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Recent literature has separately identified multiple determinants of the use of neoadjuvant chemotherapy (NAC) and adherence to pelvic lymph node dissection (PLND) guidelines in the management of non-metastatic bladder cancer. However, such NAC/PLND analyses tend not to account for the other modality, despite the fact that NAC may impact the extent of dissectible lymph nodes. We aimed to determine the predictors of adequate PLND in patients with non-metastatic urothelial muscle-invasive bladder cancer (MIBC) undergoing radical cystectomy (RC) following receipt of NAC. We queried the National Cancer Database to identify patients from 2006–2015 with cT2-cT4a/N0M0 urothelial MIBC who underwent RC and were pre-treated with NAC. Multivariate logistic regression analysis was used to identify independent predictors of undergoing an adequate PLND (defined as > 8 nodes). A total of 1518 patients met the criteria for inclusion (74.4% underwent adequate PLND). Adequate PLND was associated with treatment at an academic research facility (OR 2.762 [95% CI 2.119–3.599], p

The utility of cancer cell lines is affected by the similarity to endogenous tumour cells. Here we compare genomic data from 65 kidney-derived cell lines from the Cancer Cell Line Encyclopedia and the COSMIC Cell Lines Project to three renal cancer subtypes from The Cancer Genome Atlas: clear cell renal cell carcinoma (ccRCC, also known as kidney renal clear cell carcinoma), papillary (pRCC, also known as kidney papillary) and chromophobe (chRCC, also known as kidney chromophobe) renal cell carcinoma. Clustering copy number alterations shows that most cell lines resemble ccRCC, a few (including some often used as models of ccRCC) resemble pRCC, and none resemble chRCC. Human ccRCC tumours clustering with cell lines display clinical and genomic features of more aggressive disease, suggesting that cell lines best represent aggressive tumours. We stratify mutations and copy number alterations for important kidney cancer genes by the consistency between databases, and classify cell lines into established gene expression-based indolent and aggressive subtypes. Our results could aid investigators in analysing appropriate renal cancer cell lines., Cell lines are central to cancer research, but knowing which cell lines are the best representative of actual tumours is a major challenge. Here the authors provide a resource assessment of 65 renal cell lines to assist researchers in selecting suitable lines for studying specific renal carcinoma subtypes.