ArticleFrontiers in genetics2021
Stromal Score-Based Gene Signature: A Prognostic Prediction Model for Colon Cancer.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- BASP1 promotes breast cancer progression and shapes an immunosuppressive microenvironment by recruiting MDSCs and suppressing T cell function.Human cell · 2026Article
- The Spatiotemporal Heterogeneity of Tumor-Associated Stromal Cells: Reprogramming Plasticity to Unlock Precision Cancer Immunotherapy.Cancer communications (London, England) · 2026Review
- Single-Cell Transcriptomic Analysis Unveils Key Regulators and Signaling Pathways in Lung Adenocarcinoma Progression.Biomedicines · 2025Article
- Article
- Identification of glutamine metabolism-related gene signature to predict colorectal cancer prognosis.Journal of Cancer · 2024Article
- Article
- ZFP36 loss-mediated BARX1 stabilization promotes malignant phenotypes by transactivating master oncogenes in NSCLC.Cell death & disease · 2023Article
- A tumor microenvironment-related risk model for predicting the prognosis and tumor immunity of breast cancer patients.Frontiers in immunology · 2022Article
- Stromal Score-Based Gene Signature: A Prognostic Prediction Model for Colon Cancer.Frontiers in genetics · 2021Article
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6 authors.
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Abstract
backgroundGrowing evidence has revealed the crucial roles of stromal cells in the microenvironment of various malignant tumors. However, efficient prognostic signatures based on stromal characteristics in colon cancer have not been well-established yet. The present study aimed to construct a stromal score-based multigene prognostic prediction model for colon cancer.
methodsStromal scores were calculated based on the expression profiles of a colon cancer cohort from TCGA database applying the ESTIMATE algorithm. Linear models were used to identify differentially expressed genes between low-score and high-score groups by limma R package. Univariate, LASSO, and multivariate Cox regression models were used successively to select the prognostic gene signature. Two independent datasets from GEO were used as external validation cohorts.
resultsLow stromal score was demonstrated to be a favorable factor to the overall survival of colon cancer patients in TCGA cohort (
conclusionThe well-established model based on stromal score-related gene signature might serve as a promising tool for the prognostic prediction of colon cancer.
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