Abstract B028: Functional precision medicine in challenging breast cancer subtypes: Developing preclinical models for tailored therapy in complex and rare histologies

Abstract Functional precision medicine (FPM) integrates patient-derived preclinical models, molecular profiling, and drug sensitivity testing to advance personalized cancer treatments. This approach uses live patient tumor samples to conduct real-time functional assays, exposing them to a range of therapeutic agents to determine which treatments may be most effective. FPM enables a more tailored and potentially effective treatment strategy, particularly for complex cancers such as invasive breast carcinoma, which encompasses a spectrum of molecularly and clinically diverse diseases. Some subtypes, such as triple-negative breast cancer, metastatic or recurrent disease, and rare histologies, pose substantial treatment challenges. To address these complexities, we previously developed a resource of 37 hard-to-treat breast cancer patient-derived xenografts (PDXs) (Savage et al. 2020 - PMID: 32546838), demonstrating that PDXs preserve the molecular heterogeneity and multi-drug chemoresistance of the primary tumors. Expanding on this work, we have developed 35 new PDX models, including four derived from metaplastic breast cancers (MpBC), a rare and aggressive subtype characterized by minimal response to standard chemotherapy. We evaluated the molecular landscape of PDX and patient tumors, leveraging comprehensive omics data from this dataset. For each model, we evaluated potential vulnerabilities and the pattern of genomic alteration and expression profiles. Spatial transcriptomics of MpBC cases in our cohort was also evaluated (Visium - 10X technology) and we observed that the distinct transcriptomic populations overlap with the spatially defined histological features. To make our data accessible to the scientific community, we build a repository of rare breast cancer models, complete with detailed clinical, molecular, and pathological annotations, in addition to drug sensitivity profiles that may predict patient responses. By combining live biobanking and advanced profiling techniques, we identified tumor vulnerabilities, enabling the prioritization of drugs targeting these specific weaknesses. This multi-faceted approach represents a promising path to improving patient outcomes in difficult-to-treat breast cancer subtypes, helping to tailor preclinical testing and develop more effective therapies. Citation Format: Hellen Kuasne, Anne Marie Fortier, Sandrine Busque, Paul Savage, Constanza Martinez Ramirez, Anie Monast, Nebras Koudieh, Atilla Omeroglu, Lara Richer, Jamil Asselah, Nathaniel Bouganim, Francine Tremblay, Ari Nareg Meguerditchian, Sarkis Meterissian, Morag Park. Functional precision medicine in challenging breast cancer subtypes: Developing preclinical models for tailored therapy in complex and rare histologies [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Functional and Genomic Precision Medicine in Cancer: Different Perspectives, Common Goals; 2025 Mar 11-13; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(5 Suppl):Abstract nr B028.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.