2026-08-29T13:16:50Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/93422024-11-29T22:01:03Zcom_20.500.12105_2173com_20.500.12105_2051col_20.500.12105_19597
Repisalud
author
Carril-Ajuria, Lucía
author
Santos, María
author
Roldán-Romero, Juan María
author
Rodriguez Antona, Cristina
author
de Velasco, Guillermo
2020-03-26T13:19:33Z
2020-03-26T13:19:33Z
2019-12-19
Cancers (Basel). 2019 ;12(1).
10.3390/cancers12010016
2072-6694
Cancers
31861590
http://hdl.handle.net/20.500.12105/9342
Renal cell carcinoma (RCC) is the most frequent kidney solid tumor, the clear cell RCC (ccRCC) being the major histological subtype. The probability of recurrence and the clinical behavior of ccRCC will greatly depend on the different clinical and histopathological features, already incorporated to different scoring systems, and on the genomic landscape of the tumor. In this sense, ccRCC has for a long time been known to be associated to the biallelic inactivation of Von Hippel-Lindau (VHL) gene which causes aberrant hypoxia inducible factor (HIF) accumulation. Recently, next generation-sequencing technologies have provided the bases for an in-depth molecular characterization of ccRCC, identifying additional recurrently mutated genes, such as PBRM1 (≈40-50%), SETD2 (≈12%), or BAP1 (≈10%). PBRM1, the second most common mutated gene in ccRCC after VHL, is a component of the SWI/SNF chromatin remodeling complex. Different studies have investigated the biological consequences and the potential role of PBRM1 alterations in RCC prognosis and as a drug response modulator, although some results are contradictory. In the present article, we review the current evidence on PBRM1 as potential prognostic and predictive marker in both localized and metastatic RCC.
eng
PBRM1
biomarker
polybromo-1
predictive role
prognosis
renal cell carcinoma
Prognostic and Predictive Value of PBRM1 in Clear Cell Renal Cell Carcinoma
journal article
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PrognosticandPredictiveValueofPBRM1_2019.pdf
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https://repisalud.isciii.es/bitstreams/a0d56b80-f442-46eb-950b-fe35b55d84e5/download
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PrognosticandPredictiveValueofPBRM1_2019.pdf.txt