Evidence map›Paper›PMID 41152311›Full record

ArticleScientific reports2025

Investigation of importance Raman shifts in liquid biopsy diagnostics of prostate cancer.

Przemysław Mitura, Wiesław Paja, Paweł Płaza, Radosław Starownik, Iga Kuliniec, Michał Godzisz, Krzysztof Bar, Joanna Depciuch

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific 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

8 authors.

Przemysław MituraDepartment of Urology and Oncological Urology, Medical University of Lublin, Jaczewskiego 8, 20-954, Lublin, Poland. przemyslaw.mitura@umlub.edu.pl.
Wiesław PajaDepartment of Artificial Intelligence, Institute of Computer Science, University of Rzeszow, Pigonia 1, 35-310, Rzeszów, Poland.
Paweł PłazaDepartment of Urology and Oncological Urology, Medical University of Lublin, Jaczewskiego 8, 20-954, Lublin, Poland.
Radosław StarownikDepartment of Urology and Oncological Urology, Medical University of Lublin, Jaczewskiego 8, 20-954, Lublin, Poland.
Iga KuliniecDepartment of Urology and Oncological Urology, Medical University of Lublin, Jaczewskiego 8, 20-954, Lublin, Poland.
Michał GodziszDepartment of Urology and Oncological Urology, Medical University of Lublin, Jaczewskiego 8, 20-954, Lublin, Poland.
Krzysztof BarDepartment of Urology and Oncological Urology, Medical University of Lublin, Jaczewskiego 8, 20-954, Lublin, Poland.
Joanna DepciuchInstitute of Nuclear Physics, Polish Academy of Sciences, Walerego Eljasza - Radzikowskiego 152, 31-342, Kraków, Poland. joanna.depciuch@ifj.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the potential of Raman spectroscopy for liquid biopsy in prostate cancer using serum samples. We evaluated four machine learning models and Principal Component Analysis (PCA) to classify prostate cancer based on Raman data. Support Vector Machine (SVM) demonstrated the best performance, achieving high accuracy, sensitivity, and F1 scores, with the highest overall. Random Forest (RF) also showed strong results, with accuracy of 0.87. The analysis identified two key spectral bands: 1306 cm

Indexed as

Prostatic NeoplasmsSpectrum Analysis, RamanAgedBiomarkers, TumorHumansLiquid BiopsyMaleMiddle AgedPrincipal Component AnalysisProstate-Specific AntigenSupport Vector MachineBiomarkers, TumorProstate-Specific AntigenMarkerProstate cancerRaman spectroscopySerum

Identifiers

PMID41152311
PMCPMC12569163

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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.