Gastric Cancer: From Pathophysiologic Mechanisms to Therapeutic Strategies

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Cancer Biology and Oncology".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 1181

Special Issue Editors


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Guest Editor
Institute of Basic Medicine and Cancer, Chinese Academy of Sciences (CAS), Hangzhou, China
Interests: gastric cancer; UPS; small molecule inhibitors; targeted protein degradation; traditional Chinese medicine

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Guest Editor
Zhejiang Cancer Hospital, Hangzhou, China
Interests: gastric cancer; bioinformatics; targeted therapy; molecular mechanisms of drug resistance

Special Issue Information

Dear Colleagues,

Despite the substantial progress made in our understanding of the causes, pathogenesis, diagnosis, and treatment of gastric cancer in the past few decades, this disease remains one of the leading causes of cancer death, especially in China.  The identification and validation of new and effective biomarkers and drug targets are critically needed for patients with gastric cancer. Recently, cutting-edge omics technologies, such as spatiotemporal omics and single-cell omics, have emerged, changing cancer research and treatment. These powerful tools could help make significant progress in exploring the tumor microenvironment, cancer cell evolution and interaction with immune and stromal cells, etc., and identifying more specific and promising biomarkers and targets for human cancer, including gastric cancer. 

We invite authors to submit original research and review articles that focus on basic and translational research on gastric cancer with various new and powerful technologies. The goal is to stimulate research and clinical interest in developing strategies for the prediction, prevention, diagnosis, and treatment of gastric cancer to finally improve the treatment outcomes in patients with this malignant disease.

Dr. Jiang-Jiang Qin
Dr. Xiaoqing Guan
Guest Editors

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Keywords

  • gastric cancer
  • biomarkers
  • targets
  • diagnosis
  • treatment
  • single-cell omics
  • spatiotemporal omics

Published Papers (1 paper)

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Research

15 pages, 4790 KiB  
Article
Expression of Serpin Family E Member 1 (SERPINE1) Is Associated with Poor Prognosis of Gastric Adenocarcinoma
by Jie Lv, Chunyang Yu, Hanhan Tian, Tao Li and Changhua Yu
Biomedicines 2023, 11(12), 3346; https://doi.org/10.3390/biomedicines11123346 - 18 Dec 2023
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Abstract
Background: The aberrant expression of serpin family E member 1 (SERPINE1) is associated with carcinogenesis. This study assessed the alteration of SERPINE1 expression for an association with gastric adenocarcinoma prognosis. Methods: The Cancer Genome Atlas (TCGA) dataset was applied to investigate the impact [...] Read more.
Background: The aberrant expression of serpin family E member 1 (SERPINE1) is associated with carcinogenesis. This study assessed the alteration of SERPINE1 expression for an association with gastric adenocarcinoma prognosis. Methods: The Cancer Genome Atlas (TCGA) dataset was applied to investigate the impact of SERPINE1 expression on the survival of patients afflicted with gastric cancer. Subsequently, 136 samples from the Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University were subjected to qRT-PCR and Western blot to validate the expression level of SERPINE1 between tumor and adjacent normal tissues. The correlation between the expression of SERPINE1 with the clinicopathological features in TCGA patients was analyzed using Wilcoxon signed-rank and logistic regression tests. The potential molecular mechanism associated with SERPINE1 expression in gastric cancer were confirmed using gene set enrichment analysis (GSEA). Results: The TCGA data showed that SERPINE1 was overexpressed in tumor tissues compared to normal mucosae and associated with the tumor T stage and pathological grade. SERPINE1 overexpression was associated with the poor overall survival (OS) of patients. The findings were confirmed with 136 patients, that is, SERPINE1 expression was associated with poor OS (hazard ratio (HR): 1.82; 95% confidence interval (CI): 0.84–1.83; p = 0.012)) as an independent predictor (HR: 2.11, 95% CI: 0.81–2.34; p = 0.009). The resulting data were further processed by GSEA showed that SERPINE1 overexpression was associated with the activation of EPITHELIAL_MESENCHYMAL_TRANSITION, TNFA_SIGNALING_VIA_NFKB, INFLAMMATORY_RESPONSE, ANGIOGENESIS, and HYPOXIA. Conclusions: SERPINE1 overexpression is associated with a poor gastric cancer prognosis. Full article
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