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ImportanceProstate cancer (PCa) is marked by disparities in clinical outcomes by race, ethnicity, and age. Equitable enrollment in clinical trials is fundamental to promoting health equity.ObjectiveTo evaluate disparities in the inclusion of racial and ethnic minority groups and older adults across PCa clinical trials.Data SourcesMEDLINE, Embase, and ClinicalTrials.gov were searched to identify primary trial reports from each database's inception through February 2021. Global incidence in age subgroups and US population-based incidence in racial and ethnic subgroups were acquired from the Global Burden of Disease and Surveillance, Epidemiology, and End Results 21 incidence databases respectively.Study SelectionAll phase 2/3 randomized PCa clinical trials were eligible for age disparity analyses. Trials recruiting exclusively from the US were eligible for primary racial and ethnic disparity analyses.Data Extraction and SynthesisThis study was reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines. Data were pooled using a random-effects model.Main Outcomes and MeasuresEnrollment incidence ratios (EIRs), trial proportions (TPs) of participants 65 years or older or members of a racial and ethnic subgroup divided by global incidence in the corresponding age group, or US population–based incidence in the corresponding racial and ethnic subgroup, were calculated. Meta-regression was used to explore associations between trial characteristics and EIRs and trends in EIRs during the past 3 decades.ResultsOf 9552 participants among trials reporting race, 954 (10.8%) were African American/Black, 80 (1.5%) were Asian/Pacific Islander, and 8518 (78.5) were White. Of 65 US trials, 45 (69.2%) reported race and only 9 (13.8%) reported data on all 5 US racial categories. Of 286 global trials, 75 (26.2%) reported the enrollment proportion of older adults. Outcomes by race and age were reported in 2 (3.1%) and 41 (15.0%) trials, respectively. Black (EIR, 0.70; 95% CI, 0.59-0.83) and Hispanic (EIR, 0.70; 95% CI, 0.59-0.83) patients were significantly underrepresented in US trials. There was no disparity in older adult representation (TP, 21 143 [71.1%]; EIR, 1.00; 95% CI, 0.95-1.05). The representation of Black patients was lower in larger trials (meta-regression coefficient, −0.06; 95% CI, −0.10 to −0.02; P = .002).Conclusions and RelevanceThe results of this meta-analysis suggest that Black and Hispanic men are underrepresented in trials compared with their share of PCa incidence. The representation of Black patients has consistently remained low during the past 2 decades.

PURPOSE To describe a newly established international registry recruiting diverse patients with advanced prostate cancer across academic and community practices to address unmet needs in this population. PATIENTS AND METHODS Initiated in 2017, IRONMAN (International Registry for Men with Advanced Prostate Cancer) is a prospective cohort of patients with advanced prostate cancer. The study will enroll 5,000 patients with metastatic hormone-sensitive prostate cancer (mHSPC) or castration-resistant prostate cancer (CRPC), recruited from Australia, the Bahamas, Barbados, Brazil, Canada, Ireland, Jamaica, Kenya, Nigeria, Norway, South Africa, Spain, Sweden, Switzerland, the United Kingdom, and the United States. The study is collecting datatypes to study variation in care and treatment of advanced prostate cancer across countries and across academic, community-based, and government practices with a focus on clinical outcomes, patient-reported outcomes, epidemiologic data, biologic subtypes, and clinician questionnaires. RESULTS Through July 2022, 2,682 eligible patients were enrolled in 11 of 12 active countries. Sixty-six percent of patients have mHSPC, and 34% have CRPC. On the basis of self-report, 11% of patients are Black and 9% are Hispanic. Five Veterans Affairs Medical Centers are enrolling patients. Globally, 23% of patients report being veterans of military service. CONCLUSION To our knowledge, this is the first international cohort of people newly diagnosed with advanced prostate cancer designed to describe variations in patient management, experiences, and outcomes. IRONMAN aims to identify optimal treatment sequences to improve survival, understand patient-reported outcomes, and explore novel biomarkers to understand treatment resistance mechanisms. Insights from IRONMAN will inform and guide future clinical management of people with mHSPC and CRPC. This cohort study will provide real-world evidence to facilitate a better understanding of the survivorship of people with advanced prostate cancer.

In this study, we used whole-exome sequencing of a cohort of 45 advanced-stage, treatment-naïve Nigerian (NG) primary prostate cancer tumors and 11 unmatched nontumor tissues to compare genomic mutations with African American (AA) and European American (EA) The Cancer Genome Atlas (TCGA) prostate cancer. NG samples were collected from six sites in central and southwest Nigeria. After whole-exome sequencing, samples were processed using GATK best practices. BRCA1 (100%), BARD1 (45%), BRCA2 (27%), and PMS2(18%) had germline alterations in at least two NG nontumor samples. Across 111 germline variants, the AA cohort reflected a pattern [BRCA1 (68%), BARD1 (34%), BRCA2 (28%), and PMS2 (16%)] similar to NG samples. Of the most frequently mutated genes, BRCA1 showed a statistically (P ≤ 0.05) higher germline mutation frequency in men of African ancestry (MAA) and increasing variant frequency with increased African ancestry. Disaggregating gene-level mutation frequencies by variants revealed both ancestry-linked and NG-specific germline variant patterns. Driven by rs799917 (T>C), BRCA1 showed an increasing mutation frequency as African ancestry increased. BRCA2_rs11571831 was present only in MAA, and BRCA2_rs766173 was elevated in NG men. A total of 133 somatic variants were present in 26 prostate cancer–associated genes within the NG tumor cohort. BRCA2 (27%), APC (20%), ATM (20%), BRCA1 (13%), DNAJC6 (13%), EGFR (13%), MAD1L1 (13%), MLH1 (11%), and PMS2 (11%) showed mutation frequencies >10%. Compared with TCGA cohorts, NG tumors showed statistically significant elevated frequencies of BRCA2, APC, and BRCA1. The NG cohort variant pattern shared similarities (cosign similarities ≥0.734) with Catalogue of Somatic Mutations in Cancer signatures 5 and 6, and mutated genes showed significant (q < 0.001) gene ontology (GO) and functional enrichment in mismatch repair and non-homologous repair deficiency pathways. Here, we showed that mutations in DNA damage response genes were higher in NG prostate cancer samples and that a portion of those mutations correlate with African ancestry. Moreover, we identified variants of unknown significance that may contribute to population-specific routes of tumorigenesis and treatment. These results present the most comprehensive characterization of the NG prostate cancer exome to date and highlight the need to increase diversity of study populations. Significance: MAA have higher rates of prostate cancer incidence and mortality, however, are severely underrepresented in genomic studies. This is the first study utilizing whole-exome sequencing in NG men to identify West African ancestry-linked variant patterns that impact DNA damage repair pathways.

Patients of African ancestry are not well-represented in cancer clinical trials despite bearing a disproportionate share of mortality both in United States and Africa. We describe key stakeholder perspectives and priorities related to bringing early-stage cancer clinical trials to Africa and outline essential action steps. Increasing Diversity, Market Access, and Capacity in Oncology Registration Trials—Is Africa the Answer? satellite session was organized at 2021 Accelerating Anti-Cancer Agent Development and Validation Workshop. Panelists included representatives of African Organization for Research and Training in Cancer, Uganda Cancer Institute, Uganda Women's Cancer Support Organization, BIO Ventures for Global Health, Bill & Melinda Gates Foundation, the US Food and Drug Administration, Nigeria's National Agency for Food and Drug Administration and Control, Bayer, and Genentech, with moderators from ASCO and American Cancer Society. Key discussion themes and resulting action steps were agreed upon by all participants. Panelists agreed that increasing diversity in cancer clinical trials by including African patients is key to ensuring novel drugs are safe and effective across populations. They underscored the importance of equity in clinical trial access for patients in Africa. Panelists discussed their values related to access and barriers to opening clinical trials in Africa and described innovative solutions from their work aimed at overcoming these obstacles. Multisectoral collaboration efforts that allow leveraging of limited resources and result in sustainable capacity building and mutually beneficial long-term partnerships were discussed as key to outlined action steps. The panel discussion resulted in valuable insights about key stakeholder values and priorities related to bringing early-stage clinical trials to Africa, as well as specific actions for each stakeholder group.

26 Background: The underrepresentation of minority populations in clinical trials negatively impacts cancer and widens inequities. We aimed to quantify the enrollment disparities in prostate cancer (PC) clinical trials over the last three decades. Methods: MEDLINE and Embase were searched to identify primary reports of prostate cancer RCTs (1989-2020). Data for trial characteristics, the proportion of trials reporting race, ethnicity and age, and the proportion of patients by race, ethnicity and age enrolled in trials were summarized using descriptive statistics. Enrollment incidence ratios (EIR), which compare trial enrollment against global estimates of incidence in age-related subgroups (acquired from the Global Burden of Disease database) and U.S. population-based estimates of racial/ethnic subgroups (acquired from the SEER 18 incidence database) were calculated. Individual trial EIRs were pooled using random-effects meta-analyses to account for the substantial heterogeneity between trials. Multivariable meta-regression was used to explore associations between key trial characteristics and EIR. Annual percentage changes (APC) over the last three decades in enrollment disparities were analyzed using the Joinpoint Regression Analysis. Results: 281 trials from 1989 to 2020 with 99,588 patients were included in this analysis. 107 trials reported race (38%), of which only 25 trials (9%) reported data on all 5 U.S. racial categories (Black, White, Asian, Pacific Islander and Native American. 255 (91%) trials reported mean or median but only 71 trials (25%) specifically reported the enrollment proportion of older adults (age > 65 years). Clinical outcomes by race and age were reported in 9 (8%) and 37 (14%) trials, respectively. Results from meta-analyses showed that Black patients (summary EIR: 0.42 [95% CI: 0.35 - 0.51]), Hispanics (summary EIR: 0.50 [95% CI: 0.37 - 0.68]) and older adults (summary EIR: 0.95 [95% CI: 0.91 - 0.99]) were underrepresented in trials relative to their population estimates. Significantly fewer Black participants (EIR for Black patients = 0.42, EIR for White patients = 0.99; p < 0.0001), Hispanic participants (EIR for Hispanics = 0.50, EIR for non-Hispanics = 1.00; p = 0.001) and older adults (EIR for older adults = 0.95, EIR for younger adults = 1.06; p = 0.037) were enrolled. Representation of Black patients decreased significantly from 1989-2019 (APC: -4.25), while Hispanic representation increased significantly from 2000-2020 (APC: 5.89). Meta-regression showed Black patients were particularly underrepresented in larger-size trials (p < 0.0001). Conclusions: Black representation in PC clinical trials is less than 50% of their expected share based on cancer incidence and it has consistently decreased over last three decades, contributing to the disparities experienced by the population.

Abstract Purpose: Smoking rates are higher in rural regions compared to urban regions. Given the mobility within the United States, rural norms around tobacco use may persist even after individuals move to urban areas. Little research is available regarding the difference in smoking history by demographics and rural residence history. The purpose of the study was to examine the influence of age, race, gender, and rural residence history on smoking history. Methods: In a cross-sectional study, we surveyed 1,786 adults using two sampling approaches: representative panels and a community-engaged sample. Participants were asked to complete the Florida Health and Ancestry Study (FHAS) survey through a link or by the phone with a research assistant. The smoking history question asked whether participants had smoked 100 cigarettes in their lifetime (yes/no). The rural residence question asked participants to indicate (yes/no) whether they have lived in a rural or farming community, or on a farm. We examined associations of smoking history with demographic variables using the Chi-square test and logistic regression including as predictors age group (young=18-30, middle age=31-50, old=51+ years), gender, race, and rural living by gender. Results: Participants were mostly White (16% Black, 84% White), female (47% male) and with a mean age around 50 years (mean 47.9±17.5 years, ranged 18 to 91). 36% of the sample reported a history of rural residence, and 51% reported that they had not smoked 100 cigarettes in their lifetime. A larger proportion of males (61%) smoked at least 100 cigarettes compared to females (37%) (p&lt;.001). A significantly larger proportion of White participants (50%) smoked at least 100 cigarettes in their lifetime than Black participants (39%) (p=.001). A larger proportion of participants who had lived in a rural place (53%) had smoked at least 100 cigarettes compared to those who had not lived in a rural place (46%) (p=.005). Difference in mean age for those with or without a history of smoking 100 cigarettes was not statistically significant in this sample (p=.12). Logistic regression analysis revealed that relative to the old age group, the young age group was less likely (p&lt;.001) and the middle age group was more likely (p=.002) to have smoked 100 cigarettes. Males (p&lt;.001) were more likely to have smoked 100 cigarettes than females. Rural residence was associated with smoking among females (p&lt;.001) but not among males (p=.70). Adjusting for other predictors, the association with race was not statistically significant in this sample (p=.06). Conclusion: Findings that the age group 18-30 years is more likely to have avoided becoming smokers is encouraging but must be analyzed more thoroughly relative to possible use of e-cigarettes and other tobacco products. To reduce individuals becoming smokers, we recommend increased cancer control efforts targeted to males in general and to females with a rural residence history. Additional research is planned to examine additional smoking variables and compare them to national data. Citation Format: Tyra Reed, Destiny Gordon, Brenda W. Dyal, Keesha Powell-Roach, Miriam O. Ezenwa, Versie Johnson-Mallard, Janice L. Krieger, Folakemi T. Odedina, Yingwei Yao, Diana J. Wilkie. Demographic factors and rural residence history associated with smoking history [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PO-012.