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Integrative and deep learning-based prediction of therapy response in ovarian cancer

Abstract Ovarian cancer comprises a highly complex ecosystem of malignant cells and their surrounding tumor microenvironment (TME), where intricate interactions shape therapeutic responses. Most current predictive models fail to capture the full extent of these interactions. Here, we performed a com...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Alicja Rajtak, Ilona Skrabalak, Natalia Ćwilichowska-Puślecka, Agnieszka Kwiatkowska-Makuch, Marcin Poręba, Natalia Skrzypczak, Alicja Krasowska, Michael Pitter, Tomasz Maj, Jan Kotarski, Karolina Okla
Format: Artigo
Sprache:Inglês
Veröffentlicht: BMC 2025-11-01
Schriftenreihe:Journal of Experimental & Clinical Cancer Research
Schlagworte:
Cancer
HGSOC
Tumor immunity
Tumor mutations
NK cells
TP53
Online-Zugang:https://doi.org/10.1186/s13046-025-03554-w
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