AUTHOR=Lei Tianxiang , Zhang Yongxin , Wang Xiaofeng , Liu Wenwei , Feng Wei , Song Wu 

TITLE=A Diagnostic Model Using Exosomal Genes for Colorectal Cancer

JOURNAL=Frontiers in Genetics

VOLUME=Volume 13 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2022.863747

DOI=10.3389/fgene.2022.863747

ISSN=1664-8021

ABSTRACT=Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. Exosomes have great potential as liquid biopsy specimens, due to their presence and stability in body fluids. However, the function and diagnostic values of exosomal genes in CRC are poorly understood. In the present study, exosomal data of CRC and healthy samples from the exoRBase 2.0 and Gene Expression Omnibus (GEO) databases were used, and 38 common exosomal genes were identified. Through the Least absolute shrinkage and selection operator (Lasso) analysis, Support Vector Machine-Recursive Feature Elimination (SVM-RFE) analysis, and logistic regression analyses, a diagnostic model of the training set was constructed based on 6 exosomal genes. The diagnostic model was internally validated in the test and exoRBase 2.0 database, and externally validated in the GEO database. In addition, co-expression analysis was used to cluster co-expression modules, and enrichment analysis was performed on module genes. Then a protein-protein interaction and competing endogenous RNA network was constructed and 10 hub genes were identified using module genes. In conclusion, the results provided a comprehensive understanding of the functions of exosomal genes in CRC, as well as a diagnostic model related to exosomal genes.