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Minervini G, Quaglia F, Tabaro F, Tosatto SCE. Insights into the molecular features of the von Hippel-Lindau-like protein. Amino Acids 2019; 51:1461-1474. [PMID: 31485743 DOI: 10.1007/s00726-019-02781-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 08/28/2019] [Indexed: 12/19/2022]
Abstract
We present an in silico characterization of the von Hippel-Lindau-like protein (VLP), the only known human paralog of the von Hippel-Lindau tumor suppressor protein (pVHL). Phylogenetic investigation showed VLP to be mostly conserved in upper mammals and specifically expressed in brain and testis. Structural analysis and molecular dynamics simulations show VLP to be very similar to pVHL three-dimensional organization and binding dynamics. In particular, conservation of elements at the protein interfaces suggests VLP to be a functional pVHL homolog potentially possessing multiple functions beyond HIF-1α-dependent binding activity. Our findings show that VLP may share at least seven interactors with pVHL, suggesting novel functional roles for this understudied human protein. These may occur at precise hypoxia levels where functional overlap with pVHL may permit a finer modulation of pVHL functions.
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Affiliation(s)
- Giovanni Minervini
- Department of Biomedical Sciences, University of Padova, Viale G. Colombo 3, 35121, Padua, Italy
| | - Federica Quaglia
- Department of Biomedical Sciences, University of Padova, Viale G. Colombo 3, 35121, Padua, Italy
| | - Francesco Tabaro
- Department of Biomedical Sciences, University of Padova, Viale G. Colombo 3, 35121, Padua, Italy.,Institute of Biosciences and Medical Technology, Tampere, Finland
| | - Silvio C E Tosatto
- Department of Biomedical Sciences, University of Padova, Viale G. Colombo 3, 35121, Padua, Italy. .,CNR Institute of Neuroscience, Padua, Italy.
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Reinbolt RE, Sonis S, Timmers CD, Fernández-Martínez JL, Cernea A, de Andrés-Galiana EJ, Hashemi S, Miller K, Pilarski R, Lustberg MB. Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm. Cancer Med 2017; 7:240-253. [PMID: 29168353 PMCID: PMC5773952 DOI: 10.1002/cam4.1256] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Revised: 10/05/2017] [Accepted: 10/13/2017] [Indexed: 02/06/2023] Open
Abstract
Many breast cancer (BC) patients treated with aromatase inhibitors (AIs) develop aromatase inhibitor‐related arthralgia (AIA). Candidate gene studies to identify AIA risk are limited in scope. We evaluated the potential of a novel analytic algorithm (NAA) to predict AIA using germline single nucleotide polymorphisms (SNP) data obtained before treatment initiation. Systematic chart review of 700 AI‐treated patients with stage I‐III BC identified asymptomatic patients (n = 39) and those with clinically significant AIA resulting in AI termination or therapy switch (n = 123). Germline DNA was obtained and SNP genotyping performed using the Affymetrix UK BioBank Axiom Array to yield 695,277 SNPs. SNP clusters that most closely defined AIA risk were discovered using an NAA that sequentially combined statistical filtering and a machine‐learning algorithm. NCBI PhenGenI and Ensemble databases defined gene attribution of the most discriminating SNPs. Phenotype, pathway, and ontologic analyses assessed functional and mechanistic validity. Demographics were similar in cases and controls. A cluster of 70 SNPs, correlating to 57 genes, was identified. This SNP group predicted AIA occurrence with a maximum accuracy of 75.93%. Strong associations with arthralgia, breast cancer, and estrogen phenotypes were seen in 19/57 genes (33%) and were functionally consistent. Using a NAA, we identified a 70 SNP cluster that predicted AIA risk with fair accuracy. Phenotype, functional, and pathway analysis of attributed genes was consistent with clinical phenotypes. This study is the first to link a specific SNP/gene cluster to AIA risk independent of candidate gene bias.
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Affiliation(s)
- Raquel E Reinbolt
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Stephen Sonis
- Primary Endpoint Solutions, Watertown, Massachusetts.,Brigham and Women's Hospital and the Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Cynthia D Timmers
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | | | - Ana Cernea
- Primary Endpoint Solutions, Watertown, Massachusetts.,University of Oviedo, Oviedo, Spain
| | | | - Sepehr Hashemi
- Primary Endpoint Solutions, Watertown, Massachusetts.,Harvard School of Dental Medicine, Boston, Massachusetts
| | - Karin Miller
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Robert Pilarski
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Maryam B Lustberg
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
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Kim H, Greenald D, Vettori A, Markham E, Santhakumar K, Argenton F, van Eeden F. Zebrafish as a model for von Hippel Lindau and hypoxia-inducible factor signaling. Methods Cell Biol 2017; 138:497-523. [DOI: 10.1016/bs.mcb.2016.07.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
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Banks RE, Tirukonda P, Taylor C, Hornigold N, Astuti D, Cohen D, Maher ER, Stanley AJ, Harnden P, Joyce A, Knowles M, Selby PJ. Genetic and epigenetic analysis of von Hippel-Lindau (VHL) gene alterations and relationship with clinical variables in sporadic renal cancer. Cancer Res 2006; 66:2000-11. [PMID: 16488999 DOI: 10.1158/0008-5472.can-05-3074] [Citation(s) in RCA: 201] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Genetic and epigenetic changes in the von Hippel-Lindau (VHL) tumor suppressor gene are common in sporadic conventional renal cell carcinoma (cRCC). Further insight into the clinical significance of these changes may lead to increased biological understanding and identification of subgroups of patients differing prognostically or who may benefit from specific targeted treatments. We have comprehensively examined the VHL status in tissue samples from 115 patients undergoing nephrectomy, including 96 with sporadic cRCC. In patients with cRCC, loss of heterozygosity was found in 78.4%, mutation in 71%, and promoter methylation in 20.4% of samples. Multiplex ligation-dependent probe amplification identified intragenic copy number changes in several samples including two which were otherwise thought to be VHL-noninvolved. Overall, evidence of biallelic inactivation was found in 74.2% of patients with cRCC. Many of the mutations were novel and approximately two-thirds were potentially truncating. Examination of these and other published findings confirmed mutation hotspots affecting codons 117 and 164, and revealed a common region of mutation in codons 60 to 78. Gender-specific differences in methylation and mutation were seen, although not quite achieving statistical significance (P = 0.068 and 0.11), and a possible association between methylation and polymorphism was identified. No significant differences were seen between VHL subgroups with regard to clinicopathologic features including stage, grade, tumor size, cancer-free and overall survival, with the exception of a significant association between loss of heterozygosity and grade, although a possible trend for survival differences based on mutation location was apparent.
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Affiliation(s)
- Rosamonde E Banks
- Cancer Research UK Clinical Centre, St. James's University Hospital, Leeds, United Kingdom.
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