Ai-Min Jiang’s research while affiliated with First Affiliated Hospital of China Medical University and other places

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Publications (7)


Figure 8 GSEA for samples with high SPP1 expression and low expression. (A) The enriched gene sets in KEGG of high-expressed SPP1; (B) The enriched gene sets in KEGG of low-expressed SPP1; (C) The enriched gene sets in HALLMARK collection of high-expressed SPP1; (D) The enriched gene sets in HALLMARK collection of low-expressed SPP1. GSEA: Gene Set Enrichment Analysis.
Clinicopathological parameters of the enrolled studies with high-expressed SPP1 in tumor patients.
SPP1 Might Be a Novel Prognostic Biomarker for Patients With Malignancy: a Meta-analysis and Sequential Verification Based on Bioinformatic Analysis
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December 2020

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28 Reads

Hao-ran Zheng

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Ai-Min Jiang

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Na Liu

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[...]

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Yu Yao

Background: Several studies have investigated the relationship between secreted phosphoprotein 1 (SPP1) expression level and prognosis of various tumors, but the results are far from conclusive. Therefore, we performed the present meta-analysis to investigate the prognostic value of SPP1 in pan-cancer. Furthermore, a followed confirmation based on The Cancer Genome Atlas (TCGA) database was also performed to verify our results. Methods: We performed a systematic search from PubMed, Embase, Web of Science, and Cochrane Library databases and 19 articles, including 3403 patients and 9 types of tumors, were pooled in our meta-analysis. Overall survival (OS) and disease-free survival (DFS), which correlated with SPP1 expression, were considered as the primary outcome. Subgroup analyses, sensitivity analysis, and publication bias were used to investigate heterogeneity and reliability of the results. Furthermore, we also explored the relationship between SPP1 expression and clinical parameters of tumor patients. Finally, the results were verified with TCGA database and we further explored the relationship between SPP1 expression and tumor immuno-microenvironment (TIME), DNA methylation, and enriched gene pathway. Results: Our meta-analysis showed that high-expressed SPP1 was significantly related to poor OS and DFS in various cancers, especially in liver hepatocellular carcinoma (LIHC). Furthermore, we also identified that the high expression level of SPP1 was significantly correlated with tumor grade. The expression level of SPP1 in the majority of tumor types were much higher than the corresponding normal tissues analyzed from databases. Besides, we also observed that high-expressed SPP1 was related to poor OS and DFS in LIHC, which supported the conclusion of meta-analysis. In addition, high-expressed SPP1 is related to 6 immune cells in TIME and DNA methylation regulatory genes. Ultimately, the results of Gene Set Enrichment Analysis (GSEA) suggested that tumor-related gene sets, such as hypoxia and lipid metabolism, were significantly enriched in high-expressed SPP1 group. Conclusions: SPP1 is high-expressed in various tumor tissues and correlated with poor prognosis. SPP1 might promote cancer invasion and metastasis by affecting tumor grade, TIME, DNA methylation, hypoxia, and lipid metabolism. SPP1 is expected to become a new clinical indicator for tumor detection and prognosis, and provide a new idea for tumor targeted therapy.

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Clinicopathological parameters of the enrolled studies with high-expressed SPP1 in tumor patients.
SPP1 Might Be A Novel Prognostic Biomarker For Patients With Malignancy: A Meta-Analysis And Sequential Verification Based on Bioinformatic Analysis

December 2020

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28 Reads

Background: Several studies have investigated the relationship between secreted phosphoprotein 1 (SPP1) expression level and prognosis of various tumors, but the results are far from conclusive. Therefore, we performed the present meta-analysis to investigate the prognostic value of SPP1 in pan-cancer. Furthermore, a followed confirmation based on The Cancer Genome Atlas (TCGA) database was also performed to verify our results. Methods: We performed a systematic search from PubMed, Embase, Web of Science, and Cochrane Library databases and 19 articles, including 3403 patients and 9 types of tumors, were pooled in our meta-analysis. Overall survival (OS) and disease-free survival (DFS), which correlated with SPP1 expression, were considered as the primary outcome. Subgroup analyses, sensitivity analysis, and publication bias were used to investigate heterogeneity and reliability of the results. Furthermore, we also explored the relationship between SPP1 expression and clinical parameters of tumor patients. Finally, the results were verified with TCGA database and we further explored the relationship between SPP1 expression and tumor immuno-microenvironment (TIME), DNA methylation, and enriched gene pathway. Results: Our meta-analysis showed that high-expressed SPP1 was significantly related to poor OS and DFS in various cancers, especially in liver hepatocellular carcinoma (LIHC). Furthermore, we also identified that the high expression level of SPP1 was significantly correlated with tumor grade. The expression level of SPP1 in the majority of tumor types were much higher than the corresponding normal tissues analyzed from databases. Besides, we also observed that high-expressed SPP1 was related to poor OS and DFS in LIHC, which supported the conclusion of meta-analysis. In addition, high-expressed SPP1 is related to 6 immune cells in TIME and DNA methylation regulatory genes. Ultimately, the results of Gene Set Enrichment Analysis (GSEA) suggested that tumor-related gene sets, such as hypoxia and lipid metabolism, were significantly enriched in high-expressed SPP1 group. Conclusions: SPP1 is high-expressed in various tumor tissues and correlated with poor prognosis. SPP1 might promote cancer invasion and metastasis by affecting tumor grade, TIME, DNA methylation, hypoxia, and lipid metabolism. SPP1 is expected to become a new clinical indicator for tumor detection and prognosis, and provide a new idea for tumor targeted therapy.


Figure 2 Distribution in the etiology of nosocomial infections in cancer patients caused by MDR bacteria from August 2013 to May 2019. (a) The annual distribution. (b) The seasonal distribution. Only partial data were collected for 2013 and 2019.
Figure 3 Antimicrobial susceptibility patterns of nosocomial infections caused by MDR bacteria in cancer patients. (a) The isolated MDRGNB. (b) The isolated MRSA. TGC Tigecycline, LVX Levofloxacin, CIP Ciprofloxacin, CRO Ceftriaxone, CAZ Ceftazidime, FEP Cefepime, MEM Meropenem, IMP Imipenem, ATM Aztreonam, TZP Piperacillin/tazobactam, GEN Gentamicin, AMK Amikacin, PEN Penicillin, CLI Clindamycin, MFX Moxifloxacin, TEC Teicoplanin, VAN Vancomycin, LNZ Linezolid, MNO Minocycline, TCY Tetracycline.
Nosocomial Infections Due to Multidrug-Resistant Bacteria in Cancer Patients: A Six-Year Experience of an Oncology Center of Western China

March 2020

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31 Reads

Background: Bacterial infections are the most frequent complications in patients with malignancy, and the epidemiology of nosocomial infections among cancer patients has changed over time. This study aimed to evaluate characteristics, antibiotic-resistant patterns, and prognosis of nosocomial infections caused by multidrug-resistant (MDR) bacteria in cancer patients. Methods: This retrospective observational study analyzed cancer patients with MDR bacteria caused nosocomial infections from August 2013 to May 2019. The extracted clinical data were recorded in a standardized form and compared based on the patient’s survival status after infection during hospitalization. Data were analyzed by using independent samples t-test, Chi-square test, and binary logistic regression. P -values < 0.05 were considered statistically significant. Results: Overall, 257 cancer patients developed nosocomial infections caused by MDR bacteria. Extended-spectrum β-lactamase producing Enterobacteriaceae (ESBL-PE) was the most frequently isolated multidrug-resistant Gram-negative bacteria (MDRGNB), followed by Acinetobacter baumannii , and Stenotrophomonas maltophilia . Smoking history, cancer patients who received intrapleural/abdominal infusion within 30 days, presence of indwelling urinary catheter, length of hospitalization, and haemoglobin were independent factors for in-hospital mortality in the study population. The isolated MDR bacteria were mainly sensitive to amikacin, meropenem, imipenem, tigecycline, and piperacillin/tazobactam. Conclusions: Cancer patients with prolonged hospitalization was an independent predictor of a favorable outcome. However, former smokers, cancer patients who received intrapleural/abdominal infusion within 30 days, presence of indwelling urinary catheter, and anemia were independent risk factors of in-hospital mortality. Our findings suggest that clinicians should think highly of nosocomial infections caused by MDR in cancer patients and advise policymakers to develop a guideline.


Figure 2
Subgroup analysis for meta-analysis of mortality.
Clinical outcomes and prognostic factors in bloodstream infections due to extended-spectrum β-lactamase-producing Enterobacteriaceae among patients with malignancy: a meta-analysis

February 2020

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25 Reads

Background The colonization of Extended-spectrum β-lactamase-producing Enterobacteriaceae (ESBL-PE) in bloodstream infections (BSIs) has been increased dramatically worldwide, and it was associated with worse clinical outcomes in patients with malignancy. We performed the meta-analysis to investigate the prognosis and risk factors in BSIs caused by ESBL-PE in oncological patients. Methods PubMed and EMBASE were searched for related studies. All-cause mortality was considered as the primary outcome. Subgroup analyses, meta-regression analyses, and sensitivity analysis were used to investigate heterogeneity and reliability in results. Results 6729 patients from 25 studies were eligible. Six studies enrolled oncological patients with BSIs caused by ESBL-PE only, while 19 studies both enrolled ESBL-PE and non-ESBL-PE infections. The results showed that BSIs caused by ESBL-PE in patients with malignancy was associated with higher mortality than non-ESBL-PE infections (RR = 2.21, 95% CI: 1.60–3.06, P < 0.001), with a significant between-study heterogeneity (I2 = 78.3%, P < 0.001). Subgroup analyses showed that children (RR = 2.80, 95% CI: 2.29–3.43, P < 0.001) and hematological malignancy (RR =3.20, 95% CI: 2.54–4.03, P < 0.001) were associated with a higher mortality. Severe sepsis/ septic shock, pneumonia, and ICU admission were the most common predictors of mortality. Conclusions Our study identified that BSIs caused by ESBL-PE in patients with malignancy was associated with worse clinical outcomes compared with non-ESBL-PE infections. Furthermore, children and hematological malignancy were associated with higher mortality. Severe sepsis/ septic shock, pneumonia, and ICU admission were the most common predictors of mortality.


Clinical outcomes and prognostic factors in bloodstream infections due to extended-spectrum β-lactamase-producing Enterobacteriaceae among patients with malignancy: a meta-analysis

February 2020

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26 Reads

Background: The colonization of Extended-spectrum β-lactamase-producing Enterobacteriaceae (ESBL-PE) in bloodstream infections (BSIs) has been increased dramatically worldwide, and it was associated with worse clinical outcomes in patients with malignancy. We performed the meta-analysis to investigate the prognosis and risk factors in BSIs caused by ESBL-PE in oncological patients. Methods: PubMed, EMBASE, and Cochrane Library were searched for related studies. All-cause mortality was considered as the primary outcome. Subgroup analyses, meta-regression analyses, and sensitivity analysis were used to investigate heterogeneity and reliability in results. Results: 6,729 patients from 25 studies were eligible. Six studies enrolled oncological patients with BSIs caused by ESBL-PE only, while 19 studies both enrolled ESBL-PE and non-ESBL-PE infections. The results showed that BSIs caused by ESBL-PE in patients with malignancy was associated with higher mortality than non-ESBL-PE infections (RR = 2.21, 95 % CI: 1.60–3.06, P < 0.001), with a significant between-study heterogeneity (I2 = 78.3%, P < 0.001). Subgroup analyses showed that children (RR = 2.80, 95 % CI: 2.29–3.43, P < 0.001) and hematological malignancy (RR =3.20, 95 % CI: 2.54–4.03, P < 0.001) were associated with a higher mortality. Severe sepsis/ septic shock, pneumonia, and ICU admission were the most common predictors of mortality. Conclusions: Our study identified that BSIs caused by ESBL-PE in patients with malignancy were associated with worse clinical outcomes compared with non-ESBL-PE infections. Furthermore, children and hematological malignancy were associated with higher mortality. Severe sepsis/ septic shock, pneumonia, and ICU admission were the most common predictors of mortality.


Figure 2 Trend in the etiology of nosocomial infections in cancer patients caused by MDR bacteria treated at the First Affiliated Hospital of Xi'an Jiaotong University between August 2013 to May 2019. (a) The annual distribution of MDR bacteria caused nosocomial infections in cancer patients. (b) The seasonal distribution of MDR bacteria caused nosocomial infections in cancer patients.
Figure 3 Antimicrobial susceptibility comparison among cancer patients with nosocomial infections caused by MDR bacteria. (a) The isolated MDRGNB. (b) The isolated MRSA.
Figures
Nosocomial Infections Due to Multidrug-Resistant Bacteria in Cancer Patients: A Seven-Year Experience of an Oncology Center in Western China

February 2020

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56 Reads

Background: Bacterial infections are the most frequent complications in patients with malignancy, and the epidemiology of nosocomial infections among cancer patients has changed over time. This study aimed to evaluate characteristics, antibiotic-resistant patterns, and prognosis of nosocomial infections caused by multidrug-resistant bacteria (MDR) in cancer patients. Methods: This retrospectively analyzed cancer patients with MDR bacteria caused nosocomial infections from August 2013 to May 2019 and was conducted to explore the risk factors, clinical features, outcomes, and antibiotic-resistant patterns of these infections. Results: Overall, 257 cancer patients developed nosocomial infections caused by MDR bacteria. Extended-spectrum β-lactamase (ESBL)-producing Enterobacteriaceae was the most frequently isolated multidrug-resistant Gram-negative bacteria (MDRGNB), followed by ESBL-producing Klebsiella pneumonia, and Acinetobacter baumannii. Cancer patients with liver disease, received intrapleural/abdominal infusion within 30 days, length of hospitalization, hemoglobin, and albumin were independent factors for 30-day mortality in the study population. The isolated MDR bacteria were highly sensitive to amikacin, meropenem, imipenem, tigecycline, and piperacillin/tazobactam. Conclusions: Cancer patients with prolonged hospitalization was an independent predictor of a favorable outcome. However, cancer patients with liver disease, received intrapleural/abdominal infusion within 30 days, anemia, and hypoproteinemia were independent risk factors of 30-day mortality.


Figure 3 Kaplan-Meier 30-day survival estimates among cancer patients with nosocomial infections caused by ESBL-PE and non-ESBL-PE.
Clinical characteristics, antibiotic-resistant patterns and prognostic factors in cancer patients with nosocomial infections caused by extended-spectrum beta-lactamase-producing Escherichia coli: a retrospective study from 2013 to 2019

December 2019

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23 Reads

Background: Nosocomial infections due to Extended-spectrum β-lactamase-producing Enterobacteriaceae (ESBL-PE) is increasing worldwide. This study aimed to describe the clinical characteristics, antibiotic-resistant patterns, and prognostic factors associated with nosocomial infections caused by ESBL-PE in cancer patients. Methods: This retrospectively analyzed patients with nosocomial infections caused by E. coli from August 2013 to May 2019 and was conducted to investigate the risk factors, clinical features, outcomes, and antibiotic-resistant patterns of these infections. Results: Of the 1008 nosocomial infection episodes, 265 patients suffered from infections with E. coli, and 155 episodes were caused by ESBL-PE. A multivariate analysis showed that the length of antibiotics treatment more than 6.93 days was an independent risk factor for nosocomial infections in cancer patients caused by ESBL-PE. ECOG performance status score more than 2, presence of respiratory tract infection, septic shock, lymphocytopenia, and hypoproteinemia were independent risk factors for 30-day mortality in cancer patients caused by ESBL-PE. Antimicrobial susceptibility showed that the isolated ESBL-PE were highly resistant to aztreonam and third-generation cephalosporins. Conclusions: The length of antibiotics treatment more than 6.93 days increased the risk ratio for ESBL-PE caused nosocomial infections. However, there was no significant difference in the prognoses of patients with ESBL-PE and non-ESBL-PE caused nosocomial infections. ECOG performance status score more than 2, presence of respiratory tract infection, septic shock, lymphocytopenia, and hypoproteinemia were independent risk factors for 30-day mortality in cancer patients with nosocomial infections caused by E. coli. The isolated ESBL-PE were highly resistant to aztreonam and third-generation cephalosporins.