Literature DB >> 30875412

Discoveries beyond BRCA1/2: Multigene testing in an Asian multi-ethnic cohort suspected of hereditary breast cancer syndrome in the real world.

Samuel Guan Wei Ow1, Pei Yi Ong1, Soo-Chin Lee1,2.   

Abstract

BACKGROUND: Due to historically low uptake of genetic testing, the mutational spectrum of Asians with Hereditary Breast Cancer (HBC) is not well understood. This study sought to understand the incidence and spectrum of germline mutations in Asian patients with suspected HBC in a clinic setting.
METHODS: 1056 patients with suspected HBC were seen in our Cancer (CA) Genetics Clinic from 2000-2017, of which 460 underwent genetic testing.
RESULTS: Of 460 probands tested, 93% were female, 61% Chinese, 90% had prior CA, with 19% (77/414) having ≥2 primary CA. Median age at CA-diagnosis was 43y (17-83); 70% had Breast CA (BC) and 25% Ovarian CA (OC). 34% had young-onset BC, 8% bilateral BC, and 4% BC/OC. Majority had family history of BC (53%) or OC (20%). 57% underwent multigene testing (14-49 genes), 34% targeted testing, and 8% predictive testing. 30% were found to have a pathogenic mutation: 80% in BRCA1/2 (8 novel mutations noted). Of 33 non-BRCA1/2 pathogenic mutations detected, 61% were in 11 BC genes while 39% were in non-BC genes suggestive of alternative CA syndromes. Testing beyond BRCA1/2 impacted management for 15.9% (22/138) of carriers, but extensive testing identified variants of uncertain significance (VUS) in up to 44.5% of probands. Restricting multigene panel testing to a guideline-based 20-gene panel including Lynch Syndrome genes was found to be most optimal, detecting 94.6% of mutation carriers while reducing VUS rate to 21.5%.
CONCLUSIONS: Evolution of CA Genetics testing strategy to a multigene approach facilitated detection of pathogenic mutations in non-BRCA1/2 genes and aided management. Guideline-based panel testing is feasible and can be offered in Asians with suspected HBC.

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Year:  2019        PMID: 30875412      PMCID: PMC6420039          DOI: 10.1371/journal.pone.0213746

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


Introduction

Much progress has been made in the diagnosis and management of hereditary breast cancer syndrome in the past decades. Previously thought to be restricted to the BRCA1/2 genes, astute clinical observation and family-based studies have led to the discovery of other high penetrance breast cancer predisposition genes such as TP53 (Li Fraumeni syndrome) and PTEN (Cowden Syndromes).[1, 2] With further advancements in genetic testing capability, particularly with the use of high throughput technology such as next-generation sequencing, moderate-penetrance breast cancer genes such as PALB2, CHEK2 and ATM have been uncovered, and clinicians are beginning to gain deeper understanding of the clinical phenotype of breast cancer families harboring defects in these genes.[3] Cancer genetic services remain the main provider of genetic cancer risk assessment and serve as dedicated resources for probands in the cancer prevention and treatment continuum, from pre-test counselling, formulating appropriate test strategy, post-test counselling, to recommending personalized cancer surveillance and management, and facilitating predictive testing for kindred. The goal of genetic cancer risk assessment is to help identify individuals and families who have a genetic predilection to cancer, and recommend preventative or screening measures to reduce their risk.[4] The discovery of PARP inhibitors as effective treatment for BRCA1/2-associated breast and ovarian cancers has also augmented the role of genetic cancer risk assessment to advise mutation positive patients on specific cancer therapy.[5, 6] While cancer genetic services have been present in Asia since the 2000s, the uptake for germline genetic testing in the clinic has been initially low largely due to cost concerns.[7] As such, much of the literature and guidelines for hereditary breast cancer have been driven by major cancer centers in the West.[8] However, small studies from Asian groups have reported novel mutations in breast cancer patients from this part of the world.[9, 10] The use of multigene panel testing in the clinic has also opened the door to discovering non-BRCA1/2 genetic mutations, allowing insight to the mutational spectrum in this still poorly understood population. We describe the outcomes of clinical genetic testing including the use of multigene panels in a multi-ethnic cohort at a tertiary cancer center in Asia.

Materials and methods

Clinical and genetic information were collected with approval from the National Healthcare Group Doman Specific Review Board (DSRB 2000/00511). All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Written informed consent was obtained from all individual participants included in the study.

Clinical cancer genetics service

The Clinical Cancer Genetics Service at the National University Cancer Institute, Singapore was established in 2001, and serves as a major referral center for genetic cancer risk assessment in Southeast Asia and the Middle East.[11] Three-generation family cancer pedigrees were constructed and evaluated for each proband by a cancer genetics counselor, with further counseling and assessment in conjunction with a medical oncologist specialized in cancer genetics. Genetic testing was offered to probands with 5% or greater putative chance of having an underlying genetic predisposition, as determined by prevailing guidelines from organizations including, but not limited to, the National Comprehensive Cancer Network, Society of Gynecologic Oncology and United States Preventive Services Task Force, and supplemented by the use of clinically relevant prediction models such as Couch Model and Penn II Model.[12] In the initial period, single syndrome-based testing of the cancer predisposition gene(s) felt most likely to be implicated was performed, using Sanger sequencing with or without deletion/duplication analysis. In probands with a family history of a known germline mutation, predictive testing of the said mutation was performed (single site mutation analysis). Multigene panel testing with next-generation sequencing was subsequently offered since 2014, when clinical grade next-generation sequencing (with screening of large deletions, duplications and rearrangements using laboratory-specific protocols such as multiplex ligation-dependent probe amplification, multiplex quantitative polymerase chain reaction, microarray-comparative genomic hybridization, read-depth and split-read analysis) came into widespread use. All samples for clinical genetic testing were analyzed by commercial laboratories certified by regulatory bodies such as the College of American Pathologists, and United Kingdom Accreditation Service. Genetic test results were extracted from formal genetic test reports, with variant calling and classification made based on their databases and algorithms employed by the respective commercial laboratories. The number of genes included in the panels expanded with time (range 14, 49) and are listed in S1 Table.

Statistical methods

Patient characteristics and gene test results were tabulated and described. Clinical characteristics and test results were compared using chi-square tests (for proportions of categorical variables) and student’s t-test (for means of continuous variables). Logistic regression was used to calculate odd ratios for binary variables. All tests were 2-sided with significance level set at 0.05. Statistical analysis was performed using Intercooled Stata release 14. (StataCorp. 2015. Stata Statistical Software: Release 14. College Station, TX: StataCorp LP.)

Results

Patient characteristics

During the period spanning January 2001 to May 2017, 1056 patients with suspected hereditary breast cancer syndrome were reviewed at the Cancer Genetics Clinic. 94.9% were female, with majority being Chinese (63.3%) followed by Malay (9.8%), Indian (9.8%), and others (17.1%), including 2.7% Middle Eastern. Mean age at the time of visit was 47.2 years (range 12, 91). 17.1% were cancer-free. Of the 876 patients with prior diagnosis of cancer, 82.5% had one primary, 15.7% had two primary cancers, and 1.7% had three or more primary cancers. The mean age of first cancer diagnosis was 43.9 years (range 11, 87). The most common site of primary cancer was breast (75.9%), followed by ovary (17.8%) and prostate (1.5%). More than half of the patients were referred by medical oncologists (63.5%), with the remaining from surgeons (15.3%), gynecologists (9.6%), self (6.2%) and general practitioners (2.6%). Full details are presented in S2 Table. Of the 1056 patients suspected to have hereditary breast cancer syndrome, 43.6% (460/1056) underwent genetic testing, including 41 individuals (4% of the entire cohort) who had a positive family history of a germline BRCA1/2 mutation (Table 1). Three-fifths were of Chinese ethnicity, followed by Indians (10.7%), Caucasian (7.4%) and Malay (5.9%). 10.0% (46/460) were cancer-free. The mean age of cancer diagnosis was 44.4 years, with more than 90% having breast and/or ovarian cancer. A significant majority had a family history of breast cancer (52.6%), ovarian cancer (19.8%), or both (12.1%). 20.2% (93/460) were assessed to also have features suggestive of alternative hereditary cancer syndromes, most commonly Lynch Syndrome (65, 69.9%), Li Fraumeni (11, 11.8%) and Cowden Syndrome (11, 11.8%) which have overlapping phenotypes with BRCA1/2 hereditary breast cancer syndrome.
Table 1

Clinical characteristics of probands who underwent genetic testing (N = 460).

CharacteristicsNo.(%)
GenderFemale429(93.3)
Male31(6.7)
Age at Time of VisitMean (Range)47.8y(18, 85)
Median46y
EthnicityChinese279(60.7)
Indian49(10.7)
Caucasian34(7.4)
Malay27(5.9)
Indonesian26(5.7)
Middle Eastern17(3.7)
Filipino8(1.7)
Othersa20(4.3)
Number of Cancer (CA) PrimariesCancer-free46(10.0)
1337(73.3)
269(15.0)
≥38(1.7)
Age of first CA Onset (n = 414)Mean (Range)44.4y(17, 83)
Median43y
Primary Site of CA(n = 414)Breast289(69.8)
Ovary102(24.6)
Prostate8(1.9)
Colon5(1.2)
Endometrium3(0.7)
Pancreas3(0.7)
Adrenal1(0.2)
Cervixb1(0.2)
Paragangliomac1(0.2)
Thyroid1(0.2)
Personal HistoryBreast CA ≤40y158(34.4)
Bilateral Breast CA38(8.3)
Breast and Ovary CA17(3.7)
Pancreas and/or Prostate CA12(2.6)
Male Breast CA7(1.5)
Family HistoryBreast CA242(52.6)
Ovary CA91(19.8)
Prostate CA31(6.7)
Pancreas CA15(3.3)
BRCA1/2 Mutation41(8.9)

aEurasian (n = 4), Myanmese (n = 4), Vietnamese (n = 4), South American (n = 4), Cambodian (n = 1), Japanese (n = 1), Mauritian (n = 1), Thai (n = 1)

bPatient was diagnosed with metastatic cervical cancer, and noted to have a BRCA1 mutation on somatic tumor sequencing

cPatient has family history of young-onset breast cancer

aEurasian (n = 4), Myanmese (n = 4), Vietnamese (n = 4), South American (n = 4), Cambodian (n = 1), Japanese (n = 1), Mauritian (n = 1), Thai (n = 1) bPatient was diagnosed with metastatic cervical cancer, and noted to have a BRCA1 mutation on somatic tumor sequencing cPatient has family history of young-onset breast cancer

Germline genetic testing strategy and results

In the tested cohort of 460 probands, 57.2% (n = 263) underwent panel-based testing, 33.9% (n = 156) had targeted gene testing, while 8.1% (n = 41) underwent single site mutation analysis. Test details are highlighted in Table 2. 30.0% (138/460) of probands were found to have a pathogenic mutation on testing, while 42.8% did not have any mutations found. 27.2% were noted to have a variant of uncertain significance (VUS) in the absence of a pathogenic mutation.
Table 2

Test strategy (N = 460).

StrategyGenes testedNo.(%)
Predictive Testing (Single site mutation analysis) (n = 41)BRCA124(57.1)
BRCA215(35.7)
BRCA2 and RET2(4.8)
Targeted Testing (n = 156)BRCA1/2149(95.5)
BRCA1/2 and Mismatch Repair Genes6(3.8)
BRCA1/2 and PTEN1(0.6)
Panel-based Testing (n = 263)14-gene panel2(0.8)
29-gene panel32(12.2)
34-gene panel83(31.6)
49-gene panel146(55.5)

Pathogenic mutations

Of the 138 probands found to have a pathogenic mutation, 110/138 (79.7%) were in BRCA1/2 genes (66 in BRCA1, 44 in BRCA2), as indicated in Fig 1. A total of 69 unique mutations were seen in BRCA1/2, of which eight were novel mutations not previously described at the time of testing. Frameshift mutations were most common (63.0%), followed by nonsense mutations (27.3%) and large deletions (5.5%). Frameshift and nonsense mutations made up 95.5% of mutations in BRCA2 compared to 80.3% of mutations in BRCA1 (p<0.01). There were a larger variety of mutations seen in BRCA1 compared to BRCA2, including large deletions (9.1%), intronic changes (3.0%), duplication mutations (3.0%), missense mutations (3.0%) and splice site mutations (1.5%). Of interest, we found one recurring mutation each in Chinese (BRCA2:c.3109C>T nonsense mutation in 3 unrelated individuals) and Malays (BRCA1:c.2726dupA frameshift mutation in 4 probands from 3 unrelated families). Detailed information on the pathogenic mutations found and the associated pedigree are provided in S3 Table.
Fig 1

Proportion of pathogenic mutations detected in BRCA1/2 and non-BRCA1/2 genes.

32/138 (23.2%) mutation-positive patients had a total of 33 pathogenic mutations in non-BRCA1/2 genes: MUTYH (mono-allelic; n = 7), TP53 (n = 6), MLH1 (n = 3), ATM (n = 2), BRIP1 (n = 2), FANCC (n = 2), PALB2 (n = 2), RET (n = 2), and 1 each in CDH1, CHEK2, MSH2, NBN and RAD50/51C/51D. 10 novel mutations were detected in 8 non-BRCA1/2 genes (S3 Table). Among the 33 mutations seen in the non-BRCA1/2 genes, 20/33 (60.6%) were in high and moderate-penetrance breast cancer genes. 13/33 (39.4%) were in four non-breast cancer genes, of which 4/13 were in MLH1 and MSH2 which are associated with Lynch Syndrome. 7/13 had pathogenic heterozygous mutations in MUTYH which are not thought to be causative of the probands’ cancers and therefore believed to be incidental findings with limited clinical relevance. Of interest, four individuals with BRCA1/2 mutation had an incidental finding in another gene (two related individuals with BRCA2 and RET, one with BRCA2 and MUTYH, and one with BRCA1 and FANCC) which did not correlate with the clinical presentation. On multivariate analysis of possible risk factors, a personal history of more than one cancer, personal history of ovarian cancer, personal history of young-onset breast cancer (≤ 40 years of age), family history of breast cancer, family history of ovarian cancer, and family history of germline mutation were found to be significantly associated with having a pathogenic mutation. (Table 3) The proportion of pathogenic mutations across the Asian ethnicities were consistently more than 25% in this cohort suspected to have hereditary breast cancer syndrome (Fig 2).
Table 3

Factors associated with increased odds of harboring a pathogenic mutation (N = 460).

Univariate AnalysisMultivariate Analysis (Best Model)
OR (95% CI)p-valueOR (95% CI)p-value
Personal History ofCA Onset ≤40y1.14 (0.76, 1.69)0.53
Breast CA0.69 (0.46, 1.03)0.07
Breast CA Onset ≤40y0.81 (0.53, 1.25)0.351.73 (1.01, 2.98)0.04
Ovary CA1.42 (0.91, 2.22)0.132.45 (1.40, 2.98)0.02
Breast and Ovary CA2.74 (1.03, 7.25)0.04
>1 Cancer1.52 (0.91, 2.53)0.111.89 (1.08, 3.31)0.03
Family History ofFH Breast Yes2.10 (1.39, 3.17)<0.012.13 (1.34, 3.37)<0.01
FH Ovary Yes4.13 (2.56, 6.67)<0.013.95 (2.32, 6.71)<0.01
FH Germline Mutation4.55 (2.43, 9.30)<0.013.56 (1.65, 7.70)<0.01
Fig 2

Proportion of pathogenic mutations detected in BRCA1/2 and non-BRCA1/2 genes by Ethnicity (N = 419).

(Excluding n = 41 probands who underwent predictive testing) Proportion of Pathogenic Mutations by Ethnicity.

Proportion of pathogenic mutations detected in BRCA1/2 and non-BRCA1/2 genes by Ethnicity (N = 419).

(Excluding n = 41 probands who underwent predictive testing) Proportion of Pathogenic Mutations by Ethnicity.

Variants of uncertain significance

Of 419 probands who underwent targeted or panel testing, 187 VUS across 46 genes were detected in 125 probands on genetic testing (Fig 3). Among probands identified with VUS, 64.8% (81/125) had 1 VUS, 24.8% had 2 VUS, and 10.4% had more than 2 VUS. VUS were most commonly found in BRCA1 (17/187, 9.1%), BRCA2 (17/187, 9.1%) and ATM (15/187, 8.0%). Testing with a more extensive multigene panel was associated with greater rate of VUS detection, with 44.5% (65/146) of probands tested with a 49-gene panel found to have at least one VUS. There were no statistically significant differences in the frequencies of VUS between patients of different ethnicities.
Fig 3

Distribution of variants of uncertain significance (VUS) detected in 125 probands.

VUS Count by Gene.

Distribution of variants of uncertain significance (VUS) detected in 125 probands.

VUS Count by Gene.

Testing strategy

Excluding the 26 mutation carriers identified via predictive testing, 112 probands were found to have a pathogenic mutation on targeted or panel-based testing. Restricting genetic testing to BRCA1/2 alone in these 112 probands would identify only 84/112 (75.0%) of mutation carriers. The diagnostic yield is increased to 93/112 (83.0%) if four additional high-penetrance breast cancer genes are included in the test panel (CDH1, PALB2, PTEN, TP53), and 100/112 (89.3%) if a broader panel of 15 moderate-penetrance breast-ovarian cancer genes listed in the National Comprehensive Cancer Network guidelines (including ATM, BARD1, BRIP1, CHEK2, NBN, NF1, RAD51C/51D, STK11) was used (p<0.01). Addition of Lynch Syndrome genes (MLH1, MSH2, MSH6, PMS2 and EPCAM) which are not classical breast cancer predisposition genes but have been shown in several studies to be associated with increased breast cancer risk would identify another 4/112 (3.6%) of mutation carriers (MLH1 = 3, MSH2 = 1). [13, 14] Conversely, the VUS detection rate is higher with the number of genes tested: BRCA1/2 alone (33/419 probands, 7.9%), 6-gene panel (42/419, 10.0%), 15-gene panel (74/419, 17.7%), 20-gene panel including Lynch Syndrome genes (90/419, 21.5%).

Discussion

This study presents results of clinical germline genetic testing in a large multi-ethnic Asian cohort suspected to have hereditary breast cancer syndrome. Approximately one-third of our 460 probands suspected to have hereditary breast cancer syndrome and who underwent testing, were found to have a pathogenic mutation, similar to reported literature. While BRCA1/2 remain the most commonly implicated genes in this high-risk cohort, mutations in non-BRCA1/2 genes were not uncommon (23.2%), and would not have been diagnosed without multigene testing. Of clinical relevance is the fact that cancer surveillance and risk-reducing guidelines now exist for 13 of the 15 hereditary cancer syndromes caused by non-BRCA1/2 genes, and would alter management for almost 70% (22/32) of the non-BRCA1/2 mutation carriers.[8, 15] This is particularly so for high penetrance genes like TP53 (n = 6) and MLH/MSH2 (n = 3) which predispose affected individuals to a wide spectrum of malignancies ranging from childhood cancers to colon, adrenal and endocrine cancers in adulthood, and warrant earlier screening strategies and intervention. However, there is still lack of consensus on the optimal number of candidate genes to be included in panel testing for hereditary breast cancer. Currently, breast cancer-targeted panel testing offered by clinical laboratories typically include up to 9 high and moderate penetrance breast cancer genes (ATM, BRCA1/2, CDH1, CHEK2, NBN, PALB2, PTEN, TP53) which would identify 85.7% of the mutation carriers seen in our study. Expanding the panel to include 15 breast-ovarian cancer genes and 5 Lynch Syndrome genes listed in the National Comprehensive Cancer Network guidelines for genetic testing in hereditary breast-ovarian cancer would identify 94.6% of mutation carriers in our cohort, and impact on subsequent management. This is significant because Lynch Syndrome genes are not routinely included in multigene panel tests which target hereditary breast cancer alone, and there may not be clinical suspicion of Lynch Syndrome in the absence of colorectal or endometrial cancer. However, multiple studies have indicated that the incidence of breast cancer may be increased in Lynch Syndrome carriers, hence inclusion of the mismatch repair genes may be warranted in probands suspected to have hereditary breast cancer, as seen in our study.[13, 14] Including more candidate genes may not always be incrementally beneficial. Extensive panel testing covering more than 40 genes is being increasingly marketed, but the diagnostic yield and action-ability remains questionable particularly for candidate genes such as TSC2 / PALLD which may not be relevant to patients with suspected hereditary breast cancer. Multigene testing is also associated with increased rates of VUS detection, especially in poorly studied ethnic populations. In our cohort, multigene panel testing was three times more likely to yield VUS in both BRCA1/2 and non-BRCA1/2 genes than targeted gene testing. In the clinic setting, VUS are non-informative in risk assessment, and this uncertainty may cause confusion and frustration among patients. Therefore limitation of candidate gene testing would help to reduce potential issues with VUS detection. By restricting testing to 20 cancer predisposition genes including Lynch Syndrome genes which are supported by guidelines, VUS detection could potentially be reduced from 44.5% to 21.5% in our cohort (p<0.01). The additional genes sequenced in more extensive panels such as RAD50 / FANCC are at best moderate in penetrance, and would not impact on current management. A guideline-based strategy may be more feasible in detecting clinically actionable mutations, without the drawback of finding VUS in probands. Incidental findings were also not uncommon with extended panel-based testing in our study. Four individuals with a pathogenic BRCA1/2 mutation had an unexpected mutation in another gene (two related individuals with BRCA2 and RET, one with BRCA2 and MUTYH, and one with BRCA1 and FANCC) which did not correlate with initial clinical suspicion. An additional six individuals were also found to have pathogenic heterozygous mutations in MUTYH in the absence of a personal or family history of colorectal cancer or polyposis. Based on current knowledge, mono-allelic pathogenic mutations in MUTYH are unlikely to result in significantly increased risk of cancer, and are thus true incidental findings that do not alter clinical management.[16] However, incidental findings are not necessarily benign in their implications. The accompanying RET mutation in the mother-daughter pair with a germline BRCA2 mutation is highly unusual and cannot be taken lightly. Their family history is positive for breast and ovarian cancer, with no obvious occurrence of medullary thyroid cancer, parathyroid hyperplasia or pheochromocytoma seen in the associated Multiple Endocrine Neoplasia 2 (MEN2) Syndrome.[17] Nevertheless, given that MEN2 is highly penetrant and affected probands are typically advised to undergo prophylactic thyroidectomy in childhood, appropriate counselling and recommendations to undertake thyroid cancer screening was provided. This is an example of how family history may not always hold key to the underlying genetic predisposition, particularly in the modern era of small nuclear families which make pedigree assessment challenging.[18] This underscores the importance of genetic cancer risk assessment in the pre-test and post-test setting, to complement the additional genetic information provided by multigene testing. We recognize that the study has limitations due to the heterogeneity of the commercial testing platforms used. Of note, targeted testing of only BRCA1/2 during the initial phase of the study, and inclusion of related individuals undergoing predictive testing of BRCA1/2, may have skewed the proportion of pathogenic BRCA1/2 mutations detected in our study. Compared to prior reports studying Asian cohorts which reported more frequent BRCA2 mutations compared to BRCA1, the converse was seen in our study population which is more ethnically diverse.[19, 20] This may have been further biased by the inclusion of Caucasian and Middle Eastern patients as our clinic is a regional referral center. If we exclude related individuals, Caucasian and Middle Eastern patients, the proportion of BRCA1 and BRCA2 mutations will be 54.9% vs 45.1%, which is comparable to that reported in another smaller study from Singapore.[10] The disparities between different studies in Asia reflect the real-world scenario faced in Cancer Genetics clinics, where cost and access issues remain significant.[21, 22] To the best of our knowledge, our study presents genetic testing data from the largest Asian cohort of ethnically diverse probands suspected to have hereditary breast cancer syndrome in the clinic, with a significant number undergoing multigene testing comprising a large panel of relevant cancer predisposition genes. While caution should understandably be exercised in using multigene panel testing for suspected hereditary cancer syndromes due to higher rates of uninformative VUS and unwanted incidental findings, its increasing use is inevitable in the real world due to lower test costs and ability to cover differential diagnoses, and this study provides insights on the mutational spectrum in Asian patients suspected with hereditary breast cancer tested with multi-gene panels in the clinic setting.

Conclusions

We describe the clinical characteristics and mutational profile of patients suspected to have hereditary breast cancer in an Asian academic institution setting. Our study shows that pathogenic mutations could be detected in a third of patients who fulfill clinical guidelines for genetic testing for hereditary breast cancer syndrome, with similar mutation detection rates across diverse Asian ethnic subgroups. Multigene panel tests increased the diagnostic yield, with almost a quarter of the patients diagnosed with pathogenic mutations harboring mutations in non-BRCA1/2 genes that could account for their personal/family cancer history, although VUS rate was three times higher than with targeted gene testing. While the number of genes included in multigene panel testing for hereditary breast cancer syndrome is ever increasing, our study showed that limiting the number of genes in the panel to 20 high and moderate penetrance breast-ovarian cancer genes and Lynch Syndrome genes included in established guidelines has the highest yield, while reducing the rates of uninformative VUS to 21.5%. With more widespread use of next generation sequencing technology and unraveling of genetic variants seen in the Asian ethnic population, we expect the understanding of breast cancer predisposition genes in Asia to grow, and management guidelines further tailored to benefit Asian patients.

Cancer predisposition genes tested on multigene panels.

(DOC) Click here for additional data file.

Clinical characteristics of probands suspected to have hereditary breast cancer syndrome.

(DOC) Click here for additional data file.

Pathogenic mutations in BRCA1/2 and non-BRCA1/2 genes with associated pedigree information.

(DOC) Click here for additional data file.
  20 in total

1.  Association between the Lynch syndrome gene MSH2 and breast cancer susceptibility in a Canadian familial cancer registry.

Authors:  Mira Goldberg; Kathleen Bell; Melyssa Aronson; Kara Semotiuk; Greg Pond; Steven Gallinger; Kevin Zbuk
Journal:  J Med Genet       Date:  2017-08-04       Impact factor: 6.318

2.  Acceptance, motivators, and barriers in attending breast cancer genetic counseling in Asians.

Authors:  Tan-Min Chin; Sing-Huang Tan; Siew-Eng Lim; Philip Iau; Wei-Peng Yong; Seng-Weng Wong; Soo-Chin Lee
Journal:  Cancer Detect Prev       Date:  2005-09-23

3.  Lynch syndrome caused by MLH1 mutations is associated with an increased risk of breast cancer: a cohort study.

Authors:  Elaine F Harkness; Emma Barrow; Katy Newton; Kate Green; Tara Clancy; Fiona Lalloo; James Hill; D Gareth Evans
Journal:  J Med Genet       Date:  2015-06-22       Impact factor: 6.318

4.  Predicting BRCA1 and BRCA2 gene mutation carriers: comparison of PENN II model to previous study.

Authors:  Noralane M Lindor; Kiley J Johnson; Hayden Harvey; V Shane Pankratz; Susan M Domchek; Katherine Hunt; Marcia Wilson; M Cathie Smith; Fergus Couch
Journal:  Fam Cancer       Date:  2010-12       Impact factor: 2.375

5.  Lifetime cancer risks in individuals with germline PTEN mutations.

Authors:  Min-Han Tan; Jessica L Mester; Joanne Ngeow; Lisa A Rybicki; Mohammed S Orloff; Charis Eng
Journal:  Clin Cancer Res       Date:  2012-01-15       Impact factor: 12.531

6.  Recurrent mutation testing of BRCA1 and BRCA2 in Asian breast cancer patients identify carriers in those with presumed low risk by family history.

Authors:  Peter Choon Eng Kang; Sze Yee Phuah; Kavitta Sivanandan; In Nee Kang; Eswary Thirthagiri; Jian Jun Liu; Norhashimah Hassan; Sook-Yee Yoon; Meow Keong Thong; Miao Hui; Mikael Hartman; Cheng Har Yip; Nur Aishah Mohd Taib; Soo Hwang Teo
Journal:  Breast Cancer Res Treat       Date:  2014-03-01       Impact factor: 4.872

Review 7.  Multiple Endocrine Neoplasia: A Genetically Diverse Group of Familial Tumor Syndromes.

Authors:  M Cristina Pacheco
Journal:  J Pediatr Genet       Date:  2016-03-09

8.  Olaparib maintenance therapy in platinum-sensitive relapsed ovarian cancer.

Authors:  Jonathan Ledermann; Philipp Harter; Charlie Gourley; Michael Friedlander; Ignace Vergote; Gordon Rustin; Clare Scott; Werner Meier; Ronnie Shapira-Frommer; Tamar Safra; Daniela Matei; Euan Macpherson; Claire Watkins; James Carmichael; Ursula Matulonis
Journal:  N Engl J Med       Date:  2012-03-27       Impact factor: 91.245

9.  Inherited breast cancer predisposition in Asians: multigene panel testing outcomes from Singapore.

Authors:  Edward S Y Wong; Sandhya Shekar; Marie Met-Domestici; Claire Chan; Melody Sze; Yoon Sim Yap; Steven G Rozen; Min-Han Tan; Peter Ang; Joanne Ngeow; Ann S G Lee
Journal:  NPJ Genom Med       Date:  2016-01-13       Impact factor: 8.617

10.  PALB2, CHEK2 and ATM rare variants and cancer risk: data from COGS.

Authors:  Melissa C Southey; David E Goldgar; Robert Winqvist; Katri Pylkäs; Fergus Couch; Marc Tischkowitz; William D Foulkes; Joe Dennis; Kyriaki Michailidou; Elizabeth J van Rensburg; Tuomas Heikkinen; Heli Nevanlinna; John L Hopper; Thilo Dörk; Kathleen Bm Claes; Jorge Reis-Filho; Zhi Ling Teo; Paolo Radice; Irene Catucci; Paolo Peterlongo; Helen Tsimiklis; Fabrice A Odefrey; James G Dowty; Marjanka K Schmidt; Annegien Broeks; Frans B Hogervorst; Senno Verhoef; Jane Carpenter; Christine Clarke; Rodney J Scott; Peter A Fasching; Lothar Haeberle; Arif B Ekici; Matthias W Beckmann; Julian Peto; Isabel Dos-Santos-Silva; Olivia Fletcher; Nichola Johnson; Manjeet K Bolla; Elinor J Sawyer; Ian Tomlinson; Michael J Kerin; Nicola Miller; Federik Marme; Barbara Burwinkel; Rongxi Yang; Pascal Guénel; Thérèse Truong; Florence Menegaux; Marie Sanchez; Stig Bojesen; Sune F Nielsen; Henrik Flyger; Javier Benitez; M Pilar Zamora; Jose Ignacio Arias Perez; Primitiva Menéndez; Hoda Anton-Culver; Susan Neuhausen; Argyrios Ziogas; Christina A Clarke; Hermann Brenner; Volker Arndt; Christa Stegmaier; Hiltrud Brauch; Thomas Brüning; Yon-Dschun Ko; Taru A Muranen; Kristiina Aittomäki; Carl Blomqvist; Natalia V Bogdanova; Natalia N Antonenkova; Annika Lindblom; Sara Margolin; Arto Mannermaa; Vesa Kataja; Veli-Matti Kosma; Jaana M Hartikainen; Amanda B Spurdle; kConFab Investigators; Els Wauters; Dominiek Smeets; Benoit Beuselinck; Giuseppe Floris; Jenny Chang-Claude; Anja Rudolph; Petra Seibold; Dieter Flesch-Janys; Janet E Olson; Celine Vachon; Vernon S Pankratz; Catriona McLean; Christopher A Haiman; Brian E Henderson; Fredrick Schumacher; Loic Le Marchand; Vessela Kristensen; Grethe Grenaker Alnæs; Wei Zheng; David J Hunter; Sara Lindstrom; Susan E Hankinson; Peter Kraft; Irene Andrulis; Julia A Knight; Gord Glendon; Anna Marie Mulligan; Arja Jukkola-Vuorinen; Mervi Grip; Saila Kauppila; Peter Devilee; Robert A E M Tollenaar; Caroline Seynaeve; Antoinette Hollestelle; Montserrat Garcia-Closas; Jonine Figueroa; Stephen J Chanock; Jolanta Lissowska; Kamila Czene; Hatef Darabi; Mikael Eriksson; Diana M Eccles; Sajjad Rafiq; William J Tapper; Sue M Gerty; Maartje J Hooning; John W M Martens; J Margriet Collée; Madeleine Tilanus-Linthorst; Per Hall; Jingmei Li; Judith S Brand; Keith Humphreys; Angela Cox; Malcolm W R Reed; Craig Luccarini; Caroline Baynes; Alison M Dunning; Ute Hamann; Diana Torres; Hans Ulrich Ulmer; Thomas Rüdiger; Anna Jakubowska; Jan Lubinski; Katarzyna Jaworska; Katarzyna Durda; Susan Slager; Amanda E Toland; Christine B Ambrosone; Drakoulis Yannoukakos; Anthony Swerdlow; Alan Ashworth; Nick Orr; Michael Jones; Anna González-Neira; Guillermo Pita; M Rosario Alonso; Nuria Álvarez; Daniel Herrero; Daniel C Tessier; Daniel Vincent; Francois Bacot; Jacques Simard; Martine Dumont; Penny Soucy; Rosalind Eeles; Kenneth Muir; Fredrik Wiklund; Henrik Gronberg; Johanna Schleutker; Børge G Nordestgaard; Maren Weischer; Ruth C Travis; David Neal; Jenny L Donovan; Freddie C Hamdy; Kay-Tee Khaw; Janet L Stanford; William J Blot; Stephen Thibodeau; Daniel J Schaid; Joseph L Kelley; Christiane Maier; Adam S Kibel; Cezary Cybulski; Lisa Cannon-Albright; Katja Butterbach; Jong Park; Radka Kaneva; Jyotsna Batra; Manuel R Teixeira; Zsofia Kote-Jarai; Ali Amin Al Olama; Sara Benlloch; Stefan P Renner; Arndt Hartmann; Alexander Hein; Matthias Ruebner; Diether Lambrechts; Els Van Nieuwenhuysen; Ignace Vergote; Sandrina Lambretchs; Jennifer A Doherty; Mary Anne Rossing; Stefan Nickels; Ursula Eilber; Shan Wang-Gohrke; Kunle Odunsi; Lara E Sucheston-Campbell; Grace Friel; Galina Lurie; Jeffrey L Killeen; Lynne R Wilkens; Marc T Goodman; Ingo Runnebaum; Peter A Hillemanns; Liisa M Pelttari; Ralf Butzow; Francesmary Modugno; Robert P Edwards; Roberta B Ness; Kirsten B Moysich; Andreas du Bois; Florian Heitz; Philipp Harter; Stefan Kommoss; Beth Y Karlan; Christine Walsh; Jenny Lester; Allan Jensen; Susanne Krüger Kjaer; Estrid Høgdall; Bernard Peissel; Bernardo Bonanni; Loris Bernard; Ellen L Goode; Brooke L Fridley; Robert A Vierkant; Julie M Cunningham; Melissa C Larson; Zachary C Fogarty; Kimberly R Kalli; Dong Liang; Karen H Lu; Michelle A T Hildebrandt; Xifeng Wu; Douglas A Levine; Fanny Dao; Maria Bisogna; Andrew Berchuck; Edwin S Iversen; Jeffrey R Marks; Lucy Akushevich; Daniel W Cramer; Joellen Schildkraut; Kathryn L Terry; Elizabeth M Poole; Meir Stampfer; Shelley S Tworoger; Elisa V Bandera; Irene Orlow; Sara H Olson; Line Bjorge; Helga B Salvesen; Anne M van Altena; Katja K H Aben; Lambertus A Kiemeney; Leon F A G Massuger; Tanja Pejovic; Yukie Bean; Angela Brooks-Wilson; Linda E Kelemen; Linda S Cook; Nhu D Le; Bohdan Górski; Jacek Gronwald; Janusz Menkiszak; Claus K Høgdall; Lene Lundvall; Lotte Nedergaard; Svend Aage Engelholm; Ed Dicks; Jonathan Tyrer; Ian Campbell; Iain McNeish; James Paul; Nadeem Siddiqui; Rosalind Glasspool; Alice S Whittemore; Joseph H Rothstein; Valerie McGuire; Weiva Sieh; Hui Cai; Xiao-Ou Shu; Rachel T Teten; Rebecca Sutphen; John R McLaughlin; Steven A Narod; Catherine M Phelan; Alvaro N Monteiro; David Fenstermacher; Hui-Yi Lin; Jennifer B Permuth; Thomas A Sellers; Y Ann Chen; Ya-Yu Tsai; Zhihua Chen; Aleksandra Gentry-Maharaj; Simon A Gayther; Susan J Ramus; Usha Menon; Anna H Wu; Celeste L Pearce; David Van Den Berg; Malcolm C Pike; Agnieszka Dansonka-Mieszkowska; Joanna Plisiecka-Halasa; Joanna Moes-Sosnowska; Jolanta Kupryjanczyk; Paul Dp Pharoah; Honglin Song; Ingrid Winship; Georgia Chenevix-Trench; Graham G Giles; Sean V Tavtigian; Doug F Easton; Roger L Milne
Journal:  J Med Genet       Date:  2016-09-05       Impact factor: 6.318

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  4 in total

1.  Intronic Variant of MUTYH Gene Exhibits A Strong Association with Early Onset of Breast Cancer Susceptibility in Indonesian Women Population.

Authors:  Sonar Soni Panigoro; Erlin Listiyaningsih; Ika Nurlaila; Bharuno Mahesworo; Alam Ahmad Hidayat; Arif Budiarto; Digdo Sudigyo; Dian Amirullah; Simon Simon; James Baurley; Bens Pardamean
Journal:  Asian Pac J Cancer Prev       Date:  2021-12-01

2.  BRIP1, RAD51C, and RAD51D mutations are associated with high susceptibility to ovarian cancer: mutation prevalence and precise risk estimates based on a pooled analysis of ~30,000 cases.

Authors:  Malwina Suszynska; Magdalena Ratajska; Piotr Kozlowski
Journal:  J Ovarian Res       Date:  2020-05-02       Impact factor: 4.234

3.  Characteristics of Germline Non-BRCA Mutation Status of High-Risk Breast Cancer Patients in China and Correlation with High-Risk Factors and Multigene Testing Suggestions.

Authors:  Yifan Su; Qianlan Yao; Yuyin Xu; Chengli Yu; Jing Zhang; Qian Wang; Jiwei Li; Di Shi; Baohua Yu; Yupeng Zeng; Xiaoli Zhu; Qianming Bai; Xiaoyan Zhou
Journal:  Front Genet       Date:  2021-11-30       Impact factor: 4.599

4.  Summary of BARD1 Mutations and Precise Estimation of Breast and Ovarian Cancer Risks Associated with the Mutations.

Authors:  Malwina Suszynska; Piotr Kozlowski
Journal:  Genes (Basel)       Date:  2020-07-15       Impact factor: 4.096

  4 in total

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