Immune Checkpoint Inhibitors for the Treatment of Bladder Cancer

Antonio Lopez-Beltran1, Alessia Cimadamore2, Ana Blanca3

  • 1Unit of Anatomic Pathology, Department of Morphological Sciences, Cordoba University Medical School, 14004 Cordoba, Spain.

Cancers
|January 6, 2021
PubMed

Insights

Immune checkpoint inhibitors (ICIs) show promise for metastatic urothelial carcinoma (mUC), with PD-L1 expression aiding treatment selection. Ongoing research explores ICIs in various settings and combinations for better patient outcomes.

Area of Science:

  • Oncology
  • Immunotherapy
  • Urothelial Carcinoma Research

Background:

  • Immune checkpoint inhibitors (ICIs) are approved for metastatic urothelial carcinoma (mUC), offering treatment options for cisplatin-ineligible or second-line patients.
  • Approximately 30% of mUC patients respond to ICI immunotherapy, with PD-L1 expression by immunohistochemistry emerging as a potential predictive biomarker.
  • Several anti-PD-1 (Pembrolizumab, Nivolumab) and anti-PD-L1 (Atezolizumab, Durvalumab, Avelumab) antibodies have demonstrated efficacy, including improved overall survival (OS) and durable responses.

Purpose of the Study:

  • To review clinical trial results of ICIs in mUC, focusing on monotherapy, combination therapy, and neoadjuvant/adjuvant settings.
  • To examine the role of biomarkers, including PD-L1 expression, in predicting response to ICIs in mUC.
  • To provide an overview of the current landscape and future directions for ICI therapy in mUC.

Main Methods:

  • Review of clinical trial data for ICIs in mUC.
  • Analysis of objective response rates (ORR) and overall survival (OS) associated with ICI treatment.
  • Evaluation of biomarkers, particularly PD-L1 immunohistochemistry, for treatment selection.

Main Results:

  • ICIs have shown significant efficacy in mUC, with some patients achieving durable responses exceeding one year.
  • Pembrolizumab and Nivolumab (anti-PD-1) and Atezolizumab, Durvalumab, Avelumab (anti-PD-L1) are approved for specific mUC treatment lines.
  • PD-L1 expression is a key biomarker, though further research is needed for optimal biomarker-guided therapy.

Conclusions:

  • ICIs represent a significant advancement in mUC treatment, offering survival benefits for a subset of patients.
  • The identification and validation of robust biomarkers are crucial for optimizing ICI therapy selection in mUC.
  • Ongoing trials investigating ICIs in combination or in earlier disease settings hold promise for improving outcomes in mUC.

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