Evaluation of thymidine kinase 1 and folate receptor alpha as potential biomarkers in prostate cancer

Prostate cancer is a widespread malignancy with high mortality rates. Therapeutic success depends on clinical biomarkers for early detection and progression of the disease. The study aimed to assess the potential role of Thymidine Kinase one (TK1) and folate receptor alpha (FORα) in prostate cancer. Forty-five newly diagnosed prostate cancer patients, and 45 age matched apparently healthy males were included. Serum levels of TK1 and FORα were measured using enzyme-linked immunosorbent assay (ELISA) technique. TK1 and FORα were significantly increased in prostate cancer patients compared to the control group (mean 28.11pg/ml vs. 15.66 pg/ml, p-value < 0.001) and (median 1686.4 pg/ml vs. 437.2 pg/ml, p-value < 0.001) respectively. At a cutoff level ˃22.1 pg/ml, TK1 showed 91.11% sensitivity, 88.89% specificity and AUC = 0.973 (95% CI: 0.945-0.999). FORα showed moderate discriminatory power with 73.33% sensitivity and 88.89% specificity, AUC was 0.770 (95% CI: 0.661-0.879) at cutoff level ˃918.16 pg/ml. Combining TK1 with total PSA markedly improved the diagnostic accuracy (sensitivity 95.56%, specificity 97.78%). TK1 showed significant positive correlation with Gleason score, WHO grade and presence of metastasis at p < 0.001 each. TK1 & FORα could serve as biomarkers for prostate cancer diagnosis and prognosis offering a novel treatment approach.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-08-19
DOI
https://doi.org/10.1038/s41598-025-15375-0
Citations
1
Primary Topic
Prostate Cancer Treatment and Research
Type
article
Field-Weighted Citation Impact
1.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of thymidine kinase 1 and folate receptor alpha as potential biomarkers in prostate cancer

Sarah Ahmed, H Farid, Ghada Elnaggar, Abeer Mohamed Mohy
1 citations
Scientific Reports
Prostate Cancer Treatment and Research
1.52
article

Evaluation of thymidine kinase 1 and folate receptor alpha as potential biomarkers in prostate cancer

Sarah Ahmed, H Farid, Ghada Elnaggar, Abeer Mohamed Mohy
article en
1 citations

Abstract

Prostate cancer is a widespread malignancy with high mortality rates. Therapeutic success depends on clinical biomarkers for early detection and progression of the disease. The study aimed to assess the potential role of Thymidine Kinase one (TK1) and folate receptor alpha (FORα) in prostate cancer. Forty-five newly diagnosed prostate cancer patients, and 45 age matched apparently healthy males were included. Serum levels of TK1 and FORα were measured using enzyme-linked immunosorbent assay (ELISA) technique. TK1 and FORα were significantly increased in prostate cancer patients compared to the control group (mean 28.11pg/ml vs. 15.66 pg/ml, p-value < 0.001) and (median 1686.4 pg/ml vs. 437.2 pg/ml, p-value < 0.001) respectively. At a cutoff level ˃22.1 pg/ml, TK1 showed 91.11% sensitivity, 88.89% specificity and AUC = 0.973 (95% CI: 0.945-0.999). FORα showed moderate discriminatory power with 73.33% sensitivity and 88.89% specificity, AUC was 0.770 (95% CI: 0.661-0.879) at cutoff level ˃918.16 pg/ml. Combining TK1 with total PSA markedly improved the diagnostic accuracy (sensitivity 95.56%, specificity 97.78%). TK1 showed significant positive correlation with Gleason score, WHO grade and presence of metastasis at p < 0.001 each. TK1 & FORα could serve as biomarkers for prostate cancer diagnosis and prognosis offering a novel treatment approach.

Scientific ReportsVol. 15(1)
Cairo University (EG), National Water Research Center (EG)
Cairo University
Openalex Percentile: Top 15%
Prostate Cancer Treatment and Research
1.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.