Abstract
Despite the high prevalence of TP53 pathogenic variants (PV) carriers in the South and Southeast regions of Brazil, germline genetic testing for hereditary breast cancer (HBC) is not available in the Brazilian public health system, and the prevalence of Li-Fraumeni syndrome (LFS) is not well established in other regions of Brazil. We assessed the occurrence of TP53 p.R337H carriers among women treated for breast cancer (BC) between January 2021 and January 2022 at public hospitals of Brasilia, DF, Brazil. A total of 180 patients who met at least one of the NCCN criteria for HBC underwent germline testing; 44.4% performed out-of-pocket germline multigene panel testing, and 55.6% were tested for the p.R337H variant by allelic discrimination PCR. The median age at BC diagnosis was 43.5 years, 93% had invasive ductal carcinoma, 50% had estrogen receptor-positive/HER2 negative tumors, and 41% and 11% were diagnosed respectively at stage III and IV. Two patients (1.11%) harbored the p.R337H variant, and cascade family testing identified 20 additional carriers. The TP53 p.R337H detection rate was lower than that reported in other studies from south/southeast Brazil. Nonetheless, identifying TP53 PV carriers through genetic testing in the Brazilian public health system could guide cancer treatment and prevention.
Keywords: breast cancer, hereditary cancer, Li–Fraumeni syndrome, TP53 p.R337H
1. Introduction
Li-Fraumeni syndrome (LFS) is a cancer predisposition syndrome caused by germline pathogenic variants (PVs) in the tumor suppressor gene TP53. Approximately 90% of the carriers develop tumors by the time they reach 60 years of age [1]. Adrenocortical carcinoma, sarcoma, brain cancer, and breast cancer are among the most common cancers in the phenotypic LFS tumor spectrum [2,3]. Breast cancer (BC) is the most prevalent tumor type in women with LFS [4].
LFS is rare worldwide, affecting 1 in 5000–20,000 individuals [2,5], but its impact in Brazil is relevant because of a founder effect, which is responsible for the high prevalence of TP53 c.1010G>A (p.Arg337His or p.R337H) carriers [6]. Studies of cohorts from the Southern region found a prevalence of 1 in 300 live births harboring the TP53 p.R337H variant [7,8].
The prevalence of the TP53 p.R337H variant in BC cohorts in Brazil has been previously estimated to range from 0 to 12%, depending on the geographic region [8,9,10,11,12,13]. Differences in the geographical distribution of this variant have increased interest in the determination of the frequency of p.R337H in the population of the Federal District of Brazil, a central area of the country, where families from different regions converge.
A recent study of patients with BC evaluated in a private hospital in the Federal District of Brazil showed that 2.7% were p.R337H carriers (6/224); however, while approximately 80% of Brazilian have access to health care only in the public service, the study cohort mostly comprised patients with health insurance [14]. Considering the lack of germline testing for patients using the public health system in the Federal District, the frequency of p. R337H in an underserved population remains of interest.
This exploratory study aimed to describe the frequency of TP53 p.R337H as well as the clinical and pathological characteristics of patients diagnosed with BC treated in the Brazilian Public Health System (SUS) in the Federal District of Brazil who were stratified as high risk for hereditary breast cancer (HBC).
2. Materials and Methods
2.1. Study Design
This observational cross-sectional study was conducted at a public institution in the Federal District. We recruited patients with a history of invasive BC of any stage and any clinical subtype, who were undergoing treatment or in follow-up and presented at least one of the National Comprehensive Cancer Network (NCCN) criteria for HBC, considering version 1.2020 [15] (Supplementary Materials, Table S1). These patients were offered to participate in the study and consented to undergo testing for the TP53 p.R337H variant specified in the study protocol. Patients who chose to perform a multigene panel testing at commercial laboratories at their own expense were also included in the study. Additionally, all these patients underwent genetic counseling. First-degree family members with positive TP53 p.R337H index cases were offered genetic counseling and family variant testing. Patients with missing clinicopathological BC data or those who did not undergo germline testing were excluded.
Blood samples were collected for those patients who were going to test only the TP53 p.R337H variant.
The primary outcome was to describe the detection rate of the TP53 p.R337H in these patients. We also aimed to describe the percentage of patients who met the revised Chompret criteria [2,16] (Supplementary Materials, Table S2) and identify family members carrying the TP53 p.R337H variant based on the index case.
This study was approved by the Research Ethics Committee of Sírio-Libanês Hospital and the Brazilian Research Ethics Committee (CAAE: 31299320.2.0000.5461). All the participants provided informed consent.
2.2. Genotyping for TP53 p.R337H
DNA was extracted from peripheral blood samples using a Wizard® Genomic DNA Purification Kit (Promega, Madison, WI, USA). Genotyping for TP53 p.R337H was performed using a Custom TaqMan® SNP Genotyping Assay, performing allelic discrimination (Applied Biosystems, Thermo Fisher Scientific, Pleasanton, CA, USA).This assay is specific to detecting the TP53 p.R337H variant, and the presence of other variants in TP53 or in other genes could not be evaluated for those patients who performed only this genetic test.
Allelic discrimination analysis was performed in a 7300 (Applied Biosystems) real-time PCR equipment using a Custom TaqMan™ SNP Genotyping Assay (Thermo Fisher). Fwd Primer: CCTCCTCTGTTGCTGCAGATC, Rev Primer: CCTCATTCAGCTCTCGGAAC, Probe 1-GGTGAGCGCTTCGAG (WT_VIC/MGB-NFQ), Probe 2-CGTGAGCACTTCGAG (Mut_R337H_ FAM/MGB-NFQ). Reactions were prepared for a total volume of 12 uL, using 1× TaqMan genotyping master mix, 1× TaqMan Primers + Probes mix and 50 ng of DNA. After the Pre-read step, amplification was performed by 60 °C for 1 min, 95 °C for 10 min and 50 cycles of 95 °C for 15 s/60 °C for 90 s, followed by 60 °C for 1 min. Post-read analysis was defined using control samples.
2.3. Sociodemographic and Clinical Variables
During the genetic counseling consultation, sociodemographic data were collected: self-declared race and birthplace. Clinical and pathological data were retrospectively reviewed using the electronic medical records of all study participants.
2.4. Statistical Analysis
Values are expressed as medians and percentiles for non-normally distributed continuous variables and as means and standard deviations for normally distributed continuous variables. Categorical data are presented as absolute values and percentages and were tested using Fisher’s exact test, where applicable. Analyses were performed using JASP version 0.14.1.0 software.
2.5. Sample Calculation
An estimated 730 new cases of BC are estimated for 2020 in the Federal District (INCA). Of these cases, 70% will be treated in the public service; therefore, the estimated N is 511 patients to be screened per year diagnosed with breast cancer in public hospitals in the DF. With the majority being followed up at IHB-DF, we expect at least 300 patients (60%) with breast cancer per year at this hospital. For the primary objective, the detection rate of PV p.R337H, for a population of 300 women with breast cancer treated in public hospitals in the Federal District from January 2021 to January 2022, considering an average prevalence of 4.8% for PV R337H of TP53 obtained from previous studies [10], for a sampling error of 2% and a confidence interval of 95%, it was estimated that 178 patients would be needed to compose the sample.
3. Results
3.1. Clinical and Pathological Characteristics of the Population
A total of 245 women with BC were screened for this study. Of these, 180 patients met the study criteria. The median age at BC diagnosis was 43.5 years (range: 18–78 years). Among the participants, 75 (42%) were brown. The median interval between BC diagnosis and genetic counseling was one year, ranging from 0.1 to 12 years. The demographic, clinical, and pathological characteristics of the patients are summarized in Table 1.
Table 1.
Clinical and pathological characteristics of the cohort.
| Characteristics | N = 180 | |
|---|---|---|
| Age | 43.5 years | (18–78) |
| Median follow-up | 1 year | (0.1–12) |
| Self-defined ethnicity | Brown | 76 (42%) |
| White | 68 (38%) | |
| Black | 36 (20%) | |
| Asian/Indigenous | 0 | |
| Histology | Invasive ductal carcinoma | 166 (93%) |
| Invasive lobular carcinoma | 11 (6%) | |
| Other * | 3 (1%) | |
| Immunohistochemistry | Estrogen receptor-positive, HER2-negative | 90 (50%) |
| HER2-positive | 45 (25%) | |
| Triple-negative | 45 (25%) | |
| Ki67 | ≥14% | 155 (86%) |
| <14% | 25 (14%) | |
| Staging | I | 16 (9%) |
| II | 70 (39%) | |
| III | 74 (41%) | |
| IV | 20 (11%) |
* Other: mucinous carcinoma, papillary carcinoma.
Regarding invasive BC features, most were invasive ductal carcinomas (93%), whereas the remainder were invasive lobular carcinomas (6%) and other types (1%). Most tumors (50%, n = 90) were estrogen receptor-positive (ER+)/HER2-negative, 45 (25%) were HER2-positive, and 45 (25%) were triple-negative. A total of 21 women (9.5%) had bilateral breast tumors, including both synchronous and metachronous cases. In terms of initial breast cancer staging, 94 patients (52%) were at stage III or IV at the time of BC diagnosis. At the time of genetic counseling, 31 patients (17%) had metastatic disease.
Most patients were native to the Midwest (47%) or Northeastern (35%) regions of Brazil. Furthermore, 5% of patients hailed from the North, 1% from the South, and 11% from the Southeast (Figure 1).
Figure 1.
Map of Brazil showing the central position of Brasilia (Federal District) and the region of birth of the study participants.
3.2. Revised Chompret Criteria for Li-Fraumeni Syndrome
Forty patients (40/180; 22%) met the revised Chompret criteria for LFS. Among these 40 patients, 40% (n = 16) met the criteria for BC diagnosis before 31 years of age, and 60% (n = 24) met the criteria for BC diagnosis at or before 45 years of age, along with a positive family history of sarcoma, brain cancer, or adrenocortical carcinoma. Among those patients who were found to harbor the p.R337H variant, 5% (2/40) met the revised Chompret criteria for LFS.
3.3. TP53 p.R337H Detection Rate
Among the 180 included patients, 100 underwent allelic discrimination testing and 80 underwent germline multigene panel testing. We identified two patients (1.1%) with the p.R337H variant, one through variant testing and the other through a multigene panel. Both patients met the NCCN HBC criteria, as they were diagnosed with BC at or before 45 years of age.
One patient (Figure 2, R337H.01) met the revised Chompret criteria for LFS because of a BC diagnosis at 28 years of age; that is, she met the criteria of juvenile breast cancer (<31 years). She was submitted to two molecular tests (a multigene out-of-pocket test and the specific one for p.R337H offered by the study). This patient was born in the Federal District, with a family from the Midwest region, presented with stage IIIA invasive ductal carcinoma, histological grade 2, ER+/HER2-negative, and Ki67 > 14%. The patient underwent neoadjuvant chemotherapy, followed by bilateral mastectomy and adjuvant hormone therapy. Familial cascade testing revealed variant segregation through the maternal side of the family.
Figure 2.
Pedigree of R337H.01.
Another patient (Figure 3, R337H.02) was diagnosed with BC at 43 years of age and had a family history of cancer. This history included a nephew diagnosed with brain cancer at four years of age, as well as seven close relatives diagnosed with BC: four sisters, one niece, one paternal cousin, and one paternal aunt.
Figure 3.
Pedigree of R337H.02.
The patient was born in the Federal District, but her family was from the Southeast region. She was diagnosed with de novo stage IV, ER+/HER2-negative invasive ductal carcinoma (grade 2).
Genetic counseling and family variant testing were extended to 31 relatives, revealing that 19 individuals were carriers of the p.R337H variant.
3.4. Patients Who Underwent Germline Genetic Panel Testing
Among 80 patients who underwent out-of-pocket multigene panel testing, 17 (21.2%) carried pathogenic variants (PV) in cancer susceptibility genes, including 12 (15%) patients with BRCA1/BRCA2 PV, two (2.5%) with TP53 PV, one with p.R337H and one with non-R337H TP53 PV (p.W146X), along with 3 (3.7%) in genes not associated with HBC (Table S3 in the Supplementary Materials).
Regarding the timing of genetic testing, 37 (46%) patients underwent genetic testing before the surgical planning, whereas 43 (54%) underwent testing only during follow-up or at the time of disease recurrence.
4. Discussion
Our results suggest a lower prevalence of TP53 p.R337H among women with BC in the Brazilian Midwest public health system compared to other Brazilian studies. Nonetheless, a significant number of family members harboring this variant were identified through cascade genetic testing, reinforcing the potential impact of genetic testing as a preventive approach.
We found 1.1% TP53 p.R337H carriers among the studied population, characterized by public health users, with a median age at BC diagnosis of 43.5 years. The population was enriched with individuals from the Midwest and Northeast regions of the country. This finding is in concordance with studies from the Northeast that reported lower frequencies of TP53 p.R337H carriers, ranging from 0% to 0.6% [12,13]. In contrast, Giacomazzi et al. found 12% TP53 p.R337H carriers among Southern women diagnosed with BC at or before 45 years of age [9].
Although haplotype studies and Brazilian colonization history have indicated a common Portuguese ancestor as an explanation for the higher concentration of TP53 p.R337H carriers in the Southeastern region of the country [17,18], the largest Brazilian BC genotyping study, which included 1663 BC patients unselected by age at BC onset or family history of cancer, mostly from the South/Southeast of Brazil (70%), had a detection rate of p.R337H carriers of 1.6% [19]. These data suggest that regional colonization differences and population selection criteria affect the TP53 p.R337H detection rate, as one can see in Table 2.
It is also important to point out other clinical characteristics of the cohort. Similar to the AMAZONA study [20], in which 80.8% of the patients received treatment through the public health system, we observed that a substantial proportion of the patients were diagnosed with locally advanced or metastatic breast cancer (52% in stages III or IV). Several Brazilian studies have indicated an association between the socioeconomic status of women and their ability to undergo recommended preventive exams, such as Pap smears and mammography [21,22]. Therefore, a lack of resources in a given population is associated with delayed cancer diagnosis at more advanced stages.
Table 2.
Studies on the prevalence of the p.R337H variant in context.
| Reference | N | Inclusion Criteria | Brazil’s Region | TP53 R337H, n (%) |
|---|---|---|---|---|
| [8] | 750 | Healthy women | South | 2 (0.3) |
| [9] | 815 | BC, not selected | South and Southeast | 70 (8.6) |
| [23] | 120 | BC, with high-risk HBC (NCCN) | Southeast | 3 (2.5) |
| [24] | 95 | High-risk HBC (NCCN) | Southeast | 5 (5.3) |
| [25] | 805 | BC, not selected | South | 19 (2.36) |
| [26] | 224 | BC, with high-risk HBC (NCCN) | Midwest | 6 (2.7) |
| [19] | 1663 | BC, with high-risk HBC (NCCN) | South and Southeast (70%) | 26 (1.6) |
| [12] | 173 | BC, with high-risk HBC (NCCN) | Northeast | 1 (0.6) |
| [13] | 355 | BC, with high-risk HBC (NCCN) | Northeast | 0 |
| This study | 180 | BC, with high-risk HBC (NCCN) | Midwest | 2 (1.1) |
The primary clinical utility of germline genetic testing for hereditary cancer lies in identifying individuals at a higher risk of developing cancer, thereby providing an opportunity for effective cancer screening and implementing risk reduction strategies. However, owing to the limited resources and constraints of the Brazilian public health system, patients often face restrictions accessing most screening examinations and may be required to cover the costs themselves. The Toronto protocol, a follow-up protocol for LFS carriers, has been shown to improve early cancer detection and survival rates [5,27]. According to Frankenthal et al., the Toronto protocol is cost-effective for LFS carriers in Brazil [28]. Annual whole-body MRI, a component of the protocol, detects neoplasms in 9% of asymptomatic patients. Unfortunately, a lack of specific public information renders the complete protocol unavailable to users of the Brazilian public health system.
This study had some limitations. First, only patients alive at the time of enrollment were included in this study, which may represent a survivorship bias. Second, the cohort consisted mostly of patients from two public hospitals in the Federal District, which serve 80% of the population who need oncologic care and do not have health insurance in the region; this fact can represent a socioeconomic bias. Other economic barriers may have influenced patient recruitment, since there was no financial support for enrollment or transportation expenses. In addition, one hundred patients were only tested for the specific TP53 p.R337H; among these, we may have missed carriers of other TP53 non-p.R337H carriers and carriers of PV in other breast cancer susceptibility genes.
5. Conclusions
The detection rate of the TP53 p.R337H variant was lower than that reported in other Brazilian studies in Southeastern Brazil. Despite this, our findings draw attention to the LFS carriers overlooked by the Brazilian public healthcare system. The implementation of hereditary cancer screening through genetic testing and preventive interventions is urgently required for this underserved population.
Acknowledgments
We acknowledge the Genetic Unity from Hospital de Apoio—DF support through the enormous help from Oliveira C.P., who did all the DNA extractions from this study.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/genes15070928/s1, Table S1: NCCN version 1.2020, Table S2: Chompret criteria for TP53 screening, Table S3: List of pathogenic variants detected through the NGS panel.
Author Contributions
T.S.C., R.B.-S. and R.L.S. conceived and designed the study and wrote the manuscript; T.S.C., E.S.C.d.O., A.C.R.L. and L.W. interviewed the patients, and M.I.A. allowed the use of their laboratory resources for the study; C.P.d.O. performed DNA extraction; P.F.A. performed allelic discrimination by TaqMan PCR analysis. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki. This study was approved by the Research Ethics Committee of Sírio-Libanês Hospital and the Brazilian Research Ethics Committee (CAAE: 31299320.2.0000.5461), and by the Research Ethics Committee of the Instituto de Gestão Estratégica de Saúde do DF (CAAE: 31299320.2.3001.8153).
Informed Consent Statement
All the participants provided informed consent.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Materials, further inquiries can be directed to the corresponding author.
Conflicts of Interest
T.S.C. reported receiving speaker bureau fees from AstraZeneca, Daichi-Sankyo, Eli Lilly, Pfizer, Novartis, Libbs, and Roche. She is the principal investigator of trials from Roche, Eli Lilly and Pfizer. She has received support for attending medical conferences from AstraZeneca, Pfizer, Daichi-Sankyo. R.L.S., E.S.C.d.O., A.C.R.L., L.W., M.I.A., C.P.d.O. and P.F.A. reported no conflicts of interest. R.B.-S. reported receiving speaker bureau fees from Agilant, AstraZeneca, Daichi-Sankyo, Eli Lilly, Pfizer, Novartis, Merck, and Roche. He has also served as a consultant/advisor for AstraZeneca, Eli Lilly, Libbs, Roche, and Merck and has received support for attending medical conferences from AstraZeneca, Roche, Eli Lilly, Daichi-Sankyo, and Merck.
Funding Statement
The TaqMan® real-time PCR allelic discrimination assay kit was financed through Maria Isabel Achatz, who made them available with funding from a grant from Stand Up to Cancer (SU2C), 2018. The Instituto de Ensino e Pesquisa do Hospital Sirio-Libanes (IEP-HSL) financed the publication costs.
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
References
- 1.Schneider K., Zelley K., Nichols K.E., Garber J. Li-Fraumeni Syndrome. In: Adam M.P., Feldman J., Mirzaa G.M., Pagon R.A., Wallace S.E., Bean L.J.H., Gripp K.W., Amemiya A., editors. GeneReviews®. University of Washington; Seattle, WA, USA: 1999. pp. 1993–2024. [Google Scholar]
- 2.Kumamoto T., Yamazaki F., Nakano Y., Tamura C., Tashiro S., Hattori H., Nakagawara A., Tsunematsu Y. Medical Guidelines for Li-Fraumeni Syndrome 2019, version 1.1. Int. J. Clin. Oncol. 2021;26:2161–2178. doi: 10.1007/s10147-021-02011-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Li F.P., Fraumeni J.F. Soft-Tissue Sarcomas, Breast Cancer, and Other Neoplasms. A Familial Syndrome? Ann. Intern. Med. 1969;71:747–752. doi: 10.7326/0003-4819-71-4-747. [DOI] [PubMed] [Google Scholar]
- 4.de Andrade K.C., Khincha P.P., Hatton J.N., Frone M.N., Wegman-Ostrosky T., Mai P.L., Best A.F., Savage S.A. Cancer incidence, patterns, and genotype-phenotype associations in individuals with pathogenic or likely pathogenic germline TP53 variants: An observational cohort study. Lancet Oncol. 2021;22:1787–1798. doi: 10.1016/S1470-2045(21)00580-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Kratz C.P., Freycon C., Maxwell K.N., Nichols K.E., Schiffman J.D., Evans D.G., Achatz M.I., Savage S.A., Weitzel J.N., Garber J.E., et al. Analysis of the Li-Fraumeni Spectrum Based on an International Germline TP53 Variant Data Set: An International Agency for Research on Cancer TP53 Database Analysis. JAMA Oncol. 2021;7:1800–1805. doi: 10.1001/jamaoncol.2021.4398. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Achatz M.I.W., Olivier M., Le Calvez F., Martel-Planche G., Lopes A., Rossi B.M., Ashton-Prolla P., Giugliani R., Palmero E.I., Vargas F.R., et al. The TP53 Mutation, R337H, Is Associated With Li-Fraumeni and Li-Fraumeni-Like Syndromes in Brazilian Families. Cancer Lett. 2007;245:96–102. doi: 10.1016/j.canlet.2005.12.039. [DOI] [PubMed] [Google Scholar]
- 7.Custódio G., Parise G.A., Kiesel Filho N., Komechen H., Sabbaga C.C., Rosati R., Grisa L., Parise I.Z., Pianovski M.A., Fiori C.M., et al. Impact of Neonatal Screening and Surveillance for the TP53 R337H Mutation on Early Detection of Childhood Adrenocortical Tumors. J. Clin. Oncol. 2013;31:2619–2626. doi: 10.1200/JCO.2012.46.3711. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Palmero E.I., Schüler-Faccini L., Caleffi M., Achatz M.I., Olivier M., Martel-Planche G., Marcel V., Aguiar E., Giacomazzi J., Ewald I.P., et al. Detection of R337H, a Germline TP53 Mutation Predisposing to Multiple Cancers, in Asymptomatic Women Participating in a Breast Cancer Screening Program in Southern Brazil. Cancer Lett. 2008;261:21–25. doi: 10.1016/j.canlet.2007.10.044. [DOI] [PubMed] [Google Scholar]
- 9.Giacomazzi J., Graudenz M.S., Osorio C.A., Koehler-Santos P., Palmero E.I., Zagonel-Oliveira M., Michelli R.A., Scapulatempo Neto C., Fernandes G.C., Achatz M.I., et al. Prevalence of the TP53 p.R337H Mutation in Breast Cancer Patients in Brazil. PLoS ONE. 2014;9:e99893. doi: 10.1371/journal.pone.0099893. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Costa E.S.V., Melazzo I.F., Nogueira N.A., Abreu D.C., Ayres F.M., Saddi V.A. Prevalence and Clinical Implications of the TP53 p. R337H Mutation in Brazilian Breast Cancer Patients: A Systematic Literature Review. Mastology. 2020;30:1–8. doi: 10.29289/25945394202020190013. [DOI] [Google Scholar]
- 11.De Souza Timoteo A.R., Gonçalves A.É.M.M., Sales L.A.P., Albuquerque B.M., de Souza J.E.S., de Moura P.C.P., de Aquino M.A.A., Agnez-Lima L.F., Lajus T.B.P. A Portrait of Germline Mutation in Brazilian At-Risk for Hereditary Breast Cancer. Breast Cancer Res. Treat. 2018;172:637–646. doi: 10.1007/s10549-018-4938-0. [DOI] [PubMed] [Google Scholar]
- 12.Felix G.E.S., Guindalini R.S.C., Zheng Y., Walsh T., Sveen E., Lopes T.M.M., Côrtes J., Zhang J., Carôzo P., Santos I., et al. Mutational Spectrum of Breast Cancer Susceptibility Genes Among Women Ascertained in a Cancer Risk Clinic in Northeast Brazil. Breast Cancer Res. Treat. 2022;193:485–494. doi: 10.1007/s10549-022-06560-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Gifoni A.C.L.V.C., Gifoni M.A.C., Wotroba C.M., Palmero E.I., Costa E.L.V., Dos Santos W., Achatz M.I. Hereditary Breast Cancer in the Brazilian State of Ceará (the CHANCE Cohort): Higher-Than-Expected Prevalence of Recurrent Germline Pathogenic Variants. Front. Oncol. 2022;12:932957. doi: 10.3389/fonc.2022.932957. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Sandoval R.L., Leite A.C.R., Barbalho D.M., Assad D.X., Barroso R., Polidorio N., Dos Anjos C.H., de Miranda A.D., Ferreira A.C.S.M., Fernandes G.D.S., et al. Germline Molecular Data in Hereditary Breast Cancer in Brazil: Lessons from a Large Single-Center Analysis. PLoS ONE. 2021;16:e0247363. doi: 10.1371/journal.pone.0247363. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Daly M.B., Pilarski R., Yurgelun M.B., Berry M.P., Buys S.S., Dickson P., Domchek S.M., Elkhanany A., Friedman S., Garber J.E., et al. NCCN Guidelines Insights: Genetic/Familial High-Risk Assessment: Breast, Ovarian, and Pancreatic, Version 1.2020. J. Natl. Compr. Canc. Netw. 2020;18:380–391. doi: 10.6004/jnccn.2020.0017. [DOI] [PubMed] [Google Scholar]
- 16.Bougeard G., Renaux-Petel M., Flaman J.M., Charbonnier C., Fermey P., Belotti M., Gauthier-Villars M., Stoppa-Lyonnet D., Consolino E., Brugières L., et al. Revisiting Li-Fraumeni Syndrome from TP53 Mutation Carriers. J. Clin. Oncol. 2015;33:2345–2352. doi: 10.1200/JCO.2014.59.5728. [DOI] [PubMed] [Google Scholar]
- 17.Garritano S., Gemignani F., Palmero E.I., Olivier M., Martel-Planche G., Le Calvez-Kelm F., Brugiéres L., Vargas F.R., Brentani R.R., Ashton-Prolla P., et al. Detailed Haplotype Analysis at the TP53 Locus in p.R337H Mutation Carriers in the Population of Southern Brazil: Evidence for a Founder Effect. Hum. Mutat. 2010;31:143–150. doi: 10.1002/humu.21151. [DOI] [PubMed] [Google Scholar]
- 18.Pinto E.M., Zambetti G.P. What 20 Years of Research Has Taught Us about the TP53 p.R337H Mutation. Cancer. 2020;126:4678–4686. doi: 10.1002/cncr.33143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Guindalini R.S.C., Viana D.V., Kitajima J.P.F.W., Rocha V.M., López R.V.M., Zheng Y., Freitas É., Monteiro F.P.M., Valim A., Schlesinger D., et al. Detection of Germline Variants in Brazilian Breast Cancer Patients Using Multigene Panel Testing. Sci. Rep. 2022;12:4190. doi: 10.1038/s41598-022-07383-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Simon S.D., Bines J., Werutsky G., Nunes J.S., Pacheco F.C., Segalla J.G., Gomes A.J.S., Adam Van Eyll B.M.H.R., Gimenes D.L., Crocamo S., et al. Characteristics and Prognosis of Stage I–III Breast Cancer Subtypes in Brazil: The Amazona Retrospective Cohort Study. Breast. 2019;44:113–119. doi: 10.1016/j.breast.2019.01.008. [DOI] [PubMed] [Google Scholar]
- 21.Novaes H.M.D., Braga P.E., Schout D. Fatores Associados à Realização de Exames Preventivos Para Câncer Nas Mulheres Brasileiras, PNAD 2003. Cien. Saúde Coletiva. 2006;11:1023–1035. doi: 10.1590/S1413-81232006000400023. [DOI] [Google Scholar]
- 22.INCA Dados E Números Sobre Câncer de Mama. Relatório Anual. 2022, 2022. [(accessed on 23 May 2024)]; Available online: https://www.inca.gov.br/sites/ufu.sti.inca.local/files/media/document/dados_e_numeros_site_cancer_mama_setembro2022.
- 23.Silva F.C., Lisboa B.C., Figueiredo M.C., Torrezan G.T., Santos E.M., Krepischi A.C., Rossi B.M., Achatz M.I., Carraro D.M. Hereditary Breast and Ovarian Cancer: Assessment of Point Mutations and Copy Number Variations in Brazilian Patients. BMC Med. Genet. 2014;15:55. doi: 10.1186/1471-2350-15-55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Da Costa e Silva Carvalho S., Cury N.M., Brotto D.B., de Araujo L.F., Rosa R.C.A., Texeira L.A., Plaça J.R., Marques A.A., Peronni K.C., Ruy P.C., et al. Germline Variants in DNA Repair Genes Associated with Hereditary Breast and Ovarian Cancer Syndrome: Analysis of a 21 Gene Panel in the Brazilian Population. BMC Med. Genom. 2020;13:21. doi: 10.1186/s12920-019-0652-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Mathias C., Bortoletto S., Centa A., Komechen H., Lima R.S., Fonseca A.S., Sebastião A.P., Urban C.A., Soares E.W.S., Prando C., et al. Frequency of the TP53 R337H Variant in Sporadic Breast Cancer and Its Impact on Genomic Instability. Sci. Rep. 2020;10:16614. doi: 10.1038/s41598-020-73282-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Sandoval R.L., Masotti C., de Macedo M.P., Ribeiro M.F.S.A., Leite A.C.R., Meireles S.I., Bovolin R.M., Santini F.C., Munhoz R.R., Jardim D.L.F., et al. Identification of the TP53 p. R337H Variant in Tumor Genomic Profiling Should Prompt Consideration of Germline Testing for Li-Fraumeni Syndrome. JCO Glob. Oncol. 2021;7:1141–1150. doi: 10.1200/GO.21.00097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Villani A., Shore A., Wasserman J.D., Stephens D., Kim R.H., Druker H., Gallinger B., Naumer A., Kohlmann W., Novokmet A., et al. Biochemical and Imaging Surveillance in Germline TP53 Mutation Carriers with Li-Fraumeni Syndrome: 11 Year Follow-Up of a Prospective Observational Study. Lancet Oncol. 2016;17:1295–1305. doi: 10.1016/S1470-2045(16)30249-2. [DOI] [PubMed] [Google Scholar]
- 28.Frankenthal I.A., Alves M.C., Tak C., Achatz M.I. Cancer Surveillance for Patients with Li-Fraumeni Syndrome in Brazil: A Cost-Effectiveness Analysis. Lancet Reg. Health. 2022;12:100265. doi: 10.1016/j.lana.2022.100265. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Materials, further inquiries can be directed to the corresponding author.