ArticleBMC gastroenterology2021
Identification of the angiogenesis related genes for predicting prognosis of patients with gastric cancer.
Article in BMC gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 15 citations in OpenAlex.
- FLOT vs DOS neoadjuvant chemotherapy in locally advanced gastric cancer: propensity score analysis.International journal of clinical oncology · 2025Article
- 3D spectral CT-based fusion model predicts prognosis and postoperative adjuvant chemotherapy benefit in locally advanced rectal cancer.Scientific reports · 2025Article
- Immunological characterization and prognostic of colon cancer evaluated by angiogenesis-related features: a computational analysis and in vitro experiments.Discover oncology · 2025Article
- Pan-Cancer Single-Cell Transcriptomic Analysis Reveals Divergent Expression of Embryonic Proangiogenesis Gene Modules in Tumorigenesis.Cancer medicine · 2024Article
- Cepharanthine, a regulator of keap1-Nrf2, inhibits gastric cancer growth through oxidative stress and energy metabolism pathway.Cell death discovery · 2023Article
- Integrative analysis of DNA methylation and gene expression through machine learning identifies stomach cancer diagnostic and prognostic biomarkers.Journal of cellular and molecular medicine · 2023Article
- Construction and validation of an angiogenesis-related lncRNA prognostic model in lung adenocarcinoma.Frontiers in genetics · 2023Article
- Integrating multiple machine learning algorithms for prognostic prediction of gastric cancer based on immune-related lncRNAs.Frontiers in genetics · 2023Article
- Expression of ferroptosis-related gene correlates with immune microenvironment and predicts prognosis in gastric cancer.Scientific reports · 2022Article
- Molecular Characteristics, Clinical Significance, and Cancer Immune Interactions of Angiogenesis-Associated Genes in Gastric Cancer.Frontiers in immunology · 2022Article
- Establishment of an endoplasmic reticulum stress-related signature predicting outcomes of gastric adenocarcinoma patients.Frontiers in genetics · 2022Article
- Bioinformatics evaluation of a novel angiogenesis related genes-based signature for predicting prognosis and therapeutic efficacy in patients with gastric cancer.American journal of translational research · 2022Article
- Comprehensive Analysis of Ferroptosis-Related Markers for the Clinical and Biological Value in Gastric Cancer.Oxidative medicine and cellular longevity · 2021Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAngiogenesis is a key factor in promoting tumor growth, invasion and metastasis. In this study we aimed to investigate the prognostic value of angiogenesis-related genes (ARGs) in gastric cancer (GC).
methodsmRNA sequencing data with clinical information of GC were downloaded from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. The differentially expressed ARGs between normal and tumor tissues were analyzed by limma package, and then prognosis‑associated genes were screened using Cox regression analysis. Nine angiogenesis genes were identified as crucially related to the overall survival (OS) of patients through least absolute shrinkage and selection operator (LASSO) regression. The prognostic model and corresponding nomograms were establish based on 9 ARGs and verified in in both TCGA and GEO GC cohorts respectively.
resultsEighty-five differentially expressed ARGs and their enriched pathways were confirmed. Significant enrichment analysis revealed that ARGs-related signaling pathway genes were highly related to tumor angiogenesis development. Kaplan-Meier analysis revealed that patients in the high-risk group had worse OS rates compared with the low-risk group in training cohort and validation cohort. In addition, RS had a good prognostic effect on GC patients with different clinical features, especially those with advanced GC. Besides, the calibration curves verified fine concordance between the nomogram prediction model and actual observation.
conclusionsWe developed a nine gene signature related to the angiogenesis that can predict overall survival for GC. It's assumed to be a valuable prognosis model with high efficiency, providing new perspectives in targeted therapy.
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