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Molecular characterization and biomarker discovery in gastric cancer progression through transcriptome meta-analysis.

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Computers in biology and medicine 📖 저널 OA 8.2% 2021: 0/1 OA 2022: 0/5 OA 2023: 0/4 OA 2024: 3/8 OA 2025: 3/45 OA 2026: 2/32 OA 2021~2026 2024 Vol.183() p. 109276
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Matos TL, Souza PFN, de Moraes MEA, Rabenhorst SHB, Mesquita FP, Montenegro RC

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Gastric cancer (GC) is a leading cause of cancer-related deaths globally.

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APA Matos TL, Souza PFN, et al. (2024). Molecular characterization and biomarker discovery in gastric cancer progression through transcriptome meta-analysis.. Computers in biology and medicine, 183, 109276. https://doi.org/10.1016/j.compbiomed.2024.109276
MLA Matos TL, et al.. "Molecular characterization and biomarker discovery in gastric cancer progression through transcriptome meta-analysis.." Computers in biology and medicine, vol. 183, 2024, pp. 109276.
PMID 39447404 ↗

Abstract

Gastric cancer (GC) is a leading cause of cancer-related deaths globally. It is a multifactorial, molecularly heterogeneous disease whose carcinogenic patterns are not yet well established, requiring the development of new tools for better understanding and identifying gastric carcinogenesis. From this point of view, this study aims to compare transcriptome profiles from The Cancer Genome Atlas Stomach Adenocarcinoma (TCGA-STAD) and a human-merged dataset to identify potential biomarkers and therapeutic targets. Principal component analysis (PCA) revealed shared and distinct gene expression patterns between datasets. Differential expression analysis identified key genes with altered expression across non-malignant and malignant samples. Six genes, including SERPINE1 and CLDN9, were significantly associated with patient survival. The findings underscore the molecular diversity of GC and highlight novel biomarkers for early diagnosis and therapeutic strategies. Further validation in clinical specimens is necessary.

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