ArticleTheranostics2021
Large-scale tumor-associated collagen signatures identify high-risk breast cancer patients.
Article in Theranostics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis 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.
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Who cites it
69 citing papers in PubMed, 1 synthesis or guideline pooled it.
- 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
- Integrated collagen architecture and composition improve risk stratification in triple-negative breast cancer.Neoplasia (New York, N.Y.) · 2026Article
- From Label-Free Multiphoton Imaging to Pathological Reports: A Vision-Language Breast Cancer Margin Pathological Diagnosis System.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Decoding the Collagenome in Breast Cancer: Mechanotransduction, Microenvironment, and Translational Opportunities.International journal of molecular sciences · 2026Review
- Article
- Multitargeted nanoparticles inhibit cancer invasion by disrupting cancer-associated fibroblast-tumor cell crosstalk and modulating collagen pattern and EMT.Journal of nanobiotechnology · 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
- Interpreting tissue stiffening with lung tumorigenesis by imaging architectural resembling of extracellular matrix components.Communications biology · 2026Article
- Intraoperative biopsy imaging of lung cancer risk.Communications medicine · 2026Article
- Artificial Intelligence in Label-Free Optical Imaging Applications.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Evaluation of Metaplastic Triple-Negative Breast Cancer Extracellular Matrix Structure and Protein Composition.Bioengineering (Basel, Switzerland) · 2025Article
- Prognostic value of nuclear features based on tumor-associated collagen signatures in breast cancer.NPJ breast cancer · 2025Article
- Collagen dynamics in the breast cancer tumor microenvironment and therapeutic perspectives.Discover oncology · 2025Review
- Deep learning-enabled multiphoton microscopy predicts colorectal cancer recurrence from routine FFPE specimens.NPJ digital medicine · 2025Article
- Mode-Specific Coherent Interference of Vibrational Sum-Frequency Generation Imaging: An Approach to Differentiate Lung Tumors through Collagen Interfibrillar Distances.Journal of the American Chemical Society · 2025Article
- The Duality of Collagens in Metastases of Solid Tumors.International journal of molecular sciences · 2025Review
- Collagen-Based Tumor Spheroid Model for Investigating Tumor-Macrophage Interactions through Extracellular Matrix Remodeling.bioRxiv : the preprint server for biology · 2025Article
- Laser speckle particle sizer (SPARSE) informs the size distribution of tissue granularities.Science advances · 2025Article
9 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
19 authors.
Funding
Abstract
The notion of personalized medicine demands proper prognostic biomarkers to guide the optimal therapy for an invasive breast cancer patient. However, various risk prediction models based on conventional clinicopathological factors and emergent molecular assays have been frequently limited by either a low strength of prognosis or restricted applicability to specific types of patients. Therefore, there is a critical need to develop a strong and general prognosticator.
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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.