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Current development of molecular classifications of gastric cancer based on omics (Review)

  • Authors:
    • Yubo Ma
    • Zhengchen Jiang
    • Libin Pan
    • Ying Zhou
    • Ruihong Xia
    • Zhuo Liu
    • Li Yuan
  • View Affiliations / Copyright

    Affiliations: The Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, P.R. China, Department of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, P.R. China, Department of Pharmacy, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310005, P.R. China, Zhejiang Key Lab of Prevention, Diagnosis and Therapy of Upper Gastrointestinal Cancer, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, P.R. China;
    Copyright: © Ma et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 89
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    Published online on: August 1, 2024
       https://doi.org/10.3892/ijo.2024.5677
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Abstract

Gastric cancer (GC) is a complex and heterogeneous disease with significant phenotypic and genetic variation. Traditional classification systems rely mainly on the evaluation of clinical pathological features and conventional biomarkers and might not capture the diverse clinical processes of individual GCs. The latest discoveries in omics technologies such as next‑generation sequencing, proteomics and metabolomics have provided crucial insights into potential genetic alterations and biological events in GC. Clustering strategies for identifying subtypes of GC might offer new tools for improving GC treatment and clinical trial outcomes by enabling the development of therapies tailored to specific subtypes. However, the feasibility and therapeutic significance of implementing molecular classifications of GC in clinical practice need to addressed. The present review examines the current molecular classifications, delineates the prevailing landscape of clinically relevant molecular features, analyzes their correlations with traditional GC classifications, and discusses potential clinical applications.
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Spandidos Publications style
Ma Y, Jiang Z, Pan L, Zhou Y, Xia R, Liu Z and Yuan L: Current development of molecular classifications of gastric cancer based on omics (Review). Int J Oncol 65: 89, 2024.
APA
Ma, Y., Jiang, Z., Pan, L., Zhou, Y., Xia, R., Liu, Z., & Yuan, L. (2024). Current development of molecular classifications of gastric cancer based on omics (Review). International Journal of Oncology, 65, 89. https://doi.org/10.3892/ijo.2024.5677
MLA
Ma, Y., Jiang, Z., Pan, L., Zhou, Y., Xia, R., Liu, Z., Yuan, L."Current development of molecular classifications of gastric cancer based on omics (Review)". International Journal of Oncology 65.3 (2024): 89.
Chicago
Ma, Y., Jiang, Z., Pan, L., Zhou, Y., Xia, R., Liu, Z., Yuan, L."Current development of molecular classifications of gastric cancer based on omics (Review)". International Journal of Oncology 65, no. 3 (2024): 89. https://doi.org/10.3892/ijo.2024.5677
Copy and paste a formatted citation
x
Spandidos Publications style
Ma Y, Jiang Z, Pan L, Zhou Y, Xia R, Liu Z and Yuan L: Current development of molecular classifications of gastric cancer based on omics (Review). Int J Oncol 65: 89, 2024.
APA
Ma, Y., Jiang, Z., Pan, L., Zhou, Y., Xia, R., Liu, Z., & Yuan, L. (2024). Current development of molecular classifications of gastric cancer based on omics (Review). International Journal of Oncology, 65, 89. https://doi.org/10.3892/ijo.2024.5677
MLA
Ma, Y., Jiang, Z., Pan, L., Zhou, Y., Xia, R., Liu, Z., Yuan, L."Current development of molecular classifications of gastric cancer based on omics (Review)". International Journal of Oncology 65.3 (2024): 89.
Chicago
Ma, Y., Jiang, Z., Pan, L., Zhou, Y., Xia, R., Liu, Z., Yuan, L."Current development of molecular classifications of gastric cancer based on omics (Review)". International Journal of Oncology 65, no. 3 (2024): 89. https://doi.org/10.3892/ijo.2024.5677
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