Bridging the Gap in Personalized Oncology using Omics Data and Epidemiology
Resumen: As Personalized Medicine tailored the field of precision oncology, many challenges have been arising to fulfill the dream of a full personalized health integrated system in cancer therapy. Personalized oncology has been addressed through the past decades in multiple disease and various stages using high throughput technology. This review gives hand on recent advances of personalized oncology in several cancer disease models including leukemia, melanoma, breast cancer, lung cancer, colorectal cancer, and prostate cancer. Moreover, the review enumerates technology-based assessment of personalized biomarkers, including chip micro-array, organ on chip, and next generation sequencing. Meanwhile addressing challenges faced in implementing true personalized health cancer in oncology setting, this review focuses on bridging the gap between omics data analytics and epidemiology to overcome the true challenge of direct application.
Idioma: Inglés
DOI: 10.31031/NACS.2018.02.000527
Año: 2018
Publicado en: Novel Approaches in Cancer Study 2, 1 (2018), 137-144
ISSN: 2637-773X

Tipo y forma: Article (Published version)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.


Exportado de SIDERAL (2022-05-03-12:28:08)


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