Whole-genome sequencing and gene network modules predict gemcitabine/carboplatin-induced myelosuppression in non-small cell lung cancer patients

Gemcitabine/carboplatin chemotherapy commonly induces myelosuppression, including neutropenia, leukopenia, and thrombocytopenia. Predicting patients at risk of these adverse drug reactions (ADRs) and adjusting treatments accordingly is a long-term goal of personalized medicine. This study used whole...

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Veröffentlicht in:	NPJ SYSTEMS BIOLOGY AND APPLICATIONS 2020, Vol.6 (1), p.25, Article 25
Hauptverfasser:	Björn, Niclas, Badam, Tejaswi Venkata Satya, Spalinskas, Rapolas, Brandén, Eva, Koyi, Hirsh, Lewensohn, Rolf, De Petris, Luigi, Lubovac-Pilav, Zelmina, Sahlén, Pelin, Lundeberg, Joakim, Gustafsson, Mika, Gréen, Henrik
Format:	Artikel
Sprache:	eng
Schlagworte:	631/208/2490 631/553/1833 631/553/2490 631/67 Bioinformatics Bioinformatik Biomedical and Life Sciences Bone marrow Cancer Carboplatin Chemotherapy Computational Biology/Bioinformatics Computer Appl. in Life Sciences Gemcitabine Genes Genetic diversity Genetic interaction Genomes Leukopenia Life Sciences Lung cancer Medicin och hälsovetenskap Myelosuppression Neutropenia Non-small cell lung carcinoma Precision medicine Prediction models Small cell lung carcinoma Systems analysis Systems Biology Thrombocytopenia Toxicity Whole genome sequencing
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