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REVIEW article

Front. Immunol.

Sec. Cancer Immunity and Immunotherapy

Organotropic Metastasis in Colorectal Cancer: Integrating Molecular Pathways with Therapeutic Opportunities

Provisionally accepted
Hanhui  JingHanhui Jing1Yan  GaoYan Gao1ZongSheng  SunZongSheng Sun1Ying  LiYing Li1Jin  WangJin Wang1Liangliang  ZhangLiangliang Zhang2Shanglong  LiuShanglong Liu1*
  • 1The Affiliated Hospital of Qingdao University, Qingdao, China
  • 2The Second People's Hospital of Kashgar, Kashgar, China

The final, formatted version of the article will be published soon.

Colorectal cancer (CRC), characterized by high incidence and mortality rates, is an aggressive malignancy that significantly burdens public health. Metastasis represents the principal factor contributing to treatment failure in CRC patients, largely due to limited comprehension of the underlying mechanisms governing this phenomenon. CRC metastasis involves multiple factors, including dynamics within the tumor microenvironment (TME), epithelial–mesenchymal transition (EMT), and the dissemination of cancer cells through the circulatory and lymphatic systems. These mechanisms are regulated by complex molecular interactions. A deeper understanding of the metastatic processes and the identification of viable therapeutic targets could substantially advance innovative clinical interventions. This review highlights key contributors to CRC metastasis, integrates relevant molecular mechanisms with distinct patterns of organ-specific spread, and emphasizes the latest advancements in this field. Additionally, it explores experimental models of CRC and metastasis, provides mechanistic insights, and addresses challenges in the clinical management of metastatic CRC. This article aims to facilitate future research and highlight promising therapeutic opportunities for clinical translation.

Keywords: colorectal cancer, metastasis, Influencing factors, artificial intelligence, therapeutic opportunities

Received: 14 Aug 2025; Accepted: 18 Nov 2025.

Copyright: © 2025 Jing, Gao, Sun, Li, Wang, Zhang and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Shanglong Liu, liushanglong@qdu.edu.cn

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