Inequality factors in access to early-phase clinical trials in oncology in France: results of the EGALICAN-2 study

Artificial intelligence in oncology: ensuring safe and effective integration of language models in clinical practice

In this Personal View, we address the latest advancements in automatic text analysis with artificial intelligence (AI) in medicine, with a focus on its implications in aiding treatment decisions in medical oncology. Acknowledging that a majority of hospital medical content is embedded in narrative format, natural language processing has become one of the most dynamic research fields for developing clinical decision support tools. In addition, large language models have recently reached unprecedented performance, notably when answering medical questions. Emerging applications include prognosis estimation, treatment recommendations, multidisciplinary tumor board recommendations and matching patients to recruiting clinical trials. Altogether, we advocate for a forward-looking approach in which the community efficiently initiates global prospective clinical evaluations of promising AI-based decision support systems. Such assessments will be essential to validate and evaluate potential biases, ensuring these innovations can be effectively and safely translated into practical tools for oncological practice. We are at a pivotal moment, where continued advancements in patient care must be pursued with scientific rigor.

[Targeted therapies and immunotherapy: Positioning in the field of innovation and challenges for the therapeutic decision-making process]

The better understanding of the molecular, cellular, and immunological mechanisms of cancer has led to the development of targeted therapies, then immunotherapy, which have changed the approach to cancer treatment. While these treatments differ from chemotherapy in their mechanisms of action, they also allow for increased personalization of cancer care through the development of technologies that target patients more precisely. However, they are associated with several challenges: the management of uncertainty associated with their risk-benefit balance due to the lack of long-term data and sometimes scientific evidence on their effects; the complexity of integrating molecular and immunological data into the therapeutic decision; the challenge of inequalities in access to these treatments often considered revolutionary due to the required molecular characterization and/or inclusion criteria for early-phase trials; and the challenge of their appropriation and adoption by physicians and patients. This narrative review explores each of these challenges in the context of shared decision-making, the promotion of which is a guarantee of quality and safety of care for cancer patients.

Social determinants of health inequalities in early phase clinical trials in Northern England

BACKGROUND

Early phase clinical trials in Oncology represent a subspecialised area where UK patient selection is influenced by access to Experimental Cancer Medicine Centres (ECMCs). Equity of access with respect to social determinants of health (SDoH) were explored for two major ECMCs.

METHODS

A retrospective cohort study including all referrals to Newcastle and Manchester ECMCs in 2021 was completed. Consent to screening or pre-screening was stratified against SDoH characteristics, including: Index of Multiple Deprivation (IMD) decile, ethnicity and distance to centre.

RESULTS

1243 patients were referred for trials. IMD quintile 1 (most deprived) patients had reduced likelihood of referral compared to expected population models (OR, 0.67; 95% CI: 0.55 to 0.80, p = <0.0001). IMD quintile 5 (least deprived) had increased likelihood of referral (OR, 1.46; 95% CI: 1.17 to 1.82, p = 0.0007). Living beyond median distance from Manchester reduced the likelihood of consenting to trials (OR, 0.72; 95% CI: 0.55 to 0.94, p = 0.015). Ethnicity data represented a White British propensity.

CONCLUSIONS

Inequalities in socioeconomic and geographic factors influence referral and enrolment to early phase clinical trials in Northern England. This has implications for equity of access and generalisability of trial results internationally and warrants further study.

EBCC-14 manifesto: Addressing disparities in access to innovation for patients with metastatic breast cancer across Europe

The European Breast Cancer Council (EBCC) traditionally identifies controversies or major deficiencies in the management of patients with breast cancer and selects a multidisciplinary expert team to collaborate in setting crucial principles and recommendations to improve breast cancer care. The 2024 EBCC manifesto focuses on disparities in the care of patients with metastatic breast cancer. There are several reasons for existing disparities both between and within countries. Our recommendations aim to address the stigma of metastatic disease, which has led to significant disparities in access to innovative care regardless of the gross national income of a country. These recommendations are for different stakeholders to promote the care of patients with metastatic breast cancer across Europe and worldwide.

[Impact of precariousness on breast cancer care in the Île-de-France region: Results of the DESSEIN study]

INTRODUCTION

Precariousness has been associated with an increase in breast cancer mortality, but the links between precariousness, stage at diagnosis and care pathways are little explored. The objective of the DESSEIN study was to assess the impact of precariousness on disease and care pathways.

METHODS

Prospective observational study in Île-de-France comparing precarious and non-precarious patients consulting for breast cancer and followed for 1 year.

RESULTS

In total, 875 patients were included between 2016 and 2019 in 19 institutions: 543 non-precarious patients and 332 precarious patients. Precarious patients had a more advanced stage at diagnosis (55% T1 vs. 63%, 30% N+ vs 19%, P=0.0006), had a higher risk of not receiving initially planned treatment (4 vs. 1%, P=0.004), and participated less in clinical trials (5 vs. 9%, P=0.03). Non-use of supportive oncology care was 2 times more frequent among patients in precarious situations (P<0.001). During treatment, 33% of deprived patients reported a loss of income, compared with 24% of non-deprived patients (P<0.001). At 12 months from diagnosis, lay-offs were 2 times more frequent in precarious patients (P=0.0001).

DISCUSSION

Precariousness affects all stages of the cancer history and care pathway. Particular attention needs to be paid to vulnerable populations, considering issues of accessibility and affordability of care, health literacy and possible implicit bias from the care providers.

Comparison of baseline patient characteristics in Italian oncology drug monitoring registries and clinical trials: a real-world cross-sectional study

Background

Generalizability of registrative clinical trials to real-world clinical practice is influenced by comparability of patients in the two settings. We compared characteristics of cancer patients in registrative trials with real-world clinical practice in Italy.

Methods

Data on age, sex and performance status (PS) were derived from web-based monitoring registries developed by Italian Medicines Agency (AIFA) and corresponding registrative trials reported in the European Public Assessment Reports (EPAR) of European Medicines Agency (EMA). Weighted means were calculated in registries and trials and differences were described. Multivariate analysis was performed using Principal Component Analysis and Cluster Analysis.

Findings

From January, 2013 to April, 2023, 419,461 unique pairs of patients and therapeutic indications were recorded in 129 AIFA registries. Within 140 related trials, 87,452 patients had been enrolled. Median age and rate of elderly (≥65 years old) patients were higher in monitoring registries than in clinical trials [mean difference of median age 5.3 years, p < 0.001; mean difference of elderly rate 17.17% (95% CI 1.06, 1.48)]. Overall, rate of female patients was not different between registries and trials [mean difference -0.55% (95% CI -1.06, -0.05)]. Mean rate of patients with deteriorated PS was low both in trials (3.1%) and in registries (4.3%) with a mean difference of 1.27% (95% CI 1.06, 1.48). Two clusters were identified with multivariate analysis: one including more registries (higher median age and elderly rate, lower female rate, higher rate of deteriorated patients), the other more trials (lower median age and elderly rate, higher female rate, lower rate of deteriorated patients).

Interpretation

This study supports that cancer patients enrolled in trials do only partially represent those who have been treated in Italy in clinical practice. Inclusiveness of registrative trials should be increased to ensure generalizability of results to real-world population.

Funding

Partially supported by Italian Ministry of Health.

Breast cancer insights from Northern Israel: a comprehensive analysis of survival rates among Jewish and Arab women

This study investigates breast cancer survival rates between 2000 and 2022 in northern Israel, focusing on ethnicity, socioeconomic status, age at diagnosis, and the Charlson Comorbidity Index. Analyzing data from Clalit Health Services, we studied 8,431 breast cancer patients (6,395 Jewish, 2,036 Arab). We compared five- and ten-year survival rates across different demographics. Ethnicity showed a minor impact on survival (OR 1.12, 95% CI: 0.93 - 1.35). Socioeconomic status had a significant effect, with a higher level of improving survival (OR 2.50, 95% CI: 2.04 - 3.08). Age was crucial; women 18-39 had better survival than 60-100, but no significant difference was found between the 18-39 and 40-59 age groups [OR (CI 0.90 - 1.53, p = 0.231)]. For the Charlson Comorbidity Index, women with scores of 3-10 showed lower survival compared to scores of 0 and 1-2. There was a notable improvement in five-year survival rates among patients aged 18-59 diagnosed from 2009-2018 (90.7%) compared to 2000-2008 (86.9%) (p = 0.0046), but not in patients aged 60-100. The study highlights that socioeconomic status, age, and comorbidity scores are significant in determining survival rates for breast cancer. The improvement in survival rates for younger patients diagnosed more recently reflects advancements in treatment and care. This research provides valuable insights into the factors affecting breast cancer survival rates, underscoring the role of socioeconomic status, age, and comorbidities while also highlighting the progress in breast cancer treatment over recent years.

Patients' selection and trial matching in early-phase oncology clinical trials

BACKGROUND

Early-phase clinical trials (EPCT) represent an important part of innovations in medical oncology and a valuable therapeutic option for patients with metastatic cancers, particularly in the era of precision medicine. Nevertheless, adult patients' participation in oncology clinical trials is low, ranging from 2% to 8% worldwide, with unequal access, and up to 40% risk of early discontinuation in EPCT, mostly due to cancer-related complications.

DESIGN

We review the tools and initiatives to increase patients' orientation and access to early phase cancer clinical trials, and to limit early discontinuation.

RESULTS

New approaches to optimize the early-phase clinical trial referring process in oncology include automatic trial matching, tools to facilitate the estimation of patients' prognostic and/or to better predict patients' eligibility to clinical trials. Classical and innovative approaches should be associated to double patient recruitment, improve clinical trial enrollment experience and reduce early discontinuation rates.

CONCLUSIONS

Whereas EPCT are essential for patients to access the latest medical innovations in oncology, offering the appropriate trial when it is relevant for patients should increase by organizational and technological innovations. The oncologic community will need to closely monitor their performance, portability and simplicity for implementation in daily clinical practice.