Machine learning-based spatial characterization of tumor-immune microenvironment in the EORTC 10994/BIG 1-00 early breast cancer trial.
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| Title: | Machine learning-based spatial characterization of tumor-immune microenvironment in the EORTC 10994/BIG 1-00 early breast cancer trial. |
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| Authors: | Zerdes I; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden. ioannis.zerdes@ki.se.; Theme Cancer, Karolinska Comprehensive Cancer Center and University Hospital, Stockholm, Sweden. ioannis.zerdes@ki.se., Matikas A; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.; Breast Center, Theme Cancer, Karolinska Comprehensive Cancer Center and University Hospital, Stockholm, Sweden., Mezheyeuski A; Department of Immunology, Genetics, and Pathology, Uppsala University, Uppsala, Sweden.; Molecular Oncology Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain., Manikis G; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.; Computational BioMedicine Laboratory (CBML), Foundation for Research and Technology-Hellas (FORTH), Heraklion, Greece., Acs B; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.; Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden., Johansson H; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden., Boyaci C; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.; Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden., Boman C; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.; Breast Center, Theme Cancer, Karolinska Comprehensive Cancer Center and University Hospital, Stockholm, Sweden., Poncet C; European Organisation for Research and Treatment of Cancer Headquarters, Brussels, Belgium., Ignatiadis M; Department of Medical Oncology, Institut Jules Bordet and L'Université Libre de Bruxelles (U.L.B), Brussels; Academic Trials Promoting Team (ATPT), Institut Jules Bordet, Brussels, Belgium., Bai Y; Department of Pathology, Yale School of Medicine, New Haven, CT, USA.; Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA., Rimm DL; Department of Pathology, Yale School of Medicine, New Haven, CT, USA.; Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA., Cameron D; Edinburgh University Cancer Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK., Bonnefoi H; Department of Medical Oncology, Institut Bergonié Unicancer, INSERM U1312, Université de Bordeaux, Bordeaux, France., Bergh J; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.; Breast Center, Theme Cancer, Karolinska Comprehensive Cancer Center and University Hospital, Stockholm, Sweden., MacGrogan G; Department of Biopathology, Institut Bergonié Unicancer, INSERM U1312, Bordeaux, France., Foukakis T; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.; Breast Center, Theme Cancer, Karolinska Comprehensive Cancer Center and University Hospital, Stockholm, Sweden. |
| Source: | NPJ breast cancer [NPJ Breast Cancer] 2025 Mar 07; Vol. 11 (1), pp. 23. Date of Electronic Publication: 2025 Mar 07. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Breast Cancer Research Foundation Country of Publication: United States NLM ID: 101674891 Publication Model: Electronic Cited Medium: Print ISSN: 2374-4677 (Print) Linking ISSN: 23744677 NLM ISO Abbreviation: NPJ Breast Cancer Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2374-4677 |
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| DOI: | 10.1038/s41523-025-00730-1 |
