A comprehensive study based on large-sample multi-omics integration and machine learning to decode mitochondria-associated genes: from digestive tract tumours to gastric cancer - Takeaways - MDSpire

A comprehensive study based on large-sample multi-omics integration and machine learning to decode mitochondria-associated genes: from digestive tract tumours to gastric cancer

  • By

  • Wei Zhang

  • Yu-Lu Tang

  • Yi-Yang Chen

  • Ya Shang

  • Hong-Bo Mo

  • Jie Huang

  • Yu-Feng Li

  • Ze-Hua Liu

  • Ge-Li Tan

  • Yan-Kun Ning

  • Guo-Qiang Chen

  • Jing-Wen Ling

  • Lei Wang

  • Jia-Shu Jiang

  • Jia-Yuan Luo

  • Gang Chen

  • July 6, 2026

  • 0 min

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  • 1

    The study analyzed LACTB2 expression in 10,581 digestive tract tumor samples, focusing on its role in gastric cancer.

  • 2

    LACTB2 overexpression is linked to clinical metastasis and activation of pro-cancer pathways in gastric cancer.

  • 3

    The research identified a significant transcriptional regulatory network upstream of LACTB2 affecting gastric cancer prognosis.

  • 4

    Afatinib and Ulixertinib may target LACTB2 for treating gastric cancer patients, according to the study's findings.

  • 5

    An early blood-based diagnostic model for gastric cancer was developed based on the upstream miRNA of LACTB2.

Original Source(s)

A comprehensive study based on large-sample multi-omics integration and machine learning to decode mitochondria-associated genes: from digestive tract tumours to gastric cancer

  • by Wei Zhang, Yu-Lu Tang, Yi-Yang Chen, Ya Shang, Hong-Bo Mo, Jie Huang, Yu-Feng Li, Ze-Hua Liu, Ge-Li Tan, Yan-Kun Ning, Guo-Qiang Chen, Jing-Wen Ling, Lei Wang, Jia-Shu Jiang, Jia-Yuan Luo, Gang Chen

  • July 6, 2026

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