ArticleTranslational oncology2019
Matrix Metalloprotease Generated Fragments of Type VI Collagen Have Serum Biomarker Potential in Cancer - A Proof of Concept Study.
Article in Translational oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed, 34 citations in OpenAlex.
- Collagen-derived biomarkers reveal distinct fibrotic responses among cancer-associated fibroblasts.Scientific reports · 2026Article
- The extracellular matrix: structure, composition, biological functions, diseases, and therapeutic targets.Molecular biomedicine · 2026Review
- Circulating EMID2 as a Prognostic Biomarker of Poor Outcomes in Patients with Metastatic Colorectal Cancer.Biomarker insights · 2026Article
- Serum levels of the C-terminal pro-peptide of type V collagen have prognostic potential and are associated with a normal subtype of desmoplasia in a retrospective cohort of patients with esophagogastric cancer.Therapeutic advances in medical oncology · 2026Article
- The Duality of Collagens in Metastases of Solid Tumors.International journal of molecular sciences · 2025Review
- miR-29a-3p compositely regulates the COL6A6/PTEN-PI3K/Akt/CUX1 feedback loop to participate in the proliferation and invasion of pituitary adenomas.Journal of molecular histology · 2025Article
- Explore Key Genes and Mechanisms Involved in Colon Cancer Progression Based on Bioinformatics Analysis.Applied biochemistry and biotechnology · 2024Article
- Endotrophin, a Key Marker and Driver for Fibroinflammatory Disease.Endocrine reviews · 2024Review
- Unveiling Collagen's Role in Breast Cancer: Insights into Expression Patterns, Functions and Clinical Implications.International journal of general medicine · 2024Review
- Article
- Revisiting Circulating Extracellular Matrix Fragments as Disease Markers in Myelofibrosis and Related Neoplasms.Cancers · 2023Review
- Article
- Collagen Family as Promising Biomarkers and Therapeutic Targets in Cancer.International journal of molecular sciences · 2022Review
- Plasma Kallikrein-Activated TGF-β Is Prognostic for Poor Overall Survival in Patients with Pancreatic Ductal Adenocarcinoma and Associates with Increased Fibrogenesis.Biomolecules · 2022Article
- Collagen Remodeling along Cancer Progression Providing a Novel Opportunity for Cancer Diagnosis and Treatment.International journal of molecular sciences · 2022Review
- Article
- COL6A6 inhibits the proliferation and metastasis of non-small cell lung cancer through the JAK signalling pathway.Translational cancer research · 2021Article
- Extracellular Matrix Biomarkers in Colorectal Cancer.International journal of molecular sciences · 2021Review
- Endotrophin and C6Ma3, serological biomarkers of type VI collagen remodelling, reflect endoscopic and clinical disease activity in IBD.Scientific reports · 2021Observational
- Prognostic value of blood-based fibrosis biomarkers in patients with metastatic colorectal cancer receiving chemotherapy and bevacizumab.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundType VI collagen (COL6) is associated with several pro-tumorigenic events. COL6 is primarily composed of three alpha-chains (a1-a3) forming a specialized microfibrillar network to support tissue architecture. COL6 homeostasis is lost in the tumor due to increased COL6 synthesis by activated fibroblast and altered proteolytic degradation by matrix metalloproteases (MMPs). Consequently, pathology-specific COL6 fragments are released to the circulation. This study evaluates four COL6 fragments measured in serum as potential biomarkers for cancer.
methodsC6Ma1 (MMP-generated neo-epitope on the a1 chain), C6Ma3 (MMP-generated neo-epitope on the a3 chain), PRO-C6 (C-terminal of the a3 chain) and IC-6 (internal epitope on the a1 chain) were measured by ELISA in serum from patients with various stage 1-4 cancer indications (n = 4-11 per indication, total n = 65) and healthy controls (n = 13).
resultsC6Ma1 and C6Ma3 were significantly elevated in most cancer types compared to controls; PRO-C6 and IC6 were not. No significant differences were seen according to age, gender and TNM stage. Comparing cancer patients to controls, the AUROC was 0.90 (P < .0001), 0.87 (P < .0001), 0.59 (P = .311) and 0.53 (P = .747) for C6Ma1, C6Ma3, PRO-C6 and IC-6, respectively. Only C6M and C6Ma3 correlated significantly (Spearman, r = 0.74, P < .0001).
conclusionsMMP-generated COL6 fragments (C6Ma1, C6Ma3) were elevated in serum from cancer patients compared to controls and had promising diagnostic accuracy. This supports that MMP-mediated COL6 remodeling is important in tumorigenesis and indicate cancer biomarker potential of quantifying COL-6 fragments in serum. Future studies should determine biological and clinical applicability of the COL-6 serum biomarkers in relation to cancer.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.