Methodology: We identified all cancer research papers from OIC countries in the Web of Science from 2008 to 2017 with a filter based on journal names and title words, with high precision and recall. We analysed the country outputs, the cancer sites investigated, the types of research, sources of funding and the citations to the papers.

Results: There were 49,712 cancer research papers over this period. The leading countries in terms of output were Turkey, Iran, Egypt and Malaysia, but the most cited papers were from Qatar, Indonesia and Saudi Arabia. International collaboration was low, except in Qatar and the United Arab Emirates. The site-specific cancers accounting for most research were breast and blood, correlating with their disease burden in the OIC countries, but lung, cervical and oesophageal cancers were relatively under-researched. Most funding from within the OIC countries was from their own university sector.

METHODS: Cancer experts in lower-resource health care systems (as defined by the World Bank as low- and middle-income countries; N = 151) were contacted to participate in a modified consensus-seeking Delphi survey, comprising two rounds. In round 1, participants (n = 69) rated predetermined areas of potential research priority (ARPs) for importance and suggested missing ARPs. In round 2, the same participants (n = 49) rated an integrated list of predetermined and suggested ARPs from round 1, then undertook a forced choice priority ranking exercise. Composite voting scores (T-scores) were used to rank the ARPs. Importance ratings were summarized descriptively. Findings were discussed with international patient advocacy organization representatives.

RESULTS: The top ARP was research into strategies adapting guidelines or treatment strategies in line with available resources (particularly systemic therapy) (T = 83). Others included cancer registries (T = 62); prevention (T = 52); end-of-life care (T = 53); and value-based and affordable care (T = 51). The top COVID-19/cancer ARP was strategies to incorporate what has been learned during the pandemic that can be maintained posteriorly (T = 36). Others included treatment schedule interruption (T = 24); cost-effective reduction of COVID-19 morbidity/mortality (T = 19); and pandemic preparedness (T = 18).

METHODS: ARCHERY is a non-randomised prospective study to evaluate the quality and economic impact of AI-based automated radiotherapy treatment planning for cervical, head and neck, and prostate cancers, which are endemic in LMICs, and for which radiotherapy is the primary curative treatment modality. The sample size of 990 patients (330 for each cancer type) has been calculated based on an estimated 95% treatment plan acceptability rate. Time and cost savings will be analysed as secondary outcome measures using the time-driven activity-based costing model. The 48-month study will take place in six public sector cancer hospitals in India (n=2), Jordan (n=1), Malaysia (n=1) and South Africa (n=2) to support implementation of the software in LMICs.