Validation of a Population-Based Data Source to Examine National Cancer Clinical Trial Participation

Population-Based Data Linkage Describing Patterns of Cancer Clinical Trial Enrollment Among Children and Adolescents

PURPOSE

Database linkage between cancer registries and clinical trial consortia has the potential to elucidate referral patterns of children and adolescents with newly diagnosed cancer, including enrollment into cancer clinical trials. This study's primary objective was to assess the feasibility of this linkage approach.

METHODS

Patients younger than 20 years diagnosed with incident cancer during 2012-2017 in the Kentucky Cancer Registry (KCR) were linked with patients enrolled in a Children's Oncology Group (COG) study. Matched patients between databases were described by sex, age, race and ethnicity, geographical location when diagnosed, and cancer type. Logistic regression modeling identified factors associated with COG study enrollment. Timeliness of patient identification by KCR was reported through the Centers for Disease Control and Prevention's Early Case Capture (ECC) program.

RESULTS

Of 1,357 patients reported to KCR, 47% were determined by matching to be enrolled in a COG study. Patients had greater odds of enrollment if they were age 0-4 years (v 15-19 years), reported from a COG-affiliated institution, and had renal cancer, neuroblastoma, or leukemia. Patients had lower odds of enrollment if Hispanic (v non-Hispanic White) or had epithelial (eg, thyroid, melanoma) cancer. Most (59%) patients were reported to KCR within 10 days of pathologic diagnosis.

CONCLUSION

Linkage of clinical trial data with cancer registries is a feasible approach for tracking patient referral and clinical trial enrollment patterns. Adolescents had lower enrollment compared with younger age groups, independent of cancer type. Population-based early case capture could guide interventions designed to increase cancer clinical trial enrollment.

Exclusion of pregnant and lactating persons from breast cancer clinical trials: a review of active trials registered on ClinicalTrials.gov

INTRODUCTION

Treatment of pregnancy-associated breast cancer is complex, as providers try to balance risks to the pregnant person and the developing fetus. Given increased case fatality and increasing incidence, there is a pressing need understand the efficacy and safety of different treatment regimens in this population; however, pregnant and lactating people have traditionally been excluded from participating in randomized controlled trials (RCTs). Given recent efforts to expand the inclusion criteria for oncology RCTs, this study aimed to review the inclusion/exclusion criteria of current breast cancer RCTs to assess what proportion of trials permitted enrollment of pregnant and lactating persons.

MATERIAL AND METHODS

We conducted a comprehensive search of ClinicalTrials.gov in January 2022 to identify interventional studies of breast cancer in adults that were actively recruiting. The primary outcomes were the exclusion of pregnant and lactating people.

RESULTS

The search identified 1706 studies, of which 1451 met eligibility criteria. Overall, 69.4% and 54.8% of studies excluded pregnant and lactating people, respectively. The exclusion of pregnant and lactating persons differed by study characteristics but extended across all trial designs, locations, phases and interventions. Exclusion of pregnant and lactating persons was most common in trials where the intervention was biological (86.3%), drug (83.5%) or radiation (81.5%).

CONCLUSIONS

The exclusion of pregnant and lactating people from clinical trials contributes to evidence gaps in how to treat this population. A paradigm shift is needed that focuses on how research can be used to protect pregnant people from future harms, instead of protecting pregnant people from research-related risks.

Development and validation of a nomogram to predict overall survival for cervical adenocarcinoma: A population-based study

This study aimed to develop and validate a nomogram for predicting the overall survival of cervical adenocarcinoma (CAC) patients using a large database comprising patients with different ethnicities. We enrolled primary CAC cases with complete clinicopathological and survival data from the Surveillance, Epidemiology, and End Results program during 2004 to 2015. For training set samples, this work applied the Cox regression model to obtain factors independently associated with patient prognosis, which could be incorporated in constructing the nomogram. Altogether 3096 qualified cases were enrolled, their survival ranged from 0 to 155 (median, 45.5) months. As revealed by multivariate regression, age, marital status, tumor size, grade, International Federation of Gynecology and Obstetrics (FIGO) classification, pelvic lymph node metastasis, surgery, and chemotherapy served as the factors to independently predict CAC (all P < .05). We later incorporated these factors for constructing the nomogram. According to the concordance index determined, this nomogram had superior discrimination over FIGO classification system (all P < .001). Based on calibration plot, the predicted value was consistent with actual measurement. As revealed by time-independent area under the curves, our constructed nomogram had superior 5-year overall survival over FIGO system. Additionally, according to decision curve analysis, our constructed nomogram showed high clinical usefulness as well as favorable discrimination. Our constructed nomogram attains favorable performances, indicating that it may be applied in predicting survival for CAC patients.

Clinical Trial Participation Among Older Adult Medicare Fee-for-Service Beneficiaries With Cancer

Importance

Clinical trials play a critical role in the development of novel cancer therapies, and precise estimates of the frequency with which older adult patients with cancer participate in clinical trials are lacking.

Objective

To estimate the proportion of older adult Medicare Fee-for-Service (FFS) beneficiaries with cancer who participate in interventional cancer clinical trials, using a novel population-based methodology.

Design, Setting, and Participants

In this retrospective cohort study evaluating clinical trial participation among older adult patients with cancer from January 1, 2014, through June 30, 2020, claims data from Medicare FFS were linked with the ClinicalTrials.gov to determine trial participation through the unique National Clinical Trial (NCT) identifier. The proportion of patients with newly diagnosed or newly recurrent cancer in 2015 participating in an interventional clinical trial and receiving active cancer treatment from January 2014 to June 2020 was estimated. Data analysis was performed from November 18, 2020, to November 1, 2021.

Exposures

Patients with cancer aged 65 years or older with Medicare FFS insurance, with and without active cancer treatment.

Main Outcomes and Measures

Enrollment in clinical trials among all patients with cancer 65 years and older and among patients receiving active cancer treatments as defined by the presence of at least 1 NCT identifier corresponding to an interventional cancer clinical trial in Medicare claims.

Results

Among 1 150 978 patients (mean [SD] age, 75.7 [8.4] years; 49.9% men and 50.1% women) with newly diagnosed or newly recurrent cancer in 2015, 12 028 (1.0%) patients had a billing claim with an NCT identifier indicating enrollment in an interventional cancer clinical trial between January 2014 and June 2020. In a subset of 429 343 patients with active cancer treatment, 8360 (1.9%) were enrolled in 1 or more interventional trials. Patients enrolled in a trial tended to be younger, male, a race other than Black, and residing in zip codes with high median incomes.

Conclusions and Relevance

Findings of this cohort study show that clinical trial enrollment among older adult patients with cancer remains low, with only 1.0% to 1.9% of patients with newly diagnosed or recurrent cancer in 2015 participating in an interventional cancer clinical trial as measured by the presence of NCT identifiers in Medicare claims. These data provide a contemporary estimate of trial enrollment, persistent disparities in trial participation, and only limited progress in trial access over the past 2 decades.