Article

Identification of tumor-associated antigens of lung cancer: SEREX combined with bioinformatics analysis

Authors:
To read the full-text of this research, you can request a copy directly from the authors.

Abstract

The aim of this study is to identify novel tumor-associated antigens (TAAs) of lung cancer by using serological analysis of recombinant cDNA expression library (SEREX) and bioinformatics analysis as well as to explore their humoral immune response. SEREX and pathway enrichment analysis were used to immunoscreen TAAs of lung cancer and elaborate their function in biological pathways, respectively. Subsequently, the sera level of autoantibodies against the selected TAAs (TOP2A, TRIM37, HSP90AB1, EEF1G and TPP1) was detected by immunoserological analysis to explore the immune response of these antigens. The Gene Expression Profiling Interactive Analysis (GEPIA) and Human Protein Atlas (HPA) database were applied to explore the mRNA and protein expression level of TOP2A, TRIM37 and HSP90AB1 in tissues, respectively. Seventy positive clones were identified by SEREX which contain 63 different genes, and 35 genes of them have been reported. These 35 genes were mainly related to regulation of different transcription factor and performed enrichment in legionellosis, RNA transport, IL-17 signaling pathway via enrichment analysis. Additionally, the positive rate of autoantibodies against TOP2A, TRIM37 and HSP90AB1 in lung cancer patients were typically higher than normal control (NC; P < 0.05). Moreover, the combination of the autoantibodies against TOP2A, TRIM37 and HSP90AB1 possessed an excellent diagnostic performance with sensitivity of 84% and specificity of 60%. The mRNA expression level of TOP2A was obviously unregulated in squamous cell carcinoma (SCC) tissues and adenocarcinoma (ADC) compared to normal tissues (P < 0.05). In addition, TRIM37 and HSP90AB1 also showed a significant difference between SCC and NC at the mRNA expression level (P < 0.05). This study combining comprehensive autoantibody and gene expression assays has added to the growing list of lung cancer antigens, which may aid the development of diagnostic and immunotherapeutic targets for lung cancer patients.

No full-text available

Request Full-text Paper PDF

To read the full-text of this research,
you can request a copy directly from the authors.

... Additionally, overexpression of EEF1G has been reported previously in lung cancer, and it showed a correlation with poor prognosis in patients [67]. Among the dysregulated genes in three independent cohort studies in the Oncomine database [68], EEF1G was detected as the poor prognosis protein in lung cancer. Additionally, RAC1, a family member of Rho GTPases, is capable of inducing epithelial-to-mesenchymal transition (EMT) and has a role in cell migration and metastasis through the activation of the PI3K/AKT signaling pathway [68]. ...
... Among the dysregulated genes in three independent cohort studies in the Oncomine database [68], EEF1G was detected as the poor prognosis protein in lung cancer. Additionally, RAC1, a family member of Rho GTPases, is capable of inducing epithelial-to-mesenchymal transition (EMT) and has a role in cell migration and metastasis through the activation of the PI3K/AKT signaling pathway [68]. LMNA is a scaffolding protein that contributes to the regulation of the cell cycle in lung cancer tumor cells [69]. ...
Article
Full-text available
Background: Pleural effusion (PE) is common in advanced-stage lung cancer patients and is related to poor prognosis. Identification of cancer cells is the standard method for the diagnosis of a malignant PE (MPE). However, it only has moderate sensitivity. Thus, more sensitive diagnostic tools are urgently needed. Methods: The present study aimed to discover potential protein targets to distinguish malignant pleural effusion (MPE) from other non-malignant pathologies. We have collected PE from 97 patients to explore PE proteomes by applying state-of-the-art liquid chromatography-mass spectrometry (LC-MS) to identify potential biomarkers that correlate with immunohistochemistry assessment of tumor biopsy or with survival data. Functional analyses were performed to elucidate functional differences in PE proteins in malignant and benign samples. Results were integrated into a clinical risk prediction model to identify likely malignant cases. Sensitivity, specificity, and negative predictive value were calculated. Results: In total, 1689 individual proteins were identified by MS-based proteomics analysis of the 97 PE samples, of which 35 were diagnosed as malignant. A comparison between MPE and benign PE (BPE) identified 58 differential regulated proteins after correction of the p-values for multiple testing. Furthermore, functional analysis revealed an up-regulation of matrix intermediate filaments and cellular movement-related proteins. Additionally, gene ontology analysis identified the involvement of metabolic pathways such as glycolysis/gluconeogenesis, pyruvate metabolism and cysteine and methionine metabolism. Conclusion: This study demonstrated a partial least squares regression model with an area under the curve of 98 and an accuracy of 0.92 when evaluated on the holdout test data set. Furthermore, highly significant survival markers were identified (e.g., PSME1 with a log-rank of 1.68 × 10-6).
... To date, numerous technologies such as serological analysis of recombination cDNA expression libraries (SEREX), serological proteome analysis (SERPA) and protein microarray were utilized to discover novel TAAbs. Our previous studies have discovered several novel TAAbs of LC based on different screening approaches and further proved that the combination of TAAbs and other traditional biomarkers can dramatically improve the diagnostic accuracy of LC [7][8][9][10][11]. ...
Article
Full-text available
Background This study aims to investigate the expression of UBQLN1 in lung cancer (LC) tissue and the diagnostic capability of autoantibody to UBQLN1 (anti-UBQLN1) in the detection of LC and the discrimination of pulmonary nodules (PNs). Methods Sera from 798 participants were used to discover and validate the level of autoantibodies via HuProt microarray and Enzyme-linked immunosorbent assay (ELISA). Logistic regression analysis was applied to establish model. Receiver operating characteristic curve (ROC) analysis was performed to evaluate the diagnostic potential. Immunohistochemistry was performed to detect UBQLN1 expression in 88 LC tissues and 88 para-tumor tissues. qRT-PCR and western blotting were performed to detect the expression of UBQLN1 at the mRNA and protein levels, respectively. Trans-well assay and cell counting kit-8 (CCK-8) was used to investigate the function of UBQLN1. Results Anti-UBQLN1 was identified with the highest fold change by protein microarray. The level of anti-UBQLN1 in LC patients was obviously higher than that in NC or patients with benign lung disease of validation cohort 1 (P<0.05). The area under the curve (AUC) of anti-UBQLN1 was 0.610 (95%CI: 0.508-0.713) while reached at 0.822 (95%CI: 0.784-0.897) when combining anti-UBQLN1 with CEA, CYFRA21-1, CA125 and three CT indicators (vascular notch sign, lobulation sign and mediastinal lymph node enlargement) in the discrimination of PNs. UBQLN1 protein was overexpressed in lung adenocarcinoma (LUAD) tissues compared to para-tumor tissues. UBQLN1 knockdown remarkably inhibited the migration, invasion and proliferation of LUAD cell lines. Conclusions Anti-UBQLN1 might be a potential biomarker for the diagnosis of LC and the discrimination of PNs.
... A previous study revealed significant differences in HSP90AB1 mRNA expression levels between squamous cell carcinomas and healthy control tissue (59). The T2DM-PRGs-drug interaction network indicated that targeting of the dopamine receptor D 2 (DRD2) gene could inhibit tumors, but the effect on T2DM is unknown. ...
Article
Full-text available
Introduction Research has shown that pyroptosis contributes greatly to the progression of diabetes and its complications. However, the exact relationship between this particular cell death process and the pathology of type 2 diabetes mellitus (T2DM) remains unclear. In this study, we used bioinformatic tools to identify the pyroptosis-related genes (PRGs) associated with T2DM and to analyze their roles in the disease pathology. Methods Two microarray datasets, GSE7014 and GSE25724, were obtained from the GEO database and assessed for differentially expressed genes (DEGs). The T2DM-associated DEGs that overlapped with differentially expressed PRGs were noted as T2DM-PRGs. Subsequently, 25 T2DM-PRGs were validated and subjected to functional enrichment analysis through Gene Ontology annotation analysis, Kyoto Encyclopedia of Genes and Genomes pathway analysis, and gene set enrichment analysis (GSEA). The diagnostic and predictive value of the T2DM-PRGs was evaluated using receiver operating characteristic curves (ROC). Additionally, a single-sample GSEA algorithm was applied to study immune infiltration in T2DM and assess immune infiltration levels. Results We identified 25 T2DM-PRGs that were significantly enriched in the nuclear factor-kappa B signaling and prostate cancer pathways. The top five differentially expressed prognostic T2DM-PRGs targeted by miRNAs were PTEN, BRD4, HSP90AB1, VIM, and PKN2. The top five differentially expressed T2DM-PRGs associated with transcription factors were HSP90AB1, VIM, PLCG1, SCAF11, and PTEN. The genes PLCG1, PTEN, TP63, CHI3L1, SDHB, DPP8, BCL2, SERPINB1, ACE2, DRD2, DDX58, and BTK showed excellent diagnostic performance. The immune infiltration analysis revealed notable differences in immune cells between T2DM and normal tissues in both datasets. These findings suggest that T2DM-PRGs play a crucial role in the development and progression of T2DM and could be used as potential diagnostic biomarkers and therapeutic targets. Discussion Investigating the mechanisms and biomarkers associated with pyroptosis may offer valuable insights into the pathophysiology of T2DM and lead to novel therapeutic approaches to treat the disease.
... They are enriched in GO terms, for instance, peptidyl-tyrosine phosphorylation (GO:0018108, adjusted p value = 6.70E−33) and peptidyl-tyrosine modification (GO:0018212, adjusted p value = 1.16E−32) [60]. In [61], there are 35 genes that have been reported to be related to lung cancer. They are mainly related to GO terms in biological pathways, such as regulation of DNA-binding transcription factor activity (GO:0051090, adjusted p value = 1.51E−23), positive regulation of DNA-binding transcription factor activity, etc. ...
Article
Full-text available
Background Constructing molecular interaction networks from microarray data and then identifying disease module biomarkers can provide insight into the underlying pathogenic mechanisms of non-small cell lung cancer. A promising approach for identifying disease modules in the network is community detection. Results In order to identify disease modules from gene co-expression networks, a community detection method is proposed based on multi-objective optimization genetic algorithm with decomposition. The method is named DM-MOGA and possesses two highlights. First, the boundary correction strategy is designed for the modules obtained in the process of local module detection and pre-simplification. Second, during the evolution, we introduce Davies–Bouldin index and clustering coefficient as fitness functions which are improved and migrated to weighted networks. In order to identify modules that are more relevant to diseases, the above strategies are designed to consider the network topology of genes and the strength of connections with other genes at the same time. Experimental results of different gene expression datasets of non-small cell lung cancer demonstrate that the core modules obtained by DM-MOGA are more effective than those obtained by several other advanced module identification methods. Conclusions The proposed method identifies disease-relevant modules by optimizing two novel fitness functions to simultaneously consider the local topology of each gene and its connection strength with other genes. The association of the identified core modules with lung cancer has been confirmed by pathway and gene ontology enrichment analysis.
... To date, numerous technologies such as serological analysis of recombination cDNA expression libraries (SEREX), serological proteome analysis (SERPA) and protein microarray were utilized to discovery novel TAAbs. Our previous studies have discovered several novel TAAbs of LC based on different screening approaches and further have proved that the combination of TAAbs and other traditional biomarkers can dramatically improve the diagnostic accuracy of LC [7][8][9][10][11]. ...
Preprint
Full-text available
Background The aim of this study is to investigate the expression of UBQLN1 in lung cancer (LC) tissue and the diagnostic capability of autoantibody to UBQLN1 (anti-UBQLN1) in the detection of LC, as well as discriminating malignant and benign pulmonary nodules (PNs). Methods Sera from 798 participants of three independent cohorts were used to discover and validate the level of autoantibodies via HuProt microarray and Enzyme-linked immunosorbent assay (ELISA). Logistic regression analysis was applied to establish model combining anti-UBQLN1, CT characteristics and traditional serum biomarkers. Receiver operating characteristic curve (ROC) analysis was performed to evaluate the diagnostic potential. Immunohistochemistry of tissue array was performed to detect UBQLN1 expression in 88 LC tissues and 88 para-tumor tissues. qRT-PCR and western blotting were performed to detect the expression of UBQLN1 at the mRNA and protein levels in cell lines, respectively. Trans-well assay and cell counting kit-8 (CCK-8) was used to investigate the functions of UBQLN1 in two lung cancer cell lines (CALU3 and H358). Results Anti-UBQLN1 was identified with the highest fold change by means of protein microarray in the discovery cohort. The level of anti-UBQLN1 in LC patients was obviously higher than that in NC or patients with benign lung disease of validation cohort 1 (P < 0.05). The area under the curve (AUC) of anti-UBQLN1 was 0.610 (95%CI: 0.508–0.713) while reached at 0.822 (95%CI: 0.784–0.897) when combining anti-UBQLN1with CEA, CYFRA21-1, CA125 and three CT indicators (vascular notch sign, lobulation sign and mediastinal lymph node enlargement) in the discrimination of malignant from benign PNs. UBQLN1 protein was overexpressed in lung adenocarcinoma (LUAD) tissues compared to para-tumor tissues. UBQLN1 knockdown remarkably inhibited the migration, invasion and proliferation of two lung cancer cell lines. Conclusions UBQLN1 can elicit the humoral immune response as tumor-associated antigen in LC. The autoantibody to UBQLN1 might be a potential biomarker for LC diagnosis and might be useful to improve the discrimination of malignant from benign PNs.
... As malignant cells change the cell surface antigen, tumor cell surface antigens appear [3], which induces the immune system to produce autoantibodies [4]. Researchers have conducted in-depth studies on the establishment of serum autoantibodies against tumor-associated antigens as new specific tumor markers [5,6]. As tumor markers for the early diagnosis of cancer, autoantibodies are not only more sensitive and specific than antigens, but can also better indicate a variety of chest malignancies before clinical indications appear, such as lung cancer [7][8][9]. ...
Article
Full-text available
Aim: To explore the application value of serum autoantibodies in the early diagnosis of esophageal cancer. Materials & methods: A total of 130 patients with esophageal cancer and 110 controls were included and tested by ELISA. Results: According to the receiver operating characteristic curve, total sensitivity is 83.08%, total specificity is 72.73%. A nomogram was established based on the positive judgment standard, the area under the receiver operating characteristic curve was calculated to be 0.880 after verification with the calibration curve. A 2-week follow-up analysis found compared with the preoperative control, the postoperative model integral value will significantly decrease. Conclusion: The combination of serum autoantibody groups has certain clinical application value in the early diagnosis of esophageal cancer and can be used as an auxiliary index for early diagnosis.
Article
This study aims to discover novel autoantibodies against tumor-associated antigens (TAAs) and establish diagnostic models for assisting in the diagnosis of lung cancer and discrimination of pulmonary nodules (PNs). Ten autoantibodies to TAAbs (TAAbs) were discovered by means of protein microarray and their serum level was also higher in 212 LC patients than that in 212 NC of validation cohort 1 (P < 0.05). The model 1 comprising 4 TAAbs and CEA reached an AUC of 0.813 (95%CI: 0.762-0.864) for diagnosing LC from normal individuals. Five TAAbs existed a significant difference between 105 malignant pulmonary nodules (MPNs) and 105 benign pulmonary nodules (BPNs) patients in validation cohort 2 (P < 0.05). Model 2 could distinguish MPNs from BPNs with an AUC of 0.845. High-throughput protein microarray is an efficient approach in discovering novel TAAbs which could be used as biomarkers in lung cancer diagnosis.
Preprint
Full-text available
Purpose: This study aimed to investigate the association between pyroptosis and type 2 diabetes (T2D). Methods: Gene expression omnibus (GEO) was used to obtain two microarray datasets (GSE7014 and GSE25724), and differentially expressed genes (DEGs) were evaluated. DEGs in type 2 diabetes mellitus pyroptosis-related genes (T2DM-PRGs) were obtained by intersecting the differential genes associated with T2D and the genes associated with pyroptosis. The T2DM-PRGs were verified, and functional enrichment analysis was performed through gene ontology (GO) annotation analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and gene set enrichment analysis (GSEA). The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic predictive value of T2DM-PRG-related genes. The single-sample gene set enrichment analysis (ssGSEA) algorithm was used to analyze immune infiltration in T2DM-PRGs and immune infiltration levels. Results:A total of 25 T2DM-PRGs were obtained. GSEA comprehensively proved that the majority of genes were enriched in the NF−kappa B signaling pathway and prostate cancer. The top five miRNAs targeting T2DM-PRG-related differentially expressed prognostic genes were PTEN, BRD4, HSP90AB1, VIM, and PKN2. The top five T2DM-PRG-related DEGs of transcription factors (TFs) were HSP90AB1, VIM, PLCG1, and PTEN. ROC analysis showed that in both datasets, PLCG1, PTEN, TP63, CHI3L1, SDHB, DPP8, BCL2, SERPINB1, ACE2, DRD2, DDX58, and BTK have good diagnostic performance. We found that T2DM-PRG-related genes in the GSE7014 dataset had 28 immune cells that were significantly different between T2DM tissues and normal tissues, whereas 28 immune cells in the GSE25724 dataset were substantially different between T2DM tissues and normal tissues. Conclusions:Exploration of pyroptosis-related mechanisms and biomarkers may contribute to the understanding of T2D pathophysiology and provide a novel therapeutic option for DM.
Article
Full-text available
Esophageal cancer is one of the most commonly diagnosed malignant gastrointestinal tumors. The aim of the study was to explore the diagnostic values of anti-POSTN and anti-TIMP1 autoantibodies in esophageal squamous cell carcinoma (ESCC). Differentially expressed genes (DEGs) associated with esophageal cancer were screened out by the LIMMA method in the Gene Expression Profiling Interactive Analysis (GEPIA) platform. Search Tool for the Retrieval of Interacting Genes (STRING) was used to construct the protein–protein interaction (PPI) based on highly DEGs. The candidate hub genes were the intersection genes calculated based on degree and Maximal Clique Centrality (MCC) algorithms via Cytoscape. A total of 370 participants including 185 ESCC patients and 185 matched normal controls were enrolled in enzyme-linked immunosorbent assay (ELISA) to detect the expression levels of autoantibodies corresponding to POSTN and TIMP1 proteins. A total of 375 DEGs with high expression were obtained in esophageal cancer. A total of 20 hub genes were acquired using the cytoHubba plugin by degree and MCC algorithms. The expression levels of anti-POSTN and anti-TIMP1 autoantibodies were higher in the sera of ESCC patients (p < 0.05). Anti-POSTN autoantibody can diagnose ESCC patients with an AUC of 0.638 at the specificity of 90.27% and sensitivity of 27.57%, and anti-TIMP1 autoantibody can diagnose ESCC patients with an AUC of 0.585 at the specificity of 90.27% and sensitivity of 20.54% (p < 0.05). In addition, anti-POSTN and anti-TIMP1 autoantibodies can distinguish ESCC patients from normal controls in most clinical subgroups (p < 0.05). In conclusion, anti-POSTN and anti-TIMP1 autoantibodies may be considered the potential biomarkers in the clinical diagnosis of ESCC.
Article
Full-text available
Background Lung cancer has been a common malignant tumor with a leading cause of morbidity and mortality, current molecular targets are woefully lacking comparing to the highly progressive cancer. The study is designed to identify new prognostic predictors and potential gene targets based on bioinformatic analysis of Gene Expression Omnibus (GEO) database. Methods Four cDNA expression profiles GSE19188, GSE101929, GSE18842 and GSE33532 were chosen from GEO database to analyze the differently expressed genes (DEGs) between non-small cell lung cancer (NSCLC) and normal lung tissues. After the DEGs functions were analyzed, the protein–protein interaction network (PPI) of DEGs were constructed, and the core gene in the network which has high connectivity degree with other genes was identified. We analyzed the association of the gene with the development of NSCLC as well as its prognosis. Lastly we explored the conceivable signaling mechanism of the gene regulation during the development of NSCLC. Results A total of 92 up regulated and 214 down regulated DEGs were shared in four cDNA expression profiles. Based on their PPI network, TOP2A was connected with most of other genes and was selected for further analysis. Kaplan–Meier overall survival analysis (OS) revealed that TOP2A was associated with worse NSCLC patients survival. And both GEPIA analysis and immunohistochemistry experiment (IHC) confirmed that TOP2A was aberrant gain of expression in cancer comparing to normal tissues. The clinical significance of TOP2A and probable signaling pathways it involved in were further explored, and a positive correlation between TOP2A and TPX2 expression was found in lung cancer tissues. Conclusion Using bioinformatic analysis, we revealed that TOP2A could be adopted as a prognostic indicator of NSCLC and it potentially regulate cancer development through co-work with TPX2. However, more detailed experiments are needed to clarify its drug target role in clinical medical use.
Article
Full-text available
Incidental detection of pancreatic cysts has increased dramatically over the last decade, but risk stratification and clinical management remain a challenge. Mucinous cysts are precursor lesions to pancreatic cancer, however, the majority are indolent. Current diagnostics cannot identify mucinous cysts that harbor cancer or reliably differentiate these lesions from nonmucinous cysts, which present minimal risk of malignant progression. We previously determined that activity of two aspartyl proteases was increased in mucinous cysts. Using a global protease activity profiling technology, termed multiplex substrate profiling by mass spectrometry (MSP-MS), we now show that aminopeptidase activity is also elevated in mucinous cysts. The serine aminopeptidase, tripeptidyl peptidase 1 (TPP1), was detected by proteomic analysis of cyst fluid samples and quantitation using targeted mass spectrometry demonstrated that this protease was significantly more abundant in mucinous cysts. In a cohort of 110 cyst fluid samples, TPP1 activity was increased more than 3-fold in mucinous cysts relative to nonmucinous cysts. Moreover, TPP1 activity is primarily associated with mucinous cysts that harbor high-grade dysplasia or invasive carcinoma. Although only 59% accurate for differentiating these lesions, measurement of TPP1 activity may improve early detection and treatment of high-risk pancreatic cysts when used in conjunction with other promising biomarkers.
Article
Full-text available
The aim of the present study was to investigate the potential prognostic value of members of the heat shock protein (HSP)90 family in non-small cell lung cancer (NSCLC) patients. The mRNA expression profiles of 1,926 NSCLC patients, which was available from the Kaplan-Meier plotter database, were included in the study. High expression of HSP90AA1 mRNA was significantly associated with a poorer rate of overall survival (OS) for all NSCLC patients [hazard ratio (HR), 1.21; 95% confidence interval (CI): 1.06–1.37; P=0.004], as well as for patients with adenocarcinoma (ADE; HR, 1.3; 95% CI: 1.02–1.65; P=0.034), but no significant correlation was identified for squamous cell carcinoma (SCC) patients (HR, 1.08; 95% CI: 0.85–1.38; P=0.51). High expression of HSP90AB1 and HSP90B1 mRNA was significantly associated with poorer rates of OS in lung SCC and ADE patients combined, as well as in lung ADE patients alone. By contrast, high expression of tumor necrosis factor receptor-associated protein 1 (TRAP1) mRNA was significantly associated with improved OS rates in all NSCLC patients combined (HR, 0.88; 95% CI: 0.77–0.99; P=0.041), as well as ADE patients. In stratified survival analysis, a high expression of HSP90AA1, HSP90AB1 and HSP90B1 predicted poor prognosis in stage I NSLCC patients, suggesting that these genes may serve as stage-independent prognostic indicators. As an elevated expression of HSP90AA1, HSP90AB1, HSP90B1 and TRAP1 was associated with poorer OS outcomes in patients with NSCLC, these HSP90 members may be potential prognostic biomarkers and drug targets for the treatment of NSCLC.
Article
Full-text available
Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths that will occur in the United States and compiles the most recent data on cancer incidence, mortality, and survival. Incidence data, available through 2015, were collected by the Surveillance, Epidemiology, and End Results Program; the National Program of Cancer Registries; and the North American Association of Central Cancer Registries. Mortality data, available through 2016, were collected by the National Center for Health Statistics. In 2019, 1,762,450 new cancer cases and 606,880 cancer deaths are projected to occur in the United States. Over the past decade of data, the cancer incidence rate (2006‐2015) was stable in women and declined by approximately 2% per year in men, whereas the cancer death rate (2007‐2016) declined annually by 1.4% and 1.8%, respectively. The overall cancer death rate dropped continuously from 1991 to 2016 by a total of 27%, translating into approximately 2,629,200 fewer cancer deaths than would have been expected if death rates had remained at their peak. Although the racial gap in cancer mortality is slowly narrowing, socioeconomic inequalities are widening, with the most notable gaps for the most preventable cancers. For example, compared with the most affluent counties, mortality rates in the poorest counties were 2‐fold higher for cervical cancer and 40% higher for male lung and liver cancers during 2012‐2016. Some states are home to both the wealthiest and the poorest counties, suggesting the opportunity for more equitable dissemination of effective cancer prevention, early detection, and treatment strategies. A broader application of existing cancer control knowledge with an emphasis on disadvantaged groups would undoubtedly accelerate progress against cancer.
Article
Full-text available
Background Tripartite motif containing 37 (TRIM37) has been demonstrated to function importantly during the progression of various cancers. However, the role of TRIM37 in gastric cancer (GC) remains elusive. Materials and methods TRIM37 mRNA and protein expressions were determined by qRT-PCR, Western blot, and immunohistochemical staining in GC specimens. The effects of TRIM37 on GC cells behavior were evaluated by transwell assays in vitro and metastasis assay in vivo, respectively. Besides, qRT-PCR, Western blot, and immunofluorescence staining were employed to detect the expressions of TRIM37 and epithelial–mesenchymal transition (EMT)-related markers. Results The present study revealed that TRIM37 mRNA or protein expression was significantly increased in GC tissues compared with that in paracancerous control tissues, and its aberrant overexpression was closely associated with clinical metastasis and poor prognosis in patients with GC. TRIM37 knockdown significantly suppressed GC cells migration and invasion in vitro, as well as metastasis in vivo. Inversely, TRIM37 overexpression exerted the opposite effects. Mechanistic studies suggested that SIP1-mediated EMT might be responsible for TRIM37-facilitated GC cells migration and invasion. Conclusion Our findings revealed that high TRIM37 expression was associated with clinical metastasis and poor survival in patients with GC. TRIM37 promoted GC cells migration and invasion via EMT, mediated by the transcription factor SIP1, thus providing a candidate target for GC treatment.
Article
Full-text available
Background TRIM37 is an ubiquitin E3 ligase. Growing evidence has demonstrated the high value of TRIM37 as a potential biomarker for diagnosis of certain cancers. However, the biological function of TRIM37 in lung cancer is still unknown. Materials and methods In order to gain a deep insight into the function of TRIM37 in lung cancer cells, in the present study lentiviral vector was used to mediate RNA interference and overexpression of TRIM37 in lung cancer cells (H292, H358, and H1299). In addition, a specific AKT inhibitor LY294002 was utilized to examine the correlation between the expression of TRIM37 and AKT. Results TRIM37 acts as a positive regulator of cell proliferation in lung cancer cells. Moreover, cell apoptosis analyses showed the antiapoptosis function of TRIM37, which was mainly dependent on the regulation of BCL2 and BAX. Our results also indicated that AKT might be a target of TRIM37 in lung cancer cells. Conclusion This research not only helps in understanding the molecular mechanisms of TRIM37 in detail but also provides evidence to develop novel biomarkers for lung cancer diagnosis.
Article
Full-text available
The aim of the present study was to investigate the key pathways and genes in the progression of cervical cancer. The gene expression profiles GSE7803 and GSE63514 were obtained from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified using GEO2R and the limma package, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted using the Database for Annotation, Visualization and Integrated Discovery. The hub genes were identified using Cytoscape and protein-protein interaction (PPI) networks were constructed using the STRING database. A total of 127 and 99 DEGs were identified in the pre-invasive and invasive stages of cervical cancer, respectively. GO enrichment analysis indicated that the DEGs in pre-invasive cervical cancer were primarily associated with the ‘protein binding’, ‘single-stranded DNA-dependent ATPase activity’, ‘DNA replication origin binding’ and ‘microtubule binding’ terms, whereas the DEGs in invasive cervical cancer were associated with the ‘extracellular matrix (ECM) structural constituent’, ‘heparin binding’ and ‘integrin binding’. KEGG enrichment analysis revealed that the pre-invasive DEGs were significantly enriched in the ‘cell cycle’, ‘DNA replication’ and ‘p53 signaling pathway’ terms, while the invasive DEGs were enriched in the ‘amoebiasis’, ‘focal adhesion’, ‘ECM-receptor interaction’ and ‘platelet activation’ terms. The PPI network identified 4 key genes (PCNA, CDK2, VEGFA and PIK3CA), which were hub genes for pre-invasive and invasive cervical cancer. In conclusion, bioinformatics analysis identified 4 key genes in cervical cancer progression (PCNA, CDK2, VEGFA and PIK3CA), which may be potential biomarkers for differentiating normal cervical epithelial tissue from cervical cancer.
Article
Full-text available
Background: Topoisomerase II alpha (TOP2A) protein has been shown to be a proliferation marker associated with tumor grade and Ki67 index. The prognostic effect of TOP2A seems different among different subtypes of breast cancer. The current study evaluated the prognostic impact of TOP2A protein on luminal breast cancer. Method: Altogether 434 stage I-II luminal breast cancer patients who underwent curative surgery in Sun Yat-Sen University Cancer Center between 2007 and 2009 were enrolled. TOP2A protein expression was assessed by immunohistochemistry. Clinical and pathological data were retrospectively collected. Result: With a cut-off value of 30%, 127 (29.3%) patients were classified as TOP2A overexpression. TOP2A overexpression was associated with a higher tumor grade and Ki67 index. Patients with TOP2A high expression showed a significantly higher rate of distant metastasis and shorter distant metastasis free survival (DMFS) compared with patients with low TOP2A expression. The prognostic influence of TOP2A expression was more significant in years 5-8 after diagnosis, and more pronounced in stage II patients, luminal B disease, and patients treated with adjuvant endocrine therapy alone. Multivariate survival analysis revealed TOP2A overexpression was an independent fact for worse DMFS. Conclusion: TOP2A protein showed a time dependent influence on prognosis in stage I-II luminal breast cancer, suggesting it might be a potential predictor of late recurrence for this group of patients.
Article
Full-text available
Human clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignant adult kidney tumors. We constructed a weighted gene co-expression network to identify gene modules associated with clinical features of ccRCC (n = 97). Six hub genes (CCNB2, CDC20, CEP55, KIF20A, TOP2A and UBE2C) were identified in both co-expression and protein-protein interaction (PPI) networks, which were highly correlated with pathologic stage. The significance of expression of the hub genes in ccRCC was ranked top 4 among all cancers and correlated with poor prognosis. Functional analysis revealed that the hub genes were significantly enriched in cell cycle regulation and cell division. Gene set enrichment analysis suggested that the samples with highly expressed hub gene were correlated with cell cycle and p53 signaling pathway. Taken together, six hub genes were identified to be associated with progression and prognosis of ccRCC, and they might lead to poor prognosis by regulating p53 signaling pathway.
Article
Full-text available
Purpose: Current clinical parameters do not stratify indolent from aggressive prostate cancer (PCa). Aggressive PCa, defined by the progression from localized disease to metastasis, is responsible for the majority of PCa-associated mortality. Recent gene expression profiling has proven successful in predicting the outcome of PCa patients, however they have yet to provide targeted therapy approaches that could inhibit a patient's progression to metastatic disease. Experimental design: We have interrogated a total of seven primary PCa cohorts (N = 1,900), two metastatic castration resistant PCa datasets (N = 293) and one prospective cohort (N = 1,385) to assess the impact of TOP2A and EZH2 expression on PCa cellular program and patient outcomes. We also performed immunohistochemical staining for TOP2A and EZH2 in a cohort of primary PCa patients (N = 89) with known outcome. Finally, we explored the therapeutic potential of a combination therapy targeting both TOP2A and EZH2 using novel PCa-derived murine cell lines. Results: We demonstrate by genome-wide analysis of independent primary and metastatic PCa datasets that concurrent TOP2A and EZH2 mRNA and protein up-regulation selected for a subgroup of primary and metastatic patients with more aggressive disease and notable overlap of genes involved in mitotic regulation. Importantly, TOP2A and EZH2 in PCa cells act as key driving oncogenes, a fact highlighted by sensitivity to combination-targeted therapy. Conclusions: Overall, our data supports further assessment of TOP2A and EZH2 as biomarkers for early identification of patients with increased metastatic potential that may benefit from adjuvant or neo-adjuvant targeted therapy approaches.
Article
Full-text available
Identification of biomarkers for early detection of lung cancer (LC) is important, in turn leading to more effective treatment and reduction of mortality. Serological proteome analysis (SERPA) was used to identify proteins around 34 KD as ECH1 and HNRNPA2B1 which had been recognized by serum autoantibody from 25 LC patients. In the validation study including 90 sera from LC patients and 89 sera from normal individuals, autoantibody to ECH1 achieved an area under the curve (AUC) of 0.799 with sensitivity of 62.2% and specificity of 95.5% in discriminating LC from normal individuals, and showed negative correlation with tumor size (rs = 0.-256, P = 0.023). Autoantibody to HNRNPA2B1 performed an AUC of 0.874 with sensitivity of 72.2% and specificity of 95.5%, and showed negative correlation with lymph node metastasis (rs = 0.-279, P = 0.012). By using longitudinal preclinical samples, autoantibody to ECH1 showed an AUC of 0.763 with sensitivity of 60.0% and specificity of 89.3% in distinguishing early stage LC from matched normal controls, and elevated autoantibody levels could be detected greater than two years prior to LC diagnosis. ECH1 and HNRNPA2B1 are autoantigens that elicit autoimmune responses in LC and their autoantibody can be the potential biomarkers for the early detection of LC.
Article
Full-text available
DNA topoisomerases are essential to modulate DNA topology during various cellular genetic processes. The expression and distinct prognostic value of topoisomerase isoforms in non-small-cell lung cancer (NSCLC) is not well established. In the current study, we have examined the mRNA expression of topoisomerase isoforms by using Oncomine analysis and investigated their prognostic value via the Kaplan–Meier plotter database in NSCLC patients. Our analysis indicated that the expression level of topoisomerases in lung cancer was higher compared with normal tissues. Especially, high expression of two topoisomerase isoforms, TOP2A and TOP3A, was found to be correlated to worse overall survival (OS) in all NSCLC and lung adenocarcinoma (Ade) patients, but not in lung squamous cell carcinoma (SCC) patients. In a contrast, high expression of isoforms TOP1 and TOP2B indicated better OS in all NSCLC and Ade, but not in SCC patients. Meanwhile, high expression of TOP1MT and TOP3B was not correlated with OS in NSCLC patients. Furthermore, we also demonstrated a relationship between topoisomerase isoforms and the clinicopathological features for the NSCLC patients, such as grades, clinical stages, lymph node status, smoking status, gender, chemotherapy and radiotherapy. These results support that TOP2A and TOP3A are associated with worse prognosis in NSCLC patients. In addition, our study also shows that TOP1 and TOP2B contribute to favorable prognosis in NSCLC patients. The exact prognostic significance of TOP1MT and TOP3B need to be further elucidated. Comprehensive evaluation of expression and prognosis of topoisomerase isoforms will be a benefit for the better understanding of heterogeneity and complexity in the molecular biology of NSCLC, paving a way for more accurate prediction of prognosis and discovery of potential drug targets for NSCLC patients.
Article
Full-text available
There is substantial research on the oncogenic role of tripartite motif containing 37 (TRIM37); however, its importance in colorectal cancer (CRC) remains to be elucidated. The present study used reverse transcription‑quantitative polymerase chain reaction, immunohistochemistry and western blotting to detect the expression level of TRIM37 in CRC. The importance of TRIM37 in cell proliferation, invasion and metastasis of CRC were investigated through overexpressing or knocking‑down of TRIM37 in CRC cell lines, to observe its function. The present study revealed that TRIM37 was overexpressed in human CRC tissues. High TRIM37 expression resulted in increased CRC proliferation, migration and invasion. Mechanistically, it was confirmed that TRIM37 enhanced invasion and metastasis of CRC via the epithelial‑mesenchymal transition pathway. In conclusion, the present study suggested that TRIM3 may contribute to CRC and act as a potential therapeutic target for CRC treatment.
Article
Full-text available
The nuclear factor kappa B ( NFκB ) family of transcription factors is a key regulator of immune development, immune responses, inflammation, and cancer. The NFκB signaling system (defined by the interactions between NFκB dimers, IκB regulators, and IKK complexes) is responsive to a number of stimuli, and upon ligand–receptor engagement, distinct cellular outcomes, appropriate to the specific signal received, are set into motion. After almost three decades of study, many signaling mechanisms are well understood, rendering them amenable to mathematical modeling, which can reveal deeper insights about the regulatory design principles. While other reviews have focused on upstream, receptor proximal signaling (Hayden MS, Ghosh S. Signaling to NF‐κB. Genes Dev 2004, 18:2195–2224; Verstrepen L, Bekaert T, Chau TL, Tavernier J, Chariot A, Beyaert R. TLR‐4, IL‐1R and TNF‐R signaling to NF‐κB: variations on a common theme. Cell Mol Life Sci 2008, 65:2964–2978), and advances through computational modeling (Basak S, Behar M, Hoffmann A. Lessons from mathematically modeling the NF‐κB pathway. Immunol Rev 2012, 246:221–238; Williams R, Timmis J, Qwarnstrom E. Computational models of the NF‐KB signalling pathway. Computation 2014, 2:131), in this review we aim to summarize the current understanding of the NFκB signaling system itself, the molecular mechanisms, and systems properties that are key to its diverse biological functions, and we discuss remaining questions in the field. WIREs Syst Biol Med 2016, 8:227–241. doi: 10.1002/wsbm.1331 This article is categorized under: Biological Mechanisms > Cell Signaling Models of Systems Properties and Processes > Mechanistic Models Physiology > Organismal Responses to Environment
Article
Full-text available
Topoisomerases are nuclear enzymes that regulate topology of DNA by facilitating the temporary cleavage and ligation cycle of DNA. Among all forms of topoisomerases, TOP-IIA is extensively associated with cell proliferation and therefore is an important therapeutic target in diseases that involved cellular proliferation such as cancers. Nearly half of present-day antitumor regimens contain at least one prescription that act as a topoisomerase inhibitor. Generally, tumor cells show divergent expression of TOP-IIA compared to normal cells. The remarkable expression of TOP-IIA in various carcinomas provides a significant biomarker toward understanding the nature of malignancy. TOP-IIA expression and amplification studies help in diagnosing cancer and to observe the disease progression, overall survival (OS) of patients, and response to therapy. This review highlights the research output and analysis in exploring the standing of TOP-IIA in various carcinomas. As some reports show contradiction within the same field of interest, the outline of that may help to induce researchers for further investigation and clarification. To the best of our knowledge, this is the first overview briefly summarizing the prognostic feature of TOP-IIA in various types of cancer.
Article
Full-text available
Autophagy, a homeostatic process whereby eukaryotic cells target cytoplasmic cargo for degradation, plays a broad role in health and disease states. Here we screened the TRIM family for roles in autophagy and found that half of TRIMs modulated autophagy. In mechanistic studies, we show that TRIMs associate with autophagy factors and act as platforms assembling ULK1 and Beclin 1 in their activated states. Furthermore, TRIM5α acts as a selective autophagy receptor. Based on direct sequence-specific recognition, TRIM5α delivered its cognate cytosolic target, a viral capsid protein, for autophagic degradation. Thus, our study establishes that TRIMs can function both as regulators of autophagy and as autophagic cargo receptors, and reveals a basis for selective autophagy in mammalian cells.
Article
Full-text available
Induction of premature senescence may be a promising strategy for cancer treatment. However, biomarkers for senescent cancer cells are lacking. To identify such biomarkers, we performed comparative proteomic analysis of MCF7 human breast cancer cells undergoing cellular senescence in response to ionizing radiation (IR). IR-induced senescence was associated with up-regulation of cathepsin D (CD) and down-regulation of eukaryotic translation elongation factor 1beta2 (eEF1B2), as confirmed by Western blot. The other elongation factor, eukaryotic translation elongation factor 1alpha1 (eEF1A1), was also down-regulated. IR-induced senescence was associated with similar changes of CD and eEF1 (eEF1A1 and eEF1B2) levels in the HCT116 colon cancer cell line and the H460 lung cancer cell line. Up-regulation of CD and down-regulation of eEF1 seemed to be specific to senescence, as they were observed during cellular senescence induced by hydrogen peroxide or anticancer drugs (camptothecin, etoposide, or 50 ng doxorubicin) but not during apoptosis induced by Taxol or 10 microg doxorubicin or autophagy induced by tamoxifen. The same alterations in CD and eEF1A1 levels were observed during replicative senescence and Ras oncogene-induced senescence. Transient cell cycle arrest did not alter levels of eEF1 or CD. Chemical inhibition of CD (pepstatin A) and small interfering RNA-mediated knockdown of CD and eEF1 revealed that these factors participate in cell proliferation. Finally, the senescence-associated alteration in CD and eEF1 levels observed in cell lines was also observed in IR-exposed xenografted tumors. These findings show that CD and eEF1 are promising markers for the detection of cellular senescence induced by a variety of treatments.
Article
Full-text available
Mantle cell lymphoma (MCL) is a malignant lymphoma associated with a relatively aggressive clinical course and a median overall survival time of 3-4 years. Treatment usually consists of combination chemotherapy, often including topoisomerase (topo) inhibitors such as doxorubicin, etoposide and mitoxantrone. Topo IIalpha is an enzyme that is needed whenever uncoiling of DNA is necessary during the cell cycle. The enzyme is a marker of cell proliferation. We analyzed the expression of topo IIalpha in relation to Ki-67 and the clinical outcome in patients with MCL. Biopsy specimens from 95 untreated patients enrolled in two multicenter trials (1975-1985) were investigated immunohistochemically with monoclonal antibodies against topo IIalpha (Ki-S4) and Ki-67 (Ki-S5). Patients with low (0-10%) topo IIalpha expression had a median overall survival time of 49.0 months, compared to 17.0 months for patients with high (more than 10%) topo IIalpha expression. The Kaplan-Meier analysis showed a significant difference in the overall survival time related to the percentage of topo IIalpha (P<0.001) and Ki-67 (P<0.001) positive tumor cells. Multivariate Cox regression analysis revealed the expression of topo IIalpha as the most important prognostic factor (P<0.001) in MCL superior to the international prognostic index (IPI), the Ki-67 index and other clinical characteristics.
Article
Full-text available
c-erbB2 (also known as HER-2/neu) and topoisomerase IIalpha are frequently overexpressed in breast cancer. The aim of the study was to analyze retrospectively whether the expression of c-erbB2 and topoisomerase IIalpha protein influences the long-term outcome of patients with primary breast cancer. In this study c-erbB2 and topoisomerase IIalpha protein were evaluated by immunohistochemistry in formalin-fixed paraffin-embedded tissue from 225 samples of primary breast cancer, obtained between 1986 and 1998. The prognostic value of these markers was analyzed. Of 225 primary breast tumor samples, 78 (34.7%) showed overexpression of either c-erbB2 (9.8%) or topoisomerase IIalpha protein (24.9%), whereas in 21 tumors (9.3%) both proteins were found to be overexpressed. Patients lacking both c-erbB2 and topoisomerase IIalpha overexpression had the best long-term survival. Overexpression of either c-erbB2 or topoisomerase IIalpha was associated with shortened survival, whereas patients overexpressing both c-erbB2 and topoisomerase IIalpha showed the worst disease outcome (P < 0.0001). Treatment with anthracyclines was not capable of reversing the negative prognostic impact of topoisomerase IIalpha or c-erbB2 overexpression. The results of this exploratory study suggest that protein expression of c-erbB2 and topoisomerase IIalpha in primary breast cancer tissues are independent prognostic factors and are not exclusively predictive factors for anthracycline response in patients with primary breast cancer.
Article
Full-text available
HER2 and TOP2A genes, located on 17q, can be coamplified in cancer. Overexpression of both genes has been reported in high-grade, androgen-resistant prostate cancer. Both genes have not been compared in a single prostate cancer study and the frequency of TOP2A amplifications in prostate cancer is unknown. Using tissue microarrays, we did immunohistochemistry and fluorescence in situ hybridization for HER2 and TOP2A in 100 prostate cancers (41 localized and 59 advanced) and 42 cases of benign prostatic hyperplasia (BPH). Amplification was defined as a target/centromere signal ratio of > or =1.5. HER2 immunohistochemistry was scored from 0 to 3+. Percentage nuclei staining for topoisomerase IIalpha (topoIIalpha) was recorded; overexpression was defined as > or =5% cells staining. Eighteen (31%) advanced prostate cancers showed topoIIalpha overexpression; 12 (26%) showed TOP2A low-level amplification; 9 (16%) expressed HER2; and 6 (13%) showed HER2 low-level amplification. No high-level amplification of either gene (target/centromere signal ratio of > or =3.0) was detected. TOP2A coexpression and coamplification were seen in 75% and 66% of HER2-positive cases, respectively. Localized prostate cancer or BPH showed no gene amplification or topoIIalpha overexpression. Gene amplification or overexpression correlated with high stage and Gleason score. The presence of TOP2A amplification in advanced cancer was associated with androgen resistance and decreased survival by multivariate analysis. This is the first study to document low-level TOP2A amplification in prostate cancer and an association with reduced survival. TOP2A amplification may occur with or without HER2 duplication and is often associated with topoIIalpha expression. Therapies directed against topoIIalpha (and HER2) in such patients may improve survival.
Article
Full-text available
There is considerable evidence that the presence of cancer can elicit a humoral immune response to specific proteins in the host, and these resulting autoantibodies may have potential as noninvasive biomarkers. To characterize the autoantibody repertoire present in the sera of patients with lung adenocarcinoma, we developed a high-density peptide microarray derived from biopanning a lung cancer phage display library. Using a 2,304-element microarray, we interrogated a total of 250 sera from Michigan lung cancer patients and noncancer controls to develop an "autoantibody profile" of lung adenocarcinoma. A set of 22 discriminating peptides derived from a training set of 125 serum samples from lung adenocarcinoma patients and control subjects was found to predict cancer status with 85% sensitivity and 86% specificity in an independent test set of 125 sera. Sequencing of the immunoreactive phage-peptide clones identified candidate humoral immune response targets in lung adenocarcinoma, including ubiquilin 1, a protein that regulates the degradation of several ubiquitin-dependent proteasome substrates. An independent validation set of 122 serum samples from Pittsburgh was examined using two overlapping clones of ubiquilin 1 that showed 0.79 and 0.74 of the area under the receiver operating characteristics curve, respectively. Significantly increased levels of both ubiquilin 1 mRNA and protein, as well as reduced levels of the phosphorylated form of this protein, were detected in lung tumors. Immunofluorescence using anti-ubiquilin 1 antibodies confirmed intracellular expression within tumors cells. These studies indicate that autoantibody profiles, as well as individual candidates, may be useful for the noninvasive detection of lung adenocarcinoma.
Article
Objective: The identification of tumor-associated antigens (TAAs) and their corresponding autoantibodies in lung cancer (LC) may expand our vision of cancer immunity. This study aims to screen novel TAAs to distinguish LC from the healthy population. Methods: In our previous study, 35 genes encoding LC-associated TAAs were identified from the serological analysis of recombinant cDNA expression libraries (SEREX), and Oncomine database was further used to identify potential genes in cancer progression. Autoantibody to TAAs were tested by enzyme-linked immunosorbent assay (ELISA) in sera from 1379 participants in validation set and verification set. Findings: Based on analysis of three independent microarrays in Oncomine, ten genes were consistently dysregulated in LC. The sera level and positive frequency of the anti-TOP2A, anti-ACTR3, anti-RPS6KA5 and anti-PSIP1 from LC patients were higher than normal control in validation set. The area under curve (AUC) of anti-TOP2A, anti-ACTR3, anti-RPS6KA5 and anti-PSIP1 was respectively 0.758, 0.787, 0.707, 0.668. The sensitivity of these four autoantibodies for LC detection ranged from 26.63 % to 32.07 % with the specificity over 90 %. Data from the verification set confirmed the results. Except that, the frequency of serum autoantibody against TOP2A (43.3 %) and ACTR3 (50.0 %) was significantly higher in early stage LC than late stage (23.6 % and 22.3 %, respectively). Conclusion: TOP2A, ACTR3, RPS6KA5 and PSIP1 can elicit humoral immune response in LC and their autoantibodies have relationship with the tumorigenesis of LC. Anti-TOP2A and anti-ACTR3 have the potential to serve as a serological biomarkers in early stage LC.
Article
Objectives: The purpose of this study is to discover novel tumor-associated antigens (TAAs) to improve the diagnosis of lung cancer (LC). Materials and methods: Oncomine database was used to discover potential TAAs from LC tissues, enzyme-linked immunosorbent assay (ELISA) was used to detect the levels of autoantibodies against TAAs in two independent sets (identification set, n = 368; validation set, n = 1011). Results: Analyses of sera from identification set showed that the sensitivity of autoantibodies against five TAAs (HMGB3, ZWINT, GREM1, NUSAP1 and MMP12) reached 57.1%, 42.4%, 38.0%, 36.4% and 20.7%, with area under ROC curve(AUC) of 0.85, 0.75, 0.71, 0.73 and 0.70, respectively. It also validated the diagnostic performances of these autoantibodies with AUC of 0.72, 0.65, 0.61, 0.64 and 0.64, respectively. Autoantibody against HMGB3 exhibited significantly increased frequency in early LC (53.3%) compared to advanced LC (29.3%) (P < .05). The positive rates of autoantibody against HMGB3 and NUSAP1 in serum of LC patients without distant metastasis were significantly higher than that of distant metastatic LC (P < .05). When each of the three protein biomarkers (CEA, CA125 and CYFRA21-1) was combined with anti-HMGB3 autoantibody, the sensitivity of early LC increased to 72.7%, 63.3% and 75.9% from 36.4%, 13.3% and 27.6%, respectively. Conclusion: Autoantibodies against 5 TAAs (HMGB3, ZWINT, GREM1, NUSAP1 and MMP12) might have favorable diagnostic values in LC detection, and autoantibody against HMGB3 has the potential to serve as a serological biomarker in early-stage LC. The combination of protein biomarkers and anti-HMGB3 might contribute to detection of early-stage LC.
Article
Objective: Lung cancer (LC) is one of the most common malignant tumors worldwide with low five-year survival rate due to lack of effective diagnosis. This study aims to find an optimal combination of autoantibodies for detecting of early-stage LC. Methods: Nine relatively novel autoantibodies against tumor-associated (TAAs) (PSIP1, TOP2A, ACTR3, RPS6KA5, HMGB3, MMP12, GREM1, ZWINT and NUSAP1) were detected by using ELISA. Diagnostic models were developed by using the training set (n = 644) and further validated in another independent set (n = 248). We also evaluated the diagnostic accuracy of the model to detect benign lung diseases (BLD) from the early-stage lung cancer. Results: The areas under the receiver operating characteristic curve (AUC) for the model with three TAAs panel (GREM1, HMGB3 and PSIP1) was 0.711(95% CI 0.674-0.746) in the training set and 0.858 (95% CI 0.808-0.899) in the validation set, which demonstrated a higher diagnostic capability. The AUC of this three TAAs model was 0.833 (95%CI 0.780-0.878) in discriminating LC from BLD. This model could identify early-stage LC patients from normal control (NC) individuals, with AUC of 0.687(95% CI 0.634-0.736) in training set and AUC of 0.920(95% CI 0.860-0.960) in validation set, and the overall AUC for early-stage LC was 0.779(95% CI 0.739-0.816) when the training set and validation set were combined. Conclusions: The model with three TAAs panel would detect LC with higher effectiveness, and might be potential screening method for the early LC.
Article
Primary hepatic cancer refers to a malignant tumor that enables lethal cancero-metastasis. And hepatocellular carcinoma (HCC) is a most common cancer, accounting for around 75% of all cases. However, effective screening and diagnostic methods of HCC are limited currently. Heat shock protein 90 (HSP90), a sensitive biomarker, is found marked elevation in various malignancies. Thus, potential association between HSP90 expression and pathological onset of HCC is needed to be investigated. In current human study, plasma samples of advanced HCC patients were collected for biochemical assays, and cancer, non-cancer tissues from biopsy were stained immunohistochemically. In cell culture study, a human HepG2 cell line was subjected to a group of assays followed by HSP90 and inhibitor treatments. As results, the clinical data of HCC patients resulted in abnormal altered levels of serous molecules when compared to diagnostical references. However, these enzymatic changes showed no statistical significance. Significantly, plasma contents of HSP90 in HCC patients were elevated in comparison with those in HCC-free adults (P<0.01). As shown in immunofluorescence stains, hepatocellular HSP90-labeled cells in alpha fetoprotein (AFP)-positive and negative HCC sections were obviously expressed. In cell culture data, HSP90-induced HepG2 cells resulted in increased cell proliferation, and proliferating cell nuclear antigen (PCNA)-, B-cell lymphoma 2 (Bcl-2)-positive cells (P<0.05). In addition, HSP90 inhibitor-treated HepG2 cells showed effectively reduced cell growth, and PCNA-, Bcl-2-positive cell counts. Taken together, our current findings demonstrate that hepatocellular HSP90 may be positively involved in development of HCC, and it is likely a potential biomarker for monitoring advanced HCC.
Article
Recent research has shown that TOP2A plays an important role in the tumorigenesis of many malignancies, such as breast cancer, ovarian cancer, and prostate cancer. However, few studies have been conducted on TOP2A expression and functions in colon cancer. In the present study, we found that TOP2A expression was obviously elevated in colon cancer tissues compared to adjacent non‐cancerous tissues. Depletion of TOP2A in HCT116 and SW480 colon cancer cells by transfection of specific small interfering RNA significantly suppressed proliferation and inhibited invasion of cells, even induced apoptosis as indicated by both MTT assay, Annexin V/propidium iodide staining, and Transwell assay. Furthermore, we explored the underlying mechanisms. Knockdown of TOP2A not only affects the expression of cell apoptosis‐related (Bcl‐2 and Bax) and invasion‐related proteins (MMP‐2 and MMP‐9), but also reduced the phosphorylation levels of ERK and AKT. In conclusion, we showed that TOP2A was upregulated in colon cancer tissue samples and that TOP2A may serve as an oncogene in colon cancer. 1. Upregulation of TOP2A in colon cancer tissues, 2. Increased TOP2A expression in colon cancer is associated with tumor stage, and 3. Downregulation of TOP2A expression inhibits colon cancer cell proliferation.
Article
Content: Identification of panel of SEREX-defined antigens for breast cancer autoantibodies profile detection. Objective: To create panel of antigens that can differentiate breast cancer patients and healthy individuals. Methods: SEREX (serological analysis of cDNA expression libraries) method, ELISA, qPCR. Results: In large-scale screening of 16 SEREX-antigens by sera of breast cancer patients and healthy donors a combination of 6 antigens (RAD50, PARD3, SPP1, SAP30BP, NY-BR-62 and NY-CO-58) was identified, which can differentiate breast cancer patients and healthy donors with 70% sensitivity and 91% specificity. Elevated mRNA expression of SPP1 gene was revealed in breast tumors (2-7 fold), that correlated with SPP1 antigen immunoreactivity in autologous patients’ sera. Conclusions: The new panel of 6 SEREX-antigens was proposed which enables creation of serological assay for breast cancer diagnostics and/or prognosis.
Article
Increasing evidence indicated that tripartite motif containing 37 (TRIM37) was involved in the tumorigenesis of several cancer types. However, its expression pattern and biological functions in pancreatic ductal adenocarcinoma (PDAC) remained unknown. In this study, real-time PCR, Western blot and immunohistochemistry was performed to examine the expression of TRIM37 in the pancreatic cancerous tissues. Colony formation assay and cell migration assay were performed to study the functions of TRIM37 in pancreatic cancer cells. Dual-luciferase assay was performed to study the regulation of TRIM37 on beta-catenin/TCF signaling. It was found that the expression level of TRIM37 was significantly higher in pancreatic cancerous tissues compared with the adjacent normal tissues. Function analysis indicated that overexpression of TRIM37 promoted the growth and migration of the pancreatic cancer cells, while knocking down the expression of TRIM37 inhibited the growth and migration of the pancreatic cancer cells. The molecular mechanism study suggested that TRIM37 interacted with beta-catenin and activated the transcriptional activity of beta-catenin/TCF complex as well as the expression of its downstream target genes. Taken together, our study showed the oncogenic roles of TRIM37 in pancreatic cancer, and TRIM37 might be a promising target for pancreatic cancer treatment.
Article
HSP90AB1 (heat shock protein 90 kDA alpha, class B, member 1), also known as HSP90beta, is a member of the large family of HSPs which function as molecular chaperones. Chaperones, by binding to client proteins, support proper protein folding and maintain protein stability, especially after exposure to various kinds of cellular stress. Client proteins belong to various protein families including kinases, ubiquitin ligases and transcription factors. HSP90 proteins act as dimers and bind clients with the help of co-chaperones. The co-chaperones influence many functions including client binding, ATPase activity or ATP binding of HSP90. HSPs are necessary for a large scale of cellular processes and therefore essential for cell survival. Since client proteins can be mutant proteins that would be degraded without the help of chaperones, HSPs also promote tumor formation and cancer cell proliferation. As such, they are also targets for new therapeutic approaches in cancer treatment. This review focuses on recent studies on HSP90AB1, if possible in comparison with its close homologue HSP90AA1.
Article
Hepatocellular carcinoma (HCC) is the most common cancer in the world especially in East Asia and Africa. Advanced stage, metastasis and frequent relapse are responsible for the poor prognosis of HCC. However, the precise mechanisms underlying HCC remained unclear. So it is urgent to identify the pathological processes and relevant molecules of HCC. TRIM37 is an E3 ligase and has been observed deregulated expression in various tumors. Recent studies of TRIM37 have implicated that TRIM37 played critical roles in cell proliferation and other processes. In the present study, we demonstrated that TRIM37 expression was notably up-regulated in HCC samples and was associated with advanced stage and tumor volume, which all indicating the poor outcomes. We also found that TRIM37 could serve as an independent prognostic factor of HCC. During the course of in vitro and in vivo work, we showed that TRIM37 promoted HCC cells migration and metastasis by inducing EMT. Furthermore, we revealed that the effect of TRIM37 mediated EMT in HCC cells was achieved by the activation of Wnt/β-catenin signaling. These finding may provide insight into the understanding of TRIM37 as a novel critical factor of HCC and a candidate target for HCC treatment. Copyright © 2015. Published by Elsevier Inc.
Article
Purpose: Altered expression of heat shock protein 90 alpha (Hsp90α) was associated with tumor development, progression, and metastasis. This study explored plasma levels of Hsp90α protein in patients with lung cancer and other controls to assess its diagnostic value and monitor treatment responses for patients with lung cancer. Experimental design: A total of 2,247 individuals were recruited and assigned into two cohorts as static and dynamic groups. ELISA analysis and confirmation of plasma Hsp90α protein levels for association with tumor stages and treatment responses, respectively, were performed. Results: The average plasma levels of Hsp90α protein in patients with lung cancer were significantly higher than in healthy controls (P < 0.0001). Plasma levels of Hsp90α protein in patients with advanced lung cancer (stage III-IV) were higher than in patients with early-stage lung cancer (stage I-II; P < 0.001). Using a cutoff value of 56.33 ng/mL to separate lung cancer from other controls, the sensitivity and specificity reached 72.18% (95% CI, 0.695-0.749) and 78.70% (95% CI, 0.761-0.813), respectively. To confirm the different levels in the second cohort, plasma levels of Hsp90α protein showed a statistically significant difference between preoperative and postoperative patients in surgical patient groups (P < 0.007). There was also a statistically significant difference between the disease progressive group and stable disease group, with regard to partial response after chemotherapy (P < 0.0001). Conclusions: This study demonstrated that plasma Hsp90α protein levels are useful as a diagnostic biomarker in lung cancer and predict the responses of patients with lung cancer to chemotherapy.
Article
Objective: To screen out effective lung cancer associated antigens for early diagnosis in order to improve the level of early diagnosis. Methods: A T7 phage display cDNA library of human early lung cancer was developed. And then differential phage clones were picked out to be sequenced and bioinformatically analyzed. With the 8 screened differential phage clones a lung cancer associated antigen microarray was established to evaluate the single or combined roles of all the selected antigens in the diagnosis of lung cancer by the reaction of the antigens plus serum from normal subjects and patients with lung cancer, respectively. Results: The titer of the constructed cDNA library was 3.71×10 (6); pfu/ml and the number of phage was 1.11×10 (6); pfu, with a recombination rate of cDNA library over 90%. Nine differential phage clones were initially screened out, but the genes of two antigens (A42 and A83) were found the same. Bioinformatics analyses showed that the genes of the 8 antigens were known before and they were all proven to be related with tumor except A64. The positive reaction rates of the 8 antigens with serum from lung cancer patients were significantly higher than that with serum from normal subjects (Ps<0.05). When keeping specificity no less than 60%, the sensitivity of each antigen in predicting lung cancer alone was under 70% and the areas under curve (AUC) of the antigens were all under 0.8. However, when all the antigens were combined to detect lung cancer, the sensitivity and specificity was 90.8% and 94.1%, respectively, and AUC reached up to 0.969. Conclusion: A T7 phage display cDNA library with a good quality of capacity, recombination rate and representativeness of human early lung cancer was successfully developed, and 8 lung cancer associated antigens were screened out. A combination of the 8 antigens can greatly improve their value to diagnose lung cancer with a higher sensitivity and specificity (both above 90%).
Article
Cancer/testis (CT) antigens are considered promising target molecules for immunotherapy. To efficiently identify potential CT antigens, a testis cDNA library was immunoscreened with sera from hepatocellular carcinoma (HCC) patients. We isolated 3 different antigens, AKAP3, CTp11, and UBQLN3. Although AKAP3 and CTp11 have been previously reported as CT antigens, this is the first time that these 2 antigens have been isolated from HCC patients by SEREX. Conventional RT-PCR analysis showed that AKAP3 was frequently present in HCC cell lines (5/7) and HCC tissues (5/10), and the gene was broadly expressed in several cancer types, including breast cancer cell lines (3/6), breast cancer tissues (6/9), colon cancer cell lines (3/10), colon cancer tissues (5/6), ovary cancer cell lines (6/8), ovary cancer tissues (11/16), lung cancer cell lines (4/7) and lung cancer tissues (6/13). By phage plaque analysis, anti-AKAP3 antibody was detected in sera from 15 of 27 HCC patients and 8 of 27 healthy donors. These data suggest that AKAP3 may be useful for diagnosis and immunotherapy in HCC patients.
Article
Tumour-associated antigens (TAA) can be detected prior to clinical diagnosis and thus would be ideal biomarkers for early detection of cancer using only a few microliters of a patient's serum. In this article we provide a summary of TAA screening and serum-profiling conducted for breast, prostate, lung and colon cancers. Different methodological approaches, including SEREX, SERPA, and phage display for TAA identification and TAA panels are summarised, and a revision of array based techniques is provided. The most promising studies performed on these cancers (performed with 80-400 serum samples, including controls) obtained sensitivities in a range of 44-95% and specificities of 80-100%. From the various studies reviewed, only one performed cross validation (AUC=0.71) in a prostate cancer study. Thus, albeit receiver operation characteristics are very promising, cross validation of most studies is still missing. Additionally, the concerted action of research groups for standardization of serum-TAA testing and cross validation is required. Along with today's technological options, the chances of establishing TAA biomarkers are now higher than ever before. This may also be true for confirmation and validation of already existing data, which is a prerequisite for implementation of TAA biomarkers into clinical diagnostics. This article is part of a Special Issue entitled: Integrated omics.
Article
Hsp27, αB-crystallin and HSP22 are ubiquitous small heat shock proteins (sHsp) whose expression is induced in response to a wide variety of unfavorable physiological and environmental conditions. These sHsp protect cells from otherwise lethal conditions mainly by their involvement in cell death pathways such as necrosis, apoptosis or autophagy. At a molecular level, the mechanisms accounting for sHsp functions in cell death are (1) prevention of denatured proteins aggregation, (2) regulation of caspase activity, (3) regulation of the intracellular redox state, (4) function in actin polymerization and cytoskeleton integrity and (5) proteasome-mediated degradation of selected proteins. In cancer cells, these sHsp are often overexpressed and associated with increased tumorigenicity, cancer cells metastatic potential and resistance to chemotherapy. Altogether, these properties suggest that Hsp27, αB-crystallin and Hsp22 are appropriate targets for modulating cell death pathways. In the present, we briefly review recent reports showing molecular evidence of cell death regulation by these sHsp and co-chaperones. This article is part of a Directed Issue entitled: Small HSPs in physiology and pathology.
Article
Introduction Unknown origins of autoantibody production in cancer The use of proteomics to identify autoantibodies Clinical utility of autoantibody signatures for early detection of cancer Autoantibody detection to build screening tests in high‐risk populations Conclusion and perspectives Becoming invasive is a crucial step in cancer development, and the early spread of tumour cells is usually undetected by current imaging technologies. In patients with cancer and no signs of overt metastases, sensitive methods have been developed to identify circulating autoantibodies and their antigen counterparts in several cancers. These technologies are often based on proteomic approaches, and recent advances in protein and antibody microarrays have greatly facilitated the discovery of new antibody biomarkers in sera from cancer patients. Interestingly, in a clinical application setting, combinations of multiple autoantibody reactivities into panel assays have recently been proposed as relevant screening tests and validated in several independent trials. In addition, autoantibody signatures seem to be particularly relevant for early detection of cancer in high‐risk cancer patients. In this review, we highlight the concept that immunogenic epitopes associated with the humoural response and key pathogenic pathways elicit serum autoantibodies that can be considered as relevant cancer biomarkers. We outline the proteomic strategies employed to identify and validate their use in clinical practice for cancer screening and diagnosis. We particularly emphasize the clinical utility of autoantibody signatures in several cancers. Finally, we discuss the challenges remaining for clinical validation.
Article
Many studies have examined DNA copy number changes or gene expression profiling and their association with clinical outcomes in breast cancer. However, until now no study has investigated whether acquired uniparental disomy (aUPD), in which both chromosomes in a pair are derived from the same parent, may have an association with clinical outcome including initiation and recurrence of breast cancer. In this study, we used high-density SNP and expression microarrays data from primary tumors of 313 lymph node-negative breast cancer patients who had not received adjuvant systemic therapy to evaluate the association of aUPD with metastasis-free survival (MFS) and overall survival (OS). In 55.9% (175/313) of the tumors, we defined aUPD, which was most frequent in the regions at chr17q (30.3%) and chr13q (19.4%). In Cox univariate regression analysis including all patients, aUPD at four regions at chr17q, ranging in size from 2.9 to 4.0 Mb, were associated with a poor OS. Only aUPD at one region, region B, on chr17q was associated with a poor MFS. Similarly, aUPD at two regions, A and B, on chr13q, with sizes of 3.5 and 3.1 Mb, were associated with a poor OS, but not with MFS. In ER-subgroup analyses, regions B and D at 17q were associated with poor MFS and OS in ER-negative patients. Various differentially expressed genes within the identified aUPD regions at chr17q were associated with MFS and OS in all patients (PPM1D, C17orf71, and TRIM37) and/or in the ER-negative patients (PPM1D, PPM1E, and SLCA3R1). We thus conclude that aUPD is a frequent event in breast cancer and that aUPD at specific regions in the genome has implications in this disease.
Article
Sensitive techniques have recently been developed to identify tumoral antigens and to detect tumor-related autoantibodies in the peripheral blood of patients with cancer. Studies of these new methods indicate that the detection of a combination of autoantibodies could be a relevant prescreening strategy for the early detection of lung cancer in patients at high risk. Nevertheless, the clinical utility of autoantibodies for determining prognosis and monitoring response to systemic therapies in lung cancer is less conclusive. This article summarizes the clinical background and the technical aspects of current methods used for the detection and characterization of autoantibodies in blood, with a special focus on the implications of these methods for the clinical management of patients with lung cancer.
Article
Cancer/Testis (CT) antigens are considered promising target molecules for immunotherapy. To identify potential CT antigens, we performed immunoscreening of a testis cDNA library with sera from colon cancer patients by SEREX. We isolated 114 positive cDNA clones comprising 90 different antigens, designated BCP-1 through BCP-90. Quantitative real-time and conventional RT-PCR analysis showed that BCP-20, -33, and -41 antigens were expressed strongly only in a normal testis and detected in 22 cases (39%), 12 cases (21%), and 17 cases (30%), respectively, from 57 colon tumors. BCP-20 was also detected in various cancer cell lines including breast, colon, hepatoma, renal, thyroid anaplastic, ovary, sarcoma, and lung. By ELISA analysis, anti-BCP-20 antibody was detected in 3 of 50 colon cancer and 1 of 24 gastric cancer patients while healthy donors were three positive (3/50). But the BCP-20 antibody levels of patients with colon cancer showed significantly higher titers than those of healthy donors. These data suggest that the BCP-20 gene is a new CT antigen and may be useful for diagnosis and immunotherapy.
Article
Nuclear factor-kappaB (NF-kappaB) consists of a family of transcription factors that play critical roles in inflammation, immunity, cell proliferation, differentiation, and survival. Inducible NF-kappaB activation depends on phosphorylation-induced proteosomal degradation of the inhibitor of NF-kappaB proteins (IkappaBs), which retain inactive NF-kappaB dimers in the cytosol in unstimulated cells. The majority of the diverse signaling pathways that lead to NF-kappaB activation converge on the IkappaB kinase (IKK) complex, which is responsible for IkappaB phosphorylation and is essential for signal transduction to NF-kappaB. Additional regulation of NF-kappaB activity is achieved through various post-translational modifications of the core components of the NF-kappaB signaling pathways. In addition to cytosolic modifications of IKK and IkappaB proteins, as well as other pathway-specific mediators, the transcription factors are themselves extensively modified. Tremendous progress has been made over the last two decades in unraveling the elaborate regulatory networks that control the NF-kappaB response. This has made the NF-kappaB pathway a paradigm for understanding general principles of signal transduction and gene regulation.
Article
To identify biomarkers for diagnosis and prognosis of hepatocellular carcinoma (HCC). Screening the HCC cDNA library with HCC patients sera. Isolated proteins were used as antigens to detect antibodies from patients with HCC and control sera. Eighty-one positive clones were identified. The frequencies of autoantibody against five HCC-associated antigens were higher in HCC than that in chronic hepatitis and normal human sera. The sensitivity and specificity of KRT23, AHSG and FTL antigens combination tests up to 98.2% in joint test and 90.0% in series test separately. HCC associate antigens identified from this study supply candidate markers of diagnosis, combined detection and immunotherapy of HCC.
Article
The nuclear translocation of NF-kappa B follows the degradation of its inhibitor, I kappa B alpha, an event coupled with stimulation-dependent inhibitor phosphorylation. Prevention of the stimulation-dependent phosphorylation of I kappa B alpha, either by treating cells with various reagents or by mutagenesis of certain putative I kappa B alpha phosphorylation sites, abolishes the inducible degradation of I kappa B alpha. Yet, the mechanism coupling the stimulation-induced phosphorylation with the degradation has not been resolved. Recent reports suggest a role for the proteasome in I kappa B alpha degradation, but the mode of substrate recognition and the involvement of ubiquitin conjugation as a targeting signal have not been addressed. We show that of the two forms of I kappa B alpha recovered from stimulated cells in a complex with RelA and p50, only the newly phosphorylated form, pI kappa B alpha, is a substrate for an in vitro reconstituted ubiquitin-proteasome system. Proteolysis requires ATP, ubiquitin, a specific ubiquitin-conjugating enzyme, and other ubiquitin-proteasome components. In vivo, inducible I kappa B alpha degradation requires a functional ubiquitin-activating enzyme and is associated with the appearance of high molecular weight adducts of I kappa B alpha. Ubiquitin-mediated protein degradation may, therefore, constitute an integral step of a signal transduction process.
Article
Heat shock protein 90 (Hsp90) is a molecular chaperone required for the stability and function of a number of conditionally activated and/or expressed signaling proteins, as well as multiple mutated, chimeric, or overexpressed signaling proteins, which promote cancer cell growth or survival or both. Hsp90 inhibitors, by interacting specifically with a single molecular target, cause the inactivation, destabilization, and eventual degradation of Hsp90 client proteins, and they have shown promising antitumor activity in preclinical model systems. One Hsp90 inhibitor, 17-AAG, has completed Phase I clinical trial, and several Phase II trials are in progress. Hsp90 inhibitors are unique in that, although they are directed towards a specific molecular target, they simultaneously inhibit multiple signaling pathways that frequently interact to promote cancer cell survival. Recently identified clients of Hsp90 participate, frequently in overlapping pathways, in mediating cancer cell survival. These include Akt, Her2, and HIF-1 alpha. Thus, by inhibiting multiple survival pathways used by cancer cells, combination of an Hsp90 inhibitor with standard chemotherapeutic agents may dramatically increase the in vivo efficacy of the standard agent. Furthermore, Hsp90 modulates androgen receptor activity and the activity of several mutated kinases characteristic of several leukemias and lymphomas, making Hsp90 inhibition an attractive modality in these cases. Hsp90 inhibitors may circumvent the characteristic genetic plasticity that has allowed cancer cells to eventually evade the toxic effects of most molecularly targeted agents. The mechanism-based use of Hsp90 inhibitors, both alone and in combination with other drugs, should augment the treatment of multiple forms of cancer.
Article
The heat shock proteins (HSPs) induced by cell stress are expressed at high levels in a wide range of tumors and are closely associated with a poor prognosis and resistance to therapy. The increased transcription of HSPs in tumor cells is due to loss of p53 function and to higher expression of the proto-oncogenes HER2 and c-Myc, and is crucial to tumorigenesis. The HSP family members play overlapping, essential roles in tumor growth both by promoting autonomous cell proliferation and by inhibiting death pathways. The HSPs have thus become targets for rational anti-cancer drug design: HSP90 inhibitors are currently showing much promise in clinical trials, whereas the increased expression of HSPs in tumors is forming the basis of chaperone-based immunotherapy.
Serum autoantibodies as biomarkers for early cancer detection
  • Tan
Signaling via the NFkappaB system
  • S Mitchell
  • J Vargas
  • A Hoffmann
Mitchell, S., Vargas, J., Hoffmann, A., 2016. Signaling via the NFkappaB system. Wiley Interdiscip. Rev. Syst. Biol. Med. 8, 227-241.
Serum autoantibodies as biomarkers for early cancer detection
  • H T Tan
  • J Low
  • S G Lim
  • M C Chung
Tan, H.T., Low, J., Lim, S.G., Chung, M.C., 2009. Serum autoantibodies as biomarkers for early cancer detection. FEBS J. 276, 6880-6904.