Abstract 1915: A plasma biomarker panel of microRNAs miR-133-3p and miR-153-3p for diagnosis of prostate cancer

Abstract Prostate cancer is highly prevalent and the second-leading cause of cancer-related death among men in the United States. Its incidence rate has been rising by 3% per year overall and by about 5% per year for advanced-stage disease. Current diagnostic methods, particularly the PSA test, remain controversial due to variable sensitivity and limited specificity, highlighting the need for more precise and minimally invasive diagnostic tools. MicroRNAs (miRNAs)—19-24-nucleotide, non-coding RNAs—have emerged as critical regulators of gene expression and are frequently deregulated in cancer. These miRNAs exhibit cancer-specific dysregulation, high sensitivity, and stability, positioning them as strong candidates for blood-based biomarkers in early cancer detection and prognosis. Using computational miRNA target prediction analysis, we identified several miRNAs—namely, miR-133a/b, miR-144, miR-153, and miR-590—that could serve as highly sensitive and specific biomarkers for early prostate cancer detection. Our bioinformatics analysis further revealed that these miRNAs regulate glutathione S-transferase P1 (GSTP1), a gene often epigenetically silenced in early prostate cancer stages, suggesting their potential diagnostic value. To evaluate this, we analyzed miRNA levels in 84 human plasma samples from 56 prostate cancer patients and 28 non-cancer individuals served as controls using quantitative real-time PCR. Sensitivity and specificity were assessed through Receiver Operating Characteristic (ROC) curve analysis. The expression of miR-133-3p and miR-153-3p were significantly elevated in the plasma of prostate cancer patients compared to the control group, with p-values of 0.021 and 0.0006, respectively. Binary logistic regression and ROC analyses comparing these miRNAs to PSA showed significantly higher sensitivity and specificity, with p-values of 0.0001 and 0.0003. This two-miRNA panel exhibited near-perfect diagnostic accuracy, with an area under the curve (AUC) ranging from 0.98 to 1.0. Compared with previously identified miRNA biomarkers, this 2-miRNA panel demonstrated greater diagnostic stability and superior performance across public dataset cohorts. Our findings suggest that miR-133-3p and miR-153-3p could serve as reliable blood-based biomarkers for diagnosis of prostate cancer. Their association with GSTP1—a gene implicated in early prostate cancer through epigenetic silencing—underscores their biological relevance to the disease. The high sensitivity and specificity of this panel represent a significant improvement over PSA-based screening and indicate its promise for clinical application in prostate cancer diagnostics. Overall, this study supports the development of miRNA-based diagnostic tests to enable earlier detection, reduce unnecessary treatments, and ultimately improve outcomes for prostate cancer patients. Citation Format: Shiv Verma, Cheryl L. Thompson, Pingfu Fu, Gregory T. MacLennan, Sanjay Gupta. A plasma biomarker panel of microRNAs miR-133-3p and miR-153-3p for diagnosis of prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 1915.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2025-04-21
DOI
https://doi.org/10.1158/1538-7445.am2025-1915
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 1915: A plasma biomarker panel of microRNAs miR-133-3p and miR-153-3p for diagnosis of prostate cancer

Gregory T. MacLennan, Sanjay Gupta, Pingfu Fu, Shiv Verma et al.
Cancer Research
Cancer-related molecular mechanisms research
article

Abstract 1915: A plasma biomarker panel of microRNAs miR-133-3p and miR-153-3p for diagnosis of prostate cancer

Gregory T. MacLennan, Sanjay Gupta, Pingfu Fu, Shiv Verma, Cheryl L. Thompson
article en

Abstract

Abstract Prostate cancer is highly prevalent and the second-leading cause of cancer-related death among men in the United States. Its incidence rate has been rising by 3% per year overall and by about 5% per year for advanced-stage disease. Current diagnostic methods, particularly the PSA test, remain controversial due to variable sensitivity and limited specificity, highlighting the need for more precise and minimally invasive diagnostic tools. MicroRNAs (miRNAs)—19-24-nucleotide, non-coding RNAs—have emerged as critical regulators of gene expression and are frequently deregulated in cancer. These miRNAs exhibit cancer-specific dysregulation, high sensitivity, and stability, positioning them as strong candidates for blood-based biomarkers in early cancer detection and prognosis. Using computational miRNA target prediction analysis, we identified several miRNAs—namely, miR-133a/b, miR-144, miR-153, and miR-590—that could serve as highly sensitive and specific biomarkers for early prostate cancer detection. Our bioinformatics analysis further revealed that these miRNAs regulate glutathione S-transferase P1 (GSTP1), a gene often epigenetically silenced in early prostate cancer stages, suggesting their potential diagnostic value. To evaluate this, we analyzed miRNA levels in 84 human plasma samples from 56 prostate cancer patients and 28 non-cancer individuals served as controls using quantitative real-time PCR. Sensitivity and specificity were assessed through Receiver Operating Characteristic (ROC) curve analysis. The expression of miR-133-3p and miR-153-3p were significantly elevated in the plasma of prostate cancer patients compared to the control group, with p-values of 0.021 and 0.0006, respectively. Binary logistic regression and ROC analyses comparing these miRNAs to PSA showed significantly higher sensitivity and specificity, with p-values of 0.0001 and 0.0003. This two-miRNA panel exhibited near-perfect diagnostic accuracy, with an area under the curve (AUC) ranging from 0.98 to 1.0. Compared with previously identified miRNA biomarkers, this 2-miRNA panel demonstrated greater diagnostic stability and superior performance across public dataset cohorts. Our findings suggest that miR-133-3p and miR-153-3p could serve as reliable blood-based biomarkers for diagnosis of prostate cancer. Their association with GSTP1—a gene implicated in early prostate cancer through epigenetic silencing—underscores their biological relevance to the disease. The high sensitivity and specificity of this panel represent a significant improvement over PSA-based screening and indicate its promise for clinical application in prostate cancer diagnostics. Overall, this study supports the development of miRNA-based diagnostic tests to enable earlier detection, reduce unnecessary treatments, and ultimately improve outcomes for prostate cancer patients. Citation Format: Shiv Verma, Cheryl L. Thompson, Pingfu Fu, Gregory T. MacLennan, Sanjay Gupta. A plasma biomarker panel of microRNAs miR-133-3p and miR-153-3p for diagnosis of prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 1915.

Cancer ResearchVol. 85(8_Supplement_1)
University School (US), Case Western Reserve University (US)
Openalex Percentile: Top 91%
Cancer-related molecular mechanisms research
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.