ArticleJournal of pathology informatics2014
Automated quantification of aligned collagen for human breast carcinoma prognosis.
Article in Journal of pathology informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 2 of them syntheses that pooled it.
What it found
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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
150 citing papers in PubMed, 2 syntheses or guidelines pooled it, 221 citations in OpenAlex.
- The association between tumor-stromal collagen features and the clinical outcomes of patients with breast cancer: a systematic review.Breast cancer research : BCR · 2025Pooled it
- The clinical usefulness of optical coherence tomography during cancer interventions.Journal of cancer research and clinical oncology · 2018Pooled it
- Disorganised stroma determined on pre-treatment breast cancer biopsies is associated with poor response to neoadjuvant chemotherapy: Results from the NEOZOTAC trial.Molecular oncology · 2015Trial
- Acoustic Tweezers-Assisted Biomaterial Molding in Petri Dishes (TAMP) for Engineering Glioma Tissues With Controlled Cellular and Extracellular Matrix Architectures.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Fibroblast response to burn injury in larval zebrafish mirrors developmental maturation and is inhibited by infiltrating neutrophils.Development (Cambridge, England) · 2026Article
- Tumor-associated collagen signature in relation to metastasis in lung adenocarcinoma.Journal of thoracic disease · 2026Article
- Identification of an immediate-early gene-activated fibroblast state in frozen shoulder capsular fibrosis.iScience · 2026Article
- Integrated Collagen Architecture and Composition Improve Risk Stratification in Triple-Negative Breast Cancer.bioRxiv : the preprint server for biology · 2026Article
- Whole-slide mapping of tumor tissue fiber architecture via computational scattered light imaging.Biomedical optics express · 2026Article
- Association of tumor associated collagen signature with lymph node metastasis in pancreatic ductal adenocarcinoma.Bioengineering & translational medicine · 2026Article
- Jagged1 regulates extracellular matrix deposition and remodeling in triple-negative breast cancer.Science advances · 2026Article
- The 3D Collagen Network as a Determinant of Tumor Progression and Drug Delivery Efficiency in Breast Cancer.Pharmaceutics · 2026Review
- Improved imaging interfaces on a co-registered ultrasound and optical microscopy multiscale system.Journal of biomedical optics · 2026Article
- Semaphorin-7A promotes macrophage-mediated mammary epithelial and ductal carcinoma in situ invasion.Breast cancer research : BCR · 2025Article
- Relaxin-2 drives regenerative healing and suppresses scar formation.bioRxiv : the preprint server for biology · 2025Article
- Preventing hypocontractility-induced fibroblast expansion alleviates dilated cardiomyopathy.Science (New York, N.Y.) · 2025Article
- Targeted silencing of Engrailed-1 reprograms profibrotic fibroblast lineage for scarless wound healing.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Article
- Quantitative image analysis of the extracellular matrix of esophageal squamous cell carcinoma and high grade dysplasia via two-photon microscopy.Scientific reports · 2025Article
- Learning-enhanced 3D fiber orientation mapping in thick cardiac tissues.Biomedical optics express · 2025Article
- Polychromatic Polarization Microscopy Differentiates Collagen Fiber Signatures in Benign Pancreatic Tissue and Pancreatic Ductal Adenocarcinoma.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025Article
90 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundMortality in cancer patients is directly attributable to the ability of cancer cells to metastasize to distant sites from the primary tumor. This migration of tumor cells begins with a remodeling of the local tumor microenvironment, including changes to the extracellular matrix and the recruitment of stromal cells, both of which facilitate invasion of tumor cells into the bloodstream. In breast cancer, it has been proposed that the alignment of collagen fibers surrounding tumor epithelial cells can serve as a quantitative image-based biomarker for survival of invasive ductal carcinoma patients. Specific types of collagen alignment have been identified for their prognostic value and now these tumor associated collagen signatures (TACS) are central to several clinical specimen imaging trials. Here, we implement the semi-automated acquisition and analysis of this TACS candidate biomarker and demonstrate a protocol that will allow consistent scoring to be performed throughout large patient cohorts.
methodsUsing large field of view high resolution microscopy techniques, image processing and supervised learning methods, we are able to quantify and score features of collagen fiber alignment with respect to adjacent tumor-stromal boundaries.
resultsOur semi-automated technique produced scores that have statistically significant correlation with scores generated by a panel of three human observers. In addition, our system generated classification scores that accurately predicted survival in a cohort of 196 breast cancer patients. Feature rank analysis reveals that TACS positive fibers are more well-aligned with each other, are of generally lower density, and terminate within or near groups of epithelial cells at larger angles of interaction.
conclusionThese results demonstrate the utility of a supervised learning protocol for streamlining the analysis of collagen alignment with respect to tumor stromal boundaries.
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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.