- Open Access
Li-Fraumeni syndrome: not a straightforward diagnosis anymore—the interpretation of pathogenic variants of low allele frequency and the differences between germline PVs, mosaicism, and clonal hematopoiesis
Breast Cancer Research volume 21, Article number: 107 (2019)
The introduction of next-generation sequencing has resulted in testing multiple genes simultaneously to identify inherited pathogenic variants (PVs) in cancer susceptibility genes. PVs with low minor allele frequencies (MAFs) (< 25–35%) are highlighted on germline genetic test reports. In this review, we focus on the challenges of interpreting PVs with low MAF in breast cancer patients undergoing germline testing and the implications for management.
The clinical implications of a germline PV are substantial. For PV carriers in high-penetrance genes like BRCA1, BRCA2, and TP53, prophylactic mastectomy is often recommended and radiation therapy avoided when possible for those with Li-Fraumeni syndrome (LFS). For germline PV carriers in more moderate-risk genes such as PALB2, ATM, and CHEK2, annual breast MRI is recommended and prophylactic mastectomies considered for those with significant family histories. Detection of PVs in cancer susceptibility genes can also lead to recommendations for other prophylactic surgeries (e.g., salpingo-oophorectomy) and increased surveillance for other cancers. Therefore, recognizing when a PV is somatic rather than germline and distinguishing somatic mosaicism from clonal hematopoiesis (CH) is essential. Mutational events that occur at a post-zygotic stage are somatic and will only be present in tissues derived from the mutated cell, characterizing classic mosaicism. Clonal hematopoiesis is a form of mosaicism restricted to the hematopoietic compartment.
Among the genes in multi-gene panels used for germline testing of breast cancer patients, the detection of a PV with low MAF occurs most often in TP53, though has been reported in other breast cancer susceptibility genes. Distinguishing a germline TP53 PV (LFS) from a somatic PV (TP53 mosaicism or CH) has enormous implications for breast cancer patients and their relatives.
We review how to evaluate a PV with low MAF. The identification of the PV in another tissue confirms mosaicism. Older age, exposure to chemotherapy, radiation, and tobacco are known risk factors for CH, as is the absence of a LFS-related cancer in the setting of a TP53 PV with low MAF. The ability to recognize and understand the implications of somatic PVs, including somatic mosaicism and CH, enables optimal personalized care of breast cancer patients.
Current estimates are that 5–10% of breast cancer results from an inherited gene pathogenic variant (PV) (Table 1). As such, taking a detailed family history is a key component of the initial visit with the oncology practitioner. The recognition of hereditary patterns or key features of inherited predisposition such as early age at onset or multiple primary tumors triggers the evaluation for familial cancer syndromes. The most common of these is the hereditary breast and ovarian cancer syndrome (HBOC), most often associated with pathogenic variants (PV) in BRCA1 or BRCA2 [1,2,3,4,5]. PVs in other high-risk cancer susceptibility genes like TP53 (Li-Fraumeni Syndrome; LFS), while not as common, have important clinical significance. The diagnosis of LFS impacts management because of the high risk of bilateral breast cancer and potential for in-field new primary tumors after radiation therapy, and results in recommendations for extensive cancer surveillance for breast and other cancers in the patient and at-risk relatives. Genetic testing is the final diagnostic step to confirm inherited risk and, if a PV is identified, can affect management of the patient and enable cascade genetic testing of relatives.
The introduction of next-generation sequencing (NGS) coupled with the continuous decrease in the cost of genetic testing has resulted in the common practice of testing multiple genes simultaneously to identify inherited PVs in cancer susceptibility genes. NGS is not only more efficient but also more sensitive in detecting genetic variants due to higher depth of coverage . The use of multi-gene panels by breast oncologists to detect germline PVs has become routine, and almost every cancer panel includes TP53 . In addition, commercially available direct-to-consumer genetic test products are now available, allowing individuals to sequence their own genome and bring the results to physicians for interpretation.
It is therefore increasingly important that oncology practitioners are comfortable interpreting genetic test results for inherited PVs. NGS technology has allowed quantifying minor allele frequencies (MAFs), which has become a key factor for the diagnostic laboratory in interpreting genetic test results. MAF refers to the fraction of alleles at the specific locus that carry the specific variant. PVs are assumed to be of germline origin when the allele frequency is approximately 50%, but a range between 30 and 70% is commonly accepted as representing a heterozygous PV . The implications of detecting a germline PV are extremely significant and often lead to the recommendation of prevention strategies that can include risk-reducing surgeries, as well as testing of relatives who may also carry the PV.
While the MAF is not routinely reported with commercial hereditary cancer panels, low variant allele frequencies (< 25–35% depending on the testing company) are often highlighted as a comment on a genetic test report. However, the etiology and clinical implications of PVs with low allele frequency are less clear. For breast cancer patients who undergo germline genetic testing, a low MAF is increasingly encountered. Weitzel et al. reported that MAFs < 25% were responsible for 20% of “positive” TP53 pathogenic variants . While the detection of a PV with a low MAF occurs with higher frequency in several hematologic malignancy-related genes , with the current multi-gene panels used for breast cancer patients, a low MAF is most often detected in TP53, but has also been described in other breast cancer susceptibility genes [10, 11].
The finding of a PV with a low MAF on a hereditary cancer panel can be due to somatic PVs, namely somatic mosaicism, clonal hematopoiesis (CH), technical interference in the assay, or tumor PVs detected in the blood from a circulating hematologic malignancy or from solid tumors. In fact, Coffee et al. reported that 38.8% of TP53 pathogenic variants detected using one commercially available hereditary cancer panel were, in fact, likely somatic and not germline variants .
In this review, we focus on the challenges of interpreting pathogenic variants with low MAF in patients with breast cancer who undergo germline genetic testing and the implications for management.
The role of germline testing
The use of multi-gene panels for germline testing has become routine in the management of breast cancer. Approximately 10% of women with newly diagnosed breast cancer have a PV in a high- or moderate-penetrance cancer susceptibility gene, the majority of which are in breast cancer susceptibility genes [12, 13].
The clinical implications of a germline PV are significant. For PV carriers in high-penetrance genes—BRCA1, BRCA2, CDH1, PTEN, and TP53—prophylactic contralateral mastectomy is often recommended. For PV carriers in more moderate-risk genes such as PALB2, ATM, and CHEK2, increased surveillance with annual breast MRI is recommended and prophylactic mastectomies are often considered in those with significant family histories. Detection of PVs in other cancer susceptibility genes can lead to recommendations of prophylactic surgeries, such as salpingo-oophorectomy, or increased surveillance for other cancers .
The selection of systemic therapy for breast cancer may also be impacted by the detection of a germline BRCA PV. For example, PARP inhibitors (olaparib and talazoparib) increase progression-free survival compared with chemotherapy for germline BRCA carriers with metastatic disease and are being investigated in the early setting [15, 16]. Breast cancer patients with LFS are usually treated with mastectomy to avoid potential radiation-induced malignancies and can be enrolled in clinical trials of aggressive screening, given the high lifetime risk of cancers in multiple organs. Importantly, identifying germline PVs in a breast cancer patient triggers cascade genetic testing of relatives. Identifying PVs in unaffected relatives affords the opportunity for early detection through increased surveillance and prevention.
Interestingly, recent studies have reported that despite current guidelines (e.g., NCCN), a large proportion of patients who harbor germline PVs are not being identified [17, 18]. As a result, some guidelines now recommend universal genetic testing for all breast cancer patients. As the threshold for germline testing decreases, a larger number of breast cancer patients will be tested, and an increasing number of PVs with a low MAF will be identified.
Classic (somatic) mosaicism (Fig. 1)
The zygote is the earliest developmental stage of a human cell, which is formed by the fertilization event between parental gametes, and its genome is thus a combination of the parental DNA. When a PV occurs in the parent’s gamete cells (gonadal mosaicism) or when the PV arises in the unicellular zygote, all daughter cells carry that PV. This defines a new (de novo) PV that exists in the individual but is not identified in either parent. These are heritable for the individual’s offspring (50% probability), and there is a small chance (usually counseled as ~ 5%) that a sibling also inherited the PV, depending on what fraction of the parental gonadal cells has the PV.
In contrast, if the mutational event happens at a post-zygotic stage, the PV will only be present in tissues derived from the mutated cell, characterizing classic mosaicism. Attention should be paid to the term mosaicism in the literature; while it is often used to refer to classic post-zygotic mosaicism, which develops from a PV very early in embryogenesis, it can also refer to somatic PVs acquired later, such as clonal hematopoiesis, i.e., somatic PVs that develop in hematopoietic cells only leading to clonal expansion in the blood, or even in the post allogeneic bone marrow transplant setting (also referred to as chimerism). In a classic post-zygotic mosaic, the frequency of mutant reads would be similar across different tissues. Both classic mosaicism and clonal hematopoiesis typically result in a PV with a low MAF.
The evaluation of suspected classic mosaicism varies widely across institutions. Genotyping of fibroblast (skin punch biopsy) or more recently hair follicle (eyebrow) samples are commonly used options . In a patient found to have a TP53 PV with a low MAF by germline testing, the presence of the PV in any of these tissues, would confirm the diagnosis of classic mosaicism.
The clinical implications of classic mosaicism are unclear since it is uncertain which (embryonic) tissue layers harbor the PV; such knowledge would ideally inform the appropriate surveillance strategy. Currently, there is no defined protocol to assess the distribution of tissues that harbor the PV. Therefore, it is unclear whether patients with TP53 classic mosaicism (i.e., patients with likely post-zygotic mosaic LFS) should be managed the same as patients with true LFS. Currently, the same surveillance strategies are often recommended though data to support this practice are lacking. For a breast cancer patient found to have classic TP53 mosaicism, the presumption is that the breast tissue carries the PV, although analysis of normal breast tissue would be required to confirm this. Somatic testing of the tumor would be expected to identify the PV with a high MAF since loss of heterozygosity (LOH) for the wild type TP53 allele would be anticipated in the development of the cancer, although data to support this assumption is scant. In addition, some PVs occur in domains that result in so-called dominant negative effects, and may not be accompanied by LOH since LOH is not required for the PV to have a deleterious effect.
A potential strategy to obtain a more comprehensive profiling of mutated tissues in a TP53 mosaic would be to employ tissue-specific analysis. Early in embryonic development, gastrulation results in the formation of the three germ layers: endoderm, mesoderm, and ectoderm. The epiblast gives origin to the ectoderm and endoderm. The mesoderm then develops from the interaction of the ectoderm and endoderm. Germline testing is usually performed using leukocytes (mesodermal origin) extracted from the buffy coat of peripheral blood after centrifugation. In the case of a low MAF PV, confirmatory testing to identify that PV in tissues other than hematopoietic cells can be performed using fibroblasts (mesodermal origin) from skin punch biopsy. Cells obtained from buccal swabs or eyebrow (all ectodermal origin) samples can also be used. Through special techniques to separate the different skin layers (e.g., use of suction blisters and salt splitting performed on fresh tissue sent to pathology), skin biopsy could assess both mesoderm and ectoderm since the epidermis is derived from the ectoderm, and both dermis and lower layers of the skin are derived from the mesoderm. Endodermal tissues could be sampled from the colon, bronchus, or urinary bladder. Ideally, obtaining tissues from all three germ layers would provide a more complete understanding of the distribution of PVs. However, mosaicism can also develop later in embryonic development and lead to PVs that are limited to tissue that cannot be sampled. If a TP53 PV were identified in an ectoderm-derived tissue such as the epidermis or hair and in a mesoderm-derived tissue such as blood, it would be reasonable to infer that it is also present in the endoderm.
Whereas a germline PV carrier has a 50% chance of passing the PV to an offspring, in a classic mosaic, there is no way to know whether the PV is present in the germ cells of that individual and in what ratio. Therefore, the risk for offspring to inherit the PV is unknown, but could be as high as 50%. Whether the PV is present in the germ cells of a classic mosaic would depend on when in embryogenesis the PV occurred—before or after the creation of the primordial germ cells.
Clonal hematopoiesis (CH)
During hematopoiesis, replicative division and regeneration by the hematopoietic stem/progenitor cell (HSPC) over decades leads to the accumulation of rare random PVs that trigger the activation of cell machinery responsible for proliferation and self-renewal. This confers a survival advantage over other HSPC, resulting in clonal expansion of mutated cells, without necessarily resulting in the development of overt hematologic malignancy.
Clonal expansion in the circulating hematopoietic cells has been studied and reported under multiple terms, including clonal hematopoiesis of indeterminate potential (CHIP), aberrant clonal expansion (ACE), and age-related clonal hematopoiesis (ARCH). CHIP is defined as the presence of the clonal expansion without clinically significant cytopenias or dysplastic hematopoiesis . The prevalence of clonal hematopoiesis varies according to the way pathogenic PVs are defined, which variant allele fractions are included and depth of assay coverage.
Large cohort studies have demonstrated that CH affects a significant portion of the healthy population and its prevalence increases with age [21,22,23,24]. Jaiswal et al. analyzed whole exome sequencing (WES) in 17,182 individuals derived from 22 population-based cohorts and sought somatic PVs in 160 genes that are recurrently mutated in hematologic malignancies. They found that CH is rare in persons younger than age 40 but that the frequency increased with age. The frequency of CH was 9.5%, 11.7%, and 18.4% in individuals aged 70–79, 80–89, and 90–108, respectively. The majority of PVs occurred in three genes, DNMT3A, TET2, and ASXL1. They also showed that these PVs are not transient by including a small number of patients with serial blood collections over 4 to 8 years. In this study, MAF as low as 3.5% was included and the sequencing depth was 84 reads. Likewise, Genovese et al. found similar results in 12,380 persons unselected for cancer or hematologic phenotype. They observed CH in 10% of persons older than 65 years of age but in only 1% younger than age 50 .
CH has been reported among breast cancer susceptibility genes, though has most frequently been reported in genes known to be associated with leukemia. This may be due to differences in genes included in panels used to test hematologic cancer and breast cancer patients. Steensma et al. noted that 80% of the PVs causing CH involve 19 genes . From these, only TP53 is commonly included in the panels used to test patients with breast cancer . While TP53 is the breast cancer risk gene most reported to develop CH, less commonly, clonal hematopoiesis can occur in other breast cancer susceptibility genes such as ATM, CHEK2 , PTEN, NF-1, and even BRCA1 and BRCA2 [11, 26]. Coffee et al. reported PVs with a MAF 10–30% in CHEK2 (n = 27) and ATM (n = 20) in more than 220,000 individuals undergoing germline genetic testing . Ptashkin et al. sequenced tumor and matched peripheral blood in 17,469 patients with solid tumors and reported a case in which a patient had a BRCA2 PV with a MAF of 34% from a peripheral blood sample with a lower MAF of 11% in the tumor. Analysis of the saliva, buccal swab, and colon confirmed that the variant was restricted to the hematologic compartment, likely indicating CH. These authors also found CH in a single case each involving BRCA1 and PTEN and in three cases involving NF-1 .
Ruark et al. demonstrated a potential connection between somatic mosaic PPM1D PVs and a predisposition for breast and ovarian cancer, identifying PPM1D PVs in 25 of 7781 cases of breast or ovarian cancer but in only one of 5861 controls, p = 1.12 × 10−5. The PVs were mosaic in lymphocyte DNA with the mutant allele consistently and considerably lower than the PPM1D wild type allele. Family studies were also consistent with mosaicism since none of the relatives analyzed carried the PV. In addition, the authors demonstrated that two separate PV carriers each had two offspring who had inherited different maternal PPM1D alleles, but that neither carried the maternal PV, and concluded that the PVs were either not present or mosaic in the gamete of the women with the PVs . Of note, the potential contribution of prior cancer treatment to the development of somatic PPM1D somatic PVs was not considered in this study.
In addition to age, chemotherapy has also been associated with CH. Swisher et al. evaluated the impact of chemotherapy on the development of CH using the BROCA panel (65 genes) in 686 women with ovarian carcinoma and showed that chemotherapy is associated with the development of somatic mosaic PVs in the PPM1D gene. PPM1D PVs were significantly associated with chemotherapy (p < 0.001) and with the number of prior regimens. The odds ratio for a PV was 4.82 (95% CI, 1.43–16.18) in chemotherapy-treated women and 17.24 (95% CI, 6.8–43.69) in those with recurrent platinum-resistant disease. Among women treated with chemotherapy, PPM1D PVs were significantly more frequent with age. Somatic PVs were not confirmed in any other gene on the BROCA panel except TP53. However, in this study, CH in TP53 was not associated with chemotherapy exposure or increased age. Of note, of the 11 cases with TP53 somatic PVs, five also had a PV in PPM1D. In 17 patients with either a TP53 or PPM1D somatic PV detected in blood, neither was detected in paired tumor specimens, confirming the diagnosis of CH. Serial testing of a few patients in the study demonstrated the emergence of somatic PVs in the PPM1D and TP53 genes after the use of chemotherapy .
Coombs et al. also found an association of CH with chemotherapy, as well as radiation therapy and tobacco use. They found CH in 25% of 8810 patients with solid tumors using the MSK-IMPACT panel with 410 cancer-associated genes and including a MAF greater than 1% using paired tumor and peripheral blood . PVs in the gene DNMT were most common, but PVs in PPM1D, ATM, and TP53 were among the six genes most commonly mutated. CH was significantly associated with chemotherapy for PPM1D (p < 0.001) and to a lesser degree for TP53 (p = 0.047), and with radiation therapy for both genes (p < 0.001). Of note, the median MAF for CH was 4.4%, lower than the reporting threshold for most commercial laboratories. CH was also significantly associated with age (p < 0.01) and prior tobacco use (p < 0.01) [21, 28, 29].
CH can indeed be a confounder of tumor genomic testing. Coombs et al. noted that 65% of tumors undergoing NGS had PVs in genes frequently altered in CH and CH accounted for 8% of PVs identified . Likewise, Ptashkin et al. found that 5.2% of patients with solid tumors would have had at least one CH-associated PV erroneously classified as tumor-derived in the absence of matched blood sequencing. In the case of TP53, 4% of PVs found through tumor testing were due to CH . Likewise, CH may confound interpretation of circulating free DNA (cfDNA) whether in patients with known cancer or in an attempt to screen for occult cancer . Phallen et al. analyzed 58 cancer-related genes and found genomic changes related to CH in 16% of 44 healthy individuals . Hu et al. identified PVs in JAK2, TP53, and even KRAS, which were due to CH and identified through analysis of cfDNA in patients with advanced cancer. Thus, clinicians ordering plasma genotyping must be aware of the possibility that PVs found may not represent a tumor genotype, especially in genes mutated in CH . Paired leukocyte genotyping may be necessary so that CH-derived PVs are not misdiagnosed as malignancy or as representing the genotype of a known cancer. Fortunately, even though circulating tumor DNA (ctDNA) can potentially confound results from germline testing, ctDNA levels tend to be well below laboratory reporting levels .
CH has been associated with increased risk of hematologic malignancies, cardiac disease, and even solid tumors as well as increased mortality. Jaiswal et al. found that the presence of CH was associated with an increased risk of hematologic malignancies (hazard ratio (HR), 11.1; 95% confidence interval [CI], 3.9 to 32.6), cardiovascular disease (HR, 2.0; 95% CI, 1.2 to 3.4), and all-cause mortality (HR, 1.4; 95% CI, 1.1 to 1.8) . Likewise, Genovese et al. found similar results for the risk of hematologic malignancies and all-cause mortality in 12,380 healthy individuals and suggested that the PVs play a direct role in future hematologic cancer development . In patients with solid tumors, Coombs et al. observed that cancer patients harboring CH not only were at higher risk of developing hematologic malignancies, but also had worse survival outcomes . Using data from 13 genome-wide association studies and more than 50,000 cases, Jacobs et al. found that mosaic chromosomal (> 2 Mb) abnormalities were more common in persons who later developed solid tumors [0.97% compared to 0.74% in cancer-free individuals; odds ratio (OR) = 1.25; p = 0.016] and had a stronger association with cases in which DNA was collected before diagnosis or treatment (OR = 1.45; p = 0.0005) .
Currently, there are no guidelines for managing patients with CH. It has been recommended that the CBC be evaluated and the presence of cytopenia warrants referral for specialized evaluation. In the setting of cytopenia, the analysis of combination of PVs and the MAF may indicate a high positive predictive value for development of an overt hematologic malignancy . Bolton et al. suggested that the use of specific criteria for reporting CH to patients, which included abnormal indices in CBC, MAF ≥ 10%, or the presence of more than one PV, would indicate the need for further evaluation .
The diagnosis of the Li-Fraumeni syndrome
TP53 PV with MAF suggestive of germline origin (> 30%)
Classically, Li-Fraumeni syndrome (LFS) has been diagnosed with the use of the Chompret criteria to identify patients who warrant genetic testing for the presence of a germline TP53 PV (Table 2). This has been revised in 2015 to include breast cancer diagnoses under age 31. Furthermore, most women with breast cancer and LFS have HER2-positive breast tumors . The implications of finding a TP53 PV include more aggressive cancer surveillance using breast MRI, as well as frequent colonoscopy initiated at an early age. Ongoing research trials are evaluating the benefit of whole-body MRI in patients with LFS given the increased risk of cancers in multiple organs and participation in clinical trials is strongly encouraged. For women with LFS who have breast cancer, mastectomy is favored over lumpectomy in an attempt to avoid ionizing radiation, which may increase the risk of secondary malignancies, including sarcoma [38,39,40,41,42].
With the widespread use of large gene panels that include the TP53 gene, patients without a family history of LFS and who do not meet the Chompret criteria are being identified with TP53 PVs, often with a MAF that is compatible with germline inheritance (i.e., ~ 50%). Multi-gene panel testing has identified these unexpected TP53 PV carriers, demonstrating a broader clinical phenotype of LFS . Approximately 14% of patients with TP53 PVs that appear to be germline by MAF are considered “de novo” since the PV is not identified in either parent . “De novo” PVs can be due to gonadal mosaicism, resulting from a TP53 PV that occurs in the gamete of one parent. The penetrance of the TP53 PV in patients with a genotype of LFS without the representative personal or family history of cancer is unknown. In the absence of data from longitudinal studies, individuals with “de novo” germline PVs are currently managed the same as other individuals with LFS and a concordant family history.
Complicating the interpretation of “de novo” TP53 PVs that appear to be germline, Coffee et al. have reported that somatic PVs with a MAF ~ 50% can also result from CH . This was evidenced by serial testing of a patient with a TP53 PV in whom the MAF increased from 30 to 45% over 3 months. Paired skin testing confirmed the absence of TP53 PV in other tissues . The frequency of CH with MAF > 30% is yet unknown.
TP53 PVs with low MAF (< 30%)
Just as challenging is the interpretation of a TP53 PV with a low allele frequency (< 30%) (Fig. 2). The main differential is between classic (somatic) mosaicism and CH. Confirmation of somatic mosaicism can be achieved by identifying the TP53 PV in a second tissue through fibroblast cultures, or from genotyping of cells obtained from buccal swabs, or eyebrow samples. Identification of the TP53 PV through any of these means confirms mosaicism, while the failure to identify the PV does not exclude mosaicism. The identification of classic mosaicism must be followed by genetic counseling to discuss surveillance strategies for the affected individual and testing of offspring. Additionally, identifying the PV in another family member would exclude CH; therefore, it is important to test other family members including offspring, regardless of failing to identify the PV in a different tissue type, as the possibility of mosaicism remains.
Prior to 2013, when commercial multi-gene panel testing was initiated for germline testing of cancer susceptibility genes, no patients at our academic center had ever been identified with a PV with a MAF < 30% in a cancer susceptibility gene. Since 2016, 10 patients with a low MAF have been identified: 9 in TP53, 1 in ATM, and 1 in NF1 (total of 11 PVs.) Evaluation of the four individuals with TP53 PVs using skin biopsy revealed that one had the PV identified in skin fibroblasts, confirming mosaicism, two had no PV, and one had a biopsy that failed fibroblast culture. Commercial genetic testing companies generally do not report a MAF < 10%.
In comparison with Sanger sequencing, NGS with multi-gene panels has increased the sensitivity of germline genetic testing, leading to an increased ability to identify patients with somatic mutations. For the oncology practitioner ordering and interpreting germline genetic test reports, the interpretation of a PV with low MAF must consider the possibility of a somatic PV, including classic mosaicism and CH, as well as a germline PV.
Paired analysis from another tissue using cultured fibroblasts, buccal cells, or eyebrow hair can distinguish CH from classic mosaicism. The presence of the PV in a different tissue confirms classic mosaicism. CH is more common in older patients, with chemotherapy or radiation therapy, with tobacco use, and in patients with cancer independent of previous treatment. The practitioner should be suspicious that a TP53 PV is due to CH if the cancer phenotype is significantly discordant (e.g., very late-onset cancer, especially if not a core LFS tumor). Among breast cancer susceptibility genes, CH has most frequently been reported in TP53, though has also occurred with ATM, CHEK2, PTEN, NF, and even BRCA1 and BRCA2.
The detection of CH confounding germline and tumor somatic testing will be increasingly important for optimal selection of patients for clinical trials and for approved targeted therapies. Paired genotyping of tumor and leukocytes may be important to identify CH; the presence of a higher MAF in the blood than in tumor would strongly suggest this diagnosis . Misinterpretation of genetic results may lead to inaccurate decision-making, such as the use of a therapy targeted to a PV that may not be present in the tumor.
The threshold for genetic testing is constantly decreasing and a greater proportion of breast cancer patients are undergoing germline testing. An accurate interpretation of genetic test results and the ability to recognize and understand the implications of somatic PVs including somatic mosaicism and CH is required for the appropriate personalized care of our patients.
Availability of data and materials
No datasets were generated or analyzed during the current study.
Pharoah PDP, Antoniou A, Bobrow M, Zimmern RL, Easton DF, Ponder BAJ. Polygenic susceptibility to breast cancer and implications for prevention. Nature genetics 2002 31:1. Nat Publ Group; 2002;31:33–36.
Claus EB, Risch N, Thompson WD. Genetic analysis of breast cancer in the cancer and steroid hormone study. Am J Hum Genet. 1991;48:232–42.
Newman B, Austin MA, Lee M, King MC. Inheritance of human breast cancer: evidence for autosomal dominant transmission in high-risk families. PNAS Natl Acad Sci. 1988;85:3044–8.
Ghoussaini M, Pharoah PD. Polygenic susceptibility to breast cancer: current state-of-the-art. Future Oncol. 2009;5:689–701.
Group ABCS. Prevalence and penetrance of BRCA1 and BRCA2 mutations in a population-based series of breast cancer cases. British Journal of Cancer. Nat Publ Group; 2000;83:1301–1308.
Beck TF, Mullikin JC, Program OBOTNCS, Biesecker LG. Systematic evaluation of Sanger validation of NextGen sequencing variants. Clin Chem. 2016;62(4):647–54.
Weitzel JN, Chao EC, Nehoray B, Van Tongeren LR, LaDuca H, Blazer KR, et al. Somatic TP53 variants frequently confound germ-line testing results. Genetics in medicine 2018 20:8. Nat Publ Group; 2018;20:809–816.
Judkins T, Leclair B, Bowles K, Gutin N, Trost J, McCulloch J, et al. Development and analytical validation of a 25-gene next generation sequencing panel that includes the BRCA1 and BRCA2 genes to assess hereditary cancer risk. BMC Cancer. 2015;15:215.
Steensma DP, Bejar R, Jaiswal S, Lindsley RC, Sekeres MA, Hasserjian RP, et al. Clonal hematopoiesis of indeterminate potential and its distinction from myelodysplastic syndromes. Blood. 2015;126:16.
Coffee B, Cox HC, Kidd J, Sizemore S, Brown K, Manley S, et al. Detection of somatic variants in peripheral blood lymphocytes using a next generation sequencing multigene pan cancer panel. Cancer Genet. 2017;211:5–8.
Ptashkin RN, Mandelker DL, Coombs CC, Bolton K, Yelskaya Z, Hyman DM, et al. Prevalence of clonal hematopoiesis mutations in tumor-only clinical genomic profiling of solid tumors. JAMA Oncol. 2018;4:1589–93.
Tung N, Lin NU, Kidd J, Allen BA, Singh N, Wenstrup RJ, et al. Frequency of germline mutations in 25 cancer susceptibility genes in a sequential series of patients with breast cancer. J Clin Oncol. 2016;34:1460–8.
Theobald KA, Susswein LR, Marshall ML, Roberts ME, Mester JL, Speyer D, et al. Utility of expedited hereditary cancer testing in the surgical management of patients with a new breast cancer diagnosis. Ann Surg Oncol. 2018;25:3556–62.
National Comprehensive Cancer Network. Genetic/familial high-risk assessment: breast and ovarian (version 3.2019). https://www.nccn.org/professionals/physician_gls/pdf/genetics_screening.pdf. Accessed 5 Sept 2019.
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.
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.
Beitsch PD, Whitworth PW, Hughes K, Patel R, Rosen B, Compagnoni G, et al. Underdiagnosis of hereditary breast cancer: are genetic testing guidelines a tool or an obstacle? J Clin Oncol. 2019;37(6):453–60.
Yang S, Axilbund JE, O’Leary E, Michalski ST, Evans R, Lincoln SE, et al. Underdiagnosis of hereditary breast and ovarian cancer in Medicare patients: genetic testing criteria miss the mark. Ann Surg Oncol. 2018;25:2925–31.
Campbell IM, Shaw CA, Stankiewicz P, Lupski JR. Somatic mosaicism: implications for disease and transmission genetics. Trends Genet. 2015;31:382–92.
Campbell IM, Shaw CA, Stankiewicz P, Lupski JR. Erratum to: somatic mosaicism: implications for disease and transmission genetics. Trends Genet. 2016;32:138.
Jacobs KB, Yeager M, Zhou W, Wacholder S, Wang Z, Rodriguez-Santiago B, et al. Detectable clonal mosaicism and its relationship to aging and cancer. Nature genetics 2002 31:1. Nat Publ Group; 2012;44:651–658.
Jaiswal S, Fontanillas P, Flannick J, Manning A, Grauman PV, Mar BG, et al. Age-related clonal hematopoiesis associated with adverse outcomes. N Engl J Med. 2014;371:2488–98.
Xie M, Lu C, Wang J, McLellan MD, Johnson KJ, Wendl MC, et al. Age-related mutations associated with clonal hematopoietic expansion and malignancies. Nat Med. 2014;20:1472–8.
Genovese G, Kähler AK, Handsaker RE, Lindberg J, Rose SA, Bakhoum SF, et al. Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence. N Engl J Med. 2014;371:2477–87.
Kandoth C, McLellan MD, Vandin F, Ye K, Niu B, Lu C, et al. Mutational landscape and significance across 12 major cancer types. Nature. 2013;502:333–9.
Sperling AS, Gibson CJ, Ebert BL. The genetics of myelodysplastic syndrome: from clonal haematopoiesis to secondary leukaemia. Nat Rev Cancer. 2017;17:5–19.
Ruark E, Snape K, Humburg P, Loveday C, Bajrami I, Brough R, et al. Mosaic PPM1D mutations are associated with predisposition to breast and ovarian cancer. Nature. 2013;493:406–10.
Swisher EM, Harrell MI, Norquist BM, Walsh T, Brady M, Lee M, et al. Somatic mosaic mutations in PPM1D and TP53 in the blood of women with ovarian carcinoma. JAMA Oncol. 2016;2:370–2.
Coombs CC, Zehir A, Devlin SM, Kishtagari A, Syed A, Jonsson P, et al. Therapy-related clonal hematopoiesis in patients with non-hematologic cancers is common and associated with adverse clinical outcomes. Cell Stem Cell; 2017;21:374–4.
Coombs CC, Gillis NK, Tan X, Berg JS, Ball MC, Balasis ME, et al. Identification of clonal hematopoiesis mutations in solid tumor patients undergoing unpaired next-generation sequencing assays. Clin Cancer Res. 2018;24(23):5918–24.
Corcoran RB, Chabner BA. Application of cell-free DNA analysis to cancer treatment. N Engl J Med. 2018;379:1754–65.
Phallen J, Sausen M, Adleff V, Leal A, Hruban C, White J, et al. Direct detection of early-stage cancers using circulating tumor DNA. Sci Transl Med. 2017;9:eaan2415.
Hu Y, Ulrich B, Supplee J, Kuang Y, Lizotte PH, Feeney N, et al. False positive plasma genotyping due to clonal hematopoiesis. Clin Cancer Res. 2018;24(18):4437–43.
Malcovati L, Gallì A, Travaglino E, Ambaglio I, Rizzo E, Molteni E, et al. Clinical significance of somatic mutation in unexplained blood cytopenia. Blood Am Soc Hematol. 2017;129:3371–8.
Bolton KL, Gillis NK, Coombs CC, Takahashi K, Zehir A, Bejar R, et al. Managing clonal hematopoiesis in patients with solid tumors. J Clin Oncol. 2019;37:7–11.
Bougeard G, Renaux-Petel M, Flaman J-M, Charbonnier C, Fermey P, Belotti M, et al. Revisiting Li-Fraumeni syndrome from TP53 mutation carriers. J Clin Oncol. 2015;33:2345–52.
Bertrandt AM, Bojadzieva J, Ready KJ, Obeid E, Liu DD, Barrera AMG, et al. Early onset HER2-positive breast cancer is associated with germline TP53 mutations. Cancer. 2012;118:908–13.
Ferrarini A, Auteri-Kaczmarek A, Pica A, Boesch N, Heinimann K, Schäfer SC, et al. Early occurrence of lung adenocarcinoma and breast cancer after radiotherapy of a chest wall sarcoma in a patient with a de novo germline mutation in TP53. Familial Cancer. 2011;10:187–92.
Henry E, Villalobos V, Million L, Jensen KC, West R, Ganjoo K, et al. Chest wall leiomyosarcoma after breast-conservative therapy for early-stage breast cancer in a young woman with Li-Fraumeni syndrome. J Natl Compr Cancer Netw. 2012;10:939–42.
Heymann S, Delaloge S, Rahal A, Caron O, Frébourg T, Barreau L, et al. Radio-induced malignancies after breast cancer postoperative radiotherapy in patients with Li-Fraumeni syndrome. Radiat Oncol. 2010;5:104.
Limacher JM, Frebourg T, Natarajan-Ame S, Bergerat JP. Two metachronous tumors in the radiotherapy fields of a patient with Li-Fraumeni syndrome. Int J Cancer. 2001;96:238–42.
Salmon A, Amikam D, Sodha N, Davidson S, Basel-Vanagaite L, Eeles RA, et al. Rapid development of post-radiotherapy sarcoma and breast cancer in a patient with a novel germline “de-novo” TP53 mutation. Clin Oncol. 2007;19:490–3.
Rana HQ, Gelman R, LaDuca H, McFarland R, Dalton E, Thompson J, et al. Differences in TP53 mutation carrier phenotypes emerge from panel-based testing. J Natl Cancer Inst. 2018;110:863–70.
Renaux-Petel M, Charbonnier F, Théry J-C, Fermey P, Lienard G, Bou J, et al. Contribution of de novo and mosaic TP53 mutations to Li-Fraumeni syndrome. J Med Genet. 2018;55:173–80.
We would like to thank Bradford Coffee for the helpful discussions in the preparation of this manuscript.
No special funding was used for this work.
Ethics approval and consent to participate
There was no involvement of human participants/subjects, human data, or human tissue.
Consent for publication
The manuscript does not contain any individual person’s data in any form.
NT reported research funding from AstraZeneca. JG reported consulting for Helix Genetics, Konica-Minolta, and Novartis (spouse) and research support from Invitae, Ambry, and AstraZeneca. FB, EP, LS, AR, and JW declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Batalini, F., Peacock, E.G., Stobie, L. et al. Li-Fraumeni syndrome: not a straightforward diagnosis anymore—the interpretation of pathogenic variants of low allele frequency and the differences between germline PVs, mosaicism, and clonal hematopoiesis. Breast Cancer Res 21, 107 (2019) doi:10.1186/s13058-019-1193-1
- Pathogenic variant
- Li-Fraumeni syndrome
- Hereditary breast cancer
- Clonal hematopoiesis
- Low allele frequency