Evidence map›Paper›PMID 39525979›Full record

ArticleEuropean urology open science2024

Elevated Levels of Serum Thymidine Kinase 1 Predict Poor Survival for Patients with Metastatic Prostate Cancer.

Teemu J Murtola, Aino Siltari, Paavo Raittinen, Teuvo L J Tammela, Stig Linder, Anita Csizmarik, Gero Kramer, Tibor Szarvas

Abstract read
In one paragraph

Article in European urology open science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Teemu J MurtolaFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Aino SiltariFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Paavo RaittinenDepartment of Mathematics and Systems Analysis, Aalto University, Helsinki, Finland.
Teuvo L J TammelaFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Stig LinderBiomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Anita CsizmarikDepartment of Urology, Semmelweis University, Budapest, Hungary.
Gero KramerDepartment of Urology, Medical University of Vienna, Vienna, Austria.
Tibor SzarvasDepartment of Urology, Semmelweis University, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Prostate-specific antigen (PSA) is of limited value as a surrogate marker for overall survival (OS) in prostate cancer (PC). Serum thymidine kinase 1 (sTK1) is an enzyme expressed by actively dividing cells. Our aim was to evaluate the value of sTK1 as prognostic biomarker in metastatic hormone-sensitive PC (mHSPC) and metastatic castration-resistant PC (mCRPC). Methods: sTK1 was examined in three cohorts: (1) 43 men with de novo mHSPC managed with androgen deprivation monotherapy; (2) 99 patients with mCRPC managed with androgen receptor signaling inhibitors (ARSIs); and (3) 98 patients with mCRPC treated with docetaxel. sTK1 levels were determined at treatment initiation. OS was evaluated using Cox regression analysis. Key findings and limitations: In the mHSPC cohort, sTK1 levels in the highest quartile were associated with OS (hazard ratio [HR] 7.77, 95% confidence interval [CI] 2.25-26.9) in comparison to the lowest quartile after multivariable adjustment for age, Gleason score, and PSA. Similarly, sTKI was associated with poor OS in the mCRPC group treated with ARSIs (upper quartile: HR 5.22, 95% CI 2.23-12.2) after multivariable adjustment for age, PSA, and Eastern Cooperative Oncology Group performance status. In the docetaxel-treated mCRPC group the association between OS and sTK1 was lower but still significant (multivariable-adjusted HR 2.28, 95% CI 1.13-4.60). Limitations include the nonrandomized inclusion of patients for different treatments, which could lead to selection bias. Conclusions and clinical implications: sTK1 predicted OS in mHSPC and mCRPC, demonstrating additional value over established clinical risk factors. sTK1 should be measured in randomized clinical trials of treatments for advanced PC to validate its predictive value. Patient summary: We found that for patients with metastatic prostate cancer, high levels of a protein called TK1 that is involved in cell division was linked to higher risk of death. Our findings need to be confirmed in other studies.

Indexed as

AntiandrogenDocetaxelProstate cancerSurvivalThymidine kinase 1Treatment prediction

Identifiers

PMID39525979
PMCPMC11547961

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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.