Delineation of colorectal cancer ligand-receptor interactions and their roles in the tumor microenvironment and prognosis

Author:

Lin Hexin,Xia Lu,Lian Jiabian,Chen Yinan,Zhang Yiyi,Zhuang Zhicheng,Cai HuaJun,You Jun,Guan GuoxianORCID

Abstract

Abstract Background Immunotherapies targeting ligand-receptor interactions (LRIs) are advancing rapidly in the treatment of colorectal cancer (CRC), and LRIs also affect many aspects of CRC development. However, the pattern of LRIs in CRC and their effect on tumor microenvironment and clinical value are still unclear. Methods We delineated the pattern of LRIs in 55,539 single-cell RNA sequencing (scRNA-seq) samples from 29 patients with CRC and three bulk RNA-seq datasets containing data from 1411 CRC patients. Then the influence of tumor microenvironment, immunotherapy and prognosis of CRC patients were comprehensively investigated. Results We calculated the strength of 1893 ligand-receptor pairs between 25 cell types to reconstruct the spatial structure of CRC. We identified tumor subtypes based on LRIs, revealed the relationship between the subtypes and immunotherapy efficacy and explored the ligand-receptor pairs and specific targets affecting the abundance of tumor-infiltrating lymphocytes. Finally, a prognostic model based on ligand-receptor pairs was constructed and validated. Conclusion Overall, through the comprehensive and in-depth investigation of the existing ligand-receptor pairs, this study provides new ideas for CRC subtype classification, a new risk screening tool for CRC patients, and potential ligand-receptor pair targets and pathways for CRC therapy.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Fujian Provincial Department of Science and Technology

Talent programs granted from The First Affiliated Hospital of Fujian Medical University

the Xiamen Municipal Health Commssion

Special Financial Foundation of Fujian Provincial

Publisher

Springer Science and Business Media LLC

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

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