Evidence map›Paper›PMID 42489928›Full record

ReviewCancer metastasis reviews2026

Towards implementation of precision medicine biomarkers in early detection and prognostication of prostate cancer.

Angela Yee, Jim Smith, Rajiv Kumar, Akash Sali, Euan J Rodger, Aniruddha Chatterjee

Abstract readReview
In one paragraph

Review in Cancer metastasis reviews, 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.

Angela YeeDepartment of Pathology and Molecular Medicine, Faculty of Medicine, University of Otago, Dunedin, New Zealand.ORCID http://orcid.org/0009-0001-5118-5469
Jim SmithDepartment of Pathology and Molecular Medicine, Faculty of Medicine, University of Otago, Dunedin, New Zealand.ORCID http://orcid.org/0000-0002-7037-7378
Rajiv KumarDepartment of Pathology and Molecular Medicine, Faculty of Medicine, University of Otago, Dunedin, New Zealand.ORCID http://orcid.org/0000-0002-9809-3203
Akash SaliDepartment of Pathology and Molecular Medicine, Faculty of Medicine, University of Otago, Dunedin, New Zealand.ORCID http://orcid.org/0000-0003-1404-7347
Euan J RodgerDepartment of Pathology and Molecular Medicine, Faculty of Medicine, University of Otago, Dunedin, New Zealand.ORCID http://orcid.org/0000-0002-9615-5896
Aniruddha ChatterjeeDepartment of Pathology and Molecular Medicine, Faculty of Medicine, University of Otago, Dunedin, New Zealand. aniruddha.chatterjee@otago.ac.nz.ORCID http://orcid.org/0000-0001-7276-2248

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer is the second-highest cause of cancer-related incidence and the fifth-highest cause of cancer mortality in males. Prostate cancer is a heterogeneous disease with a wide spectrum of clinical behaviour, ranging from indolent to highly aggressive. Molecular approaches, such as genomic testing, can augment existing clinical risk stratifications and tailor management to the individual. Genomic tests that sample biopsy or surgical tissue can provide a molecular risk assessment and identify actionable therapy targets. Liquid biopsy, while still emerging, may provide a non-invasive alternative to tissue tests and enable longitudinal monitoring of tumour status. We first discuss the molecular landscape of prostate cancer, before providing a detailed overview of the molecular approaches available for early detection and prognostication. Furthermore, methodological considerations and barriers towards clinical implementation for these tests are discussed, highlighting areas of future research.

Indexed as

Biomarkers, TumorEarly Detection of CancerPrecision MedicineProstatic NeoplasmsHumansLiquid BiopsyMalePrognosisBiomarkers, TumorBiomarkersGenomic testingLiquid biopsyNext-generation sequencingPrecision medicineProstate cancer

Identifiers

PMID42489928
PMCPMC13395839

What Socratic holds

Textmetadata
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 Socratic graph.