Research progress in augmentation strategies for PD-1/PD-L1 inhibitors in bladder cancer: from biological determinants to clinical applications

PD-1/PD-L1 immune checkpoint inhibitors (ICIs) have demonstrated significant clinical efficacy in the treatment of bladder cancer. However, heterogeneous patient responses continue to limit the widespread adoption and overall effectiveness of these therapies. Consequently, identifying strategies to enhance treatment response has become a primary focus of current oncological research. This review summarizes the biological determinants of immune response in bladder cancer, including sex, gut microbiota, molecular subtypes, and the tumor microenvironment (TME). Furthermore, we evaluate key predictive biomarkers for ICI response, such as PD-L1 expression, tumor mutational burden (TMB), and circulating tumor DNA (ctDNA). Synergistic combination strategies-incorporating chemotherapy, radiotherapy, targeted therapy, and nanomedicine-are also detailed to provide novel insights into bladder cancer immunotherapy. Ultimately, the systematic elucidation of immune response mechanisms combined with technological innovation will facilitate the optimization of therapeutic strategies, leading to improved clinical outcomes for patients.

Authors

Institutions

Publication Details

Journal
Frontiers in Immunology
Published
2026-04-17
DOI
https://doi.org/10.3389/fimmu.2026.1802404
Primary Topic
Bladder and Urothelial Cancer Treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research progress in augmentation strategies for PD-1/PD-L1 inhibitors in bladder cancer: from biological determinants to clinical applications

Guanjun Chen, Ke Cao, Wenzhi Deng, Yunqing Liu et al.
Frontiers in Immunology
Bladder and Urothelial Cancer Treatments
article

Research progress in augmentation strategies for PD-1/PD-L1 inhibitors in bladder cancer: from biological determinants to clinical applications

Guanjun Chen, Ke Cao, Wenzhi Deng, Yunqing Liu, Yaxin Cheng
article en

Abstract

PD-1/PD-L1 immune checkpoint inhibitors (ICIs) have demonstrated significant clinical efficacy in the treatment of bladder cancer. However, heterogeneous patient responses continue to limit the widespread adoption and overall effectiveness of these therapies. Consequently, identifying strategies to enhance treatment response has become a primary focus of current oncological research. This review summarizes the biological determinants of immune response in bladder cancer, including sex, gut microbiota, molecular subtypes, and the tumor microenvironment (TME). Furthermore, we evaluate key predictive biomarkers for ICI response, such as PD-L1 expression, tumor mutational burden (TMB), and circulating tumor DNA (ctDNA). Synergistic combination strategies-incorporating chemotherapy, radiotherapy, targeted therapy, and nanomedicine-are also detailed to provide novel insights into bladder cancer immunotherapy. Ultimately, the systematic elucidation of immune response mechanisms combined with technological innovation will facilitate the optimization of therapeutic strategies, leading to improved clinical outcomes for patients.

Frontiers in ImmunologyVol. 17
Central South University (CN), Third Xiangya Hospital (CN)
Innovative Research Group Project of the National Natural Science Foundation of China, National Natural Science Foundation of China, Central South University, Xiangya Hospital, Central South University
Industry, innovation and infrastructure
Openalex Percentile: Top 23%
Bladder and Urothelial Cancer Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.