Protocol for quantifying drug sensitivity in 3D patient-derived ovarian cancer models.

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Bibliographic Details
Title: Protocol for quantifying drug sensitivity in 3D patient-derived ovarian cancer models.
Authors: Labrosse KB; Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, 4031 Basel, Switzerland; Hospital for Women, University Hospital Basel, 4031 Basel, Switzerland. Electronic address: kathrin.labrosse@usb.ch., Lombardo FC; Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, 4031 Basel, Switzerland., Rimmer N; Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, 4031 Basel, Switzerland., Núñez López M; Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, 4031 Basel, Switzerland., Fedier A; Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, 4031 Basel, Switzerland., Heinzelmann-Schwarz V; Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, 4031 Basel, Switzerland; Hospital for Women, University Hospital Basel, 4031 Basel, Switzerland., Coelho R; Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, 4031 Basel, Switzerland. Electronic address: ricardojorge.bouca-novacoelho@unibas.ch., Jacob F; Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, 4031 Basel, Switzerland. Electronic address: francis.jacob@unibas.ch.
Source: STAR protocols [STAR Protoc] 2024 Sep 20; Vol. 5 (3), pp. 103274. Date of Electronic Publication: 2024 Aug 21.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 101769501 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2666-1667 (Electronic) Linking ISSN: 26661667 NLM ISO Abbreviation: STAR Protoc Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2666-1667
DOI:10.1016/j.xpro.2024.103274