SummaryThe evolutionary features of clear-cell renal cell carcinoma (ccRCC) have not been systematically studied to date. We analyzed 1,206 primary tumor regions from 101 patients recruited into the multi-center prospective study, TRACERx Renal. We observe up to 30 driver events per tumor and show that subclonal diversification is associated with known prognostic parameters. By resolving the patterns of driver event ordering, co-occurrence, and mutual exclusivity at clone level, we show the deterministic nature of clonal evolution. ccRCC can be grouped into seven evolutionary subtypes, ranging from tumors characterized by early fixation of multiple mutational and copy number drivers and rapid metastases to highly branched tumors with >10 subclonal drivers and extensive parallel evolution associated with attenuated progression. We identify genetic diversity and chromosomal complexity as determinants of patient outcome. Our insights reconcile the variable clinical behavior of ccRCC and suggest evolutionary potential as a biomarker for both intervention and surveillance.

contributed equally to the present study. Objectives• To define terms and processes and agree on a minimum dataset in relation to transperineal prostate biopsy procedures and enhanced prostate diagnostics.• To identify the need for further evaluation and establish a collaborative research practice. Patients and Methods• A 19-member multidisciplinary panel rated 66 items for their appropriateness and their definition to be incorporated into the international databank using the Research and Development/University of California Los Angeles Appropriateness Method. • The item list was developed from interviews conducted with healthcare professionals from urology, radiology, pathology and engineering. Results• The panel agreed on 56 items that were appropriate to be incorporated into a prospective database.• In total, 10 items were uncertain and were omitted. These items were within the categories: definitions (n = 2), imaging (n = 1), surgical protocols (n = 2) and histology (n = 5). Conclusions• The components of a minimum dataset for transperineal prostate biopsy have been defined. • This provides an opportunity for multicentre collaborative data analysis and technique development.• The findings of the present study will facilitate prospective studies into the application and outcome of transperineal prostate biopsies.

Papillary renal cell carcinoma (pRCC) is an important subtype of kidney cancer with a problematic pathological classification and highly variable clinical behaviour. Here we sequence the genomes or exomes of 31 pRCCs, and in four tumours, multi-region sequencing is undertaken. We identify BAP1, SETD2, ARID2 and Nrf2 pathway genes (KEAP1, NHE2L2 and CUL3) as probable drivers, together with at least eight other possible drivers. However, only ~10% of tumours harbour detectable pathogenic changes in any one driver gene, and where present, the mutations are often predicted to be present within cancer sub-clones. We specifically detect parallel evolution of multiple SETD2 mutations within different sub-regions of the same tumour. By contrast, large copy number gains of chromosomes 7, 12, 16 and 17 are usually early, monoclonal changes in pRCC evolution. The predominance of large copy number variants as the major drivers for pRCC highlights an unusual mode of tumorigenesis that may challenge precision medicine approaches.

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Genetic intra-tumour heterogeneity fuels clonal evolution, but our understanding of clinically relevant clonal dynamics remain limited. We investigated spatial and temporal features of clonal diversification in clear cell renal cell carcinoma through a combination of modelling and real tumour analysis. We observe that the mode of tumour growth, surface or volume, impacts the extent of subclonal diversification, enabling interpretation of clonal diversity in patient tumours. Specific patterns of proliferation and necrosis explain clonal expansion and emergence of parallel evolution and microdiversity in tumours. In silico time-course studies reveal the appearance of budding structures before detectable subclonal diversification. Intriguingly, we observe radiological evidence of budding structures in early-stage clear cell renal cell carcinoma, indicating that future clonal evolution may be predictable from imaging. Our findings offer a window into the temporal and spatial features of clinically relevant clonal evolution.

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Background/Aims/Objectives: Our aim was to evaluate the accuracy of systematic transperineal sector mapping biopsy (TPSMB) in predicting Gleason score (GS) at radical prostatectomy (RP), to compare its accuracy with standard transrectal ultrasound-guided biopsies (TRUS) and to establish the clinical impact of discordance between biopsies and RP on subsequent surgical management. Methods: Two hundred fifty-five patients from 2008 to 2013 who underwent RP following TPSMB (n = 204) or TRUS (n = 51), were included in this retrospective multi-institutional study. Concordance between biopsies and RPs GS was assessed both as percentages and with Cohen's Kappa coefficient. All mismatches between biopsies and RP were assessed for significance by 3 urologists using the Delphi method. Results: No differences were present among the groups. Concordance between biopsy and RP GS was 75.49% for TPSMB and 64.70% for TRUS. Kappa coefficient was 0.42 and 0.39 respectively. The Delphi method showed lower clinical impact of GS discordances for TPSMB with 7.8% of patients having significant change, thus being potentially more suitable for other treatment modalities, compared to TRUS (13.7%). Conclusions: TPSMB had a higher accuracy for predicting the GS grade at RP showing superior GS concordance compared with standard TRUS. TPSMB provides an effective technique for systematic prostate biopsy to evaluate overall prostate cancer GS.