Precision medicine in colorectal cancer: Leveraging multi-omics, spatial omics, and artificial intelligence.

Journal: Clinica chimica acta; international journal of clinical chemistry
Published Date:

Abstract

Colorectal cancer (CRC) is a leading cause of cancer-related deaths. Recent advancements in genomic technologies and analytical approaches have revolutionized CRC research, enabling precision medicine. This review highlights the integration of multi-omics, spatial omics, and artificial intelligence (AI) in advancing precision medicine for CRC. Multi-omics approaches have uncovered molecular mechanisms driving CRC progression, while spatial omics have provided insights into the spatial heterogeneity of gene expression in CRC tissues. AI techniques have been utilized to analyze complex datasets, identify new treatment targets, and enhance diagnosis and prognosis. Despite the tumor's heterogeneity and genetic and epigenetic complexity, the fusion of multi-omics, spatial omics, and AI shows the potential to overcome these challenges and advance precision medicine in CRC. The future lies in integrating these technologies to provide deeper insights and enable personalized therapies for CRC patients.

Authors

  • Zishan Xu
    Department of Pathology, Xinxiang Medical University, Xinxiang 453000, China.
  • Wei Li
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Xiangyang Dong
    Department of Pathology, Xinxiang Medical University, Xinxiang 453000, China.
  • Yingying Chen
  • Dan Zhang
    School of Pharmacy, Southwest Medical University, Luzhou 646000, China.
  • Jingnan Wang
    Xinxiang Medical University SanQuan Medical College, Xinxiang 453003, China.
  • Lin Zhou
    Guangdong Province Key Laboratory for Biotechnology Drug Candidates, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University Guangzhou 510006 People's Republic of China zhoulin@gdpu.edu.cn +86-20-39352151 +86-20-39352151.
  • Guoyang He
    Department of Pathology, Xinxiang Medical University, Xinxiang 453000, China. Electronic address: heguoyang529@126.com.