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Biology subjects

Prip, F.

Publications and source records attributed to Prip, F..

2 recordsLinked to original sources

Field cancerization impacts tumor development, T-cell exhaustion and clinical outcomes in bladder cancer

Bladder field cancerization may be associated with disease outcome in patients with bladder cancer. To investigate this, we analyzed biopsies from bladder urothelium and urine samples by genomics and proteomics analyses. Samples were procured from multiple timepoints from 134 patients with early stage bladder cancer and detailed long term follow-up. We measured the field cancerization in normal-appearing bladder biopsies and found that high levels were associated with high tumor mutational burden, high neoantigen load, and high tumor-associated CD8 T-cell exhaustion. Non-synonymous mutations in known bladder cancer driver genes such as KDM6A and TP53 were identified as early disease drivers in normal urothelium. High field cancerization was associated with worse outcome but not with response to BCG. The level of urinary tumor DNA (utDNA) reflected the bladder tumor burden and originated from both tumors and field cancerization. High utDNA levels after BCG were associated with worse clinical outcomes for the patients. Our results indicate that the level of field cancerization may affect clinical outcome, tumor development and immune responses. utDNA measurements have significant prognostic value and reflect the disease status of the bladder.

cancer biology↗

Single nucleus and spatially resolved intra-tumor subtype heterogeneity in bladder cancer

Current transcriptomic classification systems for bladder cancer do not consider the level of intra-tumor subtype heterogeneity. Here we present an investigation of the extent and possible clinical impact of intra-tumor heterogeneity across early and more advanced disease stages of bladder cancer. We performed single nucleus RNA-sequencing of 48 bladder tumors and four of these tumors were additionally analyzed using spatial transcriptomics. Total bulk RNA-sequencing and spatial proteomics data were available from the same tumors for comparison, along with detailed clinical follow-up of the patients. We demonstrate that tumors display varying levels of intra-tumor subtype heterogeneity and show that a higher class 2a weight estimated from bulk RNA-sequencing data is associated with worse outcome in patients with molecular high-risk class 2a tumors. Our results indicate that discrete subtype assignments from bulk RNA-sequencing data may lack biological granularity and continuous class scores could improve clinical risk stratification of patients. HighlightsO_LISingle nucleus RNA-sequencing of tumors from 48 bladder cancer patients. C_LIO_LITumors display varying levels of intra-tumor subtype heterogeneity at single nucleus and bulk tumor level. C_LIO_LIThe level of subtype heterogeneity could be estimated from both single nucleus and bulk RNA-sequencing data with a high concordance between the two. C_LIO_LIHigh class 2a weight estimated from bulk RNA-sequencing data is associated with worse outcome in patients with molecular high-risk class 2a tumors. C_LI

cancer biology↗