Genetic Testing and Management of Patients with Hereditary Breast Cancer
Genetic Testing and Management of Patients with Hereditary Breast Cancer
Susan M. Domchek
Beth N. Peshkin
Marc D. Schwartz
Claudine Isaacs
Genetic counseling and testing are increasingly an integral component of the management of women with newly diagnosed breast cancer, particularly if they have a family history of breast and/or ovarian cancer. Because breast cancer is such a common disease in North America and northern Europe, it is not uncommon to encounter families in which two or three women have had this disease. Such clusters may be typical of familial breast cancer, particularly when the ages of onset are postmenopausal. In the majority of such familial clusters there is no clear single genetic etiology. Hereditary breast cancer, which is much less common, is usually characterized by two or more generations affected with breast and related cancers (e.g., ovarian cancer), often with a predisposition to early ages of onset. As discussed in this chapter, specific features of an individual’s personal and family history can provide substantial clues about potential etiology. When family histories are suggestive of hereditary risk, women and their family members may benefit from genetic counseling and testing. Women at high risk can reduce their risk of cancer-related morbidity and mortality through increased surveillance and adoption of risk-reducing strategies. Noncarriers of known familial riskconferring mutations may be relieved of persistent worry and avoid unnecessary interventions. Pre- and posttest genetic counseling ensure that individuals have appropriate information about the risks, benefits, and limitations of genetic testing, as well as how to use results for clinical management.
Although genetic counseling and testing for breast cancer, particularly with regard to BRCA1 and BRCA2 mutations, have diffused into mainstream oncologic care, questions regarding individualized cancer risks, the long term impact of management options, and how best to use this information to treat breast cancer patients remain. While risk reduction and early detection strategies have been extensively studied in individuals with BRCA1 and BRCA2 mutations, much less is known regarding management of individuals with mutations in rare high penetrance cancer susceptibility alleles (e.g., PTEN, TP53, STK11, CDH1). An additional layer of complexity stems from the discovery of a host of moderate penetrance genes (e.g., CHEK2, BRIP, BARD) for which there are particular concerns regarding clinical utility. These limitations in our knowledge create challenges for providers who must counsel patients about clinical management and for the patients who face the decisions to undergo genetic testing. This chapter provides an overview of the medical and psychosocial issues that are relevant to this process. The focus of this chapter is on patients at high risk who have family histories consistent with inherited susceptibility to breast cancer.
CLINICAL CHARACTERISTICS OF HEREDITARY BREAST CANCER
Approximately 5% to 10% of breast cancers arise as a result of an inherited susceptibility owing to alterations in a single highly penetrant gene. Most cases of hereditary breast cancer, and particularly hereditary breast and ovarian cancer, are attributable to mutations in BRCA1 and BRCA2 (BRCA1/2) (1). Other hereditary breast cancer syndromes, caused by mutations in highly penetrant genes (noted in parentheses), account for less than 1% of all cases of breast cancer each and include Li-Fraumeni syndrome (TP53) (2), Cowden syndrome or PTEN hamartoma syndrome (PTEN) (3), Peutz-Jeghers syndrome (STK11) (4), and hereditary diffuse gastric cancer syndrome (CDH1/E-cadherin) (5) (see Table 17-1 for details on these as well as associated cancer risks). Recently it has been demonstrated that women with Lynch Syndrome (Hereditary Non-Polyposis Colorectal Cancer Syndrome, HNPCC) also have an elevated risk of breast cancer (6). However, in contrast to the very elevated risk of colon cancer associated with mutations in MLH1, MSH2, and MSH6, the risk of breast cancer is only modestly elevated. Thus, mutations in these genes are highly penetrant for colon cancer, but only moderately penetrant for breast cancer (6). Multiple other moderate penetrance genes for breast cancer are also known, for example CHEK2, ATM, BRIP, BARD, and PALB2 (7). These genes are associated with increased risk of breast cancer of 2-5 fold. Mutations in some of these genes have been clearly associated with other cancer risks, such as the association of PALB2 mutations and pancreatic cancer risk (8). For most of the others, associated cancer risks are uncertain.
For most women with or at increased risk for breast cancer, genetic testing for BRCA1/2 mutations is the most clinically useful and informative strategy. The reasons for this are that i) mutations in these genes are the most common of the highly penetrant genes, ii) the associated, significantly increased risk of ovarian cancer has major implications for clinical management, and iii) data exist to guide clinical management for mutation carriers and their family members. Mutation testing for the other high penetrance susceptibility genes is generally reserved for families in which there is suspicion for these distinct clinical syndromes (see Table 17-1). However, the landscape of genetic testing for cancer susceptibility is rapidly changing. Next generation sequencing (also known as massively parallel sequencing) allows for rapid genetic testing of multiple genes. Several multiplex panels incorporating moderate and high penetrance genes are now commercially available with more expected in the near future (see Table 17-2). In addition, panels of low penetrance single nucleotide polymorphisms (SNPs) are also commercially available. In addition to all of this, the costs of whole exome and whole genome sequencing have rapidly decreased. These rapid technical advances in germline sequencing currently exceed our ability to apply results to clinical practice and will be discussed further later.
TABLE 17-1 High Penetrance Breast Cancer Susceptibility Genes
Gene
Syndrome
Risk of breast cancer
Risk of epithelial ovarian cancer
Other cancer risks
Associated finding
BRCA1
HBOC
50-70%
20-45%
Incompletely defined
BRCA2
HBOC
50-70%
10-20%
Prostate, pancreatic, male breast cancer
TP53
LFS
50-90%
Multiple: sarcoma, brain tumor, leukemia, adrenocortical tumors, colon cancer
Childhood malignancies
PTEN
Cowden
50-85%
Endometrial, thyroid, renal, colon, melanoma
Macrocephaly, skin findings, benign thyroid and uterine findings, developmental delay
STK11
PJS
55%
Colorectal, small bowel, pancreatic cancer; ovarian sex cord tumors
Lip freckling
CDH1
HDGC
40%
Gastric cancer
Lobular breast cancers
HBOC, hereditary breast and ovarian cancer; LFS, Li-Fraumeni Syndrome; PJS, Peutz-Jeghers Syndrome; HDGC, hereditary diffuse gastric cancer.
In this chapter, we will focus on cancer risks and management strategies associated with mutations in BRCA1/2, but we will also discuss issues related to genetic counseling and management issues related to other genes.
BRCA1 and BRCA2 Cancer Risks
Breast and Ovarian Cancer Risks
The literature addressing cancer risks in BRCA1 and BRCA2 mutation carriers reveals a wide range of potential risks for breast and ovarian cancer which are considerably elevated over the U.S. general population risks of 7% and less than 1%, respectively, to age 70. When reviewing these studies, it is important to consider various sources of ascertainment (e.g., through linkage testing versus direct genotyping, clinicbased versus unselected or population-based series, and selection through affected or unaffected cases or probands) and the relative advantages and limitations of specific study designs. Most of these studies are retrospective in nature, therefore yielding less robust estimates of cancer risk than prospective cohorts. In consideration of these factors, it is appropriate to inform patients about a range of reported risks in mutation carriers that is based on analysis of several studies. For example, the largest meta-analysis of studies published by Antoniou et al (9). combined data from 22 international studies comprising more than 8,000 index cases affected with female (86%) or male (2%) breast cancer or epithelial ovarian cancer (12%). To be included, index cases were sampled independently of family history. The average cumulative breast cancer risk to age 70 years in BRCA1 carriers was 65% (95% CI, 51%-75%), versus 45% (95% CI, 33%-54%) in BRCA2 carriers. Interestingly, when families were ascertained through an index case diagnosed with breast cancer at an early age, especially before age 35 years, cumulative cancer risks were about 20% higher for BRCA1 carriers (i.e., 87% risk of breast cancer [95% CI, 67%-95%] and 51% risk of ovarian cancer [95% CI, 9.1%-73%] versus 61% risk of breast cancer [41%-74%] and 32% for ovarian cancer [11%-49%] for families containing an older proband with breast cancer). When the index case was older, the BRCA1- associated breast cancer risks were similar to those identified through ovarian cancer probands. Similarly, in BRCA2 families, the breast cancer risks were higher in families with breast cancer index cases versus ovarian cancer probands. Although breast cancer incidence was not impacted by the age of the index patient, BRCA2-associated ovarian cancer risks were higher when the proband had breast cancer before age 35. Another notable finding from these analyses was that the breast cancer incidence in BRCA1 carriers increased with age, but starting at 50 years the incidence remained somewhat constant. In BRCA2 carriers, however, the incidence of breast cancer continued to rise. These data also confirmed that ovarian cancer rates in women younger than 30 years are very low, but after that, risk rises more dramatically, especially for BRCA1 carriers. Specifically, Antoniou et al. reported the lifetime risk of ovarian cancer in BRCA1 carriers to be 39% (95% CI, 22%-51%) and 11% (95% CI, 4.1%-18%) in BRCA2 carriers but for both BRCA1 and BRCA2 mutation carriers the risk of ovarian cancer prior to age 40 was less than 3% (9).
TABLE 17-2 Genes Analyzed in Commercially Available Multiplex Panels for Breast Cancer*
Chen et al. (10) performed a meta-analysis of ten international mixed-ascertainment studies that included data from families at high risk as well as population-based series. The cumulative risks to age 70 for breast cancer were 57% (95% CI, 47%-66%) for BRCA1 and 49% (95% CI, 40%-57%) for BRCA2 and ovarian cancer risks of 40% (95% CI, 35%-46%) for BRCA1 and 18% (95% CI, 13%-23%) for BRCA2 mutation carriers. These data are roughly consistent with the findings of Antoniou et al. (9) and provide reasonable parameters for clinical use. In addition, Chen and Parmigiani derived agespecific predicted mean breast and ovarian cancer risks for currently unaffected BRCA1/2 mutation carriers based on their current age (20-60 years) (10). These data, published in tabular form, may be useful in clinical counseling. For example, based on the table, it is estimated that a 30-yearold, unaffected BRCA1 carrier has a cumulative risk of breast cancer to age 40 of 10%; to age 50 it is 28%; to age 60 is 44%; and to age 70 it is 54%. In addition, her cumulative risk of ovarian cancer to age 40 is 2.2%; 8.7% to age 50; 22% to age 60; and 39% to age 70. Age-specific risks may be one important component to guide decisions about the timing of risk management procedures, such as prophylactic surgery.
Finally, investigators associated with the EMBRACE (Epidemiological study of BRCA1 and BRCA2 mutation carriers) consortium recently published one of the largest prospective studies of cancer risk in 978 BRCA1 and 909 BRCA2 mutation carriers from the United Kingdom (11). Using Kaplan-Meier estimates, they reported that the average cumulative breast cancer risk to age 70 in BRCA1 and BRCA2 carriers was 60% (95% CI, 44%-75%) and 55% (95% CI, 41% -70%), respectively. The average ovarian cancer risk to age 70 in BRCA1 and BRCA2 carriers was 59% (95% CI, 43%-76%) and 16.5% (95% CI, 7.5%-34%), respectively.
Considering these three studies together, the average cumulative risk of breast cancer in BRCA1 and BRCA2 carriers to age 70 is between 57% and 65% and 45% and 59%, respectively. The average cumulative risk of ovarian cancer to age 70 in BRCA1 and BRCA2 carriers is between 39% and 55% and 11% and 18%, respectively. In several instances, these average ranges encompass confidence intervals from different studies. It is also important to bear in mind that the life expectancy for most mutation carriers without cancer is greater than age 70, so these risks need to be extrapolated to older ages.
Importantly, primary fallopian tube cancer and primary peritoneal cancer are part of the tumor spectrum associated with BRCA1 and BRCA2 mutations (12) and are often included under the category of “ovarian cancer.” A related question that arises, particularly for surgical treatment, is whether carriers face an elevated risk of uterine cancer. Overall, it does not appear that BRCA1/2 mutation carriers have an excess risk of this malignancy unless they have used tamoxifen either as treatment or primary prevention (13).
These data underscore the complexity in providing an individualized risk assessment for BRCA1/2 carriers. It is important, however, to counsel individuals about features of the pedigree that may hamper risk assessment, such as small family size, few women in the family, limited or unverifiable cancer history data, and so forth. Recent studies also suggest that more recent birth cohorts have an increased risk of breast cancer (14) In addition, variation in risk is likely to be attributable in part to genetic and nongenetic risk factors, as addressed later in this chapter. Validated comprehensive risk models to provide more individualized risk assessment are needed.
Second Malignancies after Breast Cancer
A hallmark of hereditary cancer is the predisposition toward multiple primary cancers. For example, BRCA1/2 carriers who are affected with breast cancer have a 40% to 65% cumulative risk of contralateral breast cancer (12, 15, 16). These risks appear to differ depending on the age at first breast cancer diagnosis and mutation type (i.e. BRCA1 vs. BRCA2) (15). For example, the 10 year risk of contralateral breast cancer is estimated to be 31% for BRCA1 carriers whose first breast cancer was diagnosed at age less than 40, as compared with 8% for those who were initially diagnosed at age greater than 50 (15). The overall risk of contralateral disease in women diagnosed with breast cancer prior to age 40 at 25 years is estimated to be approximately 63% in BRCA1 and BRCA2 carriers (15). The risk of contralateral breast cancer may be reduced substantially with the use of tamoxifen, oophorectomy, or both (oophorectomy in premenopausal women) (17). This is discussed in greater detail in the section on management of mutation carriers with breast cancer. Of note, women with sporadic breast cancer have a 0.5% to 1.0% annual risk of contralateral breast cancer, leveling off at 20% at 20 years of follow-up. Although specific risks are difficult to quantify, it does appear that, over the long term, mutation carriers are at elevated risk of developing metachronous ipsilateral breast cancer (18).
A significant concern for BRCA1/2 breast cancer survivors is the threat of developing ovarian cancer. Metcalfe et al. (19) reported that the 10-year actuarial risk of ovarian cancer in such patients was 12.7% and 6.8% for BRCA1 and BRCA2 carriers, respectively. Similar findings were seen by Domchek et al. with a risk of ovarian cancer following breast cancer of 7.8% in BRCA1 carriers and 3.3% in BRCA2 carriers with a median follow up of approximately 4 years (20). Of note, the development of ovarian cancer was the cause of death in one-fourth of the patients with stage I breast cancer in the Metcalfe study, underscoring the importance of considering the impact of mutation status in individuals who present with a malignancy.
Second Malignancies after Ovarian Cancer
An additional clinical concern is the risk of breast cancer following a diagnosis of ovarian cancer in BRCA1/2 mutation carriers. Two studies have examined this issue and have found a low risk of breast cancer within 5 years of the diagnosis of ovarian cancer, which may be due in part to the impact of ovarian cancer treatment. At the same time, the risk of developing recurrent ovarian cancer was quite high. Specifically, Vencken et al. reported that women with BRCA- associated ovarian cancer had lower 5-year and 10-year risks of primary breast cancer (6%, and 11%, respectively) compared with unaffected mutation carriers (16%, and 28%, respectively); in addition, those with ovarian cancer had significantly higher mortality rates. The risk of death in those with ovarian cancer at 2, 5, and 10 years were 13%, 33%, and 61%. In comparison, the corresponding risks of death in carriers unaffected at the start of follow up were 1%, 2%, and 2%, respectively; p < .001). Similar findings were seen in Domchek et al. in which the 5- and 10-year breast cancer free survivals for BRCA1/2 mutation carriers following ovarian cancer were 97% (95% CI = 0.92, 0.99) and 91% (95% CI = 0.82, 0.95), respectively. The 5- and 10-year overall survival rates were 85% (95% confidence interval [CI] = 0.78, 0.90) and 68% (95% CI = 0.59, 0.76), respectively. This information can help guide women making decisions about breast cancer management, but suggests that particularly in the first 5 years after diagnosis, conservative (non-surgical) management is reasonable (21, 22).
Other Cancers
Several studies have reported an association between pancreatic cancer and BRCA2 and BRCA1 mutations (23, 24), although the risk is more elevated in the former. The overall number of carriers with pancreatic cancer in these studies is low, but with this limitation, relative risks (RR) have been estimated at 2 to 3 for BRCA1 and 2 to 6 for BRCA2. Despite the clear elevation in RR, the risk of pancreatic cancer in the general population is relatively low and thus even in BRCA2 mutation carriers the lifetime risk estimates for pancreatic cancer appears to be 5% or less. There is concern that individuals in BRCA-families with multiple cases of pancreatic cancer have higher risks but these are difficult to quantify.
With respect to colon cancer risk in mutation carriers, some studies have identified elevated risks (12, 25) and others have not (26). Thus, it is likely that if an elevation in risk exists, it appears to be small. In addition, increased risks of other cancers such as melanoma, uveal melanoma, and gastric cancer (particularly in BRCA2 carriers) (12, 25, 27, 28), have been seen but additional studies are needed to better quantify such risks. There may be a modest global risk in cancer in general.
Cancers Affecting Males
Multiple studies have demonstrated that prostate cancer risks are elevated in BRCA2 mutation carriers with RR as high as 8 (28, 29) with cancers often occurring younger than age 65 (25, 27). The lifetime risk to age 65 is approximately 15% (29). BRCA2-associated prostate cancer appears to be more aggressive with higher risk disease and poorer survival. Male mutation carriers also have a substantially elevated risk of developing breast cancer. For example, a retrospective study utilizing data from 1,939 families, including 97 men with breast cancer, revealed that the cumulative risk of breast cancer at age 70 was 1.2% (95% CI, 0.22%-2.8%) and 6.8% (95% CI, 3.2%-12%) in BRCA1 and BRCA2 carriers, respectively (30). Although these absolute risks are low, the relative risks, particularly up to age 50, are sizable.
Summary: BRCA1/2-Associated Cancer Risks
In summary, given the wide confidence intervals reported in most studies and the range of risks found in different populations, it is difficult to define the precise cancer risks for individual mutation carriers. While it is known that genotype-phenotype correlations, genetic modifiers, and family history impact the risk of breast cancer it is uncertain how to translate these factors into clinical risk assessment (see Cancer Risk Modifiers). Nonetheless, although exact cancer risks for an individual are not known, it is clear that women with BRCA1 and BRCA2 mutations face a substantially elevated risk of early onset breast and ovarian cancer, with increased risks that persist throughout their lifetime.
Breast and Ovarian Cancer Risks in BRCA1/2-Negative Families
When an individual tests negative for BRCA1/2 mutations, the first question that should be asked is whether there is a known mutation in the family. Several studies have demonstrated that individuals who test negative for a known mutation in the family (a “true negative”) are at approximately the same risk for developing breast and ovarian cancer as women in the general population (in the absence of independent risk factors) (31, 32, 33 and 34).
In individuals with negative BRCA1/2 testing and no known mutation in the family, testing is uninformative. Cancer risks in these families are dependent on the strength of the family history. In clinical practice, uninformative results from BRCA1/2 testing are the most commonly encountered outcome and it is important to provide cancer risk assessments that factor in these results. Not surprisingly, relatives of BRCA1/2 negative probands with early onset breast cancer or a strong family history of breast cancer still face increased risks of breast cancer, perhaps as much as three- to fourfold (34). However, of significant importance is that studies have also shown that there is no excess risk of invasive ovarian cancer in high risk BRCA1/2 negative families ascertained through a breast cancer proband. (35, 36) For example, a large study of 8,005 women from 895 families in the United Kingdom found the RR of ovarian cancer to be 0.37 (95% CI, 0.01-2.03) in uninformative BRCA1/2 families (35). However, Lee et al. (37) found that if a family is ascertained through a woman who has ovarian cancer, her close relatives have an elevated risk of ovarian cancer, with a standardized incidence ratio of 1.9. Together, these studies suggest that members of BRCA- negative families, especially those with many cases of breast cancer, have an increased incidence of breast cancer, but are likely not at a significantly increased risk for ovarian cancer. Several computer models (e.g., BRCAPRO, BOADICEA, and IBIS—models which will be discussed shortly—allow the clinician to impute BRCA1/2 test results (in this case, negative or uninformative) and obtain an estimate of breast and ovarian cancer risks in consideration of such test results and the individual’s personal and family history. For families with at least one documented case of ovarian cancer, the possibility must be considered that an undetected mutation in BRCA1/2 exists, there is a mutation in a different gene, or less likely, that the proband tested may be a phenocopy, as discussed later in this chapter.
Cancer Risk Modifiers
Genotype-Phenotype Correlations Within BRCA1 and BRCA2
Patients frequently ask whether mutation-specific data are available that may help individualize BRCA1 or BRCA2 risks. Although studies have suggested that genotype-phenotype correlations may exist, these data are not yet sufficiently substantiated to integrate into clinical counseling. For example, a study of 164 families found that mutations occurring within the central region of the BRCA2 gene, called the ovarian cancer cluster region (OCCR), was associated with a lower risk of breast cancer (RR = 0.63, 95% CI, 0.46-0.84) and a higher risk of ovarian cancer (RR = 1.88, 95% CI, 1.08-3.33) (38). Interestingly, in another study of unselected BRCA2 carriers with ovarian cancer, first-degree relatives had ovarian, colon, stomach, pancreatic, or prostate cancer only when the proband’s mutation was within the OCCR of exon 11, and an excess of breast cancers was observed when the mutation was outside of the OCCR (39). These findings suggest that mutations within the OCCR in BRCA2 may confer a diminished risk of breast cancer (i.e., not necessarily a higher risk of ovarian cancer) and that mutations within the region may be associated with a broader tumor spectrum altogether.
Further studies in BRCA1 and BRCA2 carriers are needed before these data can be used to refine risk estimates in the clinic. In addition, an understanding of putative molecular mechanisms for differential risks will further contribute to our understanding of genotype-phenotype correlations.
Modifier Genes
As discussed earlier, it is possible that specific mutations in the BRCA1/2 genes are associated with variable cancer risks. An increasing body of research is focusing on how polymorphisms in other genes impact BRCA1/2 cancer risks. To generate sample sizes with sufficient statistical power to detect effects of modifier genes, an international consortium of more than 60 groups has been formed, known as CIMBA (Consortium of Investigators of Modifiers of BRCA1 and BRCA2). By pooling data from approximately 30,000 mutation carriers, this group has found multiple genetic modifiers which impact breast risk in BRCA1 and BRCA2 mutation carriers. Interestingly, and importantly, it appears possible that the addition of single nucleotide polymorphism (SNP) panels could aid in individual risk prediction for BRCA1/2 mutation carriers. In one study examining 7 risk-associated SNPs in BRCA2 mutation carriers, the 5% of BRCA2 carriers at highest risk were predicted to have a probability between 80% and 96% of developing breast cancer by age 80, compared with 42% to 50% for the 5% of carriers at lowest risk (40). Although as yet unknown, it is possible that these risk differences might be sufficient to influence the clinical management of mutation carriers.
In the future, it is very possible that individuals seeking information about their cancer risk may undergo a series of genetic tests that could help better personalize their risks. Thus, information about penetrance may be derived from data specific to an identified BRCA1 or BRCA2 mutation as well as SNPs or variants in other genes. In addition, other factors, such as a woman’s reproductive history, hormone use, environmental risk factors, and utilization of risk-reducing measures, may be integrated into estimates of lifetime cancer risk. Integrative models are needed.
Reproductive Factors
A central question has been whether reproductive factors that affect risk in the general population are applicable to BRCA1/2 carriers. Although data are limited, several studies have suggested that early menarche may confer slightly elevated risks for breast cancer among BRCA1/BRCA2 carriers (41, 42). Data on parity and breast cancer risk are less consistent. Some studies have demonstrated an increased risk of breast cancer with increased pregnancies among BRCA1 carriers (41) and BRCA2 carriers (42); with others showing a protective effect (43). Several studies have demonstrated a protective effect of breast-feeding among BRCA1 carriers (41, 44). However, other studies have failed to detect such an effect (43).
The impact of parity on risk of ovarian cancer is inconsistent and controversial. Contrary to studies of the general population, several studies have suggested that increased parity might be a risk factor for ovarian cancer among BRCA1/2 carriers. For example, in a matched case-control study with 794 cases and 2,424 controls, parity was associated with a 33% reduction in the odds of ovarian cancer among BRCA1 carriers, but an increase of the odds of ovarian cancer among BRCA2 carriers (45). However, consistent with literature in the general population, there have also been studies reporting a protective effect of increasing parity among mutation carriers (46).
Oral contraceptive use has been shown to significantly reduce the risk of ovarian cancer, and some studies have shown that use may be associated with a modest increased risk of breast cancer (45, 47) although others have not. Tubal ligation may also reduce the risk of ovarian cancer in mutation carriers (48).
In summary, despite a growing literature on reproductive risk factors, the limited research to date and the inconsistent nature of the results preclude definitive conclusions or concrete integration into risk assessments. Thus, clinical recommendations may not be affected by these factors.
GENETIC COUNSELING AND RISK ASSESSMENT
Criteria for Genetic Counseling Referral
In general, it is recommended that individuals with a suggestive personal and/or family history of breast cancer be referred for genetic counseling, which includes a detailed risk assessment and discussion about the potential likelihood that genetic testing will provide informative results for medical management or for clarifying relatives’ cancer risks. A 10% BRCA1/2 carrier probability has been suggested as a possible threshold for recommending genetic testing (49). However, quantitative estimates combined with clinical judgment form the optimal basis for referral and risk assessment in clinical practice. Indeed, many organizations have published statements about the importance of genetic counseling for individuals at elevated cancer risk, and some contain specific criteria for genetic counseling referral. These groups include the American Society of Clinical Oncology (ASCO), the National Society of Genetic Counselors (NSGC), the National Comprehensive Cancer Network (NCCN), the United States Preventive Services Task Force (USPSTF), the National Institute for Health and Clinical Excellence (NICE), and others (49, 50). In the United States, some third-party payers have established their own criteria for genetic counseling and testing which are used in decisions regarding insurance coverage for testing. We provide sample criteria for referral for consideration of BRCA1/2 testing in Table 17-3. Notably, the criteria for who is considered a “good” candidate for genetic testing has expanded significantly since genetic testing became commercially available in the late 1990s. This is due, in part, to the understanding that in certain clinical situations individuals have a high enough pre-test chance (“prior probability”) of having a gene mutation that there is no need to also have a strong family history. These situations include women diagnosed with breast cancer under 40, women with triple negative breast cancer, women with high grade serous ovarian cancer, men with breast cancer, and Ashkenazi Jewish individuals with breast or ovarian cancer. More liberal application of genetic testing has also been aided by a significant decrease in the rate of detection of variants of uncertain significance (discussed in more detail in the next section).
TABLE 17-3 Criteria for Referral for Genetic Counseling of Individuals at Increased Risk for BRCA1/2-Associated Hereditary Breast Cancera,b
Personal history of breast cancer diagnosed ≤45
Personal history of breast cancer and Ashkenazi Jewish ancestry
Personal history of breast cancer diagnosed ≤50 and at least one first- or second-degree relative with breast cancer ≤50 and/or epithelial ovarian cancer
Personal history of breast cancer and two or more relatives on the same side of the family with breast cancer
Personal history of breast cancer and one or more relatives with epithelial ovarian cancer
Personal history of epithelial ovarian cancer, diagnosed at any age, particularly if Ashkenazi Jewish
Personal history of male breast cancer, particularly if at least one first- or second-degree relative with breast cancer and/or epithelial ovarian cancer
Personal history of triple negative breast cancer ≤60
Relatives of individuals with a deleterious BRCA1/2 mutation
aClose relatives of individuals with the history mentioned in the table are appropriate candidates for genetic counseling. It is optimal to initiate testing in an individual with breast or ovarian cancer prior to testing at-risk relatives.
Genetic counseling is an important component of the risk assessment and genetic testing process. In the latter, preand posttest counseling is important because of complexities in test result interpretation and discussion of medical management options, as well as the potential implications for family members. The process of genetic counseling, which encompasses everything from initial history taking to a review of the potential benefits, limitations, and risks of testing, is comprehensive in nature and is designed to facilitate informed decision-making (51).
Initial or pretest genetic counseling sessions involve a detailed review of the patient’s family and medical history. The family history may be conveniently recorded in the form of a pedigree and should be updated periodically. Pedigrees should include information about maternal and paternal relatives encompassing at least three generations, if possible. It is important to record all cancer or precancerous diagnoses, ages at diagnosis, laterality, treatment, and history of prophylactic or other related surgery. Review of pathology reports is important, not only to verify diagnoses but also to confirm whether certain histologies are present. For example, nonepithelial ovarian cancers, such as germ cell cancers, are not part of the tumor spectrum observed in BRCA1/2 mutation carriers. Relevant environmental and exposure history is also important to note, as well as ethnic ancestry. It is important to document specifically whether individuals are of Ashkenazi (Eastern or Central European) Jewish ancestry. In addition, current ages, or ages at and causes of death, as well as other chronic medical conditions in unaffected and affected individuals, should also be indicated on the pedigree. For example, women who undergo oophorectomy at an early age who also have a positive family history of heart disease or osteoporosis may consider a more in-depth assessment of their own personal risk factors for these conditions so that they can discuss appropriate management options.
Analysis of the pedigree for hallmark features of hereditary cancer provides the basis for an accurate risk assessment. The two approaches to pedigree analysis are (a) a qualitative impression and (b) a quantitative estimate of carrier probability. A qualitative analysis is helpful to determine if a family history contains features suggestive of hereditary breast cancer, especially syndromes not attributable to BRCA1/2 mutations. For example, early onset breast cancer in the presence of a sarcoma, adrenocortical cancer, or childhood cancer is suggestive of Li-Fraumeni syndrome (see Table 17-1) (2). In addition, it can be determined if factors in the family history may make it difficult to discern a pattern of hereditary cancer, thus limiting the utility of some quantitative models of risk assessment. Small family size, few women in the family, premature deaths, and lack of knowledge regarding medical history, are all potential limitations of pedigree analysis. For example, Weitzel et al. (52) found that in families containing a proband with breast cancer before age 50 and a limited family structure, three commonly used risk assessment models did not accurately predict BRCA1/2 carrier probability.
Assessing BRCA1/2 Carrier Probability
Cancer risk assessment encompasses several factors, including the likelihood that an individual or family harbors a gene mutation, the chance that an individual is a gene carrier based on Mendelian analysis, and the cancer risks derived from estimates of gene penetrance. As discussed in the section The Genetic Counseling Process, qualitative impressions of the pedigree are invaluable, particularly for identifying rare syndromes associated with hereditary breast cancer. However, for most women at moderate to high risk presenting for genetic counseling, consideration of BRCA1/2 testing will be most appropriate. In this section, quantitative models for estimates of BRCA1/2 carrier probability will be reviewed.
Several models are available to provide estimates for gene carrier probability. Most of the models discussed here are available to run on the internet or are downloadable at no cost. Probabilities generated by many models vary based on which person is chosen for the analysis, so for some patients it might be more appropriate to run the model on the person most likely to harbor a mutation (or who has the most affected relatives who will be captured within the model) and then Mendelian probabilities can be calculated for other relatives.
Two of the most widely validated models are BRCAPRO and BOADICEA (53, 54 and 55). BRCAPRO was developed in the United Sates and uses Bayesian theory and family history information (e.g., affected status for breast or ovarian cancer, ages of affected and unaffected first- and seconddegree relatives) to estimate BRCA1/2 carrier probabilities as well as breast cancer risk (53). The model, which is included in CancerGene (54) and is frequently updated, also incorporates data about BRCA1/2 mutation frequency and a range of BRCA1/2 mutation penetrance figures based on published estimates. In addition to providing BRCA1/2 probability estimates, this model also generates a pedigree, and age-specific risks for breast cancer (primary and contralateral) and ovarian cancer based on positive and uninformative negative test results. Breast cancer risks are also calculated using Gail model parameters and breast density. Other strengths of the model include the ability to integrate multiple pieces of additional information into BRCA1/2 carrier probability estimates, such as Jewish ancestry, race, age at oophorectomy and/or bilateral prophylactic mastectomy, genetic testing results (for residual probability in the person tested or to account for the possibility of a phenocopy or uninformative result in an unaffected person), and breast tumor marker status, including estrogen and progesterone receptors, HER-2/neu, and cytokines CK14 and CK5/6. Tumor markers indicating the triple negative or basaloid phenotype are predictors of BRCA1 positivity. Of note, however, despite the establishment of ductal carcinoma in situ (DCIS) as part of the BRCA1/2 tumor spectrum (56), at present, the program does not count DCIS as breast cancer (i.e., it factors in cases of invasive breast cancer only); therefore, carrier probability may be underestimated. Users may therefore wish to enter DCIS cases as invasive.
The BOADICEA (Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm) model was originally developed using segregation analysis of breast and ovarian cancer in families identified through population-based series of breast cancer cases and multiple case families in the United Kingdom, and has since been extensively updated to include data from over 2,700 families (57). Unique strengths are that risk estimates computed by the model take into account the polygenic nature of hereditary breast cancer (i.e., implicating genes other than BRCA1 and BRCA2), other cancers associated with BRCA1/2 mutations (i.e., prostate and pancreatic), and the effect of birth cohort on cancer risk (58). Although the online model allows for imputation of any family size and pedigrees may be imported, data input for each family member can be time consuming as, for example, year of birth must be entered. The program will generate a full pedigree. Like BRCAPRO, BRCA1/2 test results are considered; however, oophorectomy status and breast pathology is not included and the model was not developed with in situ cancers in mind. BOADICEA also can be used to predict mutation carrier probabilities as well as cancer risks. This model is widely used in the United Kingdom, and is one of the models suggested for use by the NICE guidelines (49).
Researchers at the University of Pennsylvania developed a model known as Penn II, which is based on 966 BRCA1/2 tested families with at least two cases of breast or ovarian cancer from four high-risk breast cancer screening clinics, and uses logistic regression analysis to determine the likelihood of finding a BRCA1 or BRCA2 mutation in an individual and family (59). Data input consists of answers to 11 short questions (e.g., providing the answers yes/no, the number of affected relatives, and the age of the youngest breast cancer case). Strengths of the model include the incorporation of third-degree relatives in the risk assessment (e.g., first cousins) as well as other BRCA-associated cancers (e.g., pancreatic, prostate, and male breast). If the proband is not affected, carrier probability can be determined by Mendelian calculations. As expected, predictors of finding a mutation include the presence of breast cancer before age 50, male breast cancer, breast-ovarian double primaries, ovarian cancer, and Ashkenazi Jewish ancestry. This model is easy to use in clinical practice and appears to perform well (60). It does not calculate cancer risks.
The Myriad model uses data derived from empirical rates of BRCA1/2 mutation prevalence in over 180,000 consecutive gene analyses performed in their commercial laboratory (61, 62). Mutation carrier probability is calculated based on the age at diagnosis of breast cancer (<50 or ≥50 years), the presence of ovarian cancer or male breast cancer, and the presence or absence of Ashkenazi Jewish ancestry. Like other models, these data also underscore that the presence of ovarian cancer in the family increases the probability of testing positive and, in many cases, as other models substantiate, with comparable family history, Jewish individuals are more likely to harbor a BRCA1/2 mutation than non-Jewish individuals. In families with multiple cases of breast and ovarian cancer, however, the impact of Jewish ancestry has a less significant effect on the likelihood of detecting a mutation. Of note, family history used for inclusion in these data was limited and often not verified. This model is included in the CancerGene package and online (62), and is very easy to use.
The Manchester scoring system was developed based on empiric data from 921 non-Jewish British families, and has been updated to include extensive breast pathology from 2,156 samples (63). This model was developed to ascertain families with at least a 10% prior probability of having a BRCA1 or BRCA2 mutation for the purposes of clinical triage. The model assigns a score for BRCA1 and BRCA2 based on the presence of various cancers (e.g., female and male breast cancer, ovarian, prostate, and pancreatic), the age range in which cancer was diagnosed, and breast pathology and receptor status information (63). No information about unaffected relatives is considered, nor are data about race or Jewish ancestry. Families with a combined score of at least 16 can be used as a 10% threshold, and 20 points as a 20% threshold (63). Limitations of the model include its lack of applicability to Ashkenazi Jewish individuals and that it may underestimate risk in small families or single affected breast cancer probands diagnosed at a young age. This tool is widely used in the U.K. and is incorporated into the NICE guidelines as a tool for selecting candidates for genetic testing (20% or higher) and various management strategies (49). This model, along with others, performs reasonably well in discriminating mutation carriers from noncarriers in validation studies (49).
Finally, a model based on the International Breast Cancer Intervention Study is referred to as IBIS or Tyrer-Cuzick (64). Of importance, this model is applicable only to unaffected women. It considers a family history of breast or ovarian cancer in first-, second-, and thirddegree relatives, including a father or brother with breast cancer, and uses Bayesian calculations, BRCA1/2 penetrance data from the Breast Cancer Linkage Consortium, and assumptions about the existence of a dominantly inherited, low penetrance gene in calculating gene carrier probability. The model is also used frequently to calculate breast cancer risk, and in addition to family history it also incorporates personal risk factors, such as age at menarche and menopause, age at first live childbirth, parity, height, and body mass index, use of hormone replacement therapy, and history of breast conditions that may elevate risk (e.g., atypical hyperplasia and lobular carcinoma in situ [LCIS]). The model has been shown to accurately predict breast cancer risk in some populations, but significantly overestimates it in women with atypical hyperplasia (65). Genetic test results can be entered, but the model assumes that sensitivity for BRCA1/2 mutation detection is 100% because the residual probabilities after testing are always zero. Table 17-4 summarizes the BRCA1/2 mutation probabilities for probands in three different pedigrees as determined by commonly used probability models.
TABLE 17-4 BRCA1/2 Mutation Probabilities for Select Pedigrees
Combined probabilities of finding a BRCA1 or BRCA2 mutation for the proband indicated by an arrow in each pedigree (see Figures 17.1, 17.2, and 17.3). See text for model descriptions and references.