An association of Lynch syndrome (LS) with breast cancer has been long suspected; however, there have been insufficient data to address this question for each of the LS genes individually.
We conducted a retrospective review of personal and family history in 423 women with pathogenic or likely pathogenic germ-line variants in MLH1 (N = 65), MSH2 (N = 94), MSH6 (N = 140), or PMS2 (N = 124) identified via clinical multigene hereditary cancer testing. Standard incidence ratios (SIRs) of breast cancer were calculated by comparing breast cancer frequencies in our study population with those in the general population (Surveillance, Epidemiology, and End Results 18 data).
When evaluating by gene, the age-standardized breast cancer risks for MSH6 (SIR = 2.11; 95% confidence interval (CI), 1.56–2.86) and PMS2 (SIR = 2.92; 95% CI, 2.17–3.92) were associated with a statistically significant risk for breast cancer whereas no association was observed for MLH1 (SIR = 0.87; 95% CI, 0.42–1.83) or MSH2 (SIR = 1.22; 95% CI, 0.72–2.06).
Our data demonstrate that two LS genes, MSH6 and PMS2, are associated with an increased risk for breast cancer and should be considered when ordering genetic testing for individuals who have a personal and/or family history of breast cancer.
Germ-line pathogenic variants (PVs) in the mismatch repair (MMR) genes MLH1, MSH2, MSH6, and PMS2, and 3′ deletions of EPCAM, a gene just upstream of MSH2, cause Lynch syndrome (LS). There is evidence that cancer risk depends on the affected gene. MLH1 and MSH2 are most commonly associated with a higher risk of colorectal cancer.1 Additionally, MSH2 has been associated with a higher risk for extracolonic cancers, and female MSH6 carriers may have the highest risk of endometrial cancer. While the LS tumor spectrum has been well established as including colon, endometrial, ovarian, stomach, small bowel, hepatobiliary tract, ureter/renal pelvis, pancreas, brain, and sebaceous neoplasms, the risks of other cancers, including breast, prostate, and adrenocortical tumors, are less clearly delineated.1,2
The MMR pathway is responsible for repairing single base pair mismatches and small insertions or deletions that occur when DNA polymerase attempts to replicate small repeat sequences. Pathogenic variants within the MMR genes result in errors in DNA repair, leading to an increased mutation load in MMR-deficient cells.1 Screening for MMR deficiency by microsatellite instability and immunohistochemistry assays is often performed on colorectal and endometrial tumors to identify patients with LS. Although screening for MMR deficiency in breast tumors is currently not standard clinical practice, multiple studies have shown that breast cancers from women with LS are more likely to exhibit microsatellite instability and loss of one or more MMR proteins via immunohistochemistry, compared with sporadic breast cancers.3,4,5,6,7,8,9,10,11,12,13,14
Clinical studies evaluating breast cancer risk in women with LS have been conflicting, with some showing up to a fourfold increased breast cancer risk and others reporting no increased risk.15,16 Ascertainment bias may have affected results: many previous LS studies assessing breast cancer ascertained their study cohorts based on criteria heavily weighted toward colorectal cancer. As a result, many study cohorts consisted only of MLH1 and MSH2 carriers although some also included MSH6.17,18,19,20,21,22,23 A few studies have included all four MMR genes, but presented only a single combined breast cancer risk, likely due to a small number of MSH6 and PMS2 carriers.15,16 Thus, the lack of consistent association of breast cancer and LS in previous studies may reflect the genetic composition of the cohorts. While it has been suggested that breast cancer risk may vary by gene in LS, no one study has examined gene- and age-specific breast cancer risks for all four MMR genes. The aim of our study was to characterize breast cancer risks for each MMR gene in our group of women who were identified to have a PV via germ-line hereditary cancer panel testing for a variety of cancer-related indications.
Materials and methods
We retrospectively queried more than 50,000 women who had multigene hereditary cancer panel testing completed at GeneDx between 2013 and 2016, identifying 423 women with a single germ-line pathogenic variant or likely pathogenic variant (collectively referred to here as PV) in any of the four MMR genes. All sequence variants were classified based on the 2015 American College of Medical Genetics and Genomics/Association for Molecular Pathology guidelines for the interpretation of sequence variants.24 Combined EPCAM-MSH2 deletions were included in the MSH2 PV cohort. Individuals with a second PV in an MMR or another gene (excluding single PV in MUTYH) were excluded. A list of the multigene panels (with gene lists) included and PVs identified can be found in Supplementary Tables S1 and S2 online.
Demographic, clinical, and family history information was obtained from test requisition forms and accompanying clinical documents supplied by the ordering provider at the time of the test order. Pathology reports were not requested to confirm diagnoses. Subjects were limited to females over the age of 18. Breast cancer was defined as any invasive breast neoplasm or ductal carcinoma in situ. This study was approved by the Western Institutional Review Board, Puyallup, WA (WIRB 20162523).
Genomic DNA was isolated from whole blood using a QIAsymphony DNA kit, and from oral rinse using a QIAsymphony DSP Virus/Pathogen Midi Kit (Qiagen, Valencia, CA). Genomic DNA was enriched for the complete coding region and splice-site junctions of the genes of interest using custom SureSelect targeted capture (Agilent, Santa Clara, CA). Next-generation sequencing and deletion/duplication analysis were performed for all coding regions as well as a portion of the 5′ untranslated region, 3′ untranslated region, and intronic regions for all genes on each panel, with the exception of EPCAM, for which only deletion/duplication analysis was performed. The products were sequenced on Illumina MiSeq or HiSeq instruments with paired-end reads (Illumina, San Diego, CA). DNA sequence was mapped to a masked version of the published human genome build University of California–Santa Cruz hg19/GRCh37 reference sequence using BWA-Mem version 0.7.8.25,26 Local realignment around insertion/deletion sites and regions with poor mapping quality was performed using the Genome Analysis Toolkit version 1.6 IndelRealigner.27 Variant calls were generated by the union of SAMtools version 0.1.18,28 Genome Analysis Toolkit UnifiedGenotyper,27 and a GeneDx-developed heuristic caller. Capillary sequencing (Applied Biosystems/Life Technologies, Grand Island, NY) on a newly extracted DNA sample was used to confirm all variants with clinical or uncertain significance and to fill in sequence for regions with fewer than 15 reads by next-generation sequencing. Any potential variant position with coverage of fewer than 50 reads was reviewed by analysts and analyzed by capillary sequencing if unclear. Long-range polymerase chain reaction was used to distinguish variants in PMS2 from those in the PMS2 pseudogene PMS2CL. Deletion/duplication analysis was performed via custom-designed exon-targeted array comparative genomic hybridization (Agilent). Confirmation of copy-number changes detected on array comparative genomic hybridization was performed by multiple ligation-dependent probe amplification, repeat microarray analysis, or quantitative polymerase chain reaction using the Universal ProbeLibrary (Roche, Indianapolis, IN).
Standardized incidence ratios (SIRs) for breast cancer were calculated for each gene as the number of observed cancers to the number of expected cancers based on breast cancer incidence in the general population. The expected number of cases was estimated for each 5-year age group from 20 to 85 as the time at risk multiplied by the reference population incidence rates. The population-based incidence rates were obtained using SEER*Stat statistical software from the Surveillance, Epidemiology, and End Results (SEER) 18 data, which includes 18 cancer registries representing 27.8% of the US population.29,30 Corresponding 95% confidence intervals (95% CI) were calculated using the Poisson approximation distribution. SIRs for endometrial, colorectal, and ovarian cancer were also calculated using their respective incidence rates from SEER 18. All statistical analyses were conducted using RStudio 0.99.902.31 The Kaplan–Meier method was used to estimate cumulative risk and corresponding 95% CIs for breast cancers to age 60, stratified by MMR gene.32 Log-rank test was used to compare incidence rates between groups. All reported p values are two-tailed with a significance level of 0.05.
Most of the 423 female MMR PV carriers in our study reported Caucasian or European ancestry (72.1%, 305/423). The average age at time of genetic testing was 52.5 (±12.1) years (see Table 1 for further demographic details). The distribution of MMR PVs was as follows: MSH6, 33.1% (140/423); PMS2, 29.3% (124/423); MSH2, 22.2% (94/423); MLH1, 15.4% (65/423). The 423 women in our study harbored 241 unique PVs, the majority of which (87.5%, 370/423) were predicted to result in a truncated protein or a transcript subject to nonsense-mediated decay (start codon, splice, cryptic splice, nonsense, deletion/duplication, frameshift), while the rest were missense or small in-frame deletions (12.5%, 53/423) (Supplementary Figure S1).
Cancer history and referral patterns
A personal history of breast cancer was reported in 25.3% (107/423) of the cohort, with 1.4% (6/423) reporting a history of more than one primary breast cancer. The average age at first breast cancer diagnosis was 50.2 years (±11.7, range: 26–76).
Approximately half of the women with a MMR PV were referred for testing with either the Comprehensive Cancer Panel (24.6%, 104/423) or the Breast/Ovarian Cancer Panel (24.3%, 103/423), both of which contain genes related to breast cancer and LS (Supplementary Table S1). Twenty-six percent (27/104) of Comprehensive Cancer and 45.6% (47/103) of Breast/Ovarian Cancer Panel patients reported a personal history of breast cancer. Twenty-eight percent (117/423) of the women with MMR PVs were referred for the Colorectal Cancer Panel or the Lynch Syndrome Panel. Of these 117 women, 2 (1.7%) had breast cancer. Reflex testing (more extensive genetic testing after the first panel yielded normal results) identified PVs in three women with breast cancer following a normal result on the High-Risk Breast Cancer Panel.
Prevalence of breast, ovarian, endometrial, and colorectal cancer varied among MLH1, MSH2, MSH6, and PMS2 carriers (Figure 1a). After preliminary analyses, genes were grouped based on similar breast cancer prevalence observed in MMR PV carriers (MLH1/MSH2 vs. MSH6/PMS2). A diagnosis of breast cancer, irrespective of other personal cancer history, was reported more frequently in women with MSH6 or PMS2 PVs (MSH6: 30%, 42/140; PMS2: 35.5%, 44/124) compared to women with MLH1 or MSH2 PVs (MLH1: 10.8%, 7/65; MSH2: 14.9%, 14/94) (p < 0.001) (Figure 1a). Furthermore, breast cancer in the absence of LS-associated cancers was reported more frequently in women with PVs in MSH6 or PMS2 (MSH6: 18.6%, 26/140; PMS2: 29.0%, 36/124) compared to women with PVs in MLH1 or MSH2 (MLH1: 3.1%, 2/65; MSH2: 4.3%, 4/94) (p < 0.001) (Figure 1b).
The average numbers of reported breast, ovarian, endometrial, and colorectal cancers per family showed similar results to personal cancer histories (Figure 1c). Breast cancer was more commonly reported in family members (up to third degree as available) of probands with a PV in MSH6 or PMS2 (average number of reported cancers per family = 1.46 and 1.52) whereas colon cancer was more commonly reported in family members of probands with a PV in MLH1 or MSH2 (2.62 and 2.12). The proportion of probands (excluding the seven relatives in our cohort) reporting a personal or family history of breast cancer but no colorectal, endometrial, or ovarian cancer was lower among those with MLH1 or MSH2 PVs (MLH1: 0%, 0/65; MSH2: 2.2%, 2/92) than among those with PVs in MSH6 or PMS2 (MSH6: 8.0%, 11/137; PMS2: 24.6%, 30/122) (p < 0.001).
SIR analysis and cumulative risk
Breast cancer risk was found to be approximately twofold higher (SIR = 1.96; 95% CI, 1.63–2.37) in our aggregate mismatch repair PV cohort compared to the general population (Table 2). When evaluating by gene, only two of the four MMR genes were found to have a statistically significant increased association with breast cancer: MSH6 (SIR = 2.11; 95% CI, 1.56–2.86) and PMS2 (SIR = 2.92; 95% CI, 2.17–3.92). MLH1 (SIR = 0.87; 95% CI, 0.416–1.83) and MSH2 (SIR = 1.22; 95% CI, 0.721–2.06) were not found to be associated with breast cancer.
Cumulative incidence of breast cancer was calculated and illustrated via Kaplan–Meier analysis (Figure 2). The cumulative incidence of breast cancer at the age of 60 was found to be 37.7% (95% CI, 27.5–47.8) for PMS2, 31.1% (95% CI, 21.9–40.7) for MSH6, 16.1% (95% CI, 7.3–27.9) for MSH2, and 15.5% (95% CI, 5.5–30.2) for MLH1 PV carriers. MSH6 and PMS2 had a statistically significant greater cumulative incidence of breast cancer compared with MLH1 and MSH2 (p < 0.001).
Unrelated probands (n = 416) were evaluated to determine if they met Amsterdam II, Revised Bethesda Guidelines, and the National Comprehensive Cancer Network (NCCN) BRCA1/2 Testing Criteria (Figure 3).33,34,35 Women with MLH1 (53.8%, 35/65) or MSH2 (43.5%, 40/92) PVs, compared with MSH6 and PMS2, were more likely to meet Amsterdam II criteria. Women with MLH1 PVs most frequently met Revised Bethesda Guidelines (50.8%, 33/65). A higher proportion of women with MSH6 (64.2%, 88/137) or PMS2 (68.9%, 84/122) PVs met NCCN BRCA1/2 testing criteria compared to those with MLH1 (44.6%, 29/65) or MSH2 (45.7%, 42/92) PVs. Overall, our cohort of women with MMR PVs more commonly met NCCN BRCA1/2 testing criteria (58.4%, 243/416) than any of the established LS clinical or testing criteria (Amsterdam II: 23.8%, 99/416; Revised Bethesda: 22.8%, 95/416).
We describe the reported personal and family cancer histories for a consecutive series of women identified to carry a single germ-line MMR PV through clinical testing with hereditary cancer gene panels. This study is the first, to our knowledge, to provide gene-specific breast cancer risks for all four MMR genes utilizing the same study cohort. In addition, unlike many previous studies, our cohort was not ascertained based on strict LS clinical criteria, suggesting our study population may be more representative of the population undergoing hereditary cancer testing. While many women had a personal or family history of traditional cancers associated with LS (colorectal, endometrial, or ovarian), 11.1% (46/416) reported no personal or family history of these cancers. In the absence of large panel testing, many might not have been tested for the MMR genes. In addition, three women with breast cancer were found to be positive for a MMR gene PV only after having normal results on a smaller, high-risk breast panel.
We found a twofold and threefold increased risk of breast cancer for the women with MSH6 and PMS2 PVs in our cohort, whereas no breast cancer association was observed for MLH1 or MSH2. PVs in MSH6 and PMS2 were found to confer 31.1% and 37.7% cumulative risks for breast cancer by the age of 60 while PVs in MLH1 or MSH2 were found to confer breast cancer risks close to the expected general population risk, 16.1% and 15.5%, respectively.
Due to differences in study design, cohort ascertainment, and overall proportion of MSH6 and PMS2 PV carriers, many previous studies evaluating breast cancer risk in association with the MMR genes are not suitable for direct comparison with our findings.15,16 In one retrospective study with a design more similar to ours, Engel et al.21 found an almost twofold increased breast cancer risk in a cohort of 1,107 women with PVs in the MMR genes (SIR = 1.9; 95% CI, 1.4–2.4). Although Engel’s study did not include any women with PMS2 PVs and included a smaller proportion of women with MSH6 PVs (16.4%, C. Engel, personal communication) than the current study (33.1%), our SIR of 1.96 for all four MMR genes was similar to theirs.
As a clinical laboratory, it was important to determine whether our calculated SIRs for breast cancer might be skewed if our referral population were higher risk than the general population. We therefore calculated SIRs for well-established female-specific LS-associated cancers (endometrial and ovarian) using the same cohort of 423 women with MMR PVs. In aggregate, the endometrial cancer risk was found to be 13-fold higher (SIR = 12.93; 95% CI, 10.87–15.37) while the ovarian cancer risk was eightfold higher (SIR = 8.15; 95% CI, 6.61–10.95) compared with the general population, consistent with published LS-associated endometrial (SIRs = 10–62) and ovarian (SIRs = 7–14) cancer risks.36 As LS study cohorts in the literature have historically been ascertained using established clinical and/or testing criteria, resulting in overestimation of published CRC risks, we did not use CRC risks as a metric for comparison.37 The fact that the endometrial and ovarian SIRs in our cohort are consistent with previously published SIRs supports the validity of our approach.
Our findings suggest that the current LS clinical testing criteria may not be sufficiently sensitive, particularly for MSH6 and PMS2. Hegde et al.38 reported that MSH6 and PMS2 account for approximately 7–10% and <5%, respectively, of LS families. When applying Amsterdam II criteria to our cohort, consistent with Hedge et al., only 10.9% of women with MSH6 and 7.4% of PMS2 PVs would have been identified. The overall low proportion of women with MMR PVs meeting Amsterdam II Criteria (23.9%), compared with those meeting NCCN BRCA1/2 testing criteria (58.2%), underscores the need to continuously reconsider the criteria for which genes to test.
This study has several limitations. First, the clinical information used in this study was limited to that provided with the testing sample. In addition, the study population consisted only of women considered candidates for genetic testing by their providers and may not be representative of all women with MMR PVs. As our overall testing cohort was comprised largely of women with a personal or family history of breast cancer, SIRs might be biased and will need to be confirmed in other studies. It is notable that the race/ethnicity distribution between this study cohort and the general population differs slightly among certain groups.39 To address these potential differences we conducted sensitivity analyses limited to those reported to be only Caucasian/European (non-Hispanic white) in our cohort using breast cancer SEER rates for non-Hispanic white females and found similar results (results not shown). Finally, given our retrospective study design, our estimates of cumulative survival may be overestimated because we may have differentially tested women with longer survival. It is also possible that the retrospective design and young average age at time of testing (52.1 years in this study) underestimates the cumulative incidence. To deal with this latter bias, we estimated cumulative incidence to age 60 only. Prospective validation of our findings will be needed to minimize these and other potential biases.
This study suggests that women with PVs in MSH6 or PMS2 may benefit from increased breast cancer screening. Replication of our gene-specific breast cancer risks will be important to the future development of breast cancer management guidelines for female LS patients. In addition, further assessment of MMR deficiency in breast tumors may provide more information with which to evaluate the link between MMR genes and breast cancer. Finally, family studies of additional individuals with MMR PVs may also provide better breast cancer risk estimates.
In conclusion, our data demonstrate that PVs in MSH6 or PMS2 are associated with a modest but statistically significant increased risk for breast cancer. Previously, the identification of a PV in MSH6 or PMS2 in a woman with breast cancer may have been considered an incidental finding. Here we show that PVs in MSH6 or PMS2 are associated with breast cancer and that these MMR genes should be considered when ordering a multigene panel for women with a personal or family history of breast cancer.
Lynch HT, Snyder CL, Shaw TG, Heinen CD, Hitchins MP. Milestones of Lynch syndrome: 1895–2015. Nat Rev Cancer 2015;15:181–194.
Castellsagué E, Foulkes WD. Lynch syndrome: five unanswered questions. Clin Genet. 2015;87:503–506.
Risinger JI, Barrett JC, Watson P, Lynch HT, Boyd J. Molecular genetic evidence of the occurrence of breast cancer as an integral tumor in patients with the hereditary nonpolyposis colorectal carcinoma syndrome. Cancer. 1996;77:1836–1843.
Anbazhagan R, Fujii H, Gabrielson E. Microsatellite instability is uncommon in breast cancer. Clin Cancer Res 1999;5:839–844.
Blokhuis MM, Goldberg PA, Pietersen GE et al. The extracolonic cancer spectrum in females with the common “South African” hMLH1 c.C1528T mutation. Fam Cancer. 2008;7:191–198.
Shanley S, Fung C, Milliken J et al. Breast cancer immunohistochemistry can be useful in triage of some HNPCC families. Fam Cancer. 2009;8:251–255.
Jensen UB, Sunde L, Timshel S et al. Mismatch repair defective breast cancer in the hereditary nonpolyposis colorectal cancer syndrome. Breast Cancer Res Treat 2010;120:777–782.
Walsh MD, Buchanan DD, Cummings MC et al. Lynch syndrome-associated breast cancers: clinicopathologic characteristics of a case series from the colon cancer family registry. Clin Cancer Res 2010;16:2214–2224.
Buerki N, Gautier L, Kovac M et al. Evidence for breast cancer as an integral part of Lynch syndrome. Genes Chromosomes Cancer 2012;51:83–91.
Lotsari JE, Gylling A, Abdel-Rahman WM et al. Breast carcinoma and Lynch syndrome: molecular analysis of tumors arising in mutation carriers, non-carriers, and sporadic cases. Breast Cancer Res 2012;14:R90.
Wen YH, Brogi E, Zeng Z et al. DNA mismatch repair deficiency in breast carcinoma: a pilot study of triple-negative and non-triple-negative tumors. Am J Surg Pathol 2012;36:1700–1708.
Müller A, Edmonston TB, Corao DA et al. Exclusion of breast cancer as an integral tumor of hereditary nonpolyposis colorectal cancer. Cancer Res. 2002;62:1014–1019.
de Leeuw WJF, van Puijenbroek M, Tollenaar RAEM, Cornelisse CJ, Vasen HFA, Morreau H. Correspondence re: A. Müller et al., Exclusion of breast cancer as an integral tumor of hereditary nonpolyposis colorectal cancer. Cancer Res., 62: 1014-1019, 2002. Cancer Res. 2003;63:1148–1149.
Grandval P, Barouk-Simonet E, Bronner M et al. Is the controversy on breast cancer as part of the Lynch-related tumor spectrum still open? Fam Cancer. 2012;11:681–683.
Pande M, Wei C, Chen J et al. Cancer spectrum in DNA mismatch repair gene mutation carriers: results from a hospital based Lynch syndrome registry. Fam Cancer. 2012;11:441–447.
Win AK, Young JP, Lindor NM et al. Colorectal and other cancer risks for carriers and noncarriers from families with a DNA mismatch repair gene mutation: a prospective cohort study. J Clin Oncol 2012;30:958–964.
Aarnio M, Sankila R, Pukkala E et al. Cancer risk in mutation carriers of DNA-mismatch-repair genes. Int J Cancer 1999;81:214–218.
Scott RJ, McPhillips M, Meldrum CJ et al. Hereditary nonpolyposis colorectal cancer in 95 families: differences and similarities between mutation-positive and mutation-negative kindreds. Am J Hum Genet 2001;68:118–127.
Vasen HF, Morreau H, Nortier JW. Is breast cancer part of the tumor spectrum of hereditary nonpolyposis colorectal cancer? Am J Hum Genet 2001;68:1533–1535.
Dowty JG, Win AK, Buchanan DD et al. Cancer risks for MLH1 and MSH2 mutation carriers. Hum Mutat. 2013;34:490–497.
Engel C, Loeffler M, Steinke V et al. Risks of less common cancers in proven mutation carriers with lynch syndrome. J Clin Oncol 2012;30:4409–4415.
Harkness EF, Barrow E, Newton K et al. Lynch syndrome caused by MLH1 mutations is associated with an increased risk of breast cancer: a cohort study. J Med Genet 2015;52:553–556.
Barrow E, Robinson L, Alduaij W et al. Cumulative lifetime incidence of extracolonic cancers in Lynch syndrome: a report of 121 families with proven mutations. Clin Genet 2009;75:141–149.
Richards S, Aziz N, Bale S et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med 2015;17:405–424.
Kent WJ, Sugnet CW, Furey TS et al. The human genome browser at UCSC. Genome Res. 2002;12:996–1006.
Li H, Durbin R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 2009;25:1754–1760.
Van der Auwera GA, Carneiro MO, Hartl C et al. From FastQ data to high confidence variant calls: the Genome Analysis Toolkit best practices pipeline. Curr Protoc Bioinformatics 2013;43:11.10.1–33.
Li H, Handsaker B, Wysoker A et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics 2009;25:2078–2079.
Surveillance, Epidemiology, and End Results (SEER) Program. SEER*Stat Database: Incidence—SEER 18 Regs Research Data, Nov 2015 Sub (2000-2013) <Katrina/Rita Population Adjustment> Linked To County Attributes—Total U.S., 1969-2014 Counties, National Cancer Institute, DCCPS, Surveillance Research Program, Surveillance Systems Branch, released April 2016, based on the November 2015 submission www.seer.cancer.gov.
Surveillance Research Program. National Cancer Institute SEER*Stat software (version 8.3.2) seer.cancer.gov/seerstat.
RStudio TeamRStudio: Integrated Development for R. RStudio:: Boston, MA, 2015. http://www.rstudio.com/.
Allignol A, Schumacher M, Beyersmann J. Empirical Transition Matrix of Multi-State Models: the etm Package. J Stat Softw 2011;38:15.
Vasen HF, Watson P, Mecklin JP, Lynch HT. New clinical criteria for hereditary nonpolyposis colorectal cancer (HNPCC, Lynch syndrome) proposed by the International Collaborative group on HNPCC. Gastroenterology. 1999;116:1453–1456.
Umar A, Boland CR, Terdiman JP et al. Revised Bethesda Guidelines for hereditary nonpolyposis colorectal cancer (Lynch syndrome) and microsatellite instability. J Natl Cancer Inst 2004;96:261–268.
National Comprehensive Cancer Network. Genetic/Familial High-Risk Assessment: Breast and Ovarian (version 2.2016).
Dębniak T, Gromowski T, Scott RJ et al. Management of ovarian and endometrial cancers in women belonging to HNPCC carrier families: review of the literature and results of cancer risk assessment in Polish HNPCC families. Hered Cancer Clin Pract 2015;13:3.
Carayol J, Khlat M, Maccario J, Bonaïti-Pellié C. Hereditary non-polyposis colorectal cancer: current risks of colorectal cancer largely overestimated. J Med Genet 2002;39:335–339.
Working Group of the American College of Medical Genetics and Genomics (ACMG) Laboratory Quality Assurance CommitteeHegde M Working Group of the American College of Medical Genetics and Genomics (ACMG) Laboratory Quality Assurance CommitteeFerber M Working Group of the American College of Medical Genetics and Genomics (ACMG) Laboratory Quality Assurance CommitteeMao R Working Group of the American College of Medical Genetics and Genomics (ACMG) Laboratory Quality Assurance CommitteeSamowitz W Working Group of the American College of Medical Genetics and Genomics (ACMG) Laboratory Quality Assurance CommitteeGanguly A Working Group of the American College of Medical Genetics and Genomics (ACMG) Laboratory Quality Assurance Committee. ACMG technical standards and guidelines for genetic testing for inherited colorectal cancer (Lynch syndrome, familial adenomatous polyposis, and MYH-associated polyposis). Genet Med 2014;16:101–116.
US Census Bureau. Comparative Demographic Estimates, 2016 American Community Survey 1-Year Estimates. 2016. https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_16_1YR_CP05&prodType=table. Accessed 14 September 2017.
M.E.R., S.A.J., L.R.S., M.L.M., A.R.S., B.M., and Z.X. are employed by GeneDx/BioReference Laboratories and have a salary as the only disclosure. W.K.C. is a former employee of BioReference Laboratories. K.S.H., R.T.K., and B.D.S. disclose stock and employment with GeneDx/BioReference Laboratories/Opko. The other authors declare no conflict of interest.
About this article
Cite this article
Roberts, M.E., Jackson, S.A., Susswein, L.R. et al. MSH6 and PMS2 germ-line pathogenic variants implicated in Lynch syndrome are associated with breast cancer. Genet Med 20, 1167–1174 (2018). https://doi.org/10.1038/gim.2017.254
- breast cancer
- Lynch syndrome
- mismatch repair
The Rare Diagnosis of Synchronous Breast and Colonic Cancers: A Case Report and Review of Literature
Germline copy number variations in BRCA1/2 negative families: Role in the molecular etiology of hereditary breast cancer in Tunisia
PLOS ONE (2021)
Risk assessment and genetic counseling for hereditary breast and ovarian cancer syndromes—Practice resource of the National Society of Genetic Counselors
Journal of Genetic Counseling (2021)
New England Journal of Medicine (2021)
Identification of a protein signature for predicting overall survival of hepatocellular carcinoma: a study based on data mining
BMC Cancer (2020)