Article Text

Short report
Pathogenic variant detection rate varies considerably in male breast cancer families and sporadic cases: minimal additional contribution beyond BRCA2, BRCA1 and CHEK2
  1. D Gareth Evans1,
  2. George J Burghel2,
  3. Sacha J Howell3,4,
  4. Sarah Pugh5,
  5. Claire Forde6,
  6. Anthony Howell7,
  7. Fiona Lalloo8,
  8. Emma Roisin Woodward9
  1. 1Genomic Medicine, MAHSC, Manchester, UK
  2. 2Genomic Diagnostic Laboratory, Manchester University NHS Foundation Trust, Manchester, UK
  3. 3Wythenshawe Hospital Manchester Universities Foundation Trust, Wythenshawe, UK
  4. 4Manchester Academic Health Science Centre, Manchester, UK
  5. 5Manchester University Hospitals NHS Foundation Trust, Manchester, UK
  6. 6Clinical Genetics Service, Central Manchester University Hospitals NHS Foundation Trust, Manchester, UK
  7. 7Prevent Breast Cancer Centre, Manchester, UK
  8. 8Clinical Genetics Service, Manchester Centre for Genomic Medicine, Central Manchester University Hospitals NHS Foundation Trust, Manchester, UK
  9. 9Manchester Centre for Genomic Medicine, Central Manchester NHS Foundation Trust, Manchester, UK
  1. Correspondence to Professor D Gareth Evans, Genomic Medicine, MAHSC, Manchester, UK; gareth.d.evans{at}manchester.ac.uk

Abstract

Background Male breast cancer (MBC) affects around 1 in 1000 men and is known to have a higher underlying component of high and moderate risk gene pathogenic variants (PVs) than female breast cancer, particularly in BRCA2. However, most studies only report overall detection rates without assessing detailed family history.

Methods We reviewed germline testing in 204 families including at least one MBC for BRCA1, BRCA2, CHEK2 c.1100DelC and an extended panel in 93 of these families. Individuals had MBC (n=118), female breast cancer (FBC)(n=80), ovarian cancer (n=3) or prostate cancer-(n=3). Prior probability of having a BRCA1/2 PV was assessed using the Manchester Scoring System (MSS).

Results In the 204 families, BRCA2 was the major contributor, with 51 (25%) having PVs, followed by BRCA1 and CHEK2, with five each (2.45%) but no additional PVs identified, including in families with high genetic likelihood on MSS. Detection rates were 85.7% (12/14) in MSS ≥40 and 65.5% with MSS 30–39 but only 12.8% (6/47) for sporadic breast cancer. PV rates were low and divided equally between BRCA1/2 and CHEK2.

Conclusion As expected, BRCA2 PVs predominate in MBC families with rates 10-fold those in CHEK2 and BRCA1. The MSS is an effective tool in assessing the likelihood of BRCA1/2 PVs.

  • Molecular Epidemiology
  • Men's Health
  • Human Genetics
  • Genetic Testing
  • Genetic Counseling
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Introduction

Since the identification of the BRCA1 and BRCA2 genes, germline pathogenic and likely pathogenic variants, herein collectively termed PVs, have been associated with increased risks of breast cancer in both men and women. The cumulative breast cancer risk at age 80 years is about 72% and 69% for female BRCA1 and BRCA2 PV carriers, respectively, whereas it is around 0.4% and 4% for males, respectively.1 2 More recently, extended gene panels that include additional breast cancer genes have been employed. Two recent large case control studies CARRIERS in the USA3 and BRIDGES mainly in Europe4 identified six additional genes with actionable increased risks of breast cancer with ORs of around twofold to threefold (RAD51C, RAD51D, BARD1, ATM, CHEK2) and one at fourfold to fivefold (PALB2). A number of studies have assessed an extended panel in large series of male breast cancer (MBC) but these have not assessed detection rates by strength of family history.5–8 We have updated our work on MBC cases and MBC families9 to include more testing in sporadic cases of MBC with no personal or family history of the relevant cancers and increased the overall sample size from 68 to 204.

Patients and methods

Families with breast cancer from the North-West of England (population~5.5 million) have been tested for BRCA1/2 PVs since 1996 in the Manchester Centre for Genomic Medicine. People who attend the specialist genetic clinics in Manchester with a personal or family history of breast cancer have a detailed family tree elicited with all first-degree, second-degree and, if possible, third-degree relatives recorded including age and details of related cancers (breast, ovarian, prostate, pancreas).

Families with at least one confirmed MBC were eligible for genetic testing as long as the MBC case or a first degrre relative of the MBC case with a relevant cancer was tested. Non-male breast cancer cases were eligible as long as they had developed breast, ovarian, or prostate cancer and were a first degree relative of a MBC case. Sporadic MBC were defined as men affected with breast cancer with 1st or 2nd degree relatives without a personal history of breast, ovarian, prostate or pancreatic cancer. Samples from individuals with a relevant cancer from 204 apparently unrelated families with a confirmed MBC underwent genetic testing. The 204 comprised index individuals with MBC (n=118), female breast cancer (FBC) (n=80), ovarian cancer (n=3) and prostate cancer (n=3).

DNA was extracted from lymphocytes and tested using a combination of targeted sequencing and multiplex ligation-dependent probe amplification for all genes assessed.10 All participants underwent testing of BRCA1, BRCA2 and CHEK2 c.1100delC. Additional testing was performed in 93 cases with an extended panel including full screening of CHEK2, ATM, PALB2, RAD51C and RAD51D for samples since 2020 (n=51) and retrospectively for samples with high Manchester scores and negative BRCA1/2 testing (n=42). Between 2018 and 2020, a bespoke in-house Manchester panel could be ordered which included CDH1, BARD1 and BRIP1. Additional research testing was carried out on BRIP1 and for lobular breast cancer cases for CDH1.

The Manchester Scoring System (MSS) was employed to evaluate the likelihood of a PV in BRCA1 and BRCA2 combined.11 The MSS provides a points score to each cancer in the individual and direct family lineage and adjusts for tumour pathology including a score of minus 6 points for HER2+ breast cancer and plus 6 for grade 3 triple negative breast cancer (online supplemental table 1).11 An MSS of 15–19 equates to a 10% likelihood of a BRCA1/2 PV, and MSS 20–24 to a 20% likelihood, with an MSS≥40 equivalent to a >75% likelihood.11

Supplemental material

Statistical analyses using χ2 Fisher’s exact tests were conducted for two by two comparisons. Median and IQR were calculated in Excel.

Results

Samples from individuals with a relevant cancer from 204 apparently unrelated families with a confirmed MBC underwent genetic testing. PVs in BRCA2 were identified in 51 out of 204 (25%) individuals overall (19/118 (16%) MBC, 30/80 (37.5%) FBC, 1/3 prostate cancer, 1/3 ovarian cancer). The mean MSS for MBC was 17.1 (median=15; IQR=12–19) compared with 27.5 (median=25; IQR=19–31.5) for female cases. Excluding the 47 sporadic MBCs, the detection rate in MBC was 18 out of 71 (25%), with a mean MSS of 21.4 (median=19; IQR=16–25). For the sporadic MBC cases, only 3 out of 47 had PVs in BRCA1/2 with the same proportion having a CHEK2 c.1100delC PV. Surprisingly, there was no effect of early age at onset for BRCA2 with both PVs in sporadic cases occurring at age >60, with one MBC excluded from the sporadic set at age 66 with BRCA2 having developed prostate cancer before testing at age 68. The mean age for MBC case PV carriers by gene were 63.8 for BRCA2, 60.7 for BRCA1 and 52 for CHEK2 cases. The mean age of those without PVs was 60.6 years. No PVs were detected in wider panel testing to include intragenic coding variants of ATM, PALB2, RAD51C and RAD51D.

The MSS was highly predictive of a BRCA1/2 PV (table 1). In keeping with the published thresholds, an MSS <15 (there is a minimum score of 10 with a MBC >59) demonstrated a detection rate below 10% at 9.5% (6/63). The 15–19 range identified 10 PVs (19.6%) with 12/14 (85.7%) of those with an MSS ≥40 having a BRCA1/2 PV. While increasing MSS was associated with ever increasing PV rates, especially for BRCA2, this was not predictive for CHEK2. No PVs were identified in 93 cases with full gene panel testing including 11 out of 12 with MSS ≥30 who tested negative for BRCA1/2. The only non-c.1100delC CHEK2 variant (c.1263delT) was in an MBC case with a very strong family history of FBC and an MSS of 39. Additional genes tested with a definite link to breast cancer included CDH1 (n=29) and BARD1 (n=19) testing negative in addition to 72 samples testing negative for BRIP1.

Table 1

PV detection rates by Manchester Scoring System and age of sporadic male breast cancer

Full receptor status was available for 13 BRCA2 MBC and all were ER+HER2, with 5 out of 13 grade 3 (8 grade 2). Similarly, all CHEK2-associated MBC were ER+HER2 and 2 out of 4 grade 3. Both the BRCA1 PV heterozygotes with full pathology had ER+HER2- cancers. Of the MBCs with no PV and full pathology, 11 out of 40 had grade 3 tumours (1x grade 1) and all were ER+HER2-.

In total, 17 non-index cases with MBC have been tested in BRCA1/2 PV families, with only one testing negative, an 83 year old, for BRCA1.

Discussion

In the current study, we have shown a high detection rate for BRCA2 PVs with a detection rate 10-fold higher than for BRCA1, consistent with the 10-fold higher lifetime risk in BRCA2 PV heterozygotes.1 2 Interestingly, age of onset of MBC was not predictive of a BRCA2 PV. This is a similar finding to a large German cohort where 142 BRCA2 PVs were found in cases with a mean age at onset of 62 years compared with 60 years of cases without a PV.6 The overall detection rate was similar to this study at 23% but is higher than ours for the MBC cases themselves (16%). Similarly, the BRCA1 rate of 4.6% was almost double than the 3 out of 118 (2.5%) in the current study. The German study had a lower proportion of sporadic MBC 146/614 (23.8%) compared with 47/118 (39.6%) in the current study likely reflecting a stronger selection bias. However, the BRCA2 detection rate was also around half in the current study (4.3%) compared with 14/146 (9.6%).6 This may reflect a lower BRCA2 population frequency in the UK. The frequency of CHEK2 PVs was 3.2% (11/340) in the German study in BRCA1/2 negative samples compared with 4/92 (4.3%) MBC cases in the current study. After CHEK2, PALB2 was the most frequently involved, with 6 out of 340 compared with none in our case set despite PALB2 having a potential founder effect in our region.12 The additional panel beyond CHEK2 of definitive breast cancer genes only identified a further 9 out of 340 (2.6%) in the German study with ATM the most frequent (n=6). There was no detailed breakdown of degree of family history in the German study and they did not include prostate and pancreatic cancer in their analysis.

A large Italian study, the most recent of several from the consortium, tested 767 BRCA1/2-negative MBCs and 1349 male controls for an extended panel of 50 genes.5 Although their headline rate was 4.8% (n=37), this dropped to only 18 (2.3%) if only definitive breast cancer genes3 4 were included (2 PVs were also found in NF1 which is also associated outside case control studies but is not usually in breast cancer gene panels). PV carriers were more likely to have had a personal (p=0.03) and family (p=0.02) history of cancers not limited to breast cancer. They found that PALB2 PVs were associated with a sevenfold increased MBC risk (OR=7.28, 95% CI=1.17–45.52; p=0.034), and ATM PVs with a fivefold increased MBC risk (OR=4.79, 95% CI=1.12–20.56; p=0.035). As no CHEK2 variants were found in controls, they did not report significance for this gene. However, CHEK2 was significant by our estimate on χ2 testing: 3/767 vs 0/1349 (p=0.04). A small Finnish study also found a significant risk from the CHEK2 c.1100delC PV which was found in 4 out of 84 patients (5.9%), significantly more frequently than in the controls (OR=4.47, 95% CI=1.51–13.18, p=0.019).7 Finally, a testing study of panel testing from Ambry genetics of 715 MBCs found a headline PV detection rate of 18.1% for 16 breast cancer susceptibility genes and with no prior BRCA1/2 testing (n=480). BRCA2 and CHEK2 were the most frequently identified (11.0% and 4.1%), with BRCA2 (OR=13.9; p=1.92×10-16), CHEK2 (OR=3.7; p=6.24×10-24) and PALB2 (OR=6.6, p=0.01).8 Apart from six ATM variants (1%), the additional detection rate in those with no prior screen was only 0.8% with just two PALB2 PVs and one RAD51D. There was no detailed breakdown of family history.

The current study has some limitations. It is not as large as some previous studies but includes testing of families where MBC occurred in a first-degree relative. Not all individuals that tested negative for BRCA1/2 have had an extended panel, although 92% of those with an MSS ≥30 have been tested, revealing just one non-CHEK2 c.1100delC variant. Pathology was also not complete but reflects the historical nature of some MBC cases that were diagnosed prior to routine testing of receptor status. The main strength of the study is the extensive collection of family history. This is the first study to our knowledge to validate a BRCA1/2 likelihood algorithm specifically in MBC families. The extended panel testing was also not sufficiently large to rule out detection rates in non-BRCA1/2/CHEK2 genes at a rate below 2%.

In summary, the current study has demonstrated a BRCA2 PV rate in MBC families 10-fold that of BRCA1, with CHEK2 being the only other gene in which PVs were identified. The MSS has shown good validation as a predictor of BRCA1/2 likelihood. The detection rate of validated breast cancer genes beyond BRCA1/2 and CHEK2 from the current study, and the literature, is low at ~2%.

Ethics statements

Patient consent for publication

Acknowledgments

ERW, SJH, AH and DGE are supported by the Manchester NIHR Biomedical Research Centre (IS-BRC-1215-200074). We would also like to thank The Prevent Breast Cancer Appeal.

References

Supplementary materials

  • Supplementary Data

    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

Footnotes

  • X @BurghelG, @ER_Woodward

  • Contributors ERW and DGE conceptualised the study. GJB interpreted the sequencing analyses. ERW and DGE interpreted the data and wrote the manuscript. All authors reviewed the manuscript.

  • Funding The genotyping work was supported by the Manchester NIHR Biomedical Research Centre (IS-BRC-1215-20007) and Prevent Breast Cancer (GA19-002). ERW is funded by Cancer Research UK ACED Alliance C19941/A27859.

  • Competing interests DGE receives consultancy fees from EverythingGenetic Ltd. The other authors declare no conflict of interest.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.