ArticleBritish journal of cancer2018
A core matrisome gene signature predicts cancer outcome.
Article in British journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.
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Who cites it
74 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic Review of Prognostic Gene Signature in Gastric Cancer Patients.Frontiers in bioengineering and biotechnology · 2020Pooled it
- Understanding and targeting the tumour matrisome.Nature reviews. Clinical oncology · 2026Review
- The extracellular matrix in cancer-associated fibrosis: molecular mechanisms and clinical relevance.JCI insight · 2026Review
- Cancer-associated fibroblast heterogeneity and its role in reshaping immunotherapy in solid cancers: potential strategies and clinical promise.Frontiers in cell and developmental biology · 2026Review
- Inhibiting fibronectin assembly in the breast tumor microenvironment increases cell death and improves response to doxorubicin.bioRxiv : the preprint server for biology · 2025Article
- Zymogen granule protein 16B (ZG16B) is a druggable epigenetic target to modulate the mammary extracellular matrix.Cancer science · 2025Article
- A mitochondrial ferroptosis-related gene signature predicts prognosis and immune landscape in colon cancer.Frontiers in medicine · 2025Article
- Multi-omics analysis of parthanatos related molecular subgroup and prognostic model development in stomach adenocarcinoma.PloS one · 2025Article
- Cracking the code: predicting tumor microenvironment enabled chemoresistance with machine learning in the human tumoroid models.npj biomedical innovations · 2025Article
- Revealing the structural microenvironment of high metastatic risk uveal melanomas following decellularisation.Scientific reports · 2024Article
- The extracellular matrix protein EMILIN-1 impacts on the microenvironment by hampering gastric cancer development and progression.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024Article
- SOX11 as a prognostic biomarker linked to m6A modification and immune infiltration in renal clear cell carcinoma.Translational cancer research · 2024Article
- Cervical extracellular matrix hydrogel optimizes tumor heterogeneity of cervical squamous cell carcinoma organoids.Science advances · 2024Article
- Hydrogel-Embedded Precision-Cut Lung Slices Model Lung Cancer Premalignancy Ex Vivo.Advanced healthcare materials · 2024Article
- Longevity interventions modulate mechanotransduction and extracellular matrix homeostasis in C. elegans.Nature communications · 2024Article
- Critical functions of extracellular matrix in brain metastasis seeding.Cellular and molecular life sciences : CMLS · 2023Review
- Transcriptome profiling of patient-derived tumor xenografts suggests novel extracellular matrix-related signatures for gastric cancer prognosis prediction.Journal of translational medicine · 2023Article
- Proteomic Profiling of Extracellular Matrix Components from Patient Metastases Identifies Consistently Elevated Proteins for Developing Nanobodies That Target Primary Tumors and Metastases.Cancer research · 2023Article
- Extracellular Matrix Dynamics as an Emerging yet Understudied Hallmark of Aging and Longevity.Aging and disease · 2023Review
- Extracellular matrix educates an immunoregulatory tumor macrophage phenotype found in ovarian cancer metastasis.Nature communications · 2023Article
14 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundAccumulating evidence implicates the tumour stroma as an important determinant of cancer progression but the protein constituents relevant for this effect are unknown. Here we utilised a bioinformatics approach to identify an extracellular matrix (ECM) gene signature overexpressed in multiple cancer types and strongly predictive of adverse outcome.
methodsGene expression levels in cancers were determined using Oncomine. Geneset enrichment analysis was performed using the Broad Institute desktop application. Survival analysis was performed using KM plotter. Survival data were generated from publically available genesets.
resultsWe analysed ECM genes significantly upregulated across a large cohort of patients with ovarian, lung, gastric and colon cancers and defined a signature of nine commonly upregulated genes. Each of these nine genes was considerably overexpressed in all the cancers studied, and cumulatively, their expression was associated with poor prognosis across all data sets. Further, the gene signature expression was associated with enrichment of genes governing processes linked to poor prognosis, such as EMT, angiogenesis, hypoxia, and inflammation.
conclusionsHere we identify a nine-gene ECM signature, which strongly predicts outcome across multiple cancer types and can be used for prognostication after validation in prospective cancer cohorts.
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