Socioeconomic Deprivation and Health Care Use in Patients Enrolled in SWOG Cancer Clinical Trials.

Importance: Reducing acute care use is an important strategy for improving value. Patients with cancer are at risk for unplanned emergency department (ED) visits and hospital stays (HS). Clinical trial patients have homogeneous treatment; despite this, structural barriers to care may independently impact acute care use. Objective: To examine whether ED visits and HS within 12 months of trial enrollment are more common among Medicare enrollees who live in areas of socioeconomic deprivation or have Medicaid insurance. Design, Setting, and Participants: This cohort study included patients with cancer who were 65 years or older and treated in SWOG Cancer Research Network trials from 1999 to 2018 using data linked to Medicare claims. Data were collected from 1999 to 2019 and analyzed from 2022 to 2024. Main Outcomes and Measures: Outcomes were ED visits, HS, and costs in the first year following enrollment. Neighborhood socioeconomic deprivation was measured using patients' zip code linked to the Area Deprivation Index (ADI), measured on a 0 to 100 scale for increasing deprivation and categorized into tertiles (T1 to T3). Type of insurance was classified as Medicare with or without commercial insurance vs dual Medicare and Medicaid. Demographic, clinical, and prognostic factors were captured from trial records. Multivariable regression was used, and the association of ADI and insurance with each outcome was considered separately. Results: In total, 3027 trial participants were analyzed. The median (range) age was 71 (65-98) years, 1280 (32.3%) were female, 221 (7.3%) were Black patients, 2717 (89.8%) were White patients, 90 (3.0%) had Medicare and Medicaid insurance, and 660 (22.3%) were in the areas of highest deprivation (ADI-T3). In all, 1094 patients (36.1%) had an ED visit and 983 patients (32.4%) had an HS. In multivariable generalized estimating equation, patients living in areas categorized as ADI-T3 were more likely to have an ED visit (OR, 1.34; 95% CI, 1.10-1.62; P = .004). A similar but nonsignificant pattern was observed for HS (OR, 1.36; 95% CI, 0.96-1.93; P = .08). Patients from areas with the highest deprivation had a 62% increase in risk of either an ED visit or HS (OR, 1.62; 95% CI, 1.25-2.09; P < .001). Patients with Medicare and Medicaid were 96% more likely to have an ED visit (OR, 1.96; 95% CI, 1.56-2.46; P < .001). Conclusions and Relevance: In this cohort of older patients enrolled in clinical trials, neighborhood deprivation and economic disadvantage were associated with an increase in ED visits and HS. Efforts are needed to ensure adequate resources to prevent unplanned use of acute care in socioeconomically vulnerable populations.

Genome-wide association study of prostate-specific antigen levels in 392,522 men identifies new loci and improves cross-ancestry prediction.

We conducted a multi-ancestry genome-wide association study of prostate-specific antigen (PSA) levels in 296,754 men (211,342 European ancestry; 58,236 African ancestry; 23,546 Hispanic/Latino; 3,630 Asian ancestry; 96.5% of participants were from the Million Veteran Program). We identified 318 independent genome-wide significant (p≤5e-8) variants, 184 of which were novel. Most demonstrated evidence of replication in an independent cohort (n=95,768). Meta-analyzing discovery and replication (n=392,522) identified 447 variants, of which a further 111 were novel. Out-of-sample variance in PSA explained by our new polygenic risk score reached 16.9% (95% CI=16.1%-17.8%) in European ancestry, 9.5% (95% CI=7.0%-12.2%) in African ancestry, 18.6% (95% CI=15.8%-21.4%) in Hispanic/Latino, and 15.3% (95% CI=12.7%-18.1%) in Asian ancestry, and lower for higher age. Our study highlights how including proportionally more participants from underrepresented populations improves genetic prediction of PSA levels, with potential to personalize prostate cancer screening.

Genetically adjusted PSA levels for prostate cancer screening.

Prostate-specific antigen (PSA) screening for prostate cancer remains controversial because it increases overdiagnosis and overtreatment of clinically insignificant tumors. Accounting for genetic determinants of constitutive, non-cancer-related PSA variation has potential to improve screening utility. In this study, we discovered 128 genome-wide significant associations (P < 5 × 10-8) in a multi-ancestry meta-analysis of 95,768 men and developed a PSA polygenic score (PGSPSA) that explains 9.61% of constitutive PSA variation. We found that, in men of European ancestry, using PGS-adjusted PSA would avoid up to 31% of negative prostate biopsies but also result in 12% fewer biopsies in patients with prostate cancer, mostly with Gleason score <7 tumors. Genetically adjusted PSA was more predictive of aggressive prostate cancer (odds ratio (OR) = 3.44, P = 6.2 × 10-14, area under the curve (AUC) = 0.755) than unadjusted PSA (OR = 3.31, P = 1.1 × 10-12, AUC = 0.738) in 106 cases and 23,667 controls. Compared to a prostate cancer PGS alone (AUC = 0.712), including genetically adjusted PSA improved detection of aggressive disease (AUC = 0.786, P = 7.2 × 10-4). Our findings highlight the potential utility of incorporating PGS for personalized biomarkers in prostate cancer screening.

Risk prediction of hepatitis B or C or HIV among newly diagnosed cancer patients.

BACKGROUND: Screening for viral infection in cancer patients is inconsistent. A mechanism to readily identify cancer patients at increased risk of existing or prior viral infection could enhance screening efforts while reducing costs. METHODS: We identified factors associated with increased risk of past or chronic hepatitis virus B, hepatitis virus C, or HIV infection before initiation of systemic cancer therapy. Data were from a multicenter prospective cohort study of 3051 patients with newly diagnosed cancer (SWOG-S1204) enrolled between 2013 and 2017. Patients completed a survey with questions pertaining to personal history and behavioral, socioeconomic, and demographic risk factors for viral hepatitis or HIV. We derived a risk model to predict the presence of viral infection in a random set of 60% of participants using best subset selection. The derived model was validated in the remaining 40% of participants. Logistic regression was used. RESULTS: A model with 7 risk factors was identified, and a risk score with 4 levels was constructed. In the validation cohort, each increase in risk level was associated with a nearly threefold increased risk of viral positivity (odds ratio = 2.85, 95% confidence interval = 2.26 to 3.60, P < .001). Consistent findings were observed for individual viruses. Participants in the highest risk group (with >3 risk factors), comprised of 13.4% of participants, were 18 times more likely to be viral positive compared with participants with no risk factors (odds ratio = 18.18, 95% confidence interval = 8.00 to 41.3, P < .001). CONCLUSIONS: A risk-stratified screening approach using a limited set of questions could serve as an effective strategy to streamline screening for individuals at increased risk of viral infection.

Racial and Ethnic Disparity in Preference-Weighted Quality of Life: Findings from the Selenium and Vitamin E Cancer Prevention Trial.

Differences in preference-weighted health-related quality of life (HRQOL) scores by race/ethnicity may be due to social factors. Here, Short-Form Six-Dimension (SF-6D) scores are analyzed among men in a prostate cancer prevention trial to explore such differences. Selenium and vitamin E cancer prevention trial participants who completed the SF-6D at baseline, and in at least 1 of follow-up years 1, 3, and 5 were included. This study compared mean SF-6D scores across race/ethnicity at each point using a linear mixed model controlling for demographic and clinical characteristics. At baseline, 9691 men were eligible for analysis, of whom 7556 (78%) were non-Hispanic White, 1592 (16.4%) were non-Hispanic Black, and 543 (5.6%) were Hispanic. Hispanic and White participants had higher unadjusted mean SF-6D scores than Black participants at every time point (P < 0.05), while white participants had lower mean scores than Hispanic participants at every time point after baseline (P < 0.05). After adjusting for covariates, statistically significant differences in HRQOL among the 3 groups persisted. Hispanic participants had higher preference scores than White participants by 0.073 (P < 0.001), 0.075 (P < 0.001), and 0.040 (P < 0.001) in follow-up years 1, 3, and 5, respectively. Black participants had lower scores than White participants by 0.009 (P = 0.004) and 0.008 (P = 0.02) in follow-up years 1 and 3, respectively. The results suggest there is a preference-weighted HRQOL difference by race/ethnicity that cannot be explained by social and clinical variables alone. Understanding how individuals belonging to different racial/ethnic categories view their own HRQOL is necessary for culturally competent care and cost-effectiveness analyses.

Trends in Obesity Prevalence Among Patients Enrolled in Clinical Trials for Obesity-Related Cancers, 1986 to 2016.

Importance: Obesity rates have risen in the United States since the 1980s. Several studies have shown links between obesity and the incidence of specific cancer types, but none have systematically examined obesity prevalence at the time of cancer diagnosis, or among clinical trial participants, all of which may affect clinical outcomes. Objective: To examine the prevalence of obesity and, separately, overweight and obesity over 30 years among patients with cancer enrolled in clinical treatment trials for obesity-related cancers; and to compare trends with corresponding trends in the US. Design, Setting, and Participants: This cohort study examined clinical treatment trials for obesity-related cancers conducted by the SWOG Cancer Research Network at community and academic sites. Participants included adult patients enrolled in phase 2 or phase 3 clinical treatment trials in obesity-related cancers between 1986 and 2016. Statistical analysis was performed from June 2020 to July 2022. Exposures: Year of enrollment to a clinical trial. Main Outcomes and Measures: Prevalence of obesity (body mass index [BMI] ≥ 30) and overweight or obesity (BMI > 25) at the time of clinical trial enrollment. Multivariable logistic regression analysis, adjusted for demographic and clinical factors, was used to analyze patient height and weight collected at clinical trial enrollment. Results: Among 23 926 patients (median [IQR] age, 58 [51-66] years; 17 594 [73.5%] female; 969 [4.0%] Hispanic, 2173 [9.1%] non-Hispanic Black, 19 890 [83.1%] non-Hispanic White) enrolled between 1986 and 2016, unadjusted obesity rates increased from 23.5% (in 1986 to 1990 [n = 657]) to 42.3% (in 2011 to 2016 [n = 836]). There was an increasing linear trend in obesity (odds ratio [OR], 1.23 for each 5-year increase; 95% CI, 1.21-1.26; P < .001), which persisted after covariate adjustment for demographic and clinical characteristics. Findings were consistent for the combined prevalence of overweight and obesity. The observed overall increasing trend in obesity prevalence from 1999-2000 to 2015-2016 was greater in trial patients (21.3% [SE = 0.7] to 49.1% [SE = 1.6]) than in US adults (30.5% [SE = 1.5] to 39.6% [SE = 1.6]) (P for trend = .03), but was similar to US cancer survivors (18.9% [SE = 1.9] to 42.2% [SE = 2.1]; P for trend = .31). Conclusions and Relevance: This cohort study found that patients with cancer and obesity are currently well-represented in cancer clinical trials, increasing confidence that trial findings are generalizable to patients with obesity in clinical practice. Availability of data on height and weight at diagnosis through cancer registries will enable a more rigorous analysis of obesity prevalence among patients with cancer.

Differential Biopsy Patterns Influence Associations between Multivitamin Use and Prostate Cancer Risk in the Selenium and Vitamin E Cancer Prevention Trial.

BACKGROUND: Multivitamin (MVI) use is a common health behavior but there is conflicting evidence from prospective studies about whether this behavior increases or decreases prostate cancer risk. METHODS: Associations of MVI use and prostate cancer risk were evaluated using data from the Selenium and Vitamin E Cancer Prevention Trial (SELECT). Cox proportional hazards models estimated associations of MVI use with risk of total, low-, and high-grade prostate cancer. Longitudinal data were used to evaluate screening and biopsy patterns. To account for differential biopsy patterns, the probability of prostate cancer was estimated for men with a positive screening value but no biopsy. Incidence density ratios were used to approximate HRs, and associations of MVI use with predicted prostate cancer risk were compared with observed. RESULTS: Analyses of data from observed biopsies suggest a respective 19% (95% confidence interval, 10%-28%) and 21% (12%-31%) higher risk of high-grade prostate cancer for current and long-term MVI use, compared with no use. Current and long-term MVI use was associated with a shorter time to first on-study biopsy, indicating the potential for detection bias. After accounting for differential acceptance of biopsy, associations of MVI use with prostate cancer were attenuated and not statistically significant. CONCLUSIONS: In SELECT, biopsy acceptance patterns differed by MVI use. Estimates of associations of MVI use with prostate cancer risk based on observed biopsy data may be biased by differential acceptance of biopsy. IMPACT: Differential biopsy ascertainment may impact associations of risk factors and prostate cancer. Detailed screening and biopsy data can be used to analytically minimize such bias.

Serum markers, obesity and prostate cancer risk: results from the prostate cancer prevention trial.

Molecular mechanisms linking obesity to prostate cancer involve steroid hormone and insulin/insulin-like growth factor 1 (IGF1) pathways. We investigated the association of circulating serum markers (e.g. androgens and IGFs/IGFBPs) with BMI and in modifying the association of obesity with prostate cancer risk. Data and specimens for this nested case-control study are from the Prostate Cancer Prevention Trial, a randomized, placebo-controlled trial of finasteride for prostate cancer prevention. Presence or absence of cancer was determined by prostate biopsy. Serum samples were assayed for sex steroid hormone concentrations and IGF1 axis analytes. Logistic regression estimated odds ratio and 95% CIs for risk of overall, low-grade (Gleason 2-6), and high-grade (Gleason 7-10) cancers. We found significant associations between BMI with serum steroids and IGFs/IGFBPs; the IGF1 axis was significantly associated with several serum steroids. Serum steroid levels did not affect the association of BMI with prostate cancer risk; however, IGFBP2 and IGFs modified the association of obesity with low- and high-grade disease. While serum steroids and IGFs/IGFBPs are associated with BMI, only the IGF1 axis contributed to obesity-related prostate cancer risk. Understanding the biological mechanisms linking obesity to prostate cancer risk as it relates to circulating serum markers will aid in developing effective prostate cancer prevention strategies and treatments.

Predictors of Pain Reduction in Trials of Interventions for Aromatase Inhibitor-Associated Musculoskeletal Symptoms.

Background: Almost one-half of aromatase inhibitor (AI)-treated breast cancer patients experience AI-associated musculoskeletal symptoms (AIMSS); 20%-30% discontinue treatment because of severe symptoms. We hypothesized that we could identify predictors of pain reduction in AIMSS intervention trials by combining data from previously conducted trials. Methods: We pooled patient-level data from 3 randomized trials testing interventions (omega-3 fatty acids, acupuncture, and duloxetine) for AIMSS that had similar eligibility criteria and the same patient-reported outcome measures. Only patients with a baseline Brief Pain Inventory average pain score of at least 4 of 10 were included. The primary outcome examined was 2-point reduction in average pain from baseline to week 12. Variable cut-point selection and logistic regression were used. Risk models were built by summing the number of factors statistically significantly associated with pain reduction. Analyses were stratified by study and adjusted for treatment arm. Results: For the 583 analyzed patients, the 4 factors statistically significantly associated with pain reduction were Functional Assessment of Cancer Therapy Functional Well-Being greater than 24 and Physical Well-Being greater than 14 (higher scores reflect better function), and Western Ontario and McMaster Universities Osteoarthritis Index less than 50 and Modified Score for the Assessment and Quantification of Chronic Rheumatoid Affections of the Hands less than 33 (lower scores reflect less pain). Patients with all 4 factors were greater than 6 times more likely to experience at least a 2-point pain reduction (odds ratio = 6.37, 95% confidence interval = 2.31 to 17.53, 2-sided P < .001); similar results were found for secondary 30% and 50% pain reduction endpoints. Conclusions: Patients with AIMSS who have lower symptom and functional distress at study entry on AIMSS intervention trials are more likely to experience meaningful pain reduction. Baseline symptom and functional status should be considered as stratification factors in future interventional trials.

Associations Between Polymorphisms in Genes Related to Oxidative Stress and DNA Repair, Interactions With Serum Antioxidants, and Prostate Cancer Risk: Results From the Prostate Cancer Prevention Trial.

Study of polymorphisms in genes related to the generation and removal of oxidative stress and repair of oxidative DNA damage will lead to new insights into the genetic basis of prostate cancer. In the Prostate Cancer Prevention Trial (PCPT), a double-blind, randomized controlled trial testing finasteride versus placebo for prostate cancer prevention, we intend to investigate the role of oxidative stress/DNA repair mechanisms in prostate cancer etiology and whether these polymorphisms modify prostate cancer risk by interacting with antioxidant status in both placebo and finasteride arms. We evaluated associations of selected candidate polymorphisms in genes in these pathways, and interactions with pre-diagnostic serum antioxidants, and the risk of prostate cancer among 1,598 cases and 1,706 frequency-matched controls enrolled in the PCPT. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using multivariable-adjusted logistic regression models. While there were no statistically significant associations observed in the placebo arm, several SNPs were associated with prostate cancer in the finasteride arm. Specifically, APEX1-rs1760944 was associated with increased risk of total prostate cancer (per minor allele: p-trend=0.04). OGG1-rs1052133 was positively (CG/GG vs. CC: OR=1.32, 95% CI: 1.01-1.73) and NOS3-rs1799983 was inversely (per minor allele: p-trend=0.04) associated with risk of low-grade prostate cancer. LIG3-rs1052536 and XRCC1-rs25489 were suggestively associated with reduced risk of high-grade prostate cancer (per minor allele: both p-trend=0.04). In the placebo arm, significant associations were observed among men with higher serum lycopene for APEX1-rs1760944 and NQO1-rs1800566, or higher serum ß-cryptoxanthin for ERCC4-rs1800067. In the finasteride arm, stronger associations were observed among men with lower serum lycopene for NOS3-rs1799983, higher serum α-carotene, ß-carotene, and ß-cryptoxanthin for LIG3-rs1052536, or lower serum retinol for SOD2-rs1799725. These results suggest that germline variations in oxidative stress and DNA repair pathways may contribute to prostate carcinogenesis and that these associations may differ by intraprostatic sex steroid hormone status and be further modified by antioxidant status. Findings provide insights into the complex role of gene, gene-antioxidant and -finasteride interactions in prostate cancer etiology, and thus may lead to the development of preventative strategies.

"When Offered to Participate": A Systematic Review and Meta-Analysis of Patient Agreement to Participate in Cancer Clinical Trials.

BACKGROUND: Patient participation in clinical trials is vital for knowledge advancement and outcomes improvement. Few adult cancer patients participate in trials. Although patient.decision-making about trial participation has been frequently examined, the participation rate for patients actually offered a trial is unknown. METHODS: A systematic review and meta-analysis using 3 major search engines was undertaken. We identified studies from January 1, 2000, to January 1, 2020, that examined clinical trial participation in the United States. Studies must have specified the numbers of patients offered a trial and the number enrolled. A random effects model of proportions was used. All statistical tests were 2-sided. RESULTS: We identified 35 studies (30 about treatment trials and 5 about cancer control trials) among which 9759 patients were offered trial participation. Overall, 55.0% (95% confidence interval [CI] = 49.4% to 60.5%) of patients agreed to enroll. Participation rates did not differ between treatment (55.0%, 95% CI = 48.9% to 60.9%) and cancer control trials (55.3%, 95% CI = 38.9% to 71.1%; P = .98). Black patients participated at similar rates (58.4%, 95% CI = 46.8% to 69.7%) compared with White patients (55.1%, 95% CI = 44.3% to 65.6%; P = .88). The main reasons for nonparticipation were treatment choice or lack of interest. CONCLUSIONS: More than half of all cancer patients offered a clinical trial do participate. These findings upend several conventional beliefs about cancer clinical trial participation, including that Black patients are less likely to agree to participate and that patient decision-making is the primary barrier to participation. Policies and interventions to improve clinical trial participation should focus more on modifiable systemic structural and clinical barriers, such as improving access to available trials and broadening eligibility criteria.

Healthcare utilization and cost of care in elderly breast cancer patients enrolled in SWOG clinical trials.

IMPORTANCE: Patients with cancer are at risk for unplanned hospitalizations during treatment which can increase the cost of care. OBJECTIVES: To determine demographic and clinical factors associated with healthcare utilization and costs among clinical trial participants. DESIGN, SETTING, AND PATIENTS: We conducted a retrospective analysis among breast cancer patients over the age of 65 treated on SWOG clinical trials from 1999 to 2011 with trial data linked to Medicare claims. MAIN OUTCOMES AND MEASURES: The outcomes were healthcare utilization (emergency room visits (ER), hospitalizations) and costs from Medicare Claims. Demographic, clinical, and prognostic factors were captured from clinical trial records. We identified cardiovascular comorbidities/risk factors (CVD-RFs) of diabetes, hypertension, hypercholesterolemia, and coronary artery disease (CAD) from Medicare claims. Multivariable logistic and linear regression were used to assess the association between CVD-RFs and outcomes. RESULTS: Among the 708 patients included in the analysis, 160 (22.6%) experienced 234 separate hospitalizations, and 193 (27.3%) experienced 311 separate ER visits. Black race was associated with an increase in hospitalizations (OR [95% CI], 2.52 [1.10-5.79], p = 0.03), but not emergency room visits compared to white race. Diabetes, hypertension, hypercholesterolemia, and CAD were all independently associated with increased risk of both hospitalizations and ER visit. Hypertension had the strongest association, with more than a threefold risk of hospitalization for those with hypertension compared to those without (OR [95% CI], 3.16 [1.85-5.40], p < 0.001). For those with ≥ 3 RFs, the risk of hospitalization was nearly 3 times greater compared to 0 or 1 CVD-RFs (OR [95% CI], 2.74 [1.71-4.38], p < 0.001). Similar results were seen for ER visits. In the first 12 months after trial registration, patients with diabetes ($38,324 vs $30,923, 23.9% increase, p = 0.05), hypercholesterolemia ($34,168 vs $30,661, 11.4% increase, p = 0.02), and CAD ($37,781 vs $31,698, 19.2% increase, p = 0.04) had statistically significantly higher total healthcare costs. Additionally, those with ≥ 2 significant CVD-RFs ($35,353 vs. $28,899, 22.3% increase, p = 0.005) had statistically significantly higher total healthcare costs. CONCLUSIONS: Among participants treated on clinical trials, black race and presence of multiple cardiovascular comorbidities was associated with a substantial increase in ER visits, hospitalizations and healthcare costs. Efforts to reduce unplanned hospitalizations should focus on this high-risk group.

Vitamin D Pathway and Other Related Polymorphisms and Risk of Prostate Cancer: Results from the Prostate Cancer Prevention Trial.

Vitamin D may influence prostate cancer risk, but evidence is inconsistent. We conducted a nested case-control study in the Prostate Cancer Prevention Trial (PCPT). Cases (n = 1,128) and controls (n = 1,205) were frequency matched on age, first-degree relative with prostate cancer, and PCPT treatment arm (finasteride/placebo); African-Americans were oversampled and case/control status was biopsy confirmed. We selected 21 SNPs in vitamin D-related genes (VDR, GC, C10orf88, CYP2R1, CYP24A1, CYP27B1, DHCR7, and NADSYN1) to test genotype and genotype-treatment interactions in relation to prostate cancer. We also tested mean serum 25(OH)D differences by minor allele distributions and tested for serum 25(OH)D-genotype interactions in relation to prostate cancer risk. Log-additive genetic models (Bonferroni-corrected within genes) adjusted for age, body mass index, PSA, and family history of prostate cancer revealed a significant interaction between treatment arm and GC/rs222016 (finasteride OR = 1.37, placebo OR = 0.85; P interaction < 0.05), GC/rs222014 (finasteride OR = 1.36, placebo OR = 0.85; P interaction < 0.05), and CYP27B1/rs703842 (finasteride OR = 0.76, placebo OR = 1.10; P interaction < 0.05) among Caucasians, and C10orf88/rs6599638 (finasteride OR = 4.68, placebo OR = 1.39; P interaction < 0.05) among African-Americans. VDR/rs1544410 and CYP27B1/rs703842 had significant treatment interactions for high-grade disease among Caucasians (finasteride OR = 0.81, placebo OR = 1.40; P interaction < 0.05 and finasteride OR = 0.70, placebo OR = 1.28; P interaction < 0.05, respectively). Vitamin D-related SNPs influenced serum 25(OH)D, but gene-serum 25(OH)D effect modification for prostate cancer was marginally observed only for CYP24A1/rs2248359. In conclusion, evidence that vitamin D-related genes or gene-serum 25(OH)D associations influence prostate cancer risk is modest. We found some evidence for gene-finasteride interaction effects for prostate cancer in Caucasians and African-Americans. Results suggest only minimal associations of vitamin D with total or high-grade prostate cancer.

Variations in prostate biopsy recommendation and acceptance confound evaluation of risk factors for prostate cancer: Examining race and BMI.

BACKGROUND: Prostate cancer is ubiquitous in older men; differential screening patterns and variations in biopsy recommendations and acceptance will affect which man is diagnosed and, therefore, evaluation of cancer risk factors. We describe a statistical method to reduce prostate cancer detection bias among African American (n = 3398) and Non-Hispanic White men (n = 22,673) who participated in the Selenium and Vitamin E Cancer Prevention trial (SELECT) and revisit a previously reported association between race, obesity and prostate cancer risk. METHODS: For men with screening values suggesting prostate cancer but in whom biopsy was not performed, the Prostate Cancer Prevention Trial Risk Calculator was used to estimate probability of prostate cancer. Associations of body mass index (BMI) and race with incident prostate cancer were compared for observed versus imputation-enhanced outcomes using incident density ratios. RESULTS: Accounting for differential biopsy assessment, the previously reported positive linear trend between BMI and prostate cancer in African American men was not observed; no BMI association was found among Non-Hispanic White men. CONCLUSIONS: Differential disease classification among men who may be recommended to undergo and then consider whether to accept a prostate biopsy leads to inaccurate identification of prostate cancer risk factors. Imputing a man's prostate cancer status reduces detection bias. Covariate adjustment does not address the problem of outcome misclassification. Cohorts evaluating incident prostate cancer should collect longitudinal screening and biopsy data to adjust for this potential bias.

Osteoporosis in colorectal cancer survivors: analysis of the linkage between SWOG trial enrollees and Medicare claims.

To explore the rates of osteoporosis (diagnosis and screening) and fractures in colorectal cancer survivors (CRCS), records of clinical trial enrollees was linked to Medicare. Female/male risk of fracture in CRCS is 74% higher than general population. Less than 30% of male and female CRCS receive osteoporosis screening. Osteoporosis is a significant morbidity in CRCS. INTRODUCTION: In the USA, the population of colorectal cancer survivors (CRCS) is on the rise. Calcium and vitamin D are the common thread between colorectal cancer and osteoporosis. We set to explore the patterns and prevalence of osteoporosis (OP) and osteoporotic fractures (OF) in CRCS who received fluorouracil-based therapy on SWOG trials. METHODS: Data for CRCS from three SWOG phase III treatment trials between 1994 and 2000 (N = 3775) were linked to Medicare claims (N = 1233). OP was identified using ICD9 and HCPCS codes; OF was defined using a more restricted set of codes. We compared patterns of OP, OF, and screening for OP by gender in CRCS. Given the gender disparities in the rates of OP and OF, we used data from the National Health Interview Survey (NHIS) and the National Hospital Discharge Survey (NHDS) to assess the ratio of OF in females and males in general population. RESULTS: Forty-seven percent of females and 15% of men CRCS had OP claims. Female CRCS were more likely than males to have OP (HR = 4.76 [3.77-6.01], p < 0.0001) and OF (HR = 2.64 [2.04-3.42], p < 0.0001). In the general population, the female to male ratio of OF was 1.67 as opposed to 2.90 in CRCS, indicating a significantly larger gender disparity of OF in CRCS (p < 0.001). Only 7% of men and 27% of women CRCS had OP screening. CONCLUSION: Despite a low rate of OP screening, the gender disparity of OF in CRCS is more pronounced than the general population. These findings provide an impetus for studying OP and OF in CRCS.

Association between body mass index and response to duloxetine for aromatase inhibitor-associated musculoskeletal symptoms in SWOG S1202.

BACKGROUND: Aromatase inhibitor (AI)-associated musculoskeletal symptoms (AIMSS) negatively impact adherence to and persistence with therapy. In SWOG S1202, patients with AIMSS who were treated with duloxetine, a serotonin norepinephrine reuptake inhibitor, reported improvement in pain by 12 weeks compared with placebo. Based on the authors' prior observation that responses to pain interventions differ between obese and nonobese patients, the current study examined whether response to duloxetine therapy differed by obesity status. METHODS: In SWOG S1202, a total of 299 AI-treated postmenopausal women with stage I to III (AJCC 7th Edition) breast cancer who developed new or worsening average pain were enrolled, randomized to duloxetine or placebo, and treated for 12 weeks. Patient-reported outcomes were obtained at baseline and through 12 weeks. Patients were categorized into nonobese (body mass index [BMI] <30 kg/m2 ) or obese (BMI ≥30 kg/m2 ). The authors tested the interaction between intervention and obesity with respect to average pain at 12 weeks in the 289 eligible patients, using a P value of .05 to indicate statistical significance. RESULTS: In approximately 54% of evaluable patients with a BMI ≥30 kg/m2 , the reduction in the mean average pain score between baseline and 12 weeks was statistically significantly greater for patients treated with duloxetine compared with those receiving placebo (-2.73 vs -1.64 points; P = .003). Conversely, in the nonobese patients, the reduction in the mean average pain score was similar in the 2 cohorts (-2.46 vs -2.34 points; P = .75). The P value for interaction was .02, thereby meeting the threshold criteria of the current study. Similar findings were evident for other pain-related patient-reported outcomes. CONCLUSIONS: In this trial, obese patients with AIMSS obtained more analgesic benefit from duloxetine compared with nonobese patients. Additional studies are warranted to determine the biologic basis for these findings.

Omega-3 fatty acid use for obese breast cancer patients with aromatase inhibitor-related arthralgia (SWOG S0927).

PURPOSE: Although aromatase inhibitors (AIs) prolong survival in post-menopausal breast cancer (BC) patients, AI-associated arthralgia can lead to discontinuation. Obese patients have higher rates of AI arthralgia than non-obese patients, but treatment options are limited. Omega-3 fatty acid (O3-FA) treatment for AI arthralgia has produced mixed results. METHODS: We performed an exploratory analysis of SWOG S0927, a multicenter randomized placebo-controlled trial of O3-FA use for AI arthralgia. Post-menopausal women with stage I-III BC taking an AI were randomized to 24 weeks of O3-FAs or placebo. Brief Pain Inventory (BPI) questionnaires and fasting serum were collected at baseline, 12, and 24 weeks. The BPI assessment included worst pain, average pain, and pain interference scores (range 0-10). RESULTS: Among the 249 participants, 139 had BMI < 30 kg/m2 (56%) and 110 had BMI ≥ 30 kg/m2 (44%). Among obese patients, O3-FA use was associated with significantly lower BPI worst pain scores at 24 weeks compared with placebo (4.36 vs. 5.70, p = 0.02), whereas among non-obese patients, there was no significant difference in scores between treatment arms (5.27 vs. 4.58, p = 0.28; interaction p = 0.05). Similarly, O3-FA use was associated with lower BPI average pain and pain interference scores at 24 weeks compared with placebo among obese patients, but no significant difference between treatment arms in non-obese patients (interaction p = 0.005 and p = 0.01, respectively). CONCLUSIONS: In obese BC patients, O3-FA use was associated with significantly reduced AI arthralgia compared to placebo.

Using Medicare Claims to Examine Long-term Prostate Cancer Risk of Finasteride in the Prostate Cancer Prevention Trial.

Background: Investigators have used administrative claims to better understand cancer outcomes when a research question cannot feasibly be examined within a study. The Prostate Cancer Prevention Trial (PCPT) showed that seven years of finasteride reduced prostate cancer (PC) risk by 25% in men age 55 years or older. However, it was unclear whether the observed reduction in PC for finasteride participants would be maintained after finasteride discontinuation. Methods: We examined PC diagnoses identified by PCPT study records and Medicare claims (finasteride = 9423, placebo = 9457). A Medicare-defined PC diagnosis algorithm was defined using diagnosis and procedure codes. Multivariable Cox regression was used to examine time to PC within prespecified follow-up windows (<6.5, 6.5-7.5, and >7.5 years) using time-dependent covariates interacting with intervention assignment to account for the PCPT protocol-specified end-of-study biopsy at seven years. All statistical tests were two-sided. Results: Median follow-up using the linked database was 16 years. Overall, finasteride arm participants had a 21.1% decrease in the hazard ratio of PC (hazard ratio [HR] = 0.79, 95% confidence interval [CI] = 0.74 to 0.84, P < .001). The beneficial effect of finasteride in reducing the hazard ratio of PC was most pronounced in the first 7.5 years (HR = 0.71, 95% CI = 0.66 to 0.77, P < .001), consistent with the original study findings; after 7.5 years, there was no increased risk of PC for finasteride arm participants (HR = 1.10, 95% CI = 0.96 to 1.26, P = .18). Conclusions: Finasteride provides a substantial reduction in PC through 16 years of follow-up. There was no strong evidence that the benefit of finasteride diminished after the end-of-study follow-up. Utilizing Medicare claims to augment PCPT follow-up illustrates how the novel use of secondary data sources can enhance the ability to detect long-term outcomes from prospective studies.

Association of Cardiovascular Risk Factors With Cardiac Events and Survival Outcomes Among Patients With Breast Cancer Enrolled in SWOG Clinical Trials.

Background Cardiovascular disease is the primary cause of death among patients with breast cancer. However, the association of cardiovascular-disease risk factors (CVD-RFs) with long-term survival and cardiac events is not well studied. Methods We examined SWOG (formerly the Southwest Oncology Group) breast cancer trials from 1999 to 2011. We identified baseline diabetes, hypertension, hypercholesterolemia, and coronary artery disease by linking trial records to Medicare claims. The primary outcome was overall survival. Patients with both baseline and follow-up claims were examined for cardiac events. Cox regression was used to assess the association between CVD-RFs and outcomes. Results We identified 1,460 participants older than 66 years of age from five trials; 842 were eligible for survival outcomes analysis. At baseline, median age was 70 years, and median follow-up was 6 years. Hypertension (73%) and hypercholesterolemia (57%) were the most prevalent conditions; 87% of patients had one or more CVD-RF. There was no association between any of the individual CVD-RFs and overall survival except for hypercholesterolemia, which was associated with improved overall survival (hazard ratio [HR], 0.73; 95% CI, 0.57 to 0.93; P = .01). With each additional CVD-RF, there was an increased risk of death (HR, 1.23; 95% CI, 1.08 to 1.40; P = .002), worse progression-free survival (HR, 1.12; 95% CI, 1.00 to 1.25; P = .05), and marginally worse cancer-free survival (HR, 1.15; 95% CI, 0.99 to 1.34; P = .07). The relationship between baseline CVD-RFs and cardiac events was analyzed in 736 patients. A strong linear association between the number of CVD-RFs and cardiac event was observed (HR per CVD-RF, 1.41; 95% CI, 1.17 to 1.69; P < .001). Conclusion Among participants in clinical trials, each additional baseline CVD-RF was associated with an increased risk of cardiac events and death. Efforts to improve control of modifiable CVD-RFs are needed, especially among those with multiple risk factors.