NCI SEER-Linked Virtual Tissue Repository Pilot.

BACKGROUND: The Surveillance, Epidemiology, and End Results (SEER) Program with the National Cancer Institute tested whether population-based cancer registries can serve as honest brokers to acquire tissue and data in the SEER-Linked Virtual Tissue Repository (VTR) Pilot. METHODS: We collected formalin-fixed, paraffin-embedded tissue and clinical data from patients with pancreatic ductal adenocarcinoma (PDAC) and breast cancer (BC) for two studies comparing cancer cases with highly unusual survival (≥5 years for PDAC and ≤30 months for BC) to pair-matched controls with usual survival (≤2 years for PDAC and ≥5 years for BC). Success was defined as the ability for registries to acquire tissue and data on cancer cases with highly unusual outcomes. RESULTS: Of 98 PDAC and 103 BC matched cases eligible for tissue collection, sources of attrition for tissue collection were tissue being unavailable, control paired with failed case, second control that was not requested, tumor necrosis ≥20%, and low tumor cellularity. In total, tissue meeting the study criteria was obtained for 70 (71%) PDAC and 74 (72%) BC matched cases. For patients with tissue received, clinical data completeness ranged from 59% for CA-19-9 after treatment to >95% for margin status, whether radiation therapy and chemotherapy were administered, and comorbidities. CONCLUSIONS: The VTR Pilot demonstrated the feasibility of using SEER cancer registries as honest brokers to provide tissue and clinical data for secondary use in research. Studies using this program should oversample by 45% to 50% to obtain sufficient sample size and targeted population representation and involve subspecialty matter expert pathologists for tissue selection.

Hormonal treatment for newly diagnosed metastatic prostate cancer: a population-based study from the California cancer registry.

INTRODUCTION: To evaluate how often men with metastatic prostate cancer (mPC) receive standard of care treatment with androgen deprivation therapy (ADT). METHODS: Men aged ≥20 years with newly diagnosed mPC (stage IV) between 2010 and 2018 were identified using California Cancer Registry data. Receipt of hormonal therapy as initial cancer treatment was examined by patient/tumor characteristics at time of diagnosis. Chi-square tests and logistic regression, adjusted for covariates, were performed to assess association between receipt of hormonal therapy and patient/tumor characteristics. RESULTS: We identified 13,680 men with newly diagnosed mPC, of which 3637 had local metastasis (N1) only while 9596 had distant metastasis (M1) with or without N1 disease. 21.8 % (n = 2980) of men did not receive ADT. The highest rate of receiving ADT was among men between ages 75-84 (81.6%) and the lowest rate was in men over 85 (76.0%). Asian men had the largest proportion receiving ADT (n = 962, 81.5%) with remaining subgroups having similar proportion of men receiving ADT (76.8% to 77.2%). Once adjusted for covariates, regression results showed men with a higher Gleason score (8-10) were more likely to receive ADT (OR 2.04, 1.82-2.27, p = < 0.001) as well as men with distant sites of metastatic disease (OR 4.02, 3.62-4.46, p = < 0.001). Men residing in neighborhoods with the lowest socioeconomic status were least likely to receive ADT (OR 0.79, 0.68-0.93, p = 0.0032). No differences in receipt of ADT were observed by race/ethnicity. DISCUSSION: Despite significant advancements in the treatment of mPC in recent years, over one-fifth of patients did not receive ADT, which is the backbone for all new systemic therapies. This dataset might help address some of the prostate cancer care disparities in California.

Use of the Decipher genomic classifier among men with prostate cancer in the United States.

BACKGROUND: Management of localized or recurrent prostate cancer since the 1990s has been based on risk stratification using clinicopathological variables, including Gleason score, T stage (based on digital rectal exam), and prostate-specific antigen (PSA). In this study a novel prognostic test, the Decipher Prostate Genomic Classifier (GC), was used to stratify risk of prostate cancer progression in a US national database of men with prostate cancer. METHODS: Records of prostate cancer cases from participating SEER (Surveillance, Epidemiology, and End Results) program registries, diagnosed during the period from 2010 through 2018, were linked to records of testing with the GC prognostic test. Multivariable analysis was used to quantify the association between GC scores or risk groups and use of definitive local therapy after diagnosis in the GC biopsy-tested cohort and postoperative radiotherapy in the GC-tested cohort as well as adverse pathological findings after prostatectomy. RESULTS: A total of 572 545 patients were included in the analysis, of whom 8927 patients underwent GC testing. GC biopsy-tested patients were more likely to undergo active active surveillance or watchful waiting than untested patients (odds ratio [OR] =2.21, 95% confidence interval [CI] = 2.04 to 2.38, P < .001). The highest use of active surveillance or watchful waiting was for patients with a low-risk GC classification (41%) compared with those with an intermediate- (27%) or high-risk (11%) GC classification (P < .001). Among National Comprehensive Cancer Network patients with low and favorable-intermediate risk, higher GC risk class was associated with greater use of local therapy (OR = 4.79, 95% CI = 3.51 to 6.55, P < .001). Within this subset of patients who were subsequently treated with prostatectomy, high GC risk was associated with harboring adverse pathological findings (OR = 2.94, 95% CI = 1.38 to 6.27, P = .005). Use of radiation after prostatectomy was statistically significantly associated with higher GC risk groups (OR = 2.69, 95% CI = 1.89 to 3.84). CONCLUSIONS: There is a strong association between use of the biopsy GC test and likelihood of conservative management. Higher genomic classifier scores are associated with higher rates of adverse pathology at time of surgery and greater use of postoperative radiotherapy.In this study the Decipher Prostate Genomic Classifier (GC) was used to analyze a US national database of men with prostate cancer. Use of the GC was associated with conservative management (ie, active surveillance). Among men who had high-risk GC scores and then had surgery, there was a 3-fold higher chance of having worrisome findings in surgical specimens.

31-Gene Expression Profile Testing in Cutaneous Melanoma and Survival Outcomes in a Population-Based Analysis: A SEER Collaboration.

PURPOSE: The DecisionDx-Melanoma 31-gene expression profile (31-GEP) test is validated to classify cutaneous malignant melanoma (CM) patient risk of recurrence, metastasis, or death as low (class 1A), intermediate (class 1B/2A), or high (class 2B). This study aimed to examine the effect of 31-GEP testing on survival outcomes and confirm the prognostic ability of the 31-GEP at the population level. METHODS: Patients with stage I-III CM with a clinical 31-GEP result between 2016 and 2018 were linked to data from 17 SEER registries (n = 4,687) following registries' operation procedures for linkages. Melanoma-specific survival (MSS) and overall survival (OS) differences by 31-GEP risk category were examined using Kaplan-Meier analysis and the log-rank test. Crude and adjusted hazard ratios (HRs) were calculated using Cox regression model to evaluate variables associated with survival. 31-GEP tested patients were propensity score-matched to a cohort of non-31-GEP tested patients from the SEER database. Robustness of the effect of 31-GEP testing was assessed using resampling. RESULTS: Patients with a 31-GEP class 1A result had higher 3-year MSS and OS than patients with a class 1B/2A or class 2B result (MSS: 99.7% v 97.1% v 89.6%, P < .001; OS: 96.6% v 90.2% v 79.4%, P < .001). A class 2B result was an independent predictor of MSS (HR, 7.00; 95% CI, 2.70 to 18.00) and OS (HR, 2.39; 95% CI, 1.54 to 3.70). 31-GEP testing was associated with a 29% lower MSS mortality (HR, 0.71; 95% CI, 0.53 to 0.94) and 17% lower overall mortality (HR, 0.83; 95% CI, 0.70 to 0.99) relative to untested patients. CONCLUSION: In a population-based, clinically tested melanoma cohort, the 31-GEP stratified patients by their risk of dying from melanoma.

Effect of Technology-Enhanced Screening in Addition to Standard Targeted Clinician Education on the Duration of Untreated Psychosis: A Cluster Randomized Clinical Trial.

Importance: Reducing the duration of untreated psychosis (DUP) is essential to improving outcomes for people with first-episode psychosis (FEP). Current US approaches are insufficient to reduce DUP to international standards of less than 90 days. Objective: To determine whether population-based electronic screening in addition to standard targeted clinician education increases early detection of psychosis and decreases DUP, compared with clinician education alone. Design, Setting, and Participants: This cluster randomized clinical trial included individuals aged 12 to 30 years presenting for services between March 2015 and September 2017 at participating sites that included community mental health clinics and school support and special education services. Eligible participants were referred to the Early Diagnosis and Preventative Treatment (EDAPT) Clinic. Data analyses were performed in September and October 2019 for the primary and secondary analyses, with the exploratory subgroup analyses completed in May 2021. Interventions: All sites in both groups received targeted education about early psychosis for health care professionals. In the active screening group, clients also completed the Prodromal Questionnaire-Brief using tablets at intake; referrals were based on those scores and clinical judgment. In the group receiving treatment as usual (TAU), referrals were based on clinical judgment alone. Main Outcomes and Measures: Primary outcomes included DUP, defined as the period from full psychosis onset to the date of the EDAPT diagnostic telephone interview, and the number of individuals identified with FEP or a psychosis spectrum disorder. Exploratory analyses examined differences by site type, completion rates between conditions, and days from service entry to telephone interview. Results: Twenty-four sites agreed to participate, and 12 sites were randomized to either the active screening or TAU group. However, only 10 community clinics and 4 school sites were able to fully implement population screening and were included in the final analysis. The total potentially eligible population size within each study group was similar, with 2432 individuals entering at active screening group sites and 2455 at TAU group sites. A total of 303 diagnostic telephone interviews were completed (178 [58.7%] female individuals; mean [SD] age, 17.09 years [4.57]). Active screening sites reported a significantly higher detection rate of psychosis spectrum disorders (136 cases [5.6%], relative to 65 [2.6%]; P < .001) and referred a higher proportion of individuals with FEP and DUP less than 90 days (13 cases, relative to 4; odds ratio, 0.30; 95% CI, 0.10-0.93; P = .03). There was no difference in mean (SD) DUP between groups (active screening group, 239.0 days [207.4]; TAU group 262.3 days [170.2]). Conclusions and Relevance: In this cluster trial, population-based technology-enhanced screening across community settings detected more than twice as many individuals with psychosis spectrum disorders compared with clinical judgment alone but did not reduce DUP. Screening could identify people undetected in US mental health services. Significant DUP reduction may require interventions to reduce time to the first mental health contact. Trial Registration: ClinicalTrials.gov Identifier: NCT02841956.

Association of Sociodemographic Characteristics With Survival Among Patients With Urachal Cancer in California From 1988 to 2019.

This cohort study evaluates the sociodemographic characteristics of patients with urachal cancer, cancer treatments, and the association of patient characteristics with overall survival.

Survival Trends of Metastatic Lung Cancer in California by Age at Diagnosis, Gender, Race/Ethnicity, and Histology, 1990-2014.

BACKGROUND: We analyzed the survival trends for patients with metastatic lung cancer in California. MATERIALS AND METHODS: We identified patients first diagnosed with primary lung cancer at distant (metastatic) stage in the California Cancer Registry between 1990 and 2014, with follow-up through end of 2015. Race/ethnicity was categorized into non-Hispanic white, non-Hispanic black, Hispanic, and Asian/Pacific Islander. One-year and 5-year relative survival rates were calculated overall and by age at diagnosis, gender, race/ethnicity, and histology during the study period. Joinpoint regression was used to evaluate the trends and to calculate the annual percentage changes (APCs). RESULTS: A total of 186,156 adults were identified for analysis. Between 1990 and 2014, 1-year relative survival significantly improved from 18.4% to 29.4%, with most improvement observed between 1993 and 2012 (APC, 2.60%; 95% confidence interval, 2.41-2.79; P < .01). Five-year relative survival significantly improved from 2.2% to 5.0%, with an APC of 4.05% (95% confidence interval, 3.47-4.64; P < .01). All age groups experienced an improvement in survival rates. The greatest increases in relative survival were observed among females, Asian/Pacific Islanders, and patients with adenocarcinoma. Yearly survival rates increased for all histologic types over the study period, with adenocarcinoma having the most improvement after 2000. CONCLUSIONS: Survival for patients with metastatic lung cancer in California steadily improved during the 1990 to 2014 period, before the era of lung cancer screening and cancer immunotherapy. The greatest increase in relative survival was observed in those patients who have the most clinical benefit from the history- and biomarker-based precision oncology drugs during the study period.

Pathology Laboratory Policies and Procedures for Releasing Diagnostic Tissue for Cancer Research.

CONTEXT.­: The Surveillance, Epidemiology, and End Results (SEER) cancer registry program is currently evaluating the use of archival, diagnostic, formalin-fixed, paraffin-embedded (FFPE) tissue obtained through SEER cancer registries, functioning as honest brokers for deidentified tissue and associated data. To determine the feasibility of this potential program, laboratory policies for sharing tissue for research needed to be assessed. OBJECTIVE.­: To understand the willingness of pathology laboratories to share archival diagnostic tissue for cancer research and related policies. DESIGN.­: Seven SEER registries administered a 27-item questionnaire to pathology laboratories within their respective registry catchment areas. Only laboratories that processed diagnostic FFPE specimens and completed the questionnaire were included in the analysis. RESULTS.­: Of the 153 responding laboratories, 127 (83%) responded that they process FFPE specimens. Most (n = 88; 69%) were willing to share tissue specimens for research, which was not associated with the number of blocks processed per year by the laboratories. Most laboratories retained the specimens for at least 10 years. Institutional regulatory policies on sharing deidentified tissue varied considerably, ranging from requiring a full Institutional Review Board review to considering such use exempt from Institutional Review Board review, and 43% (55 of 127) of the laboratories did not know their terms for sharing tissue for research. CONCLUSIONS.­: This project indicated a general willingness of pathology laboratories to participate in research by sharing FFPE tissue. Given the variability of research policies across laboratories, it is critical for each SEER registry to work with laboratories in their catchment area to understand such policies and state legislation regulating tissue retention and guardianship.

An Evaluation of the Utility of Big Data to Supplement Cancer Treatment Information: Linkage Between IQVIA Pharmacy Database and the Surveillance, Epidemiology, and End Results Program.

Oral anticancer medications (OAMs) are increasingly utilized. We evaluated the representativeness and completeness of IQVIA, a large aggregator of pharmacy data, for breast cancer, colon cancer, chronic myeloid leukemia, and myeloma cases diagnosed in six Surveillance, Epidemiology, and End Results Program (SEER) registries between 2007 and 2011. Patient's SEER and SEER-Medicare data were linked and compared with IQVIA pharmacy data from 2006 to 2012 for specific OAMs. Overall, 67.6% of SEER cases had a pharmacy claim in IQVIA during the treatment assessment window. This varied by location, race and ethnicity, and insurance status. IQVIA consistently identified fewer cases who received an OAM of interest than SEER-Medicare. The difference was least pronounced for breast cancer agents and most pronounced for myeloma agents. The IQVIA pharmacy database included a large portion of persons in the SEER areas. Future studies should assess receipt of OAMs for other cancer sites and in different SEER registries.

Pre-diagnosis health-related quality of life and survival in older women with endometrial cancer.

PURPOSE: Health-related quality of life (HRQOL) is an important prognostic factor in cancer patients. To date, no other studies have assessed the association between HRQOL measured before diagnosis and survival in older women with endometrial cancer. METHODS: The Surveillance, Epidemiology, and End Results - Medicare Health Outcomes Survey linked database was used to identify 995 women who were at least 65 years old and completed a survey before diagnosis with endometrial cancer. We obtained scores for 10 HRQOL scales, as measured by Medical Outcomes Study Short Form-36 and Veterans RAND 12-Item Survey, and data on activities of daily living (ADLs) impairments and depressive symptoms. Fine and Gray competing risks regression and Cox proportional hazards were used to estimate the association of HRQOL with endometrial cancer-specific and overall survival, respectively. RESULTS: Women who died had worse pre-diagnosis HRQOL than women who were still alive at the end of the study period. For every five-point increase in HRQOL score, overall survival improved by 5-9%. The strongest associations were observed for vitality (HR = 0.91, 95% CI 0.86, 0.97, p = 0.0021) and physical functioning (HR = 0.92, 95% CI 0.87, 0.97, p = 0.0010). ADL impairments were generally not predictive of survival, though depressive symptoms were significantly associated with increased hazard of death from all causes (HR = 1.34, 95% CI 1.00, 1.79, p = 0.0466). CONCLUSION: HRQOL measured before diagnosis with endometrial cancer has prognostic value. Having measures of HRQOL available at diagnosis may facilitate timely supportive care to improve survival.

Changes in health-related quality of life in older women after diagnosis with gynecologic cancer.

PURPOSE: The impact of gynecologic cancer on health-related quality of life (HRQOL) is not fully understood. To our knowledge, this is the first longitudinal study to measure HRQOL changes from before to after gynecologic cancer diagnosis in older women. METHODS: Data were obtained from the Surveillance, Epidemiology, and End Results - Medicare Health Outcomes Survey database. Women aged 65 and older who were diagnosed with cervical, ovarian, or uterine cancer between baseline and follow-up surveys (n = 248; mean time from diagnosis = 12.54 ± 7.11 months) were propensity-matched to cancer-free controls (n = 1240). Logistic regression was used to assess risk of functional impairments and depressive symptoms at follow-up. Changes in HRQOL, as measured by the Medical Outcomes Study Short Form-36 and Veterans RAND 12-Item Survey, were estimated with mixed effects linear models. RESULTS: Women who were within 12 months of diagnosis and women diagnosed with regional/distant disease had significantly greater odds than controls of impairment at follow-up. HRQOL declines were greatest in those with advanced disease, with the most notable changes from baseline to follow-up observed for role limitations due to emotional problems (-8.60 vs. -3.42 in controls), general health (-7.76 vs 0.10), and physical functioning (-7.70 vs. -1.67). There were significant decreases in physical functioning and role limitations due to emotional problems for all cancer patients regardless of time since diagnosis. CONCLUSIONS: Gynecologic cancer has significant impacts on physical and mental aspects of HRQOL in older women. Interventions are needed to reduce pain, provide support, and prepare patients for changes in functioning and health.

Depressive symptoms and health-related quality of life in older women with gynecologic Cancers.

OBJECTIVES: This study aims to assess factors associated with depressive symptoms in older women with gynecologic cancers and to examine the association of depression with health-related quality of life (HRQOL). MATERIALS AND METHODS: Women aged 65 and older previously diagnosed with cervical, ovarian, or uterine cancer (n=1977) were identified from the Surveillance, Epidemiology, and End Results - Medicare Health Outcomes Survey database and compared to propensity-matched cancer-free controls (n=9885). Women with and without depressive symptoms were compared by cancer status. Logistic regression was used to identify factors associated with depressive symptoms, and linear regression was used to determine the association of depressive symptoms with HRQOL measures. RESULTS: The prevalence of depressive symptoms was higher among older women with gynecologic cancer (31.9%, 32.2%, and 25.3% for cervical, ovarian, and uterine cancer, respectively) than cancer-free older women (24.9%) (p=0.05). Adjusting for demographic and clinical factors, older women with ovarian cancer were significantly more likely to have depressive symptoms than controls (Prevalence Odds Ratio = 1.74, 95% CI: 1.31, 2.32, p < 0.01). Among older women with gynecologic cancer, comorbid conditions and functional limitations were strongly associated with depressive symptoms. Women with depressive symptoms showed significant decrements in both physical and mental measures of HRQOL. CONCLUSION: This study gives insight into correlates of depressive symptoms that may be used to better identify women with gynecologic cancers who are at risk of depression. The relatively high prevalence of depressive symptoms and significant deficits in HRQOL underscore the need for effective screening and treatment of depression in older women with gynecologic cancers.

Trends in short-term survival from distant-stage cutaneous melanoma in the United States, 2001-2013 (CONCORD-3).

BACKGROUND: Survival from metastatic cutaneous melanoma is substantially lower than for localized disease. Treatments for metastatic melanoma have been limited, but remarkable clinical improvements have been reported in clinical trials in the last decade. We described the characteristics of US patients diagnosed with cutaneous melanoma during 2001-2013 and assessed trends in short-term survival for distant-stage disease. METHODS: Trends in 1-year net survival were estimated using the Pohar Perme estimator, controlling for background mortality with life tables of all-cause mortality rates by county of residence, single year of age, sex, and race for each year 2001-2013. We fitted a flexible parametric survival model on the log-hazard scale to estimate the effect of race on the hazard of death because of melanoma and estimated 1-year net survival by race. RESULTS: Only 4.4% of the 425 915 melanomas were diagnosed at a distant stage, cases diagnosed at a distant stage are more commonly men, older patients, and African Americans. Age-standardized, 1-year net survival for distant-stage disease was stable at approximately 43% during 2001-2010. From 2010 onward, survival improved rapidly, reaching 58.9% (95% confidence interval = 56.6% to 61.2%) for patients diagnosed in 2013. Younger patients experienced the largest improvement. Survival for distant-stage disease increased in both Blacks and Whites but was consistently lower in Blacks. CONCLUSIONS: One-year survival for distant-stage melanoma improved during 2001-2013, particularly in younger patients and those diagnosed since 2010. This improvement may be a consequence of the introduction of immune-checkpoint-inhibitors and other targeted treatments for metastatic and unresectable disease. Persistent survival inequalities exist between Blacks and Whites, suggesting differential access to treatment.

A Population-Based Study of Incidence and Survival of 1588 Thymic Malignancies: Results From the California Cancer Registry.

BACKGROUND: Thymic malignancies are rare and there are limited contemporary population-based epidemiological studies for this uncommon cancer. PATIENTS AND METHODS: Adults aged 20 years and older diagnosed with thymic malignancies between 1988 and 2015 were identified from the California Cancer Registry (n = 1588). Trends in age-adjusted incidence rates were examined overall and according to race/ethnicity, and the proportion diagnosed according to stage was evaluated over time. Cox proportional hazards regression was used to estimate hazard ratios (HRs) for overall survival (OS), and Fine and Gray competing risks regression for cause-specific survival (CSS). RESULTS: Age-adjusted incidence increased on average 2.08% per year over the study period (95% confidence interval [CI], 1.30%-2.86%; P < .0001), with an incidence of 0.277 cases per 100,000 in 2015. Incidence was highest among Asian/Pacific Islander and non-Hispanic black individuals. The proportion of unknown stage at diagnosis declined as localized diagnoses increased over time. Compared with patients with thymoma, those with thymic carcinoma had significantly worse OS (HR, 1.63; 95% CI, 1.33-2.01; P < .0001) and CSS (subdistribution HR, 2.99; 95% CI, 2.29-3.91; P < .0001). Advanced stage at diagnosis was also associated with worse survival. Surgical intervention was associated with better prognosis for patients with localized (HR, 0.08; 95% CI, 0.02-0.30; P = .0002) or regional disease (HR, 0.14; 95% CI, 0.06-0.34; P < .0001). CONCLUSION: Thymic malignancy incidence is increasing in California. There was incidence variation across race/ethnicity, which warrants future study. These findings provide contemporary insight into the incidence and prognostic factors of thymic malignancies.

Racial/ethnic differences in survival among gastric cancer patients in california.

BACKGROUND: Gastric cancer is an important cause of death among racial/ethnic minorities in the U.S. The objective of this study was to investigate racial disparities in survival among gastric cancer patients within demographic and disease subgroups. METHODS: Patients diagnosed with invasive epithelial gastric cancer between 2006 and 2015 were identified from the California Cancer Registry. Cox proportional hazards regression was used to identify factors associated with survival among non-Hispanic whites (NHWs, n = 7,475), non-Hispanic blacks (NHBs, n = 1,246), Hispanics (n = 6,274), and Asians/Pacific Islanders (APIs, n = 4,204). Survival was compared across race/ethnicity within subgroups of demographic and disease factors. Five-year relative survival was also calculated within subgroups. RESULTS: There were notable differences in patient characteristics by race/ethnicity, but predictors of survival were similar for each group. Overall, APIs (HR = 0.83, 95% CI: 0.79, 0.88, p < 0.0001) and Hispanics (HR = 0.94, 95% CI: 0.90, 0.99, p = 0.0104) had better survival than NHWs, but NHBs and NHWs did not have different prognosis (HR = 1.06, 95% CI: 0.98, 1.15, p = 0.2237). The survival advantage of APIs persisted in nearly every demographic and disease subgroup, but Hispanics and NHBs had similar survival as NHWs in most groups. Race was not a significant predictor of survival among those with public or no insurance and patients with cardia tumors. CONCLUSIONS: There are some differences in survival by race/ethnicity, but race/ethnicity alone cannot explain disparate outcomes in gastric cancer. Future studies, particularly ones that investigate the role of population-specific etiological factors and molecular tumor profiles, are needed to further understand factors associated with survival.

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.

Increased clinical trial enrollment among adolescent and young adult cancer patients between 2006 and 2012-2013 in the United States.

BACKGROUND: Stagnant outcomes for adolescents and young adults (AYAs) 15-39 years of age with cancer are partly attributed to poor enrollment onto clinical trials. Initiatives have focused on increasing accrual, but changes at the population-level are unknown. We examined patterns of clinical trial participation over time in AYA patients with cancer. PROCEDURE: We utilized medical record data from AYAs in two population-based National Cancer Institute Patterns of Care Studies identified through the Surveillance, Epidemiology and End Results Program. Among 3135 AYAs diagnosed with non-Hodgkin lymphoma (NHL), Hodgkin lymphoma, acute lymphoblastic leukemia (ALL), and sarcoma, we used multivariate logistic regression to evaluate patient and provider characteristics associated with clinical trial enrollment. Interaction terms evaluated variation in clinical trial enrollment across patient and provider characteristics by year of diagnosis. RESULTS: From 2006 to 2012-2013, clinical trial participation increased from 14.8% to 17.9% (P < 0.01). Adjusting for patient and provider characteristics, we found lower clinical trial enrollment among those who were older at diagnosis, diagnosed with NHL vs ALL, treated by adult hematologist/oncologists only (vs pediatric hematologist/oncologists), and of non-Hispanic Black race/ethnicity (vs non-Hispanic White) (P < 0.05 for all). Interaction analyses indicate improved clinical trial enrollment from 2006 to 2012-2013 among young adults 25-29 years of age and the uninsured. CONCLUSIONS: Although disparities in enrollment onto clinical trials remain for AYAs with cancer, our study identified increasing overall clinical trial participation over time. Further, we identify promising trends in enrollment uptake among AYAs 25-29 years of age and the uninsured.

First-Line Systemic Treatments for Stage IV Non-Small Cell Lung Cancer in California: Patterns of Care and Outcomes in a Real-World Setting.

BACKGROUND: Multiple systemic treatments have been developed for stage IV non-small cell lung cancer (NSCLC), but their use and effect on outcomes at the population level are unknown. This study describes the utilization of first-line systemic treatments among stage IV NSCLC patients in California and compares survival among treatment groups. METHODS: Data on 17 254 patients diagnosed with stage IV NSCLC from 2012 to 2014 were obtained from the California Cancer Registry. Systemic treatments were classified into six groups. The Kaplan-Meier method and multivariable Cox proportional hazards models were used to compare survival between treatment groups. RESULTS: Fifty-one percent of patients were known to have received systemic treatment. For patients with nonsquamous histology, pemetrexed regimens were the most common treatment (14.8%) followed by tyrosine kinase inhibitors (11.9%) and platinum doublets (11.5%). Few patients received pemetrexed/bevacizumab combinations (4.5%), bevacizumab combinations (3.6%), or single agents (1.7%). There was statistically significantly better overall survival for those on pemetrexed regimens (hazard ratio [HR] = 0.86, 95% confidence interval [CI] = 0.80 to 0.92), bevacizumab regimens (HR = 0.73, 95% CI = 0.65 to 0.81), pemetrexed/bevacizumab regimens (HR = 0.68, 95% CI = 0.61 to 0.76), or tyrosine kinase inhibitors (HR = 0.62, 95% CI = 0.57 to 0.67) compared with platinum doublets. The odds of receiving most systemic treatments decreased with decreasing socioeconomic status. For patients with squamous histology, platinum doublets were predominant (33.7%) and were not found to have statistically significantly different overall survival from single agents. CONCLUSIONS: These population-level findings indicate low utilization of systemic treatments, survival differences between treatment groups, and evident treatment disparities by socioeconomic status.