ArticleHeliyon2024
Potential regulation and prognostic model of colorectal cancer with extracellular matrix genes.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed.
- Functional validation of driver mutation-specific uveal melanoma biomarkers: role of COL9A3 in cancer cell plasticity.The Journal of pathology · 2026Article
- Single-cell transcriptomic analysis reveals cellular heterogeneity and prognostic subtypes in colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- PRRX2-CNTN3 axis promotes epithelial-to-mesenchymal transition and metastasis in colorectal cancer.Cell division · 2026Article
- DDR2-COL11A1 Transcriptional Coupling as a Candidate Therapeutic Target in Colorectal Cancer: Integrative Transcriptomic and Deep Learning Validation.International journal of molecular sciences · 2026Article
- Integrative multi-omics analysis identifies genetically supported druggable targets for inflammatory bowel disease.Journal, genetic engineering & biotechnology · 2025Article
- Construction of a risk and prognostic model for migrasome-associated lncRNAs in renal cell carcinoma.Scientific reports · 2025Article
- Article
- Exploring the Role of Cellular Interactions in the Colorectal Cancer Microenvironment.Journal of immunology research · 2025Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The tumor microenvironment (TME) of colorectal cancer (CRC) mainly comprises immune cells, stromal cells, tumor cells, as well as the extracellular matrix (ECM), which holds a pivotal position. The ECM affects cancer progression, but its regulatory roles and predictive potential in CRC are not fully understood. Methods: We analyzed transcriptomes from CRC tumors and paired normal tissues to study ECM features. Up-regulated ECM components were examined through functional enrichment analysis, and single-cell sequencing identified cell types producing collagen, regulators, and secreted factors. Transcription factor analysis and cell-cell interaction studies were conducted to identify potential regulators of ECM changes. Additionally, a prognostic model was developed using TCGA-CRC cohort data, focusing on up-regulated core ECM components. Results: Bulk RNA-seq analysis revealed a unique ECM pattern in tumors, with ECM abundance and composition significantly related to patient survival. Up-regulated ECM components were linked to various cancer-related pathways. Fibroblasts and non-fibroblasts interactions were crucial in forming the TME. Key potential regulators identified included ZNF469, PRRX2, TWIST1, and AEBP1. A prognostic model based on five ECM genes (THBS3, LAMB3, ESM1, SPRX, COL9A3) demonstrated strong associations with immune suppression and tumor angiogenesis. Conclusions: The ECM components were involved in various cell-cell interactions and correlated with tumor development and poor survival outcomes. The ECM prognostic model components could be potential targets for novel therapeutic interventions in colorectal cancer.
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Registered trials
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