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Article

The Spectrum of Genetic Mutations Among Patients with Hereditary Breast and Ovarian Cancer

1
Genetics Center, Government Hospitals, Manama P.O. Box 12, Bahrain
2
The Royal College of Surgeons in Ireland, Medical University of Bahrain, Busaiteen P.O. Box 15503, Bahrain
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2025, 14(13), 4536; https://doi.org/10.3390/jcm14134536
Submission received: 7 April 2025 / Revised: 3 June 2025 / Accepted: 12 June 2025 / Published: 26 June 2025
(This article belongs to the Section Oncology)

Abstract

Background: Breast cancer (BC) is the leading female cancer globally, with Bahrain having the highest incidence in the GCC. In this study, we aimed to identify and describe the high-risk pathogenic/likely pathogenic mutations in a cohort of 160 Bahraini patients who underwent genetic testing for hereditary cancer susceptibility genes. Methods: This study included 160 women referred to Bahrain’s Government Hospitals for genetic analysis between January 2021 and May 2024. All women underwent NGS cancer gene panel testing. Demographic and clinical data were recorded for each patient. Categorical variables were described using frequencies and percentages, and continuous data was depicted using means and standard deviations or medians. Results: Pathogenicity was significantly higher in individuals with high-risk mutations compared to those with medium- and low-risk mutations. However, mortality was highest among those with medium-risk mutations, exceeding that of both the high- and low-risk groups. Conclusions: In Bahrain, the genetic profile of BC germline mutations aligns closely with international data. However, further research is needed to assess moderate- and low-risk mutations and their pathogenicity within the diverse ethnic populations of the Middle East.

1. Introduction

Breast cancer (BC) is the most frequently diagnosed malignancy and the leading cause of cancer deaths in females worldwide, with an estimated 2.3 million new cancer cases (one in four new cancer cases) and 685,000 cancer deaths (one in six deaths) in 2020 [1]. It is a multifactorial disease caused by a complex interplay between genetic and environmental/lifestyle factors [2]. It is currently estimated that hereditary breast and ovarian cancer (HBOC) accounts for 5–10% of all BC cases and is inherited in an autosomal dominant manner. The large number of cases of HBOC syndrome is caused by the presence of germline mutations in either the BRCA1 or the BRCA2 gene located on chromosome 17q21 and 13q12-13, respectively [3]. These two high-penetrant genes, which act as tumor and cell growth suppressors, are fundamental for normal cell function and genomic stability.
Compared to other Gulf Cooperation Council (GCC) states, Bahrain has the highest incidence of BC, which accounts for 44.4% of all female cancers in 2022 [4]. The estimated incidence of BC in Bahrain is 117 per 100,000 women, and the age-standardized incidence rate (ASR) per 100,000 is 58.5, exceeding that for all other GCC countries [4,5]. For instance, in Saudi Arabia, the ASR is three times less than in Bahrain (ASR 19.76) [6]. As BC can be attributed to many risk factors including atmospheric pollution [7], it is difficult to pinpoint the cause of the remarkable increase in Bahrain. Albeshan S. et al. stated that the overall mean age at diagnosis of BC in GCC countries was 50.6 years compared to 60 years in Western countries [8]. In Bahrain, the overall mean age at diagnosis ranged between 50.9 and 51.8 years [5,9], respectively.
BRCA1- and BRCA2-associated hereditary breast and ovarian cancer (HBOC) is characterized by an increased risk for male and female BC, ovarian cancer (including fallopian tube and primary peritoneal cancers), and, to a lesser extent, other cancers, such as prostate, pancreatic, and melanoma [10]. However, not all cases of HBOC can be attributed to BRCA1 and BRCA2, as more than 20 other genes have been associated with an increased risk of familial breast and/or ovarian cancer [11].
In previous years, BC genetic testing for women with family histories of breast or ovarian cancer has become a part of clinical practice in many countries. However, the test is generally limited to BRCA1/2 mutations, and no further investigation is offered for patients with negative results. Recently, exome sequencing has uncovered substantial locus heterogeneity among affected families without BRCA1 or BRCA2 mutations [11]. Numerous studies have shown that germline pathogenic variants in genes like ATM, BARD1, BLM, CDH1, CHEK2, MUTYH, PALB2, PTEN, RAD51C, RAD51D, TP53, and others are associated with an increased BC risk [12]. One of the most recognized testing policies is the National Comprehensive Cancer Network (NCCN) guidelines, which recommend using risk stratification when selecting both unaffected and affected women for testing [13].
Establishing the presence of pathogenic mutations in BC patients is important, both in terms of imaging diagnosis and screening for the affected as well as the non-affected family member and in the therapeutic management and subsequent follow-up of these patients [14].
Studies on the prevalence of these high-penetrance mutations in the Bahraini population are limited and are mainly focused on pathogenic or potentially pathogenic mutations in the BRCA1 and BRCA2 genes [15]. A recent study investigated the germline variants in 54 Bahraini women with BC using a next-generation-sequencing-based multigene panel, which yielded additional genomic information on low-penetrance genes, although the clinical significance of these genes has not been fully appreciated yet [16].
Our study aimed to identify and describe the high-risk pathogenic/likely pathogenic mutations in a cohort of 160 Bahraini patients who were referred for genetic testing either because they fit the NCCN criteria for genetic testing or they have a high risk of having HBOC.
In Bahrain and other GCC countries that share similar demographic, cultural, and lifestyle traits as well as healthcare systems, these results will serve as a cornerstone for hereditary BC risk-assessment programs. They will also provide a framework for screening, genetic testing, and the management of familial BC.

2. Materials and Methods

This study used a retrospective cohort of women referred to the Genetics Center, Government Hospitals (Bahrain) between 1 January 2021 and 15 May 2024. The data was accessed starting from 6 March 2024 to 30 September 2024. The sample included 160 women who were referred to and consulted at the Genetic Center/(GH) in Bahrain. All included women had their blood tested with an NGS cancer gene panel, regardless of their family history of breast or any other malignant tumors. The clinical diagnosis and classification of BC were in accordance with the World Health Organization criteria. These patients had undergone genetic testing as per the Genetic Center and Pathology Department’s policy, which is in line with the NCCN guidelines. The results were recorded at the genetic center database. All patients provided informed written consent to have genetic data from their medical records used in research.
Demographic and clinical data were recorded for each patient. This study was conducted in accordance with the Helsinki declaration. Ethical approval was obtained from the Research and Ethics Committee of GH and the Research and Ethics Committee of the Royal college of Surgeons in Ireland-Bahrain.

2.1. Inclusion Criteria

This study included women referred to the Genetic Center at the GH for genetic analysis because they are Bahraini women between the ages of 18 and 74 years and fitting one or more of the following criteria: early onset BC (less than 50 years), triple negative BC, bilateral or recurrent BC, breast and other primary cancer, personal history of ovarian cancer, at-risk, cancer-free patients with a family history of malignancy (according to the NCCN guidelines), at least one first-degree relative or two second-degree relatives with BC, metastatic BC for therapeutic decisions.

2.2. Exclusion Criteria

Patients were excluded if they were non-Bahraini, male (because there were none during the data collection timeframe), or if genetic testing was performed for reasons not aligned with the NCCN guidelines.
In this study, we used NGS panels of 70–143 susceptibility BC genes provided by overseas partners through the GH (Centocancer® panel-Am Strande 7, 18055 Rostock, Mecklenburg-Vorpommern Germany/Medgenome comprehensive cancer panel®-Bangalore South, Karnataka 560100, India). These genes were selected based on the available evidence of their association with hereditary cancer syndromes [17,18].
We classified our patients’ pathology findings according to the World Health Organization (WHO) classification of breast tumors [19].

2.3. Genetic Testing Workflow

Genomic DNA was isolated from EDTA-anticoagulated whole blood (Qiagen QIAamp DNA Mini-Qiagen Straße 1, 40724 Hilden, Nordrhein-Westfalen, Germany). Library preparation used hybrid-capture commercial kits (Centogene CentoCancer® and MedGenome Comprehensive Cancer Panel®). Target enrichment covered 70–143 cancer-susceptibility genes with ≥99% of bases at ≥100×. Sequencing was performed on Illumina NextSeq 550 instruments (5200 Illumina Way, San Diego, CA 92122, USA). Reads were aligned to GRCh38 with BWA-MEM; variant calling employed GATK v4.2 HaplotypeCaller; annotation utilized Illumina VariantInterpreter v2.17.0, ClinVar 2024-01, gnomAD v4, and in-house Middle-East frequencies. Variants were classified using the ACMG/AMP 2015 criteria. Orthogonal Sanger confirmation was performed for all (likely) pathogenic findings.

2.4. Statistical Analysis

We described continuous data as either the mean ± SD or median [IQR] where appropriate. Categorical variables were described using frequencies and percentages and analyzed using either Pearson χ2 or Fisher’s exact tests. Normality for continuous variables was assessed using the Shapiro–Wilk test. Analysis for continuous variables was performed using either a Student’s t or Mann–Whitney U test where appropriate. Survival was estimated with the Kaplan–Meier method. Hazard ratios and corresponding 95% confidence intervals were estimated using multivariable Cox proportional-hazards models adjusted for age at diagnosis and family-history burden. Analyses were executed in SPSS v26 and Stata 18; p < 0.05 was considered significant.

3. Results

The characteristics of the study participants are summarized in Table 1. Among the 160 patients included, 26 (16%) were at-risk, cancer-free, while 134 (84%) were already diagnosed with cancer. The mean age of all participants was 54.58 years (SD 11.32 years), while the mean age at diagnosis was 39 years (SD 19.15 years), with 63 patients (47%) diagnosed between the ages of 30 and 49 years. Only four patients (3%) were diagnosed before the age of 29 years.
When asked about a family history of cancer, 135 patients (84%) reported a positive family history, while 23 (14%) had none. Among those with a positive family history, 71 (44%) had first-degree relatives diagnosed with one of the following: BC before the age of 50 years, ovarian, pancreatic, prostate, or male BC. Eight participants (5%) reported at least three affected family members on the same side of the family with breast, prostate, ovarian, or pancreatic cancer. Similarly, eight patients (5%) had first- or second-degree relatives with colon or uterine cancer. Additionally, 48 patients (30%) had other blood relatives with cancer.
Of the affected participants, 109 (81%) had only BC, 5 (4%) had only ovarian cancer, and 20 (15%) had a combination of BC and other cancers, including ovarian cancer.
Among patients with BC, 101 (77%) had unilateral breast involvement, while 30 (23%) experienced either recurrence or bilateral breast involvement. The majority of patients, 97 (89%), were not classified as triple-negative, whereas 12 (11%) were classified as triple-negative.
In terms of pathology, 54 BC cases (74%) were diagnosed as invasive ductal carcinoma, 12 (16%) were diagnosed as invasive lobular carcinoma, 2 (3%) were diagnosed as in situ intraductal carcinoma, 1 (1%) was diagnosed as in situ lobular carcinoma, and 1 was diagnosed (1%) as invasive papillary carcinoma.
BRCA1 mutations were identified in ten participants (17%), BRCA2 mutations were identified in eight (14%), and ATM mutations were identified in five (8%). Mutations in MSH2 and CHEK2 were found in three patients each (5%), PALB2 mutations were found in two patients (3%), and TP53 and MSH6 mutations were found in one patient each (2%). Additionally, 26 patients (44%) had mutations in other lower-risk genes.
Of all mutations detected, 23 (39%) were classified as pathogenic, while 36 (61%) were variants of unknown significance (VUS). Among the pathogenic mutations, 18 (32%) were categorized as high risk, 10 (17%) were classified as moderate risk, and 30 (51%) were classified as low risk.
Among those with cancer, 22 patients (16%) had metastases, while 111 (83%) did not. At the time of the study, 151 participants (94%) were alive, and 9 (6%) had passed away.
With respect to the categorization of risk of the individual mutations (Figure 1), it was found that 19 participants (32%) had mutations in the high-risk category, 10 participants (17.2%) had medium-risk mutations, and 30 participants (51%) had low-risk mutations.
A comparison of sociodemographic and clinical characteristics across those affected by cancer and those who were not revealed that the two groups were comparable, with the exception of family history and age distribution (Table 2). All the at-risk, cancer-free participants (n = 26) had a family history of BC compared to 81.3% of those affected with cancer (p = 0.056). In terms of the type of family history, most of the at-risk, cancer-free participants (n = 23, 88.5%) had a first-degree relative with breast, ovarian, pancreatic, or prostate cancer compared to only 35% of those with cancer (p < 0.001).
The clinical and sociodemographic attributes were compared across categories of mutations as well (Table 3). Pathogenicity was significantly higher (72%) in those with high-risk mutations versus those with medium- (30%) and low-risk (20%) mutations at p < 0.001. Mortality was highest in those with medium-risk mutations (20%) compared to those with high-risk (16.7%) and low-risk (10%) mutations (p = 0.004). Similarly, the history of a first-degree relative with cancer was highest in those with medium-risk mutations (70%) compared to high-risk (60%) and low-risk (40%) mutations, with p = 0.033. Lastly, more of the medium-risk participants metastasized (40%) compared to the high-risk (22%) and low-risk (30%) participants (p = 0.006). Tumor pathology, laterality, and triple-negative subtype were similar across the three categories of mutations.
Although the participants with high-risk mutations (Table 4) were diagnosed much earlier (mean age = 37 years) compared to those with medium- and low-risk mutations (46 years and 43 years, respectively), the difference was not statistically significant (p = 0.250). Similarly, those with at least three family members with cancers on the same side of the family were diagnosed at a significantly younger age (mean age at diagnosis = 34.29 years, p = 0.017) compared to those with other types of family history of cancer. Those with first-degree relatives were diagnosed at a similarly young age (mean age at diagnosis = 35.88 years).
Hazard ratios comparing mortality across types of mutations (Figure 2) found that high-risk mutations were significantly associated with mortality (HR = 23.1, =0.017) after adjusting for age at diagnosis and family history. Similarly, medium-risk mutations were also found to have significantly higher hazards of death (HR = 22.7, p = 0.020). Given the low numbers of death, the confidence intervals were quite wide, indicating low precision of the estimates.

4. Discussion

In this study, we reviewed patients for whom a comprehensive NGS cancer panel was requested, primarily based on the NCCN guidelines. In total, 160 participants fulfilling the criteria were included. The mean age at diagnosis was 39 years, aligning with the observed trend of a younger age at BC diagnosis in Bahrain and the GCC [8]. However, this is notably lower than the average age at diagnosis reported for the general population of women with BC. This discrepancy is likely due to the inclusion of a specific subtype of women in our study cohort.
Our cohort confirms a 39% pathogenic and likely pathogenic P/LP mutation rate, with BRCA1/2 accounting for one-third. Pathogenicity was enriched among high-risk genes, yet mortality was highest in the medium-risk group—echoing emerging evidence that ATM/CHEK2/PALB2 aberrations may portend adverse outcomes unless detected early.
In comparison to studies in other GCC countries, a Saudi (Western Province) cohort found 24.4% of 209 patients carried P/LP variants, with BRCA1 predominance and a strong association with triple-negative disease [20]. In the United Arab Emirates (Dubai cohort, 2017–2022), among 443 mixed-ethnicity patients, 15% harbored BRCA1/2 P/LP, and a further 4% carried actionable non-BRCA variants [21]. High-quality prevalence data remain scarce in Qatar and Kuwait, but a 2019 Arab-wide meta-analysis estimated a pooled BRCA mutation rate of 22% in Gulf populations [22].
Incidence trends show Qatar and Kuwait now rival Bahrain, with age-standardized rates of 56.9 and 52.66 per 100,000, respectively [6], which is still below Bahrain’s 58.5 but above Saudi’s 19.8.
Collectively, our 39% P/LP prevalence exceeds regional averages, likely reflecting (i) stringent NCCN-based selection and (ii) adoption of broad 143-gene panels.
In general, the prevalence of a positive family history of any BC is around 15%. However, in this study, the majority (84%) of participants had a family history of BC, with 44% involving first-degree relatives. This high percentage can be attributed to the fact that the sample was preselected based on genetic testing criteria. Future research would benefit from comparing these values with a control group of women diagnosed with BC who do not meet the NCCN criteria.
Interestingly, family history was significantly higher (100%) in the disease-free group (p = 0.056). This aligns with expectations, since the participants were selected for genetic testing following the NCCN guidelines, which heavily emphasize family history. Most individuals in the disease-free group had a first-degree relative with breast, ovarian, pancreatic, or prostate cancer compared to only about one-third of those with cancer (p < 0.001) (Table 2). It is important to note that these participants were disease free at the time of the study. Prospective studies will be needed to determine whether they develop BC in the future.
Despite the importance of family history, some studies doubt relying solely on it. A prospective multicenter study, for instance, found that 48% of their patients have actionable mutations that would have been missed if they had followed only the phenotype or family history as the criterion for testing [23]. Therefore, genetic testing is encouraged regardless of family history.
Triple-negative BC (TNBC) is notorious for lacking receptors for estrogen, progesterone, and human epidermal growth factor receptor 2 (HER2), which makes it difficult to respond to conventional treatment. It accounts for 15% of all BCs [24]. In our study, only 11% of patients had TNBC. A few studies showed that having a first-degree family history of BC was associated with an increased risk of triple-negative BC [25]. In this study, the patients with moderate-risk mutations exhibited a higher incidence of TNBC compared to those with high-risk mutations—an unexpected and conflicting observation. This paradox may be attributed to the small sample size and potential referral bias.
The most common type of cancer in our sample was invasive ductal carcinoma, accounting for 74% of the cases, which is close to the international figure of 80% [26]. Invasive lobular carcinoma came in second (16%), and the international percentage is 10–15% [27]. Other less common types accounted for 9% of all tumors in our sample.
BRCA1 and BRCA2 mutations were broadly studied in terms of prevalence among patients with BC. Two remarkable observations among Ashkenazi Jews and Icelanders highlighted a high incidence of specific mutations in these genes. BRCA1 mutations were detected in 20% of patients diagnosed before the age of 42 years, and BRCA2 mutations were detected in 8% of the cases. In contrast, 24% of the women in Iceland with BC diagnosed before the age of 40 years had an isolated BRCA2 mutation [28,29]. Both populations represent a classic founder effect. In the UK, however, mutations of these genes were detected in around 6% of women diagnosed with BC before the age of 36 years (3.5% in BRCA1 and 2.4% in BRCA2), while in women diagnosed between the ages of 36 years and 45 years, 4% had mutations in BRCA1 and 2% had mutations in BRCA2 [30].
In this study, BRCA1 and BRCA2 mutations accounted for 31% of all mutations (17% in BRCA1 and 14% in BRCA2). This figure almost matches the 31.9% of mutations in BRCA1 and BRCA2 observed by an Indian study among 160 unrelated patients [31]. A recent study conducted in India on 155 patients found 83% of mutations were in these two genes (66% in BRCA1 and 17% in BRCA2) [32].
P/LP variants were detected in 39% of our sample, and 61% were VUS. A comparable result (41%) of P/LP was observed [32]. However, Chheda et al. reported a lower percentage for VUS (6.25%) [31]. This remarkable difference in results can be attributed to the extended nature of the NGS panel we used, as the higher the number of genes included, the more VUS can be expected. Furthermore, expansive NGS panels and under-representation of Arab genomes inflate the rate of VUS.
In our study, other pathogenic gene mutations (non-BRCA) accounted for 17%, which is comparable to other studies. For instance, studies reported 22.6%, 15%, and 11.9% [32,33,34], respectively. For other high-penetrance genes, only one (1%) mutation in the PT53 gene was detected. For moderate-penetrance genes, five (8%) mutations in the ATM gene were reported, and three (5%) mutations in the CHEK2 gene were reported.
In contrast to international figures, where high-penetrant genes contribute to around 25% of hereditary BC, in our study, they only accounted for a minority of 2%. Almost half of the variants detected were classified as low penetrance in this sample as compared to 70% internationally [35].
Regarding the pathogenicity of germline mutations and risk classification, we found that pathogenicity was significantly higher in individuals with high-risk mutations compared to those with medium- and low-risk mutations, supporting the accuracy of our genetic reports. However, mortality was highest among those with medium-risk mutations, exceeding that of both the high- and low-risk groups. This might be due to the limited sample size or delayed diagnosis and treatment.

5. Limitations

This study included all attendees of the genetics center who had their blood genetically tested during the study period, thereby minimizing selection bias. However, this study was limited to a specific timeframe, encompassing only attendees from two years. This restriction led to a smaller sample size, which might have impacted the precision and generalizability of our findings. Additionally, the retrospective nature of this study relied on existing records, which could introduce potential information bias due to incomplete or inaccurate documentation. Certain clinical data provided by the participants, such as family history and the specific types of cancers affecting family members, could not be independently verified, as some individuals received treatment outside the country, and corresponding medical records were unavailable.
Furthermore, the use of stringent criteria—such as the NCCN guidelines—by the genetic center to select eligible patients for genetic testing has limited the generalizability of our results to the broader local population. We also faced challenges, including incomplete treatment data, the absence of male cases, and limited regional genomic resources.

6. Recommendations

6.1. Public-Health Implications

Effective preventive programs at all levels—including awareness campaigns, screening, and rehabilitation—are essential. We strongly advocate for the widespread availability of genetic counseling and testing, given their critical role in prevention, diagnosis, and treatment. Bahrain’s young age at onset (<40 years) and the high frequency of pathogenic/likely pathogenic (P/LP) variants support the need for population-level risk assessment pathways, tiered genetic counseling models, and the integration of germline findings into multidisciplinary tumor boards across the GCC.
We also recommend incorporating risk-assessment tools into primary care, surgical, and oncology settings, with an emphasis on the importance of family history in breast and other hereditary cancers.
Regional collaborative efforts must be initiated, and pan-Arab variant curation networks must be established to help reduce the rate of variants of uncertain significance (VUS).

6.2. Future Research

We recommend conducting a larger, prospective study encompassing all patients referred for genetic testing, including male patients, with a focus on evaluating the effectiveness of cascade screening and genetic counseling. A comparative study should also be encouraged to compare the results with a matched control group of BC women without a family history of BC. As observed from this study, medium-risk mutations are significantly associated with a poorer prognosis. Therefore, further investigation is needed.

7. Conclusions

Genetic testing and counseling are increasingly recognized as vital components in BC management. In Bahrain, the genetic profile of BC germline mutations aligns closely with international data. This study is a milestone in understanding the genetic basis of breast cancer in Bahrain, offering actionable insights for early detection, not only for those with a family history but for all cancer patients. It also alerts the country to update the national cancer control strategies. Its findings are poised to improve testing policies.
This study lays the groundwork for further research into moderate- and low-risk mutations, particularly in ethnically diverse populations in Bahrain and the wider Middle East, where unique genetic variations may exist but are currently underexplored.

Author Contributions

Conceptualization, A.A.H. and G.J.; methodology, N.K.; software, A.A.H., A.A.A., G.J. and N.K.; validation, N.K., A.A.A. and G.J.; formal analysis, N.K. and G.J.; investigation, A.A.H. and A.A.A.; resources, A.A.H. and A.A.A.; data curation, A.A.H.; writing—original draft preparation, A.A.H. and G.J.; writing—review and editing, A.A.H., A.A.A. and G.J.; visualization, A.A.H. and G.J.; supervision, A.A.H.; project administration, A.A.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was conducted in accordance with the Helsinki declaration. Ethical approval was obtained from the Research and Ethics Committee of GH, code: 11-180124, approval date: 18-01-2024 and the Research and Ethics Committee of the Royal college of Surgeons in Ireland-Bahrain, code: Fast-Track/2024/49/Staff/04-Mar-2024, approval date: 4 March 2024.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author upon approval from the Government Hospitals Administration.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

ASRage-standardized incidence rate
BCbreast cancer
GCCGulf Cooperation Council
GHGovernmental Hospitals
HBOChereditary breast and ovarian cancer
HER2human epidermal growth factor receptor 2
NCCNNational Comprehensive Cancer Network
NGSnext generation sequencing
P/LPpathogenic and likely pathogenic
TNBCtriple-negative breast cancer
VUSvariant of unknown significance
WHOWorld Health Organization

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Figure 1. Mutation category among those who have mutations (N = 58).
Figure 1. Mutation category among those who have mutations (N = 58).
Jcm 14 04536 g001
Figure 2. Hazards of mortality across mutation types (N = 128). Hazards of mortality across mutation types (N = 128) after adjusting for age at diagnosis and family history.
Figure 2. Hazards of mortality across mutation types (N = 128). Hazards of mortality across mutation types (N = 128) after adjusting for age at diagnosis and family history.
Jcm 14 04536 g002
Table 1. Characteristics of participants (n = 160).
Table 1. Characteristics of participants (n = 160).
VariableNumber or Mean (SD), Median%
Status
Affected with cancer13483.8
Asymptomatic (no cancer diagnosis) with strong family history2616.2
Age (years), Mean (SD)54.58 (11.32), 56
Age categories (years)
20–2942.5
30–3995.6
40–494226.3
50–595031.3
≥605534.4
Age at diagnosis (years), Mean (SD)39.13 (19.15)
Age at diagnosis categories (years)
20–2943
30–391914
40–496347
50–594030
≥6086
Family history of Cancer
Yes13584
No2214
Missing32
Type of family history
No family history2214
One or more first degree with breast (age 50 years or less), ovarian, pancreatic, prostate, male breast7144
At least 3 with breast, prostate, ovarian, pancreatic on the same side of the family85
1st or 2nd degree with colon or uterine CA85
Any other blood relative with cancer4830
Missing32
Type of cancer in the participant
Breast10981
Ovarian54
Both breast and ovarian11
Breast and other combination1813
Ovarian and other combination11
Laterality and Recurrence
Bilateral and/or recurrent3023
Unilateral and/or no recurrent10177
Triple negative
Yes1211
No9789
Pathology
In situ intraductal23
In situ lobular11
Invasive ductal5474
Invasive lobular1216
Invasive medullary00
Invasive papillary11
Invasive tubular00
Other34
Type of mutation
BRCA11017
BRCA2814
ATM58
MSH235
CHEK235
PALB223
MSH612
TP5312
Others2644
Pathogenicity
Pathogenic2339
VUS3661
Mutation Category
High risk1932
Moderate risk1017
Low risk3051
Metastasis
Yes2216
No11183
No data available11
Status
Alive15194
Deceased96
Table 2. Sociodemographic and clinical data by status of patient (affected vs. at-risk, cancer-free).
Table 2. Sociodemographic and clinical data by status of patient (affected vs. at-risk, cancer-free).
VariableStatusp-Value
Affected by Breast Cancer (n = 134)
Mean (SD) or N (%)
No Cancer Diagnosis (n = 26)
Mean (SD) or N (%)
Age (years), Mean (SD)56.63 (10.39)43.48 (9.67)0.509
Age categories (years)
20–292 (1.5%)2 (7.7%)˂0.001
30–394 (3.0%)5 (19.2%)
40–4929 (21.6%)13 (50.0%)
50–5945 (33.6%)5 (19.2%)
≥6054 (40.3%)1 (3.8%)
Age at diagnosis (years), Mean (SD)46.37 (9.84)NA
Age at diagnosis categories (years)
20–294 (3.0%)NANA
30–3919 (14.2%)
40–4963 (47.0%)
50–5940 (29.9%)
≥608 (6.0%)
Family history of Cancer
Yes109 (81.3%)26 (100%)0.056
No22 (17.2%)0
Missing3 (1.5%)0
Type of family history
No family history22 (16.4%)0˂0.001
One or more first degree with breast (age 50 years or less), ovarian, pancreatic, prostate, male breast48 (35.8%)23 (88.5%)
At least 3 with breast, prostate, ovarian, pancreatic on the same side of the family6 (4.5%)2 (7.7%)
1st or 2nd degree with colon or uterine CA8 (6.0%)0
Any other blood relative with cancer47 (35.1%)1 (3.8%)
Missing3 (3.0%)0
Type of cancer in the participant
Breast109 (81.3%)NANA
Ovarian5 (3.7%)
Both breast and ovarian1 (0.7%)
Breast and other combination18 (13.4%)
Ovarian and other combination1 (0.7%)
Laterality
Yes2 (1.5%)NANA
No30 (22.4%)
Missing102 (76.1%)
Triple negative
Yes12 (9.0%)NANA
No97 (72.4%)
Missing20 (14.9%)
Not applicable (Ovarian)5 (3.7%)
Pathology
In situ intraductal2 (1%)NANA
In situ lobular1 (1%)
Invasive ductal54 (40%)
Invasive lobular12 (9%)
Invasive medullary0
Invasive papillary1 (1%)
Invasive tubular0 (0%)
Other3 (2%)
Missing56 (42%)
Not applicable (ovarian) *5 (%)
Type of mutation
None82 (61%)19 (73%)0.615
BRCA17 (5%)3 (12%)
BRCA27 (5%)1 (4%)
PALB22 (1%)0 (0%)
MSH22 (1%)1 (4%)
MSH61 (1%)0 (0%)
TP531(1%)0 (0%)
ATM5 (4%)0 (0%)
CHEK23 (2%)0 (0%)
Others **24 (18%)2 (8%)
Metastasis
Yes22 (16.4%)NANA
No110 (82.1%)
Missing2 (1.5%)
Status
Alive125 (93.3%)26 (100%)0.194 ***
Dead9 (6.7%)0
Pathogenicity
Pathogenic19 (14.2%)4 (15.4%)0.338
VUS33 (24.6%)3 (11.5%)
No mutation82 (61.2%)19 (73.1%)
Pathogenic Mutation Category **
High risk14 (10.4%)4 (15.4%)0.296
Moderate risk10 (7.5%)0
Low risk27 (20.1%)3 (11.5%)
* Participant had ovarian cancer. ** high risk is BRCA1 and 2; medium risk is ATM, CHEK2, PALB2, TP53. *** Fisher’s test.
Table 3. Sociodemographic and clinical data by status of patient (affected vs. at-risk, cancer-free).
Table 3. Sociodemographic and clinical data by status of patient (affected vs. at-risk, cancer-free).
VariableMutation Categoryp-Value
NoneHigh RiskMedium RiskLow Risk
Status
Affected with cancer83 (61.9%)14 (10.4%)10 (7.5%)27 (20.1%)0.296
At-risk, cancer-free (or benign) with strong family history19 (73.1%)4 (15.4%)03 (11.5%)
Family history of Ca
Yes83 (81.4%)18 (100%)10 (100%)24 (80.0%)0.304
No17 (16.7%)006 (20.0%)
Not available2 (2.0%)000
Pathogenicity
Pathogenic1 (1.0%)13 (72.2%)3 (30%)6 (20.0%)˂0.001
VUS05 (27.8%)7 (70%)24 (80.0%)
Not applicable101 (99.0%)000
Alive or dead
Alive101(99.0%)15 (83.3%)8 (80%)27 (90.0%)0.004
Dead1 (1.0%)3 (16.7)2 (20%)3 (10.0%)
Type of family history
No history16 (15.7%)006 (20.0%)0.033
One or more first degree with breast (age 50 years or less), ovarian, pancreatic, prostate, male breast41 (40.2%)11 (61.1%)7 (70.0%)12 (40.0%)
At least 3 with breast, prostate, ovarian, panceatic on the same side of the family5 (4.9%)2 (11.1%)01 (3.3%)
1st or 2nd degree with colon or uterine CA1 (1.0%)1 (5.6%)1 (10.0%)5 (16.7%)
Any other blood relative with cancer36 (35.3%)4 (22.2%)2 (20.0%)6 (20.0%)
Not available3 (2.9%)000
Laterality
Yes18 (17.6%)5 (27.8%)2 (20.0%)5 (16.7%)0.650
No62 (60.8%)9 (50.0%)8 (80.0%)22 (73.3%)
Missing2 (2.0%)000
Not applicable20 (19.6%)4 (22.2%)03 (10.0%)
Triple negative
Yes9 (8.8%)1 (5.6%)1 (10.0%)1 (3.3%)0.091
No64 (62.7%)7 (38.9%)6 (60.0%)20 (66.7%)
Missing7 (6.9%)5 (27.8%)3 (30.0%)5 (16.7%)
Not applicable22 (21.6%)5 (27.8%)04 (13.3%)
Pathology
In situ intraductal2 (2.0%)0000.876
In situ lobular1 (1.0%)000
Invasive ductal36 (35.3%)4 (22.2%)2 (20.0%)12 (40%)
Invasive lobular7 (6.9%)1 (5.6%)2 (20.0%)2 (6.7%)
Invasive papillary1 (1.0%)000
Other2 (2.0%)001 (3.3%)
Missing30 (22.5%)8 (44.4%)6 (60.0%)11 (36.7%)
Not applicable *23 (29.4%)5 (27.8%)04 (13.3%)
Metastases
Yes5 (4.9%)4 (22.2%)4 (40.0%)9 (30.0%)0.006
No77 (75.5%)10 (55.6%)6 (60.0%)18 (60.0%)
Missing2 (2.0%)000
Not applicable18 (17.6%)4 (22.2%)03 (10.0%)
* Participants with no history of cancer.
Table 4. Association between mutation category and age variables using ANOVA.
Table 4. Association between mutation category and age variables using ANOVA.
VariableMutation CategoryNMean (SD)95% CIp-Value
Age at diagnosisNo mutation10237.38 (19.68)(33.52–41.25)0.250
High risk1837.44 (22.39)(26.31–48.58)
Medium risk1046.60 (5.19)(42.89–50.31)
Low risk3043.57 (17.56)(37.01–50.13)
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Hajeri, A.A.; Awadhi, A.A.; Kumar, N.; Jassim, G. The Spectrum of Genetic Mutations Among Patients with Hereditary Breast and Ovarian Cancer. J. Clin. Med. 2025, 14, 4536. https://doi.org/10.3390/jcm14134536

AMA Style

Hajeri AA, Awadhi AA, Kumar N, Jassim G. The Spectrum of Genetic Mutations Among Patients with Hereditary Breast and Ovarian Cancer. Journal of Clinical Medicine. 2025; 14(13):4536. https://doi.org/10.3390/jcm14134536

Chicago/Turabian Style

Hajeri, Amani Al, Amna Al Awadhi, Nitya Kumar, and Ghufran Jassim. 2025. "The Spectrum of Genetic Mutations Among Patients with Hereditary Breast and Ovarian Cancer" Journal of Clinical Medicine 14, no. 13: 4536. https://doi.org/10.3390/jcm14134536

APA Style

Hajeri, A. A., Awadhi, A. A., Kumar, N., & Jassim, G. (2025). The Spectrum of Genetic Mutations Among Patients with Hereditary Breast and Ovarian Cancer. Journal of Clinical Medicine, 14(13), 4536. https://doi.org/10.3390/jcm14134536

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