Frontiers in Immunology, Год журнала: 2025, Номер 16

Опубликована: Апрель 17, 2025

Background Colon adenocarcinoma (COAD) is the most frequently occurring type of colon cancer. Cancer-associated fibroblasts (CAFs) are pivotal in facilitating tumor growth and metastasis; however, their specific role COAD not yet fully understood. This research utilizes single-cell RNA sequencing (scRNA-seq) to identify validate gene markers linked malignancy CAFs. Methods ScRNA-seq data was downloaded from a database subjected quality control, dimensionality reduction, clustering, cell annotation, communication analysis, enrichment specifically focusing on tissues compared normal tissues. Fibroblast subsets were isolated, dimensionally reduced, clustered, then combined with copy number variation (CNV) inference pseudotime trajectory analysis genes related malignancy. A Cox regression model constructed based these genes, incorporating LASSO nomogram construction, validation.Subsequently, we established two FNDC5 -knockdown lines utilized colony formation transwell assays investigate impact cellular biological behaviors. Results Using scRNA-seq data, analyzed 8,911 cells samples, identifying six distinct types. Cell highlighted interactions between types mediated by ligands receptors. CNV classified CAFs into three groups levels. Pseudo-time identified 622 pseudotime-related generated forest plot using univariate regression. Lasso independent prognostic , which visualized nomogram. Kaplan-Meier survival confirmed value showing associations T stage distant metastasis. In vitro experiment results demonstrated strong association expression levels proliferative, migratory, invasive abilities cancer cells. Conclusion We developed risk for as potential therapeutic target COAD.

Язык: Английский