Enrollment disparities in cancer clinical trials leading to FDA approvals between 2008 and 2020.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18501-e18501
Author(s):  
Ryan Huu-Tuan Nguyen ◽  
Yomaira Silva ◽  
Vijayakrishna K. Gadi

e18501 Background: Cancer clinical trials based in the United States (US) have lacked adequate representation of racial and ethnic minorities, the elderly, and women. Pivotal clinical trials leading to United States Food and Drug Administration (FDA) approval are often multi-national trials and may also lack generalizability to underrepresented populations in the United States. We determined the racial, ethnic, age, and sex enrollment in pivotal trials relative to the US cancer population. Methods: We reviewed the FDA’s Drug Approvals and Databases for novel and new use drug approvals for breast, colorectal, lung, and prostate cancer indications from 2008 through 2020. Drugs@FDA was searched for drug approval summaries and FDA labels to identify clinical trials used to justify clinical efficacy that led to FDA approval. For eligible trials, enrollment data were obtained from FDA approval summaries, FDA labels, ClinicalTrials.gov, and corresponding journal manuscripts. Enrollment Fraction (EF) was calculated as enrollment in identified clinical trials divided by 2017 SEER cancer prevalence. All data sources were publicly available. Results: From 2008 through 2020, 60 drugs received novel or new use drug approval for breast, colorectal, lung, or prostate cancer indications based on 66 clinical trials with a total enrollment of 36,830. North America accounted for 9,259 (31%) enrollees of the 73% of trials reporting location of enrollment. Racial demographics were reported in 78% of manuscripts, 66% of ClinicalTrials.gov pages, and 98% of FDA labels or approval summaries. Compared with a 0.4% enrollment fraction among White patients, lower enrollment fractions were noted in Hispanic (0.2%, odds ratio [OR] vs White, 0.46; 95% confidence interval [CI], 0.43 to 0.49, P< 0.001) and Black (0.1%, OR 0.29; 95% CI 0.28 to 0.31, P< 0.001) patients. Elderly patients (age ≥ 65 years) were less likely than younger patients to be enrollees (EF 0.3% vs 0.9%, OR 0.27; 95% CI 0.26 to 0.27, P< 0.001) despite accounting for 61.3% of cancer prevalence. For colorectal and lung cancer trials, females were less likely than males (EF 0.7% vs 1.1%, OR 0.66; 95% CI 0.63 to 0.68, P< 0.001) to be enrolled. Conclusions: Black, Hispanic, elderly, and female patients were less likely to enroll in cancer clinical trials leading to FDA approvals from 2008 to 2020. Race and geographic enrollment data were inconsistently reported in journal manuscripts and ClinicalTrials.gov. The lack of appropriate representation of specific patient populations in these key clinical trials limits their generalizability. Future efforts must be made to ensure equitable access, representation, and reporting of enrollees that adequately represent the US population of patients with cancer.

2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 59-59 ◽  
Author(s):  
Matt D. Galsky ◽  
Asma Latif ◽  
Kristian D. Stensland ◽  
Erin L. Moshier ◽  
Russell McBride ◽  
...  

59 Background: An extremely small proportion of patients with cancer in the United States (US) enroll in clinical trials. While several barriers to trial accrual have been described, the geographic distribution and accessibility of clinical trial sites has not been comprehensively explored. Methods: ClinicalTrials.gov was queried to identify all active US clinical trials exploring first-line therapies for metastatic prostate cancer (PCa) on 9/16/2012. We evaluated the geographic distribution of trial sites and determined the relationship between the number of sites and the number of patients with advanced PCa per county and evaluated heterogeneity using Lorenz curves. We also estimated the minimum driving distance required to access a clinical trial site from each ZIP code in the continguous US; a distance >30 miles was defined as high travel burden consistent with prior studies. Results: We identified 958 sites associated with 42 PCa clinical trials (Table). The geographic distribution of clinical trial sites was very inhomogeneous with several states having only 1-2 trial sites. Among 3185 US counties, 2,669 (83.8%) had no clinical trials available for first-line treatment of metastatic PCa. Counties with larger populations of patients with advanced PCa had significantly higher numbers of clinical trial sites. For every 100 additional patients with advanced PCa per county, the number of available trial sites increased by 21.0% (95% CI: 16.5-25.7%). However, Lorenz curves indicated a high degree of inequality in trial accessibility (Gini index 0.71). Approximately 31% of the US population resided >30 miles from a PCa trial site. Conclusions: Clinical trials sites are poorly accessible, geographically, to a large subset of US PCa patients, a finding that likely contributes to dismal accrual. Innovative solutions are required to address geographic barriers to access. [Table: see text]


2016 ◽  
Vol 34 (7_suppl) ◽  
pp. 273-273
Author(s):  
Scott C Flanders ◽  
Eleanor Fitall ◽  
Dayo Jagun ◽  
Kristi Mitchell ◽  
Peter St. John Francis ◽  
...  

273 Background: Prostate cancer (PCa) is the leading cancer for men in the United States (US) and identified by the Centers for Medicare & Medicaid Services (CMS) as one of the top 20 high-impact Medicare conditions experienced by beneficiaries. Thus, there is increasing focus by stakeholders to measure and achieve high-value, quality care in PCa. However, quality measurement is particularly difficult in oncology. Our aim was to assess the current landscape of PCa quality measures (QMs) in the US. Methods: Published literature and online resources from the past 5 years were reviewed to identify PCa QMs and general oncology QMs relevant to PCa. PCa QMs were categorized using a “continuum of care” framework across 5 stages: 1) symptom assessment and screening; 2) diagnosis and risk stratification; 3) initial treatment; 4) monitoring and additional treatment; and 5) advanced- or late-stage care. Finally, PCa QMs were evaluated for their type (eg. process, outcomes), and use by CMS. Results: We identified 16 PCa-specific QMs and 20 general oncology QMs relevant to PCa. The majority of PCa QMs were developed by the American Medical Association–Physician Consortium for Performance Improvements (6 measures) and the Michigan Urological Surgery Improvement Collaborative (6 measures). There are 3 QMs for symptom assessment and screening, 5 QMs for diagnosis and risk stratification, 6 QMs for initial treatment, 2 QMs for monitoring and additional treatment, and 0 QMs for advanced- or late-stage care. Fourteen PCa QMs focus on process of care, but only 2 PCa QMs address outcomes. Nine PCa QMs are part of CMS quality improvement programs, 6 of which are reportable through the Michigan Urological Surgery Improvement Collaborative. Three new PCa QMs are under consideration by CMS. Conclusions: We found few PCa QMs that capture outcomes of patient experience or care, and no PCa-specific QMs available for advanced disease and late-stage care, demonstrating a need to better define quality in this setting. Opportunities to increase the focus on innovative, real-world data-generation strategies, such as PCa disease registries that collect clinical outcomes, patient preferences, and comorbidities, may inform stakeholder development and adoption of new QMs in the US.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4861-4861
Author(s):  
Sikander Ailawadhi ◽  
Sri Lekha Bodepudi ◽  
Zan Tahir Shareef ◽  
Fabiola Coromoto Cardozo ◽  
Salman Ahmed ◽  
...  

Abstract Background: Clinical trials are fundamental to advance therapeutics systematically and improve patient outcomes. Despite this, enrollment on clinical trials remains dismal in the United States (US) and is a constant focus of healthcare policy. We studied distribution of clinical trials for B-cell malignancies over time across the US and unique clinical trial opportunities i.e. individual clinical trials for the given diagnosis at a site that patients may have access to participate. Methods: We abstracted data from clinicaltrials.gov for all trials that had non-Hodgkin lymphoma (NHL) or multiple myeloma (MM) as an inclusion indication between 1999-2018. Clinical trial characteristics and distribution over US geographical divisions (West, Midwest, Northeast, and South) were studied, and differences were assessed by Chi-square test. Results: A total of 1930 trials were identified (NHL: 982, MM: 948), of which 483 were recruiting at the time of data abstraction (NHL: 250, MM: 233). Over the past 2 decades, 182691 patients were enrolled on the various trials (NHL: 81592, MM: 101099). Trials by phase of study included phase 1: 629, phase 1/2: 316, phase 2: 813, phase 2/3: 11 and phase 3: 161. Number of trials by phase separated by NHL and MM are shown in Figure 1. Of these, 197 trials were randomized (NHL: 67, MM: 130). Geographical distribution of trials by diagnosis type is shown in Figure 2. A total of 31806 unique trial opportunities were noted for MM and NHL, of which 9,513 were international and 22,293 were in the US, with a geographical distribution of 5080 in West, 8198 in Midwest, 3944 in Northeast, and 5071 in South. 4,883 of the unique trial opportunities were available at NCI/NCCN accredited sites and 17,410 were at non-NCI/NCCN sites in the US. Treatment characteristics of the trials included monoclonal antibodies in 1218, other targeted agents in 2641, stem cell transplant in 526, and other agents in 517 trials with several trials utilizing more than one of these therapeutic options. There was no statistically significant difference in the distribution of clinical trials by phase of study across various US geographical regions for MM (p=0.71), NHL (p=0.98) or combined MM+NHL (p=0.16). On the other hand, unique trial opportunities were significantly different by study phase and geographical distribution for MM, NHL or MM+NHL (all p<0.001) (Figure 3). Conclusions: Widespread access to clinical trials within a cancer diagnosis is imperative for generalizability of trial results. In a comprehensive, national analysis we noted that while it may appear that clinical trials are available across the US, sites where they are open are distributed unevenly, giving rise to a disparity in access to evidence-based therapeutic advancements for patients. Disclosures Ailawadhi: Janssen: Consultancy; Amgen: Consultancy; Pharmacyclics: Research Funding; Takeda: Consultancy; Celgene: Consultancy. Sher:Affimed: Research Funding.


Author(s):  
Hossein Dehghani ◽  
Shihao Zhang ◽  
Pankaj Kulkarni ◽  
Pradipta Biswas ◽  
Leslie Simms ◽  
...  

Prostate cancer is the third leading cause of cancer-related death for males in the United States [1]. Over three million Americans with prostate cancer were reported in 2016 [2] marking the prostate cancer as the most prevalent cancer among males in the US. In 2016, 180,890 new cases and 26,120 deaths were reported [1]. The prostate is a male reproductive gland located in the pelvis and surrounded by the rectum posteriorly and the bladder superiorly.


2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 49-49
Author(s):  
Andrea Leith ◽  
Amanda Ribbands ◽  
Matthew Last ◽  
Alicia Gayle ◽  
Sarah Payne ◽  
...  

49 Background: In May 2020, Olaparib was approved for HRRm mCRPC post progression on abiraterone and enzalutamide, and rucaparib was approved for BRCAm mCPRC following progression on androgen receptor targeted inhibitors and prior taxane therapy for mCRPC. HRRm are associated with approximately 25% of mCRPC and may be derived from germline or somatic origin. Somatic and germline alterations can be detected by tumour testing, but to differentiate between these, independent germline testing is needed. This study examined real-world genomic/genetic testing (GT) patterns in patients (pts) diagnosed with mCRPC in the United States (US). Methods: Data were drawn from the Adelphi Prostate Cancer Disease Specific Programme; a point-in-time survey administered to oncologists (onc), urologists (uro) and surgeons (sur) between January and August 2020 in the US. Physicians (phys) completed an attitudinal survey and a patient record form for the next four to nine mCRPC pts seen. Study variables included patient demographics, clinical factors and GT patterns. HRRm testers were defined as phys who tested for HRRm. Pts were identified as positive, negative or unknown depending on the outcome of the HRRm test. Results: A total of 72 phys (69% onc/ 29% uro/ 1% sur; 40% academic vs. 60% community) reported on 346 mCRPC pts. 41% of phys were based in the Northeast, 24% Midwest, 23% South and 13% in the West region of the US. 65 phys (90%) reported having access to overall GT; of these 5% identified as having access to germline tests only, while 94% were able to test for germline and somatic mutations. Challenges to conducting GT overall were ‘cost per test’ (50%), ‘having to send out for the tests (within country)’ (25%), ‘inadequate sample available’ (25%) and ‘patient refusal’ (25%). GT was typically conducted at identification of castrate-resistance (52%), metastases (51%) and at initial diagnosis (49%). 72% of total phys were HRRm testers; for these, patient characteristics primarily driving HRRm testing included Ashkenazi Jewish heritage (63%) and ECOG of 2-4 (58%). Other common drivers were family history, young diagnosis age and hormone therapy failure (all 46%). 132 (38% of 326) mCRPC pts were tested for HRRm; 39% of tested pts were identified with a HRRm. Most common HRRm tested were BRCA1 (90%), BRCA2 (89%) and ATM (55%). Conclusions: In this study majority of US phys had access to GT, but testing was only performed in 38% of pts with mCRPC. The higher than expected % of pts identified with an HRRm suggest that molecular testing was prioritised in high risk populations, as identified by the phys. With the recent approval of olaparib and rucaparib, GT may become more routine in clinical practice to identify eligible pts. Broader testing may also depend on addressing other barriers to testing including cost and testing logistics/practicalities.


1997 ◽  
Vol 123 (8) ◽  
pp. 461-466
Author(s):  
Robert B. Livingston ◽  
Ryosuke Tsuchiya ◽  
Masanori Fukushima ◽  
Charles A. Coltman Jr.

Cancer ◽  
2008 ◽  
Vol 112 (3) ◽  
pp. 447-454 ◽  
Author(s):  
Gerardo Colon-Otero ◽  
Robert C. Smallridge ◽  
Lawrence A. Solberg ◽  
Thomas D. Keith ◽  
Timothy A. Woodward ◽  
...  

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