Identification of multiomics and immune infiltration-associated biomarkers for early gastric cancer: a machine learning-based diagnostic model development study.

Journal: BMC cancer
Published Date:

Abstract

BACKGROUND: Gastric cancer (GC) is a leading cause of cancer-related deaths worldwide, with early diagnosis remaining a significant challenge. Available serum biomarkers lack specificity, making it difficult to accurately identify early non-metastatic GC cases. Reliable diagnostic biomarkers that can detect early GC are critical to improve prognosis.

Authors

  • Kewei Du
    Laboratory Medicine Center, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, China.
  • Wenfei Hu
    Laboratory Medicine Center, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, China.
  • Shan Gao
    Department of Mathematics and Statistics, Yunnan University, China.
  • Jianxin Gan
    Department of General Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, China.
  • Chongge You
    The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, People's Republic of China.
  • Shangdi Zhang
    Laboratory Medicine Center, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, China. zhangsd1985@126.com.

Keywords

No keywords available for this article.