ArticleCommunications medicine2024
Computational pathology identifies immune-mediated collagen disruption to predict clinical outcomes in gynecologic malignancies.
Article in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 15 citations in OpenAlex.
- TIMEL: Deep learning-statistical integration reveals spatial stromal and immune signatures of aggressive colon cancer.Journal of pathology informatics · 2026Article
- Deep learning-driven recognition of panoramic tumor microenvironment features in H&E sections and its application.Journal for immunotherapy of cancer · 2026Review
- Article
- A novel six-biomarker panel identified from male breast cancer-associated fibroblasts demonstrates prognostic power for prostate tumors.Journal of translational medicine · 2025Article
- In vivo CRISPR screening in head and neck cancer reveals Uchl5 as an immunotherapy target.Nature communications · 2025Article
- Clinical relevance of computationally derived tubular features and their spatial relationships with the interstitial microenvironment in minimal change disease/focal segmental glomerulosclerosis.Kidney international · 2025Observational
- Pre-Treatment Tumor Collagen is Associated with Triple-Negative Breast Cancer Pathological Response to Chemo-Immunotherapy.Annals of surgical oncology · 2025Article
- Quantitative and qualitative metrics of tumor stroma in predicting ovarian cancer outcomes and expansion of its study with AI-based tools.Molecular therapy. Oncology · 2025Review
- Artificial intelligence in digital pathology - time for a reality check.Nature reviews. Clinical oncology · 2025Review
- Benchmarking histopathology foundation models for ovarian cancer bevacizumab treatment response prediction from whole slide images.Discover oncology · 2025Article
- The role of various collagen types in tumor biology: a review.Frontiers in oncology · 2025Review
- Interpretable weakly-supervised learning through kernel density matrices: A digital pathology use case.PloS one · 2025Article
- Computational pathology identifies immune-mediated collagen disruption to predict clinical outcomes in gynecologic malignancies.Communications medicine · 2024Article
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Authors and funding
14 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundThe role of immune cells in collagen degradation within the tumor microenvironment (TME) is unclear. Immune cells, particularly tumor-infiltrating lymphocytes (TILs), are known to alter the extracellular matrix, affecting cancer progression and patient survival. However, the quantitative evaluation of the immune modulatory impact on collagen architecture within the TME remains limited.
methodsWe introduce CollaTIL, a computational pathology method that quantitatively characterizes the immune-collagen relationship within the TME of gynecologic cancers, including high-grade serous ovarian (HGSOC), cervical squamous cell carcinoma (CSCC), and endometrial carcinomas. CollaTIL aims to investigate immune modulatory impact on collagen architecture within the TME, aiming to uncover the interplay between the immune system and tumor progression.
resultsWe observe that an increased immune infiltrate is associated with chaotic collagen architecture and higher entropy, while immune sparse TME exhibits ordered collagen and lower entropy. Importantly, CollaTIL-associated features that stratify disease risk are linked with gene signatures corresponding to TCA-Cycle in CSCC, and amino acid metabolism, and macrophages in HGSOC.
conclusionsCollaTIL uncovers a relationship between immune infiltration and collagen structure in the TME of gynecologic cancers. Integrating CollaTIL with genomic analysis offers promising opportunities for future therapeutic strategies and enhanced prognostic assessments in gynecologic oncology.
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Registered trials
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