Cancer in adolescents and young adults (AYAs; ages 15–39 years) is a rising global epidemic. Yet, AYAs remain an understudied population, and little is known about what research topics should be prioritised according to those with lived experience. The AYA Cancer Priority Setting Partnership (PSP) was established to identify the top 10 research priorities for AYA cancer in Canada according to patients, caregivers, and clinicians.

This project followed the James Lind Alliance (JLA) Priority Setting Partnership (PSP) methodology that included two national cross-sectional surveys and a final priority setting workshop following an adapted nominal group technique.

A national sample was recruited to participate from across Canada.

Participants were patients, caregivers, and clinicians with lived personal and/or professional experience of AYA cancer in Canada.

In the first survey, open-ended responses were collected from participants about questions they would like answered by research. Responses were collated into overarching summary questions and a literature search was undertaken to verify if questions were true uncertainties and not fully answered by existing evidence. Unanswered questions were ranked by participants in a second survey. The top-ranked questions were prioritised through consensus at the final priority setting workshop. The final outcome was the top 10 priorities for AYA cancer research in Canada.

In the initial survey, 1916 potential research questions were submitted by 275 patients, caregivers, and clinicians. Following data processing, summary question formation, and the evidence check, 58 questions were put forward for interim prioritisation in a second survey (n=285 patients, caregivers, and clinicians). The top 20 questions from the interim prioritisation were ranked at the final priority setting workshop attended by a diverse group of 23 patients, caregivers and clinicians from across Canada. The resulting top 10 priorities reflect topics across the cancer continuum including: diagnostic delays, screening and early detection, novel therapies, psychosocial impacts, end-of-life concerns, and survivorship issues.

This patient-directed research agenda will guide researchers, funding agencies, and policymakers to ensure that future research is aligned with what matters most to the AYA cancer community.

Observational data are increasingly used to study and draw causal inferences about the effects of treatments. Target trial emulation (TTE) is a framework for mitigating biases in causal investigations through specification of an observational study, targeting a specific causal research question, based on a real or hypothetical randomised controlled trial. Investigations into the effects of treatment discontinuation are of growing interest and particularly relevant in cystic fibrosis (CF), where treatment burden is high and new transformative therapies are becoming widespread. We aim to use the TTE framework to investigate the effect of discontinuation of inhaled corticosteroids (ICS) on clinical outcomes in people with CF. Our observational emulation will be based on the CF WISE (Withdrawal of Inhaled Steroids Evaluation) trial (PMID:16556691).

Two study designs proposed for investigating treatment effects using observational data are the prevalent new-user design and the sequential trials design. Each design uses different but related methods to address similar causal questions; however, the comparability between them remains uncertain. We will conduct a population-based cohort study using data from the UK CF Registry between January 2016 and June 2018 and apply these designs. We will specify the target trial protocol for each study design. Estimates for the causal effects of discontinuing ICS will be obtained and compared with those from the CF-WISE trial.

This study has received approval from the UK CF Registry Research Committee for both the research and access to data. Ethical approval has also been granted by the LSHTM Ethics Committee. The UK CF Registry has NHS Research Ethics Committee approval (REC reference: 24/EE/0012). The findings from this project will be submitted to peer-reviewed journals and presented at academic conferences.