Barriers to the Use of Active Surveillance for Thyroid Cancer Results of a Physician Survey

OBJECTIVE

The aim of this study was to determine physician-reported use of and barriers to active surveillance for thyroid cancer.

SUMMARY BACKGROUND DATA

It is not clear whether active surveillance for thyroid cancer is widely used.

METHODS

Surgeons and endocrinologists identified by thyroid cancer patients from the Surveillance, Epidemiology, and End Results (SEER) registries of Georgia and Los Angeles County were surveyed between 2018 and 2019. Multivariable weighted logistic regression analyses were conducted to determine physician acceptance and use of active surveillance. Results: Of the 654 eligible physicians identified, 448 responded to the survey (69% response rate). The majority (76%) believed that active surveillance was an appropriate management option, but only 44% used it in their practice. Characteristics of physicians who stated that active surveillance was appropriate management, but did not report using it included more years in practice (reference group <10 years in practice): 10 to 19 years [odds ratio, OR 0.50 [95% confidence interval, CI 0.28-0.92]; 20 to 29 years [OR 0.31 (95% CI 0.15-0.62)]; >30 years [OR 0.30 (95% CI 0.15-0.61)] and higher patient volume 11 to 30 patients per year [OR 0.39 (95% CI 0.21 -0.70)] and >50 patients per year [OR 0.33 (95% CI 0.16-0.71)] compared to < 10, with no significant difference in those seeing 31 to 50 patients. Physicians reported multiple barriers to implementing active surveillance including patient does not want (80.3%), loss to follow-up concern (78.4%), more patient worry (57.6%), and malpractice lawsuit concern (50.9%).

CONCLUSION AND RELEVANCE

Despite most physicians considering active surveillance to be appropriate management, more than half are not using it. Addressing existing barriers is key to improving uptake.

Chemotherapy Regimens Received by Women With BRCA1/2 Pathogenic Variants for Early Stage Breast Cancer Treatment

BACKGROUND

Genetic testing is widespread among breast cancer patients; however, no guideline recommends using germline genetic testing results to select a chemotherapy regimen. It is unknown whether breast cancer patients who carry pathogenic variants (PVs) in BRCA1 and/or 2 (BRCA1/2) or other cancer-associated genes receive different chemotherapy regimens than noncarriers.

METHODS

We linked Surveillance, Epidemiology, and End Results registry records from Georgia and California to germline genetic testing results from 4 clinical laboratories. Patients who 1) had stages I-III breast cancer, either hormone receptor (HR) positive and HER2 negative or triple negative (TNBC), diagnosed in 2013-2017; 2) received chemotherapy; and 3) were linked to genetic results were included. Chemotherapy details were extracted from Surveillance, Epidemiology, and End Results text fields completed by registrars. We examined whether PV carriers received more intensive regimens (HR-positive,HER2-negative: ≥3 drugs including an anthracycline; TNBC: ≥4 drugs including an anthracycline and platinum) and/or less standard breast cancer agents (a platinum). All statistical tests were 2-sided.

RESULTS

Among 2293 patients, 1451 had HR-positive, HER2-negative disease, and 842 had TNBC. On multivariable analysis of women with HR-positive, HER2-negative disease, receipt of a more intensive chemotherapy regimen varied statistically significantly by genetic results (P = .02), with platinum receipt more common among BRCA1/2 PV carriers (odds ratio = 2.44, 95% confidence interval = 1.36 to 4.38; P < .001). Among women with TNBC, chemotherapy agents did not vary significantly by genetic results.

CONCLUSION

BRCA1/2 PV carriers with HR-positive, HER2-negative breast cancer had twofold higher odds than noncarriers of receiving a platinum, as part of a more intensive chemotherapy regimen. This likely represents overtreatment and emphasizes the need to monitor how genetic testing results are managed in oncology practice.

Abstract 3678: Drivers of racial, regional, and socioeconomic disparities in metastatic breast cancer mortality

Despite an overall decline in breast cancer (BC) mortality due to advancements in cancer therapy, mortality disparities by race, rurality, and socioeconomic status (SES) persist among women diagnosed with metastatic disease in the US. Women residing in high-poverty or rural areas or who are non-Hispanic Black (NHB) experience higher rates of BC mortality relative to their counterparts. Although mortality disparities among late-stage BC patients are well-documented, few studies have examined the drivers of these disparities, which are likely multifactorial. We sought to identify tumor, treatment, and patient characteristics that may contribute to differences in BC mortality by race, rurality, and SES among women diagnosed with a first primary stage IIIB - IV BC in Georgia.Using the Georgia Cancer Registry, we identified 3085 patients with an initial diagnosis of stage IIIB-IV primary BC between January 2013 and December 2017. Cox proportional hazards regression was used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) to compare NHB vs. non-Hispanic White (NHW), rural vs. urban residents, and residents of low- vs. high-SES neighborhoods by tumor (stage, grade, ER status, and molecular subtype), treatment (surgery type, receipt of chemotherapy, radiation, hormonal, neoadjuvant, and immunotherapy), and patient (race, insurance, age group, marital status, region, SES) characteristics. Using an extension of the counterfactual framework, we estimated the mediating effects of subtype, stage, SES, rurality, and insurance on the association between race and BC mortality. Among the study population, 41% were NHB, 21% resided in rural counties, and 72% resided in low SES neighborhoods. Overall, we observed mortality disparities by race (HR=1.27, 95% CI: 1.13, 1.41) and rurality (HR=1.14, 95% CI: 1.00, 1.30), but not by SES (HR=1.04, 95% CI: 0.91, 1.19). In the stratified analyses, racial disparities were the most pronounced among women with HER2 overexpressing tumors (HR=2.30, 95% CI: 1.53, 3.45). Residing in a rural neighborhood was associated with increased mortality among uninsured women (HR=2.25, 95% CI: 1.31, 3.86) or receipt of breast-conserving surgery (HR=2.21, 95 CI%: 1.32, 3.71). The most pronounced socioeconomic disparities were among younger women (&lt;40 years: HR=1.46, 95% CI: 0.88, 2.42) and patients who received neoadjuvant therapy (HR=1.44, 95% CI: 1.01, 2.05). The mediation analysis demonstrated that 48% of the effect between race and BC mortality was mediated by subtype.There is considerable variation in racial, regional, and socioeconomic disparities in metastatic BC mortality by tumor, treatment, and patient characteristics. For each, we’ve identified patient groups where disparities are most pronounced. Understanding specific barriers within these patient groups will inform future interventions aimed at reducing disparities in metastatic BC mortality.

Citation Format: Leah Moubadder, Lindsay J. Collin, Rebecca Nash, Jeffrey Switchenko, Jasmine Miller-Kleinhenz, Keerthi Gogineni, Kevin C. Ward, Lauren E. McCullough. Drivers of racial, regional, and socioeconomic disparities in metastatic breast cancer mortality [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3678.

A pilot study to increase cascade genetic testing in families with hereditary cancer syndromes

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Background: There is great need to build and evaluate tools and strategies to improve cascade genetic risk evaluation in families at high risk for hereditary cancer. The Genetic Information and Family Testing (GIFT) Trial (CA254822) is a population-based intervention that examines features of a virtual platform that provides genetic risk education (GRE) and low-cost genetic testing (GT) to relatives of adult patients diagnosed with cancer in 2018-19 in Georgia and California and tested positive for a clinically relevant germline pathogenic variant (PV). We present findings of a pilot study intended to inform the GIFT Trial protocol and platform features. Methods: We surveyed 277 women diagnosed with breast cancer in 2017, reported to the Georgia SEER registry, and received genetic testing (95% of whom had a clinically relevant PV). We then invited respondent patients to enroll in the intervention phase which provided online GRE, human pretest genetic navigator support, and an offer of low-cost GT through Color Health, Inc. to all untested 1st or 2nd degree relatives. Respondent patients were eligible for the intervention if they reported a PV on genetic testing and had at least one relative who had not received GT. Enrolled patients invited relatives through the platform by providing email addresses. Family clusters were block randomized to free vs $50 test costs at the time of the initial patient invitation. Results: At study midpoint, 117 of 277 patients (42%) had returned surveys: median age was 51 and 22% were African American. The most frequent PVs reported by the patients were BRCA1/2 (41%), CHEK2 (21%), and PALB2 (8%). Half (54%) had previously encouraged all of their brothers to get GT and 71% had encouraged all of their sisters to get GT. Three-quarters (78%) strongly agreed it was important for relatives to understand their genetic risk for cancer, and half (54%) strongly agreed they would like to make it easier for relatives to get genetic testing. The median number of patient-reported untested relatives in a family was 8.5 (25th-75th percentile: 4-14). Most respondent patients were eligible for the intervention phase (N = 108, 93%). About one-quarter had enrolled in the intervention at midpoint (16 of 53 in no-cost arm vs 16 of 55 in $50 arm). Patients in the no-cost arm invited 21 relatives, 10 of whom had enrolled with 8 ordering GT (38% of invited relatives). Patients in the $50 arm invited 38 relatives, 18 of whom had enrolled with 17 ordering GT (45% of invited relatives). Overall, about half of enrolled relatives (46%) were men. Conclusions: Breast cancer patients with PVs make substantial efforts to communicate with family members about genetic risk; but they strongly endorse the need for additional support to facilitate this complex communication. Interim pilot findings suggest that a low-cost online navigator-supported intervention can directly engage relatives with little difference in GT uptake by test cost arms.

Association of germline genetic testing results with chemotherapy regimens received by women with early-stage breast cancer

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Background: Germline genetic testing is widespread after breast cancer diagnosis and increasingly informs treatment decisions; however, guidelines do not advise selecting chemotherapy regimens based on genetic testing results. It is unknown whether women with pathogenic variants (PVs) in BRCA1, BRCA2 ( BRCA1/2) or other cancer risk genes receive different chemotherapy regimens than women with negative genetic testing results. Methods: We linked Surveillance, Epidemiology and End Results (SEER) registry records from Georgia and California to clinical germline genetic testing results from four participating laboratories (Ambry, Bioreference/GeneDx, Invitae, and Myriad). For this analysis, we included patients who: 1) were diagnosed with stages I-III breast cancer, either hormone receptor-positive and HER2-negative (HR+HER2-) or triple-negative, in Georgia or California from 2013-2017; 2) received chemotherapy based on SEER records; and 3) linked to a genetic testing result. We further selected cases by genetic testing results: 50% PVs in BRCA1/2 or another cancer risk gene, 25% variant of uncertain significance (VUS) only and 25% negative. We extracted details of chemotherapy regimens from SEER text fields completed by registrars. We categorized regimens by drug classes reported (anthracycline, taxane, platinum, nitrogen mustard, other). We used multivariable models that controlled for age, race/ethnicity, stage, grade, surgical procedure, radiotherapy receipt and geographic site to test whether PV carriers received a more intensive chemotherapy regimen. For HR+HER2-, a more intensive regimen was defined as at least three drugs including an anthracycline and for triple-negative, as at least four drugs including an anthracycline and a platinum (versus fewer drugs). Results: 2,293 women were included, 1,451 with HR+HER2- and 842 with triple-negative disease. On multivariable analysis, receipt of a more intensive chemotherapy regimen was associated with having a BRCA1/2 PV among women with HR+HER2- disease (odds ratio 1.22, p = 0.036), but not among women with triple-negative disease. Moreover, platinum use was elevated in BRCA1/2 PV carriers with HR+HER2- disease (from an adjusted model: BRCA1/2 PV 10.9%, other PV 3.6%, VUS 5.6%, negative 5.7%), while in BRCA1/2 PV carriers with triple-negative disease, platinum use did not vary significantly by genetic results ( BRCA1/2 27.7%, other PV 27.7%, VUS 20.9%, negative 20.7%; p = 0.025 for interaction between genetic result and subtype). Conclusions: Compared to women with negative genetic testing results, women with BRCA1/2 PVs more often received a platinum and/or an anthracycline in chemotherapy regimens for early-stage, HR+HER2- breast cancer. This suggests potential over-treatment. No differences in chemotherapy regimen by genetic testing result were observed in triple-negative disease.

Time to Surgical Treatment and Facility Characteristics as Potential Drivers of Racial Disparities in Breast Cancer Mortality

BACKGROUND

Black women are more likely to die of breast cancer than White women. This study evaluated the contribution of time to primary surgical management and surgical facility characteristics to racial disparities in breast cancer mortality among both Black and White women.

METHODS

The study identified 2224 Black and 3787 White women with a diagnosis with stages I to III breast cancer (2010-2014). Outcomes included time to surgical treatment (> 30 days from diagnosis) and breast cancer mortality. Odds ratios (ORs) and 95% confidence intervals (CIs) associating surgical facility characteristics with surgical delay were computed, and Cox proportional hazards regression was used to compute hazard ratios (HRs) and 95% CIs associating delay and facility characteristics with breast cancer mortality.

RESULTS

Black women were two times more likely to have a surgical delay (OR, 2.15; 95% CI, 1.92-2.41) than White women. Racial disparity in surgical delay was least pronounced among women treated at a non-profit facility (OR, 1.95; 95% CI, 1.70-2.25). The estimated mortality rate for Black women was two times that for White women (HR, 2.00; 95% CI, 1.83-2.46). Racial disparities in breast cancer mortality were least pronounced among women who experienced no surgical delay (HR, 1.81; 95% CI, 1.28-2.56), received surgery at a government facility (HR, 1.31; 95% CI, 0.76-2.27), or underwent treatment at a Commission on Cancer-accredited facility (HR, 1.82; 95% CI, 1.38-2.40).

CONCLUSIONS

Black women were more likely to experience a surgical delay and breast cancer death. Persistent racial disparities in breast cancer mortality were observed across facility characteristics except for government facilities.

Perceived financial decline related to breast reconstruction following mastectomy in a diverse population-based cohort

BACKGROUND

Despite mandated insurance coverage for breast reconstruction following mastectomy, health care costs are increasingly passed on to women through cost-sharing arrangements and high-deductible health plans. In this population-based study, the authors assessed perceived financial and employment declines related to breast reconstruction following mastectomy.

METHODS

Women with early-stage breast cancer (stages 0-II) diagnosed between July 2013 and May 2015 who underwent mastectomy were identified through the Surveillance, Epidemiology, and End Results registries of Georgia and Los Angeles and were surveyed. Primary outcome measures included patients' appraisal of their financial and employment status after cancer treatment. Multivariable models evaluated the association between breast reconstruction and primary outcomes.

RESULTS

Among 883 patients with breast cancer who underwent mastectomy, 44.2% did not undergo breast reconstruction, and 55.8% underwent reconstruction. Overall, 21.9% of the cohort reported being worse off financially since their diagnosis (25.8% with reconstruction vs 16.6% without reconstruction; P = .002). Women who underwent reconstruction reported higher out-of-pocket medical expenses (32.1% vs 15.6% with expenses greater than $5000; P < .001). Reconstruction was independently associated with a perceived decline in financial status (odds ratio, 1.92; 95% confidence interval, 1.15-3.22; P = .013). Among women who were employed at the time of their diagnosis, there was no association between reconstruction and a perceived decline in employment status (P = .927).

CONCLUSIONS

In this diverse cohort of women who underwent mastectomy, those who elected to undergo reconstruction experienced higher out-of-pocket medical expenses and self-reported financial decline. Patients, providers, and policymakers should be aware of the potential financial implications related to reconstruction despite mandatory insurance coverage.

Characteristics of prostate cancer patients captured by facility-based versus geography-based cancer registries

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Background: Cancer registries provide valuable information related to cancer epidemiology, treatment, and outcomes. However, the sampling for inclusion can impact generalizability of findings to other settings. We use a population-based cancer registry to evaluate demographics, cancer factors, and treatment patterns based on eligibility for a facility-based cancer registry. Methods: We used the Surveillance, Epidemiology, and End Results (SEER) database to identify men diagnosed with prostate cancer (site = C61.9) in 2018. Exposure was whether data were reported from a facility accredited by American College of Surgeons’ Commission on Cancer (CoC), providing eligibility for the National Cancer Database (NCDB) (i.e., NCDB-eligible). Outcomes of interest included demographics, tumor factors (e.g., biopsy grade), and treatment. Bivariate testing and multivariable regression analyses tested for significant associations between exposure and outcomes of interest. Results: We identified 57,713 men diagnosed with prostate cancer in 2018, of which 32,384 (61.9%) were eligible for inclusion in NCDB. NCDB-eligible men were younger (66.6 vs 67.8 years, p < 0.001), less likely to be Hispanic/Latino (8.0% vs 14.4%, p < 0.001), and more likely to reside in a county with median income over $75,000 (39.7% vs 33.3%, p < 0.001). NCDB eligibility varied widely by registry, from 96.1% in Connecticut to 44.7% in Utah. The proportion of localized cancer patients with Grade Group 1 cancer on biopsy was higher among men ineligible for NCDB (41.4% vs 26.9%, p < 0.001). The proportion of patients with more advanced disease at presentation was higher among NCDB-eligible patients (metastatic: 9.4% vs 6.8%; regional: 18.7% vs 8.7%; p < 0.001). For patients with localized or regional cancer, treatment was identified more frequently among NCDB-eligible patients for both low-risk (38.5% vs 22.7%, p < 0.001) and high-risk tumors (84.9% vs 64.2%). Among treated patients, use of radical prostatectomy was more common among NCDB-eligible patients (low risk: 58.9% vs 43.1%; high risk: 53.7% vs 43.4%, p < 0.001). Conclusions: Prostate cancer patients eligible for inclusion in the facility based NCDB have important differences in demographics, severity of cancer risk, and treatment patterns compared to those who are not eligible. Generalizations related to epidemiologic trends, practice patterns, and outcomes for prostate cancer patients in the NCDB should be interpreted with caution.

Physician Specialties Involved in Thyroid Cancer Diagnosis and Treatment: Implications for Improving Health Care Disparities

CONTEXT

Little is known about provider specialties involved in thyroid cancer diagnosis and management.

OBJECTIVE

Characterize providers involved in diagnosing and treating thyroid cancer.

DESIGN/SETTING/PARTICIPANTS

We surveyed patients with differentiated thyroid cancer from the Georgia and Los Angeles County Surveillance, Epidemiology and End Results registries (N = 2632, 63% response rate). Patients identified their primary care physicians (PCPs), who were also surveyed (N = 162, 56% response rate).

MAIN OUTCOME MEASURES

(1) Patient-reported provider involvement (endocrinologist, surgeon, PCP) at diagnosis and treatment; (2) PCP-reported involvement (more vs less) and comfort (more vs less) with discussing diagnosis and treatment.

RESULTS

Among thyroid cancer patients, 40.6% reported being informed of their diagnosis by their surgeon, 37.9% by their endocrinologist, and 13.5% by their PCP. Patients reported discussing their treatment with their surgeon (71.7%), endocrinologist (69.6%), and PCP (33.3%). Physician specialty involvement in diagnosis and treatment varied by patient race/ethnicity and age. For example, Hispanic patients (vs non-Hispanic White) were more likely to report their PCP informed them of their diagnosis (odds ratio [OR]: 1.68; 95% CI, 1.24-2.27). Patients ≥65 years (vs <45 years) were more likely to discuss treatment with their PCP (OR: 1.59; 95% CI, 1.22-2.08). Although 74% of PCPs reported discussing their patients' diagnosis and 62% their treatment, only 66% and 48%, respectively, were comfortable doing so.

CONCLUSIONS

PCPs were involved in thyroid cancer diagnosis and treatment, and their involvement was greater among older patients and patients of minority race/ethnicity. This suggests an opportunity to leverage PCP involvement in thyroid cancer management to improve health and quality of care outcomes for vulnerable patients.

Abstract PO-173: Spatial heterogeneity and rural-urban differences in the Black-White breast cancer mortality disparity in Georgia

Introduction: Breast cancer mortality in the US is 40% higher among Black than White women. Even among patients with prognostically favorable tumors, disparities persist, suggesting clinical features do not fully account for mortality differences. Area-level factors (e.g., rurality) influence health outcomes and may explain spatial variation in mortality disparities. Rurality can impact access to and quality of care, and socioeconomic status. Georgia is an ideal place to study spatial heterogeneity in race disparities because of the diverse population (&gt;30% Black), large number of counties (159), and pronounced disparities in breast cancer mortality in the Atlanta area. Methods: Race-specific standardized mortality ratios (SMRs) were calculated for each county in Georgia to account for sparsely populated areas and areas with high residential segregation. Observed deaths among women diagnosed with localized or regional breast cancer between 2005 and 2013 were obtained from the Georgia Cancer Registry. To ensure equal follow-up, only deaths within five years of diagnosis were included. Expected deaths were estimated using race-specific population counts, race-specific breast cancer incidence rates, and the pooled (Black and White) mortality rate among Georgia women, with indirect age adjustment (20–44, 45–54, 55+ years). Spatial smoothing methods, including adding neighboring data to meet a threshold and Bayesian models with conditionally autoregressive priors, were used to stabilize local estimates. Counties were classified by 2013 RUC codes (urban: 1–3, rural: 4–9). Results: A total of 3,235 breast cancer deaths were observed during the study period, with 42% among Black women. The median SMR was lower for White (0.8, IQR: 0.7, 1.1) than Black women (1.4, IQR: 1.1, 2.0). Among Black women only, median SMR was greater in rural (1.7, IQR: 1.1, 2.5) than urban counties (1.3, IQR: 1.1, 1.6). After sequentially adding neighboring data to meet a race-specific threshold of 30 observed deaths, smoothed median SMRs were 0.9 (IQR: 0.8, 0.9) and 1.4 (IQR: 1.2, 1.6) for White and Black women, respectively. For Black women, median SMR was attenuated in rural counties (1.4, IQR: 1.2, 1.7) but unchanged in urban counties (1.3, IQR: 1.2, 1.5). The greatest SMRs for Black women were observed in urban counties comprising the Atlanta area and rural southeast Georgia. For example, Fulton County SMRs were 1.6 and 0.7, for Black and White women, respectively. Highest SMRs for White women were observed in southwest Georgia, but were similar to SMRs among Black women in this region. The spatial distribution of SMRs using same neighbor smoothing and Bayesian models were similar. Conclusion: Breast cancer mortality race disparities vary widely across Georgia. These results highlight specific areas for public health intervention, especially among Black women. This work presents a potential mechanism to monitor trends in small area cancer mortality race disparities over time. Future work will model the impact of area-level factors on the disparity magnitude.

Citation Format: Rebecca J. Nash, Lauren E. McCullough, T.J. Pierce, Lindsay J. Collin, Anne H. Gaglioti, Kevin C. Ward, Michael Kramer, Jeffrey Switchenko. Spatial heterogeneity and rural-urban differences in the Black-White breast cancer mortality disparity in Georgia [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PO-173.

Association of Family Cancer History With Pathogenic Variants in Specific Breast Cancer Susceptibility Genes

PURPOSE

Family cancer history is an important component of genetic testing guidelines that estimate which patients with breast cancer are most likely to carry a germline pathogenic variant (PV). However, we do not know whether more extensive family history is differentially associated with PVs in specific genes.

METHODS

All women diagnosed with breast cancer in 2013-2017 and reported to statewide SEER registries of Georgia and California were linked to clinical genetic testing results and family history from two laboratories. Family history was defined as strong (suggestive of PVs in high-penetrance genes such as BRCA1/2 or TP53, including male breast, ovarian, pancreatic, sarcoma, or multiple female breast cancers), moderate (any other cancer history), or none. Among established breast cancer susceptibility genes (ATM, BARD1, BRCA1, BRCA2, CDH1, CHEK2, NF1, PALB2, PTEN, RAD51C, RAD51D, and TP53), we evaluated PV prevalence according to family history extent and breast cancer subtype. We used a multivariable model to test for interaction between affected gene and family history extent for ATM, BRCA1/2, CHEK2, and PALB2.

RESULTS

A total of 34,865 women linked to genetic results. Higher PV prevalence with increasing family history extent (P < .001) was observed only with BRCA1 (3.04% with none, 3.22% with moderate, and 4.06% with strong history) and in triple-negative breast cancer with PALB2 (0.75% with none, 2.23% with moderate, and 2.63% with strong history). In a multivariable model adjusted for age and subtype, there was no interaction between family history extent and PV prevalence for any gene except PALB2 (P = .037).

CONCLUSION

Extent of family cancer history is not differentially associated with PVs across established breast cancer susceptibility genes and cannot be used to personalize genes selected for testing.

Thyrotropin Suppression for Papillary Thyroid Cancer: A Physician Survey Study

Background: Current guidelines recommend against thyrotropin (TSH) suppression in low-risk differentiated thyroid cancer patients; however, physician practices remain underexplored. Our objective was to understand treating physicians' approach to TSH suppression in patients with papillary thyroid cancer. Methods: Endocrinologists and surgeons identified by thyroid cancer patients from the Surveillance, Epidemiology, and End Results registries of Georgia and Los Angeles were surveyed in 2018-2019. Physicians were asked to report how likely they were to recommend TSH suppression (i.e., TSH <0.5 mIU/L) in three clinical scenarios: patients with intermediate-risk, low-risk, and very low-risk papillary thyroid cancer. Responses were measured on a 4-point Likert scale (extremely unlikely to extremely likely). Multivariable logistic regressions were performed to determine physician characteristics associated with recommending TSH suppression in each of the aforementioned scenarios. Results: Response rate was 69% (448/654). Overall, 80.4% of physicians were likely/extremely likely to recommend TSH suppression for a patient with an intermediate-risk papillary thyroid cancer, 48.8% for a patient with low-risk papillary thyroid cancer, and 29.7% for a patient with very low-risk papillary thyroid cancer. Surgeons were less likely to recommend TSH suppression for an intermediate-risk papillary thyroid cancer patient (odds ratio [OR] = 0.36 [95% confidence interval, CI, 0.19-0.69]) compared with endocrinologists. Physicians with higher thyroid cancer patient volume were less likely to suppress TSH in low-risk and very low-risk papillary thyroid cancer patients (i.e., >40 patients per year, OR = 0.53 [CI 0.30-0.96]; OR = 0.49 [CI 0.24-0.99], respectively, compared with 0-20 patients per year). Physicians who estimated higher likelihood of recurrence were more likely to suppress TSH in a patient with very low-risk papillary thyroid cancer (OR = 2.34 [CI 1.91-4.59]). Conclusions: Many patients with low-risk thyroid cancer continue to be treated with suppressive doses of thyroid hormone, emphasizing the need for more high-quality research to guide thyroid cancer management, as well as better understanding of barriers that hinder guideline adoption.

Receipt of Guideline-Concordant Care Does Not Explain Breast Cancer Mortality Disparities by Race in Metropolitan Atlanta

BACKGROUND

Racial disparities in breast cancer mortality in the United States are well documented. Non-Hispanic Black (NHB) women are more likely to die of their disease than their non-Hispanic White (NHW) counterparts. The disparity is most pronounced among women diagnosed with prognostically favorable tumors, which may result in part from variations in their receipt of guideline care. In this study, we sought to estimate the effect of guideline-concordant care (GCC) on prognosis, and to evaluate whether receipt of GCC modified racial disparities in breast cancer mortality.

PATIENTS AND METHODS

Using the Georgia Cancer Registry, we identified 2,784 NHB and 4,262 NHW women diagnosed with a stage I-III first primary breast cancer in the metropolitan Atlanta area, Georgia, between 2010 and 2014. Women were included if they received surgery and information on their breast tumor characteristics was available; all others were excluded. Receipt of recommended therapies (chemotherapy, radiotherapy, endocrine therapy, and anti-HER2 therapy) as indicated was considered GCC. We used Cox proportional hazards models to estimate the impact of receiving GCC on breast cancer mortality overall and by race, with multivariable adjusted hazard ratios (HRs).

RESULTS

We found that NHB and NHW women were almost equally likely to receive GCC (65% vs 63%, respectively). Failure to receive GCC was associated with an increase in the hazard of breast cancer mortality (HR, 1.74; 95% CI, 1.37-2.20). However, racial disparities in breast cancer mortality persisted despite whether GCC was received (HRGCC: 2.17 [95% CI, 1.61-2.92]; HRnon-GCC: 1.81 [95% CI, 1.28-2.91] ).

CONCLUSIONS

Although receipt of GCC is important for breast cancer outcomes, racial disparities in breast cancer mortality did not diminish with receipt of GCC; differences in mortality between Black and White patients persisted across the strata of GCC.

Association of Genetic Testing Results with Mortality Among Women with Breast Cancer or Ovarian Cancer

BACKGROUND

Breast cancer and ovarian cancer patients increasingly undergo germline genetic testing. However, little is known about cancer-specific mortality among carriers of a pathogenic variant (PV) in BRCA1/2 or other genes in a population-based setting.

METHODS

Georgia and California Surveillance Epidemiology and End Results (SEER) registry records were linked to clinical genetic testing results. Women were included who had stages I-IV breast cancer or ovarian cancer diagnosed in 2013-2017; received chemotherapy; and linked to genetic testing results. Multivariable Cox proportional hazard models were used to examine the association of genetic results with cancer-specific mortality.

RESULTS

22,495 breast and 4,320 ovarian cancer patients were analyzed, with a median follow-up of 41 months. PVs were present in 12.7% of breast cancer patients with estrogen and/or progesterone receptor-positive, HER2-negative cancer, 9.8% with HER2-positive cancer, 16.8% with triple-negative breast cancer and 17.2% with ovarian cancer. Among triple-negative breast cancer patients, cancer-specific mortality was lower with BRCA1 (hazard ratio [HR] = 0.49, 95% confidence interval [CI] = 0.35-0.69) and BRCA2 PVs (HR = 0.60, 95% CI = 0.41-0.89), and equivalent with PVs in other genes (HR = 0.65, 95% CI = 0.37-1.13), versus non-carriers. Among ovarian cancer patients, cancer-specific mortality was lower with PVs in BRCA2 (HR = 0.35, 95% CI = 0.25-0.49) and genes other than BRCA1/2 (HR = 0.47, 95% CI = 0.32-0.69). No PV was associated with higher cancer-specific mortality.

CONCLUSIONS

Among breast cancer and ovarian cancer patients treated with chemotherapy in the community, BRCA1/2 and other gene PV carriers had equivalent or lower short-term cancer-specific mortality than non-carriers. These results may reassure newly diagnosed patients and longer follow-up is ongoing.

Health-related quality of life among colorectal cancer survivors of diverse sexual orientations

BACKGROUND

The purpose of this study was to examine the health-related quality of life of sexual minority survivors in comparison with heterosexual survivors.

METHODS

Four hundred eighty eligible survivors participated in a telephone survey that measured survivors' outcomes, which consisted of physical and mental quality of life and self-rated fair or poor health. These survivors were diagnosed with stage I, II, or III colorectal cancer an average of 3 years before the survey and were recruited from 4 cancer registries. Using forward selection with generalized linear models or logistic regression models, the authors considered 4 domains-personal factors, environmental factors, health condition characteristics, and body function and structure-as correlates for each survivorship outcome.

RESULTS

The authors found that unadjusted physical quality of life and self-rated fair/poor health were similar for all survivors. Sexual minority survivors had poorer unadjusted mental quality of life in comparison with heterosexual survivors. After adjustments for covariates, this difference was no longer statistically significant. Three domains (personal factors, health condition characteristics, and body function and structure) explained colorectal cancer survivors' fair/poor health and 46% of the variance in physical quality of life, whereas 56% of the variance in mental quality of life was explained by personal factors, body function and structure, and environmental factors.

CONCLUSIONS

This study has identified modifiable factors that can be used to improve cancer survivors' quality of life and are, therefore, relevant to ongoing efforts to improve the survivorship experience.

Association of the COVID-19 Pandemic with Patterns of Statewide Cancer Services

The coronavirus disease 2019 (COVID-19) pandemic led to delayed medical care in the US. We examined changes in patterns of cancer diagnosis and surgical treatment between January 1 and December 31 in 2020 and 2019 with real-time electronic pathology report data from population-based Surveillance, Epidemiology, and End Results cancer registries from Georgia and Louisiana. During 2020, there were 29,905 fewer pathology reports than in 2019, representing a 10.2% decline. Declines were observed in all age groups, including children and adolescents less than18 years. The nadir was early April 2020, with 42.8% fewer reports than in April 2019. Numbers of reports through December 2020 never consistently exceeded those in 2019 after first declines. Patterns were similar by age group and cancer site. Findings suggest substantial delays in diagnosis and treatment services for cancers during the pandemic. Ongoing evaluation can inform public health efforts to minimize any lasting adverse effects of the pandemic on cancer diagnosis, stage, treatment, and survival.

Cancer-specific mortality associated with germline genetic testing results among women with breast cancer or ovarian cancer treated with chemotherapy

10517

Background: Breast and ovarian cancer patients increasingly undergo germline genetic testing. While studies suggest a greater chemotherapy benefit for carriers of BRCA1/2 pathogenic variants, little is known about whether pathogenic variants in other genes are associated with cancer mortality. Methods: Georgia and California Surveillance, Epidemiology and End Results (SEER) registry records of women diagnosed with breast cancer or ovarian cancer from 2013-2017 were linked to results of clinical germline genetic testing from four participating laboratories. Patients were included if they linked to a genetic result, had stages I-III breast cancer or I-IV epithelial ovarian cancer and received chemotherapy. Multivariable Cox proportional hazard models were used to examine the association of genetic results, demographic and clinical factors with cancer-specific mortality. Results: 21,348 breast and 4,320 ovarian cancer patients were analyzed with median follow-up of 41 months. Pathogenic variants were present in 12% of patients with estrogen and progesterone receptor-positive, HER2-negative breast cancer, 9% with HER2-positive breast cancer, 17% with triple-negative breast cancer and 18% with ovarian cancer. Pathogenic variants were most common in BRCA1/2, CHEK2, PALB2, ATM and BRIP1. Among triple-negative breast cancer patients, mortality was lower with pathogenic variants in BRCA1 (hazard ratio (HR) 0.27, 95% confidence interval (CI) 0.17-0.45) and genes other than BRCA1/2 (HR 0.33, CI 0.13-0.81) versus no pathogenic variant. Genetic results were not associated with mortality in other breast cancer subtypes. Among ovarian cancer patients, mortality was lower with pathogenic variants in BRCA2 (HR 0.36, CI 0.26-0.49) and in genes other than BRCA1/2 (HR 0.48, CI 0.33-0.70). Conclusions: Among breast and ovarian cancer patients treated with chemotherapy, those with germline pathogenic variants in several cancer-associated genes had equivalent or lower short-term mortality than those testing negative. These results may guide patient counseling and clinical trial design.

Association of the COVID-19 pandemic with patterns of cancer services

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Background: The COVID-19 pandemic led to delays in medical care in the United States. We examined changes in patterns of cancer diagnosis and surgical treatment in 2020 using real-time electronic pathology report data from population-based SEER cancer registries in Georgia and Louisiana. Methods: Bi-weekly numbers, distributions, and patterns of pathology reports were compared between January 1st and December 31st in 2020 and the same period in 2019 by age group and cancer site. Results: During 2020, there were 29,905 fewer pathology reports than in 2019, representing a 10.2% decline. Absolute declines were greatest among adults aged ≥50 years (N=23,065); percentage declines were greatest among children and young adults ≤18 years (38.3%). By cancer site, percentage declines were greatest for lung cancer (17.4%), followed by colorectal (12.0%), breast (9.0%) and prostate (5.8%) cancers. Biweekly reports were statistically significantly lower in 2020 than in 2019 from late March through the end of December in most biweekly periods. The nadir was the month of April 2020 – the number of reports was at least 40% lower than in April 2019. The number of reports in 2020 compared with 2019 also declined sharply in early November (26.8%) and late December (32.0%). Numbers of reports in 2020 never consistently exceeded those in 2019 after the first decline. Patterns were similar by cancer site, with variation in magnitude and duration of declines. Conclusions: Significant declines in cancer pathology reports from population-based registries during 2020 suggest substantial delays in screening, evaluation of signs and symptoms, diagnosis, and treatment services for cancers with effective screening tests as well as in cancer sites and age groups without effective screening tests as an indirect result of the COVID-19 pandemic. Ongoing evaluation will be critical for informing public health efforts to minimize any lasting adverse effects of the pandemic on cancer screening, diagnosis, treatment, and survival.[Table: see text]

Multilevel Factors Associated With More Intensive Use of Radioactive Iodine for Low-Risk Thyroid Cancer

CONTEXT

The use of radioactive iodine (RAI) for low-risk thyroid cancer is common, and variation in its use exists, despite the lack of benefit for low-risk disease and potential harms and costs.

OBJECTIVE

To simultaneously assess patient- and physician-level factors associated with patient-reported receipt of RAI for low-risk thyroid cancer.

METHODS

This population-based survey study of patients with newly diagnosed differentiated thyroid cancer identified via the Surveillance Epidemiology and End Results (SEER) registries of Georgia and Los Angeles County included 989 patients with low-risk thyroid cancer, linked to 345 of their treating general surgeons, otolaryngologists, and endocrinologists. We assessed the association of physician- and patient-level factors with patient-reported receipt of RAI for low-risk thyroid cancer.

RESULTS

Among this sample, 48% of patients reported receiving RAI, and 23% of their physicians reported they would use RAI for low-risk thyroid cancer. Patients were more likely to report receiving RAI if they were treated by a physician who reported they would use RAI for low-risk thyroid cancer compared with those whose physician reported they would not use RAI (adjusted OR: 1.84; 95% CI, 1.29-2.61). The odds of patients reporting they received RAI was 55% lower among patients whose physicians reported they saw a higher volume of patients with thyroid cancer (40+ vs 0-20) (adjusted OR: 0.45; 0.30-0.67).

CONCLUSIONS

Physician perspectives and attitudes about using RAI, as well as patient volume, influence RAI use for low-risk thyroid cancer. Efforts to reduce overuse of RAI in low-risk thyroid cancer should include interventions targeted toward physicians, in addition to patients.

Validation of LexisNexis Accurint in the Georgia Cancer Registry's Cancer Recurrence and Information Surveillance Program

BACKGROUND

LexisNexis Accurint is a database of ~84 billion public records that includes an individual's location of residence. Its ability to track residences longitudinally has not been validated. This study used the Georgia Cancer Registry's (GCR's) Cancer Recurrence and Information Surveillance Program (CRISP) to validate the U.S. state of residence and to examine characteristics of patients not included or who had an inaccurate entry in LexisNexis.

METHODS

The GCR is routinely linked to the National Death Index (NDI), providing information regarding the state of residence in which the patient died. We compared the state of residence reported in LexisNexis with the NDI gold standard state of residence at death. Multivariate logistic regression analyses estimated associations between demographic information and: (1) having a mismatch between LexisNexis and NDI and (2) being missed in LexisNexis.

RESULTS

Of the 69,494 patients in the CRISP cohort, 65,890 (95%) were found in LexisNexis and 9,597 (14%) had died. Among a subset of patients who were deceased, the sensitivity of LexisNexis for identifying persons who left Georgia was 42% and the specificity was 89%. Minority groups were more likely to be missed in the LexisNexis database as well as to have discordance between LexisNexis and NDI state of residence at death.

CONCLUSIONS

LexisNexis Accurint failed to identify the emigration of more than half of deceased CRISP patients who had left Georgia but correctly identified most who had remained. The validity of the state of residence is important for studies using LexisNexis as a tool for follow-up.

Time Trends in Receipt of Germline Genetic Testing and Results for Women Diagnosed With Breast Cancer or Ovarian Cancer, 2012-2019

PURPOSE

Genetic testing is important for breast and ovarian cancer risk reduction and treatment, yet little is known about its evolving use.

METHODS

SEER records of women of age ≥ 20 years diagnosed with breast or ovarian cancer from 2013 to 2017 in California or Georgia were linked to the results of clinical germline testing through 2019. We measured testing trends, rates of variants of uncertain significance (VUS), and pathogenic variants (PVs).

RESULTS

One quarter (25.2%) of 187,535 patients with breast cancer and one third (34.3%) of 14,689 patients with ovarian cancer were tested; annually, testing increased by 2%, whereas the number of genes tested increased by 28%. The prevalence of test results by gene category for breast cancer cases in 2017 were BRCA1/2, PVs 5.2%, and VUS 0.8%; breast cancer-associated genes or ovarian cancer-associated genes (ATM, BARD1, BRIP1, CDH1, CHEK2, EPCAM, MLH1, MSH2, MSH6, NBN, NF1, PALB2, PMS2, PTEN, RAD51C, RAD51D, STK11, and TP53), PVs 3.7%, and VUS 12.0%; other actionable genes (APC, BMPR1A, MEN1, MUTYH, NF2, RB1, RET, SDHAF2, SDHB, SDHC, SDHD, SMAD4, TSC1, TSC2, and VHL) PVs 0.6%, and VUS 0.5%; and other genes, PVs 0.3%, and VUS 2.6%. For ovarian cancer cases in 2017, the prevalence of test results were BRCA1/2, PVs 11.0%, and VUS 0.9%; breast or ovarian genes, PVs 4.0%, and VUS 12.6%; other actionable genes, PVs 0.7%, and VUS 0.4%; and other genes, PVs 0.3%, and VUS 0.6%. VUS rates doubled over time (2013 diagnoses: 11.2%; 2017 diagnoses: 26.8%), particularly for racial or ethnic minorities (47.8% Asian and 46.0% Black, v 24.6% non-Hispanic White patients; P < .001).

CONCLUSION

A testing gap persists for patients with ovarian cancer (34.3% tested v nearly all recommended), whereas adding more genes widened a racial or ethnic gap in VUS results. Most PVs were in 20 breast cancer-associated genes or ovarian cancer-associated genes; testing other genes yielded mostly VUS. Quality improvement should focus on testing indicated patients rather than adding more genes.

Predicted Chemotherapy Benefit for Breast Cancer Patients With Germline Pathogenic Variants in Cancer Susceptibility Genes

Breast cancer patients increasingly undergo genetic testing. To examine chemotherapy indications for germline pathogenic variant (PV) carriers, we linked results of germline testing to Georgia and California Surveillance, Epidemiology, and End Results registry records, including 21-gene recurrence score (RS) results, for breast cancer patients diagnosed in 2013-2017. All statistical tests were 2-sided. Patients (N=37 349) had RS results of whom 714 had BRCA1, BRCA2, CHEK2, ATM, PALB2, or Lynch syndrome (MLH1, MSH2, MSH6, PMS2) PVs. For women aged 50 years or older at breast cancer diagnosis, RS often exceeded the chemotherapy benefit threshold (≥26) with BRCA1 (71.7% vs 14.4% with none; P <.001), PALB2 (37.1%; P = .001), and BRCA2 (44.3%; P < .001) PVs. Results were similar for women diagnosed at younger than 50 years of age. PVs in BRCA1, but not BRCA2, PALB2, ATM, CHEK2, or Lynch syndrome genes, were associated with elevated RS on multivariable analysis (P < .001). Results may inform RS testing decisions in breast cancer patients with PVs.

Neighborhood-Level Redlining and Lending Bias Are Associated with Breast Cancer Mortality in a Large and Diverse Metropolitan Area

BACKGROUND

Structural inequities have important implications for the health of marginalized groups. Neighborhood-level redlining and lending bias represent state-sponsored systems of segregation, potential drivers of adverse health outcomes. We sought to estimate the effect of redlining and lending bias on breast cancer mortality and explore differences by race.

METHODS

Using Georgia Cancer Registry data, we included 4,943 non-Hispanic White (NHW) and 3,580 non-Hispanic Black (NHB) women with a first primary invasive breast cancer diagnosis in metro-Atlanta (2010-2014). Redlining and lending bias were derived for census tracts using the Home Mortgage Disclosure Act database. We calculated hazard ratios and 95% confidence intervals (CI) for the associations of redlining, lending bias on breast cancer mortality and estimated race-stratified associations.

RESULTS

Overall, 20% of NHW and 80% of NHB women lived in redlined census tracts, and 60% of NHW and 26% of NHB women lived in census tracts with pronounced lending bias. Living in redlined census tracts was associated with a nearly 1.60-fold increase in breast cancer mortality (hazard ratio = 1.58; 95% CI, 1.37-1.82) while residing in areas with substantial lending bias reduced the hazard of breast cancer mortality (hazard ratio = 0.86; 95% CI, 0.75-0.99). Among NHB women living in redlined census tracts, we observed a slight increase in breast cancer mortality (hazard ratio = 1.13; 95% CI, 0.90-1.42); among NHW women the association was more pronounced (hazard ratio = 1.39; 95% CI, 1.09-1.78).

CONCLUSIONS

These findings underscore the role of ecologic measures of structural racism on cancer outcomes.

IMPACT

Place-based measures are important contributors to health outcomes, an important unexplored area that offers potential interventions to address disparities.