Evidence map›Paper›PMID 40693234›Full record

ReviewJournal of the National Cancer Center2025

The role of exosomes in bladder cancer immunotherapy.

Mohammad Mousaei Ghasroldasht, Piyush K Agarwal

Abstract readReview
In one paragraph

Review in Journal of the National Cancer Center, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. 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

2 authors.

Mohammad Mousaei GhasroldashtDepartment of Surgery, Section of Urology, University of Chicago, Chicago, IL, United States.
Piyush K AgarwalDepartment of Surgery, Section of Urology, University of Chicago, Chicago, IL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer remains a significant global health challenge, requiring repeated treatments and surveillance and potentially morbid therapies, particularly in advanced and recurrent stages. Exosomes, small extracellular vesicles central to intercellular communication, have emerged as innovative tools in cancer diagnostics, prognosis, and therapy. Their role in modulating the immune response and the tumor microenvironment makes them particularly attractive for cancer immunotherapy. This review provides a comprehensive overview of exosome biology, with a focus on their role in immune modulation and potential therapeutic applications. We explore the progress and challenges of exosome-based immunotherapy in cancer, followed by a discussion on the current state of bladder cancer immunotherapy. Additionally, we highlight the roles of exosomes in bladder cancer, emphasizing their diagnostic and prognostic applications. Despite promising preclinical studies and a growing number of clinical trials in other cancers, exosome-based therapies remain underexplored in bladder cancer. We discuss the current clinical trials related to exosomes in bladder cancer and propose their potential future role in immunotherapy. Finally, we address the challenges and opportunities in translating exosome-based therapies from bench to bedside, emphasizing the need for further preclinical and clinical investigations. This review emphasized the potential of exosome-based immunotherapy as a transformative approach for bladder cancer diagnosis and treatment.

Indexed as

Bladder cancerCancer immunotherapyExosomeExosome based immunotherapy

Identifiers

PMID40693234
PMCPMC12276559

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.