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

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.

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Publication Details

Journal
Scientific Reports
Published
2025-08-18
DOI
https://doi.org/10.1038/s41598-025-15389-8
Citations
1
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.94
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article

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

Lei Yang, Yuan Zhang
1 citations
Scientific Reports
Cancer-related molecular mechanisms research
0.94
article

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

Lei Yang, Yuan Zhang
article en
1 citations

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.

Scientific ReportsVol. 15(1)
First Affiliated Hospital of Zhengzhou University (CN)
Good health and well-being
Openalex Percentile: Top 21%
Cancer-related molecular mechanisms research
0.94
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