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      Germline variants in DNA repair genes associated with hereditary breast and ovarian cancer syndrome: analysis of a 21 gene panel in the Brazilian population

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          Abstract

          Background

          The Hereditary Breast and Ovarian Cancer Syndrome (HBOC) occurs in families with a history of breast/ovarian cancer, presenting an autosomal dominant inheritance pattern. BRCA1 and BRCA2 are high penetrance genes associated with an increased risk of up to 20-fold for breast and ovarian cancer. However, only 20–30% of HBOC cases present pathogenic variants in those genes, and other DNA repair genes have emerged as increasing the risk for HBOC. In Brazil, variants in ATM, ATR, CHEK2, MLH1, MSH2, MSH6, POLQ, PTEN, and TP53 genes have been reported in up to 7.35% of the studied cases. Here we screened and characterized variants in 21 DNA repair genes in HBOC patients.

          Methods

          We systematically analyzed 708 amplicons encompassing the coding and flanking regions of 21 genes related to DNA repair pathways ( ABRAXAS1, ATM, ATR, BARD1, BRCA1, BRCA2, BRIP1, CDH1, CHEK2, MLH1, MRE11, MSH2, MSH6, NBN, PALB2, PMS2, PTEN, RAD50, RAD51, TP53 and UIMC1). A total of 95 individuals with HBOC syndrome clinical suspicion in Southeast Brazil were sequenced, and 25 samples were evaluated for insertions/deletions in BRCA1/ BRCA2 genes. Identified variants were assessed in terms of population allele frequency and their functional effects were predicted through in silico algorithms.

          Results

          We identified 80 variants in 19 genes. About 23.4% of the patients presented pathogenic variants in BRCA1, BRCA2 and TP53, a frequency higher than that identified among previous studies in Brazil. We identified a novel variant in ATR, which was predicted as pathogenic by in silico tools. The association analysis revealed 13 missense variants in ABRAXAS1, BARD1, BRCA2, CHEK2, CDH1, MLH1, PALB2, and PMS2 genes, as significantly associated with increased risk to HBOC, and the patients carrying those variants did not present large insertions or deletions in BRCA1/BRCA2 genes.

          Conclusions

          This study embodies the third report of a multi-gene analysis in the Brazilian population, and addresses the first report of many germline variants associated with HBOC in Brazil. Although further functional analyses are necessary to better characterize the contribution of those variants to the phenotype, these findings would improve the risk estimation and clinical follow-up of patients with HBOC clinical suspicion.

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          A strong candidate for the breast and ovarian cancer susceptibility gene BRCA1.

          A strong candidate for the 17q-linked BRCA1 gene, which influences susceptibility to breast and ovarian cancer, has been identified by positional cloning methods. Probable predisposing mutations have been detected in five of eight kindreds presumed to segregate BRCA1 susceptibility alleles. The mutations include an 11-base pair deletion, a 1-base pair insertion, a stop codon, a missense substitution, and an inferred regulatory mutation. The BRCA1 gene is expressed in numerous tissues, including breast and ovary, and encodes a predicted protein of 1863 amino acids. This protein contains a zinc finger domain in its amino-terminal region, but is otherwise unrelated to previously described proteins. Identification of BRCA1 should facilitate early diagnosis of breast and ovarian cancer susceptibility in some individuals as well as a better understanding of breast cancer biology.
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            The Genomic Ancestry of Individuals from Different Geographical Regions of Brazil Is More Uniform Than Expected

            Based on pre-DNA racial/color methodology, clinical and pharmacological trials have traditionally considered the different geographical regions of Brazil as being very heterogeneous. We wished to ascertain how such diversity of regional color categories correlated with ancestry. Using a panel of 40 validated ancestry-informative insertion-deletion DNA polymorphisms we estimated individually the European, African and Amerindian ancestry components of 934 self-categorized White, Brown or Black Brazilians from the four most populous regions of the Country. We unraveled great ancestral diversity between and within the different regions. Especially, color categories in the northern part of Brazil diverged significantly in their ancestry proportions from their counterparts in the southern part of the Country, indicating that diverse regional semantics were being used in the self-classification as White, Brown or Black. To circumvent these regional subjective differences in color perception, we estimated the general ancestry proportions of each of the four regions in a form independent of color considerations. For that, we multiplied the proportions of a given ancestry in a given color category by the official census information about the proportion of that color category in the specific region, to arrive at a “total ancestry” estimate. Once such a calculation was performed, there emerged a much higher level of uniformity than previously expected. In all regions studied, the European ancestry was predominant, with proportions ranging from 60.6% in the Northeast to 77.7% in the South. We propose that the immigration of six million Europeans to Brazil in the 19th and 20th centuries - a phenomenon described and intended as the “whitening of Brazil” - is in large part responsible for dissipating previous ancestry dissimilarities that reflected region-specific population histories. These findings, of both clinical and sociological importance for Brazil, should also be relevant to other countries with ancestrally admixed populations.
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              High Oct4 expression: implications in the pathogenesis of neuroblastic tumours

              Background Neuroblastic tumours (NBTs) are paediatric solid tumours derived from embryonic neural crest cells which harbour their own cancer stem cells (CSC). There is evidence indicating that CSC may be responsible for tumour progression, chemotherapy resistance and recurrence in NBTs. Oct4 is a transcription factor which plays a key role in mammal embryonic development and stem cell fate regulation. The aim of the study is to elucidate the clinical significance of Oct4 in NBTs. Methods We studied Oct4 expression in 563 primary NBTs using digital image quantification. Chi-square test was applied to analyse the correlation between histopathology and the Oct4+ cell percentage. Survival analysis was carried out with Kaplan-Meier curves and log-rank test. Additionally, a multivariate Cox regression analysis with the stepwise backwards (Wald) method was undertaken to calculate the impact of Oct4 expression level on survival. Results We found that tumours with a high proportion of cells expressing Oct4 correlated statistically with undifferentiated and poorly differentiated neuroblastoma / nodular ganglioneuroblastoma, and that Oct4 expression was not present in ganglioneuroma (p < 0.05). Statistical analysis also indicated a relationship between high Oct4 expression levels, high-risk patients according to the International Neuroblastoma Risk Group pre-treatment classification parameters, larger blood vessels and low survival rates. Conclusions These results suggest that the Oct4 gene may regulate NBT pathogenic differentiation pathways, and should thus be considered as a target for knockdown when developing novel therapies for high-risk NBT patients.
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                Author and article information

                Contributors
                wilsonjr@usp.br
                Journal
                BMC Med Genomics
                BMC Med Genomics
                BMC Medical Genomics
                BioMed Central (London )
                1755-8794
                10 February 2020
                10 February 2020
                2020
                : 13
                : 21
                Affiliations
                [1 ]ISNI 0000 0004 1937 0722, GRID grid.11899.38, Department of Genetics, Ribeirão Preto Medical School, , University of São Paulo, ; Ribeirão Preto, SP Brazil
                [2 ]ISNI 0000 0004 1937 0722, GRID grid.11899.38, Center for Medical Genomics at University Hospital of the Ribeirão Preto Medical School of University of São Paulo, ; Ribeirão Preto, SP Brazil
                [3 ]ISNI 0000 0004 1937 0722, GRID grid.11899.38, Regional Blood Center at University Hospital of the Ribeirão Preto Medical School of University of São Paulo, ; Ribeirão Preto, SP Brazil
                [4 ]ISNI 0000 0004 1937 0722, GRID grid.11899.38, Division of Internal Medicine and Geriatrics, Department of Internal Medicine, Ribeirão Preto Medical School, , University of São Paulo, ; Ribeirão Preto, SP Brazil
                [5 ]ISNI 0000 0004 0437 1183, GRID grid.413320.7, International Research, Center/CIPE, AC Camargo Cancer Center, ; Sao Paulo, SP Brazil
                [6 ]ISNI 0000 0004 0615 7498, GRID grid.427783.d, Molecular Oncology Research Center, Barretos Cancer Hospital, ; Barretos, SP Brazil
                [7 ]ISNI 0000 0001 0125 3761, GRID grid.414449.8, Laboratório de Medicina Genômica, Hospital de Clínicas de Porto Alegre, ; Porto Alegre, RS Brazil
                [8 ]Department of Medical Genetics, University Hospital of the Ribeirão Preto Medical School, Ribeirão Preto, Brazil
                Author information
                http://orcid.org/0000-0001-9364-2886
                Article
                652
                10.1186/s12920-019-0652-y
                7011249
                32039725
                d7dc12b3-0459-4e10-ab71-e738208ffff7
                © The Author(s). 2020

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 14 October 2019
                : 23 December 2019
                Funding
                Funded by: FAPESP
                Award ID: #2013/08135-2
                Funded by: CNPq
                Award ID: 141974/2015-0
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Genetics
                hboc,dna repair genes,multi-gene panel screening,next-generation sequencing,molecular diagnosis,brca1,brca2

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