ArticleCancers2020
Tumour Stroma Ratio Assessment Using Digital Image Analysis Predicts Survival in Triple Negative and Luminal Breast Cancer.
Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 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
43 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.
- Prognostic Efficacy of Tumor-Stroma Ratio in Women With Breast Cancer: A Meta-Analysis of Cohort Studies.Frontiers in oncology · 2021Pooled it
- Added value of the tumor-stroma ratio to the PREDICT model for breast cancer.Breast (Edinburgh, Scotland) · 2026Article
- Proteomic Analysis Identifies Association of Periostin, a Matricellular Protein, with High Tumor Stroma and Immune Exclusion in Triple-Negative Breast Cancer.Cancer research and treatment · 2026Article
- Reactive Stroma as a Transversal Prognostic Biomarker for Metastasis in Breast Cancer: Integration of Digital Histopathology and Transcriptomic Profiling.International journal of molecular sciences · 2026Article
- Characterisation and impact of intratumoural stroma in melanoma and carcinoma brain metastases.The journal of pathology. Clinical research · 2026Article
- Article
- Targeting Extra Domain A of Fibronectin to Improve Noninvasive Detection of Triple-Negative Breast Cancer.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Article
- Computational pathology for breast cancer: Where do we stand for prognostic applications?Breast (Edinburgh, Scotland) · 2025Review
- Prognostic value of tumour-stroma ratio in nasopharyngeal carcinoma: a two-center retrospective study.Radiation oncology (London, England) · 2025Article
- Stroma and lymphocytes identified by deep learning are independent predictors for survival in pancreatic cancer.Scientific reports · 2025Article
- Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation.Breast cancer research : BCR · 2025Article
- Tumor-stroma type and tumor-stroma ratio predict neoadjuvant chemotherapy response in breast cancer.Revista da Associacao Medica Brasileira (1992) · 2025Article
- Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma.Journal of pathology informatics · 2024Article
- Inverse correlation between the amounts of lymphocytic infiltrate and stroma in breast carcinoma.Heliyon · 2024Article
- Apparent diffusion coefficient and tissue stiffness are associated with different tumor microenvironment features of hepatocellular carcinoma.European radiology · 2024Article
- Tumour-stroma ratio (TSR) in breast cancer: comparison of scoring core biopsies versus resection specimens.Virchows Archiv : an international journal of pathology · 2024Article
- Digital Whole Slide Image Analysis of Elevated Stromal Content and Extracellular Matrix Protein Expression Predicts Adverse Prognosis in Triple-Negative Breast Cancer.International journal of molecular sciences · 2024Article
- Feasibility and effectiveness of automatic deep learning network and radiomics models for differentiating tumor stroma ratio in pancreatic ductal adenocarcinoma.Insights into imaging · 2023Article
- A Review of AI-Based Radiomics and Computational Pathology Approaches in Triple-Negative Breast Cancer: Current Applications and Perspectives.Clinical breast cancer · 2023Review
- AI-enabled routine H&E image based prognostic marker for early-stage luminal breast cancer.NPJ precision oncology · 2023Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to determine the clinical significance of tumour stroma ratio (TSR) in luminal and triple negative breast cancer (TNBC) using digital image analysis and machine learning algorithms. Automated image analysis using QuPath software was applied to a cohort of 647 breast cancer patients (403 luminal and 244 TNBC) using digital H&E images of tissue microarrays (TMAs). Kaplan-Meier and Cox proportional hazards were used to ascertain relationships with overall survival (OS) and breast cancer specific survival (BCSS). For TNBC, low TSR (high stroma) was associated with poor prognosis for both OS (HR 1.9, CI 1.1-3.3,
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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.