G. Aurilio, M. Santoni, A. Cimadamore, F. Massari, M. Scarpelli, A. López-Beltran, Liang Cheng, N. Battelli, F. Nolè, R. Montironi
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Renal Cell Carcinoma: genomic landscape and clinical implications
ABSTRACT Introduction: The route to precision medicine in Renal Cell Carcinoma (RCC) is still full of challenges for worldwide uro-oncologists. This is mainly related to the high complexity of the genomic landscape of this tumor. Area covered: In this review, we focused on the most recent advances on RCC genomic scenario and its clinical and prognostic implications. In particular, we describe the main gene alterations that occur during RCC development and progression. At this purpose, we extensively analyzed the available literature from Pubmed archives on this field. Expert commentary: Summarizing all available data and taking separately each putative biomarker illustrated, we feel to conclude that there is a certain correlation between the alterations occurring in BAP1, PBMR1, and SETD2 genes and the prognosis of RCC patients. However, apart from this individual analysis, the mutational scenario in RCC seems to be even more intricate. The evolution of RCC will pass through the optimization of emerging laboratory techniques and to a progressive integration of these methodologies within daily clinical practice and in the context of randomized trials.
期刊介绍:
Expert Review of Precision Medicine and Drug Development publishes primarily review articles covering the development and clinical application of medicine to be used in a personalized therapy setting; in addition, the journal also publishes original research and commentary-style articles. In an era where medicine is recognizing that a one-size-fits-all approach is not always appropriate, it has become necessary to identify patients responsive to treatments and treat patient populations using a tailored approach. Areas covered include: Development and application of drugs targeted to specific genotypes and populations, as well as advanced diagnostic technologies and significant biomarkers that aid in this. Clinical trials and case studies within personalized therapy and drug development. Screening, prediction and prevention of disease, prediction of adverse events, treatment monitoring, effects of metabolomics and microbiomics on treatment. Secondary population research, genome-wide association studies, disease–gene association studies, personal genome technologies. Ethical and cost–benefit issues, the impact to healthcare and business infrastructure, and regulatory issues.