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A Novel Enterocyte-related 4-gene Signature for Predicting Prognosis in Colon Adenocarcinoma

Overview
Journal Front Immunol
Date 2022 Dec 19
PMID 36532007
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Abstract

Background: Colon adenocarcinoma (COAD) is a fatal disease, and its cases are constantly increasing worldwide. Further, the therapeutic and management strategies for patients with COAD are still unsatisfactory due to the lack of accurate patient classification and prognostic models. Therefore, our study aims to identify prognostic markers in patients with COAD and construct a cell subtype-specific prognostic model with high accuracy and robustness.

Methods: Single-cell transcriptomic data of six samples were retrieved from the Gene expression omnibus (GEO) database. The cluster annotation and cell-cell communication analysis identified enterocytes as a key player mediating signal communication networks. A four-gene signature prognostic model was constructed based on the enterocyte-related differentially expressed genes (ERDEGs) in patients with COAD of the Cancer Genome Atlas cohort. The prognostic model was validated on three external validation cohorts from the GEO database. The correlation between immune cell infiltration, immunotherapy response, drug sensitivity, and the four-gene signature prognostic model was investigated. Finally, immunohistochemistry (IHC) was performed to determine the expression of the four genes.

Results: We found that the proportion of epithelial cells was obviously large in COAD samples. Further analysis of epithelial cells showed that the activity of the enterocytes was highest in the cell-cell communication network. Based on enterocyte data, 30 ERDEGs were identified and a 4-gene prognostic model including , , , and was developed and validated. The risk score derived from this model was considered as an independent variable factor to predict overall survival. The patients were divided into high- and low-risk groups based on the median riskscore value. The correlation between immune cell infiltration, immunotherapy response, immune status, clinical characteristics, drug sensitivity, and risk score was analyzed. IHC confirmed the expression of signature genes in tissues from normal individuals, patients with polyps, and COAD.

Conclusion: In this study, we constructed and validated a novel four-gene signature prognostic model, which could effectively predict the response to immunotherapy and overall survival in patients with COAD. More importantly, this model provides useful insight into the management of colon cancer patients and aids in designing personalized therapy.

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References
1.
Li H, Huang B . <em>miR-19a</em> targeting <em>CLCA4</em> to regulate the proliferation, migration, and invasion of colorectal cancer cells. Eur J Histochem. 2022; 66(1). PMC: 8958453. DOI: 10.4081/ejh.2022.3381. View

2.
Hofmanova J, Slavik J, Ciganek M, Ovesna P, Tylichova Z, Karasova M . Complex Alterations of Fatty Acid Metabolism and Phospholipidome Uncovered in Isolated Colon Cancer Epithelial Cells. Int J Mol Sci. 2021; 22(13). PMC: 8268957. DOI: 10.3390/ijms22136650. View

3.
Jardim D, Goodman A, Gagliato D, Kurzrock R . The Challenges of Tumor Mutational Burden as an Immunotherapy Biomarker. Cancer Cell. 2020; 39(2):154-173. PMC: 7878292. DOI: 10.1016/j.ccell.2020.10.001. View

4.
Yang Y, Feng M, Bai L, Liao W, Zhou K, Zhang M . Comprehensive analysis of EMT-related genes and lncRNAs in the prognosis, immunity, and drug treatment of colorectal cancer. J Transl Med. 2021; 19(1):391. PMC: 8444417. DOI: 10.1186/s12967-021-03065-0. View

5.
Wang Q, Wang Z, Zhang Z, Zhang W, Zhang M, Shen Z . Landscape of cell heterogeneity and evolutionary trajectory in ulcerative colitis-associated colon cancer revealed by single-cell RNA sequencing. Chin J Cancer Res. 2021; 33(2):271-288. PMC: 8181874. DOI: 10.21147/j.issn.1000-9604.2021.02.13. View