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Genetic susceptibility to bone and soft tissue sarcomas: a field synopsis and meta-analysis
BACKGROUND: The genetic architecture of bone and soft tissue sarcomas susceptibility is yet to be elucidated. We aimed to comprehensively collect and meta-analyze the current knowledge on genetic susceptibility in these rare tumors. METHODS: We conducted a systematic review and meta-analysis of the...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5915097/ https://www.ncbi.nlm.nih.gov/pubmed/29719630 http://dx.doi.org/10.18632/oncotarget.24719 |
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author | Benna, Clara Simioni, Andrea Pasquali, Sandro De Boni, Davide Rajendran, Senthilkumar Spiro, Giovanna Colombo, Chiara Virgone, Calogero DuBois, Steven G. Gronchi, Alessandro Rossi, Carlo Riccardo Mocellin, Simone |
author_facet | Benna, Clara Simioni, Andrea Pasquali, Sandro De Boni, Davide Rajendran, Senthilkumar Spiro, Giovanna Colombo, Chiara Virgone, Calogero DuBois, Steven G. Gronchi, Alessandro Rossi, Carlo Riccardo Mocellin, Simone |
author_sort | Benna, Clara |
collection | PubMed |
description | BACKGROUND: The genetic architecture of bone and soft tissue sarcomas susceptibility is yet to be elucidated. We aimed to comprehensively collect and meta-analyze the current knowledge on genetic susceptibility in these rare tumors. METHODS: We conducted a systematic review and meta-analysis of the evidence on the association between DNA variation and risk of developing sarcomas through searching PubMed, The Cochrane Library, Scopus and Web of Science databases. To evaluate result credibility, summary evidence was graded according to the Venice criteria and false positive report probability (FPRP) was calculated to further validate result noteworthiness. Integrative analysis of genetic and eQTL (expression quantitative trait locus) data was coupled with network and pathway analysis to explore the hypothesis that specific cell functions are involved in sarcoma predisposition. RESULTS: We retrieved 90 eligible studies comprising 47,796 subjects (cases: 14,358, 30%) and investigating 1,126 polymorphisms involving 320 distinct genes. Meta-analysis identified 55 single nucleotide polymorphisms (SNPs) significantly associated with disease risk with a high (N=9), moderate (N=38) and low (N=8) level of evidence, findings being classified as noteworthy basically only when the level of evidence was high. The estimated joint population attributable risk for three independent SNPs (rs11599754 of ZNF365/EGR2, rs231775 of CTLA4, and rs454006 of PRKCG) was 37.2%. We also identified 53 SNPs significantly associated with sarcoma risk based on single studies. Pathway analysis enabled us to propose that sarcoma predisposition might be linked especially to germline variation of genes whose products are involved in the function of the DNA repair machinery. CONCLUSIONS: We built the first knowledgebase on the evidence linking DNA variation to sarcomas susceptibility, which can be used to generate mechanistic hypotheses and inform future studies in this field of oncology. |
format | Online Article Text |
id | pubmed-5915097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-59150972018-05-01 Genetic susceptibility to bone and soft tissue sarcomas: a field synopsis and meta-analysis Benna, Clara Simioni, Andrea Pasquali, Sandro De Boni, Davide Rajendran, Senthilkumar Spiro, Giovanna Colombo, Chiara Virgone, Calogero DuBois, Steven G. Gronchi, Alessandro Rossi, Carlo Riccardo Mocellin, Simone Oncotarget Meta-Analysis BACKGROUND: The genetic architecture of bone and soft tissue sarcomas susceptibility is yet to be elucidated. We aimed to comprehensively collect and meta-analyze the current knowledge on genetic susceptibility in these rare tumors. METHODS: We conducted a systematic review and meta-analysis of the evidence on the association between DNA variation and risk of developing sarcomas through searching PubMed, The Cochrane Library, Scopus and Web of Science databases. To evaluate result credibility, summary evidence was graded according to the Venice criteria and false positive report probability (FPRP) was calculated to further validate result noteworthiness. Integrative analysis of genetic and eQTL (expression quantitative trait locus) data was coupled with network and pathway analysis to explore the hypothesis that specific cell functions are involved in sarcoma predisposition. RESULTS: We retrieved 90 eligible studies comprising 47,796 subjects (cases: 14,358, 30%) and investigating 1,126 polymorphisms involving 320 distinct genes. Meta-analysis identified 55 single nucleotide polymorphisms (SNPs) significantly associated with disease risk with a high (N=9), moderate (N=38) and low (N=8) level of evidence, findings being classified as noteworthy basically only when the level of evidence was high. The estimated joint population attributable risk for three independent SNPs (rs11599754 of ZNF365/EGR2, rs231775 of CTLA4, and rs454006 of PRKCG) was 37.2%. We also identified 53 SNPs significantly associated with sarcoma risk based on single studies. Pathway analysis enabled us to propose that sarcoma predisposition might be linked especially to germline variation of genes whose products are involved in the function of the DNA repair machinery. CONCLUSIONS: We built the first knowledgebase on the evidence linking DNA variation to sarcomas susceptibility, which can be used to generate mechanistic hypotheses and inform future studies in this field of oncology. Impact Journals LLC 2018-04-06 /pmc/articles/PMC5915097/ /pubmed/29719630 http://dx.doi.org/10.18632/oncotarget.24719 Text en Copyright: © 2018 Benna et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (http://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Meta-Analysis Benna, Clara Simioni, Andrea Pasquali, Sandro De Boni, Davide Rajendran, Senthilkumar Spiro, Giovanna Colombo, Chiara Virgone, Calogero DuBois, Steven G. Gronchi, Alessandro Rossi, Carlo Riccardo Mocellin, Simone Genetic susceptibility to bone and soft tissue sarcomas: a field synopsis and meta-analysis |
title | Genetic susceptibility to bone and soft tissue sarcomas: a field synopsis and meta-analysis |
title_full | Genetic susceptibility to bone and soft tissue sarcomas: a field synopsis and meta-analysis |
title_fullStr | Genetic susceptibility to bone and soft tissue sarcomas: a field synopsis and meta-analysis |
title_full_unstemmed | Genetic susceptibility to bone and soft tissue sarcomas: a field synopsis and meta-analysis |
title_short | Genetic susceptibility to bone and soft tissue sarcomas: a field synopsis and meta-analysis |
title_sort | genetic susceptibility to bone and soft tissue sarcomas: a field synopsis and meta-analysis |
topic | Meta-Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5915097/ https://www.ncbi.nlm.nih.gov/pubmed/29719630 http://dx.doi.org/10.18632/oncotarget.24719 |
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