Skip to content
Open access

Targetable genes associated with hematogenous metastasis in gastric cancer using the TCGA database

Aug 2026 · Korean Journal of Clinical Oncology · Vol 22, pp. 52 - 60 · 0 citations · 29 references
Medicine

TL;DR

Several candidate genes with prior literature support showed nominal expression differences in comparisons involving hematogenous metastasis in gastric cancer, which are hypothesis-generating and require validation in independent cohorts and functional studies.

Abstract

Purpose Gastric cancer is a major global health issue, especially in advanced stages with metastasis. However, anti-angiogenic treatments such as ramucirumab target vascular endothelial growth factor, yet the exact mechanisms behind hematogenous metastasis remain unclear. This study analyzed RNA sequencing data from TCGA to identify angiogenesis-related genes in metastatic gastric cancer. Methods Patients were categorized into four metastasis types (non-metastasis, hematogenous, locoregional, and lymphatic) based on clinical data. cBioPortal was used to identify frequently mutated genes across five metastatic cancer studies. RNA sequencing and clinical data were obtained from the TCGA-STAD project. RNA expression levels were compared across metastasis groups using independent-samples t-tests, followed by false discovery rate adjustment for multiple comparisons. Results RNA expression analysis was performed using a 132-gene analytical panel in the TCGA-STAD cohort. Among the 95-gene angiogenesis/metastasis-related genes represented in this panel, RAF1, ARID1A, ERBB3, FGFR3, BAP1, TSC2, and KDR showed nominal expression differences in comparisons involving the hematogenous metastasis group. None of these differences remained statistically significant after false discovery rate correction. Conclusion In this exploratory analysis, several candidate genes with prior literature support showed nominal expression differences in comparisons involving hematogenous metastasis in gastric cancer. These findings are hypothesis-generating and require validation in independent cohorts and functional studies.

Read PDF

Similar papers

Sep 2026

Identification of a metastasis-associated prognostic gene signature in osteosarcoma through integrated bioinformatics and functional analysis

This integrated computational and experimental study identifies AURKB, CDC20, KIF11, and TOP2A as key oncogenic drivers in osteosarcoma, with significant diagnostic, prognostic, and therapeutic implications.

Qingquan Xia, Xiangchao Meng, Xu-Hua Wu et al. · 0 citations
Open access Aug 2026

Prognostic value of FUBP1 in Colorectal cancer and association with immune microenvironment characteristics.

OBJECTIVE To investigate FUBP1 expression, its prognostic value, impact on the tumor microenvironment (TME), and drug sensitivity in colorectal cancer (CRC), and to explore its potential underlying mechanisms. METHODS Using data from The Cancer Genome Atlas (TCGA), we analyzed FUBP1 expression in CRC, evaluated its p...

Zhen-Xiang Li, Yan-Fang Zhao, Yan-Li Si et al. · 0 citations
Sep 2026

ZUP1 as a Novel Potential Oncogenic Driver and Prognostic Biomarker in Breast Cancer.

This study identifies ZUP1 as a potential oncogenic factor and a robust independent prognostic biomarker in breast cancer and suggests that ZUP1 is a novel multifaceted biomarker with significant implications for personalized treatment strategies in breast cancer.

Weimiao Li, Changyou Shan, Shu-Qun Zhang et al. · 0 citations
Open access Aug 2026

Downregulation of RGS2 Expression in Ovarian Cancer: A TCGA–GTEx Transcriptomic Analysis

While RGS2 is consistently down-regulated at the transcript level in ovarian cancer, it is not significantly associated with patient survival, and its utility as a standalone prognostic biomarker is limited in unstratified transcriptomic analyses.

A. A. Ghifari, M. Sianturi, Suyanto Suyanto et al. · 0 citations
Open access 2026

Seven-Gene Signature and Immune Microenvironment as Determinants of Survival Rate in Colorectal Carcinoma

A seven-gene immune-related prognostic signature that, combined with clinicopathological parameters, provides a robust tool for individualized survival prediction and may guide precision management in CRC patients is developed and validated.

Vincenzo Rallo, Matteo Massidda, Xiaofen Wen et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.