Older-Patient-Specific Cancer Trials: A Pooled Analysis of 2,277 Patients (A151715)

Racial Disparities in Receipt of Guideline-Concordant Care in Older Adults With Early Breast Cancer

Importance

Racial disparities in receipt of guideline-concordant care (GCC) among older patients with potentially curable breast cancer are understudied.

Objective

To determine whether rates of GCC, time to treatment initiation, and all-cause mortality in stage I to III breast cancer differ by race among older adults.

Design, Setting, and Participants

This cohort study used data from the National Cancer Database and included patients aged 65 years and older with stage I to III breast cancer, diagnosed between 2010 and 2019. Data analysis was conducted between July 2022 to July 2023.

Exposures

Race, defined as non-Hispanic Black or non-Hispanic White.

Main Outcomes and Measures

The primary outcome was nonreceipt of GCC, defined using the National Comprehensive Cancer Network guidelines, and all-cause mortality. The secondary outcome was time to treatment initiation. Univariate and multivariate regression analysis were used to determine association between exposure and outcomes. Models for GCC and all-cause mortality included age, stage, receptor status, year of diagnosis, Charlson-Deyo comorbidity index, insurance, health care setting, and neighborhood-level educational attainment and median income.

Results

The analytic cohort included 258 531 participants (mean [SD] age, 72.5 [6.0] years), with 25 174 participants who identified as non-Hispanic Black (9.7%) and 233 357 participants who identified as non-Hispanic White (90.3%), diagnosed between 2010 and 2017. A total of 4563 non-Hispanic Black participants (18.1%) and 35 374 non-Hispanic White participants (15.2%) did not receive GCC. Non-Hispanic Black race, compared with non-Hispanic White race, was associated with increased odds of not receiving GCC in the multivariate analysis (adjusted odds ratio [aOR], 1.13; 95% CI, 1.08-1.17; P < .001). Non-Hispanic Black race was associated with 26.1% increased risk of all-cause mortality in the univariate analysis, which decreased to 4.7%, after adjusting for GCC and clinical and sociodemographic factors (adjusted hazard ratio, 1.05; 95% CI, 1.01-1.08; P = .006). Non-Hispanic White race, compared with non-Hispanic Black race, was associated with increased odds of initiating treatment within 30 (OR, 1.65; 95% CI, 1.6-1.69), 60 (OR, 2.11; 95% CI, 2.04-2.18), and 90 (OR, 2.39; 95% CI, 2.27-2.51) days of diagnosis.

Conclusions and Relevance

In this cohort study, non-Hispanic Black race was associated with increased odds of not receiving GCC and less timely treatment initiation. Non-Hispanic Black race was associated with increased all-cause mortality, which was reduced after adjusting for GCC and clinical and sociodemographic factors. These findings suggest that optimizing timely receipt of GCC may represent a modifiable pathway to improving inferior survival outcomes among older non-Hispanic Black patients with breast cancer.

Geriatric Radiation Oncology: What We Know and What Can We Do Better?

Elderly patients represent a growing subgroup of cancer patients for whom the role of radiation therapy is poorly defined. Older patients are still clearly underrepresented in clinical trials, resulting in very limited high-level evidence. Moreover, elderly patients are less likely to receive radiation therapy in similar clinical scenarios compared to younger patients. However, there is no clear evidence for a generally reduced radiation tolerance with increasing age. Modern radiation techniques have clearly reduced acute and late side effects, thus extending the boundaries of the possible regarding treatment intensity in elderly or frail patients. Hypofractionated regimens have further decreased the socioeconomic burden of radiation treatments by reducing the overall treatment time. The current review aims at summarizing the existing data for the use of radiation therapy or chemoradiation in elderly patients focusing on the main cancer types. It provides an overview of treatment tolerability and outcomes with current standard radiation therapy regimens, including possible predictive factors in the elderly population. Strategies for patient selection for standard or tailored radiation therapy approaches based on age, performance score or comorbidity, including the use of prediction tests or geriatric assessments, are discussed. Current and future possibilities for improvements of routine care and creation of high-level evidence in elderly patients receiving radiation therapy are highlighted.

Trial Design Considerations to Increase Older Adult Accrual to National Cancer Institute Clinical Trials

Although adults aged 65 years or older make up a strong majority of cancer patients, their underrepresentation in cancer clinical trials leads to the lack of representative data to guide evidence-based therapeutic decisions in this patient population. The Trial Design Working Group, convened as part of the workshop titled, Engaging Older Adults in the National Cancer Institute Clinical Trials Network: Challenges and Opportunities, recommended study designs and design elements that could improve accrual of older adults in National Cancer Institute-funded clinical trials. These include trials that are specifically designed to enroll older adults, trials that include a cohort of older patients (parallel cohort, stratified cohort, or embedded cohort), and trials with pragmatic design elements to facilitate enrollment of older adults. This manuscript provides brief descriptions of the recommended designs, examples of successful trials, and considerations for implementation of these designs. As with any clinical trial, the scientific questions and trial objectives should drive the study design, the selection of endpoints and intervention, and eligibility criteria. When designing trials that include older adults, the heterogeneity of fitness levels is an important consideration as fitness can influence accrual rates and outcomes. Appropriately incorporating geriatric assessments can help identify the optimal subset of older patients for inclusion and minimize selection bias. Incorporating pragmatic design elements to reduce the burden on trial participants as well as on accruing sites and retaining essential elements to ensure that the main goal of the trial can be accomplished can enhance enrollment without compromising the integrity of trials.