Disparities and trends in the participation of minorities, women, and the elderly in breast, colorectal, lung, and prostate cancer clinical trials

Impact of Clinical Trial Design on Recruitment of Racial and Ethnic Minorities

Knowledge related to how oncology treatment trial design influences enrollment of racial and ethnic minorities is limited. Rigorous identification of clinical trial design parameters that associate favorably with minority accrual provides educational opportunities for individuals interested in designing more representative treatment trials. We identified oncology trials with a minimum of 10 patients at an NCI-Designated Comprehensive Cancer Center from 2010 to 2021. We defined a study endpoint of racial and ethnic minority accrual greater than zero. Multivariable logistic regression was used to determine whether co-variables predicted our study endpoint. P-values of less than 0.05 were considered significant. A total of 352 cancer trials met eligibility criteria. These studies enrolled a total of 7981 patients with a total of 926 racial and ethnic minorities leading to a median enrollment of 10%. Trials open in community sites (yes versus no) were more likely to have a minority patient (OR, 2.21; 95% CI, 1.02-4.96) as well as pilot/phase I studies compared to phase II/III (OR, 3.19; 95% CI, 1.34-8.26). Trials incorporating immunotherapy (yes versus no) were less likely to have a minority patient (OR, 0.47; 95% CI, 0.23-0.94). Trials open in community sites as well as early phase treatment studies were more likely to accrue minority patients. However, studies including immunotherapy were less likely to accrue racial and ethnic minorities. Knowledge gained from our analysis may help individuals design oncology treatment trials that are representative of more diverse populations.

Broadening Eligibility Criteria and Diversity among Patients for Cancer Clinical Trials

BACKGROUND

Certain populations have been historically underrepresented in clinical trials. Broadening eligibility criteria is one approach to inclusive clinical research and achieving enrollment goals. How broadened trial eligibility criteria affect the diversity of eligible participants is unknown.

METHODS

Using a nationwide electronic health record-derived deidentified database, we identified a retrospective cohort of patients diagnosed with 22 cancer types between April 1, 2013 and December 31, 2022 who received systemic therapy (N=235,234) for cancer. We evaluated strict versus broadened eligibility criteria using performance status and liver, kidney, and hematologic function around first line of therapy. We performed logistic regression to estimate odds ratios for exclusion by strict criteria and their association with measures of patient diversity, including sex, age, race or ethnicity, and area-level socioeconomic status (SES); estimated the impact of broadening criteria on the number and distribution of eligible patients; and performed Cox regression to estimate hazard ratios for real-world overall survival (rwOS) comparing patients meeting strict versus broadened criteria.

RESULTS

When applying common strict cutoffs for eligibility criteria to patients with complete data and weighting each cancer type equally, 48% of patients were eligible for clinical trials. Female (odds ratio, 1.30; 95% confidence interval [CI], 1.25 to 1.35), older (age 75+ vs. 18 to 49 years old: odds ratio, 3.04; 95% CI, 2.85 to 3.24), Latinx (odds ratio, 1.46; 95% CI, 1.39 to 1.54), non-Latinx Black (odds ratio, 1.11; 95% CI, 1.06 to 1.16), and lower-SES patients were more likely to be excluded using strict eligibility criteria. Broadening criteria increased the number of eligible patients by 78%, with the strongest impact for older, female, non-Latinx Black, and lower-SES patients. Patients who met only broadened criteria had worse rwOS versus those with strict criteria (hazard ratio, 1.31; 95% CI, 1.27 to 1.34).

CONCLUSIONS

Data-driven evaluation of clinical trial eligibility criteria may optimize the eligibility of certain historically underrepresented groups and promote access to more inclusive trials. (Sponsored by Flatiron Health.).

Disparities in clinical trial enrollment among patients with gastrointestinal cancer relative to minority-serving and safety-netting hospitals

BACKGROUND

For results to be generalizable to all patients with cancer, clinical trials need to include a diverse patient demographic that is representative of the general population. We sought to characterize the effect of receiving care at a minority-serving hospital (MSH) and/or safety-net hospital on clinical trial enrollment among patients with gastrointestinal (GI) malignancies.

METHODS

Adult patients with GI cancer who underwent oncologic surgery and were enrolled in institutional-/National Cancer Institute-funded clinical trials between 2012 and 2019 were identified in the National Cancer Database. Multivariable regression was used to assess the relationship between MSH and safety-net status relative to clinical trial enrollment.

RESULTS

Among 1,112,594 patients, 994,598 (89.4%) were treated at a non-MSH, whereas 117,996 (10.6%) were treated at an MSH. Only 1857 patients (0.2%) were enrolled in a clinical trial; most patients received care at a non-MSH (1794 [96.6%]). On multivariable analysis, the odds of enrollment in a clinical trial were markedly lower among patients treated at an MSH vs non-MSH (odds ratio [OR], 0.32; 95% CI, 0.22-0.46). In addition, even after controlling for receipt of care at MSH, Black patients remained at lower odds of enrollment in a clinical trial than White patients (OR, 0.57; 95% CI, 0.45-0.73; both P < .05).

CONCLUSION

Overall, clinical trial participation among patients with GI cancer was extremely low. Patients treated at an MSH and high safety-net burden hospitals and Black individuals were much less likely to be enrolled in a clinical trial. Efforts should be made to improve trial enrollment and address disparities in trial representation.

Reporting on invasive lobular breast cancer in clinical trials: a systematic review

Invasive lobular breast cancer (ILC) differs from invasive breast cancer of no special type in many ways. Evidence on treatment efficacy for ILC is, however, lacking. We studied the degree of documentation and representation of ILC in phase III/IV clinical trials for novel breast cancer treatments. Trials were identified on Pubmed and clinicaltrials.gov. Inclusion/exclusion criteria were reviewed for requirements on histological subtype and tumor measurability. Documentation of ILC was assessed and ILC inclusion rate, central pathology and subgroup analyses were evaluated. Inclusion restrictions concerning tumor measurability were found in 39/93 manuscripts. Inclusion rates for ILC were documented in 13/93 manuscripts and varied between 2.0 and 26.0%. No central pathology for ILC was reported and 3/13 manuscripts had ILC sub-analyses. ILC is largely disregarded in most trials with poor representation and documentation. The current inclusion criteria using RECIST v1.1, fall short in recognizing the unique non-measurable metastatic infiltration of ILC.

Quality of Decision Making in Radiation Oncology

High-quality decision making in radiation oncology requires the careful consideration of multiple factors. In addition to the evidence-based indications for curative or palliative radiotherapy, this article explores how, in routine clinical practice, we also need to account for many other factors when making high-quality decisions. Foremost are patient-related factors, including preference, and the complex interplay between age, frailty and comorbidities, especially with an ageing cancer population. Whilst clinical practice guidelines inform our decisions, we need to account for their applicability in different patient groups and different resource settings. With particular reference to curative-intent radiotherapy, we explore decisions regarding dose fractionation schedules, use of newer radiotherapy technologies and multimodality treatment considerations that contribute to personalised patient-centred care.

Lung Cancer in Women: The Past, Present, and Future

Lung cancer is the leading cause of cancer death for women in multiple countries including the United States. Women are exposed to unique risk factors that remain largely understudied such as indoor pollution, second-hand tobacco exposure, biological differences, gender differences in tolerability and response to therapy in lung cancer, and societal gender roles, that create distinct survivorship needs. Women continue to lack representation in lung cancer clinical trials and are typically treated with data generated from majority male patient study populations, which may be inappropriate to extrapolate and generalize to females. Current lung cancer treatment and screening guidelines do not incorporate sex-specific differences and physicians also often do not account for gender differences when choosing treatments or discussing survivorship needs. To best provide targeted treatment approaches, greater representation of women in lung cancer clinical trials and further research is necessary. Clinicians should understand the unique factors and consequences associated with lung cancer in women; thus, a holistic approach that acknowledges environmental and societal factors is necessary.

Disparities in the Demographic Composition of The Cancer Imaging Archive

Purpose To characterize the demographic distribution of The Cancer Imaging Archive (TCIA) studies and compare them with those of the U.S. cancer population. Materials and Methods In this retrospective study, data from TCIA studies were examined for the inclusion of demographic information. Of 189 studies in TCIA up until April 2023, a total of 83 human cancer studies were found to contain supporting demographic data. The median patient age and the sex, race, and ethnicity proportions of each study were calculated and compared with those of the U.S. cancer population, provided by the Surveillance, Epidemiology, and End Results Program and the Centers for Disease Control and Prevention U.S. Cancer Statistics Data Visualizations Tool. Results The median age of TCIA patients was found to be 6.84 years lower than that of the U.S. cancer population (P = .047) and contained more female than male patients (53% vs 47%). American Indian and Alaska Native, Black or African American, and Hispanic patients were underrepresented in TCIA studies by 47.7%, 35.8%, and 14.7%, respectively, compared with the U.S. cancer population. Conclusion The results demonstrate that the patient demographics of TCIA data sets do not reflect those of the U.S. cancer population, which may decrease the generalizability of artificial intelligence radiology tools developed using these imaging data sets. Keywords: Ethics, Meta-Analysis, Health Disparities, Cancer Health Disparities, Machine Learning, Artificial Intelligence, Race, Ethnicity, Sex, Age, Bias Published under a CC BY 4.0 license.

An absence of translated consent forms limits oncologic clinical trial enrollment for limited English proficiency participants

OBJECTIVES

A lack of diversity amongst participants in cancer clinical trials has raised scrutiny over the past decade. Patients with limited English proficiency (LEP) are further excluded. One modifiable reason for low LEP participation is a lack of non-English consent forms.

METHODS

We queried the clinical trials registry database at an academic hospital serving a predominantly Spanish-speaking patient population. Clinical trials related to gynecology oncology were evaluated for the availability of fully translated Spanish consent forms, the racial and ethnic identification of enrolled patients, and the number of signed Spanish consents. Enrolment data was compared before and after 2019, when institutional financial support for document translation was withdrawn.

RESULTS

Sixteen gynecologic oncology clinical trials were opened between 2014 and 2022, with 10 trials enrolling 128 patients. Eight trials opened prior to 2019, all with fully translated consent forms. Seven of these trials enrolled 99 participants, 70% of whom identified as Hispanic and 60% who signed a Spanish consent. Eight trials opened after 2019 and one had a fully translated consent form. Three of the trials enrolled 29 participants, with 10% of subjects identifying as Hispanic and none signing a Spanish consent form.

CONCLUSIONS

There was a decrease in fully translated clinical trial consent forms for gynecologic oncology studies following the loss of subsidized translation services in our single institution with a predominantly LEP population. This correlated with a decrease in enrollment of Hispanic subjects. To increase enrollment of diverse participants, including those with LEP, simple actions such as fully translating consent forms would help maintain equity in research conduct and improve clinical outcomes through trial involvement.

Do Current Lung Cancer Clinical Trials Represent All Patient Populations Including Minorities?

The under-representation of racial, sexual, and gender minorities in cancer clinical trials has long been a deficit in clinical cancer research. This review aims to survey current literature to determine the participation of minorities in the United States in lung cancer clinical trials and to find educational methods that have been studied and researched in order to improve patient clinical trial enrollment. A literature search of relevant articles published since 2015 was conducted using PubMed and Google Scholar. Clinical trials conducted in the United States from Clinicaltrials.gov were also collected to determine minority patient enrollment in lung cancer clinical trials. The results of the literature search yielded 6 relevant articles about racial minority representation in lung cancer clinical trials and one relevant article about LGBTQ+ minority representation in cancer clinical trials. Collectively, the literature highlighted the under-representation of racial minorities (such as Black, Hispanic, and American Indian) in clinical trials. Many articles showed that disparities in enrollment were less significant for Asian patients with lung cancer. However, many articles did not mention minorities like Middle Eastern/North Africans and failed to mention the lack of distinguishment of South Asian minorities from Pacific Asian minorities. The findings of this literature review support the idea that current lung cancer clinical trials lack representation of minority patient populations in the United States. The inclusion of racial, sexual, and gender diversity in clinical trial patient populations will aid providers in determining appropriate therapeutics and could potentially improve lung cancer outcomes. Future directions for improving diversity in lung cancer clinical trial enrollment include the utilization of various educational tools to increase minority patient participation in trials, the inclusion of detailed demographic data in cancer clinical trial analysis, and the recruitment of providers and research staff from various minorities to conduct cancer clinical trials.

MRI-Based Surrogate Imaging Markers of Aggressiveness in Prostate Cancer: Development of a Machine Learning Model Based on Radiomic Features

This study aimed to develop a noninvasive Machine Learning (ML) model to identify clinically significant prostate cancer (csPCa) according to Gleason Score (GS) based on biparametric MRI (bpMRI) radiomic features and clinical information.

METHODS

This retrospective study included 86 adult Hispanic men (60 ± 8.2 years, median prostate-specific antigen density (PSA-D) 0.15 ng/mL2) with PCa who underwent prebiopsy 3T MRI followed by targeted MRI-ultrasound fusion and systematic biopsy. Two observers performed 2D segmentation of lesions in T2WI/ADC images. We classified csPCa (GS ≥ 7) vs. non-csPCa (GS = 6). Univariate statistical tests were performed for different parameters, including prostate volume (PV), PSA-D, PI-RADS, and radiomic features. Multivariate models were built using the automatic feature selection algorithm Recursive Feature Elimination (RFE) and different classifiers. A stratified split separated the train/test (80%) and validation (20%) sets.

RESULTS

Radiomic features derived from T2WI/ADC are associated with GS in patients with PCa. The best model found was multivariate, including image (T2WI/ADC) and clinical (PV and PSA-D) information. The validation area under the curve (AUC) was 0.80 for differentiating csPCa from non-csPCa, exhibiting better performance than PI-RADS (AUC: 0.71) and PSA-D (AUC: 0.78).

CONCLUSION

Our multivariate ML model outperforms PI-RADS v2.1 and established clinical indicators like PSA-D in classifying csPCa accurately. This underscores MRI-derived radiomics' (T2WI/ADC) potential as a robust biomarker for assessing PCa aggressiveness in Hispanic patients.

Variations in racial and ethnic groups' trust in researchers associated with willingness to participate in research

Low enrollment in U.S. biomedical research by non-White adults has historically been attributed to mistrust, but few studies have simultaneously examined dimensions of trust in three or more racial/ethnic groups. Leveraging the racial/ethnic diversity of New Jersey, we prospectively recruited 293 adults (72% women, 38% older than 54 years of age) between October 2020 and February 2022 to complete two anonymous surveys in English or one of the common languages (e.g., Spanish, Mandarin Chinese). The first consisted of 12 Likert Scale questions related to trust in biomedical researchers (according to safety, equity, transparency), and the second assessed willingness to consider participation in eight common research activities (health-related survey, blood collection, genetic analysis, medication study, etc). Participants self-reported as Hispanic (n=102), Black (n=49), Chinese (n=48), other Asian (n=53), or White (n=41) race/ethnicity. Factor analysis showed three aspects related to trust in researchers: researchers as fiduciaries for research participants, racial/ethnic equity in research, and transparency. Importantly, we observed differences in the relationship between mistrust and willingness to participate. Whereas Chinese respondents' low trust in researchers mediated their low interest in research involving more than health-related surveys, Hispanic respondents' low trust in research equity did not deter high willingness to participate in research involving blood and genetic analysis. We caution that a generic association between trust and research participation should not be broadly assumed, and biomedical researchers should prospectively assess this relationship within each minoritized group to avoid hasty generalization.

Clinical atlas of rectal cancer highlights the barriers and insufficient interventions underlying the unfavorable outcomes in older patients

Background

Aging confers an increased risk of developing cancer, and the global burden of cancer is cumulating as human longevity increases. Providing adequate care for old patients with rectal cancer is challenging and complex.

Method

A total of 428 and 44,788 patients diagnosed with non-metastatic rectal cancer from a referral tertiary care center (SYSU cohort) and the Surveillance Epidemiology and End Results database (SEER cohort) were included. Patients were categorized into old (over 65 years) and young (aged 50-65 years) groups. An age-specific clinical atlas of rectal cancer was generated, including the demographic and clinicopathological features, molecular profiles, treatment strategies, and clinical outcomes.

Results

Old and young patients were similar in clinicopathological risk factors and molecular features, including TNM stage, tumor location, tumor differentiation, tumor morphology, lymphovascular invasion, and perineural invasion. However, old patients had significantly worse nutritional status and more comorbidities than young patients. In addition, old age was independently associated with less systemic cancer treatment (adjusted odds ratio 0.294 [95% CI 0.184-0.463, P < 0.001]). We found that old patients had significantly worse overall survival (OS) outcomes in both SYSU (P < 0.001) and SEER (P < 0.001) cohorts. Moreover, the death and recurrence risk of old patients in the subgroup not receiving chemo/radiotherapy (P < 0.001 for OS, and P = 0.046 for time to recurrence [TTR]) reverted into no significant risk in the subgroup receiving chemo/radiotherapy.

Conclusions

Although old patients had similar tumor features to young patients, they had unfavorable survival outcomes associated with insufficient cancer care from old age. Specific trials with comprehensive geriatric assessment for old patients are needed to identify the optimal treatment regimens and improve unmet cancer care.

Study registration

The study was registered on the research registry with the identifier of researchregistry 7635.

Recent advances in electrochemical nanomaterial-based aptasensors for the detection of cancer biomarkers

New technologies have provided suitable tools for rapid diagnosis of cancer which can reduce treatment costs and even increase patients' survival rates. Recently, the development of electrochemical aptamer-based nanobiosensors has raised great hopes for early, sensitive, selective, and low-cost cancer diagnosis. Here, we reviewed the flagged recent research (2021-2023) developed as a series of biosensors equipped with nanomaterials and aptamer sequences (nanoaptasensors) to diagnose/prognosis of various types of cancers. Equipping these aptasensors with nanomaterials and using advanced biomolecular technologies have provided specified biosensing interfaces for more optimal and reliable detection of cancer biomarkers. The primary intention of this review was to present and categorize the latest innovations used in the design of these diagnostic tools, including the hottest surface modifications and assembly of sensing bioplatforms considering diagnostic mechanisms. The main classification is based on applying various nanomaterials and sub-classifications considered based on the type of analyte and other vital features. This review may help design subsequent electrochemical aptasensors. Likewise, the up-to-date status, remaining limitations, and possible paths for translating aptasensors to clinical cancer assay tools can be clarified.

Socioeconomic Barriers to Randomized Clinical Trial Retention in Patients Treated With Adjuvant Radiation for Early-Stage Breast Cancer

PURPOSE

Socioeconomic barriers contribute to breast cancer clinical trial enrollment disparities. We sought to identify whether socioeconomic disadvantage also is associated with decreased trial retention.

METHODS AND MATERIALS

We performed a secondary analysis of 253 (of 287) patients enrolled in a randomized phase 3 trial of conventionally fractionated versus hypofractionated whole-breast irradiation. The outcome of trial retention versus dropout was defined primarily based on whether the patient completed breast cosmesis outcomes assessment at 3-year follow-up, and secondarily, at 5-year follow-up. Associations of retention with severity of socioeconomic disadvantage, quantified by patients' home neighborhood area deprivation index (ADI) rank (1 [least] to 100 [most deprivation]), were tested using the Kruskal-Wallis test and multivariate logistic regression. Associations of retention with patients' use of social resource assistance were analyzed using the χ² test.

RESULTS

In total, 21.7% (n = 55) of patients dropped out by 3 years and 36.7% (n = 92) by 5 years. Median ADI was 36.5 (interquartile range, 22-57) for retained and 46.0 (interquartile range, 29-60) for dropout patients. Dropout was associated with more severe socioeconomic deprivation (ADI ≥45 vs <45) at 3 years (odds ratio, 3.63; 95% confidence interval, 1.62-8.15; P = .002) and 5 years (odds ratio, 2.55; 95% confidence interval, 1.37-4.76; P = .003). While on study, patients who ultimately dropped out were more likely to require resource assistance for practical (transportation, housing, financial) than psychological needs (distress, grief) or advance care planning (P = .03).

CONCLUSIONS

In this study, ADI was associated with disparities in clinical trial retention of patients with breast cancer receiving adjuvant radiation treatment. Results suggest that developing multidimensional interventions that extend beyond routine social determinants needs screening are needed, not only to enhance initial clinical trial access and enrollment but also to enable robust long-term retention of socioeconomically disadvantaged patients and improve the validity and generalizability of reported long-term trial clinical and patient-reported outcomes.

Racial and ethnic disparities in early treatment with immunotherapy for advanced HCC in the United States

BACKGROUND AND AIMS

Immunotherapy has emerged as an effective treatment for patients with advanced-stage HCC. We aimed to investigate the efficacy of immunotherapy for advanced HCC in a nationwide cohort and racial and ethnic disparities in access to immunotherapy.

APPROACH AND RESULTS

We used the US National Cancer Database to identify patients with tumor-node-metastasis stage 3 or 4 HCC between 2017 and 2018. We performed multivariable Cox regression to identify factors associated with overall survival (OS) and logistic regression to identify factors associated with receipt of immunotherapy. Of the 3,990 patients treated for advanced HCC, 3,248 (81.4%) patients received chemotherapy and 742 (18.6%) patients received immunotherapy as a first-line treatment. Immunotherapy was associated with improved OS compared with chemotherapy (adjusted HR: 0.76, 95% CI: 0.65-0.88) after adjusting for covariates. There were racial and ethnic disparities in access to immunotherapy, with Hispanic (adjusted OR [aOR]: 0.63, 95% CI: 0.46-0.83) and Black patients (aOR: 0.71, 95% CI: 0.54-0.89) less likely to receive immunotherapy compared with White patients. There was a significant interaction between race-ethnicity and facility type, with higher disparity observed in nonacademic centers (interaction p = 0.004).

CONCLUSIONS

Immunotherapy was associated with improved OS compared with chemotherapy in advanced HCC. There are significant disparities in early access to immunotherapy, likely due to differential access to clinical trials and experimental therapies. A comprehensive approach to monitoring and eliminating racial-ethnic disparities in the management of advanced HCC is urgently needed.

Patterns of venous thromboembolism risk, treatment, and outcomes among patients with cancer from uninsured and vulnerable populations

The epidemiology of cancer-associated thrombosis (CAT) among uninsured and vulnerable populations in the US is not well-characterized. We performed a retrospective cohort study for patients with newly diagnosed cancer from 2011 to 2020 at Harris Health System, which cares for uninsured residents in the Houston metropolitan area. Patient demographics, NCI comorbidity index, area of deprivation index (ADI), cancer histology, staging, and systemic therapy data were extracted. CAT included overall venous thromboembolism (VTE) or pulmonary embolism +/- lower extremity deep vein thrombosis (PE/LE-DVT) within 1 year of diagnosis. We used multivariable Fine-Gray models to assess the associations with CAT accounting for death as a competing risk. Among 15 342 patients, 74% were uninsured and 84% lived in socioeconomically disadvantaged neighborhoods. There were 16% Non-Hispanic White (NHW), 28% Non-Hispanic Black (NHB), 50% Hispanic (27% Mexican), and 6% Asian/Pacific Islanders (API). The 1-year CAT incidence rate was 14.6%. Overall VTE was lower for Hispanics versus NHW (SHR 0.87 [0.76-0.99]) and API versus NHW (SHR 0.58 [0.44-0.77]). PE/LE-DVT was higher for NHB versus NHW (SHR 1.18 [1.01-1.39]). CAT was also associated with chemotherapy-based regimens (+/- immunotherapy), age, obesity, cancer type/staging, VTE history, and recent hospitalization. NCI comorbidity and ADI scores were associated with mortality but not CAT. In a large cohort of underserved patients with cancer, we identified an elevated incidence of CAT with known and novel risk predictors. Hispanics had lower adjusted rates of CAT and mortality. Our findings highlight the need to investigate and incorporate vulnerable populations in clinical trials.