Development and deployment of a histopathology-based deep learning algorithm for patient prescreening in a clinical trial.

Accurate identification of genetic alterations in tumors, such as Fibroblast Growth Factor Receptor, is crucial for treating with targeted therapies; however, molecular testing can delay patient care due to the time and tissue required. Successful development, validation, and deployment of an AI-based, biomarker-detection algorithm could reduce screening cost and accelerate patient recruitment. Here, we develop a deep-learning algorithm using >3000 H&E-stained whole slide images from patients with advanced urothelial cancers, optimized for high sensitivity to avoid ruling out trial-eligible patients. The algorithm is validated on a dataset of 350 patients, achieving an area under the curve of 0.75, specificity of 31.8% at 88.7% sensitivity, and projected 28.7% reduction in molecular testing. We successfully deploy the system in a non-interventional study comprising 89 global study clinical sites and demonstrate its potential to prioritize/deprioritize molecular testing resources and provide substantial cost savings in the drug development and clinical settings.

Advances in targeting histone deacetylase for treatment of solid tumors.

Histone deacetylase (HDAC) serves as a critical molecular regulator in the pathobiology of various malignancies and have garnered attention as a viable target for therapeutic intervention. A variety of HDAC inhibitors (HDACis) have been developed to target HDACs. Many preclinical studies have conclusively demonstrated the antitumor effects of HDACis, whether used as monotherapy or in combination treatments. On this basis, researchers have conducted various clinical studies to evaluate the potential of selective and pan-HDACis in clinical settings. In our work, we extensively summarized and organized current clinical trials, providing a comprehensive overview of the current clinical advancements in targeting HDAC therapy. Furthermore, we engaged in discussions about several clinical trials that did not yield positive outcomes, analyzing the factors that led to their lack of anticipated therapeutic effectiveness. Apart from the experimental design factors, issues such as toxicological side effects, tumor heterogeneity, and unexpected off-target effects also contributed to these less-than-expected results. These challenges have naturally become significant barriers to the application of HDACis. Despite these challenges, we believe that advancements in HDACi research and improvements in combination therapies will pave the way or lead to a broad and hopeful future in the treatment of solid tumors.

Joint recommendations on cost calculation and estimation in paediatric clinical trials.

The conduct of clinical trials in paediatrics is essential to improve drug therapy in children. In Europe, paediatric clinical trials have been supported by the European Paediatric Regulation since 2007, but there is still a great need for high-quality clinical trials. The personnel and time required to conduct clinical trials in accordance with EU Regulations 536/2014 and 745/2017 is considerably higher compared to other studies, such as observational studies. It is important that this additional workload for the trial centre is fully compensated, also taking into account EU state aid rules. In paediatric trials, it is necessary to take into account the special requirements of paediatric and adolescent medicine when calculating the additional costs. Within the framework of the pan-European paediatric study network c4c/GermanNetPaeT, a working group dealt with specific aspects of cost calculation in order to support paediatric study centres in internal cost calculation as well as in the subsequent preparation of financing requirements for industrial sponsors or public funders. In several workshops the working group developed a cost calculation template with the content derived from the "Joint recommendations for a total services account as a factor in simplifying contracts" of the Deutsche Hochschulmedizin (DHM, German University Medicine), the Netzwerk der Koordinierungszentren für Klinische Studien (KKS Network, Network of Coordinating Centres for Clinical Trials) and the Verband Forschender Arzneimittelhersteller (vfa, German Association of Research-Based Pharmaceutical Companies). By estimating the specific time required for measures and investigations as part of a sample study, the background to the increased time required was discussed and a list with aspects to be considered for cost calculation was compiled together with the study centres. The paediatrics-specific aspects mentioned in detail are intended to increase understanding of the particular problem of higher costs for clinical trials involving children and adolescents and the need for correspondingly appropriate remuneration. This transparent and comprehensible presentation of the higher financial requirements for both the study centres and the financial supporters is intended to promote the high-quality conduct of clinical trials in paediatric study centres in the long term.

Implementing an educational resource for patients participating in cancer clinical trials during the pandemic.

This research is centred in the specialty of early phase cancer research - the branch of clinical research that focuses on phase one and phase two clinical trials. The aim was to gain an understanding of the complexity of work involved in implementing an educational intervention within the clinical pathway for newly referred early phase cancer clinical trial patients. The May and Finch Normalisation Process Theory (NPT) was used to understand, develop and evaluate the process of embedding an educational resource at referral hospital sites. Elements emerged from the evaluation that provide insights into the complexity of the implementation work that took place. The main elements were: pandemic-related challenges, change management, leadership, shared purpose, teamwork, workforce capacity and patient outcomes. The findings shed light on the barriers to or facilitators of the implementation of the educational resource.

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.).

Pragmaticism in Cancer Clinical Trials.

Clinical trials are essential for advancing oncology treatment strategies and have contributed significantly to the decline in cancer mortality rates over the past decades. Traditional explanatory trials, focused on establishing intervention efficacy in ideal settings, often lack generalizability and may not reflect real-world patient care scenarios. Furthermore, increasing complexity in cancer clinical trial design has led to challenges such as protocol deviations, slow enrollment leading to lengthened durations of trial, and escalating costs. By contrast, pragmatic trials aim to assess intervention effectiveness in more representative patient populations under routine clinical conditions. Here, we review the principles, methodologies, challenges, and advantages of incorporating pragmatic features (PFs) into cancer clinical trials. We illustrate the application of pragmatic trial designs in oncology and discuss the QUASAR collaborative, TAPUR study, and the ongoing PRAGMATICA-LUNG trial. Although not all oncology trials may be amenable to adopting fully pragmatic designs, integration of PFs when feasible will enhance trial generalizability and real-world applicability. Project Pragmatica and similar initiatives advocate for the integration of real-world practice with clinical trials, fostering a nuanced approach to oncology research that balances efficacy and effectiveness assessments, ultimately with a goal of improving patient outcomes.

Increasing inclusion and equity for Black women in breast cancer clinical trials.

Black women diagnosed with breast cancer experience a disproportionately high mortality rate. The disparity in outcomes between Black and White women is multifactorial, with a large portion attributed to lower participation of minorities in clinical trials. The lack of diversity in clinical trials continues to both reflect and contribute to health care inequities, limiting the generalizability of research findings. In addition, women who do not enroll in clinical trials miss out on the standard-of-care or often better patient care provided in these trials. Barriers to enrolling diverse populations encompass system-, provider-, and patient-level barriers. Identifying these barriers and providing actionable solutions are key to bolstering enrollment in clinical trials and ultimately eliminating cancer disparities. This review elucidates the barriers to clinical trial participation in Black women diagnosed with breast cancer and discusses ways to overcome these challenges.

Prognostic biomarkers in melanoma: a 2023 update from clinical trials in different therapeutic scenarios.

INTRODUCTION: Over the past decade, significant advancements in the field of melanoma have included the introduction of a new staging system and the development of immunotherapy and targeted therapies, leading to changes in substage classification and impacting patient prognosis. Despite these strides, early detection remains paramount. The quest for dependable prognostic biomarkers is ongoing, given melanoma's unpredictable nature, especially in identifying patients at risk of relapse. Reliable biomarkers are critical for informed treatment decisions. AREAS COVERED: This review offers a comprehensive review of prognostic biomarkers in the context of clinical trials for immunotherapy and targeted therapy. It explores different clinical scenarios, including adjuvant, metastatic, and neo-adjuvant settings. Key findings suggest that tumor mutational burden, PD-L1 expression, IFN-γ signature, and immune-related factors are promising biomarkers associated with improved treatment responses. EXPERT OPINION: Identifying practical prognostic factors for melanoma therapy is challenging due to the tumor's heterogeneity. Promising biomarkers include tumor mutational burden (TMB), circulating tumor DNA, and those characterizing the tumor microenvironment, especially the immune component. Future research should prioritize large-scale, prospective studies to validate and standardize these biomarkers, emphasizing clinical relevance and real-world applicability. Easily accessible biomarkers have the potential to enhance the precision and effectiveness of melanoma management.

Chimeric antigen receptor-natural killer cell therapy: current advancements and strategies to overcome challenges.

Chimeric antigen receptor-natural killer (CAR-NK) cell therapy is a novel immunotherapy targeting cancer cells via the generation of chimeric antigen receptors on NK cells which recognize specific cancer antigens. CAR-NK cell therapy is gaining attention nowadays owing to the ability of CAR-NK cells to release potent cytotoxicity against cancer cells without side effects such as cytokine release syndrome (CRS), neurotoxicity and graft-versus-host disease (GvHD). CAR-NK cells do not require antigen priming, thus enabling them to be used as "off-the-shelf" therapy. Nonetheless, CAR-NK cell therapy still possesses several challenges in eliminating cancer cells which reside in hypoxic and immunosuppressive tumor microenvironment. Therefore, this review is envisioned to explore the current advancements and limitations of CAR-NK cell therapy as well as discuss strategies to overcome the challenges faced by CAR-NK cell therapy. This review also aims to dissect the current status of clinical trials on CAR-NK cells and future recommendations for improving the effectiveness and safety of CAR-NK cell therapy.

Tumor-Derived Antigenic Peptides as Potential Cancer Vaccines.

Peptide antigens derived from tumors have been observed to elicit protective immune responses, categorized as either tumor-associated antigens (TAAs) or tumor-specific antigens (TSAs). Subunit cancer vaccines incorporating these antigens have shown promise in inducing protective immune responses, leading to cancer prevention or eradication. Over recent years, peptide-based cancer vaccines have gained popularity as a treatment modality and are often combined with other forms of cancer therapy. Several clinical trials have explored the safety and efficacy of peptide-based cancer vaccines, with promising outcomes. Advancements in techniques such as whole-exome sequencing, next-generation sequencing, and in silico methods have facilitated the identification of antigens, making it increasingly feasible. Furthermore, the development of novel delivery methods and a deeper understanding of tumor immune evasion mechanisms have heightened the interest in these vaccines among researchers. This article provides an overview of novel insights regarding advancements in the field of peptide-based vaccines as a promising therapeutic avenue for cancer treatment. It summarizes existing computational methods for tumor neoantigen prediction, ongoing clinical trials involving peptide-based cancer vaccines, and recent studies on human vaccination experiments.

Strategies for increasing accrual in cancer clinical trials: What is the evidence?

INTRODUCTION: Despite the importance of clinical trial participation among cancer patients, few participate-and even fewer patients from ethnic and racial minoritized groups. It is unclear whether suggested approaches to increase accrual are successful. We conducted a scoping review to identify evidence-based approaches to increase participation in cancer treatment clinical trials that demonstrated clear increases in accrual. Notably, more stringent than other published reviews, only those studies with comparison data to measure a difference in accrual rates were included. METHODS: We searched PubMed/MEDLINE, Embase, CINAHL, and Web of Science for English-language articles published from January 1, 2012, to August 8, 2022. Studies were included if they were conducted in the United States, described single or multicomponent interventions, and provided data to measure accrual relative to baseline levels or that compared accrual rates with other interventions. RESULTS: Sixteen articles were included: six with interventions addressing patient barriers, two addressing provider barriers, seven describing institutional change, and one describing policy change. Key themes emerged, such as a focus on patient education, cultural competency, and building the capacity of clinics. Few studies provide comparative accrual data, making it difficult to identify with certainty any effective, evidence-based approaches for increasing accrual. Some patient- and system-level interventions studies showed modest increases in accrual primarily through pre-post measurement. CONCLUSION: Despite an extensive body of literature about the barriers that impede cancer treatment trial accrual, along with numerous recommendations for how to overcome these barriers, results reveal surprisingly little evidence published in the last 10 years on interventions that increase accrual relative to baseline levels or compared with other interventions. As clinical trials are a primary vehicle through which we improve cancer care, it is critical that evidence-based approaches are used to inform all efforts to increase accrual. Strategies for increasing participation in cancer clinical trials must be developed and rigorously evaluated so that these strategies can be disseminated, participation in trials can increase and become more equitable, and trial results can become more generalizable.