Evidence map›Paper›PMID 40820175›Full record

ArticleScientific reports2025

A novel anoikis related gene prognostic model for colorectal cancer based on single cell sequencing and bulk transcriptome analyses.

Lei Yang, Yuan Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Lei YangDepartment of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Yuan ZhangKey Clinical Laboratory of Henan Province, Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China. yuanzhang1129@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is a most deadly cancer, and effective prognostic biomarkers are urgently needed. Although anoikis has diverse regulatory roles in tumor progression, the impact of anoikis-related genes (ANRG) by single-cell and bulk transcriptome analyses on the prognostic value for CRC have not been studied. Differentially expressed genes (DEGs) associated with anoikis were obtained by performing single-cell RNA-sequencing (scRNA-seq) analysis in cells with high and low ANRG expression and weighted correlation network analysis (WGCNA) in a bulk RNA sequencing dataset. Key prognostic genes were selected from anoikis associated DEGs by least absolute shrinkage and selection operator (LASSO)-Cox regression analysis, and a prognostic model was established based on the risk score calculated from the expression levels of the identified key prognostic genes. A 10 anoikis-related-gene prognostic model (MGP, TPM2, CRIP2, TUBB6, C1orf54, NOTCH3, LTBP1, CSRP2, FSTL3, and VIM) was developed and the area under the curve (AUC) values of the model in predicting 1-, 3- and 5-year survival probabilities reached 0.744, 0.797, and 0.755, respectively. In conclusion, anoikis related genes could be promising prognostic factors for risk stratification of CRC patients.

Indexed as

AnoikisColorectal NeoplasmsTranscriptomeBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMalePrognosisSingle-Cell AnalysisBiomarkers, TumorAnoikisColorectal cancerPrognosisSingle cell sequencing

Identifiers

PMID40820175
PMCPMC12358598

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