Characterisation of the tumour microenvironment and PD-L1 granularity reveals the prognostic value of cancer-associated myofibroblasts in non-invasive bladder cancer
2024

Prognostic Value of Myofibroblasts in Non-Invasive Bladder Cancer

Sample size: 73 publication Evidence: high

Author Information

Author(s): C. G. Cañizo, F. Guerrero-Ramos, M. Perez Escavy, I. Lodewijk, C. Suárez-Cabrera, L. Morales, S. P. Nunes, E. Munera-Maravilla, C. Rubio, R. Sánchez, M. Rodriguez-Izquierdo, J. M. Martínez de Villarreal, F. X. Real, D. Castellano, C. Martín-Arriscado, D. Lora Pablos, A. Rodríguez Antolín, M. Dueñas, J. M. Paramio, V. G. Martínez

Primary Institution: University Hospital ‘12 de Octubre’, Madrid, Spain

Hypothesis

A better characterization of the tumor microenvironment composition and PD-L1 expression in NMIBC may help understand tumor biology and find new prognostic biomarkers.

Conclusion

The study highlights myoCAFs as potential prognostic markers in non-invasive bladder cancer.

Supporting Evidence

  • MyoCAFs were associated with higher rates of progression and recurrence in three independent cohorts.
  • The study provides a roadmap to establish the landscape of the NMIBC tumor microenvironment.
  • High myoCAF abundance correlated with aggressive transcriptomic classes in multiple cohorts.
  • Univariate Cox regression showed myoCAF category and score as strong predictors of progression-free and recurrence-free survival.

Takeaway

This study looked at how certain cells in bladder cancer can help predict if the cancer will come back or get worse.

Methodology

The study analyzed tumor and non-tumoral tissue biopsies from 73 NMIBC patients using scRNA-seq, transcriptomic cohorts, and tissue micro-array.

Limitations

The study was limited by the sample size and the use of only one marker to identify cell types.

Participant Demographics

Patients diagnosed with high-risk non-muscle-invasive bladder cancer, with a focus on high-grade tumors.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1080/2162402X.2024.2438291

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication