Receipt of Guideline-Concordant Care Is Associated With Improved Survival in Patients With Osteosarcoma in California: A Population-Based Analysis.

PURPOSE: To examine the relationship between guideline-concordant care (GCC) on the basis of national clinical practice guidelines and survival in children (0-14 years), adolescents and young adults (AYAs, 15-39 years), and adults (40 years and older) with osteosarcoma, and to identify sociodemographic and clinical factors associated with receipt of GCC and survival. METHODS: We used data from the California Cancer Registry (CCR) on patients diagnosed with osteosarcoma during 2004-2019, with detailed treatment information extracted from the CCR text fields, including chemotherapy regimens. Multivariable logistic and Cox proportional hazard regression were used for statistical analyses. RESULTS: Of 1,716 patients, only 47% received GCC, with variation by age at diagnosis: 67% of children, 43% of AYAs, and 30% of adults. In multivariable models, patients who received part or all care (v none) at specialized cancer centers were more likely to receive GCC. AYAs and adults were less likely to receive GCC than children (odds ratio [OR], 0.38 [95% CI, 0.30 to 0.50] and OR, 0.40 [95% CI, 0.28 to 0.56], respectively). In a model excluding adults, patients treated by pediatric (v medical) oncologists were more likely to receive GCC (OR, 3.44 [95% CI, 2.40 to 4.94]). Patients with metastatic osteosarcoma at diagnosis who did not receive GCC had a greater hazard of death (hazard ratio [HR], 2.02 [95% CI, 1.55 to 2.63]) but no statistical differences were found in those diagnosed at earlier stages (HR, 1.15 [95% CI, 0.92 to 1.43]). CONCLUSION: GCC was associated with improved survival in patients with metastatic osteosarcoma in California. However, we found disparities in the delivery of GCC, highlighting the need for target interventions to improve delivery of GCC in this patient population.

Disparities in treatment and survival in early-stage hepatocellular carcinoma in California.

BACKGROUND AND OBJECTIVES: Curative intent therapy is the standard of care for early-stage hepatocellular carcinoma (HCC). However, these therapies are under-utilized, with several treatment and survival disparities. We sought to demonstrate whether the type of facility and distance from treatment center (with transplant capabilities) contributed to disparities in curative-intent treatment and survival for early-stage HCC in California. METHODS: We performed a retrospective analysis of the California Cancer Registry for patients diagnosed with stage I or II primary HCC between 2005 and 2017. Primary and secondary outcomes were receipt of treatment and overall survival, respectively. Multivariable logistic regression and Multivariable Cox proportional hazards regression were used to evaluate associations. RESULTS: Of 19 059 patients with early-stage HCC, only 36% (6778) received curative-intent treatment. Compared to Non-Hispanic White patients, Hispanic patients were less likely, and Asian/Pacific Islander patients were more likely to receive curative-intent treatment. Our results showed that rural residence, public insurance, lower neighborhood SES, and care at non-National Cancer Institute-designated cancer center were associated with not receiving treatment and decreased survival. CONCLUSIONS: Although multiple factors influence receipt of treatment for early-HCC, our findings suggest that early intervention programs should target travel barriers and access to specialist care to help improve oncologic outcomes.

Survival After Contralateral Secondary Breast Cancer by Age Group in California.

PURPOSE: Breast cancer (BC) is the most common secondary cancer and has poorer survival than primary BC (pBC) after any prior malignancy. For BC survivors, developing a contralateral secondary BC (CSBC) is the most frequent second-cancer event and is currently treated similarly to pBC. Identifying survival differences between pBC and CSBC could influence future counseling and treatments for patients with CSBC. METHODS: Women (≥15 years) diagnosed with pBC from 1991 to 2015 in the California Cancer Registry (n = 377,176) were compared with those with CSBC (n = 15,586) by age group (15-39 years, n = 406; 40-64 years, n = 6814; ≥ 65 years, n = 8366). Multivariable logistic regression models assessed factors associated with CSBC. Multivariable Cox proportional hazards regression models assessed BC-specific survival (BCSS), while accounting for the competing risk of death. RESULTS: Across all ages, CSBC patients were more likely to have smaller tumors (T2 vs. T1a; 15-39 yeras: OR 0.25, CI 0.16-0.38; 40-64 years: OR 0.41, CI 0.37-0.45; ≥ 65 years: OR 0.46, CI 0.42-0.51) and lymph node-negative disease (positive vs. negative; 15-39 years: OR 0.86, CI 0.69-1.08; 40-64 years: OR 0.88, CI 0.83-0.93; ≥ 65 years: OR 0.89, CI 0.84-0.94). Additionally, CSBC was associated with worse survival compared with pBC across all ages (15-39 years: HR 2.73, CI 2.30-3.25; 40-64 years: HR 2.13, CI 2.01-2.26; ≥ 65 years: HR 1.52, CI 1.43-1.61). CONCLUSION: BCSS is worse among all women diagnosed with CSBC compared with pBC, with the strongest impact seen in adolescent and young adult women. Worse survival after CSBC, despite associations with smaller tumors and lymph node negativity, suggests that CSBC may need eventual treatment reconsideration.

Localized Synovial Sarcoma: A Population-Based Analysis of Treatment Patterns and Survival.

Purpose: Synovial sarcoma (SS) is a rare, high-grade soft tissue tumor that requires multidisciplinary and multimodal care with surgery, radiotherapy, and chemotherapy. We examined the impact of sociodemographic and clinical factors on treatment patterns and survival in localized SS patients. Methods: Adolescents and young adults (AYAs, 15-39 years) and older adults ("adults," ≥40 years) diagnosed with localized SS from 2000 to 2018 were identified in the California Cancer Registry. Multivariable logistic regression identified clinical and sociodemographic factors associated with receipt of chemotherapy and/or radiotherapy. Cox proportional hazards regression identified factors associated with overall survival (OS). Results are reported as odds ratios (ORs) and hazard ratios (HRs), respectively, with 95% confidence intervals (CIs). Results: More AYAs (n = 346) than adults (n = 272) received chemotherapy (47.7% vs. 36.4%) and radiotherapy (62.1% vs. 58.1%). Age at diagnosis, tumor size, treatment at National Cancer Institute-Children's Oncology Group (NCI-COG)-designated facilities, insurance status, and neighborhood socioeconomic status (SES) influenced treatment patterns. Among AYAs, treatment at NCI-COG-designated facilities was associated with receiving chemotherapy (OR 2.74, CI 1.48-5.07) and low SES was associated with worse OS (HR 2.28, 1.09-4.77). In adults, high SES was associated with receiving chemoradiotherapy (OR 3.20, CI 1.40-7.31), whereas public insurance was associated with decreased odds of chemoradiotherapy (OR 0.44, CI 0.20-0.95). With regard to treatment, absence of radiotherapy (HR 1.94, CI 1.18-3.20) was associated with worse OS in adults. Conclusion: In localized SS, both clinical and sociodemographic factors influenced treatment patterns. Further research should investigate how SES-related factors produce treatment disparities and identify interventions to improve treatment equity and outcomes.

Cervical Cancer Stage at Diagnosis and Survival among Women ≥65 Years in California.

BACKGROUND: Through adequate screening and follow-up, cervical cancer can be prevented or detected at early-stage (stage I), which is related to excellent survival. Current guidelines recommend discontinuing screening for women ≥65 years with history of normal Pap and/or HPV tests, potentially leaving this age group vulnerable. This study examined late-stage disease in a population-based cohort. METHODS: Using California Cancer Registry data, we identified 12,442 patients ages ≥21 years with a first primary cervical cancer diagnosed during 2009-2018. Proportions of late-stage disease (stages II-IV) and early- and late-stage 5-year relative survival are presented by the age group. Among patients ages ≥65 years, multivariable logistic regression estimated associations of sociodemographic and clinical characteristics with late-stage cervical cancer. RESULTS: Nearly one fifth of patients (n = 2,171, 17.4%) were ≥65 years. More women ages ≥65 years (71%) presented with late-stage disease than younger women (48% in patients ages <65). Late-stage 5-year relative survival was lower for women ≥65 years (23.2%-36.8%) compared with patients <65 (41.5%-51.5%). Characteristics associated with late-stage cervical cancer in women ≥65 years included older age [odds ratio (OR), 1.02; 95% confidence interval (CI), 1.01-1.04; each year], non-adenocarcinoma histologic subtypes, and comorbidities (OR, 1.59; 95% CI, 1.21-2.08). CONCLUSIONS: There remains a significant burden of advanced cervical cancer in women ≥65. IMPACT: Efforts should be made to better understand how the current screening paradigm is failing women of 65 years and older. Future work should focus on determining past screening history, lapses in follow-up care, and non-invasive testing approaches.

Evaluation of Cancer Deaths Attributable to Tobacco in California, 2014-2019.

Importance: California's tobacco control efforts have been associated with a decrease in cancer mortality, but these estimates are based on smoking prevalence of the general population. Patient-level tobacco use information allows for more precise estimates of the proportion of cancer deaths attributable to smoking. Objective: To calculate the proportion (smoking-attributable fraction) and number (smoking-attributable cancer mortality) of cancer deaths attributable to tobacco use using patient-level data. Design, Setting, and Participants: The smoking-attributable fraction and smoking-attributable cancer mortality were calculated for a retrospective cohort of patients whose cancer was diagnosed from 2014 to 2019 with at least 1 year of follow-up using relative risks from large US prospective studies and patient-level smoking information. Follow-up continued through April 2022. A population-based cohort was identified from the California Cancer Registry. Participants included adults aged 20 years and older with a diagnosis of 1 of the 12 tobacco-related cancers (oral cavity or pharynx, larynx, esophagus, lung, liver, stomach, pancreas, kidney, bladder, colon or rectum, cervix, and acute myeloid leukemia). Exposures: Tobacco use defined as current, former, or never. Main Outcomes and Measures: The primary outcomes were the smoking-attributable fraction and smoking-attributable cancer mortality for each of the 12 tobacco-related cancers over 2 time periods (2014-2016 vs 2017-2019) and by sex. Results: Among 395 459 patients with a tobacco-related cancer, most (285 768 patients [72.3%]) were older than 60 years, the majority (228 054 patients [57.7%]) were non-Hispanic White, 229 188 patients were men (58.0%), and nearly one-half (184 415 patients [46.6%]) had lung or colorectal cancers. Nearly one-half of the deaths (93 764 patients [45.8%]) in the cohort were attributable to tobacco. More than one-half (227 660 patients [57.6%]) of patients had ever used tobacco, and 69 103 patients (17.5%) were current tobacco users, which was higher than the proportion in the general population (11.7%). The overall smoking-attributable fraction of cancer deaths decreased significantly from 47.7% (95% CI, 47.3%-48.0%) in 2014 to 2016 to 44.8% (95% CI, 44.5%-45.1%) in 2017 to 2019, and this decrease was seen for both men and women. The overall smoking-attributable cancer mortality decreased by 10.2%. Conclusions and Relevance: California still has a substantial burden of tobacco use and associated cancer. The proportion of cancer deaths associated with tobacco use was almost double what was previously estimated. There was a modest but significant decline in this proportion for overall tobacco-associated cancers, especially for women.

Frontline treatment patterns and outcomes among older adults with acute myeloid leukemia: A population-based analysis in the modern era.

BACKGROUND: Traditionally, conventional induction chemotherapy has been the primary frontline treatment for acute myeloid leukemia (AML); however, older adults are often poor chemotherapy candidates. Recently, several nonconventional frontline AML regimens, including hypomethylating agents, the BCL-2 inhibitor venetoclax, and targeted therapies, have emerged, and they may offer new options for older adults. This study was aimed at describing treatment patterns and outcomes of older adult AML in a modern population-based cohort. METHODS: This study evaluated patients aged ≥60 years with a first primary diagnosis of AML (2014-2017) in the California Cancer Registry linked to inpatient hospitalizations. Multivariable regression examined factors associated with the frontline treatment regimen and survival. RESULTS: In all, 3068 patients were included; 36% received frontline therapy with a conventional chemotherapy backbone, 42% received nonconventional therapy, and 22% received no treatment. The use of nonconventional therapy increased over time from 38% of patients in 2014 to 47% in 2017 (P < .001). In multivariable analyses, receipt of treatment was associated with an age younger than 80 years, fewer than 2 comorbidities, and care at a National Cancer Institute-designated cancer center (NCI-CC). Compared with conventional chemotherapy, nonconventional therapy was associated with Black race/ethnicity, public health insurance, fewer hospital admissions, and fewer inpatient days. Receiving frontline therapy at an NCI-CC was independently associated with superior overall survival. CONCLUSIONS: Using a population-based approach, this study has demonstrated that patterns of care for frontline AML treatment in older adults are changing, with increasing use of nonconventional therapies. A significant proportion of older adults remain untreated. At the population level, there remain opportunities to increase therapy access for older adults with AML.

Stage at diagnosis and survival among adolescents and young adults with lymphomas following the Affordable Care Act implementation in California.

Adolescents and young adults (AYAs, 15-39 years) are the largest uninsured population in the Unites States, increasing the likelihood of late-stage cancer diagnosis and poor survival. We evaluated the associations between the Affordable Care Act (ACA), insurance coverage, stage at diagnosis and survival among AYAs with lymphoma. We used data from the California Cancer Registry linked to Medicaid enrollment files on AYAs diagnosed with a primary non-Hodgkin (NHL; n = 5959) or Hodgkin (n = 5378) lymphoma pre-ACA and in the early and full ACA eras. Health insurance was categorized as continuous Medicaid, discontinuous Medicaid, Medicaid enrollment at diagnosis/uninsurance, other public and private. We used multivariable regression models for statistical analyses. The proportion of AYAs uninsured/Medicaid enrolled at diagnosis decreased from 13.4% pre-ACA to 9.7% with full ACA implementation, while continuous Medicaid increased from 9.3% to 29.6% during this time (P < .001). After full ACA, AYAs with NHL were less likely to be diagnosed with Stage IV disease (adjusted odds ratio [aOR] = 0.84, 95% confidence interval [CI] = 0.73-0.97). AYAs with lymphoma were more likely to receive care at National Cancer Institute-Designated Cancer Centers (aOR = 1.42, 95% CI = 1.28-1.57) and had lower likelihood of death (adjusted hazard ratio = 0.54, 95% CI = 0.46-0.63) after full ACA. However, AYAs from the lowest socioeconomic neighborhoods, racial/ethnic minority groups and those with Medicaid continued to experience worse survival. In summary, AYAs with lymphomas experienced increased access to healthcare and better clinical outcomes following Medicaid expansion under the ACA. Yet, socioeconomic and racial/ethnic disparities remain, calling for additional efforts to decrease health inequities among underserved AYAs with lymphoma.

Initial cancer treatment and survival in children, adolescents, and young adults with Hodgkin lymphoma: A population-based study.

BACKGROUND: Hodgkin lymphoma (HL) is a treatable tumor affecting children, adolescents and young adults (AYAs; 15-39 years old). Population-based studies report worse survival for non-White children and AYAs but have limited data on individual therapeutic exposures. This study examined overall and HL-specific survival in a population-based cohort of patients while adjusting for sociodemographic factors and treatment. METHODS: Data for 4807 patients younger than 40 years with HL (2007-2017) were obtained from the California Cancer Registry. Individual treatment information was extracted from text fields; chemotherapy regimens were defined by standard approaches for pediatric and adult HL. Multivariable Cox models examined the influence of patient and treatment factors on survival. RESULTS: At a median follow-up of 4.4 years, 95% of the patients were alive. Chemotherapy differed by age, with 70% of 22- to 39-year-olds and 41% of <22-year-olds receiving doxorubicin, bleomycin, vinblastine, and dacarbazine (P < .001). In multivariable models, older patients (22-39 vs < 21 y; hazard ratio [HR], 1.53; 95% confidence interval [CI], 1.11-2.10), Black (vs White patients); HR, 1.90; 95% CI, 1.25-2.88), and Hispanic patients (HR, 1.45; 95% CI, 1.06-1.99) experienced worse survival; among those < 21 y, Black race was associated with a 3.3-fold increased risk of death (HR, 3.26; 95% CI, 1.43-7.42). CONCLUSIONS: In children and AYAs with HL, older age and non-White race/ethnicity predicted worse survival after adjustments for treatment data. Further work is needed to identify the biological and nonbiological factors driving disparities in these at-risk populations.

Symptomatic presentation of cervical cancer in emergency departments in California.

PURPOSE: Through screening and HPV vaccination, cervical cancer can mostly be prevented or detected very early, before symptoms develop. However, cervical cancer persists, and many women are diagnosed at advanced stages. Little is known about the degree to which U.S. women may begin their diagnostic workup for cervical cancer in Emergency Departments (ED). We sought to quantify the proportion of women presenting symptomatically in the ED prior to their diagnosis with cervical cancer and to describe their characteristics and outcomes. METHODS: We identified women diagnosed from 2006 to 2017 with cervical cancer in the California Cancer Registry. We linked this cohort to statewide ED discharge records to determine ED use and symptoms present at the encounter. Multivariable logistic regression models examined associations with ED use and multivariable Cox proportional hazards regression models examined associations with survival. RESULTS: Of the more than 16,000 women with cervical cancer in the study cohort, 28% presented symptomatically in the ED prior to diagnosis. Those presenting symptomatically were more likely to have public (odds ratio [OR] 1.16; 95% confidence interval [CI] 1.06-1.27) or no insurance (OR 4.81; CI 4.06-5.71) (vs. private), low socioeconomic status (SES) (OR 1.76; CI 1.52-2.04), late-stage disease (OR 5.29; CI 4.70-5.96), and had a 37% increased risk of death (CI 1.28-1.46). CONCLUSION: Nearly a third of women with cervical cancer presented symptomatically, outside of a primary care setting, suggesting that many women, especially those with low SES, may not be benefiting from screening or healthcare following abnormal results.

Increasing Rates of Colorectal Cancer Among Young People in California, 1988-2017.

Background: Colorectal cancer (CRC) incidence among persons older than 50 years has decreased in California and nationally, but incidence rates have increased among persons younger than 50 years. Previous studies present incidence rates among younger persons using a wide age group of 20-49 years. However, previous population-based studies did not analyze CRC incidence in subgroups defined by age, sex, race/ethnicity, and stage at diagnosis to better understand incidence trends among younger persons. Methods/Approach: We identified all people diagnosed with CRC at the age of 20-49 years from the California Cancer Registry (n = 39,298; 1988-2017). We used SEER*Stat and Joinpoint software to calculate average annual percentage changes (AAPCs) in incidence rates by age at diagnosis, sex, race/ethnicity, and stage. Age was divided into 10-year intervals (20-29, 30-39, and 40-49 years), stage was categorized as early- and late-stage, and race/ethnicity as non-Hispanic White, non-Hispanic Black, Hispanic, Asian/Pacific Islander, and American Indian groups. Results: Statistically significant increases in early-stage CRC incidence rates were observed among the 20-29, 30-39, and 40-49-year age groups in male and female non-Hispanic White populations (AAPC, 6.3%, 3.3%, and 1.9%, respectively) and Hispanic populations (AAPC, 4.9%, 3.5%, and 2.3%, respectively). Statistically significant increases in late-stage CRC incidence rates were observed among all 3 age groups of male and female non-Hispanic White people (AAPC, 2.8%, 3.1%, and 1.7%, respectively) and Hispanic females (AAPC, 4.2%, 2.3%, and 1.1%, respectively). Statistically significant increases in late-stage CRC incidence rates were also seen in the 30-39 and 40-49-year age groups among non-Hispanic White females (AAPC, 3.4% and 1.8%, respectively), Hispanic males (AAPC, 3.6% and 1.6%, respectively), and Asian/Pacific Islander females (AAPC, 1.9% and 0.7%, respectively). Statistically significant increases in late-stage CRC incidence were observed among 40-to 49-year-old Asian/Pacific Islander males (AAPC, 1.4%) and American Indian males and females (AAPC, 5.5%). Conclusion: CRC is increasing among several young age groups. Because evidence suggests that younger adults present with more advanced disease, these results may be useful for educating health care providers about CRC risk and suggest that CRC screening recommendations should be developed for this population. Continued surveillance of CRC incidence rates among young adults is warranted.

The influence of the Affordable Care Act-Dependent Care Expansion on insurance coverage among young cancer survivors in California: an updated analysis.

PURPOSE: To assess changes in health insurance coverage for young cancer patients pre- and post- the Affordable Care Act-Dependent Care Expansion (ACA-DCE) implementation in California. Further, we examined differences in insurance coverage by socioeconomic and race/ethnicity. METHODS: Data were obtained from the California Cancer Registry and Medicaid enrollment files, from 2005 to 2014. We conducted difference-in-difference analyses among 7042 cancer patients aged 22-25 years ("intervention group") and 25,269 aged 26-34 years ("control group"). We also examined the independent and combined effects of race/ethnicity and neighborhood socioeconomic status (nSES) on insurance coverage. RESULTS: After the ACA-DCE implementation, we observed a 52.7% reduction in the proportion of uninsured and a 35.7% increase in the proportion of privately insured patients. There was also a 17.3% reduction in Medicaid at cancer diagnosis and a 27.5% reduction in discontinuous Medicaid enrollment. However, these benefits were limited to patients of non-Hispanic White, Hispanic and Asian/Pacific Islander race/ethnicity living in higher nSES, with no differences in insurance enrollment among young adults who lived in low nSES or those of Black race/ethnicity. CONCLUSION: The ACA-DCE broadened insurance coverage for young adults with cancer in California. Yet, only certain subgroups of patients have benefited from this policy.

Late Effects in Survivors of Adolescent and Young Adult Acute Lymphoblastic Leukemia.

BACKGROUND: Knowledge regarding late effects (medical conditions and subsequent neoplasms) in survivors of adolescent and young adult (AYA) acute lymphoblastic leukemia (ALL) is lacking. METHODS: Using the population-based California Cancer Registry linked with California hospitalization data, we evaluated late effects in 1069 AYAs (aged 15-39 years) diagnosed with ALL in California between 1995 and 2012 and surviving a minimum of 3 years from diagnosis. RESULTS: The estimated 10-year cumulative incidence of subsequent endocrine disease (28.7%, 95% confidence interval [CI] = 25.8% to 31.6%) and cardiac disease (17.0%, 95% CI = 14.6% to 19.5%) were strikingly high; avascular necrosis (9.6%, 95% CI = 7.8% to 11.6%), liver disease (6.5%, 95% CI = 5.0% to 8.3%), respiratory disease (6.2%, 95% CI = 4.8% to 8.0%), seizure and/or stroke (4.3%, 95% CI = 3.1% to 5.8%), renal disease (3.1%, 95% CI = 2.1% to 4.4%), and second neoplasms (1.4%, 95% CI = 0.7% to 2.4%) were estimated to occur at 10 years with the reported frequencies. Multivariable analyses including the entire patient cohort demonstrated that public or no insurance (vs private and/or military insurance) and receipt of hematopoietic cell transplantation were independently associated with the occurrence of all late effects considered. In multivariable analyses limited to the 766 AYAs who were not transplanted, we continued to find a statistically significant association between public and no insurance and the occurrence of all late effects. Frontline regimen type (pediatric vs adult) was not statistically significantly associated with any of the late effect categories. CONCLUSIONS: This large population-based analysis is among the first to describe late effects in survivors of AYA ALL. The strong association between insurance type and late effects suggests that AYAs with public or no insurance may have reduced access to survivorship care following completion of ALL therapy.

Impact of insurance type and timing of Medicaid enrollment on survival among adolescents and young adults with cancer.

BACKGROUND: Adolescents and young adults (AYAs) with public or no insurance experience later stage at diagnosis and worse overall survival compared with those with private insurance. However, prior studies have not distinguished the survival impact of continuous Medicaid coverage prior to diagnosis compared with gaining Medicaid coverage at diagnosis. METHODS: We linked a cohort of AYAs aged 15-39 who were diagnosed with 13 common cancers from 2005 to 2014 in the California Cancer Registry with California Medicaid enrollment files to ascertain Medicaid enrollment, with other insurance determined from registry data. We used Cox proportional hazards regression to evaluate the impact of insurance on survival, adjusting for clinical and demographic characteristics. RESULTS: Among 62 218 AYAs, over 65% had private/military insurance, 10% received Medicaid at diagnosis, 13.2% had continuous Medicaid, 4.1% had discontinuous Medicaid, 1.7% had other public insurance, 3% were uninsured, and 2.6% had unknown insurance. Compared with those with private/military insurance, individuals with Medicaid insurance had significantly worse survival regardless of when coverage began (received Medicaid at diagnosis: hazard ratio [95% confidence interval]: 1.51 [1.42-1.61]; continuously Medicaid insured: 1.42 [1.33-1.52]; discontinuous Medicaid: 1.64 [1.49, 1.80]). Analyses of those with Medicaid insurance only demonstrated slightly worse cancer-specific survival among those with discontinuous Medicaid or enrollment at diagnosis compared with those with continuous enrollment, but results were not significant stratified by cancer site. CONCLUSIONS AND RELEVANCE: AYAs with Medicaid insurance experience worse cancer-specific survival compared with those with private/military insurance, yet continuous enrollment demonstrates slight survival improvements, providing potential opportunities for future policy intervention.

A population-based assessment of proton beam therapy utilization in California.

OBJECTIVES: Proton beam therapy (PBT) is a type of radiation therapy (RT) used for certain cancer types because it minimizes collateral tissue damage. The high cost and limited availability of PBT have constrained its utilization. This study examined patterns and determinants of PBT use in California. STUDY DESIGN: Persons with diagnoses of all cancer types from 2003 to 2016 inclusive who had any type of RT were identified in the California Cancer Registry in this retrospective analysis. METHODS: Cross-tabulations were performed to summarize the demographic characteristics of the study population, both for individuals who received PBT and for those who received other RT modalities. PBT use patterns over time were assessed. Multivariate logistic regression models assessed the effects of demographics and health insurance type on receipt of PBT. RESULTS: Of the 2,499,510 people with a cancer diagnosis during the study period, 578,632 (23%) received some type of RT, and of these, 8609 received PBT (1.5%). PBT was most often used to treat cancers of the prostate (41.3%), breast (14.0%), eye (11.7%), lung (6.1%), and brain (6.0%). PBT use was highest in 2003-2004 and then declined over time. PBT use was significantly associated with being white or male, younger age, higher socioeconomic status, Medicare or dual Medicare-Medicaid insurance, uninsured/self-pay status, and proximity to treatment. CONCLUSIONS: Significant differences exist in PBT use by demographics and health insurance type. The identified racial and socioeconomic disparities merit further investigation. More granular studies on both use patterns and effectiveness of PBT for specific cancers are needed to draw stronger conclusions about its cost-benefit ratio.

Treatment Patterns and Survival in Older Adults with Diffuse Large B-cell Lymphoma: A Population-Based Study.

BACKGROUND AND OBJECTIVE: Diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma, with a median age of diagnosis of 66 years. Anthracycline-containing regimens are the most common treatments, but toxicity concerns can limit their use in patients older than 80 years. Understanding treatment patterns and associated survival in adults older than 80 years (vs adults aged 65-80 years) can help determine effective management strategies in this population. We sought to describe the impact of age on treatment regimens used and associated survival in older adults with DLBCL. METHODS: Data for 17,859 patients aged ≥65 years diagnosed with DLBCL from 2006 to 2017 were obtained from the California Cancer Registry. Detailed treatment information for each patient was extracted from treatment text fields. Multivariable logistic regression models examined characteristics associated with no treatment and multivariable Cox proportional hazards regression models examined the influence of treatment on overall survival and cancer specific survival. RESULTS: Across both examined age groups (65-80 years and older than 80 years), the most common treatment was anthracycline-containing regimens followed by other drug combinations. For patients older than 80 years, fewer received anthracyclines (32.4%) and more received other drug combinations (17.6%) or had no treatment (13.1%) vs those aged 65-80 years (61.6% anthracyclines, 10.4% other combinations, 5% no treatment). Women were less likely to receive treatment, as were those who were older, had more comorbidities, received treatment at non-National Cancer Institute designated cancer centers, or were diagnosed more recently. For patients older than 80 years, anthracyclines and R-CVP conferred a survival advantage compared to other combinations. CONCLUSION: In this large, population-based group of older adults with DLBCL, patients older than 80 years were less likely to receive initial treatment and more likely to receive other drug combinations despite a survival advantage with more standard anthracycline and nonanthracycline regimen protocols.

Impact of Health Insurance on Stage at Cancer Diagnosis Among Adolescents and Young Adults.

BACKGROUND: Uninsured adolescents and young adults (AYAs) and those with publicly funded health insurance are more likely to be diagnosed with cancer at later stages. However, prior population-based studies have not distinguished between AYAs who were continuously uninsured from those who gained Medicaid coverage at the time of cancer diagnosis. METHODS: AYA patients (ages 15-39 years) with nine common cancers diagnosed from 2005 to 2014 were identified using California Cancer Registry data. This cohort was linked to California Medicaid enrollment files to determine continuous enrollment, discontinuous enrollment, or enrollment at diagnosis, with other types of insurance determined from registry data. Multivariable logistic regression was used to evaluate factors associated with later stages at diagnosis. RESULTS: The majority of 52 774 AYA cancer patients had private or military insurance (67.6%), followed by continuous Medicaid (12.4%), Medicaid at diagnosis (8.5%), discontinuous Medicaid (3.9%), other public insurance (1.6%), no insurance (2.9%), or unknown insurance (3.1%). Of the 13 069 with Medicaid insurance, 50.1% were continuously enrolled. Compared to those who were privately insured, AYAs who enrolled in Medicaid at diagnosis were 2.2-2.5 times more likely to be diagnosed with later stage disease, whereas AYAs discontinuously enrolled were 1.7-1.9 times and AYAs continuously enrolled were 1.4-1.5 times more likely to be diagnosed with later stage disease. Males, those residing in lower socioeconomic neighborhoods, and AYAs of Hispanic or black race and ethnicity (vs non-Hispanic white) were more likely to be diagnosed at a later stage, independent of insurance. CONCLUSIONS: Our findings suggest that access to continuous medical insurance is important for decreasing the likelihood of late stage cancer diagnosis.

Disparities in Systemic Treatment Use in Advanced-stage Non-Small Cell Lung Cancer by Source of Health Insurance.

BACKGROUND: Management of advanced-stage non-small cell lung cancer (NSCLC) has changed significantly over the past two decades with the development of numerous systemic treatments, including targeted therapies. However, a high proportion of advanced-stage patients are untreated. The role that health insurance plays in receipt of systemic treatments is unclear. METHODS: Using California Cancer Registry data (2012-2014), we developed multivariable Poisson regression models to assess the independent effect of health insurance type on systemic treatment utilization among patients with stage IV NSCLC. Systemic treatment information was manually abstracted from treatment text fields. RESULTS: A total of 17,310 patients were evaluated. Patients with Medicaid/other public insurance were significantly less likely to receive any systemic treatments [risk ratio (RR), 0.78; 95% confidence interval (CI), 0.75-0.82], bevacizumab combinations (RR, 0.57; 95% CI, 0.45-0.71), or tyrosine kinase inhibitors (RR, 0.70; 95% CI, 0.60-0.82) compared with the privately insured. Patients with Medicare or dual Medicare-Medicaid insurance were not significantly different from the privately insured in their likelihood of receiving systemic treatments. CONCLUSIONS: Substantial disparities in the use of systemic treatments for stage IV NSCLC exist by source of health insurance in California. Patients with Medicaid/other public insurance were significantly less likely to receive systemic treatments compared with their privately insured counterparts. IMPACT: Source of health insurance influences care received. Further research is warranted to better understand barriers to treatment that patients with Medicaid face.

A text-mining approach to obtain detailed treatment information from free-text fields in population-based cancer registries: A study of non-small cell lung cancer in California.

BACKGROUND: Population-based cancer registries have treatment information for all patients making them an excellent resource for population-level monitoring. However, specific treatment details, such as drug names, are contained in a free-text format that is difficult to process and summarize. We assessed the accuracy and efficiency of a text-mining algorithm to identify systemic treatments for lung cancer from free-text fields in the California Cancer Registry. METHODS: The algorithm used Perl regular expressions in SAS 9.4 to search for treatments in 24,845 free-text records associated with 17,310 patients in California diagnosed with stage IV non-small cell lung cancer between 2012 and 2014. Our algorithm categorized treatments into six groups that align with National Comprehensive Cancer Network guidelines. We compared results to a manual review (gold standard) of the same records. RESULTS: Percent agreement ranged from 91.1% to 99.4%. Ranges for other measures were 0.71-0.92 (Kappa), 74.3%-97.3% (sensitivity), 92.4%-99.8% (specificity), 60.4%-96.4% (positive predictive value), and 92.9%-99.9% (negative predictive value). The text-mining algorithm used one-sixth of the time required for manual review. CONCLUSION: SAS-based text mining of free-text data can accurately detect systemic treatments administered to patients and save considerable time compared to manual review, maximizing the utility of the extant information in population-based cancer registries for comparative effectiveness research.