دورية أكاديمية
Exploring Metabolic Signatures of Ex Vivo Tumor Tissue Cultures for Prediction of Chemosensitivity in Ovarian Cancer
| العنوان: | Exploring Metabolic Signatures of Ex Vivo Tumor Tissue Cultures for Prediction of Chemosensitivity in Ovarian Cancer |
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| المؤلفون: | Rita Mendes, Gonçalo Graça, Fernanda Silva, Ana C. L. Guerreiro, Patrícia Gomes-Alves, Jacinta Serpa, Erwin R. Boghaert, Paula M. Alves, Ana Félix, Catarina Brito, Inês A. Isidro |
| المصدر: | Cancers, Vol 14, Iss 4460, p 4460 (2022) |
| بيانات النشر: | MDPI AG |
| سنة النشر: | 2022 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | ovarian carcinoma, ex vivo models, tumor microenvironment, metabolomics, drug response, chemoresistance, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
| 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: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 2072-6694 |
| العلاقة: | https://www.mdpi.com/2072-6694/14/18/4460Test; https://doaj.org/toc/2072-6694Test; https://doaj.org/article/a8cb6c06dc50413aa49d86bbfaae210bTest |
| DOI: | 10.3390/cancers14184460 |
| الإتاحة: | https://doi.org/10.3390/cancers14184460Test https://doaj.org/article/a8cb6c06dc50413aa49d86bbfaae210bTest |
| رقم الانضمام: | edsbas.CFDB428A |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 20726694 |
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| DOI: | 10.3390/cancers14184460 |