Literature DB >> 29053726

Prevalence of deleterious germline variants in risk genes including BRCA1/2 in consecutive ovarian cancer patients (AGO-TR-1).

Philipp Harter1, Jan Hauke2,3, Florian Heitz1, Alexander Reuss4, Stefan Kommoss5, Frederik Marmé6, André Heimbach7, Katharina Prieske8, Lisa Richters2,3, Alexander Burges9, Guido Neidhardt2,3, Nikolaus de Gregorio10, Ahmed El-Balat11, Felix Hilpert12,13, Werner Meier14, Rainer Kimmig15, Karin Kast16,17,18, Jalid Sehouli19, Klaus Baumann20,21, Christian Jackisch22, Tjoung-Won Park-Simon23, Lars Hanker24, Sandra Kröber2,3, Jacobus Pfisterer25, Heidrun Gevensleben26, Andreas Schnelzer27, Dimo Dietrich28, Tanja Neunhöffer29, Mathias Krockenberger30, Sara Y Brucker5, Peter Nürnberg31,32,33, Holger Thiele32, Janine Altmüller31,32, Josefin Lamla34, Gabriele Elser34, Andreas du Bois1, Eric Hahnen2,3, Rita Schmutzler2,3.   

Abstract

BACKGROUND: Identification of families at risk for ovarian cancer offers the opportunity to consider prophylactic surgery thus reducing ovarian cancer mortality. So far, identification of potentially affected families in Germany was solely performed via family history and numbers of affected family members with breast or ovarian cancer. However, neither the prevalence of deleterious variants in BRCA1/2 in ovarian cancer in Germany nor the reliability of family history as trigger for genetic counselling has ever been evaluated.
METHODS: Prospective counseling and germline testing of consecutive patients with primary diagnosis or with platinum-sensitive relapse of an invasive epithelial ovarian cancer. Testing included 25 candidate and established risk genes. Among these 25 genes, 16 genes (ATM, BRCA1, BRCA2, CDH1, CHEK2, MLH1, MSH2, MSH6, NBN, PMS2, PTEN, PALB2, RAD51C, RAD51D, STK11, TP53) were defined as established cancer risk genes. A positive family history was defined as at least one relative with breast cancer or ovarian cancer or breast cancer in personal history.
RESULTS: In total, we analyzed 523 patients: 281 patients with primary diagnosis of ovarian cancer and 242 patients with relapsed disease. Median age at primary diagnosis was 58 years (range 16-93) and 406 patients (77.6%) had a high-grade serous ovarian cancer. In total, 27.9% of the patients showed at least one deleterious variant in all 25 investigated genes and 26.4% in the defined 16 risk genes. Deleterious variants were most prevalent in the BRCA1 (15.5%), BRCA2 (5.5%), RAD51C (2.5%) and PALB2 (1.1%) genes. The prevalence of deleterious variants did not differ significantly between patients at primary diagnosis and relapse. The prevalence of deleterious variants in BRCA1/2 (and in all 16 risk genes) in patients <60 years was 30.2% (33.2%) versus 10.6% (18.9%) in patients ≥60 years. Family history was positive in 43% of all patients. Patients with a positive family history had a prevalence of deleterious variants of 31.6% (36.0%) versus 11.4% (17.6%) and histologic subtype of high grade serous ovarian cancer versus other showed a prevalence of deleterious variants of 23.2% (29.1%) and 10.2% (14.8%), respectively. Testing only for BRCA1/2 would miss in our series more than 5% of the patients with a deleterious variant in established risk genes.
CONCLUSIONS: 26.4% of all patients harbor at least one deleterious variant in established risk genes. The threshold of 10% mutation rate which is accepted for reimbursement by health care providers in Germany was observed in all subgroups analyzed and neither age at primary diagnosis nor histo-type or family history sufficiently enough could identify a subgroup not eligible for genetic counselling and testing. Genetic testing should therefore be offered to every patient with invasive epithelial ovarian cancer and limiting testing to BRCA1/2 seems to be not sufficient.

Entities:  

Mesh:

Year:  2017        PMID: 29053726      PMCID: PMC5650145          DOI: 10.1371/journal.pone.0186043

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Ovarian cancer is the leading cause of death of all gynecologic cancers both in the European Union and the United States [1]. In the US, 22,280 patients were diagnosed in 2016 for ovarian cancer and 14,240 died [2]. Despite improvements in chemotherapy [3,4,5] and surgery [6,7] still most patients relapse and finally die of disease. A decade ago, it was estimated that about 10–15% of all patients have a hereditary risk for ovarian cancer [8,9]. The first identified predisposition genes were BRCA1 and BRCA2 with a lifetime penetrance regarding ovarian cancer of 35–59% (BRCA1) and 11–17% (BRCA2), respectively [10,11,12,13]. Unfortunately, several trials which tried to establish a successful screening for ovarian cancer failed [14]. The development of a serous tubal intraepithelial carcinoma (STIC) as a precursor lesion in the fallopian tube with the potential to metastasize within the peritoneal cavity before a solid tumor in the pelvis can be detected, might be one reason for the trial failures [15,16]. Consequently, the majority of patients is diagnosed at an advanced stage with the above-mentioned mortality. So far, the only effective method to reduce the mortality is risk-reducing surgery including bilateral salpingo-oophorectomy (rrBSO) [17]. As rrBSO cannot be recommend to the general population, identification of population at risk might help to identify those women in whom the benefit of rrBSO may outweight it’s burden. Identifying families with deleterious BRCA1/2 variants might provide this opportunity. So far, we did not know how many family members must be affected before we can assume an elevated risk for their relatives and especially, if one affected member already qualifies for genetic testing. A further hurdle is the decreasing number of family members in Germany over decades and more recently the increase of so-called blended families. In Germany and in most other countries, genetic testing of patients with ovarian cancer is limited to patients with a family history of breast and/or ovarian cancer. The aim of this study was to investigate the prevalence of genetic risk factors in consecutive patients with ovarian cancer irrespective of family history and histologic subtype treated in centers of the Arbeitsgemeinschaft Gynäkologische Onkologie (AGO) study group. In addition, we wanted to evaluate patient satisfaction with gynecological oncology counseling.

Methods

Patients

The protocol was approved by the ethical committee of the Landesaerztekammer Nordrhein (Nr. 2014340) and registered (NCT02222883); all patients gave written informed consent prior to any study related procedure. Patients aged at least 18 years with primary diagnosis or platinum-sensitive relapse of invasive epithelial ovarian cancer in Germany were tested and counselled in 20 centers of the AGO study group in Germany. Platinum sensitive disease was defined as relapse at least 6 months after prior platinum based chemotherapy. It was allowed to include patients up to 6 months after last platinum dose and patients with more than one prior platinum line. We excluded patients with non-epithelial ovarian malignancy and those with a platinum-free interval of less than 6 months. Demographic data, disease characteristics, family history, and medical history were documented. Further follow up of the patients is planned for 5 years and will be reported later. A positive family history was defined as at least one relative with breast cancer or ovarian cancer or breast cancer in personal history. This means, that also patients with the diagnosis of breast cancer in personal history and now the additional diagnosis of ovarian cancer were classified as having a positive family history.

Gene selection

Germline testing was centrally performed at the Center of Hereditary Breast and Ovarian Cancer at the University of Cologne, Germany. Testing included 25 established and candidate risk genes related to ovarian and/or breast cancer or rare cancer predisposition syndromes (ATM, BARD1, BRCA1, BRCA2, BRIP1, BUB1B, CDH1, CHEK1, CHEK2, FAM175A, FANCM, MLH1, MSH2, MSH6, MRE11A, NBN, PMS2, PTEN, PALB2, RAD50, RAD51C, RAD51D, STK11, TP53, XRCC2). Among these 25 genes, 16 were defined as as established cancer “risk genes”, including the Lynch syndrome-associated genes (MLH1, MSH2, MSH6, PMS2), genes causative for rare cancer predisposition syndromes (CDH1, PTEN, STK11, TP53), and genes known to contribute to hereditary breast and/or ovarian cancer risk, namely ATM, BRCA1, BRCA2, CHEK2, NBN, PALB2, RAD51C and RAD51D [18,19,20,21,22]. For the remaining 9 genes, only limited evidence is available so far for BUB1B, BARD1, BRIP1, CHEK1, FANCM, FAM175A, MRE11A, RAD50 and XRCC2 [23,24,25,26,27,28]. BUB1B and CHEK1 were included because deleterious variants in both genes have been described in ovarian cancer patients [29]. We classified the analyzed genes in 3 different categories: BRCA1/BRCA2 (group A), 16 risk genes (group B) and all 25 genes (group C).

Genetic analyses

Genomic DNA was isolated from venous blood samples using standard methods. All samples were screened for gross genomic aberrations in the BRCA1/2 genes by Multiplex Ligation-dependent Probe Amplification (MLPA) using the SALSA® MLPA® probemixes P002 (BRCA1) and P045 (BRCA2) (MRC-Holland, Amsterdam, The Netherlands) according to the manufacturers protocol. Data was analysed using the Coffalyzer.Net v.140429.1057 software (MRC-Holland). All BRCA1/2 deletions/duplications were verified using the SALSA® MLPA® probemixes P087 (BRCA1) or P077 (BRCA2), respectively (MRC-Holland). All samples were subsequently analyzed by next generation sequencing (NGS) covering the entire coding regions and exon-flanking sequences (±15nt) of the 25 above-mentioned genes. For NGS, we employed a customer-tailored SureSelect gene panel (Agilent, Santa Clare, U.S.) using the XT Target Enrichment for Illumina Paired-End Multiplexed Sequencing protocol optimized for 200ng of genomic DNA (Agilent). Sequencing was performed on MiSeq or HiSeq4000 devices (Illumina, San Diego, U.S.). Bioinformatic analyses were carried out using the VARBANK version 2.10 pipeline of the Cologne Center for Genomics. In addition, the obtained NGS data were utilized to identify LGRs (large genomic rearrangements) in non BRCA1/2 genes using an in silico CNV-Tool incorporated in the Sophia DDM® platform (Sophia Genetics). Conspicuous regions indicative for a duplication or deletion were verified using an appropriate SALSA® MLPA® probemix, if available (MRC-Holland) or by aCGH (Array comparative genomic hybridization) using a customized probe set covering the regions of interest (Agilent).

Variant classification

Variant classification was performed in accordance with the regulations of the international ENIGMA consortium (Evidence-based Network for the Interpretation of Germline Mutant Alleles; https://enigmaconsortium.org; version 1.1: 26th of March 2015). All genetic variants were classified using a 5-tier variant classification system as proposed by the International Agency for Research on Cancer (IARC) Unclassified Genetic Variants Working Group, namely, deleterious = class 5, likely deleterious = class 4, variant of uncertain significance (VUS) = class 3, likely benign = class 2, and benign = class 1 [30]. Variants reported to occur in large outbred control reference groups at an allele frequency ≥1% (MAF ≥ 0.01) are generally considered to be benign (class 1). Class 4/5 variants are subsequently denominated as ´deleterious variants´. All deleterious variants were validated by Sanger sequencing.

Counselling

Counselling was performed by gynecologic oncologists according to local standard and we evaluated the patient perspectives and satisfaction regarding testing and counseling by a survey. Patients had a BRCA elucidation before testing by their treating gynecologic oncologist and in case of a positive result a subsequent counselling by a gynecologic oncologist or geneticist depending on the local standard. The patients were asked the following questions after testing: Finden Sie es gut, dass Ihnen eine Beratung und Testung bzgl. ihres familiären Risikos angeboten wurde? (Did you appreciate that counselling and testing regarding your family risk was offered to you?) Waren Sie mit der Beratung zufrieden? (Were you satisfied with the counselling?) Waren Sie mit der Ergebnismitteilung zufrieden? (Were you satisfied with how the result was communicated?)

Statistical methods

The protocol stated a target sample size of 500 patients. No formal power analysis was performed. The primary objectives were to assess the prevalence of deleterious germline variants in the investigated genes. All analyses are merely descriptive; no confirmatory hypothesis testing was done. The prevalence was calculated as number of patients with at least one deleterious variant in the respective genes or gene categories divided by all tested patients. SAS version 9.4 was used for all statistical analyses. Further details are provided in the study protocol (S1 study protocol and S1 Trend Statement Checklist)

Results

In total, 525 patients were registered and blood was sent for testing in 523 cases including 281 patients with primary ovarian cancer and 242 with relapsed platinum-sensitive ovarian cancer between 3/2015 and 7/2015 (Table 1). The majority of the patients were of White/Caucasian/European heritage (96.8%) followed by White/Arabic/North African heritage with 1.3%. Other ethnicities were more infrequent (< 0.5%). The mean age at primary diagnosis of all patients was 58 years, 43% had a positive family history and 77.6% showed a high-grade serous ovarian cancer (Table 1). In total, 146 of 523 patients (27.9%) showed a deleterious variant in at least one of the investigated genes (S1 Table), of which 9 patients carried two deleterious germline variants (S2 Table). In the overall sample, 109 patients carried a deleterious variant in BRCA1, BRCA2, or both genes (Table 2, S1 and S2 Tables). In this subgroub of 109 patients with deleterious BRCA1/2 variants, 6 carried deleterious variants in further genes investigated in this study (Table 2). Deleterious germline variants in BRCA1 were most abundant (81 patients, 15.5%), followed by BRCA2 (29 patients, 5.5%), RAD51C (13 patients, 2.5%) and PALB2 (6 patients, 1.1%). Deleterious variants in all other genes analyzed were identified in less than 1% of the patients each (Table 2). The combined analysis showed the following prevalence of deleterious veriants for the respective categories: BRCA1/2: 20.8% (group A, 109 patients); risk genes: 26.4% (group B, 138 patients); all genes: 27.9% (group C, 146 patients). The number of patients with at least one deleterious vatiant in any gene (group C) was slightly though not statistically significantly higher in the relapsed versus the primary diagnosis cohort (21.4% [76 of 242] versus 24.9% [70 of 281]; two-sided chi-square p = 0.1).
Table 1

Patient characteristics.

VariableAll (n = 523)
Age (mean, range) [years]58 (16–93)
Positive family history (%)225 (43.0)
Histologic subtype (%)
 High grade serous406 (77.6)
 High grade endometrioid23 (4.4)
 Low grade serous18 (3.4)
 Low grade endometrioid7 (1.3)
 Clear cell6 (1.1)
 Mucinous9 (1.7)
 Others/unspecified45 (8.6)
 Missing9 (1.7)
Timepoint of inclusion
 Primary ovarian cancer281 (53.7)
 Recurrent ovarian cancer242 (46.3)
Table 2

Prevalence of deleterious variants in the selected genes.

No deleterious variants were observed in BARD1, CDH1, MLH1, PMS2, PTEN, STK11 and TP53.

Genes / gene categoriesPatients, (% of all; n = 523)
BRCA1/2 (group A)109 (20.8)
risk genes (group B)138 (26.4)
any gene (group C)146 (27.9)
Group A (109 patients)
BRCA1 only78 (15.0)
BRCA1 and NBN1 (0.2)
BRCA1 and XRCC21 (0.2)
BRCA1 and BRCA21 (0.2)
BRCA2 only24 (4.6)
BRCA2 and FANCM2 (0.4)
BRCA2 and RAD501 (0.2)
BRCA2 and BUB1B1 (0.2)
Group B (138 patients)
BRCA1/2 carriers109 (20.8)
RAD51C only13 (2.5)
PALB2 only5 (1.0)
PALB2 and ATM1 (0.2)
ATM only1 (0.2)
RAD51D only3 (0.6)
MSH2 only2 (0.4)
CHEK2 and BRIP11 (0.2)
CHEK2 only1 (0.2)
NBN only1 (0.2)
MSH6 only1 (0.2)
Group C (146 patients)
risk genes (group B)138 (25.8)
FANCM only3 (0.6)
MRE11A only2 (0.4)
CHEK1 only1 (0.2)
FAM175A only1 (0.2)
BRIP1 only1 (0.2)

Prevalence of deleterious variants in the selected genes.

No deleterious variants were observed in BARD1, CDH1, MLH1, PMS2, PTEN, STK11 and TP53. Furthermore, we analyzed the prevalence of deleterious variants by different subgroups regarding age (< versus ≥ 60 years), family history (positive versus negative) and histologic subtypes (high-grade serous versus others). All analyses in all subgroups showed a prevalence of deleterious BRCA1/2 variants above 10.0%. The highest prevalence of deleterious BRCA1/2 variants was 30.2% in patients below the age of 60 years at primary diagnosis and 31.6% with a positive family history, respectively. Of note, 33/109 patients (30.3%) with deleterious BRCA1/2 variants would have been missed by using the classical criteria family history. This rate increases to missing 51/138 patients (37%) regarding the 16 risk genes as defined in our series. However, the threshold frequency of 10% that qualifies for reimbursement of consultation and testing was observed in every subgroup analyzed and even analysis per decade of patients’ age did not identify any subgroup with a lower rate of deleterious variants—unfortunately, we were not able to analyze patients in their octogenarium who are underrepresented in our trial with 11 patients only. The prevalence of deleterious variants in the 16 risk genes ranged from 14.8% (patients with a histologic subtype other than HGS, Table 3) to 36.0% (patients with a positive family history, Table 3) and the prevalence of deleterious variants in any of the investigated genes from 16.7 (patients with a histologic subtype other than HGS, Table 3) to 36.4% (patients with a positive family history, Table 3). The number of patients with non high-grade serous histologic subtypes was limited, however, deleterious BRCA1/2 variants were also detected in non high grade serous histo-types. Twenty-three patients had high-grade endometrioid histology. This subtype showed a prevalence of deleterious variants in the BRCA1/2 genes of 13%, 21.7% had a deleterious variant in at least one of the 16 risk genes. Furthermore, we had 18 patients with low-grade serous histology (deleterious variant in BRCA1/2: 5.6%, risk gene: 11.1%, any gene: 16.7%). All other known histologic subtypes included less than 10 patients (Table 4). The rate of deleterious variants in the Lynch-associated genes (MSH2, MSH6, MLH1, PMS2) was 0.6% (3 patients; 2 MSH2-positive patients, 1 with high grade serous and 1 with high-grade endometrial subtype; 1 MSH6-positive patient with high-grade serous subtype).
Table 3

Prevalence of deleterious variants within subgroups.

SubgroupnBRCA1/2 positiven (%)risk genesn (%)any genen (%)
All (%)523109 (20.8)138 (26.4)146 (27.9)
Age*
 < 60 years26881 (30.2)89 (33.2)94 (35.1)
 ≥ 60 years25427 (10.6)48 (18.9)51 (20.1)
Family history
 Positive22571 (31.6)81 (36.0)82 (36.4)
 Negative28933 (11.4)51 (17.6)58 (20.1)
Histologic subtype*
 High grade serous (HGS)40694 (23.2)118 (29.1)123 (30.3)
 other10811 (10.2)16 (14.8)18 (16.7)
Within subset of HGS
 Primary diagnosis20346 (22.7)54 (26.6)57 (28.1)
 Relapse20348 (23.6)64 (31.5)66 (32.5)

* Age class was missing for 1 patient; histologic subtype was missing for 9 patients.

Table 4

Histologic subtypes and prevalence of deleterious variants in patients with serous, endometrioid, mucinous or clear cell ovarian cancer.

Histologic subtypenBRCA1/2 positiven (%)risk gene positiven (%)any genen (%)
High grade serous40694 (23.2)118 (29.1)123 (30.3)
Low grade serous181 (5.6)2 (11.1)3 (16.7)
High grade endometrioid233 (13.0)5 (21.7)5 (21.7)
Low grade endometrioid71 (14.3)1 (14.3)1 (14.3)
Mucinous9001 (11.11)
Clear cell6000
* Age class was missing for 1 patient; histologic subtype was missing for 9 patients. The compliance with the survey was high and the rate of responders for each of the questions was 80.9% each (“Did you appreciate that counselling and testing regarding your family risk was offered to you?” and “Were you satisfied with the counselling?”) and 66.2% (“Were you satisfied with how the result was communicated?”). Question 1 (Did you appreciate that counselling and testing regarding your family risk was offered to you?) was answered with “yes” by 98.4%, question 2 (Were you satisfied with the counselling?) by 93.9% and question 3 (Were you satisfied with how the result was communicated?) by 97.4% of the participating patients. The corresponding rates for “No” were 0.5%, 3.2%, and 1.2%, respectively. The rates of “I don’t know” were 1.2%, 2.9% and 1.2%, respectively.

Discussion

Our data indicate that a genetic background regarding the development of ovarian cancer is present in a higher proportion of patients than anticipated in the past. The strength of our trial is the testing of consecutive unselected patients with ovarian cancer in a multicenter setting. The rate of patients with deleterious variants in BRCA1/2 was about 21% without any meaningful difference between patients with first diagnosis or relapsed disease. This is in line with other recent publications reporting a rate of BRCA1/2 carriers of about 16–19% [23, 31,32]. One of the main questions for the future is therefore, how we could prevent about 1/5 of all ovarian cancer cases. According to the National Institute for Health and Care Excellence (NICE), genetic BRCA1/2 testing is generally recommended when the combined probability to detect a deleterious BRCA1 and BRCA2 variant is ≥ 10% [27]. Thus, age at onset and family history were the main selection criteria to identify suitable index patients for genetic testing to identify families at risk. However, this resulted in multiple different guidelines regarding selection criteria differing between the countries and medical societies [33]. Family history and age at onset are only of limited value to identify patients at genetic risk. This was already reported by other authors [34,35,36,37,38]. Using traditional criteria might miss about one third of all patients with a hereditary risk regarding BRCA1/2. In our cohort, 33/109 patients (30.28%) with deleterious variants in BRCA1/2 would have been missed by using only classical criteria like family history. This rate increases to missing 51/138 patients (37%) regarding the 16 risk genes as defined in our series. Disease modifiers that are independent from BRCA1/2, de novo mutations, or limited family structures may explain the finding that a subgroup of BRCA1/2-positive patients with ovarian cancer did not show a positive family history. A limitation of our series is the limited number of patients with other histologic subtypes than high-grade serous ovarian cancer. Unfortunately, we have only less than 10 patients with a mucinous or clear cell histologic subtype. Therefore, we are not able to give an appropriate answer regarding the rate of deleterious variants in this subtype. Of note, we reported already the finding of deleterious BRCA1/2 variants in patients with clear cell and mucinous ovarian cancer within an international multicenter first line therapy trial [31]. Whether this finding was by chance or revealed indeed the driver alterations for ovarian cancers remains an open question. In addition, the changed classification of the histologic subtypes in ovarian cancer in 2014 has to be kept in mind as further potential factor. Within a large multicenter study, it was shown that reviewing the pathologic samples by an expert gynecologic pathologist using the old and new classification system results in diagnosing the same histologic subtype again in only 54% [39]. In accordance to another recent presentation, we could also show that gynecologic oncologist led testing shows a high level of satisfaction in patients with ovarian cancer [40]. In conclusion, the limited value of any supporting instruments to identify families at risk of ovarian cancer highlights the necessity to offer germline testing to all patients with ovarian cancer. This is so far the only option we have, to identify families at risk for the usually fatal course of the disease of ovarian cancer. Offering prophylactic surgery in BRCA1/2-positive women is the only effective option to decrease ovarian cancer mortality. Therefore, Scotland established offering genetic testing to all patients with non-mucinous histologies of ovarian cancer already in 2013 [41]. The results of our study were already discussed with German health care providers and the Medizinische Dienst der Krankenkassen (MDK), which led to offering testing to all patients with ovarian cancer up to the age of 80 years who were covered by the Verband der Ersatzkassen in Germany in October 2016. Negotiations with further health care providers are ongoing. (PDF) Click here for additional data file. (PDF) Click here for additional data file.

Deleterious heterozygous germline variants.

(DOCX) Click here for additional data file.

Patients carrying two deleterious variants.

(DOCX) Click here for additional data file.
  34 in total

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4.  Contribution of BRCA1 mutations to ovarian cancer.

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Authors:  Swantje Piszczan; Dawit Desalegn; Hezkiel Petros; Mengistu Gurmu; Eric Sven Kroeber; Adamu Addissie; Rafael Mikolajczyk; Rahel G Ghebre; Assefa Mathewos; Christoph Thomssen; Ahmedin Jemal; Eva Johanna Kantelhardt
Journal:  Oncologist       Date:  2019-04-25

4.  Clonal Hematopoiesis-Associated Gene Mutations in a Clinical Cohort of 448 Patients With Ovarian Cancer.

Authors:  Konstantin Weber-Lassalle; Corinna Ernst; Alexander Reuss; Kathrin Möllenhoff; Klaus Baumann; Christian Jackisch; Jan Hauke; Dimo Dietrich; Julika Borde; Tjoung-Won Park-Simon; Lars Hanker; Katharina Prieske; Sandra Schmidt; Nana Weber-Lassalle; Esther Pohl-Rescigno; Stefan Kommoss; Frederik Marmé; Florian Heitz; Julia C Stingl; Rita K Schmutzler; Philipp Harter; Eric Hahnen
Journal:  J Natl Cancer Inst       Date:  2022-04-11       Impact factor: 13.506

5.  Multi-omics data integration analysis identifies the spliceosome as a key regulator of DNA double-strand break repair.

Authors:  Dana Sherill-Rofe; Oded Raban; Steven Findlay; Dolev Rahat; Irene Unterman; Arash Samiei; Amber Yasmeen; Zafir Kaiser; Hellen Kuasne; Morag Park; William D Foulkes; Idit Bloch; Aviad Zick; Walter H Gotlieb; Yuval Tabach; Alexandre Orthwein
Journal:  NAR Cancer       Date:  2022-04-08

6.  Long-term survival of a BRCA2 mutation carrier following second ovarian cancer relapse using PARPi therapy: A case report.

Authors:  Kathrin Bredow; Britta Blümcke; Stephanie Schneider; Michael Püsken; Rita Schmutzler; Kerstin Rhiem
Journal:  Mol Clin Oncol       Date:  2022-07-21

7.  Recommendation and Acceptance of Counselling for Familial Cancer Risk in Newly Diagnosed Breast Cancer Cases.

Authors:  Karin Kast; Julia Häfner; Evelin Schröck; Arne Jahn; Carmen Werner; Cornelia Meisel; Pauline Wimberger
Journal:  Breast Care (Basel)       Date:  2021-06-17       Impact factor: 2.268

Review 8.  Risk-Adjusted Cancer Screening and Prevention (RiskAP): Complementing Screening for Early Disease Detection by a Learning Screening Based on Risk Factors.

Authors:  Rita K Schmutzler; Björn Schmitz-Luhn; Bettina Borisch; Peter Devilee; Diana Eccles; Per Hall; Judith Balmaña; Stefania Boccia; Peter Dabrock; Günter Emons; Wolfgang Gaissmaier; Jacek Gronwald; Stefanie Houwaart; Stefan Huster; Karin Kast; Alexander Katalinic; Sabine C Linn; Sowmiya Moorthie; Paul Pharoah; Kerstin Rhiem; Tade Spranger; Dominique Stoppa-Lyonnet; Johannes Jozef Marten van Delden; Marc van den Bulcke; Christiane Woopen
Journal:  Breast Care (Basel)       Date:  2021-08-12       Impact factor: 2.268

Review 9.  Quality and Quantity: How to Organize a Countrywide Genetic Counseling and Testing.

Authors:  Rita Katharina Schmutzler
Journal:  Breast Care (Basel)       Date:  2021-05-07       Impact factor: 2.860

Review 10.  Differences in Ovarian and Other Cancers Risks by Population and BRCA Mutation Location.

Authors:  Masayuki Sekine; Koji Nishino; Takayuki Enomoto
Journal:  Genes (Basel)       Date:  2021-07-08       Impact factor: 4.096

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