Personalized Cancer Treatment and Patient Stratification Using Massive Parallel Sequencing (MPS) and Other OMICs Data

التفاصيل البيبلوغرافية
العنوان: Personalized Cancer Treatment and Patient Stratification Using Massive Parallel Sequencing (MPS) and Other OMICs Data
المؤلفون: Pradip De, W. Fraser Symmans, Casey Williams, Scooter Willis, Mark Abramovitz, Razelle Kurzrock, Brian Leyland-Jones, Eleni Andreopoulou, Jason K. Sicklick, Nandini Dey, Brandon F Young
المصدر: Predictive Biomarkers in Oncology ISBN: 9783319952277
بيانات النشر: Springer International Publishing, 2018.
سنة النشر: 2018
مصطلحات موضوعية: 0301 basic medicine, Massive parallel sequencing, business.industry, Computational biology, Omics, DNA sequencing, Cancer treatment, Omics data, Clinical trial, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, 030220 oncology & carcinogenesis, Medicine, Personalized medicine, business, Patient stratification
الوصف: Cancer research is moving at a startling pace, most particularly with the identification and characterization of molecular signatures and biomarkers that will be used for prevention, early detection, diagnosis, treatment, prediction, and prognostication. The goal of cancer therapy is to match the right treatment with the right patient. To this end, several clinical trials are now employing patient stratification using “Massive Parallel Sequencing” or informally called “Next -Generation Sequencing” (NGS) to identify clinically actionable targets in real time.
ردمك: 978-3-319-95227-7
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::97c4b96098b3d394b4482a06764f7240
https://doi.org/10.1007/978-3-319-95228-4_10
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........97c4b96098b3d394b4482a06764f7240
قاعدة البيانات: OpenAIRE