Evidence map›Paper›PMID 40909311›Full record

ArticleIJU case reports2025

TMB-High, MSI-High Castration-Resistant Prostate Cancer Treated With Pembrolizumab.

Satoshi Muraoka, Hisanobu Tosuji, Yuya Iwahashi, Hiroki Kawabata, Ryusuke Deguchi, Takahito Wakamiya, Shimpei Yamashita, Yasuo Kohjimoto, Isao Hara

Abstract read
In one paragraph

Article in IJU case reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Satoshi MuraokaDepartment of Urology Wakayama Medical University Wakayama City Japan.ORCID https://orcid.org/0009-0002-4312-1147
Hisanobu TosujiDepartment of Urology Wakayama Medical University Wakayama City Japan.
Yuya IwahashiDepartment of Urology Wakayama Medical University Wakayama City Japan.
Hiroki KawabataDepartment of Urology Wakayama Medical University Wakayama City Japan.
Ryusuke DeguchiDepartment of Urology Wakayama Medical University Wakayama City Japan.
Takahito WakamiyaDepartment of Urology Wakayama Medical University Wakayama City Japan.
Shimpei YamashitaDepartment of Urology Wakayama Medical University Wakayama City Japan.ORCID https://orcid.org/0000-0001-7402-6164
Yasuo KohjimotoDepartment of Urology Wakayama Medical University Wakayama City Japan.
Isao HaraDepartment of Urology Wakayama Medical University Wakayama City Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The use of pembrolizumab in patients with microsatellite instability-high (MSI-high) and tumor mutation burden-high (TMB-high) prostate cancer in Japan is not widely reported. Here, we report the case of a patient with MSI-high and TMB-high prostate cancer who responded well to pembrolizumab after multiple systemic treatments. Case Presentation: A 68-year-old Japanese man was diagnosed with cT4N1M1a prostate cancer. He was treated with several androgen receptor signaling inhibitors and chemotherapy. After intense systemic treatment, disease progression was confirmed, and genomic testing detected MSI-high and TMB-high. However, treatment with pembrolizumab resulted in marked prostate-specific antigen reduction and significant shrinkage of metastases. Conclusion: Genomic tests should be considered for high-grade tumors. MSI-high and TMB-high prostate cancer responded well to pembrolizumab in this case, but patients should be carefully monitored for the development of side effects after administration of pembrolizumab.

Indexed as

microsatellite instability‐highpembrolizumabprostate cancertumor mutation burden‐high

Identifiers

PMID40909311
PMCPMC12408169

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Registered trials

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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.