دورية أكاديمية

Exploring Metabolic Signatures of Ex Vivo Tumor Tissue Cultures for Prediction of Chemosensitivity in Ovarian Cancer

التفاصيل البيبلوغرافية
العنوان: Exploring Metabolic Signatures of Ex Vivo Tumor Tissue Cultures for Prediction of Chemosensitivity in Ovarian Cancer
المؤلفون: Mendes, Rita, Graça, Gonçalo, Silva, Fernanda, Guerreiro, Ana C L, Gomes-Alves, Patrícia, Serpa, Jacinta, Boghaert, Erwin R, Alves, Paula M, Félix, Ana, Brito, Catarina, Isidro, Inês A.
المساهمون: Instituto de Tecnologia Química e Biológica António Xavier (ITQB), NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM), iNOVA4Health - pólo NMS, RUN
سنة النشر: 2022
مصطلحات موضوعية: biomarkers, chemoresistance, drug response, ex vivo models, metabolomics, ovarian carcinoma, tumor microenvironment, SDG 3 - Good Health and Well-being
الوصف: Predicting patient response to treatment and the onset of chemoresistance are still major challenges in oncology. Chemoresistance is deeply influenced by the complex cellular interactions occurring within the tumor microenvironment (TME), including metabolic crosstalk. We have previously shown that ex vivo tumor tissue cultures derived from ovarian carcinoma (OvC) resections retain the TME components for at least four weeks of culture and implemented assays for assessment of drug response. Here, we explored ex vivo patient-derived tumor tissue cultures to uncover metabolic signatures of chemosensitivity and/or resistance. Tissue cultures derived from nine OvC cases were challenged with carboplatin and paclitaxel, the standard-of-care chemotherapeutics, and the metabolic footprints were characterized by LC-MS. Partial least-squares discriminant analysis (PLS-DA) revealed metabolic signatures that discriminated high-responder from low-responder tissue cultures to ex vivo drug exposure. As a proof-of-concept, a set of potential metabolic biomarkers of drug response was identified based on the receiver operating characteristics (ROC) curve, comprising amino acids, fatty acids, pyrimidine, glutathione, and TCA cycle pathways. Overall, this work establishes an analytical and computational platform to explore metabolic features of the TME associated with response to treatment, which can leverage the discovery of biomarkers of drug response and resistance in OvC.
نوع الوثيقة: journal article
وصف الملف: application/pdf
اللغة: English
العلاقة: 2072-6694; PURE: 46752095
DOI: 10.3390/cancers14184460
الإتاحة: http://hdl.handle.net/10362/144474Test
حقوق: open access
رقم الانضمام: rcaap.com.unl.run.unl.pt.10362.144474
قاعدة البيانات: RCAAP