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      Renal cell tumors with clear cell histology and intact VHL and chromosome 3p: a histological review of tumors from the Cancer Genome Atlas database

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          Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal.

          The cBioPortal for Cancer Genomics (http://cbioportal.org) provides a Web resource for exploring, visualizing, and analyzing multidimensional cancer genomics data. The portal reduces molecular profiling data from cancer tissues and cell lines into readily understandable genetic, epigenetic, gene expression, and proteomic events. The query interface combined with customized data storage enables researchers to interactively explore genetic alterations across samples, genes, and pathways and, when available in the underlying data, to link these to clinical outcomes. The portal provides graphical summaries of gene-level data from multiple platforms, network visualization and analysis, survival analysis, patient-centric queries, and software programmatic access. The intuitive Web interface of the portal makes complex cancer genomics profiles accessible to researchers and clinicians without requiring bioinformatics expertise, thus facilitating biological discoveries. Here, we provide a practical guide to the analysis and visualization features of the cBioPortal for Cancer Genomics.
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            The somatic genomic landscape of chromophobe renal cell carcinoma.

            We describe the landscape of somatic genomic alterations of 66 chromophobe renal cell carcinomas (ChRCCs) on the basis of multidimensional and comprehensive characterization, including mtDNA and whole-genome sequencing. The result is consistent that ChRCC originates from the distal nephron compared with other kidney cancers with more proximal origins. Combined mtDNA and gene expression analysis implicates changes in mitochondrial function as a component of the disease biology, while suggesting alternative roles for mtDNA mutations in cancers relying on oxidative phosphorylation. Genomic rearrangements lead to recurrent structural breakpoints within TERT promoter region, which correlates with highly elevated TERT expression and manifestation of kataegis, representing a mechanism of TERT upregulation in cancer distinct from previously observed amplifications and point mutations.
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              Alterations in VHL as potential biomarkers in renal-cell carcinoma.

              Germ line mutations in the VHL tumor-suppressor gene cause von Hippel-Lindau (VHL) disease, a hereditary neoplastic disease associated with clear-cell renal-cell carcinomas (ccRCCs), central nervous system hemangioblastomas and pheochromocytomas. Disruption of VHL, by somatic mutation, hypermethylation of its promoter or chromosomal loss, is also seen in the majority of cases of sporadic ccRCC. The protein product of VHL, pVHL, has multiple functions, the best-documented of which relates to its ability to target hypoxia-inducible factors (HIFs) for polyubiquitination and proteasomal degradation through its role in substrate recognition as part of a ubiquitin ligase complex. Consequently, pVHL-defective ccRCCs overexpress mRNAs that are under the transcriptional control of HIF. Drugs that modulate the downstream targets of the pVHL/HIF pathway, including sunitinib, sorafenib, temsirolimus and bevacizumab, have proven benefit in treating ccRCC. In VHL disease, clear evidence supports strong genotype-phenotype correlations, but the situation in sporadic ccRCC is less clear. Data indicate that VHL alterations have a potential role as prognostic and predictive markers in ccRCC. Future clinical trials should prospectively define the VHL alteration status of study participants so that the true utility of such markers can be determined.
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                Author and article information

                Journal
                Modern Pathology
                Mod Pathol
                Springer Nature
                0893-3952
                1530-0285
                July 21 2017
                July 21 2017
                :
                :
                Article
                10.1038/modpathol.2017.72
                bec6274e-ff0b-4678-91f6-198b3e85b626
                © 2017
                History

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