A genetically defined disease model reveals that urothelial cells can initiate divergent bladder cancer phenotypes.

Journal Article (Journal Article)

Small cell carcinoma of the bladder (SCCB) is a rare and lethal phenotype of bladder cancer. The pathogenesis and molecular features are unknown. Here, we established a genetically engineered SCCB model and a cohort of patient SCCB and urothelial carcinoma samples to characterize molecular similarities and differences between bladder cancer phenotypes. We demonstrate that SCCB shares a urothelial origin with other bladder cancer phenotypes by showing that urothelial cells driven by a set of defined oncogenic factors give rise to a mixture of tumor phenotypes, including small cell carcinoma, urothelial carcinoma, and squamous cell carcinoma. Tumor-derived single-cell clones also give rise to both SCCB and urothelial carcinoma in xenografts. Despite this shared urothelial origin, clinical SCCB samples have a distinct transcriptional profile and a unique transcriptional regulatory network. Using the transcriptional profile from our cohort, we identified cell surface proteins (CSPs) associated with the SCCB phenotype. We found that the majority of SCCB samples have PD-L1 expression in both tumor cells and tumor-infiltrating lymphocytes, suggesting that immune checkpoint inhibitors could be a treatment option for SCCB. We further demonstrate that our genetically engineered tumor model is a representative tool for investigating CSPs in SCCB by showing that it shares a similar a CSP profile with clinical samples and expresses SCCB-up-regulated CSPs at both the mRNA and protein levels. Our findings reveal distinct molecular features of SCCB and provide a transcriptional dataset and a preclinical model for further investigating SCCB biology.

Full Text

Duke Authors

Cited Authors

  • Wang, L; Smith, BA; Balanis, NG; Tsai, BL; Nguyen, K; Cheng, MW; Obusan, MB; Esedebe, FN; Patel, SJ; Zhang, H; Clark, PM; Sisk, AE; Said, JW; Huang, J; Graeber, TG; Witte, ON; Chin, AI; Park, JW

Published Date

  • January 7, 2020

Published In

Volume / Issue

  • 117 / 1

Start / End Page

  • 563 - 572

PubMed ID

  • 31871155

Pubmed Central ID

  • PMC6955337

Electronic International Standard Serial Number (EISSN)

  • 1091-6490

Digital Object Identifier (DOI)

  • 10.1073/pnas.1915770117


  • eng

Conference Location

  • United States