Weixue Xu's research while affiliated with ShenJing Hospital of China Medical University and other places

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Publications (11)


Effect of H/R on H9C2 cells. (a) qRT-PCR was used to detect the expression of IL-1β. (b) qRT-PCR was used to detect the expression of IL-6. (c) qRT-PCR was used to detect the expression of TNF-α. (d) WB was used to detect the expression of IL-1β, IL-6, and TNF-α. (e) ELISA was used to detect the content of IL-1β. (f) ELISA was used to detect the content of IL-6. (g) ELISA was used to detect the content of TNF-α. (h) ELISA was used to detect the content of MDA. (i) ELISA was used to detect the activity of SOD. (j) qRT-PCR was used to detect the expression of HOTAIR. (k) qRT-PCR was used to detect the expression of miR-138. (l) Immunofluorescence staining was used to detect the expression of SOD1 (magnification: 400x). (“∗” indicates statistical difference from the control group, P<0.05).
Effect of H/R on H9C2 cells. (a) qRT-PCR was used to detect the expression of IL-1β. (b) qRT-PCR was used to detect the expression of IL-6. (c) qRT-PCR was used to detect the expression of TNF-α. (d) WB was used to detect the expression of IL-1β, IL-6, and TNF-α. (e) ELISA was used to detect the content of IL-1β. (f) ELISA was used to detect the content of IL-6. (g) ELISA was used to detect the content of TNF-α. (h) ELISA was used to detect the content of MDA. (i) ELISA was used to detect the activity of SOD. (j) qRT-PCR was used to detect the expression of HOTAIR. (k) qRT-PCR was used to detect the expression of miR-138. (l) Immunofluorescence staining was used to detect the expression of SOD1 (magnification: 400x). (“∗” indicates statistical difference from the control group, P<0.05).
Effect of H/R on H9C2 cells. (a) qRT-PCR was used to detect the expression of IL-1β. (b) qRT-PCR was used to detect the expression of IL-6. (c) qRT-PCR was used to detect the expression of TNF-α. (d) WB was used to detect the expression of IL-1β, IL-6, and TNF-α. (e) ELISA was used to detect the content of IL-1β. (f) ELISA was used to detect the content of IL-6. (g) ELISA was used to detect the content of TNF-α. (h) ELISA was used to detect the content of MDA. (i) ELISA was used to detect the activity of SOD. (j) qRT-PCR was used to detect the expression of HOTAIR. (k) qRT-PCR was used to detect the expression of miR-138. (l) Immunofluorescence staining was used to detect the expression of SOD1 (magnification: 400x). (“∗” indicates statistical difference from the control group, P<0.05).
Effect of H/R on H9C2 cells. (a) qRT-PCR was used to detect the expression of IL-1β. (b) qRT-PCR was used to detect the expression of IL-6. (c) qRT-PCR was used to detect the expression of TNF-α. (d) WB was used to detect the expression of IL-1β, IL-6, and TNF-α. (e) ELISA was used to detect the content of IL-1β. (f) ELISA was used to detect the content of IL-6. (g) ELISA was used to detect the content of TNF-α. (h) ELISA was used to detect the content of MDA. (i) ELISA was used to detect the activity of SOD. (j) qRT-PCR was used to detect the expression of HOTAIR. (k) qRT-PCR was used to detect the expression of miR-138. (l) Immunofluorescence staining was used to detect the expression of SOD1 (magnification: 400x). (“∗” indicates statistical difference from the control group, P<0.05).
Effect of H/R on H9C2 cells. (a) qRT-PCR was used to detect the expression of IL-1β. (b) qRT-PCR was used to detect the expression of IL-6. (c) qRT-PCR was used to detect the expression of TNF-α. (d) WB was used to detect the expression of IL-1β, IL-6, and TNF-α. (e) ELISA was used to detect the content of IL-1β. (f) ELISA was used to detect the content of IL-6. (g) ELISA was used to detect the content of TNF-α. (h) ELISA was used to detect the content of MDA. (i) ELISA was used to detect the activity of SOD. (j) qRT-PCR was used to detect the expression of HOTAIR. (k) qRT-PCR was used to detect the expression of miR-138. (l) Immunofluorescence staining was used to detect the expression of SOD1 (magnification: 400x). (“∗” indicates statistical difference from the control group, P<0.05).

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Effects of Long Noncoding RNA HOTAIR Targeting miR-138 on Inflammatory Response and Oxidative Stress in Rat Cardiomyocytes Induced by Hypoxia and Reoxygenation
  • Article
  • Full-text available

December 2021

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16 Reads

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4 Citations

Disease Markers

Guofeng Wang

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Qi Wang

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Weixue Xu

Objective: To investigate the effects of HOX transcript antisense RNA (HOTAIR) and miR-138 on inflammatory response and oxidative stress (OS) induced by IRI in rat cardiomyocytes. Methods: H9C2 cells were divided into the control group, H/R group, H/R+siRNA NC group, H/R+si-HOTAIR group, and H/R+si-HOTAIR+inhibitor group. Expression levels of HOTAIR, miR-138, and inflammatory factors were detected by quantitative reverse-transcription polymerase chain reaction (qRT-PCR). The double luciferase reporter gene assay was used to detect the targeting relationship between HOTAIR and miR-138. Results: Compared with the control group, the level of miR-138 and SOD in the H/R group was obviously reduced, while the expression levels of the HOTAIR, MDA, and NF-κB pathway were obviously increased. Compared with the H/R group, the level of miR-138 and SOD in the H/R+si-HOTAIR group was obviously increased, and the expression levels of the HOTAIR, MDA, and NF-κB pathway were obviously decreased. Compared with the H/R+si-HOTAIR group, the level of SOD in the H/R+si-HOTAIR+inhibitor group decreased; MDA content and the NF-κB pathway expression level increased. In the double luciferase reporter gene assay, compared with the HOTAIR wt+NC group, the luciferase activity of the HOTAIR wt+miR-138 mimic group was obviously decreased. Conclusions: Silent HOTAIR can promote the expression of miR-138 and inhibit H/R-induced inflammatory response and OS by regulating the NF-κB pathway, thus protecting cardiomyocytes.

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LncRNA MIR99AHG mediated by FOXA1 modulates NOTCH2/Notch signaling pathway to accelerate pancreatic cancer through sponging miR-3129-5p and recruiting ELAVL1

December 2021

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24 Reads

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16 Citations

Cancer Cell International

Jin Xu

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Weixue Xu

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Xuan Yang

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[...]

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Qinyun Sun

Background Pancreatic cancer (PCa) is a fatal malignancy with poor prognosis, high recurrence and mortality. Substantial reports have suggested long non-coding RNAs (lncRNAs) are implicated in development of numerous malignant tumors, and PCa is included. However, the correlation between novel lncRNA mir-99a-let-7c cluster host gene (MIR99AHG) and PCa remains elusive and needs to be deeply investigated. Methods In this study, we firstly used RT-qPCR to examine MIR99AHG expression. Functional assays were implemented for determination of the role of MIR99AHG in PCa cells. Mechanism experiments were designed and carried out for exploring the regulatory mechanism involving MIR99AHG. Results MIR99AHG was distinctly overexpressed in PCa cell lines. MIR99AHG deficiency abrogated PCa cell proliferation, migration and invasion. Moreover, MIR99AHG up-regulation was induced by transcription factor forkhead box A1 (FOXA1). Furthermore, MIR99AHG modulated notch receptor 2 (NOTCH2) expression and stimulated Notch signaling pathway through sequestering microRNA-3129-5p (miR-3129-5p) and recruiting ELAV like RNA binding protein 1 (ELAVL1). Conclusions Altogether, the exploration of FOXA1/MIR99AHG/miR-3129-5p/ELAVL1/NOTCH2 axis in the progression of PCa might provide a meaningful revelation for PCa diagnosis and treatment.


Pancreatic Cancer Progression Is Regulated by IPO7/p53/LncRNA MALAT1/MiR-129-5p Positive Feedback Loop

October 2021

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28 Reads

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14 Citations

Frontiers in Cell and Developmental Biology

Background: Pancreatic cancer is a malignancy with poor prognosis. Importin 7 (IPO7) is a soluble nuclear transport factor, which has been linked to the pathogenesis of several human diseases. However, its role and underlying mechanism in pancreatic cancer are still obscure. Methods: Immunohistochemical staining and quantitative real-time polymerase chain reaction (qPCR) were performed to determine IPO7 expression in pancreatic cancer tissues and adjacent tissues. Western blot was used to measure IPO7 expression at the protein level in cell lines. Cell Counting Kit-8 (CCK-8), 5-bromo-2′-deoxyuridine (BrdU), flow cytometry, and Transwell assays were employed to explore the biological functions of IPO7. Subcutaneous xenograft transplanted tumor model and caudal vein injection model in mice were also established to validate the oncogenic role of IPO7. Western blot and qPCR were utilized to detect the regulatory function of IPO7 on p53 and metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), respectively. Interaction between MALAT1 and miR-129-5p and interaction between miR-129-5p and IPO7 were verified by bioinformatics prediction, qPCR, dual-luciferase reporter gene experiment, RNA immunoprecipitation (RIP), and pull-down assay. Results: Upregulation of IPO7 in pancreatic cancer tissues was associated with adverse prognosis of the patients with pancreatic cancer. Knocking down IPO7 remarkably suppressed cancer cell proliferation and metastasis, while it promoted apoptosis. Overexpression of IPO7 facilitated the malignant phenotypes of pancreatic cancer cells. Mechanistically, IPO7 could repress the expression of p53 and induce the expression of MALAT1 but reduce miR-129-5p expression. Furthermore, miR-129-5p was identified as a posttranscriptional regulator for IPO7, and its inhibition led to IPO7 overexpression in pancreatic cancer cells. Conclusion: IPO7 is a novel oncogene for pancreatic cancer, and IPO7/p53/MALAT1/miR-129-5p positive feedback loop facilitates the progression of this deadly disease.


Figure 2. HCG11 depletion suppressed proliferation, cycle, colony formation, mobility of PANC-1 and AsPC-1 cells but promoted their apoptosis. (A, B) CCK-8 assay was used to examine the viability of PANC-1 and AsPC-1 cells after transfected with si-HCG11. (C, D) After transfection with si-HCG11, flow cytometry assay was performed to detect the cell cycle of PANC-1 and AsPC-1 cells. (E) Plate clone formation assay was conducted to measure the number of cell clones in PANC-1 and AsPC-1 cells. (F) After knockdown of HCG11, flow cytometry assay was applied to detect the apoptotic rates in PANC-1 and AsPC-1 cells. (G) Transwell assay was used to determine the invaded number of PANC-1 and AsPC-1 cells after knockdown of HCG11. * p<0.05, ** p<0.01, *** p<0.0001 vs. siRNA NC.
LncRNA HCG11/miR-579-3p/MDM2 Axis Modulates Malignant Biological Properties in Pancreatic Carcinoma via Notch/hes1 Signaling Pathway

June 2021

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8 Reads

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17 Citations

Aging

Background: Increasing reports have revealed that dysregulated expression of long non-coding RNAs (lncRNAs) is involved in pancreatic carcinoma progression. This study intends to explore the function and molecular mechanism of lncRNA HLA complex group 11 (HCG11) in pancreatic carcinoma. Methods: The expression profiles of HCG11 in pancreatic carcinoma samples were detected by qPCR. Bioinformatics analysis was applied to detect the associations among HCG11/miR-579-3p/MDM2. The malignant properties of pancreatic carcinoma cells were measured by numerous biological assays. Xenograft model was exploited to detect the effect of HCG11 on tumor growth. Results: A significant increase of HCG11 was occurred in pancreatic carcinoma samples. Knockdown of HCG11 suppressed the progression of pancreatic carcinoma cells. Bioinformatics analysis revealed that HCG11 upregulated MDM2 expression by competitively targeting miR-579-3p. The rescue assays showed that miR-579-3p reversed cell behaviors caused by HCG11, and MDM2 reversed cell properties induced by miR-579-3p. The Notch1 intracellular domain (NICD) and Hes1 protein levels were increased by overexpression of HCG11/MDM2. The tumor growth was suppressed after depletion of HCG11, followed by suppressing Ki67, PCNA and Vimentin expression, increasing TUNEL-positive cells and E-cadherin expression. Conclusions: Our observations highlighted that HCG11 contributed to the progression of pancreatic carcinoma by promoting growth and aggressiveness, and inhibiting apoptosis via miR-579-3p/MDM2/Notch/Hes1 axis.


Elevated asymmetric dimethylarginine level as biomarkers of adverse outcomes in individuals undergoing coronary angiography/percutaneous coronary interventions: a systematic review and meta-analysis

May 2021

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2 Reads

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1 Citation

Coronary Artery Disease

Background: No previous systematic review and meta-analysis have comprehensively evaluated the association of asymmetric dimethylarginine (ADMA) level with adverse prognosis in individuals undergoing percutaneous coronary interventions (PCI)/coronary angiography (CAG). The aim of this systematic review and meta-analysis was to assess the predictive value of the elevated ADMA level in individuals undergoing CAG/PCI. Materials and methods: Two authors independently searched PubMed and Embase databases (up to 31 October 2020) for observational studies investigating the association between circulating ADMA level and adverse outcomes in individuals undergoing CAG/PCI. The predictive value of ADMA was expressed by pooling the multivariable-adjusted risk ratio with 95% confidence intervals (CI) for the highest versus lowest ADMA level. Results: A total of nine prospective studies with 6374 participants were identified. Compared with those with the lowest ADMA level, patients with the highest ADMA level conferred an increased risk of all-cause mortality (risk ratio, 2.11; 95% CI, 1.38-3.21), cardiovascular mortality (risk ratio, 2.95; 95% CI, 1.14-7.68), major adverse cardiovascular events (risk ratio, 2.10; 95% CI, 1.35-3.27) and restenosis (risk ratio, 4.57; 95% CI, 2.52-8.30), respectively. Conclusions: High level of ADMA level is possibly an independent predictor of mortality and cardiovascular events in individuals undergoing CAG/PCI. Detection of blood ADMA level before CAG/PCI may add valuable clinical prognosis information.


Expression Six1 in thyroid cancer tissues. (A) Negative/weak staining of Six1 in normal thyroid tissues. (B) Positive nuclear Six1 expression in a case of papillary thyroid cancer. (C) Positive nuclear Six1 staining in a case of follicular thyroid cancer. (D) Negative staining a case of follicular thyroid cancer. (E) TCGA data showed that Six1 mRNA was elevated in thyroid cancers compared with normal tissue (paired t test, p=0.0022). (F) TCGA data showed Six1 mRNA was higher in cancers with positive nodal metastasis (Mann–Whitney U-test, p=0.0192). Bar indicates 50uM.
Six1 regulates cell proliferation in thyroid cancer cells. (A) Six1 protein expression in a 3 cell lines. Western blot showed efficiencies of Six1 plasmid transfection and siRNA knockdown in TPC-1 and B-CPAP cell lines. (B) Realtime PCR showed that Six1 transfection and siRNA knockdown efficiency in both TPC-1 and B-CPAP cell lines. (C) CCK-8 assay showed that that Six1 depletion downregulated the proliferation rate while Six1 overexpression upregulated proliferation rate in both TPC-1 and B-CPAP cells. (D) Colony formation assay demonstrated that Six1 overexpression upregulated colony number while Six1 depletion downregulated colony number in both cell lines. *p<0.05.
Six1 regulates invasion and glucose uptake. (A) Matrigel invasion assay demonstrated that Six1 overexpression increased invading cell numbers, while Eya2 knockdown decreased invading cell numbers in both TPC-1 and B-CPAP cell lines. (B) Glucose take assay using 2-NBDG staining and flow cytometry demonstrated that Six1 overexpression enhanced glucose uptake in while siRNA knockdown inhibited glucose uptake in both TPC-1 and B-CPAP cell lines. *p<0.05.
Six1 regulates glucose metabolism and GLUT3, Snail, MMP2 expression. (A) Relative glucose consumption rate in thyroid cancer cells transfected with Six1 plasmid and siRNA. (B) Relative lactate production rate in thyroid cancer cells transfected with Six1 plasmid and siRNA. (C) Relative ATP production level in cells with Six1 plasmid and siRNA. (D) Protein levels of MMP2, Snail and GLUT3 in thyroid cancer cells transfected with the Six1 plasmid and siRNA. (E) The mRNA levels of MMP2, Snail and GLUT3 in thyroid cancer cells transfected with Six1 plasmid and siRNA. (F) Pearson’s correlation analysis showing positive associations between Six1 and MMP2, Snail and GLUT3 mRNA in 501 cases of thyroid cancer tissues (TCGA dataset). *p<0.05.
Association of SIX1 Expression with Clinicopathological Parameters in Patients with Thyroid Cancer
Six1 Overexpression Promotes Glucose Metabolism and Invasion Through Regulation of GLUT3, MMP2 and Snail in Thyroid Cancer Cells

May 2020

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16 Reads

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8 Citations

Introduction: Sineoculis homeobox homolog 1 (Six1) overexpression has been implicated in several human cancers. To date, its clinical significance and potential function in human thyroid cancer remain unclear. Methods: Immunohistochemistry was used to examine the protein expression of BCAT1 in 89 cases of thyroid cancer tissues. We overexpressed and knockdown Six1 in TPC-1 and B-CPAP thyroid cancer cell lines. Biological roles and potential mechanisms of Six1 were examined using CCK-8, colony formation assay, Matrigel invasion assay, Western blot, PCR, ATP assay, and 2-NBDG uptake assay. Results: We showed that Six1 protein was upregulated in thyroid cancers and was associated with tumor size and nodal metastasis. Analysis of TCGA dataset indicated that Six1 mRNA was higher in thyroid cancers compared with normal thyroid. CCK-8, colony formation and Matrigel invasion assays demonstrated that Six1 overexpression promoted proliferation, colony number and invasion while Six1 siRNA knockdown inhibited the growth rate, colony formation ability and invasive ability in both cell lines. Notably, Six1 upregulated glucose consumption, lactate production level and ATP level. 2-NBDG uptake analysis showed that Six1 overexpression upregulated glucose uptake while Six1 knockdown inhibited glucose uptake. Further analysis revealed that Six1 overexpression upregulated Snail, MMP2 and GLUT3 at both mRNA and protein levels. TCGA analysis demonstrated positive associations between Six1 and Snail, MMP2 and GLUT3 at the mRNA levels. Conclusion: Taken together, our data demonstrated that Six1 was upregulated in human thyroid cancers and promoted cell proliferation and invasion. Our data also revealed new roles of Six1 in thyroid cancer development by modulating glucose metabolism and invasion, possibly through regulation of Snail, MMP2 and GLUT3.


Novel somatic alterations underlie Chinese papillary thyroid carcinoma

January 2020

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36 Reads

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17 Citations

Cancer biomarkers: section A of Disease markers

To characterize the somatic alterations of papillary thyroid carcinomas (PTC) in Chinese patients, we performed the next-generation-sequencing (NGS) study of the tumor-normal pairs of DNA and RNA samples extracted from 16 Chinese PTC patients. The whole genome sequencing (WGS) and transcriptome sequencing (RNA-seq) were conducted for 6 patients who were either current or former smokers and the whole exome sequencing (WES) and RNA-seq were conducted for another 10 patients who were never smokers. The NGS data were analyzed to identify somatic alteration events that may underlie PTC in Chinese patients. We identified a number of PTC driver genes harboring somatic driver mutations with significant functional impact such as COL11A1, TP53, PLXNA4, UBA1, AHNAK, CSMD2 and TTLL5 etc. Significant driver pathways underlying PTC were found, namely, the metabolic pathway, the pathway in cancer, the olfactory transduction pathway and the calcium signaling pathway. In addition, this study revealed genes with significant somatic copy number aberrations and corresponding somatic gene expression changes in PTC tumors, the most promising ones being BRD9, TRIP13, FZD3, and TFDP1 etc. We also identified several structural variants of PTCs, especially the novel in-frame fusion proteins such as TRNAU1AP-RCC1, RAB3GAP1-R3HDM1, and ENAH-ZSWIM5. Our study provided a list of novel PTC candidate genes with somatic alterations that may function as biomarkers for PTC in Chinese patients. The follow-up mechanism studies may be conducted based on the findings from this study.


NR2F1-AS1 regulated miR-423-5p/SOX12 to promote proliferation and invasion of papillary thyroid carcinoma

November 2019

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17 Reads

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35 Citations

Journal of Cellular Biochemistry

Papillary thyroid carcinoma (PTC) is an aggressive histological subtype of thyroid carcinoma (THCA), whose occurrence rate is high. The participation of long noncoding RNAs in the pathologies of cancers has attracted significant attention during the past decades. The purpose of the current study is to investigate the role of NR2F1 antisense RNA 1 (NR2F1‐AS1) in PTC. The expression of NR2F1 in THCA samples was analyzed by bioinformatics tool gene expression profiling interactive analysis. Levels of NR2F1‐AS1, microRNA‐423‐5p (miR‐423‐5p), and SRY‐box 12 (SOX12) were evaluated by a quantitative reverse transcription‐polymerase chain reaction and Western blot. The impact of NR2F1‐AS1 on PTC cell proliferation and invasion was assessed by Cell Counting Kit‐8, EdU, and Transwell invasion assays. The interactions among NR2F1‐AS1, miR‐423‐5p, and SOX12 were determined by RNA immunoprecipitation and luciferase reporter assays. Consequently, we found that NR2F1‐AS1 and SOX12 levels were elevated in PTC, whereas miR‐423‐5p was downregulated in PTC cells. Functionally, NR2F1‐AS1 silence led to reduced proliferation and invasion of PTC cells. Mechanistically, NR2F1‐AS1 interacted with miR‐423‐5p to induce SOX12 expression in PTC cells. In conclusion, the present study firstly stated that NR2F1‐AS1 regulated miR‐423‐5p/SOX12 to promote proliferation and invasion of PTC, indicating NR2F1‐AS1 as a potential novel target for the molecular‐targeted therapy of PTC. 1. NR2F1 antisense RNA 1 (NR2F1‐AS1) was upregulated in papillary thyroid carcinoma (PTC), and that silence of NR2F1‐AS1 retarded proliferation and invasion of PTC in vitro. NR2F1 antisense RNA 1 (NR2F1‐AS1) was upregulated in papillary thyroid carcinoma (PTC), and that silence of NR2F1‐AS1 retarded proliferation and invasion of PTC in vitro. 2. NR2F1‐AS1 acted as a sponge of microRNA‐423‐5p in PTC cells. NR2F1‐AS1 acted as a sponge of microRNA‐423‐5p in PTC cells.


Next-generation sequencing identified somatic alterations that may underlie the etiology of Chinese papillary thyroid carcinoma

November 2019

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22 Reads

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11 Citations

European Journal of Cancer Prevention

To better understand the etiology of papillary thyroid carcinoma, we did next-generation sequencing for the exomes and transcriptomes of a Chinese cohort of 28 pairs of DNA and RNA samples extracted from papillary thyroid carcinoma tumors and adjacent normal thyroid samples. The Chinese papillary thyroid carcinoma tumors harbored somatic mutations in the known driver genes, such as KRAS, TP53, BRAF, ERBB2, and MET. In addition, we identified novel papillary thyroid carcinoma candidate genes that had not been well studied before. We also identified a gene mutation signature involving SPTA1, MAP2, SYNE1, and SLIT3 that is significantly associated with survival of papillary thyroid carcinoma patients. Transcriptome analysis using the initial papillary thyroid carcinoma tumor samples and a new Chinese papillary thyroid carcinoma dataset identified six commonly upregulated oncogenic pathways in both datasets including eukaryotic translation initiation factor 2, phosphatidylinositol-4,5-bisphosphate 3-kinase (PI3K)/serine/threonine kinase (AKT), Ephrin Receptor, Rho Family GTPase signaling, nuclear factor, erythroid 2 like 2 (NRF2)-mediated oxidative stress response, and remodeling of epithelial adherens junctions. Overall, we identified novel candidate genes and oncogenic pathways important to the etiology of papillary thyroid carcinoma in Chinese patients and found the association of a gene signature with the survival outcome of the thyroid cancer patients. These findings may help in moving toward the more comprehensive and effective personalized treatment of papillary thyroid carcinoma in Chinese.


Genome-wide association study using diversity outcross mice identified candidate genes of pancreatic cancer

December 2018

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14 Reads

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9 Citations

Genomics

To understand the genetic causes of pancreatic cancer (PC), we conducted a genome-wide association study (GWAS) using the diversity outbred (DO) mice population to identify susceptibility genes underlying 7,12-dimethylbenzanthraene (DMBA) induced PC. The phenotype studied was the percent PC lesion area in the DO mice population. We genotyped 7851 SNP markers specifically designed for DO mice across the whole mouse genome. Four susceptibility genes with P values exceeding the genome-wide threshold for percent PC lesion area (P < 2.37 × 10⁻⁶) were identified, i.e., Epha4, Gpc5, Kcnj6, Arid1b. The most significant SNP of Gpc5 (UNC140360310) that is associated with PC lesion area in mice also significantly influences the Gpc5 expression, suggesting that this Gpc5 SNP exerts its role in PC through cis-regulating the gene expression of Gpc5. Together, our data supported that Gpc5 as a tumor suppressor gene involved in the etiology of PC.


Citations (11)


... NF-κB activators and NF-κB-mediated genes have been determined to participate directly or indirectly in the pathogenesis of atherosclerosis (35). HOTAIR modulates the inflammatory response and oxidative stress in H9C2 cells by affecting the NF-κB pathway, thus protecting cardiomyocytes (36). As a similar regulatory mechanism, it was also reported that lncRNA HOXA cluster antisense RNA 2 (HOXA-AS2)-mediated endothelium protection is partly attributed to inhibition of the NF-κB pathway (37). ...

Reference:

Spotlight on HOX cluster‑embedded antisense lncRNAs in cardiovascular diseases (Review)
Effects of Long Noncoding RNA HOTAIR Targeting miR-138 on Inflammatory Response and Oxidative Stress in Rat Cardiomyocytes Induced by Hypoxia and Reoxygenation

Disease Markers

... The lncRNA that we identified, MIR99AHG, was identified as a long non-coding RNA located on chromosome 21q21.1. Some studies found that down-regulation of MIR99AHG was associated with lung adenocarcinoma, colorectal cancer, pancreatic cancer and breast cancer [22,[29][30][31][32]. Meng et al found that MIR99AHG functioned as a miRNA sponge and negatively targeted miR-577. ...

LncRNA MIR99AHG mediated by FOXA1 modulates NOTCH2/Notch signaling pathway to accelerate pancreatic cancer through sponging miR-3129-5p and recruiting ELAVL1

Cancer Cell International

... Importin 7 (IPO7), part of the karyopherin-β protein family, influences tumorigenesis and progression by facilitating the nuclear import of oncoproteins. Studies in cervical and pancreatic cancers indicate that elevated IPO7 expression correlates with poor prognosis and decreased CD8 T cell infiltration in cervical cancer and adverse outcomes in pancreatic cancer patients [50,51]. Elevated methionine adenosyltransferase II alpha (MAT2A) levels in monocytes/macrophages from various sources correlate with increased methionine cycle activity and maintenance of TAMs' immunosuppressive phenotype via the RIP1-H3K4 methylation axis [52]. ...

Pancreatic Cancer Progression Is Regulated by IPO7/p53/LncRNA MALAT1/MiR-129-5p Positive Feedback Loop

... MiR-579-3p has established a crucial role in various human diseases. For example, miR-579-3p dysregulation is tightly linked to pancreatic carcinoma progression [37]. Deregulation of miR-579-3p can affect hypoxia-induced endothelial cell damage and microglial M1 polarization [38]. ...

LncRNA HCG11/miR-579-3p/MDM2 Axis Modulates Malignant Biological Properties in Pancreatic Carcinoma via Notch/hes1 Signaling Pathway

Aging

... ADMA levels prior to cardiac catheterization may indicate a higher risk of contrast-induced acute kidney injury, with those having plasma ADMA levels >0.42μmol/L tending to have higher 1-year major adverse event than those with plasma ADMA levels ≤0.42μmol/l [44]. Therefore, we could assume that determination of ADMA levels prior to coronary angiography or percutaneous revascularization could provide important prognostic information, since a recent meta-analysis also highlighted ADMA as an independent predictor of mortality, major adverse cardiovascular events, and restenosis in such occasions [68]. ...

Elevated asymmetric dimethylarginine level as biomarkers of adverse outcomes in individuals undergoing coronary angiography/percutaneous coronary interventions: a systematic review and meta-analysis
  • Citing Article
  • May 2021

Coronary Artery Disease

... The transcription factor SIX1, a member of the SIX family, is closely associated with the progression of cancer and portends a poor prognosis in various malignancies [53]. SIX1 is also widely involved in tumor metabolism, chemotherapy resistance, and immune escape processes [54,55]. In addition, SIX1 is overexpressed in EC and linked to an unfavorable clinicopathological outcome [56], which is consistent with our findings. ...

Six1 Overexpression Promotes Glucose Metabolism and Invasion Through Regulation of GLUT3, MMP2 and Snail in Thyroid Cancer Cells

... As we mentioned earlier, CDKN3 has a bidirectional regulatory effect on the cell cycle, which may be the reason CDKN3 promotes and suppresses cancer, and it may also lead to its high or low expression in different types of tumors. TTLL5, WDR40, and WDR62 are driving genes of some tumors [118][119][120]. ...

Novel somatic alterations underlie Chinese papillary thyroid carcinoma
  • Citing Article
  • January 2020

Cancer biomarkers: section A of Disease markers

... As standard in our laboratory [93] and also adopted by several other laboratories (e.g., [95][96][97]), the surrounding normal tissue in the tumor is the best reference to understand the genomic changes in the cancer nodule(s). Moreover, the purpose of any anti-cancer therapy is not to transform the tumor into the abstract average healthy human, but to restore the normality of the current patient's tissue. ...

Next-generation sequencing identified somatic alterations that may underlie the etiology of Chinese papillary thyroid carcinoma
  • Citing Article
  • November 2019

European Journal of Cancer Prevention

... Several studies have provided scientific evidence linking specific genes to PTC development. For instance, Yan et al. demonstrated that ARHGAP36 promotes cell proliferation and migration in PTC (Yan et al. 2021), while Yang C et al. showed that NR2F1-AS1 modulates the miR-423-5p/SOX12 pathway to enhance PTC cell proliferation and invasion (Yang et al. 2020a). Additionally, Yang X et al. found that ZNF703 is highly expressed in PTC tissues and regulates K1 cell proliferation (Yang et al. 2020b). ...

NR2F1-AS1 regulated miR-423-5p/SOX12 to promote proliferation and invasion of papillary thyroid carcinoma
  • Citing Article
  • November 2019

Journal of Cellular Biochemistry