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Fang X, Liu K, Cai J, Luo F, Yuan F, Chen P. Positive Helicobacter pylori status is associated with better overall survival for gastric cancer patients: evidence from case-cohort studies. Oncotarget 2017; 8:79604-79617. [PMID: 29108340 PMCID: PMC5668073 DOI: 10.18632/oncotarget.18758] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Accepted: 05/15/2017] [Indexed: 12/12/2022] Open
Abstract
Helicobacter pylori (H. pylori) infection increases the gastric cancer risk; however, the influences of H. pylori infection status on the outcomes for gastric cancer patients have not yet clearly defined. Herein, we systematically assessed the epidemiological studies regarding the associations between the H.pylori infection status at diagnosis and the prognosis for gastric cancer patients with the meta-analysis methods. Thirty-three eligibility studies with 8,199 participants that had determined the H.pylori infection status and the outcomes for gastric cancer patients were identified through searching the PubMed and MEDLINE databases updated to March 1st, 2017. The random-effects model suggested that positive H. pylori infection was associated with better overall survival with the pooled hazard ratio (HR) was 0.79 [95% confidence interval (CI) = 0.66-0.93; Q = 134.86, df = 32, P-heterogeneity < 0.001; I2 = 76.3%] compared to negative patients. The association was found to be more prominent in studies with higher quality, longer following-up time and more sensitive detection methods. An inverse but not statistically significant association between the H.pylori status and the disease-free survival of the patients (pooled HR = 0.84, 95% CI = 0.61-1.05;Q = 30.48, df = 11, P-heterogeneity = 0.001; I2 = 63.9%) was found, while no significant association was noticed in any subgroup analyses. These results suggested that gastric cancer patients with positive H.pylori infection status at diagnosis have better overall survival compared to negative; however, more studies are warranted to confirm the results and elucidate the underlying mechanisms.
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Affiliation(s)
- Xuqian Fang
- Translational Medicine Research Center, Ruijin Hospital North, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China.,Department of Pathology, Ruijin Hospital North, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
| | - Kun Liu
- Department of Surgery, Ruijin Hospital North, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
| | - Jialin Cai
- Translational Medicine Research Center, Ruijin Hospital North, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
| | - Fangxiu Luo
- Department of Pathology, Ruijin Hospital North, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
| | - Fei Yuan
- Department of Pathology, Ruijin Hospital North, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
| | - Peizhan Chen
- Translational Medicine Research Center, Ruijin Hospital North, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
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Zhao W, Ding G, Wen J, Tang Q, Yong H, Zhu H, Zhang S, Qiu Z, Feng Z, Zhu J. Correlation between Trop2 and amphiregulin coexpression and overall survival in gastric cancer. Cancer Med 2017; 6:994-1001. [PMID: 28256068 PMCID: PMC5430091 DOI: 10.1002/cam4.1018] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Revised: 11/14/2016] [Accepted: 12/27/2016] [Indexed: 12/28/2022] Open
Abstract
Gastric cancer (GC) is a multistep and multistage disease and the majority of GC cells could overexpressed one or more oncogenes. Trop2 and amphiregulin (AREG) are both overexpressed in various epithelial cell cancers and have the role in the increases tumor cells division and metastasis. However, little is known about the function and correlation of two oncogenes coexpressed in GC. The expression level of these two genes in 791 cases of GC tissues were tested, the correlations between two genes expression and clinical pathological characteristics and overall survival in GC patients through immunohistochemistry (IHC) were analyzed. This study also explored the mRNA expression level of two genes in 26 cases of freshly GC tissues by qRT‐PCR. The results indicated that Trop2+/AREG+ coexpression was higher in GC tissues than in adjacent tissues. Trop2+/AREG+ protein coexpression were associated with Tumor Node Metastasis (TNM) stage (χ2 = 50.345, P < 0.001), tumor size (χ2 = 40.349, P < 0.001), lymph node metastases (χ2 = 26.481, P < 0.001), and distant metastases (χ2 = 8.387, P = 0.039). GC patients with Trop2+ and AREG+ protein coexpression had poor overall survival rates (HR = 3.682, 95% CI = 2.038–6.654, P < 0.001). The expression level of Trop2/AREG were positively correlated (r 0.254 and P < 0.001). The result of the mRNA expression was similar to that of the protein expression. Overall, Trop2 and AREG could be seen as prognostic cobiomarker in GC and combined detection of Trop2 and AREG could be viewed as helpful in predicting the prognosis of the GC patients.
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Affiliation(s)
- Wei Zhao
- Department of Pathology, Nanjing Medical University, Nanjing, 210029, China.,School of Public Health, Nantong University, Nantong, 226019, China
| | - Guipeng Ding
- Department of Pathology, Nanjing Medical University, Nanjing, 210029, China
| | - Jinbo Wen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 210029, China
| | - Qi Tang
- Key Laboratory of Antibody Technique of Ministry of Health, Nanjing Medical University, Nanjing, 210029, China
| | - Hongmei Yong
- Department of Oncology, Huai'an Hospital Affiliated of Xuzhou Medical College and Huai'an Second People's Hospital, Huai'an, 223001, China
| | - Huijun Zhu
- Department of Pathology, Affiliated Hospital of Nantong University, Nantong, 226019, China
| | - Shu Zhang
- Department of Pathology, Affiliated Hospital of Nantong University, Nantong, 226019, China
| | - Zhenning Qiu
- Key Laboratory of Antibody Technique of Ministry of Health, Nanjing Medical University, Nanjing, 210029, China
| | - Zhenqing Feng
- Department of Pathology, Nanjing Medical University, Nanjing, 210029, China.,Key Laboratory of Antibody Technique of Ministry of Health, Nanjing Medical University, Nanjing, 210029, China.,Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 210029, China.,Key Laboratory of Cancer Biomarkers, Prevent and Treatment, Cancer Center, Nanjing Medical University, Nanjing, 210029, China
| | - Jin Zhu
- Key Laboratory of Antibody Technique of Ministry of Health, Nanjing Medical University, Nanjing, 210029, China.,Huadong Medical Institute of Biotechniques, Nanjing, 210029, China
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53
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Wang B, Yong H, Zhu H, Ni D, Tang S, Zhang S, Wang W, Zhou Y, Zhao W, Ding G, Zhu J, Li X, Feng Z. Abnormal amphiregulin expression correlates with gastric cancer prognosis. Oncotarget 2016; 7:76684-76692. [PMID: 27713123 PMCID: PMC5363540 DOI: 10.18632/oncotarget.12436] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Accepted: 09/27/2016] [Indexed: 12/13/2022] Open
Abstract
Gastric cancer (GC) is a global health issue with a high mortality rate. Early diagnosis and tracking of GC is a challenge due to a lack of reliable tools. Amphiregulin (AREG) is a member of the epidermal growth factor (EGF) family that activates growth signaling upon binding of EGF receptors. Elevated AREG expression is associated with various pathological conditions, including cancer. Here, we investigated whether increased AREG expression is a disease indicator and/or prognostic biomarker for GC. We used tissue microarray and quantitative real-time polymerase chain reaction to assess AREG expression in clinical tissue specimens at various stages of GC and a conducted bioinformatics analysis to evaluate the value of AREG over-expression as a GC biomarker. We found that both mRNA and protein expression of AREG were increased in the tissues of GC patients when compared to tissues from non-cancer patients or normal tissues. High expression of AREG was also associated with GC clinicopathological characteristics and poor survival. Thus, over-expression of AREG could serve as a novel GC biomarker, and active surveillance of its expression could be a novel approach to GC diagnosis and monitoring.
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Affiliation(s)
- Bing Wang
- Center for Pathology and Laboratory Medicine, Zhangjiagang Ao Yang Hospital, Zhangjiagang, Jiangsu, China
- Department of Oncology, Zhangjiagang Ao Yang Hospital, Zhangjiagang, Jiangsu, China
| | - Hongmei Yong
- Department of Oncology, Huai'an Hospital Affiliated of Xuzhou Medical College and Huai'an Second People's Hospital, Huai'an, Jiangsu, China
| | - Huijun Zhu
- Department of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China
| | - Daguang Ni
- Center for Pathology and Laboratory Medicine, Zhangjiagang Ao Yang Hospital, Zhangjiagang, Jiangsu, China
| | - Sijie Tang
- Center for Pathology and Laboratory Medicine, Zhangjiagang Ao Yang Hospital, Zhangjiagang, Jiangsu, China
| | - Shu Zhang
- Department of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China
| | - Wei Wang
- Department of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China
| | - Yan Zhou
- Department of Oncology, Zhangjiagang Ao Yang Hospital, Zhangjiagang, Jiangsu, China
| | - Wei Zhao
- Department of Pathology, Nanjing Medical University, Nanjing, China
| | - Guipeng Ding
- Department of Pathology, Nanjing Medical University, Nanjing, China
| | - Jin Zhu
- Huadong Medical Institute of Biotechniques, Nanjing, China
| | - Xiaohua Li
- Center for Pathology and Laboratory Medicine, Zhangjiagang Ao Yang Hospital, Zhangjiagang, Jiangsu, China
- School of Medicine, Jiangsu University, Jiangsu, China
- The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zhenqing Feng
- Department of Oncology, Zhangjiagang Ao Yang Hospital, Zhangjiagang, Jiangsu, China
- Department of Pathology, Nanjing Medical University, Nanjing, China
- Key Laboratory of Antibody Technique of Ministry of Health, Nanjing Medical University, Nanjing, China
- Jiangsu Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
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Zeng P, Chen MB, Zhou LN, Tang M, Liu CY, Lu PH. Impact of TROP2 expression on prognosis in solid tumors: A Systematic Review and Meta-analysis. Sci Rep 2016; 6:33658. [PMID: 27645103 PMCID: PMC5028884 DOI: 10.1038/srep33658] [Citation(s) in RCA: 93] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Accepted: 08/30/2016] [Indexed: 01/20/2023] Open
Abstract
Over-expression of TROP2 (the trophoblast cell surface antigen 2) was reported to predict poor prognosis in various solid tumors in number of studies. However, the results remained not comprehensive. Therefore, we here carried out this meta-analysis of relevant studies published on this topic to quantitatively evaluate the clinicopathological significance of TROP2 in solid tumors. Relevant articles were identified through searching the PubMed, Web of Science and Embase database. The primary outcomes were overall survival (OS) and disease-free survival (DFS). In this meta-analysis, 16 studies involving 2,569 participants were included, and we drew the conclusion that TROP2 overexpression was significantly associated with poor OS (pooled HR = 1.896, 95% CI = 1.599–2.247, P < 0.001) and short DFS (pooled HR = 2.336, 95% CI = 1.596–3.419, P < 0.001). Furthermore, the subgroup analysis revealed that the associations between TROP2 overexpression and the outcome endpoints (OS or DFS) were significant in in patients with female genital system neoplasms, as well in gastrointestine neoplasms. In addition, subgroup analysis found no difference HR across populations of different descent.Taken together, TROP2 overexpression was associated with poor survival in human solid tumors. TROP2 may be a valuable prognosis predictive biomarker and a potential therapeutic target in human solid tumors.
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Affiliation(s)
- Ping Zeng
- Department of Radiotherapy and Oncology, Kunshan First People's Hospital Affiliated to Jiangsu University, 91 Qianjin Road, Kunshan 215300, Jiangsu Province, China
| | - Min-Bin Chen
- Department of Radiotherapy and Oncology, Kunshan First People's Hospital Affiliated to Jiangsu University, 91 Qianjin Road, Kunshan 215300, Jiangsu Province, China
| | - Li-Na Zhou
- Department of Radiotherapy and Oncology, Kunshan First People's Hospital Affiliated to Jiangsu University, 91 Qianjin Road, Kunshan 215300, Jiangsu Province, China
| | - Min Tang
- Department of Radiotherapy and Oncology, Kunshan First People's Hospital Affiliated to Jiangsu University, 91 Qianjin Road, Kunshan 215300, Jiangsu Province, China
| | - Chao-Ying Liu
- Department of Medical Oncology, Wuxi People's Hospital of Nanjing Medical University, No. 299, Qingyang Road, Wuxi 214023, Jiangsu Province, China
| | - Pei-Hua Lu
- Department of Medical Oncology, Wuxi People's Hospital of Nanjing Medical University, No. 299, Qingyang Road, Wuxi 214023, Jiangsu Province, China
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Cai H, Xu J, Han Y, Lu Z, Han T, Ding Y, Ma L. Integrated miRNA-risk gene-pathway pair network analysis provides prognostic biomarkers for gastric cancer. Onco Targets Ther 2016; 9:2975-86. [PMID: 27284247 PMCID: PMC4881735 DOI: 10.2147/ott.s95129] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Purpose This study aimed to identify molecular prognostic biomarkers for gastric cancer. Methods mRNA and miRNA expression profiles of eligible gastric cancer and control samples were downloaded from Gene Expression Omnibus to screen the differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRs), using MetaDE and limma packages, respectively. Target genes of the DEmiRs were also collected from both predictive and experimentally validated target databases of miRNAs. The overlapping genes between selected targets and DEGs were identified as risk genes, followed by functional enrichment analysis. Human pathways and their corresponding genes were downloaded from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database for the expression analysis of each pathway in gastric cancer samples. Next, co-pathway pairs were selected according to the Pearson correlation coefficients. Finally, the co-pathway pairs, miRNA–target pairs, and risk gene–pathway pairs were merged into a complex interaction network, the most important nodes (miRNAs/target genes/co-pathway pairs) of which were selected by calculating their degrees. Results Totally, 1,260 DEGs and 144 DEmiRs were identified. There were 336 risk genes found in the 9,572 miRNA–target pairs. Judging from the pathway expression files, 45 co-pathway pairs were screened out. There were 1,389 interactive pairs and 480 nodes in the integrated network. Among all nodes in the network, focal adhesion/extracellular matrix–receptor interaction pathways, CALM2, miR-19b, and miR-181b were the hub nodes with higher degrees. Conclusion CALM2, hsa-miR-19b, and hsa-miR-181b might be used as potential prognostic targets for gastric cancer.
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Affiliation(s)
- Hui Cai
- Department of General Surgery, Changhai Hospital, Second Military Medical University, Shanghai, People's Republic of China
| | - Jiping Xu
- Department of Medical Administration, Changhai Hospital, Second Military Medical University, Shanghai, People's Republic of China
| | - Yifang Han
- Department of Epidemiology, Research Institute for Medicine of Nanjing Command, Nanjing, People's Republic of China
| | - Zhengmao Lu
- Department of General Surgery, Changhai Hospital, Second Military Medical University, Shanghai, People's Republic of China
| | - Ting Han
- Department of General Surgery, Changhai Hospital, Second Military Medical University, Shanghai, People's Republic of China
| | - Yibo Ding
- Department of Epidemiology, Changhai Hospital, Second Military Medical University, Shanghai, People's Republic of China
| | - Liye Ma
- Department of General Surgery, Changhai Hospital, Second Military Medical University, Shanghai, People's Republic of China
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