Evidence map›Paper›PMID 42837038›Full record

ReviewMedical oncology (Northwood, London, England)2026

Recent advances in discriminating prostate cancer from benign prostatic diseases in the pre-biopsy population.

Zijie Nie, Tianyi Zhu, Yichu Chen, Wei Zhang, Lingling Wu

Abstract readReview
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In one paragraph

Review in Medical oncology (Northwood, London, England), 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
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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.

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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

5 authors.

Zijie Nie *Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tianyi Zhu *Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yichu Chen *Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wei ZhangDepartment of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lingling WuInstitute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Dongfang Road No.1630, 200127, Shanghai, China. llwu@shsmu.edu.cn.ORCID http://orcid.org/0000-0001-8738-0357

Funding

Shanghai Rising-Star Program 23QA1408200
6 · The paper itself

Abstract

Prostate cancer (PCa) remains one of the most prevalent malignancies and a major cause of cancer-related deaths among men worldwide. Current pre-biopsy evaluation relies primarily on serum prostate-specific antigen (PSA) testing and multiparametric MRI (mpMRI), but both approaches have limited specificity, particularly in the diagnostic gray zone (PSA 4-10 ng/mL and/or equivocal MRI findings such as Prostate Imaging Reporting and Data System (PI-RADS) category 3 lesions). In this setting, overlap between PCa and benign prostatic diseases frequently leads to unnecessary biopsies. This unmet clinical need has driven the development of novel diagnostic strategies designed to better discriminate PCa from benign prostatic diseases before biopsy. In this review, we provide a comprehensive overview of recent advances in non-invasive diagnostic strategies, including liquid-based molecular biomarkers, advanced imaging modalities, and multimodal integrative frameworks. These advances may improve diagnostic accuracy, reduce unnecessary biopsies, and support personalized risk stratification and biopsy decision-making. Moreover, we highlight the paradigm shift from single-parameter screening to multimodal integration, including artificial intelligence-based approaches in early PCa screening. Overall, these non-invasive strategies may help reduce diagnostic uncertainty in the gray zone and support more precise and personalized biopsy decision-making.

Indexed as

Prostatic DiseasesProstatic NeoplasmsBiomarkers, TumorBiopsyDiagnosis, DifferentialHumansMaleMultiparametric Magnetic Resonance ImagingBiomarkers, TumorArtificial intelligenceBiomarkersMultimodal fusionMultiparametric MRIPre-biopsy risk stratificationProstate cancer

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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.