ArticleNPJ breast cancer2020
Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer.
Article in NPJ breast cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers.
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Who cites it
133 citing papers in PubMed.
- Associations between tumor immune response and prognosis in node-negative breast cancer patients in the randomized DBCG HYPO trial.BMC cancer · 2026Trial
- Prognostic value of visually and computationally assessed tumor-infiltrating lymphocytes in early-stage triple-negative breast cancer (TBCRC-030).Journal of the National Cancer Institute · 2026Trial
- Clinicopathological and molecular predictors of [European journal of nuclear medicine and molecular imaging · 2024Trial
- Impact of stromal tumor-infiltrating lymphocytes (sTILs) on response to neoadjuvant chemotherapy in triple-negative early breast cancer in the WSG-ADAPT TN trial.Breast cancer research : BCR · 2022Trial
- The immunology of human breast cancer.Nature reviews. Immunology · 2026Review
- Artificial intelligence-based tumour infiltrating lymphocyte quantification in patients with triple-negative breast cancer: an independent validation study.The Lancet. Oncology · 2026Article
- Enhancing Translation of H&E to IHC with Robust Tumor-Infiltrating Lymphocytes Quantification Using Deep Generative Models: A Feasibility Study.Journal of imaging informatics in medicine · 2026Article
- Longitudinal evaluation of tumor-infiltrating lymphocyte scoring using automated region of interest registration in breast cancer.Breast cancer research : BCR · 2026Article
- Risk stratification and relapse pattern in triple-negative breast cancer with pathological complete response after neoadjuvant treatment: the European GAMBIT real-world study.Nature communications · 2026Observational
- Article
- Analysis of computational tumor-infiltrating lymphocytes in breast cancer from the results of the TIGER challenge.Nature communications · 2026Article
- Review
- Clinical potential and challenges of spatially profiling tumor-infiltrating lymphocytes in early-stage breast cancer.PLoS medicine · 2026Article
- Clinical and histopathological characterization of metastatic lobular breast cancer: lessons learned from post-mortem tissue donation programs.NPJ breast cancer · 2026Article
- Automated quantification of tumor-infiltrating lymphocytes by machine learning reveals prognostic and immunogenomic features in lung cancer.Scientific reports · 2026Article
- TILseg: Automated Whole Slide-Level Spatial Scoring of Tumor-Infiltrating Lymphocytes Reveals Prognostic Patterns in Triple Negative Breast Cancer.medRxiv : the preprint server for health sciences · 2026Article
- Emerging Predictive Biomarkers of Immunotherapy Sensitivity in Patients with Non-Small Cell Lung Cancer.ImmunoTargets and therapy · 2026Review
- Beyond molecular classification: integrating signaling, subcellular, and immune reprogramming in endometrial cancer.Frontiers in oncology · 2026Review
- Issues and missed opportunities in lymph node assessment after neoadjuvant chemotherapy.The Journal of pathology · 2025Review
- Seven Shades of Triple Negativity: A Review Unveiling the Low-Grade Spectrum of Breast Cancer.Cancers · 2025Review
73 more citing papers are in PubMed but not listed here.
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Authors and funding
94 authors.
Funding
Abstract
Stromal tumor-infiltrating lymphocytes (sTILs) are important prognostic and predictive biomarkers in triple-negative (TNBC) and HER2-positive breast cancer. Incorporating sTILs into clinical practice necessitates reproducible assessment. Previously developed standardized scoring guidelines have been widely embraced by the clinical and research communities. We evaluated sources of variability in sTIL assessment by pathologists in three previous sTIL ring studies. We identify common challenges and evaluate impact of discrepancies on outcome estimates in early TNBC using a newly-developed prognostic tool. Discordant sTIL assessment is driven by heterogeneity in lymphocyte distribution. Additional factors include: technical slide-related issues; scoring outside the tumor boundary; tumors with minimal assessable stroma; including lymphocytes associated with other structures; and including other inflammatory cells. Small variations in sTIL assessment modestly alter risk estimation in early TNBC but have the potential to affect treatment selection if cutpoints are employed. Scoring and averaging multiple areas, as well as use of reference images, improve consistency of sTIL evaluation. Moreover, to assist in avoiding the pitfalls identified in this analysis, we developed an educational resource available at www.tilsinbreastcancer.org/pitfalls.
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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.