ArticleOncotarget2014
A 5-gene classifier from the carcinoma-associated fibroblast transcriptomic profile and clinical outcome in colorectal cancer.
Article in Oncotarget, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- The exosomal miRNA/FOXN3 axis empowers fibroblasts with tumor-promoting functions via enhanced migration and altered secretome.Journal of nanobiotechnology · 2026Article
- Cancer-Associated Fibroblasts: The Origin, Biological Characteristics and Role in Cancer-A Glance on Colorectal Cancer.Cancers · 2022Review
- Comprehensive Analysis of PDLIM3 Expression Profile, Prognostic Value, and Correlations with Immune Infiltrates in Gastric Cancer.Journal of immunology research · 2022Article
- The Tumor Microenvironment in Liver Metastases from Colorectal Carcinoma in the Context of the Histologic Growth Patterns.International journal of molecular sciences · 2021Review
- The Versatile Roles of Cancer-Associated Fibroblasts in Colorectal Cancer and Therapeutic Implications.Frontiers in cell and developmental biology · 2021Review
- Prognostic and Predictive Cross-Roads of Microsatellite Instability and Immune Response to Colon Cancer.International journal of molecular sciences · 2020Review
- Tumour-stroma ratio has poor prognostic value in non-pedunculated T1 colorectal cancer: A multi-centre case-cohort study.United European gastroenterology journal · 2020Article
- Prognostic and Predictive Molecular Biomarkers for Colorectal Cancer: Updates and Challenges.Cancers · 2020Review
- Relative contribution of clinicopathological variables, genomic markers, transcriptomic subtyping and microenvironment features for outcome prediction in stage II/III colorectal cancer.Annals of oncology : official journal of the European Society for Medical Oncology · 2019Article
- MicroRNA Biogenesis Pathway Genes Are Deregulated in Colorectal Cancer.International journal of molecular sciences · 2019Article
- Article
- Hyaluronan, Cancer-Associated Fibroblasts and the Tumor Microenvironment in Malignant Progression.Frontiers in cell and developmental biology · 2018Review
- Prediction of overall survival in stage II and III colon cancer beyond TNM system: a retrospective, pooled biomarker study.Annals of oncology : official journal of the European Society for Medical Oncology · 2017Article
- Transcriptional upregulation of c-MET is associated with invasion and tumor budding in colorectal cancer.Oncotarget · 2016Article
- Data on clinical significance of GAS2 in colorectal cancer cells.Data in brief · 2016Article
- Fibroblasts, an inconspicuous but essential player in colon cancer development and progression.World journal of gastroenterology · 2016Review
- Podoplanin-expressing cancer-associated fibroblasts inhibit small cell lung cancer growth.Oncotarget · 2015Article
- Stromal Targets for Fluorescent-Guided Oncologic Surgery.Frontiers in oncology · 2015Review
- Prognostic and Predictive Significance of Stromal Fibroblasts and Macrophages in Colon Cancer.Biomarkers in cancer · 2015Review
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Based on 108 differentially expressed genes between carcinoma-associated fibroblasts (CAFs) and paired normal colonic fibroblasts we recently reported, a 5-gene classifier for relapse prediction in Stage II/III colorectal cancer (CRC ) was developed. Its predictive value was validated in datasets GSE17538, GSE33113 and GSE14095. An additional validation was performed in a metacohort (n=317) and 142 CRC patients by means of RT-PCR. The 5-gene classifier was significantly associated with increased relapse risk and death from CRC across all validation series of Stage II/III patients used. Multivariate Cox regression analyses confirmed the independent prognostic value of the stromal classifier (HR=2.67; P=0.002). Post-test probabilities provided evidence of the suitability of the 5-gene classifier in clinical practice, identifying a subgroup of Stage-II patients who were at high risk of relapse. Moreover, the a priory worst prognosis mesenchymal subtype of tumours can be stratified according to the physiological status of their carcinoma-associated fibroblasts. In conclusion the CAFs-derived 5-gene classifier provides more accurate information about outcome than conventional clinicopathological criteria and it could be useful to take clinical decisions, especially in Stage II. Additionally, the classifier put into relevance the CAF's intratumoral heterogeneity and might contribute to find relevant targets for depleting adequate CAFS subtypes.
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