Abstract
Purpose
Sequence-based cancer susceptibility testing results are described as negative, deleterious mutation or variant of uncertain significance (VUS). We studied the impact of different types of test results on clinical decision making.
Methods
Practicing physicians from five specialties in Texas completed an online case-based survey (n=225). Respondents were asked to make genetic testing and management recommendations for healthy at-risk relatives of cancer patients.
Results
When the patient carried a deleterious BRCA1 mutation or VUS, 98% and 82% of physicians, respectively, recommended testing of at-risk relatives (p<0.0001). In both situations comprehensive BRCA1/2 analysis was selected most with a corresponding 9-fold increase in unnecessary genetic testing costs. There was no difference between physicians with (n=81) or without (n=134) prior BRCA1/2 testing experience (p=0.3869). Cancer risk management recommendations were most intense for the relative with a deleterious mutation compared with VUS, negative or no testing with 63%, 13%, 5% and 2%, respectively recommending oophorectomy (p<0.0001).
Conclusions
Independent of experience, or specialty, physicians chose more comprehensive testing for healthy relatives than current guidelines recommend. In contrast management decisions demonstrated the uncertainty associated with a VUS. Utilization of genetic professionals and education of physicians on family-centered genetic testing may improve efficacy and substantially reduce costs.
Keywords: Genetic testing, Missense mutations, Cancer susceptibility, Risk management, Cost effectiveness
INTRODUCTION
Genetic testing and risk assessment traditionally have been performed by geneticists or other health professionals with genetic expertise. Increasing familiarity with the use of certain genetic tests and the recent growth of direct-to-consumer and physician-centered marketing campaigns by genetic testing laboratories has created increased public awareness and encouraged varied physician specialties to order testing of patients and their at-risk relatives.1;2
To identify the specific mutation responsible for hereditary breast and ovarian cancer syndrome (HBOCS) in a given family sequence-based testing of the entire BRCA1 and BRCA2 coding regions is initiated by testing of a family member with cancer. The results can be (a) normal sequence, with no mutation detected; (b) deleterious mutation; or (c) variant of uncertain significance (VUS). A VUS result is a base change for which there is not sufficient data to determine if it confers cancer risk or is a benign variant. VUS results occur in approximately 5-15% of BRCA1/2 sequencing tests with the likelihood dependent on the patient’s racial or ethnic background.3
Established guidelines for HBOCS, such as those from the National Cancer Care Network (NCCN), recommend that when a deleterious mutation is found in a cancer patient, at-risk relatives are offered a simplified genetic test for that specific mutation (single-site testing) (http://www.nccn.org; version 1.2010)4. Given the uncertainty of the VUS result, genetic testing of at-risk relatives is not recommended. Intensive studies have been done on physician understanding and utilization of deleterious results.5-7 However, there is little research on management of patients and family members when a VUS result is identified. Based on our own clinical experience, we hypothesized that non-geneticist physicians would characterize VUS results similarly to deleterious mutations with regard to genetic testing, cancer risk estimates and cancer surveillance and prophylactic surgery recommendations. In this case-based survey study, we specifically compared genetic testing and cancer risk management recommendations for healthy at-risk women when genetic testing identified a deleterious mutation or VUS in their relative with cancer.
MATERIAL AND METHODS
Design Overview
We designed a case-based survey to assess how physicians of different specialties would utilize genetic test results for an individual with cancer to make genetic testing and cancer risk management recommendations for their patient who was a healthy at-risk relative. The second part of the survey assessed their prior genetic education and experience with genetic testing for cancer susceptibility. The study was submitted to the Baylor College of Medicine Institutional Review Board and deemed exempt.
Setting and Participants
We collaborated with the Texas Medical Association (TMA) to obtain a sample from their master database of all physicians licensed to practice in the State of Texas, which is derived from multiple membership list sources, including the TMA itself and the Texas Medical Board. The sample included direct patient care providers from five medical specialty groups: family medicine (FM), internal medicine (IM), obstetrics/gynecology (OG), general surgery (GS) and hematology/oncology (HO). Eligibility for inclusion in the sample was restricted to those physicians for whom both postal and email addresses were available (62% of sampled specialties). Two hundred physicians were randomly selected from each specialty group, for an initial total sample of 1,000.
Interventions
Sampled physicians were mailed a survey invitation letter from the TMA Physician Oncology Education Program (POEP) that explained the purpose of the study, contained a token gift (USB flash memory drive) and offered a $50 incentive for completion of the survey. Up to four follow-up reminder invitations were sent to non-responders, three via email and one via postal mail. Survey participation invitations were initiated in two batches during the fourth quarter of 2008 and the first quarter of 2009. Survey invitation letters for 28 (3%) of the physicians were returned as undeliverable.
Responders were directed to an online survey form. Each responder logged in using a unique ID code, could exit and re-enter the survey multiple times. Submission of the survey required a response to all questions.
Survey Instrument
The survey was presented in two parts: (1) Case-based descriptions and questions, as described below, and (2) questions about a responder’s training in genetics, clinical experience with genetic testing and referral pattern for patients for genetic evaluation in their own practice. We also inquired about barriers to greater use of genetic evaluation, recommendations for improving genetic test reports, and preferred methods for further education on the topic.
Table 1 describes the cases. Each case posed questions regarding the management of a hypothetical healthy woman (without cancer) of age 41-43 and having a first-degree relative (mother or sister) with breast or ovarian cancer. We provided a text description of family history and pedigrees were available by hyperlink. Test reports in the survey were modeled after actual BRACAnalysis® reports and opened as separate attachments through hyperlinks. In all cases, except Case 1 (no testing), responders were provided the results of comprehensive genetic testing for BRCA1 and BRCA2 of the cancer patient. Responders were then asked to assess the risk of cancer and recommendations for genetic testing for their patient (the “healthy relative”). Secondly, testing was performed in all healthy relatives, except Case 1, either as “self-ordered” if the responder chose to recommend testing or else as “ordered by another provider”. The responders were provided genetic test reports for their patient and asked to re-evaluate their cancer risk and make recommendations for cancer risk management and surveillance options. At the end of each case, responders were asked what information they had used or found helpful in making their recommendations for that case.
Table 1.
Case | Case Description - The healthy relative is between 41-43 years and is a first degree relative of a cancer patient (breast cancer unless otherwise specified) | Cancer Patient’s Test Result | Healthy Relative’s Test Result |
---|---|---|---|
1 | Cancer patient diagnosed at 43 years old, no genetic testing performed; sister seeks counseling | N/A | N/A |
2a | Ovarian cancer patient diagnosed at 59 years old, family history of breast cancer, proceeds with genetic testing; daughter A seeks counseling | Positive for deleterious mutation in BRCA1 | Positive for BRCA1 familial mutation |
2b | Daughter B seeks counseling | Negative for BRCA1 familial mutation | |
3 | Cancer patient diagnosed at 42 years old, proceeds with genetic testing; sister seeks counseling | VUS identified in BRCA1 (sparse information provided on VUS) | Positive for VUS identified in Cancer Patient |
4a | Cancer patient diagnosed at 45 years old, proceeds with genetic testing; daughter seeks counseling | Positive for both deleterious mutation and VUS in BRCA1 (significant data on VUS to suggest likely not cancer associated) | Positive for BRCA1 familial mutation & VUS |
4b | Cancer patient (sister to Case 4a cancer patient) diagnosed at 68 years old, proceeds with genetic testing; daughter seeks counseling | Negative for BRCA1 familial mutation, but positive for VUS | Negative for BRCA1 familial mutation and VUS |
Statistical Analysis
Descriptive statistics were calculated to compare responders to non-responders and to compare the demographic characteristics of responders by specialty group using Chi-square tests and Kruskal-Wallis rank sum test. McNemar’s test was used to compare the differences in physicians’ testing recommendations, post-test cancer risk assessment, and surveillance recommendations for the deleterious mutation and VUS cases. Chi-square tests and Fisher exact tests were used to compare the differences between the specialty groups on options for the VUS case. For each analysis, P-values of less than 5% were considered significant.
We developed a HBOCS cancer risk management intensity score to assess management of cancer risk across several modalities (see Table 2). The score was calculated based on surveillance methods (increasing points for shorter intervals) and prophylactic surgery options, with a maximum possible score of 21. Distributions of scores for each case are shown graphically by histogram and kernel density curves and were compared by pairwise Wilcoxon signed rank test with p-values adjusted by Bonferroni method for multiple comparisons.
Table 2.
Interval of screening | ||||
---|---|---|---|---|
Screening test | 6 months | 12 months | 24 months | Not appropriate |
Clinical breast exam | 3 | 2 | 1 | 0 |
Mammogram | 3 | 2 | 1 | 0 |
Breast MRI | 3 | 2 | 1 | 0 |
Transvaginal sonogram | 3 | 2 | 1 | 0 |
Blood CA-125 level | 3 | 2 | 1 | 0 |
| ||||
Prophylactic Surgery | Yes | No | ||
| ||||
Bilateral mastectomy | 3 | 0 | ||
Bilateral oophorectomy | 3 | 0 |
RESULTS
We present results from a case-based survey of practicing physicians in Texas from five different specialties. We assessed responders’ recommendations for genetic testing, cancer surveillance and prophylactic surgery for at-risk women (“healthy relative”) with a first-degree family member, mother or sister, with breast or ovarian cancer (“cancer patient”). Cases included cancer patients with no genetic testing, BRCA1 deleterious mutation, BRCA1 VUS or both. We also queried each responder about their exposure to genetics in pre- or postgraduate medical training and their experience with genetic testing for cancer susceptibility in their own practice.
Survey Response
A total of 225 completed surveys were submitted from the 972 physicians from whom our survey invitation letter was not returned as undeliverable (response rate=23%). Detailed demographic information was available for both responders and non-responders (see Table 3). Comparison of these nine variables revealed that the only significant difference was mean years in practice (14.2 years for responders vs. 16.7 years for non-responders; Kruskal-Wallis rank sum p=.004). Among the responders, comparisons across the 5 specialties revealed statistical differences on many demographic characteristics; however, the vast majority of responders in all specialty groups were in some form of office-based practice and 84% spent their time on direct patient care.
Table 3.
Non-responders | Responders | |||||||
---|---|---|---|---|---|---|---|---|
Variable | All N=747 | All N=225 | FM N=50 | IM N=48 | OG N=51 | GS N=45 | HO N=31 | P-Value* |
Gender | 0.041 | |||||||
Female | 30% | 30% | 32% | 35% | 41% | 16% | 19% | |
Male | 70% | 70% | 68% | 65% | 59% | 84% | 81% | |
Ethnicity | ||||||||
White | 55% | 54% | 50% | 42% | 66% | 59% | 55% | |
Black | 5% | 4% | 4% | 6% | 4% | 5% | 0% | |
Hispanic | 12% | 10% | 12% | 10% | 4% | 16% | 7% | |
Asian, Pacific Islander | 14% | 17% | 20% | 25% | 6% | 9% | 29% | |
Unknown | 14% | 15% | 14% | 17% | 20% | 11% | 10% | |
Years in Practice | 0.0039 0.004# | |||||||
Mean Years | 16.7 | 14.2 | 15.5 | 9.2 | 16.7 | 15.4 | 14.3 | |
Practice Environment | 0.0040 | |||||||
Solo Practice | 37% | 31% | 39% | 22% | 32% | 44% | 8% | |
Two Physician Practice | 8% | 8% | 10% | 4% | 12% | 9% | 0% | |
Multi-Specialty Group Practice | 10% | 17% | 26% | 19% | 12% | 12% | 16% | |
Single Specialty Group Practice | 32% | 30% | 21% | 22% | 29% | 24% | 64% | |
Academic Setting | 11% | 11% | 0% | 30% | 10% | 9% | 12% | |
Other | 2% | 3% | 4% | 3% | 5% | 2% | 0% | |
Practice Location | <0.0001 | |||||||
Office Based | 86% | 83% | 100% | 44% | 97% | 78% | 88% | |
Hospital Based | 5% | 9% | 0% | 30% | 3% | 19% | 0% | |
Medical School or University | 6% | 6% | 0% | 17% | 0% | 4% | 12% | |
Other | 3% | 1% | 0% | 9% | 0% | 0% | 0% | |
Type of Practice | <0.0001 | |||||||
Direct Patient Care | 87% | 84% | 96% | 85% | 84% | 80% | 65% | |
Direct Patient Care & Research | 4% | 5% | 0% | 4% | 0% | 2% | 29% | |
Direct Patient Care & Teaching | 10% | 11% | 4% | 10% | 16% | 18% | 7% | |
American Medical Association | ||||||||
Membership | 26% | 24% | 22% | 10% | 26% | 31% | 32% | |
Texas Medical Association | 0.012 | |||||||
Membership | 85% | 84% | 76% | 79% | 80% | 93% | 100% | |
County Medical Society | 0.010 | |||||||
Membership | 85% | 84% | 76% | 79% | 78% | 93% | 100% |
FM = family medicine; IM = internal medicine; GS = general surgery; OG = obstetrics/gynecology; HO = hematology-oncology
On significant P-values are shown.
P-values were calculated to compare the difference of the demographic characteristics of responders between specialty group by Kruskal-Wallis rank sum test for “Years in Practice” and Chi-square tests for the others (see Methods).
P-value comparing responders to non-responders for years in practice (Kruskal-Wallis rank sum test).
Genetic Testing Recommendations
For Cases 2a-4b, after being provided the results of comprehensive BRCA1 and BRCA2 testing for the cancer patient, responders were asked to estimate breast and ovarian cancer risk of the first-degree healthy relative (sister or daughter) and whether genetic testing was indicated. The physicians were offered six genetic testing options which resemble those available in the United States: Comprehensive BRCA1 and BRCA2 testing, BRCA1 testing only, BRCA2 testing only, Ashkenazi Panel for three mutations, Single-Site Testing, and Testing Not Appropriate. Definitions of each test type were provided by hyperlink.
Overall, the majority of responders recommended genetic testing for at-risk healthy relatives, regardless of the type of alteration (deleterious or VUS) identified in the cancer patient (Figure 1). For Case 2 with a deleterious BRCA1 mutation identified in the mother with ovarian cancer, testing of the daughters was recommended by 98% of the physician responders. However, to our surprise, only 20.4% of responders chose the NCCN recommended single site option (Figure 1a). Hematology-oncology (HO) physicians chose single site testing more frequently than other specialties (38.7%; chi-square test, p=0.02). Results for Case 4a, which also had a cancer patient with a deleterious mutation, were similar (data not shown).
In Case 3, a BRCA1 VUS mutation was identified in the cancer patient. There was little information provided in the report to determine pathogenicity of the VUS. Responders did choose “Testing Not Appropriate” (the NCCN recommendation) more often than in Case 2 (18% v. 2%; McNemar’s test, p<0.0001), however, 82% of all responders recommended some level of genetic testing for the at-risk relative (Figure 1b) with no significant differences among specialties (chi-square test, p=0.10). In case 4b, the cancer patient had a VUS where the data provided on the report strongly suggested that it wasn’t pathogenic but the testing recommendations for the at-risk relative were similar to Case 3 (data not shown).
Across specialties, responders most frequently chose “Comprehensive BRCA1 and BRCA2 testing” for the healthy relative when the cancer patient carried either a deleterious mutation or a VUS, 51% or 54%, respectively. We scored each responder for whether they selected the genetic test recommended by the NCCN guidelines for healthy at-risk relatives in four situations (“single-site testing” for cases 2 and 4a and “testing not appropriate” for cases 3 and 4b). Of all responders, 87% had zero or one genetic testing questions correct, and only 2% (n=5) answered all four questions correctly. We next determined whether physician experience with BRCA1/2 testing in their own clinical practice impacted this score as during the survey the physicians were provided the BRCA1/2 genetic test report without any other educational literature about genetic testing. When segregated by experience with BRCA1/2 testing (Figure 1C), physicians with experience (n=81) did not score any better than those without previous experience (n=144; Fisher exact test, p=0.39). The cost for comprehensive BRCA1/2 analysis in the United States is approximately $3,340, while the cost for single-site analysis is $475. We calculated the total cost of the four test recommendations for each respondent (Figure 1D). The median cost was $10,020 compared with $950 for the NCCN recommended strategy.
Post-Test Cancer Risk Assessment
In each case, the responders were then given the healthy relatives’ genetic test report and asked whether the post-test breast cancer and ovarian cancer risk was higher, same or lower than pre-test. When the healthy relative was positive for the deleterious BRCA1 mutation, 70% of all responders assessed the breast cancer risk as “Higher”. In contrast, for Case 3 where the relative carries the VUS only 27% assessed a “Higher” post-test cancer risk even though 82% of responders had recommended genetic testing. The difference in post-test cancer risk assessment between VUS and deleterious mutation is highly significant (McNemar’s test, p<0.0001). There were no significant differences among specialties for post-test risk assessment (chi-square test, p=0.75). Post-test risk estimates for breast and ovarian cancer were similar in all cases.
Cancer Management and Surveillance Recommendations
After reviewing test reports, responders were asked to make recommendations on the type and interval of cancer surveillance and prophylactic surgery options for these healthy women. We developed a HBOCS cancer risk management intensity score with points allotted for the type and interval of surveillance methods and prophylactic surgery (see Table 2). The distribution of scores in Figure 2 demonstrates that responders recommended significantly more intense screening/surgery for the relative with a deleterious BRCA1 mutation compared to the other three scenarios. Although less intense than for a deleterious mutation, physicians did recommend more screening for the relative with a VUS result (Figure 2D) compared to a similar family without testing (Figure 2A). The extended tail in the intensity score distribution for the individuals with either a deleterious or VUS result (Figure 2, Panels C and D) demonstrates a broad range of physician responses for both of these important clinical scenarios.
We specifically examined two components of the NCCN guidelines, prophylactic oophorectomy and breast MRI (figure 3). Similar to intensity score, physicians recommended oopherectomy most frequently in the healthy relative with a deleterious mutation at 63% versus 13% for the VUS result (McNemar’s test, p<0.0001), although, VUS was still greater than the 2.2% for a relative with the same cancer history who had no testing (McNemar’s test, p<0.0001). For breast MRI, 76% of responders recommended MRI (annual surveillance was the screening interval chosen most often) for healthy relatives with a deleterious mutation compared with only 38% for the VUS result (McNemar’s test, p<0.0001). Comparing different specialties (data not shown), general surgeons (24%) were more likely to recommend oopherectomy for women with a VUS then other responders (average 11%) (chi-square test, p=0.03) although there was no difference among specialties for MRI recommendation (chi-square test, p=0.22).
Discussion
As the number of non-geneticist physicians ordering sequenced-based genetic testing increases, it is important to understand how they make decisions with regard to genetic testing and risk management for the healthy at-risk relatives of patients who have undergone testing and whether those decisions are appropriate. While we acknowledge that the low response rate from the sampled physicians is a limitation, previous studies based on physician surveys have reported comparable response rates.8;9 In our study, detailed demographic and practice information was available on the non-responders and demonstrated that the only feature that varied between responders and non-responders was time in practice. Given the relatively new development of genetic testing for cancer risk one would assume that the slightly shorter time in practice of responders would reflect a higher likelihood of education on genetic testing and, if anything, provide a rosier picture of physician knowledge then is warranted. Although our data are limited to physicians practicing in the state of Texas, the Kaiser Family Foundation analysis of the demographic distribution of physicians in Texas compared to the corresponding national distribution shows remarkable consistency for physician density, gender, race, percent primary care physicians, and the specialty breakdown of primary care physicians (http://www.statehealthfacts.org).
Overall, the survey results demonstrate a seemingly contradictory picture between decisions about testing and subsequent risk management. Physicians overwhelmingly recommended testing for a healthy relative when the cancer patient has an uncertain VUS result even though this is an inappropriate strategy and NCCN guidelines do not recommend testing in that situation given the uncertain disease-association of the variant. But, if the healthy relative is found to carry the VUS, only a minority of physicians thought her cancer risk had increased or measures such as MRI or prophylactic surgery were indicated. It should be noted that more physicians recommended more intense management (including 13% recommending oopherectomy) for a relative with a VUS compared to a woman who has a similar family cancer history without testing, thus further education on the interpretation of variants is warranted. However, the recommendations for a deleterious BRCA1 mutation carrier were significantly more intense then the VUS result. Thus, the majority of physician respondents demonstrate appreciation for the uncertainty associated with a VUS result and our initial hypothesis that physicians would manage cancer risk in healthy women carrying a VUS similarly to a deleterious mutation was disproven.
Genetic test request forms require the ordering physician to designate the type of test being ordered and, if single-site testing is chosen, provide the specific mutation identified in the family member with cancer. An unexpected finding from this survey was the significant preference of physicians for comprehensive BRCA1/2 sequencing of the healthy relative whether the cancer patient had a VUS or deleterious mutation. This preference for comprehensive testing existed even though the survey modeled somewhat ideal conditions as physicians were provided the genetic test report of the cancer patient documenting the specific mutation or VUS with an interpretation of the result to facilitate their testing decisions. Physicians that reported clinical experience with BRCA1/2 testing did not score any better in the questions about genetic testing. Very few physicians in any specialty answered at least three of the four genetic testing questions correctly. Other investigators also found that clinical experience did not impact knowledge of cancer genetics.8 The lack of knowledge on the process of family-based testing leads to substantially increased testing costs. Thus, although the total cost of appropriate testing in the four testing questions (“single-site analysis” for the two deleterious BRCA1 mutations and “testing not appropriate” for the two VUS situations) is $950, the median cost of recommendations by physicians was tenfold greater.
In many countries, including in Europe and Australia, guidelines for BRCA1/2 testing require pre-test and post-test genetic counseling by adequately trained professionals.10;11 Comparable regulatory agencies in the US have no such requirements despite recommendations from a number of task forces and advisory committees.2;12 A common reason cited for not pursuing more regulation of the genetic testing process is the financial cost.12 However, our results demonstrate that future cost effectiveness analyses should include the potential for inappropriate ordering of complex genetic testing for family members when measuring the total costs of genetic evaluation. DNA-sequence based testing is now used for a wide variety of medical conditions and is likely to substantially increase in scale with genomic sequencing. The testing process is relatively unique among medical practice in that the specific test recommended for the healthy relative is based on the patient’s genetic test result (which may have been ordered by a different physician) but the type of genetic test ordered for the healthy relative is different than that performed on the patient, e.g. single site versus comprehensive sequencing. Education of physicians on both the concept of family-based testing and the approach to uncertain variants is clearly needed to improve efficacy and reduce costs associated with genetic testing.
Acknowledgments
We acknowledge Claire Noll with work on survey design, Stephanie Gutierrez for data management and the Physician Oncology Education Program board for help in completing this study. This work was supported by R01HG004064 to SEP.
Grant support NIH R01HG004064
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