Evidence map›Paper›PMID 34675628›Full record

ArticleInternational journal of general medicine2021

Construction of a New Tumor Immunity-Related Signature to Assess and Classify the Prognostic Risk of Colorectal Cancer.

Xiaocheng Wu, Tianxing Yang, Liping Qian, Desheng Zhang, Hui Yang

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Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiaocheng WuZhejiang Chinese Medical University, Hangzhou City, People's Republic of China.ORCID 0000-0002-1259-4534
Tianxing YangDepartment of Medical Oncology, Sanmen People's Hospital, Taizhou City, People's Republic of China.
Liping QianHang Zhou Cancer Hospital, Hangzhou City, People's Republic of China.
Desheng ZhangDepartment of Radiology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, People's Republic of China.
Hui YangDepartment of Gastroenterology, Changxing People's Hospital, Huzhou City, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlthough immunotherapy and checkpoint inhibitors contribute to the treatment of colorectal cancer (CRC), few patients can benefit from these treatments. Therefore, our goal was to develop a marker based on immune-related genes to predict the prognosis of patients with CRC to guide treatment strategies.

methodsGene expression data from colorectal cancer patients in the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas were analyzed systematically. We used Cox regression to identify immune-related genes with potential prognostic value. The expression of immune genes, infiltration level of immune cells, and several immune-related molecules were further compared between the high-risk and low-risk groups. Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes pathway analyses were used for functional analysis.

resultsFive GEO datasets were integrated into a merged GEO dataset, which showed obvious survival in StromalScore and ESTIMATEScore. WGCNA showed that 749 genes of the pink module are related to immunity, 95 of which are related to prognosis, correlating with cytokine-cytokine receptor interaction and natural killer cell-mediated cytotoxicity. Among these genes, an 11-gene signature was developed through stability selection and LASSO Cox regression. Univariate and multifactorial Cox regression analyses demonstrated that gene signature was an independent prognostic factor for predicting survival in patients with colorectal cancer. Samples from the low-risk group may be more sensitive to immunotherapy. In addition, the nomogram risk prediction model effectively predicted the prognosis of CRC patients by appropriately stratifying the risk scores.

conclusionIn conclusion, we developed a novel immune-related gene signature that may be useful in predicting cancer progression and prognosis, thus contributing to the individualized management of colorectal cancer patients.

Indexed as

bioinformaticscolorectal cancerimmuneprognosisThe Cancer Genome Atlas

Identifiers

PMID34675628
PMCPMC8520451

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