CMTM家族成员在肿瘤细胞中的分子机制及潜在临床价值

恶性肿瘤已成为危害人类健康的重要杀手,针对肿瘤的研究也成为当今医学界的热点.含有MARVEL跨膜结构域的趋化素样因子基因家族(CKLF-like MARVEL transmembrane domain containing family of genes,CMTM family),原名人类趋化素样因子超家族(chemo...

Molecular Mechanism and Potential Clinical Value of CMTM Family Members in Tumor Cells

Nowadays, malignant tumor has become an important killer endangering human health, and the research on tumor has become a hot spot in the medical field. The CKLF-like MARVEL transmembrane domain containing family of genes (CMTM family), previously called chemokine-like factor super family (CKLFSF). CMTM family is a novel gene family firstly discovered by Chinese scholars and has a wide range of biological functions, which is closely related to human immune, hematopoietic and reproductive systems as well as tumors. CMTM family is dysregulated in many common tumors, can participate in a variety of signaling pathways closely related to the occurrence and development of cancer, which is closely related to the biological behavior changes of tumor cells. CMTM family members play an important role in the signaling molecular mechanisms that regulate the biological function of tumor cells and are able to regulate the signaling pathways of the tumor cell cycle and apoptosis. Including epithelial-mesenchymal transition process, epidermal growth factor receptor related signaling pathways, and closely related to the tumor immune microenvironment by regulating programmed death receptor-ligand 1. In this paper, we review the signaling molecular mechanisms of CMTM family in the biological processes of tumor cell proliferation, migration, invasion and apoptosis, as well as the potential clinical applications of CMTM family in ovarian cancer, breast cancer, liver cancer, gastric cancer, colorectal cancer, pancreatic cancer and other common malignant tumors. At present, the detailed molecular mechanism of CMTM family related to tumor has not been fully clarified. Further study of the expression, biological role and regulatory mechanism of CMTM family in tumor will provide new ideas and targets for tumor diagnosis, treatment and prognosis prediction.