An epithelial-mesenchymal transition-related mRNA signature associated with the prognosis, immune infiltration and therapeutic response of colon adenocarcinoma

被引:5
|
作者
Zhang, Yu [1 ,2 ]
Li, Yan [1 ,2 ]
Zuo, Zan [1 ,2 ]
Li, Ting [1 ,2 ]
An, Ying [1 ,2 ]
Zhang, Wenjing [3 ,4 ]
机构
[1] Kunming Univ Sci & Technol, Peoples Hosp Yunnan Prov 1, Dept Gastroenterol, Affiliated Hosp, Kunming, Peoples R China
[2] Yunnan Digest Endoscopy Clin Med Ctr, Kunming, Peoples R China
[3] Kunming Univ Sci & Technol, Fac Med, Kunming, Peoples R China
[4] Kunming Univ Sci & Technol, Peoples Hosp Yunnan Prov 1, Dept Med Oncol, Affiliated Hosp, Kunming, Peoples R China
基金
中国国家自然科学基金;
关键词
epithelial-mesenchymal transition; bioinformatics; prognostic signature; tumor immune microenvironment; colon adenocarcinoma; COLORECTAL-CANCER; TUMOR MICROENVIRONMENT; EXPRESSION; PROMOTES; IDENTIFICATION; METASTASIS; EMT; PROGRESSION; SURVIVAL; GENES;
D O I
10.3389/pore.2023.1611016
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Epithelial-mesenchymal transition (EMT) is closely associated with cancer cell metastasis. Colon adenocarcinoma (COAD) is one of the most common malignancies in the world, and its metastasis leading to poor prognosis remains a challenge for clinicians. The purpose of this study was to explore the prognostic value of EMT-related genes (EMTRGs) by bioinformatics analysis and to develop a new EMTRGs prognostic signature for COAD.Methods: The TCGA-COAD dataset was downloaded from the TCGA portal as the training cohort, and the GSE17538 and GSE29621 datasets were obtained from the GEO database as the validation cohort. The best EMTRGs prognostic signature was constructed by differential expression analysis, Cox, and LASSO regression analysis. Gene set enrichment analysis (GSEA) is used to reveal pathways that are enriched in high-risk and low-risk groups. Differences in tumor immune cell levels were analyzed using microenvironmental cell population counter and single sample gene set enrichment analysis. Subclass mapping analysis and Genomics of Drug Sensitivity in Cancer were applied for prediction of immunotherapy response and chemotherapy response, respectively.Results: A total of 77 differentially expressed EMTRGs were identified in the TCGA-COAD cohort, and they were significantly associated with functions and pathways related to cancer cell metastasis, proliferation, and apoptosis. We constructed EMTRGs prognostic signature with COMP, MYL9, PCOLCE2, SCG2, and TIMP1 as new COAD prognostic biomarkers. The high-risk group had a poorer prognosis with enhanced immune cell infiltration. The GSEA demonstrated that the high-risk group was involved in "ECM Receptor Interaction," "WNT Signaling Pathway" and "Colorectal Cancer." Furthermore, patients with high risk scores may respond to anti-CTLA4 therapy and may be more resistant to targeted therapy agents BI 2536 and ABT-888.Conclusion: Together, we developed a new EMTRGs prognostic signature that can be an independent prognostic factor for COAD. This study has guiding implications for individualized counseling and treatment of COAD patients.
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页数:14
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