Comprehensive in-silico molecular analysis of early-onset gastric cancer identifies novel genes implicated in disease characterization and progression (Review)
Abstract
Gastric cancer, a prevalent and fatal form of cancer worldwide, is manifested at different age ranges during the lifespan. Approximately oneâthird of newly diagnosed gastric cancer cases are earlyâonset gastric cancer (EOâGC), which affects individuals under the age of 50 years. EOâGC tends to be more aggressive than lateâonset gastric cancer (LâGC), with a faster and multifocal disease progression. Furthermore, EOâGC is associated with early metastatic disease. Recent research has underscored the need for a deeper understanding of EOâGC that promotes therapeutic approaches specific to EOâGC. The present study determined the main transcripâ tomic differences between EOâGC and LâGC. Transcriptomic expression data from The Cancer Genome AtlasâStomach Adenocarcinoma were explored to elucidate whether age is associated with a specific genomic expression pattern and is associated with gastric cancer. Subsequently, a differential gene expression analysis of the EOâGC vs. LâGC groups was performed, providing new insights into EOâGC gene expression characteristics and their association with survival outcomes. Furthermore, the study focused on whether the influence of representative gene expression in EOâGC cases (KLHL4, MAGEL2, CYP8B1, RNLS, CLDN6, MIOX, PNMA5 and ACTL8 genes) may be associated with its aggressive phenotype and methylation profiles of these patients. In this review, the necessity of incorporating age as a crucial element in understanding the disparities in outcomes for EOâGC cases in public datasets was discussed. Furthermore, this insight may be useful for targeted early personalized clinical interâ ventions to improve patient prognosis and survival rates in EOâGC cases. © 2025 GómezâValenzuela et al.
Más información
| Título según WOS: | Comprehensive in-silico molecular analysis of early-onset gastric cancer identifies novel genes implicated in disease characterization and progression (Review) |
| Título de la Revista: | Oncology Reports |
| Volumen: | 54 |
| Número: | 2 |
| Editorial: | Spandidos Publications |
| Fecha de publicación: | 2025 |
| Idioma: | English |
| DOI: |
10.3892/or.2025.8931 |
| Notas: | ISI |