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A Cell-Based Method for Identification of Chemotherapy Resistance Cancer Genes.
Hellweg, Raffaele; Mooneyham, Ashley; Bazzaro, Martina.
Afiliación
  • Hellweg R; Department of Obstetrics, Gynecology and Women's Health, University of Minnesota, Minneapolis, MN, USA.
  • Mooneyham A; Heidelberg University Breast Unit, Heidelberg, Germany.
  • Bazzaro M; Department of Obstetrics, Gynecology and Women's Health, University of Minnesota, Minneapolis, MN, USA.
Methods Mol Biol ; 1907: 83-90, 2019.
Article en En | MEDLINE | ID: mdl-30542992
Here we describe a method for identifying genes and genetic pathways responsible for chemoresistance in cancer cells. The method is based on generation and characterization of matched pairs of chemotherapy-sensitive/chemotherapy-resistant cancer cell lines. In this protocol we are using endometrial cancer cell lines treated with carboplatin and paclitaxel, which are first-line chemotherapies for gynecologic malignancies. The chemoresistant cells and their chemosensitive counterparts are used for downstream applications including bulk RNA-sequencing analysis to identify a set of genes and pathways that are associated with chemoresistance. Identification of pathways responsible for innate or acquired chemoresistance is of paramount importance for the identification of biomarkers for cancer risk stratification and prognosis, and as a pharmacogenomics model for identification of alternative chemotherapy approaches for treatment of patients with recurrent and chemoresistant disease.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Endometriales / Análisis de Secuencia de ARN / Resistencia a Antineoplásicos / Biología Computacional / Secuenciación de Nucleótidos de Alto Rendimiento / Proteínas de Neoplasias / Antineoplásicos Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Female / Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Endometriales / Análisis de Secuencia de ARN / Resistencia a Antineoplásicos / Biología Computacional / Secuenciación de Nucleótidos de Alto Rendimiento / Proteínas de Neoplasias / Antineoplásicos Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Female / Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos