Advances and applications of multiomics technologies in precision diagnosis and treatment for gastric cancer.
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Gastric cancer (GC), one of the most prevalent malignancies worldwide, is distinguished by extensive genetic and phenotypic heterogeneity, posing persistent challenges to conventional diagnostic and t
APA
Shen K, Hu C, et al. (2025). Advances and applications of multiomics technologies in precision diagnosis and treatment for gastric cancer.. Biochimica et biophysica acta. Reviews on cancer, 1880(3), 189336. https://doi.org/10.1016/j.bbcan.2025.189336
MLA
Shen K, et al.. "Advances and applications of multiomics technologies in precision diagnosis and treatment for gastric cancer.." Biochimica et biophysica acta. Reviews on cancer, vol. 1880, no. 3, 2025, pp. 189336.
PMID
40311712 ↗
Abstract 한글 요약
Gastric cancer (GC), one of the most prevalent malignancies worldwide, is distinguished by extensive genetic and phenotypic heterogeneity, posing persistent challenges to conventional diagnostic and therapeutic strategies. The significant global burden of GC highlights an urgent need to unravel its complex underlying mechanisms, discover novel diagnostic and prognostic biomarkers, and develop more effective therapeutic interventions. In this context, this review comprehensively examines the transformative roles of cutting-edge technologies, including radiomics, pathomics, genomics, transcriptomics, epigenomics, proteomics, and metabolomics, in advancing precision diagnosis and treatment for GC. Multiomics data analysis not only deepens our understanding of GC pathogenesis and molecular subtypes but also identifies promising biomarkers, facilitating the creation of tailored therapeutic approaches. Additionally, integrating multiomics approaches holds immense potential for elucidating drug resistance mechanisms, predicting patient outcomes, and uncovering novel therapeutic targets, thereby laying a robust foundation for precision medicine in the comprehensive management of GC.
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🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반
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