Evidence map›Paper›PMID 42279284›Full record

ArticleCancers2026

The Precision Paradox in Prostate Cancer Diagnostics: Grade Migration, Risk Misclassification, and Overtreatment in the mpMRI-Targeted Biopsy Era.

Andrea Micillo, Simone Steffani, Luca Orecchia, Roberto Miano, Eric Walser, Guglielmo Manenti

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In one paragraph

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

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

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

6 authors.

Andrea MicilloDiagnostic Imaging Unit, Casa di Cura Villa Delle Querce, 00040 Nemi, Italy.
Simone SteffaniDiagnostic Imaging Department, AOU Policlinico Tor Vergata, 00133 Rome, Italy.
Luca OrecchiaDepartment of Surgical Sciences, University of Rome Tor Vergata, 00133 Rome, Italy.
Roberto MianoDepartment of Surgical Sciences, University of Rome Tor Vergata, 00133 Rome, Italy.
Eric WalserSperling Prostate Center, Delray Beach, FL 33445, USA.
Guglielmo ManentiDiagnostic Imaging Department, AOU Policlinico Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-7659-5392

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnostic field of prostate cancer (PCa) has undergone a significant evolution with the widespread integration of multiparametric magnetic resonance imaging (mpMRI) and mpMRI-targeted biopsies (TBx). This approach has been shown to improve the detection of clinically significant prostate cancer (csPCa) while reducing the overdiagnosis of low-risk disease. However, a conceptual and clinical challenge, which can be referred to as the "Precision Paradox," has emerged. By directing biopsy cores almost exclusively into the most suspicious MRI lesions, clinicians may inadvertently overrepresent the biological significance of a limited high-grade component. This can lead to grade migration and pathological downgrading at the time of radical prostatectomy (RP). Although downgrading does not automatically equate to clinical overtreatment, it introduces prognostic uncertainty that complicates risk stratification for active surveillance (AS) and focal therapy. This conceptual commentary provides a critical perspective on this diagnostic issue. We synthesize recent meta-analyses to evaluate the true rates of grade mismatch associated with TBx and combined biopsy approaches. Furthermore, we discuss the spatial limitations of biopsy sampling, the pathological mechanisms driving grade discordance, and the clinical relevance of minor high-grade components such as cribriform architecture. Finally, we highlight the role of multi-omics and validated genomic biomarkers in risk models, ultimately fostering improved shared decision-making in the modern mpMRI era.

Indexed as

focal therapygrade migrationmpMRIovertreatmentprecision paradoxprostate cancertargeted biopsy

Identifiers

PMID42279284
PMCPMC13255826

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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.