Stand-alone Transcriptional Immune Response Prediction in Primary Triple-Negative Breast Cancer
Tumor immune response has prognostic and treatment predictive value in TNBC and can be estimated by, e.g., mRNA profiling. Translating this association into classifications for single patients requires stand-alone predictors. We have developed one such mRNA classifier that could be applied in future clinical contexts and clinical trials.
Authors
- Deborah F. Nacer (ORCID: https://orcid.org/0000-0002-7117-1371)
- Fredrika Killander (ORCID: https://orcid.org/0000-0001-6266-0459)
- Johan Vallon‐Christersson (ORCID: https://orcid.org/0000-0002-2195-0385)
- Jari Häkkinen (ORCID: https://orcid.org/0000-0002-8466-9179)
- Mattias Ohlsson (ORCID: https://orcid.org/0000-0003-1145-4297)
- Johan Staaf (ORCID: https://orcid.org/0000-0001-5254-5115)
- Srinivas Veerla (ORCID: https://orcid.org/0000-0001-7328-6239)
- Hani Saghir (ORCID: https://orcid.org/0009-0004-2666-2798)
- Suze Roostee (ORCID: https://orcid.org/0000-0003-3908-7417)
- Iñaki Sasiain (ORCID: https://orcid.org/0009-0007-6177-0155)
- Niklas Loman (ORCID: https://orcid.org/0000-0003-1425-5189)
Institutions
- University of Copenhagen (DK)
- Lund University (SE)
Publication Details
- Journal
- Cancer Research Communications
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1158/2767-9764.crc-25-0453
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Cancerfonden
- Lunds Universitet
- Vetenskapsrådet
- Fru Berta Kamprads Stiftelse