Evidence map›Paper›PMID 42079635›Full record

ReviewFrontiers in immunology2026

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

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

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yaxin Cheng *Department of Oncology, Third Xiangya Hospital of Central South University, Hunan, Changsha, China.
Wenzhi Deng *Department of Pathology, Third Xiangya Hospital of Central South University, Hunan, Changsha, China.
Yunqing LiuDepartment of Oncology, Third Xiangya Hospital of Central South University, Hunan, Changsha, China.
Guanjun ChenDepartment of Oncology, Third Xiangya Hospital of Central South University, Hunan, Changsha, China.
Ke CaoDepartment of Oncology, Third Xiangya Hospital of Central South University, Hunan, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

B7-H1 AntigenImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorUrinary Bladder NeoplasmsAnimalsBiomarkers, TumorHumansImmunotherapyTumor MicroenvironmentB7-H1 AntigenBiomarkers, TumorCD274 protein, humanImmune Checkpoint InhibitorsPDCD1 protein, humanProgrammed Cell Death 1 Receptorbiomarkersbladder cancercombination strategiesPD-1/PD-L1 inhibitorstumor microenvironment

Identifiers

PMID42079635
PMCPMC13133046

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.