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Integrated single-cell and bulk RNA-seq analysis identifies a prognostic T-cell signature in colorectal cancer.

ABSTRACT: Colorectal cancer (CRC) is a major contributor to global morbidity and mortality, necessitating more effective therapeutic approaches. T cells, prominent in the tumor microenvironment, exert a crucial role in modulating immunotherapeutic responses and clinical outcomes in CRC. This study introduces a pioneering method for characterizing the CRC immune microenvironment using single-cell sequencing data. Unlike previous approaches, which focused on individual T-cell signature genes, we utilized overall infiltration levels of colorectal cancer signature T-cells. Through weighted gene co-expression network analysis, Lasso regression, and StepCox analysis, we developed a prognostic risk model, TRGS (T-cell related genes signatures), based on six T cell-related genes. Multivariate Cox analysis identified TRGS as an independent prognostic factor for CRC, showcasing its superior predictive efficacy compared to existing immune-related prognostic models. Immunoreactivity analysis revealed higher Immunophenoscore and lower Tumor Immune Dysfunction and Exclusion scores in the low-risk group, indicating potential responsiveness to immune checkpoint inhibitor therapy. Additionally, patients in the low-risk group demonstrated heightened sensitivity to 5-fluorouracil-based chemotherapy regimens. In summary, TRGS emerges as a standalone prognostic biomarker for CRC, offering insights to optimize patient responses to immunotherapy and chemotherapy, thereby laying the groundwork for personalized tumor management strategies.

SUBMITTER: Cui P

PROVIDER: S-EPMC11364821 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature

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Integrated single-cell and bulk RNA-seq analysis identifies a prognostic T-cell signature in colorectal cancer.

Cui Peng P Wang Haibo H Bai Zhigang Z

Scientific reports 20240830 1

Colorectal cancer (CRC) is a major contributor to global morbidity and mortality, necessitating more effective therapeutic approaches. T cells, prominent in the tumor microenvironment, exert a crucial role in modulating immunotherapeutic responses and clinical outcomes in CRC. This study introduces a pioneering method for characterizing the CRC immune microenvironment using single-cell sequencing data. Unlike previous approaches, which focused on individual T-cell signature genes, we utilized ov ...[more]

PMID: 39215032

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Dataset Information

Integrated single-cell and bulk RNA-seq analysis identifies a prognostic T-cell signature in colorectal cancer.

Publications

Integrated single-cell and bulk RNA-seq analysis identifies a prognostic T-cell signature in colorectal cancer.

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