Evidence map›Paper›PMID 42022228›Full record

ArticleBJUI compass2026

Quantification of perineural invasion on prostate biopsy improves risk stratification in biopsy Grade Group 2-3 cancer.

Yuki Teramoto, Ying Wang, Hiroshi Miyamoto

Abstract read
In one paragraph

Article in BJUI compass, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yuki TeramotoDepartment of Pathology & Laboratory Medicine University of Rochester Medical Center Rochester New York USA.
Ying WangDepartment of Pathology & Laboratory Medicine University of Rochester Medical Center Rochester New York USA.
Hiroshi MiyamotoDepartment of Pathology & Laboratory Medicine University of Rochester Medical Center Rochester New York USA.ORCID https://orcid.org/0000-0001-7610-7769

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Perineural invasion (PNI) detected on prostate needle biopsy is a well-established indicator of adverse pathology, while the prognostic role of PNI quantification has recently been suggested. We herein aimed to determine whether PNI quantification could universally stratify risks by separately assessing subgroups of patients based on biopsy Grade Group (GG). Methods: We quantified actual PNI foci in the entire systematic sextant biopsy specimens from 840 men, including 580 (69.0%) exhibiting no PNI and evaluated long-term oncologic outcomes following radical prostatectomy. Results: PNI was detected in 1 (n = 177; 21.1%), 2 (n = 48; 5.7%) or 3-6 (n = 35; 4.2%) of 6 biopsy sites/parts, while 1 (n = 156; 18.6%), 2 (n = 53; 6.3%) or 3-10 (n = 51; 6.1%) PNI foci were present on each biopsy. In the entire cohort, we confirmed a significantly higher risk of biochemical recurrence in patients with PNI (vs. no PNI; Conclusion: Quantification of actual PNI foci across all systematic biopsy sites may provide valuable prognostic information, particularly in patients with GG2-3 cancer. Notably, the mere presence of biopsy PNI may not universally predict poorer outcomes.

Indexed as

needle biopsyperineural invasionprognosisprostate cancerradical prostatectomy

Identifiers

PMID42022228
PMCPMC13098363

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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.