Literature DB >> 35957908

Hereditary Breast Cancer in the Brazilian State of Ceará (The CHANCE Cohort): Higher-Than-Expected Prevalence of Recurrent Germline Pathogenic Variants.

Ana Carolina Leite Vieira Costa Gifoni1, Markus Andret Cavalcante Gifoni2, Camila Martins Wotroba3, Edenir Inez Palmero4, Eduardo Leite Vieira Costa5, Wellington Dos Santos6, Maria Isabel Achatz7.   

Abstract

Purpose: There is a significant lack of epidemiological data on hereditary cancer in Northeast Brazil. This is the largest study on the prevalence and mutational spectrum of cancer predisposition genes conducted in this region and the first in the State of Ceará.
Methods: Patients ≥18 years of age that were referred to CHANCE (Grupo de Câncer Hereditário do Ceará) from March 2014 to December 2020 with testing criteria for breast cancer susceptibility genes according to NCCN v.1.2021 were eligible to participate. The inclusion of patients was limited to one individual per family and to those born in the State of Ceará. All patients underwent a hereditary cancer panel testing with at least 30 genes.
Results: A total of 355 patients were included, and 97 (27.3%) carried a P/LP germline variant in 18 different genes. Among the 97 P/LP carriers, BRCA1 (31, 31.9%) and BRCA2 (25, 25.7%) were the most frequently mutated genes, followed by PALB2 (10, 10.3%), CHEK2 (7, 7.2%) and ATM (4, 4.1%). A small number of recurrent variants (detected in three or more individuals) in BRCA1, BRCA2, CHEK2 and ATM represented the majority of the P/LP variants described in this cohort.
Conclusion: In this cohort, the prevalence of L/PL was high, particularly involving the BRCA1, BRCA2, PALB2, CHEK2 and ATM genes and, to a lesser extent than expected, the TP53 gene. A high frequency of recurrent variants was also observed, for which further and larger analyses should clarify the presence of any possible founder effect. Characterizing the mutational profile of cancer predisposition genes in diverse populations may contribute to cancer prevention and therapeutic management.
Copyright © 2022 Gifoni, Gifoni, Wotroba, Palmero, Costa, dos Santos and Achatz.

Entities:  

Keywords:  ATM; BRCA1/2; CHEK2; Northeast Brazil; PALB2; breast cancer; hereditary cancer; panel testing

Year:  2022        PMID: 35957908      PMCID: PMC9361024          DOI: 10.3389/fonc.2022.932957

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   5.738


Introduction

Hereditary pathogenic variants in cancer predisposition genes account for 7 to 10% of breast cancer cases (1, 2). The recognition of these patients and families provides important benefits in multiple aspects of patient’s care, including more intensive surveillance approaches, risk-reducing surgical strategies and targeted cancer therapies (3). Hereditary Breast and Ovarian Cancer Syndrome (HBOC), the most prevalent breast cancer predisposition syndrome, is a highly penetrant autosomal dominant disorder caused by pathogenic germline variants in BRCA1/2 genes. Although breast and ovarian cancer are the core tumors in HBOC (4), BRCA1/2 mutations are also associated with other malignancies such as fallopian tube, peritoneal (5), prostate (6) and pancreatic cancer (7). Clinical management of HBOC has long been established, with solid benefits of risk reducing strategies especially related to bilateral salpingo-oophorectomy (8). Other high and moderate penetrance genes included in multigene panels have been identified as predisposing to breast and ovarian cancer. Variants in at least 6 of these - PALB2, ATM, CHEK2, BARD1, RAD51C, RAD51D - are significantly associated with hereditary breast cancer (9, 10). More research is needed to determine the magnitude of cancer risk and the cancer spectrum of each of these genes (11). Moreover, further data will also help to clarify the value of surveillance and risk-reducing strategies and therefore current guidelines may change to accommodate new data as our understanding of these cancer predisposition syndromes expands. It is increasingly clear that the knowledge of the population-specific mutational spectrum in cancer predisposition genes may contribute to better public policy choices and to improve cancer treatment. There is limited information about the epidemiology of hereditary cancer in Brazil (12), and most of the studies published to date come from the Southeast/South of the country (13). CHANCE (Grupo de Câncer Hereditário do Ceará) is a multidisciplinary group founded in 2013 as the first center of care, education and research on hereditary cancer in Ceará, one of the most populated Northeastern States in Brazil. The primary objective of the current study is to describe the epidemiological profile of hereditary breast cancer in the CHANCE cohort.

Patients and Methods

Study Population

Patients ≥18 years of age that were referred to CHANCE from March 2014 to December 2020 with testing criteria for breast cancer susceptibility genes according to National Comprehensive Cancer Network (NCCN) guidelines (version 1.2021) were eligible to participate. Informed consent for clinical testing was obtained for every patient. The inclusion of patients was limited to one individual per family and to those born in the State of Ceará. Clinical data, including age at cancer diagnosis and cancer family history, were obtained at pre-test genetic counseling evaluation. This information was anonymized and managed using REDCap electronic data capture tools. This study was approved by the local Ethics Committee.

Procedures

Saliva or peripheral blood samples was collected and referred for molecular evaluation with an hereditary cancer panel at a College of American Pathology certified laboratory (mainly Genomika, Color Genomics and Invitae), chosen according to the financial possibilities or the health insurance coverage of each patient. The genes included in NGS panel varied by laboratory, ranging in number from 30 to 84 genes. In all cases, those definitely associated with hereditary predisposition to breast and gynecological cancer (ATM, BARD1, BRCA1, BRCA2, BRIP1, CDH1, CHEK2, DICER1, EPCAM, MLH1, MSH2, MSH6, NF1, PALB2, PMS2, PTEN, RAD51C, RAD51D, STK11, TP53) were analyzed.

Statistical Analysis

Clinical characteristics of the CHANCE cohort, along with the molecular testing results, were tabulated. In order to explore the influence of distinct clinical scenarios on genetic test yield, which could lead to the recognition of priority criteria for molecular evaluation, this study also examined the association of specific NCCN criteria with a positive (P/LP variant) genetic test result. Descriptive statistics including medians, means and standard deviations with 95% confidence intervals was made by Mann Whitney (Wilcoxon rank sum) test. Categorical variables were analyzed by Fisher Exact or Chi-square test as appropriate. P values less than 0.05 were considered statistically significant. All statistical analyses were performed with the statistical programs R, version 4.1.0 (the CRAN project [http://cran.r-project.org]) and GraphPad Prism version 9.3.1 350.

Results

A total of 736 probands born in the State of Ceará were referred to CHANCE for genetic counseling on hereditary cancer between 2014 and 2020 and of these, 516 (516/736 - 70.1%) met at least one NCCN testing criteria for breast and ovarian cancer susceptibility genes. Of this sample, 355 underwent genetic testing with hereditary cancer panel and were included in the study. The majority of patients were female (94.2%) and 75,7% had a personal history of cancer, mainly breast (80%) and ovarian cancer (13%). The median age at the primary cancer diagnosis was 45 years ( ).
Table 1

Clinical characteristics of patients with breast or ovarian cancer in the CHANCE cohort.

Clinical CharacteristicsN%
Index Patients
Breast Cancer21579.9
Ovarian Cancer3513.0
Breast and Ovarian Cancer62.2
Breast Cancer and other155.6
Age at first diagnosis (years)
≤ 4513153.4
46-607430.2
> 603413.8
Not provided62.6
Sex
Female25394.0
Male166.0
Bilateral Breast Cancer
Yes134.8
No25695.2
Breast Cancer Subtype (IHC/receptor status)
ER+ PR+ HER2-8139.5
ER-, PR-, HER2+42,0
Triple positive136.3
Triple Negative3316.1
Not provided (any)7436.1
First or second-degree relative with Breast or Ovarian Cancer
Yes17063.1
No7327.1
Not provided269.8
First or second-degree relative with any cancer
Yes19973.9
No4416.3
Not provided269.8
Clinical characteristics of patients with breast or ovarian cancer in the CHANCE cohort.

Genetic Testing Results

Among all 355 patients, 97 (27.3%) carried a pathogenic or likely pathogenic (P/LP) germline variant in 18 different genes including high penetrant breast cancer genes - BRCA1 (31, 8.7%), BRCA2 (25, 7.0%), PALB2 (10, 2.8%) and TP53 (1, 0.28%); moderate-penetrant breast cancer genes - CHEK2 (7, 1.9%), ATM (4, 1.1%), BARD1 (2, 0.56%), RAD51C (1, 0.28%) and RAD51D (1, 0.28%); and genes without an established association with breast cancer predisposition (15, 4.2%): PMS2 (4, 1.1%), MUTYH (3, 0.8%), MEN1 (2, 0.56%), NTHL1 (1, 0.28%), RAD50 (1, 0.28%), SDHA (1, 0.28%), SUFU (1, 0.28%), DICER1 (1, 0.28%) and BLM1 (1, 0.28%) ( ). The association between specific scenarios from the NCCN testing criteria and the detection of P/LP variants was not statistically significant for age, primary tumor type, or family history of cancer ( ).
Figure 1

Oncoplot with P/LP variants: variants types and frequencies according to age at first diagnosis and primary tumor site.

Table 2

Association between personal and family criteria for genetic testing and the finding of P/LP germline variants.

Number of Patients
Clinical CriteriaTotal Cohort BRCA1
Negative result P/LP variant P Negative result P/LP variant
N (Total) 2589732431
Age ≤ 45 (%) 134 (51.9)52 (53.6)0.872168 (51.9)18 (58.1)
Type of Cancer
Breast Cancer (%)154 (59.7)61 (62.9)0.669194 (59.9)21 (67.7)
Ovarian Cancer (%)22 (8.5)13 (13.4)0.24128 (8.6)7 (22.6)
Breast and Ovarian Cancer (%)2 (0.8)4 (4.1)0.0864 (1.2)2 (6.5)
Personal history of any cancer (%)195 (75.6)74 (76.3)1.000243 (75.0)26 (83.9)
Family History of Breast or Ovarian Cancer 0.327
No (%)56 (21.7)21 (21.6)71 (21.9)6 (19.4)
Not available (%)17 (6.6)11 (11.3)22 (6.8)6 (19.4)
Yes (%)185 (71.7)65 (67.0)231 (71.3)19 (61.3)
Family History of Cancer 0.154
No (%)29 (11.2)15 (15.5)36 (11.1)8 (25.8)
Not available (%)17 (6.6)11 (11.3)22 (6.8)6 (19.4)
Yes (%)212 (82.2)71 (73.2)266 (82.1)17 (54.8)
(%)
Clinical Criteria BRCA2
P Negative result P/LP variant P
N (Total) 33025
Age ≤ 45 (%) 0.636169 (51.2)17 (68.0)0.158
Type of Cancer
Breast Cancer (%)0.507196 (59.4)19 (76.0)0.154
Ovarian Cancer (%)0.03031 (9.4)4 (16.0)0.471
Breast and Ovarian Cancer (%)0.1554 (1.2)2 (8.0)0.083
Personal history of any cancer (%)0.378248 (75.2)21 (84.0)0.451
Family History of Breast or Ovarian Cancer 0.0460.263
No (%)73 (22.1)4 (16.0)
Not available (%)24 (7.3)4 (16.0)
Yes (%)233 (70.6)17 (68.0)
Family History of Cancer 0.0100.294
No (%)41 (12.4)3 (12.0)
Not available (%)24 (7.3)4 (16.0)
Yes (%)265 (80.3)18 (72.0)
Oncoplot with P/LP variants: variants types and frequencies according to age at first diagnosis and primary tumor site. Association between personal and family criteria for genetic testing and the finding of P/LP germline variants. At least one variant of uncertain significance (VUS) was identified in 107 (30.1%) patients, with 20 having two VUS, 7 having three VUS and 2 having four VUS. The highest frequency of VUS was observed in BRCA2 and ATM. None of the VUS was detected in more than two individuals in this cohort ( ).

Mutational Profile

Among the 97 P/LP carriers, BRCA1 (31, 31.9%), BRCA2 (25, 25.7%) were the most frequently mutated genes, followed by PALB2 (10, 10.3%), CHEK2 (7, 7.2%) and ATM (4, 4.1%). The mutational profile is shown in .
Figure 2

P/LP variants per gene in CHANCE cohort.

P/LP variants per gene in CHANCE cohort. A small number of recurrent variants (detected in three or more individuals) in BRCA1, BRCA2, CHEK2 and ATM represented the majority of the P/LP variants described in this cohort ( ). Two recurrent variants accounted for 64.5% of all P/LP variants reported in BRCA1, the frameshift alteration c.3331_3334del in exon 11 representing 38.7% (n=12) and c.5074+2T>C corresponding to 25.8% (n=8). Among carriers of BRCA2 P/LP variants, the recurrent variant c.4808del was identified in 56% (n=14) and c.4005dup in 16% (n=4) of the cases. The Europeanfounder CHEK2 recurrent variant c.349A>G accounted for 66.6% (n=4) of the P/LP CHEK2 variants, and the other 33.3% corresponded to another recurrent variant, c.846+1G>C (n=3). All carriers of P/LP variants in the ATM gene (n=4) had the same partial deletion encompassing exons 27-29.
Figure 3

P/LP variants in five most frequently mutated genes.

P/LP variants in five most frequently mutated genes. Of note, the only patient with Li-Fraumeni syndrome in this cohort had the c.743G>C variant in the TP53 gene. The Brazilian variant R337H was not described in this cohort.

Discussion

This is the largest study that reports on the spectrum and frequency of P/LP variants in breast cancer patients who underwent multigene panel in the State of Ceará, Brazil. The most valuable contribution of this study is the suggestion of a distinctive genetic architecture of hereditary predisposition to breast cancer in the State of Ceará compared to the rest of the country. Notably, it points to a very relevant role of recurrent variants in genes such as BRCA1, BRCA2, CHEK2 and ATM and a minor contribution of the Brazilian founder variant R337H in TP53 gene. The prevalence of P/LP variants in this cohort was 27.3% (97/355), higher than that described in the most recent studies using multigene panel testing in the Brazilian population. Recent data from diverse regions of the country estimated a detection rate of P/LP variants of 16.9% in the Northern (14); 20.8% in the Northeast (15), 20.5% in the Central-west (16) and 23.4% in Southern Brazil (17). Also, in the largest nationwide cohort of Brazilian breast cancer patients, the prevalence of germline P/LP variants was 20.1% (18). Unlike the studies cited, many with consecutive samples, our cohort has the bias of representing only high-risk patients who met NCCN criteria for genetic testing. Thus, the patient selection may account for the higher prevalence of P/LP variants in this cohort, although some previous data question the ability of the NCCN guidelines to identify a breast cancer population enriched with pathogenic variants in expanded panel testing (19). In this cohort, there was no statistically significant association between any specific NCCN criteria scenarios and the detection of a P/LP variant. This suggests that the individual weights of each criterion appear to be equivalent, and that the sum of one or more criteria does not seem to predict a greater chance of a positive result. Pathogenic germline variants in this cohort were distributed among 18 different genes, with a relevant contribution of actionable non-BRCA genes, suggesting that molecular investigation in Brazilian patients fulfilling NCCN criteria should preferably be done with multigene panel testing. Sixty-nine percent (67/97) of the patients with a positive test result harbored a P/LP in high-penetrance breast cancer genes (32% in BRCA1, 25.7% in BRCA2, 10.3% in PALB2 and 1% in TP53) and 15.4% (15/97) in moderate-penetrant breast cancer genes (7.2% in CHEK2, 4.1% in ATM, 2% in BARD1, 1% in RAD51C and 1% in RAD51D). Overall, 57.7% (56/97) of the patients with a positive test result had BRCA1/2 P/LP variants and 21% (26/97) had variants in non-BRCA genes. Cancer risks and management approaches are well-defined for women with P/LP in high penetrance cancer syndrome genes, especially for BRCA1/2 and TP53, enabling early diagnosis and improved overall survival (3, 20, 21). For genes that confer modest degree of risk, the best practices, including timing and effectiveness of interventions, although incompletely defined, are addressed in internacional guidelines (22). The predominance of BRCA1/2 P/LP variants in this study is in agreement with the literature. Also in accordance with previous published data, the three most frequently mutated non-BRCA1/2 genes in this study were PALB2, CHEK2 and ATM (2, 10). However, more recent Brazilian data described a distinct distribution of P/LP variants, with a much more relevant prevalence of variants in TP53 and MUTYH genes than identified in this cohort. In the nationwide study, TP53 was the third most frequently mutated gene (10.5% of P/LP variants), and MUTYH the fourth (9.9% of P/LP variants) (18). Although the nationwide analysis includes patients from all Brazilian regions, more than half of the tests were from patients who inhabited the Southeast region of Brazil. The results of the present study may reflect the high degree of genetic admixture among Brazilian populations and highlight the importance of the epidemiological description of cancer predisposition syndromes in specific populations. At the same time that the findings from this study pointed to multigene panel as the preferential method of assessing inherited risk in this population, it also raised challenges that reinforce the critical role of genetic counseling in this process. First, P/LP variants in genes without an established association with breast cancer predisposition were found in 15.4% of the patients with a positive test result (4.1% in PMS2, 3% in MUTYH, 2% in MEN1, and 1% in NTHL1, RAD50, SDHA, SUFU, DICER1 and BLM1), equivalent to 4.2% of the overall study population. In these scenarios, genetic counseling should attempt to identify in which clinical situations these variants are just incidental findings, when they should be meaningful and how they should interfere in personalized management of the patient and the family. In addition, the frequency of VUS in this study was 30.1%, similar to that expected for panels with at least 30 genes (23). In these situations, genetic counseling seeks to interpret the molecular finding in the context of the personal and family phenotype, and plays an essential role in avoiding inappropriate management. The most relevant finding in the mutational profile of this cohort was the high prevalence of recurrent variants in BRCA1, BRCA2, ATM and CHEK2, a pattern that justifies further investigation of possible founder effects. Also noteworthy was the absence of the Brazilian variant R337H in the TP53 gene. In BRCA1, there were two recurrent variants in this study (c.3331_3334del and c.5074+2T>C). The most prevalent one was c.3331_3334del, corresponding to 38.7% of the BRCA1 P/LP variants. This frameshift alteration was previously described as the second most commonly identified pathogenic BRCA1 variant in Brazil (13), was originated in Iberia and was later introduced to Colombia and South America at the time of Spanish colonization (24). The second most prevalent BRCA1 P/LP variant described in this cohort was c.5074+2T>C, corresponding to 25.8% of the cases. In the largest comprehensive description of the spectrum of germline BRCA mutations in Brazil, c.5074+2T>C was detected in 14/441 individuals with BRCA1 mutations (3,1%) (13). In the recently published nationwide cohort, this variant was not considered recurrent (18). Thus, when compared to the rest of the country, this cohort of patients from the state of Ceará seems to be enriched of this variant. In contrast, the founder Ashkenazi Jew pathogenic variant c.5266dupC, considered the most frequent BRCA1 variant in the Brazilian population by several studies and representing 20% of the BRCA1 variants reported by Palmero etal. (13), was identified in only 2 individuals in this study, corresponding to 6.4% of the P/LP BRCA1 variants. The small representation of this variant in the population of this study, from the Northeast Brazil, may be related to the fact that the immigration of Ashkenazi Jews from Central Europe during the 19th century occurred particularly to the Southeast and South regions of the country, where the mutation is nowadays more frequently described (25, 26). In BRCA2, there was a high prevalence of the recurrent variant c.4808delA, accounting for 56% of all BRCA2 P/LP variants. Previous studies have not identified such a significant role for a specific variant in the BRCA2 gene. In Palmero’s study, with 208 individuals with P/LP mutations in BRCA2, 103 different mutations were described. The most prevalent was the variant c.2808_2811delACAA, reaching 9.6% of cases, and the c.4808del variant accounted for only 1.4% of BRCA2 P/LP variants. The c.4808del variant was also not relevant in other Brazilian studies. (16–18, 27). Also, in the CIMBA (Consortium of Investigators of Modifiers of BRCA1/2) publication that assembled data on 29,700 families with BRCA1/2 mutations from 49 countries, c.4808delA was not included in the group of the 10 most frequently observed BRCA2 mutations from any race/ethnicity or from any of the 6 continents (28). The differential burden of the c.4808del variant in BRCA2 gene in the state of Ceará is likely due to differences in structure across populations but a deeper explanation of its origin and distribution remains uncharacterized. In CHEK2, two recurrent P/LP variants were identified (c.349A>G and c.846+1G>C). The most frequent one, c.349A>G (57.1%, 4/7), well described in the European population, is considered recurrent in Portugal (29). The variant c.846+1G>C was described in 3/7 patients from this study (42.8%). Both variants were previously reported in a small number in Brazil (16). In ATM, all 4 patients shared the variant c.3994-1418_4267, also knows as Deletion (Exons 27-29), for which the prevalence and geographical distribution in populations has not yet been well studied. In Brazil, there is a higher than the global incidence of Li-Fraumeni syndrome due to the presence of the founder mutation in the TP53 gene (30), c.1010G>A;p.Arg337His (p.R337H), which occurs at a frequency of 0.3% in the South and Southeast of the country (31). This high prevalence is consistently seen in studies of hereditary predisposition to breast cancer. Recently, TP53 represented the third most commonly mutated gene among breast cancer Brazilian patients, and the R337H variant was responsible for 70.3% of all P/LP TP53 variants identified (18). According to the results of the present study, Li-Fraumeni syndrome seems to play a smaller role in cancer predisposition in the State of Ceará, and the Brazilian founder TP53 variant R337H was not identified in any patients from this cohort. There is a hypothesis that the R337H allele was introduced in Brazil by Portuguese immigrants in the first four decades of the 1700s, progressing along transit routes that became known as the “Tropeiro roads” (32). Possibly, the low prevalence of R337H in this cohort is related to the significant distance between Ceará and this geographical area.

Conclusion

In summary, to our knowledge, this is the largest study to describe the epidemiological profile of hereditary breast cancer in patients from the State of Ceará with criteria for hereditary predisposition to cancer and undergoing investigation with a multigene panel. In this cohort, the prevalence of L/PL was high, particularly involving the BRCA1, BRCA2, PALB2, CHEK2 and ATM genes and, to a lesser extent than expected, the TP53 gene. A high frequency of recurrent variants was also observed, for which further and larger analyses should clarify the presence of any possible founder effect. This study reinforces the importance of characterizing the mutational profile of cancer predisposition genes in diverse populations.

Data Availability Statement

‘The original contributions presented in the study are included in the article/ . Further inquiries can be directed to the corresponding author.

Ethics Statement

The studies involving human participants were reviewed and approved by São Carlos Hospital Ethics Committee (Plataforma Brasil Protocol n. 4.474.595). The patients/participants provided their written informed consent to participate in this study.

Author Contributions

Conceptualization: AG and MA. Data curation: AG, MG and CW. Formal analysis: AG, MG and EC. Investigation: AG and CW. Methodology: AG, MG, CW, MA, EC, EP, and WdS. Supervision: AG and MA. Writing: AG, MG, and EC. All authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
  32 in total

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Journal:  Sci Rep       Date:  2022-03-09       Impact factor: 4.379

8.  Breast Cancer Risk Genes - Association Analysis in More than 113,000 Women.

Authors:  Leila Dorling; Sara Carvalho; Jamie Allen; Anna González-Neira; Craig Luccarini; Cecilia Wahlström; Karen A Pooley; Michael T Parsons; Cristina Fortuno; Qin Wang; Manjeet K Bolla; Joe Dennis; Renske Keeman; M Rosario Alonso; Nuria Álvarez; Belen Herraez; Victoria Fernandez; Rocio Núñez-Torres; Ana Osorio; Jeanette Valcich; Minerva Li; Therese Törngren; Patricia A Harrington; Caroline Baynes; Don M Conroy; Brennan Decker; Laura Fachal; Nasim Mavaddat; Thomas Ahearn; Kristiina Aittomäki; Natalia N Antonenkova; Norbert Arnold; Patrick Arveux; Margreet G E M Ausems; Päivi Auvinen; Heiko Becher; Matthias W Beckmann; Sabine Behrens; Marina Bermisheva; Katarzyna Białkowska; Carl Blomqvist; Natalia V Bogdanova; Nadja Bogdanova-Markov; Stig E Bojesen; Bernardo Bonanni; Anne-Lise Børresen-Dale; Hiltrud Brauch; Michael Bremer; Ignacio Briceno; Thomas Brüning; Barbara Burwinkel; David A Cameron; Nicola J Camp; Archie Campbell; Angel Carracedo; Jose E Castelao; Melissa H Cessna; Stephen J Chanock; Hans Christiansen; J Margriet Collée; Emilie Cordina-Duverger; Sten Cornelissen; Kamila Czene; Thilo Dörk; Arif B Ekici; Christoph Engel; Mikael Eriksson; Peter A Fasching; Jonine Figueroa; Henrik Flyger; Asta Försti; Marike Gabrielson; Manuela Gago-Dominguez; Vassilios Georgoulias; Fabian Gil; Graham G Giles; Gord Glendon; Encarna B Gómez Garcia; Grethe I Grenaker Alnæs; Pascal Guénel; Andreas Hadjisavvas; Lothar Haeberle; Eric Hahnen; Per Hall; Ute Hamann; Elaine F Harkness; Jaana M Hartikainen; Mikael Hartman; Wei He; Bernadette A M Heemskerk-Gerritsen; Peter Hillemanns; Frans B L Hogervorst; Antoinette Hollestelle; Weang Kee Ho; Maartje J Hooning; Anthony Howell; Keith Humphreys; Faiza Idris; Anna Jakubowska; Audrey Jung; Pooja Middha Kapoor; Michael J Kerin; Elza Khusnutdinova; Sung-Won Kim; Yon-Dschun Ko; Veli-Matti Kosma; Vessela N Kristensen; Kyriacos Kyriacou; Inge M M Lakeman; Jong Won Lee; Min Hyuk Lee; Jingmei Li; Annika Lindblom; Wing-Yee Lo; Maria A Loizidou; Artitaya Lophatananon; Jan Lubiński; Robert J MacInnis; Michael J Madsen; Arto Mannermaa; Mehdi Manoochehri; Siranoush Manoukian; Sara Margolin; Maria Elena Martinez; Tabea Maurer; Dimitrios Mavroudis; Catriona McLean; Alfons Meindl; Arjen R Mensenkamp; Kyriaki Michailidou; Nicola Miller; Nur Aishah Mohd Taib; Kenneth Muir; Anna Marie Mulligan; Heli Nevanlinna; William G Newman; Børge G Nordestgaard; Pei-Sze Ng; Jan C Oosterwijk; Sue K Park; Tjoung-Won Park-Simon; Jose I A Perez; Paolo Peterlongo; David J Porteous; Karolina Prajzendanc; Darya Prokofyeva; Paolo Radice; Muhammad U Rashid; Valerie Rhenius; Matti A Rookus; Thomas Rüdiger; Emmanouil Saloustros; Elinor J Sawyer; Rita K Schmutzler; Andreas Schneeweiss; Peter Schürmann; Mitul Shah; Christof Sohn; Melissa C Southey; Harald Surowy; Maija Suvanto; Somchai Thanasitthichai; Ian Tomlinson; Diana Torres; Thérèse Truong; Maria Tzardi; Yana Valova; Christi J van Asperen; Rob M Van Dam; Ans M W van den Ouweland; Lizet E van der Kolk; Elke M van Veen; Camilla Wendt; Justin A Williams; Xiaohong R Yang; Sook-Yee Yoon; M Pilar Zamora; D Gareth Evans; Miguel de la Hoya; Jacques Simard; Antonis C Antoniou; Åke Borg; Irene L Andrulis; Jenny Chang-Claude; Montserrat García-Closas; Georgia Chenevix-Trench; Roger L Milne; Paul D P Pharoah; Marjanka K Schmidt; Amanda B Spurdle; Maaike P G Vreeswijk; Javier Benitez; Alison M Dunning; Anders Kvist; Soo H Teo; Peter Devilee; Douglas F Easton
Journal:  N Engl J Med       Date:  2021-01-20       Impact factor: 91.245

Review 9.  Recommendations for Advancing the Diagnosis and Management of Hereditary Breast and Ovarian Cancer in Brazil.

Authors:  Maria Isabel Achatz; Maira Caleffi; Rodrigo Guindalini; Renato Moretti Marques; Angelica Nogueira-Rodrigues; Patricia Ashton-Prolla
Journal:  JCO Glob Oncol       Date:  2020-03

10.  The CHEK2 Variant C.349A>G Is Associated with Prostate Cancer Risk and Carriers Share a Common Ancestor.

Authors:  Andreia Brandão; Paula Paulo; Sofia Maia; Manuela Pinheiro; Ana Peixoto; Marta Cardoso; Maria P Silva; Catarina Santos; Rosalind A Eeles; Zsofia Kote-Jarai; Kenneth Muir; Johanna Schleutker; Ying Wang; Nora Pashayan; Jyotsna Batra; Henrik Grönberg; David E Neal; Børge G Nordestgaard; Catherine M Tangen; Melissa C Southey; Alicja Wolk; Demetrius Albanes; Christopher A Haiman; Ruth C Travis; Janet L Stanford; Lorelei A Mucci; Catharine M L West; Sune F Nielsen; Adam S Kibel; Olivier Cussenot; Sonja I Berndt; Stella Koutros; Karina Dalsgaard Sørensen; Cezary Cybulski; Eli Marie Grindedal; Jong Y Park; Sue A Ingles; Christiane Maier; Robert J Hamilton; Barry S Rosenstein; Ana Vega; Manolis Kogevinas; Fredrik Wiklund; Kathryn L Penney; Hermann Brenner; Esther M John; Radka Kaneva; Christopher J Logothetis; Susan L Neuhausen; Kim De Ruyck; Azad Razack; Lisa F Newcomb; Davor Lessel; Nawaid Usmani; Frank Claessens; Manuela Gago-Dominguez; Paul A Townsend; Monique J Roobol; Manuel R Teixeira
Journal:  Cancers (Basel)       Date:  2020-11-04       Impact factor: 6.639

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