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pmid:34124251
Identification and Verification of a 17 Immune-Related Gene Pair Prognostic Signature for Colon Cancer.
Qianshi Zhang · Zhen Feng · Yongnian Zhang · Shasha Shi · Yu Zhang · Shuangyi Ren
BioMed research international · 2021 doi:10.1155/2021/6057948
Paper
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Experiment
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Complete file
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Our study is aimed at establishing a novel robust immune-related gene pair signature for predicting the prognosis of CC.\nMETHODS: Gene expression profiles and corresponding clinical information are obtained from two public data sets: The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO, GSE39582). We screened out immune-related gene pairs (IRGPs) associated with prognosis in the discovery cohort. Lasso-Cox proportional hazard regression was used to develop the best prognostic signature model. According to this, the patients in the validation cohort were divided into high immune-risk group and low immune-risk group, and the prediction ability of the signature model was verified by survival analysis and independent prognostic analysis.\nRESULTS: A total of 17 IRGPs composed of 26 IRGs were used to construct a prognostic-related risk scoring model. This model accurately predicted the prognosis of CC patients, and the patients in the high immune-risk group indicated poor prognosis in the discovery cohort and validation cohort. Besides, whether in univariate or multivariate analysis, the IRGP signature was an independent prognostic factor. T cell CD4 memory resting in the low-risk group was significantly higher than that in the high-risk group. Functional analysis showed that the biological processes of the low-risk group included \"TCA cycle\" and \"RNA degradation,\" while the high-risk group was enriched in the \"CAMs\" and \"focal adhesion\" pathways.\nCONCLUSION: We have successfully established a signature model composed of 17 IRGPs, which provides a novel idea to predict the prognosis of CC patients.", "claims": [{"id": "claim-method", "statement": "After using Lasso-Cox proportional risk regression (1000 simulation iterations), we got the stable IRGPs to construct the final prognosis model (“glmnet” package, version: 3.0-2).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34124251", "locator": "sections[6] \"2.4. 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"title": "Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [Expression]", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:34124251:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:1e754fb2fd607e2776af3cebbb3ea44b05a0876c57755de33aa55ee27da7126e", "bytes": 570, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[12]/table-wrap[1]#tab1", "version": null, "note": "Clinical information for training and validation cohort.", "structure": {"pmcid": "PMC8166469", "section_index": 12, "section_title": "3.1. 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