Genetic testing is essential to identify and manage hereditary breast and ovarian cancer syndrome (HBOC), enabling precision prevention and screening and potentially reducing morbidity, mortality, and cost. The most efficient way to find HBOC cases is among women already diagnosed with breast cancer or ovarian cancer, because they are more likely than cancer-free women to have inherited a cancer-predisposing mutation. Once a cancer patient tests positive, then her cancer-free relatives can undergo a cost-effective, definitive test for the identified gene mutation. Testing cancer patients is thus the gateway to population-wide improvements in HBOC care. Yet genetic testing is difficult to integrate into the complex care of a newly diagnosed cancer patient. This is especially true as technology advances, with multiple-gene sequencing panels (MGS) replacing limited tests of only 2 genes (BRCA1 and BRCA2, BRCA1/2). MGS offers more information, but its value is uncertain. This is because the proportion of patients reported to have an uninformative, often anxiety- producing ?variant of uncertain significance? (VUS) is 2-5% when only BRCA1/2 are tested, versus >30% with MGS. A major concern is that the increasing volume, complexity and ambiguity of results may worsen gaps in testing use, treatment quality, and health outcomes. To advance precision prevention of HBOC, there is great need to understand deployment of genetic testing and results management. Concerns include potential disparities in test use and results among sociodemographic and clinical subgroups and the impact of results on cancer treatment and mortality. To address these concerns we will examine potential gaps in genetic testing use, test results and treatment (including surgery, radiation and chemotherapy) among newly diagnosed breast and ovarian cancer patients, according to pre-test HBOC risk and sociodemographics. We will study approximately 150,000 breast cancer patients and 12,000 ovarian cancer patients who were diagnosed in 2013-2016 and reported to the statewide Georgia and California SEER registries, and then accrued into a Georgia-California SEER Genetic Testing Linkage Initiative (GeneLINK).Our hypotheses are stated as follows. Compared to breast cancer patients with normal test results, those with VUS only will have more contralateral prophylactic mastectomy. Among breast cancer patients indicated for radiation, pathogenic mutation carriers less often receive it than other patients. Among breast cancer patients who are not indicated for chemotherapy, mutation carriers more often receive it than negative/VUS/untested patients do, suggesting over-treatment. We will examine whether more intensive regimens (e.g., anthracyclines or platinums) are more prevalent in mutation carriers than other chemotherapy recipients, controlling for tumor factors. Among ovarian cancer patients with BRCA1/2 mutations who are indicated for targeted therapy with a PARP inhibitor, those with sociodemographic vulnerability factors less often receive it. Among breast and ovarian cancer patients who received chemotherapy, mortality will be lower in pathogenic mutation carriers than in non-mutation carriers.

Public Health Relevance

This is a study of genetic testing, treatment use, and mortality in breast and ovarian cancer patients that can inform strategies to enable precision cancer prevention and reduce the burden of breast and ovarian cancer. This study will accelerate our research agenda to address critical knowledge deficits by identifying successes and failures, gaps and disparities in the real-world use of genetic testing and management of genetic test results at the time of breast or ovarian cancer diagnosis and afterwards.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA225697-02
Application #
9650568
Study Section
Health Disparities and Equity Promotion Study Section (HDEP)
Program Officer
Filipski, Kelly
Project Start
2018-03-01
Project End
2022-02-28
Budget Start
2019-03-01
Budget End
2020-02-29
Support Year
2
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Stanford University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305