Literature DB >> 35469032

Genetic, clinic and histopathologic characterization of BRCA-associated hereditary breast and ovarian cancer in southwestern Finland.

Terhi Aino-Sofia Pallonen1, Salla Maria Matleena Lempiäinen2, Titta Kristiina Joutsiniemi3, Riitta Irmeli Aaltonen4, Pia Erika Pohjola5, Minna Kristiina Kankuri-Tammilehto6.   

Abstract

We have analyzed the histopathological, clinical, and genetic characteristics in hereditary breast and ovarian cancer patients of counselled families from 1996 up to today in the southwestern Finland population. In this study we analyzed the incidence of different BRCA1 and BRCA2 pathogenic variants (PV). 1211 families were evaluated, and the families were classified as 38 BRCA1 families, 48 BRCA2 families, 689 non-BRCA families and 436 other counselled families (criteria for genetic testing was not met). In those families, the study consisted of 44 BRCA1 breast and/or ovarian cancer patients, 58 BRCA2 cancer patients, 602 non-BRCA patients and 328 other counselled patients. Breast cancer mean onset was 4.6 years earlier in BRCA1 carriers compared to BRCA2 (p = 0.07, a trend) and ovarian cancer onset almost 11 years earlier in BRCA1 families (p < 0.05). In BRCA families the onset of ovarian cancer was later than 40 years, and BRCA2-origin breast cancer was seen as late as 78 years. The BRCA PV (9%) increases the risk for same patient having both ovarian and breast cancer with a twofold risk when compared to non-BRCA group (4%) (95% CI p < 0.05). Triple-negativity in BRCA1 (42%) carriers is approximately 2.6 times vs more common than in BRCA2 carriers (16%) (p < 0.05). The risk ratio for bilateral breast cancer is approximately four times when compared BRCA2 (17%) and other counselled patients' group (4%) (p < 0.05). 27% southwestern BRCA2-families have a unique PV, and correspondingly 39% of BRCA1-families. The results of this analysis allow improved prediction of cancer risk in high-risk hereditary breast and ovarian families in southwestern Finland and improve long term follow-up programs. According to the result it could be justified to have the discussion about prophylactic salpingo-oophorectomy by the age of 40 years. The possibility of late breast cancer onset in BRCA2 carriers supports the lifelong follow-up in BRCA carriers. Cancer onset is similar between BRCA2 carries and non-BRCA high-risk families. This study evaluated mutation profile of BRCA in southwestern Finland. In this study genotype-phenotype correlation was not found.
© 2022. The Author(s).

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Year:  2022        PMID: 35469032      PMCID: PMC9038668          DOI: 10.1038/s41598-022-10519-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


Introduction

Breast cancer is the second most common cancer for females worldwide[1]. The risk for breast cancer is approximately 13% in Finland[2] and approximately 5–10% of all breast cancers are inherited[3]. In Finland pathogenetic variants (PVs) that lead to a risk of 40% or higher for breast cancer are classified as high-risk variants[4]. Hereditary breast cancer susceptibility genes consist of high-risk variants and moderate-risk variants. It has been suggested that 25% of the hereditary breast cancer is due to BRCA1 or BRCA2 PV[5]. Published early studies in Finland 2000 and 2002 showed that BRCA PVs were associated with 20% of breast cancer families[6,7], but lately the association has decreased as more patients are being tested due to widened gene test criteria, technological improvement in testing, and the refining of referral criteria and their easy discoverability online. In southwestern Finland the amount of BRCA PV in relation to all high-risk families so is 9.5% (unpublished observation). The ratio of BRCA PV in relation to all breast cancer patients varies geographically. In Finland proportion of BRCA breast cancer of all breast cancers is relatively low, the exact value is not known currently. In a Swedish study, the prevalence of BRCA1 and BRCA2 PVs was 1.8% of all unselected breast cancer patients[8,9]. Among breast cancer patients with cancer onset age under 40 years PV incidence has been shown to be higher than in other age groups: for example, in the United States Buys et al. observed BRCA1 or BRCA2 PV in about 8–14% of all young breast cancer patients[10]. In this study we investigated the onset of breast and ovarian cancer in different breast and ovarian cancer families according to family cancer risk type, result of BRCA test and type of BRCA PV. Additionally, we compared histopathologic characters in different risk groups. The approximate risk of breast cancer is 65–79% with BRCA1 PV and 61–77% for BRCA2 PV[11]. The approximate risk of ovarian cancer is 40% for BRCA1 PV and 20% in BRCA2 PV[11,12]. Men with BRCA2 PV have approximately a 6% risk of breast cancer, for men with BRCA1 PV the risk is approximately 1%[13]. After 40 years of age BRCA2 PV causes up to 5 times higher prostate cancer risk compared to men in general population[14]. 40–60 year old BRCA1 carrier men’s cancer risk is twice that of men in general population[14]. Some genotype-fenotype correlation has been detected only in few PVs[15]. Currently, the knowledge about genotype–phenotype correlation is still not sufficient to use in individual risk assessment[16]. In our study we compared mutation profile to cancer onset. Detecting families with BRCA PV is essential as it improves the cancer prognosis via follow-up and prophylactic surgery. Family’s females with BRCA1 or BRCA2 PV can participate in a breast screening. Most carriers have ovarian and fallopian tube removal that decreases ovarian cancer risk significantly and may halve the breast cancer risk[17-19]. It is also possible to organize gynecologic follow-up from 40 years onwards if patient does not want prophylactic bilateral salpingo-oophorectomy[20]. Skin-sparing mastectomy and breast reconstruction are also possible for patients with BRCA PV as mastectomy reduces breast cancer risk significantly[21,22]. For those BRCA PV patients who have had breast cancer it is possible to receive tamoxifen, to reduce risk of contralateral breast cancer, if prophylactic mastectomy is not done[23]. Usage of PARP inhibitors is possible in certain ovarian cancer patients including patients with BRCA PV[24]. Currently gene testing is not done for all breast cancer patients as it has not been found cost-effective[25], but there are studies investigating the cost-effectives of widespread BRCA screening[8,26]. BRCA1 and BRCA2 tumor analyses is done for all ovarian cancer patients.

Methods

Materials

A retrospective cohort study was made of all families who had had genetic counseling at the Department of Clinical Genetics in Turku University Hospital because of hereditary breast cancer suspect. Counseling has been held between 1996 and 2019. The counseled patients were given referrals from southwestern area of Finland and this area is named as “The expert responsibility area (ERVA) of the Tyks Turku University Hospital”. This analysis compares the onset of breast and ovarian cancer in BRCA1, BRCA2, non-BRCA and other counselled families. Genetic testing has been done for all patients except those in other counselled group, as they did not meet the criteria for genetic testing. We also compare the onset of breast and ovarian cancer in relation to different BRCA genes and to different BRCA pathogenic variants. Families in our cohort are categorized to families with high breast cancer risk using modified familial high-risk criteria (Table 1). In our department genetic testing has been done after doctor’s evaluation based on family tree, patients medical record and genetic testing criteria. Genetic testing criteria has changed during the years, and we have followed the guidelines presented in Table 2 when evaluating possible benefits of genetic testing. Genetic testing in the family is always started from the family member who has had cancer, as then it is most likely to find the family PV. DNA is isolated from white blood cells in normal venous blood sample. If the family member has died, it is possible to isolate the DNA from one’s healthy tissue sample with relative’s approval.
Table 1

Family factors related to high risk for breast cancer in the study.

(I) One breast or ovarian cancer < 30 years old or
(II) Two breast or ovarian cancers and at least other one < 40 years old in 1st degree relatives or
(III) Three breast or ovarian cancers and at least one < 50 years old in 1st degree relatives or
(IV) Four breast or ovarian cancers at any age in 1st degree relatives
(V) One person have had both breast and ovarian cancer or
(VI) Male with breast cancer
(VII) Two first degree relatives with ovarian cancer even if there was no breast cancer in the family
(VIII) Five or more breast cancers in 1–3 degree relatives
Table 2

Current genetic testing criteria according to American Society of Clinical Oncology[25].

1. The cancer of the person is suspected to be hereditary
2. The result of the genetic testing has a clear interpretation

3. Genetic testing provides at least one of next three benefits

– Specifies the diagnosis or

– Results to specific follow-up or

– Provides information if patient benefits from a prophylactic surgery to reduce cancer risk

Family factors related to high risk for breast cancer in the study. Current genetic testing criteria according to American Society of Clinical Oncology[25]. 3. Genetic testing provides at least one of next three benefits – Specifies the diagnosis or – Results to specific follow-up or – Provides information if patient benefits from a prophylactic surgery to reduce cancer risk

BRCA 1 and BRCA2 gene test analysis

Since 1996 genetic testing methods have developed significantly. The whole gene sequencing is necessary as the mutation can locate in any part of the gene. Since 2011 both BRCA genes have been checked with Sanger sequencing. In addition, genes were tested with MLPA-reaction to detect deletions and duplications. In 2017, next-generation sequencing (NGS) were used in 17% of breast and ovarian cancer panel. By 2019 all screening studies were done by NGS gene panel to obtain a family diagnosis. With gene panels it is possible to analyze multiple breast and ovarian cancer-associated gene mutations at once and it is faster than Sanger sequencing. For analysis, NGS libraries were prepared using BRCA Mastr Plus Dx kit (Agilent) and sequenced with Nextseq 500 sequencer (Ilumina). Bioinformatics analysis was performed with Sophia DDM (Sophia Genetics). Large genomic copy number variation was analysed with SALSA MLPA P002 and P045 probe kits for BRCA1 and BRCA2, respectively. Fragment were analyzed with ABI 3500 xl Dx sequencer and GeneMarker software (Softgenetics). Gene panel includes genes that are associated with increased breast cancer risk: BRCA1, BRCA2, TP53, PTEN, STK11, CDH1, PALB2, CHEK2, ATM, FANCM. Panel also includes genes that are associated especially with increased ovarian cancer risk (BRIP1, RAD51C, RAD51D) and genes associated with Lynch syndrome, which can increase the ovarian cancer risk (EPCAM, MLH1, MSH2, MSH6, PMS2)[4,25,27-30]. In this study we analyzed the incidence of BRCA1 and BRCA2 PV in cancer patients of counseled families.

Variant nomenclature and classification

For variant classification, ACMG guidelines were used and variants were described according to HGVS nomenclature[29,30]. Pathogenicity predictions were made with Align GVGD, SIFT, Mutation Taster, PolyPhen-2 and CADD tools and Enigma, BIC, Clinvar, HGMD and GnomAD databases. Genbank reference sequences NM_007294.3 and NM_000059.3 were used for variant nomenclature.

Statistical analysis

SAS Studio software version 3.8 (SAS Institute Inc., Cary, NC, USA) was used to perform statistical analyses. Sociodemographic and clinical variables were summarized using descriptive statistics, such as mean and standard deviation (SD) and frequencies and percentages. Dichotomous outcomes between different groups were reported using risk ratio (RR) with 95% confidence intervals (CI) and significance was analyzed using the Fischer’s exact test. Mean difference of cancer age was evaluated using Students’s T-Test, cancers with unknown age was discarded from the mean age test. All tests were two-sided and p-value less than 0.05 was considered to be statistically significant.

Ethics approval and consent to participate

This study is hospital quality research, which has been authorized by Turku University Hospital and has valid ID. The study was not an experimental study. In the study analyzed data was from patients who had previously been treated at the hospital. Consent was obtained from all subjects or their legal guardians during treatment. All methods were carried out in accordance with relevant guidelines and regulations. As no new samples in this study were required a separate ethics board permit was not required. This is as guided by the ethics committee at Turku Clinical Research Center. The Turku Clinical Research Center provides services in the field of health scientific research for researchers of the University of Turku and the Turku special responsibility area it also hosts the ethics committee.

Results

1211 families were evaluated in southwestern Finland with clinical and family history that suggested hereditary breast and ovarian cancer. The families were classified as BRCA1 families, BRCA2 families, non-BRCA families, and other counselled families. The amount of cancer patients in these groups are shown in Table 3.
Table 3

Total number of cancer patients and families who were counseled in 1996–2020.

CounseledBRCA1BRCA2Non-BRCA1Others1
Families3848689436
Cancer patients4458602328
Breast cancer23 (52%)382 (66%)4883 (81%)306 (93%)
Bilateral breast cancer3 (7%)10 (17%)72 (12%)13 (4%)
Ovarian cancer13 (30%)5 (9%)19 (3%)9 (3%)
Breast and ovarian cancer4 (9%)5 (9%)23 (4%)0 (0%)
Bilateral breast and ovarian cancer1 (2%)0 (0%)0 (0%)0 (0%)

1Non-BRCA and others group includes healthy relatives of a cancer patient, who is not from southwestern Finland and hence not included cancer patients.

2Includes 4 male breast cancer patients.

3Includes 28 male breast cancer patients.

Total number of cancer patients and families who were counseled in 1996–2020. 1Non-BRCA and others group includes healthy relatives of a cancer patient, who is not from southwestern Finland and hence not included cancer patients. 2Includes 4 male breast cancer patients. 3Includes 28 male breast cancer patients. Table 4 shows the amount of breast and ovarian cancer cases in the families and their details. Note that if the patient had a bilateral breast cancer, it was calculated as two breast cancer cases.
Table 4

Histopathologic and clinical characteristics of cancer cases.

Cancer casesBRCA1BRCA2Non-BRCAOthers
Breast cancers cases3463655332
Breast cancer mean age at diagnosis and range45.21 (27–67)49.76 (29–83)51.34 (23–84)51.08 (30–87)
Triple-negative breast cancer cases14 (42%)10 (16%)65 (10%)45 (14%)
Ovarian cancers cases1810429
Ovarian cancer mean age at diagnosis and range50.71 (42–62)61.50 (41–78)58.16 (26–81)53.00 (37–66)

Mean cancer age and sample standard deviation are shown in Fig. 1. The Finnish population data is added for reference and is based on Finnish Cancer Registry[2].

Histopathologic and clinical characteristics of cancer cases. Mean cancer age and sample standard deviation are shown in Fig. 1. The Finnish population data is added for reference and is based on Finnish Cancer Registry[2].
Figure 1

Cancer mean age and sample standard deviation in BRCA-families, non-BRCA families with high risk, other families and Finnish population.

Cancer mean age and sample standard deviation in BRCA-families, non-BRCA families with high risk, other families and Finnish population. Significance of breast cancer onset age was analyzed between groups by T-test. Table 5 shows significant or trending result of this analysis, non-significant results are not shown.
Table 5

Significant and trending differences in the mean onset of breast cancer.

Breast cancerMean onset ageMean differencep-value
BRCA1 vs BRCA245.2 vs 49.8 − 4.60.071
BRCA1 vs non-BRCA45.2 vs 51.3 − 6.10.010
BRCA1 vs others45.2 vs 51.1 − 5.90.007
Significant and trending differences in the mean onset of breast cancer. Significance of ovarian cancer onset age was analyzed between groups by T-test. Table 6 shows the significant or trending result of this analysis, non-significant results are not shown.
Table 6

Significant and trending differences in the mean onset of ovarian cancer.

Ovarian cancerMean onset ageMean differencep-value
BRCA1 vs BRCA250.7 vs 61.5 − 10.80.004
BRCA1 vs non-BRCA50.7 vs 58.2 − 7.50.031
Significant and trending differences in the mean onset of ovarian cancer. Triple-negativity was analyzed by calculating the risk ratio (RR) of triple-negative breast cancer patients between different groups with exact Fisher test. Significant and trending results are shown in Table 7, non-significant results are not shown.
Table 7

Significant and trending of tripe-negative breast cancer.

Triple-negative breast cancerRisk ratio95% CIp-value
BRCA1 vs BRCA22.61.3–5.20.012
BRCA1 vs non-BRCA4.12.6–6.6 < 0.001
BRCA1 vs others3.01.9–4.90.002
Significant and trending of tripe-negative breast cancer. Bilateral breast cancer was analyzed by calculating the risk ratio (RR) of bilateral breast cancer patients between different groups with exact Fisher test. Significant and trending results are shown in Table 8, non-significant results are not shown.
Table 8

Significant and trending of bilateral breast cancer.

Bilateral breast cancerRisk ratio95% CIp-value
BRCA2 vs others4.62.1–10.0 < 0.001
Significant and trending of bilateral breast cancer. The risk ratio (RR) of a patient having ovarian and breast cancer (single or bilateral) was analyzed with exact Fisher test. Significant and trending results are shown in Table 9, non-significant results are not shown.
Table 9

Significant and trending of breast and ovarian cancer.

Breast and ovarian cancerRisk ratio95% CIp-value
BRCA1 vs non-BRCA2.61.0–6.50.056
Significant and trending of breast and ovarian cancer. Breast and ovarian cancer onset age was also evaluated with age brackets to compare their distribution. Due the difference in N values distribution instead of absolute values were used. Figure 2 shown the cumulative breast cancer cases as a function to age and Fig. 3 for ovarian cancer cases correspondingly.
Figure 2

The onset age of breast cancer in BRCA-families, non-BRCA families with high risk and others. Exact values are marked with circles. Smoothing is used to make the curves more readable.

Figure 3

The onset of ovarian cancer in BRCA-families, non-BRCA families with high risk and others. Exact values are marked with circles. Smoothing is used to make the curves more readable.

The onset age of breast cancer in BRCA-families, non-BRCA families with high risk and others. Exact values are marked with circles. Smoothing is used to make the curves more readable. The onset of ovarian cancer in BRCA-families, non-BRCA families with high risk and others. Exact values are marked with circles. Smoothing is used to make the curves more readable. There are several BRCA PVs. If the same PV appears in several families, it is considered a founder PV. The list of founder PV is in Table 10. 15 BRCA1 families have a PV that does not appear in other families. 23 BRCA1 families have a common PV. 13 BRCA2 families have a unique PV. 35 BRCA2 families a common PV.
Table 10

Most common and founder BRCA1 and BRCA2 pathogenic variants in southwestern Finland and their appearance in other countries.

Pathogenic variantFamiliesAppearance
BRCA2 c.771_775delTCAAA; p.(Asn257Lysfs*17)10

Founder mutation in Finland

4th common mutation in Caucasia[31,32]

BRCA2 c.9118-2A > G; p.(Val3040Metfs*20)9Founder mutation in Finland[33,34]
BRCA2 c.7480C > T; p.(Arg2494Ter)7Founder mutation in Finland[34]
BRCA2 c.3847_3848delGT; p.(Val1283Lysfs*2)6Founder mutation in Finland, also common in Scandinavian countries (Sweden, Norway, and Denmark). 5th common mutation in Caucasia[3437]
BRCA1 c.3626delT; p.(Leu1209Ter)5Most common mutation Finland and in Northern Sweden[38,33]
BRCA1 c.4097-2A > G; p.(Gly1366fs*2)4Founder mutation in Finland[34,37]
BRCA1 c.3485delA; p.(Asp1162Valfs*48)3Founder mutation in Finland[34,37]
BRCA2 c.1286 T > G; (p.Leu429Ter)3Common in Finland[37]
BRCA1 c.4186-1787_ 4358-1668dup6081/6-KB DUP EX133Common in Sweden and in English speaking countries[39]
BRCA1 c.5266dupC; p.(Gln1756Profs*74)2Founder mutation among Ashkenazi Jews. Most common founder mutation in Caucasia[37,40]
BRCA1 c.3756_3759delGTCT; p.(Ser1253Argfs*10)2Founder mutation in Russia and in French speaking Canada[41,42]
BRCA1 c.3607C > T; p.(Arg1203Ter)2Founder in Sweden[38]
BRCA1 c.4357 + 1G > A; p.(Arg1397Tyrfs*2)2
Most common and founder BRCA1 and BRCA2 pathogenic variants in southwestern Finland and their appearance in other countries. Founder mutation in Finland 4th common mutation in Caucasia[31,32] Table 11 shows the three PV found in southwestern Finland and that are very rare in other parts of Finland.
Table 11

The pathogenic BRCA1 and BRCA2 variants in southwestern Finland, which are very rare in other parts of Finland and are rare also in southwestern Finland.

GenePathogenic variantProtein change
BRCA2c.3530_3533delACAGp.(Asp1177Alafs)
BRCA1Whole gene deletion
BRCA1Exome 1–13 deletion
The pathogenic BRCA1 and BRCA2 variants in southwestern Finland, which are very rare in other parts of Finland and are rare also in southwestern Finland. The variants have a slightly different cancer onset age. Figure 4 shows this for the most common variants in southwestern Finland. There are no clusters in the breast cancer onset. The germline variants of BRCA1 and BRCA2 identified in this study are shown in Supplementary Table 1 and Table 2.
Figure 4

The onset frequency distribution of breast cancer by the most common different pathogenic variants.

The onset frequency distribution of breast cancer by the most common different pathogenic variants.

Discussion

Onset of breast and ovarian cancer in BRCA1 and BRCA2 families

In this study breast cancer onset was 4–6 years earlier for BRCA1 patients compared to patients in all other groups. BRCA1 compared to BRCA2 result was only a trend, most likely due to the low number of breast cancer incidences. These observations are similar than reported in other studies[7,15]. Of interest is that in southwestern Finland breast cancer onset was similar between BRCA2 families and in non-BRCA families and other counselled families. In this study ovarian cancer onset was 8–11 years earlier for BRCA1 patients compared to patients in BRCA2 and non-BRCA group. Compared to others group the difference was not significant most likely due to low number of incidences. These observations are similar than reported earlier[15]. Recommendations for follow-up programs are updated regularly[43]. In this study in BRCA families the onset of ovarian cancer is later than 40 years and breast cancer later than 26 years. Therefore, magnetic resonance imaging (MRI) screening for breast cancer from the age of 25 years is supported by our results. In non-BRCA group a very early onset of breast and ovarian cancer of less than 30 years’ was seen. This result may reflect that early breast cancer onset age is affected by polygenetic factors[44,45], which are not well known currently. In our study, the risk of breast cancer decreases significantly after 70 years of age in BRCA patients but is still higher than in average population. The observation of our study supports the lifelong follow-up in BRCA1 and BRCA2 carriers as is the current recommendations[46]. MRI is recommended for BRCA1 and BRCA2 carriers[47]. After 70 years of age MRI can be replaced with mammography. Risk-reducing prophylactic bilateral salpingo-oophorectomy is recommended for BRCA patients shortly after 40 years if the patient is willing for the surgery[48]. In the study of Kuchenbaecker et al.[11] the incidence of BRCA2 ovarian cancer is rising from the age of 50 years and BRCA1 ovarian cancer over 10 years earlier[11]. It is opposite to the results of our study where the ovarian cancer onset for both BRCA1 and BRCA2 patients was soon after 40 years. According to the result it could be justified to have the discussion about prophylactic ovarian removal with a gynecologist by the age of 40 years.

Other histopathologic and clinical features in BRCA1 and BRCA2

The amount of triple-negativity represents 10–20% of invasive breast cancers in general population[49]. In our study triple-negativity is seen in 38% of BRCA1 breast cancers. This is similar that has been seen in other studies[50]. Also, the ratio of triple-negativity between this study’s groups was in line with other studies[50]. In all patients with breast cancer the cumulative incidence for contralateral breast cancer increases approximately 6% after 15 years[23,51]. Contralateral breast cancer risk is significantly higher in BRCA carries (about 39%)[23]. The 10-year risk of contralateral cancer is approximately 43% for BRCA1 carriers and 35% for BRCA2 carriers[52]. In our material in BRCA2 carriers bilateral breast cancer was more common compared to BRCA1 carriers, but this result was not significant. This study also shows that the risk having both ovarian cancer and breast cancer is higher in BRCA1 than in non-BRCA group (trend). This finding is in line with earlier studies, that have concluded that having both breast cancer and ovarian cancer raise the suspicion of BRCA PV.

Type of pathogenic variants in southwestern Finland

More than 1800 pathogenic variants have been detected in both BRCA1 and BRCA2 genes[16]. This study is the first study, which investigates the mutation profile in southwestern Finland. So far there are 23 different PV types in BRCA1 and 18 in BRCA2 in counseled families. According to prior publications in the group of BRCA2 families same PV appears more often in many families than in the group of BRCA1 families[7,9]. We found that ten BRCA2 families (21%) share the same PV c.771_775delTCAAA, which is very common in Finland, and 73% of all BRCA2 families share a common PV. Of all BRCA1 families 61% share a common PV. This observation is different to earlier studies in which in Finland 80% of BRCA PVs are common[7,9,33]. Our observation suggests that in southwestern Finland families more often have a unique mutation than in other parts of Finland. We observed that all BRCA2 PVs that were seen in more than a single families are also common in other part of Finland[4,6,9,33]. In Finland the large number of common PV in BRCA families is due to a strong founder effect. Finland is a geographically and culturally isolated country. A small population inhabited area that is nowadays known as Finland. The mutations of this population have enriched different Finnish regions over the years[32-34]. Spectrum of BRCA1 founder PV is wider than BRCA2 PV, where a small group of founder PVs are over presented in breast- and ovarian cancer families[32]. Due to the founder effect the most common founder PVs in Finland are not as common in Caucasian or European population, however there are some common PVs naturally[37]. We also observed a common PV named 6-KB DUP EX13 (more specifically c.4186-1787_ 4358-1668dup6081), which is very rare in other part of Finland, but common in Sweden. To our best knowledge, this pathogenic variant has not been published in any other part of Finland. Common PV found in other parts of Finland, but that were not found in our study at Southwestern Finland were c.4327C > T, c.2684del2, c.5251C > T, c.1687C > T[32,34,37]. Large genomic alterations are uncommon in BRCA1 or BRCA2 gene in the Finnish population[53].

Type of pathogenic variant in association to onset of breast and ovarian cancer

In our study there were clear differences in the age of onset between different common PVs. For example, all cases of breast cancer for c.3626delT patients were before the age of 40. This information could be used to further improve when counselling is provided and when surveillance is started. However, the sample size was too small make statistical analysis of these differences. Multiple breast cancer cluster regions (BCCR) and ovarian cancer cluster regions (OCCR) have been observed in BRCA1 and BRCA2 and are associated with relatively elevated breast cancer risk and lower ovarian cancer risk or inversely[15,54]. In our study’s for 56% (10/18) of all patients with BRCA1 origin ovarian cancer the PV was located in the OCCR published in the study of Rebbeck[15], whereas for BRCA2 origin ovarian cancer no PV were located in the ovarian cluster region[15]. Genotype–phenotype correlation is a topic for a follow-up study with greater family and patient amounts.

Conclusion

In conclusion, more specific knowledge about different genetic prognostic factors allows us to evaluate the cancer risk and improve existing treatment guidelines. According to the result it could be justified to have the discussion about prophylactic salpingo-oophorectomy by the age of 40 years. The observation of our study supports the lifelong follow-up in BRCA1 and BRCA2 carriers as breast cancer can be diagnosed as late as approximately 80 years in BRCA2 carriers. Onset of breast and ovarian cancer is similar between BRCA2 carries and non-BRCA families. We observed that 39% of BRCA1 and 27% of BRCA2 family PVs were unique in Southwestern Finland. Genotype–phenotype correlation was not found in southwestern Finnish population in this study. Supplementary Tables.
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1.  Ten-year multi-institutional results of breast-conserving surgery and radiotherapy in BRCA1/2-associated stage I/II breast cancer.

Authors:  Lori J Pierce; Albert M Levin; Timothy R Rebbeck; Merav A Ben-David; Eitan Friedman; Lawrence J Solin; Eleanor E Harris; David K Gaffney; Bruce G Haffty; Laura A Dawson; Steven A Narod; Ivo A Olivotto; Andrea Eisen; Timothy J Whelan; Olufunmilayo I Olopade; Claudine Isaacs; Sofia D Merajver; Julia S Wong; Judy E Garber; Barbara L Weber
Journal:  J Clin Oncol       Date:  2006-04-24       Impact factor: 44.544

2.  Non-founder BRCA1 mutations in Russian breast cancer patients.

Authors:  Aglaya G Iyevleva; Evgeny N Suspitsin; Karin Kroeze; Tatiana V Gorodnova; Anna P Sokolenko; Konstantin G Buslov; Dmitry A Voskresenskiy; Alexandr V Togo; Sergey P Kovalenko; Nienke van der Stoep; Peter Devilee; Evgeny N Imyanitov
Journal:  Cancer Lett       Date:  2010-08-19       Impact factor: 8.679

Review 3.  Risk-Reducing Strategies for Ovarian Cancer in BRCA Mutation Carriers: A Balancing Act.

Authors:  Roi Tschernichovsky; Annekathryn Goodman
Journal:  Oncologist       Date:  2017-03-17

Review 4.  Triple-negative breast cancer: epidemiological considerations and recommendations.

Authors:  P Boyle
Journal:  Ann Oncol       Date:  2012-08       Impact factor: 32.976

5.  Global cancer statistics, 2012.

Authors:  Lindsey A Torre; Freddie Bray; Rebecca L Siegel; Jacques Ferlay; Joannie Lortet-Tieulent; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2015-02-04       Impact factor: 508.702

Review 6.  Highly penetrant hereditary cancer syndromes.

Authors:  Rebecca Nagy; Kevin Sweet; Charis Eng
Journal:  Oncogene       Date:  2004-08-23       Impact factor: 9.867

7.  Low proportion of BRCA1 and BRCA2 mutations in Finnish breast cancer families: evidence for additional susceptibility genes.

Authors:  P Vehmanen; L S Friedman; H Eerola; M McClure; B Ward; L Sarantaus; T Kainu; K Syrjäkoski; S Pyrhönen; O P Kallioniemi; T Muhonen; M Luce; T S Frank; H Nevanlinna
Journal:  Hum Mol Genet       Date:  1997-12       Impact factor: 6.150

8.  The contribution of founder mutations to early-onset breast cancer in French-Canadian women.

Authors:  P Ghadirian; A Robidoux; P Zhang; R Royer; M Akbari; S Zhang; E Fafard; M Costa; G Martin; C Potvin; E Patocskai; N Larouche; R Younan; E Nassif; S Giroux; S A Narod; F Rousseau; W D Foulkes
Journal:  Clin Genet       Date:  2009-11       Impact factor: 4.438

9.  Breast cancer risk among male BRCA1 and BRCA2 mutation carriers.

Authors:  Yu Chuan Tai; Susan Domchek; Giovanni Parmigiani; Sining Chen
Journal:  J Natl Cancer Inst       Date:  2007-11-27       Impact factor: 13.506

10.  Mutational spectrum in a worldwide study of 29,700 families with BRCA1 or BRCA2 mutations.

Authors:  Timothy R Rebbeck; Tara M Friebel; Eitan Friedman; Ute Hamann; Dezheng Huo; Ava Kwong; Edith Olah; Olufunmilayo I Olopade; Angela R Solano; Soo-Hwang Teo; Mads Thomassen; Jeffrey N Weitzel; T L Chan; Fergus J Couch; David E Goldgar; Torben A Kruse; Edenir Inêz Palmero; Sue Kyung Park; Diana Torres; Elizabeth J van Rensburg; Lesley McGuffog; Michael T Parsons; Goska Leslie; Cora M Aalfs; Julio Abugattas; Julian Adlard; Simona Agata; Kristiina Aittomäki; Lesley Andrews; Irene L Andrulis; Adalgeir Arason; Norbert Arnold; Banu K Arun; Ella Asseryanis; Leo Auerbach; Jacopo Azzollini; Judith Balmaña; Monica Barile; Rosa B Barkardottir; Daniel Barrowdale; Javier Benitez; Andreas Berger; Raanan Berger; Amie M Blanco; Kathleen R Blazer; Marinus J Blok; Valérie Bonadona; Bernardo Bonanni; Angela R Bradbury; Carole Brewer; Bruno Buecher; Saundra S Buys; Trinidad Caldes; Almuth Caliebe; Maria A Caligo; Ian Campbell; Sandrine M Caputo; Jocelyne Chiquette; Wendy K Chung; Kathleen B M Claes; J Margriet Collée; Jackie Cook; Rosemarie Davidson; Miguel de la Hoya; Kim De Leeneer; Antoine de Pauw; Capucine Delnatte; Orland Diez; Yuan Chun Ding; Nina Ditsch; Susan M Domchek; Cecilia M Dorfling; Carolina Velazquez; Bernd Dworniczak; Jacqueline Eason; Douglas F Easton; Ros Eeles; Hans Ehrencrona; Bent Ejlertsen; Christoph Engel; Stefanie Engert; D Gareth Evans; Laurence Faivre; Lidia Feliubadaló; Sandra Fert Ferrer; Lenka Foretova; Jeffrey Fowler; Debra Frost; Henrique C R Galvão; Patricia A Ganz; Judy Garber; Marion Gauthier-Villars; Andrea Gehrig; Anne-Marie Gerdes; Paul Gesta; Giuseppe Giannini; Sophie Giraud; Gord Glendon; Andrew K Godwin; Mark H Greene; Jacek Gronwald; Angelica Gutierrez-Barrera; Eric Hahnen; Jan Hauke; Alex Henderson; Julia Hentschel; Frans B L Hogervorst; Ellen Honisch; Evgeny N Imyanitov; Claudine Isaacs; Louise Izatt; Angel Izquierdo; Anna Jakubowska; Paul James; Ramunas Janavicius; Uffe Birk Jensen; Esther M John; Joseph Vijai; Katarzyna Kaczmarek; Beth Y Karlan; Karin Kast; KConFab Investigators; Sung-Won Kim; Irene Konstantopoulou; Jacob Korach; Yael Laitman; Adriana Lasa; Christine Lasset; Conxi Lázaro; Annette Lee; Min Hyuk Lee; Jenny Lester; Fabienne Lesueur; Annelie Liljegren; Noralane M Lindor; Michel Longy; Jennifer T Loud; Karen H Lu; Jan Lubinski; Eva Machackova; Siranoush Manoukian; Véronique Mari; Cristina Martínez-Bouzas; Zoltan Matrai; Noura Mebirouk; Hanne E J Meijers-Heijboer; Alfons Meindl; Arjen R Mensenkamp; Ugnius Mickys; Austin Miller; Marco Montagna; Kirsten B Moysich; Anna Marie Mulligan; Jacob Musinsky; Susan L Neuhausen; Heli Nevanlinna; Joanne Ngeow; Huu Phuc Nguyen; Dieter Niederacher; Henriette Roed Nielsen; Finn Cilius Nielsen; Robert L Nussbaum; Kenneth Offit; Anna Öfverholm; Kai-Ren Ong; Ana Osorio; Laura Papi; Janos Papp; Barbara Pasini; Inge Sokilde Pedersen; Ana Peixoto; Nina Peruga; Paolo Peterlongo; Esther Pohl; Nisha Pradhan; Karolina Prajzendanc; Fabienne Prieur; Pascal Pujol; Paolo Radice; Susan J Ramus; Johanna Rantala; Muhammad Usman Rashid; Kerstin Rhiem; Mark Robson; Gustavo C Rodriguez; Mark T Rogers; Vilius Rudaitis; Ane Y Schmidt; Rita Katharina Schmutzler; Leigha Senter; Payal D Shah; Priyanka Sharma; Lucy E Side; Jacques Simard; Christian F Singer; Anne-Bine Skytte; Thomas P Slavin; Katie Snape; Hagay Sobol; Melissa Southey; Linda Steele; Doris Steinemann; Grzegorz Sukiennicki; Christian Sutter; Csilla I Szabo; Yen Y Tan; Manuel R Teixeira; Mary Beth Terry; Alex Teulé; Abigail Thomas; Darcy L Thull; Marc Tischkowitz; Silvia Tognazzo; Amanda Ewart Toland; Sabine Topka; Alison H Trainer; Nadine Tung; Christi J van Asperen; Annemieke H van der Hout; Lizet E van der Kolk; Rob B van der Luijt; Mattias Van Heetvelde; Liliana Varesco; Raymonda Varon-Mateeva; Ana Vega; Cynthia Villarreal-Garza; Anna von Wachenfeldt; Lisa Walker; Shan Wang-Gohrke; Barbara Wappenschmidt; Bernhard H F Weber; Drakoulis Yannoukakos; Sook-Yee Yoon; Cristina Zanzottera; Jamal Zidan; Kristin K Zorn; Christina G Hutten Selkirk; Peter J Hulick; Georgia Chenevix-Trench; Amanda B Spurdle; Antonis C Antoniou; Katherine L Nathanson
Journal:  Hum Mutat       Date:  2018-03-12       Impact factor: 4.700

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