Search

Clinical trials to establish the efficacy of new agents in the adjuvant cancer setting typically take many years to complete. During that time, external factors can impact recruitment and reporting plans. An example is a new standard of care becoming available during the recruitment period.In this paper we describe how we modified the design of the RAMPART trial (NCT03288532) which was set up to investigate immune checkpoint inhibitor therapy in the adjuvant renal cancer setting. The trial had been initiated when no globally accepted adjuvant strategy after nephrectomy existed. A subsequent change in the standard of care for many patients with early renal cancer meant it was no longer feasible to continue to recruit. We needed to find a way to maximise the contribution that RAMPART participants could make to the evidence base for immune checkpoint inhibitor therapy without introducing bias or detriment to the integrity of the trial results. We describe how we agreed and incorporated all design and timeline changes while remaining blinded to accumulating data within the trial, thus protecting the reliability of the future results. We share details of our design modifications to guide others who may have similar experiences, particularly as more agents and combinations of agents are developed and investigated in similar adjuvant settings.

So far six susceptibility loci for renal cell carcinoma (RCC) have been discovered by genome-wide association studies (GWAS). To identify additional RCC common risk loci, we performed a meta-analysis of published GWAS (totalling 2,215 cases and 8,566 controls of Western-European background) with imputation using 1000 Genomes Project and UK10K Project data as reference panels and followed up the most significant association signals [22 single nucleotide polymorphisms (SNPs) and 3 indels in eight genomic regions] in 383 cases and 2,189 controls from The Cancer Genome Atlas (TCGA). A combined analysis identified a promising susceptibility locus mapping to 1q24.1 marked by the imputed SNP rs3845536 (Pcombined =2.30x10-8). Specifically, the signal maps to intron 4 of the ALDH9A1 gene (aldehyde dehydrogenase 9 family, member A1). We further evaluated this potential signal in 2,461 cases and 5,081 controls from the International Agency for Research on Cancer (IARC) GWAS of RCC cases and controls from multiple European regions. In contrast to earlier findings no association was shown in the IARC series (P=0.94; Pcombined =2.73x10-5). While variation at 1q24.1 represents a potential risk locus for RCC, future replication analyses are required to substantiate our observation.