Abstract
Background
A significant subset of breast cancer cases is attributable to inherited pathogenic genetic variants. Germline genetic testing (GGT), particularly for BRCA1 and BRCA2, represents a critical tool for precision oncology, enabling individualized risk stratification and the development of tailored therapeutic strategies.
Methods
Consecutive newly diagnosed breast cancer patients eligible for GGT testing according to the latest American Society of Clinical Oncology (ASCO) guidelines were enrolled.
Results
During the study period, 1,570 patients were enrolled, median age 51 (22-96) years, majority (n = 1,352, 86.1%) were Jordanian. Based on age criteria, 1,346 (85.7%) patients were eligible for testing. Another 134 (8.5%) were found eligible for testing because of other indications including personal or family history of breast and other cancers (n = 121, 7.7%), triple-negative disease (n = 9, 0.57%) and male gender (n = 4, 0.25%). In total, 1,480 (94.3%) patients were eligible for GGT as per ASCO guidelines, leaving only 90 (5.7%) patients not candidates for testing. Pathogenic/likely pathogenic variants were identified in 23 (7.8%) patients.
Conclusion
Applying universal GGT for all newly diagnosed breast cancer patients, regardless of their age or risk factors, would slightly increase the pool of eligible patients, the burden of which can be justified given its impact on improving referral rate.
Keywords: germline genetic testing, GGT, breast cancer, BRCA1, BRCA2, resource-restrictedcountries, personalized medicine
1. Introduction
Breast cancer continues to be the most common cancer diagnosed among women worldwide (1,2). Median age at diagnosis tends to be significantly lower in low-resource countries compared to Western societies (3,4). Almost half of breast cancer patients, in countries like Jordan, are diagnosed at age 50 years or younger, while only a small proportion are diagnosed after the age of 65 (5).
Pathogenic/likely pathogenic (P/LP) germline variants (PGVs) in cancer-predisposing genes, mostly in BRCA1 and BRCA2 have been linked to the etiology of breast and many other cancers. Identification of individuals with PGVs may reduce cancer burden on patients themselves, whereas at-risk relatives may benefit from intensive screening and risk-reducing strategies (6).
The percentage of breast cancer patients that are positive for BRCA1 or BRCA2 mutations varies depending on strategy utilized and the population tested. In unselected breast cancer cohorts, the prevalence of BRCA1 and BRCA2 P/LP variants is generally reported to be between 1.8% and 2.6% for BRCA1 and 1.3%–2.1% for BRCA2 (7–9). It is important to note that these mutations are more prevalent in certain subgroups, such as those with a family history of breast or ovarian cancer, in those with specific type of breast cancer like triple-negative disease (10), and in specific populations such as Ashkenazi Jewish women, where the prevalence can be higher (11, 12).
The wider adoption of multigene panel testing resulted in identifying other variants, some like PALB2 are associated with an increased risk of breast cancer and may influence decisions regarding risk-reducing strategies and surveillance. Other mutations in genes like CHEK2, BARD1, ATM, RAD51C, RAD51D are linked to breast and other cancers (13, 14).
Patients are undergoing germline genetic testing based on international guidelines, including the National Comprehensive Cancer Network (NCCN) (15) and the American Society of Clinical Oncology (ASCO) (8, 16). These guidelines are frequently updated, and not all physicians, including medical and surgical oncologists, are familiar with such very frequent updates; a factor that may contribute to the lower referral of eligible patients for testing and counseling. Over the past few years, the age at which the NCCN recommends commence testing, regardless of personal or family history of cancer, was raised from 40 years to 45, then 50, and more recently was raised to 65 by the ASCO and the Society of Surgical Oncology (SSO). However, some professional societies, such as The American Society of Breast Surgeons, advocate universal testing of all women with breast cancer regardless of their age or risk factors. Such new direction is supported by several recent publications that showed higher rates of missed opportunities, should we restrict testing to those suggested by the guidelines (17, 18).
Universal germline genetic testing (GGT) via multigene panels (MGP) is not new in the field of cancer care, such practice is currently recommended for patients with ovarian, pancreatic, and metastatic prostate cancers (15).
The complexity of current guidelines, their frequent updates, the lack of dedicated cancer genetics programs, and the shortage of genetic counselors may all create barriers that limit access to genetic testing for eligible cancer patients (19). In this paper, we are testing the feasibility of universal testing of all newly diagnosed breast cancer patients regardless of their age, personal or family history of cancer in a resource-restricted setting.
2. Materials and methods
Study Design: This is a retrospective cohort study aimed to evaluate the implementation of universal GGT for all patients diagnosed with breast cancer in a resource restricted setting. The study was conducted at King Hussein Cancer Center (KHCC) and was approved by the Institutional Review Board (IRB).
Study Population: All consecutive adult patients, aged 18 and older, newly diagnosed with breast cancer were enrolled between 1 January 2023, and 30 April 2024. Data collection was completed by 15 May 2024, which served as the cutoff date for analysis. Patients with both invasive and non-invasive breast cancer diagnoses, including ductal carcinoma in situ (DCIS), were eligible. Exclusion criteria include patients who have previously undergone genetic testing for hereditary cancer syndromes. Given the retrospective nature of the study and lack of identifier, informed consent was waived for study enrollment, but all patients have consented for GGT at time of testing. The study adhered to ethical guidelines for human research. All data were de-identified and patient confidentiality was strictly maintained.
Germline Genetic Testing: Participants eligible for testing as per the NCCN or ASCO guidelines underwent GGT through next-generation sequencing (NGS) panels that assess known breast cancer-associated genes, including BRCA1, BRCA2, TP53, CHEK2, PALB2, and ATM. Testing was performed at an international reference laboratory using a validated, clinically recognized testing platform, and results were returned within two to 4 weeks. Testing was performed on DNA extracted from peripheral blood samples collected within 4 weeks of breast cancer diagnosis. A subset of patients’ relatives with P/LP variants were offered cascade testing after appropriate counseling and were not included in this cohort. A flowchart outlining the genetic testing pathway is provided in Supplementary Figure S2.
Clinical Data Collection: Demographic and clinical data were collected at baseline, including age, sex, nationality, family history of cancer, and tumor pathology. For patients who underwent genetic testing, we also collected data on the guidelines utilized for eligibility (either NCCN or ASCO criteria).
Data Analysis: The primary outcome of the study is to assess the proportion of breast cancer patients who are eligible for GGT as per the latest ASCO guidelines. Secondary outcomes include rates of P/LP variants in patients who underwent genetic testing, comparing those based on NCCN eligibility criteria versus ASCO eligibility criteria. Additionally, age-stratified analysis of P/LP variant frequency was performed. Descriptive statistics were used to summarize demographic and clinical characteristics, and Chi-square tests were used to compare rate of P/LP variants reported outcomes between different genetic test result eligibility.
3. Results
During the study period, a total of 1,570 patients were diagnosed with breast cancer, median age 51 (22-96) years with the majority (n = 1,346, 85.7%) of the patients were 65 years or younger. The distribution of patients’ age groups is illustrated in Figure 1.
FIGURE 1.
Age distribution of enrolled patients.
Except for 11 (0.7%), all were female. Majority (n = 1,352, 86.1%) were Jordanian, while the rest (n = 218, 13.9%) were Arabs from neighboring countries or residing in Jordan. Invasive ductal carcinoma (IDC) was the most common pathology encountered in 1,253 (79.8%), while 150 (9.6%) had invasive lobular carcinoma (ILC) and 102 (6.5%) had ductal carcinoma in situ (DCIS), Table 1.
TABLE 1.
Patients’ characteristics (n = 1,570).
| Characteristic | n (%) |
|---|---|
| Age (years) | |
| Median (range) | 51 (22–96) |
| ≤65 years | 1,346 (85.7%) |
| >65 years | 224 (14.3%) |
| Sex | |
| Female | 1,559 (99.3%) |
| Male | 11 (0.7%) |
| Nationality | |
| Jordanian | 1,352 (86.1%) |
| Other nationalities | 218 (13.9%) |
| Histopathology | |
| Invasive ductal carcinoma (IDC) | 1,253 (79.8%) |
| Invasive lobular carcinoma (ILC) | 150 (9.6%) |
| Ductal carcinoma in situ (DCIS) | 102 (6.5%) |
| Others | 65 (4.1%) |
| Genetic testing | |
| Performed | 1,142 (72.7%) |
| Not performed | 428 (27.3%) |
| Eligibility assessment guidelines | |
| ASCO 2024 | 309 (19.7%) |
| NCCN | 1,261 (80.3%) |
IDC, invasive ductal carcinoma; ILC, invasive lobular carcinoma; DCIS, ductal carcinoma in Situ; NCCN, national comprehensive cancer network; ASCO, american society of clinical oncology.
Among the 1,570 patients, 1,142 (72.7%) underwent genetic testing. Genetic testing eligibility was assessed using NCCN guidelines for 1,261 (80.3%) patients diagnosed in January 2024 or earlier, while the updated 2024 ASCO guidelines were applied to 309 (19.7%) patients thereafter. Among those assessed using ASCO guidelines, 293 (94.8%) patients were eligible for genetic testing, compared to 849 (67.3%) patients using NCCN guidelines (p < 0.001). Among the 1,142 eligible patients who underwent genetic testing, P/LP variants were identified in 23 patients (7.8%) in the ASCO group and 77 patients (9.1%) in the NCCN group (p = 0.524), Table 2.
TABLE 2.
ASCO guidelines-based versus NCCN guidelines-based germline genetic testing.
| Variable | ASCO (n = 309) | NCCN (n = 1,261) | p value |
|---|---|---|---|
| Eligibility | |||
| Eligible | 293 (94.8%) | 849 (67.3%) | <0.001** |
| Not eligible | 16 (5.2%) | 412 (32.7%) | |
| Test results among eligible# | |||
| Negative | 270 (92.2%) | 772 (90.9%) | 0.524 |
| Pathogenic/likely pathogenic variants | 23 (7.8%) | 77 (9.1%) | |
Genetic testing eligibility was assessed using NCCN, guidelines for 1,261 patients diagnosed in January 2024 or earlier, while the updated 2024 ASCO, guidelines were applied to 309 patients thereafter.
Pearson’s Chi-squared test.
1142 eligible patients.
We reviewed all patients, regardless of the eligibility criteria originally used, and reassessed their eligibility based on ASCO guidelines. Based on age criteria (i.e., patients aged ≤65 years), a total of 1,346 (85.7%) patients were eligible for testing. Among the other 224 (14.3%), medical records were reviewed for indications, other than age at diagnosis, for GGT. Another 134 (8.5%) were found to be eligible for testing because of personal or family history of breast and other cancers (n = 121, 7.7%), diagnosed with triple-negative disease (n = 9, 0.57%) and male gender (n = 4, 0.25%). In total, 1,480 (94.3%) patients were eligible for GGT as per the most recent ASCO guidelines, leaving only 90 (5.7%) who were not candidates for testing as per current guidelines, Table 3. When stratified by age, the P/LP variants was significantly higher among younger patients. Variants were identified in 13.9% of patients aged ≤39 years, compared with 8.0% in those aged 40–65 years and 4.0% in those older than 65 (p = 0.005) (Supplementary Table S4).
TABLE 3.
Indications for germline genetic testing (n = 1,570).
| Indication | Number (n) | Percentage (%) | Cumulative n (%) |
|---|---|---|---|
| Age ≤65 years | 1,346 | 85.7 | 1,346 (85.7) |
| Family history of cancer | 121 | 7.7 | 1,467 (93.4) |
| Triple-negative breast cancer | 9 | 0.57 | 1,476 (94.0) |
| Male breast cancer | 4 | 0.25 | 1,480 (94.3) |
| Not eligible for testing | 90 | 5.7 | 1,570 (100) |
4. Discussion
The presence of BRCA1 and BRCA2 mutations in breast cancer patients has significant implications in treatment decisions, primarily due to the distinct biological characteristics of these tumors and their response to specific therapies. BRCA1/2 mutations are associated with increased sensitivity to DNA-damaging agents, particularly poly (ADP-ribose) polymerase (PARP) inhibitors such as olaparib and talazoparib, which have shown efficacy in improving progression-free survival (PFS) in patients with BRCA-mutated HER2-negative breast cancer, both in early (20–23) and advanced disease settings (24–26). The use of PARP inhibitors is supported by clinical guidelines and has been incorporated into treatment regimens for BRCA-mutated breast cancer (27). Data was updated recently with overall survival (OS) benefits, too (28). Platinum-based chemotherapies are also effective in BRCA-mutated breast cancer due to their mechanism of inducing DNA cross-links, which are particularly lethal to cells with impaired DNA repair capabilities (29). These agents are often used in the neoadjuvant setting to improve pathologic complete response rates (pCR), especially in triple-negative breast cancer (TNBC) with BRCA mutations (29, 30). Additionally, the identification of BRCA mutations has implications for surgical decision-making and risk-reduction strategies. Patients with these mutations may opt for risk-reducing surgeries, such as bilateral mastectomy or salpingo-oophorectomy, to mitigate the risk of secondary cancers (31).
Several international professional societies, like the NCCN, have established guidelines recommending GGT for high-risk breast cancer patients. Current guidelines are somewhat complicated for most healthcare workers to follow; a fact that may contribute to the lower-than-expected referral rates for GGT in such patients. Such poor referrals are not restricted to low-income countries. Researchers from California used pooled cross-sectional data from the National Health Interview Survey, eligible patients were women with a history of breast or ovarian cancer meeting select 2017 NCCN eligibility criteria based on age at diagnosis and family history. Of the 47,218 women enrolled, 2.7% had a history of breast cancer. Over a third (35.6%) were eligible for GGT as per the NCCN criteria; of those, 29.0% reported a discussion about GGT with healthcare professionals, 20.2% were advised to undergo testing, and only 15.3% underwent genetic testing (32).
Various strategies have been explored to improve access and reduce delays in genetic testing. Universal genetic testing, in which germline genetic testing is offered to all patients diagnosed with breast cancer, regardless of their age at diagnosis or family history, represents an important step forward. However, challenges to adopt this approach including the cost, resource allocation, interpretation complexities, and ethical concerns, such as incidental findings (33). While NCCN recommends universal testing for epithelial ovarian, metastatic prostate, and exocrine pancreatic cancers, it is not recommended for breast cancer (34, 35).
The new ASCO–Society of Surgical Oncology Guideline recommended testing all newly diagnosed patients with breast cancer for BRCA1/2 mutation ≤65 years and select patients >65 years based on personal history, family history. This approach is not complex and can be implemented either through conventional genetic clinics or mainstream medical practices (8).
The median age of breast cancer diagnosis in Western countries, such as the United States (US) and Europe, is generally around 63 years. However, the median age at diagnosis in resource-restricted countries is at least a decade earlier (36–38). The variation in median age at diagnosis across different regions can be attributed to differences in population demographics, genetic factors, and lifestyle influences (39, 40). Jordan population is a younger one, with over 95% of the population are below the age of 65. Our study indicates that 85% of newly diagnosed breast cancer patients in countries like ours are eligible for testing just by age criteria (ASCO guidelines), Figure 1 (5). A proportion of older patients (>65 years) are eligible because of family or personally history of cancer, triple-negative disease or male gender, bringing the total to almost 95%.
One of the primary obstacles to the widespread adoption of universal testing in low- or middle-income countries (LMICs) is the high cost of genetic tests that can be prohibitively expensive for both patients and healthcare systems. Furthermore, the cost of follow-up care, including genetic counseling, cascade testing of close relatives and subsequent treatment, adds another layer of financial burden for patients in these countries.
Several studies have attempted to assess the cost-effectiveness of universal approach, mostly in Western healthcare systems. One study, conducted in the United Kingdom (UK) and the US, attempted to estimate the cost-effectiveness of multigene universal testing of all patients with breast cancer compared with the current practice of genetic testing based on family history or clinical criteria (guideline-based). All breast cancer patients in the universal testing group underwent BRCA1, BRCA2 and PALB2 testing. In the guideline-based group, only eligible patients underwent genetic testing. Cost analysis factored in contralateral preventive mastectomy in patients with BRCA/PALB2 P/LP variants, risk-reducing salpingo-oophorectomy (RRSO) in patients with BRCA1/2 mutation. Analysis also considered the cost of cascaded testing for relatives of affected patients along with associated risk-reducing strategies including surveillance with magnetic resonance imaging or mammography screening, chemoprevention, or risk-reducing mastectomy and RRSO. Authors concluded that universal multigene testing for all patients with breast cancer is extremely cost-effective compared with guideline-based testing for UK and US healthcare systems (41). Investigators reached similar conclusion when universal testing was studied on Canadian patients. However, a similar conclusion might not be reached when such a program is applied in resource-restricted countries (42).
The shortage of clinical geneticists and genetic counselors is another challenge which led to the adoption of mainstream cancer genetic testing which allows non-geneticist clinicians, such as oncologists and surgeons, to order genetic tests without needing a genetics counselor referral (43–46). However, inconsistencies in implementation and reduced testing rates arise due to complex and frequently updated guidelines and the necessity for specialized training in hereditary cancer risk assessment for non-geneticist clinicians.
Recent LMIC data show that unselected germline testing identifies a high frequency of actionable BRCA and other pathogenic variants, with more than half of carriers missed by traditional criteria (47). Large cohorts from Brazil and Mexico similarly demonstrate that many mutation carriers lack “high-risk” features, leading to substantial under-ascertainment when selective guidelines are applied (48). Economic analyses from upper-middle-income settings highlight additional affordability challenges, showing that while broader testing can be cost-effective in Upper MICs, implementation requires careful resource assessment and planning in LMIC (49).
Higher rate of variants of uncertain significance (VUS) is another challenge (50). Rates of VUS varies with population tested, significantly higher with expanding the indications for testing and the number of genes tested within a multigene panel (51). The management of patients with VUS primarily involves a cautious and informed approach, as these variants are not clinically actionable and should not alter medical management based on the VUS result alone. Patients should be informed that VUS may be reclassified over time, and periodic follow-up is necessary to reassess the variant’s classification (52).
5. Limitations
This study has several limitations. First, its retrospective, single-center design may introduce selection bias and limit the generalizability of the findings. Second, follow-up outcomes and cascade testing were not assessed, and with time, there is a possibility that some VUS may be reclassified, which could affect interpretation of results. Third, cost-effectiveness analysis was not performed because financial data were outside the scope of the IRB approval. These factors should be considered when interpreting the findings.
6. Conclusion
Applying universal germline genetic testing for newly diagnosed breast cancer, regardless of their age, disease characteristics, family or personal history of breast or other cancers (universal testing), is feasible with little increase in the pool of eligible patients by few percentage points; the burden of which can be justified given its impact on improving referral rate and minimize the dependence on genetic counselors.
Acknowledgements
The author would like to thank Mrs. Alice Haddadin and Ms. Doaa Al-Saadi for their help in preparing this manuscript.
Funding Statement
The authors declare that no financial support was received for the research and/or publication of this article.
Footnotes
Edited by: Akhil Kapoor, Tata Memorial Hospital, India
Reviewed by: Yonglan Zheng, The University of Chicago, United States
Nidhi Garg, Guy’s and St Thomas’ NHS Foundation Trust, United Kingdom
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving humans were approved by the King Hussein Cancer Center/IRB Number 20 KHCC 202. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
HA-R: Writing – original draft, Conceptualization, Writing – review and editing, Supervision, Methodology. FT: Conceptualization, Writing – review and editing, Methodology. SA-R: Formal Analysis, Writing – original draft, Methodology, Conceptualization, Writing – review and editing. BS: Methodology, Writing – review and editing. HK: Methodology, Writing – review and editing, Data curation. HBH: Data curation, Project administration, Supervision, Writing – review and editing, Writing – original draft, Methodology, Formal Analysis. HA-J: Writing – review and editing, Methodology. SK: Writing – review and editing, Data curation, Methodology. LES: Writing – original draft, Methodology, Writing – review and editing, Resources. TA-B: Methodology, Writing – review and editing, Data curation. MSh: Data curation, Writing – review and editing, Methodology. MSa: Methodology, Data curation, Writing – review and editing. AM: Conceptualization, Methodology, Writing – review and editing, Writing – original draft.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/or.2025.1638255/full#supplementary-material
References
- 1. Author Anonymous. Global cancer observatory: cancer today. Lyon, France: International Agency for Research on Cancer; (2022). Available online at: https://gco.iarc.who.int/today (Accessed February 22, 2025). [Google Scholar]
- 2. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer J Clinicians (2021) 71:209–49. 10.3322/caac.21660 [DOI] [PubMed] [Google Scholar]
- 3. Abdel-Razeq H, Mansour A, Jaddan D. Breast cancer care in Jordan. JCO Glob Oncol (2020) 6:260–8. 10.1200/JGO.19.00279 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Abdel-Razeq H, Al-Ibraheem A, Al-Rabi K, Shamiah O, Al-Husaini M, Mansour A. Cancer care in resource-limited countries: Jordan as an example. JCO Glob Oncol (2024) 10:e2400237. 10.1200/GO.24.00237 [DOI] [PubMed] [Google Scholar]
- 5. Abdel-Razeq H, Mansour A. Challenges and opportunities in breast cancer care in low-resourced countries, Jordan as an example. Cancers (Basel) (2024) 16:1751. 10.3390/cancers16091751 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Edaily S, Abdel-Razeq H. Management strategies of breast cancer patients with BRCA1 and BRCA2 pathogenic germline variants. OncoTargets Ther (2022) 15:815–26. 10.2147/OTT.S369844 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Li J, Wen WX, Eklund M, Kvist A, Eriksson M, Christensen HN, et al. Prevalence of BRCA1 and BRCA2 pathogenic variants in a large, unselected breast cancer cohort. Int J Cancer (2019) 144:1195–204. 10.1002/ijc.31841 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Bedrosian I, Somerfield MR, Achatz MI, Boughey JC, Curigliano G, Friedman S, et al. Germline testing in patients with breast cancer: ASCO-society of Surgical Oncology Guideline. J Clin Oncol (2024) 42:584–604. 10.1200/JCO.23.02225 [DOI] [PubMed] [Google Scholar]
- 9. Monticciolo DL, Newell MS, Moy L, Niell B, Monsees B, Sickles EA. Breast cancer screening in women at higher-than-average risk: recommendations from the ACR, 15. Journal of the American College of Radiology; (2018). p. 408–14. 10.1016/j.jacr.2017.11.034 [DOI] [PubMed] [Google Scholar]
- 10. Abdel-Razeq H, Tamimi F, Abujamous L, Edaily S, Abunasser M, Bater R, et al. Patterns and prevalence of BRCA1 and BRCA2 germline mutations among patients with triple-negative breast cancer: regional perspectives. CMAR (2021) 13:4597–604. 10.2147/CMAR.S316470 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Walsh T, Mandell JB, Norquist BM, Casadei S, Gulsuner S, Lee MK, et al. Genetic predisposition to breast cancer due to mutations other than BRCA1 and BRCA2 founder alleles among Ashkenazi Jewish women. JAMA Oncol (2017) 3(3):1647–53. 10.1001/jamaoncol.2017.1996 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Tennen RI, Laskey SB, Koelsch BL, McIntyre MH, Tung JY. Identifying Ashkenazi Jewish BRCA1/2 founder variants in individuals who Do not self-report Jewish ancestry. Sci Rep (2020) 10:7669. 10.1038/s41598-020-63466-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Schwartz CJ, Khorsandi N, Blanco A, Mukhtar RA, Chen Y-Y, Krings G. Clinicopathologic and genetic analysis of invasive breast Carcinomas in women with germline CHEK2 variants. Breast Cancer Res Treat (2024) 204:171–9. 10.1007/s10549-023-07176-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Graffeo R, Rana HQ, Conforti F, Bonanni B, Cardoso MJ, Paluch-Shimon S, et al. Moderate penetrance genes complicate genetic testing for breast cancer diagnosis: ATM, CHEK2, BARD1 and RAD51D . The Breast (2022) 65:32–40. 10.1016/j.breast.2022.06.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Breast, ovarian and pancreatic cancer. Genetic/familial high risk assessment (2025). Available online at: https://www.nccn.org/guidelines/guidelines-detail?category=1&id=1419 (Accessed February 22, 2025).
- 16. Kurian AW, Bedrosian I, Kohlmann WK, Somerfield MR, Robson ME. Germline testing in patients with breast cancer: ASCO-society of surgical Oncology Guideline Q and A. JCO Oncol Pract (2024) 20:466–71. 10.1200/OP.23.00771 [DOI] [PubMed] [Google Scholar]
- 17. Culver JO, Freiberg Y, Ricker C, Comeaux JG, Chang EY, Banerjee V, et al. Integration of universal germline genetic testing for all new breast cancer patients. Ann Surg Oncol (2023) 30:1017–25. 10.1245/s10434-022-12595-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. De Silva DL, Stafford L, Skandarajah AR, Sinclair M, Devereux L, Hogg K, et al. Universal genetic testing for women with newly diagnosed breast cancer in the context of multidisciplinary team care. Med J Aust (2023) 218:368–73. 10.5694/mja2.51906 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Raspa M, Moultrie R, Toth D, Haque SN. Barriers and facilitators to genetic service delivery models: scoping review. Interact J Med Res (2021) 10(1):e23523. 10.2196/23523 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Robson M, Im S-A, Senkus E, Xu B, Domchek SM, Masuda N, et al. Olaparib for metastatic breast cancer in patients with a germline BRCA mutation. N Engl J Med (2017) 377:523–33. 10.1056/NEJMoa1706450 [DOI] [PubMed] [Google Scholar]
- 21. Robson ME, Tung N, Conte P, Im S-A, Senkus E, Xu B, et al. OlympiAD final overall survival and tolerability results: olaparib versus chemotherapy treatment of physician’s choice in patients with a germline BRCA mutation and HER2-Negative metastatic breast cancer. Ann Oncol (2019) 30:558–66. 10.1093/annonc/mdz012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Robson ME, Im S-A, Senkus E, Xu B, Domchek SM, Masuda N, et al. OlympiAD extended Follow-up for overall survival and safety: olaparib versus chemotherapy treatment of physician’s choice in patients with a germline BRCA mutation and HER2-Negative metastatic breast cancer. Eur J Cancer (2023) 184:39–47. 10.1016/j.ejca.2023.01.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Litton JK, Rugo HS, Ettl J, Hurvitz SA, Gonçalves A, Lee K-H, et al. Talazoparib in patients with advanced breast cancer and a germline BRCA mutation. N Engl J Med (2018) 379:753–63. 10.1056/NEJMoa1802905 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Henry NL, Somerfield MR, Dayao Z, Elias A, Kalinsky K, McShane LM, et al. Biomarkers for systemic therapy in Metastatic Breast Cancer: ASCO Guideline update. J Clin Oncol (2022) 40:3205–21. 10.1200/JCO.22.01063 [DOI] [PubMed] [Google Scholar]
- 25. Tung NM, Garber JE. BRCA1/2 testing: therapeutic implications for breast cancer management. Br J Cancer (2018) 119:141–52. 10.1038/s41416-018-0127-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Tan JZC, Zhang Z, Goh HX, Ngeow J. BRCA and beyond: impact on therapeutic choices across cancer. Cancers (Basel) (2024) 17:8. 10.3390/cancers17010008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Tutt ANJ, Garber JE, Kaufman B, Viale G, Fumagalli D, Rastogi P, et al. Adjuvant olaparib for patients with BRCA1-or BRCA2-Mutated breast cancer. N Engl J Med (2021) 384:2394–405. 10.1056/NEJMoa2105215 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Geyer CE, Garber JE, Gelber RD, Yothers G, Taboada M, Ross L, et al. Overall survival in the OlympiA phase III trial of adjuvant olaparib in patients with germline pathogenic variants in BRCA1/2 and High-Risk, early breast cancer. Ann Oncol (2022) 33:1250–68. 10.1016/j.annonc.2022.09.159 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. t’Kint de Roodenbeke M-D, Pondé N, Buisseret L, Piccart M. Management of early breast cancer in patients bearing germline BRCA mutations. Semin Oncol (2020) 47:243–8. 10.1053/j.seminoncol.2020.07.006 [DOI] [PubMed] [Google Scholar]
- 30. Zattarin E, Taglialatela I, Lobefaro R, Leporati R, Fucà G, Ligorio F, et al. Breast cancers arising in subjects with germline BRCA1 or BRCA2 mutations: different biological and clinical entities with potentially diverse therapeutic opportunities. Crit Rev Oncology/Hematology (2023) 190:104109. 10.1016/j.critrevonc.2023.104109 [DOI] [PubMed] [Google Scholar]
- 31. Manahan ER, Kuerer HM, Sebastian M, Hughes KS, Boughey JC, Euhus DM, et al. Consensus guidelines on genetic` testing for hereditary breast cancer from the American Society of breast surgeons. Ann Surg Oncol (2019) 26:3025–31. 10.1245/s10434-019-07549-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Childers CP, Childers KK, Maggard-Gibbons M, Macinko J. National estimates of genetic testing in women with a history of breast or ovarian cancer. J Clin Oncol (2017) 35:3800–6. 10.1200/JCO.2017.73.6314 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Abdel-Razeq H, Sharaf B, Tamimi F, Hani HB, Alsmadi O, Khalil H, et al. Establishment of a Clinical Cancer Genetics Program for breast cancer in a resource-limited country; challenges and opportunities. Front Oncol (2024) 14:1431985. 10.3389/fonc.2024.1431985 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Shore N, Nielsen SM, Esplin ED, Antonarakis ES, Barata PC, Beer TM, et al. Implementation of universal germline genetic testing into standard of care for patients with prostate cancer: the time is now. JCO Oncol Pract (2025) 21:747–53. 10.1200/OP-24-00626 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Whitworth PW, Beitsch PD, Patel R, Rosen B, Compagnoni G, Baron PL, et al. Clinical utility of universal germline genetic testing for patients with breast cancer. JAMA Netw Open (2022) 5:e2232787. 10.1001/jamanetworkopen.2022.32787 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Song Q-K, Li J, Huang R, Fan J-H, Zheng R-S, Zhang B-N, et al. Age of diagnosis of breast cancer in China: almost 10 years earlier than in the United States and the European Union. Asian Pac J Cancer Prev (2014) 15:10021–5. 10.7314/apjcp.2014.15.22.10021 [DOI] [PubMed] [Google Scholar]
- 37. Rodríguez-Cuevas S, Macías CG, Franceschi D, Labastida S. Breast carcinoma presents a decade earlier in Mexican women than in women in the United States or European countries. Cancer (2001) 91:863–8. 10.1002/1097-0142(20010215)91:4<863::aid-cncr1074>3.0.co;2-y [DOI] [PubMed] [Google Scholar]
- 38. Johnson HM, Irish W, Muzaffar M, Vohra NA, Wong JH. Quantifying the relationship between Age at diagnosis and breast cancer-specific mortality. Breast Cancer Res Treat (2019) 177:713–22. 10.1007/s10549-019-05353-2 [DOI] [PubMed] [Google Scholar]
- 39. Zahed H, Feng X, Sheikh M, Bray F, Ferlay J, Ginsburg O, et al. Age at diagnosis for lung, Colon, breast and prostate cancers: an international comparative Study. Int J Cancer (2024) 154:28–40. 10.1002/ijc.34671 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Bidoli E, Virdone S, Hamdi-Cherif M, Toffolutti F, Taborelli M, Panato C, et al. Worldwide Age at onset of female breast cancer: a 25-Year population-based cancer registry Study. Sci Rep (2019) 9:14111. 10.1038/s41598-019-50680-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Sun L, Brentnall A, Patel S, Buist DSM, Bowles EJA, Evans DGR, et al. A cost-effectiveness analysis of multigene testing for all patients with breast cancer. JAMA Oncol (2019) 5:1718–30. 10.1001/jamaoncol.2019.3323 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Guo F, Adekanmbi V, Hsu CD, Berenson AB, Kuo Y-F, Shih Y-CT. Cost-Effectiveness of population-based multigene testing for breast and ovarian cancer prevention. JAMA Netw Open (2024) 7:e2356078. 10.1001/jamanetworkopen.2023.56078 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Monaghan A, Copson E, Cutress R. Hereditary genetic testing and mainstreaming: a guide for surgeons. Ann R Coll Surgeons Engl (2024) 106:300–4. 10.1308/rcsann.2024.0029 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Young AL, Ip E, Scheinberg T, Harrison M, Beale P, Goodwin A. An Australian mainstream genetic testing Program: clinicians views about Current and future practices. Asia-Pacific J Clin Oncol (2024) 20:119–27. 10.1111/ajco.14033 [DOI] [PubMed] [Google Scholar]
- 45. Berkman J, DeBortoli E, Steinberg J, Milch V, Yanes T, McInerney‐Leo A. Mainstreaming cancer genomic testing: a scoping review of the acceptability, efficacy, and impact. Clin Genet (2025) 107:123–35. 10.1111/cge.14660 [DOI] [PubMed] [Google Scholar]
- 46. Bokkers K, Vlaming M, Engelhardt EG, Zweemer RP, van Oort IM, Kiemeney LALM, et al. The feasibility of implementing mainstream germline genetic testing in routine cancer Care-A systematic review. Cancers (Basel) (2022) 14:1059. 10.3390/cancers14041059 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Van der Merwe NC, Combrink HM, Ntaita KS, Oosthuizen J, Oosthuizen J, Kotze MJ. Prevalence of clinically relevant germline BRCA variants in a large unselected South African breast and ovarian cancer cohort: a public sector experience. Front Genet (2022) 13:834265. 10.3389/fgene.2022.834265 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Seewald RA, Silva IAS, Pereira L, Martins LN, Costa E. Characterization of patients with breast cancer and national genetic testing strategy in Brazil. Rev Bras Cancerol (Online), E–044214 (2023). [Google Scholar]
- 49. Villarreal‐Garza C, Alvarez‐Gómez RM, Pérez‐Plasencia C, Herrera LA, Herzog J, Castillo D, et al. Significant clinical impact of recurrent BRCA1 and BRCA2 mutations in Mexico. Cancer (2015) 121(3):372–8. 10.1002/cncr.29058 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Goh SP, Lee C, Tan W, Jalaludin MY, Ng CH, Low LL, et al. Economic evaluation of germline genetic testing for breast cancer in upper-middle-income countries. BMC Cancer (2024) 24(1):316. 10.1186/s12885-024-12038-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Burke W, Parens E, Chung WK, Berger SM, Appelbaum PS. The challenge of genetic variants of uncertain clinical significance: a narrative review. Ann Intern Med (2022) 175:994–1000. 10.7326/M21-4109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Abdel-Razeq H, Tamimi F, Abujamous L, Abdel-Razeq R, Abunasser M, Edaily S, et al. Rates of variants of uncertain significance among patients with breast cancer undergoing genetic testing: regional perspectives. Front Oncol (2022) 12:673094. 10.3389/fonc.2022.673094 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Welsh JL, Hoskin TL, Day CN, Thomas AS, Cogswell JA, Couch FJ, et al. Clinical decision-making in patients with variant of uncertain significance in BRCA1 or BRCA2 genes. Ann Surg Oncol (2017) 24:3067–72. 10.1245/s10434-017-5959-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
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Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

