ArticleNPJ precision oncology2022
Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome.
Article in NPJ precision oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 48 citations in OpenAlex.
- Scalable 3D cell-interaction analysis via supercell graphs for prostate cancer risk stratification.bioRxiv : the preprint server for biology · 2026Article
- Prediction of lymphocyte-predominant breast cancer using microRNA expression in cytology specimens.Cancer cytopathology · 2026Article
- An Explainable Transformer-Based Framework for Lung Cancer Classification and Automated Radiology Report Generation from Multi-Slice CT Images.Biomedicines · 2026Article
- Computational pathology features of immune architecture predict clinically relevant outcomes in small-cell lung cancer (SCLC).NPJ precision oncology · 2026Article
- An integrated automated deep learning framework for annotating tumor-infiltrating lymphocytes in lung adenocarcinoma pathology.Frontiers in bioinformatics · 2026Article
- Value of the combination of intraepithelial tumor-infiltrating lymphocyte density and the heterogeneity of density as a prognostic marker in stage III colorectal cancers.Histology and histopathology · 2025Article
- Computational image and molecular analysis reveal unique prognostic features of immune architecture in African Versus European American women with endometrial cancer.NPJ precision oncology · 2025Article
- Assessment of PD-L1 expression and tumour infiltrating lymphocytes in early-stage non-small cell lung carcinoma with artificial intelligence algorithms.Journal of clinical pathology · 2025Article
- Article
- Combining graph neural network and Mamba to capture local and global tissue spatial relationships in whole slide images.Scientific reports · 2025Article
- Computational analysis of whole slide images predicts PD-L1 expression and progression-free survival in immunotherapy-treated non-small cell lung cancer patients.Journal of translational medicine · 2025Article
- Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma.NPJ digital medicine · 2025Article
- The germinal center-tertiary lymphoid structure after neoadjuvant chemo-immunotherapy for locally advanced lung squamous cell carcinoma can predict the disease progression.Frontiers in immunology · 2025Article
- Predicting the tumor microenvironment composition and immunotherapy response in non-small cell lung cancer from digital histopathology images.NPJ precision oncology · 2024Article
- Diagnostic performance of TILs-US score and LPBC in biopsy specimens for predicting pathological complete response in patients with breast cancer.International journal of clinical oncology · 2024Article
- Enhancing AI Research for Breast Cancer: A Comprehensive Review of Tumor-Infiltrating Lymphocyte Datasets.Journal of imaging informatics in medicine · 2024Review
- Ten challenges and opportunities in computational immuno-oncology.Journal for immunotherapy of cancer · 2024Review
- Early prediction of acute pancreatitis with acute kidney injury using abdominal contrast-enhanced CT features.iScience · 2024Article
- Pathological response and tumor stroma immunogenic features predict long-term survival in non-small cell lung cancer after neoadjuvant chemotherapy.Cellular oncology (Dordrecht, Netherlands) · 2024Article
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Authors and funding
19 authors at 8 institutions in 2 countries.
Funding
Abstract
Despite known histological, biological, and clinical differences between lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC), relatively little is known about the spatial differences in their corresponding immune contextures. Our study of over 1000 LUAD and LUSC tumors revealed that computationally derived patterns of tumor-infiltrating lymphocytes (TILs) on H&E images were different between LUAD (N = 421) and LUSC (N = 438), with TIL density being prognostic of overall survival in LUAD and spatial arrangement being more prognostically relevant in LUSC. In addition, the LUAD-specific TIL signature was associated with OS in an external validation set of 100 NSCLC treated with more than six different neoadjuvant chemotherapy regimens, and predictive of response to therapy in the clinical trial CA209-057 (n = 303). In LUAD, the prognostic TIL signature was primarily comprised of CD4
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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.