Evidence map›Paper›PMID 34106707›Full record

ArticleJournal of proteome research2021

Development of Parallel Reaction Monitoring Assays for the Detection of Aggressive Prostate Cancer Using Urinary Glycoproteins.

Mingming Dong, Tung-Shing Mamie Lih, Naseruddin Höti, Shao-Yung Chen, Sean Ponce, Alan Partin, Hui Zhang

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
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

12 citing papers in PubMed, 23 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Mingming DongDepartment of Pathology, School of Medicine, Johns Hopkins University, 400 N. Broadway Street, Smith Building, Room 4011, Baltimore, Maryland 21231, United States.ORCID 0000-0002-0770-7880
Tung-Shing Mamie LihDepartment of Pathology, School of Medicine, Johns Hopkins University, 400 N. Broadway Street, Smith Building, Room 4011, Baltimore, Maryland 21231, United States.
Naseruddin HötiDepartment of Pathology, School of Medicine, Johns Hopkins University, 400 N. Broadway Street, Smith Building, Room 4011, Baltimore, Maryland 21231, United States.
Shao-Yung ChenDepartment of Pathology, School of Medicine, Johns Hopkins University, 400 N. Broadway Street, Smith Building, Room 4011, Baltimore, Maryland 21231, United States.
Sean PonceDepartment of Pathology, School of Medicine, Johns Hopkins University, 400 N. Broadway Street, Smith Building, Room 4011, Baltimore, Maryland 21231, United States.
Alan PartinThe Brady Urological Institute, The Johns Hopkins School of Medicine, Baltimore, Maryland 21287, United States.
Hui ZhangDepartment of Pathology, School of Medicine, Johns Hopkins University, 400 N. Broadway Street, Smith Building, Room 4011, Baltimore, Maryland 21231, United States.ORCID 0000-0001-8726-7098
Johns Hopkins University · US

Funding

Glycoprotein biomarkers for the early detection of aggressive prostate cancerU01CA152813 · NCI · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2010 to 2021
$6.2M
NCI NIH HHS U01 CA152813
6 · The paper itself

Abstract

Recently, we have found that two urinary glycoproteins, prostatic acid phosphatase (ACPP) and clusterin (CLU), combined with serum prostate-specific antigen (PSA) can serve as a three-signature panel for detecting aggressive prostate cancer (PCa) based on a quantitative glycoproteomic study. To facilitate the translation of candidates into clinically applicable tests, robust and accurate targeted parallel reaction monitoring (PRM) assays that can be widely adopted in multiple labs were developed in this study. The developed PRM assays for the urinary glycopeptides, FLN*ESYK from ACPP and EDALN*ETR from CLU, demonstrated good repeatability and a sufficient working range covering three to four orders of magnitude, and their performance in differentiating aggressive PCa was assessed by the quantitative analysis of urine specimens collected from 69 nonaggressive (Gleason score = 6) and 73 aggressive (Gleason ≥ 8) PCa patients. When ACPP combined with CLU, the discrimination power was improved from an area under a curve (AUC) of 0.66 to 0.78. By combining ACPP, CLU, and serum PSA to form a three-signature panel, the AUC was further improved to 0.83 (sensitivity: 84.9%, specificity: 66.7%). Since the serum PSA test alone had an AUC of 0.68, our results demonstrated that the new urinary glycopeptide PRM assays can serve as an adjunct to the serum PSA test to achieve better predictive power toward aggressive PCa. In summary, our developed PRM assays for urinary glycopeptides were successfully applied to clinical PCa urine samples with a promising performance in aggressive PCa detection.

Indexed as

Prostate-Specific AntigenProstatic NeoplasmsAcid PhosphataseBiomarkers, TumorClusterinGlycoproteinsHumansMaleAcid PhosphataseBiomarkers, TumorCLU protein, humanClusterinGlycoproteinsProstate-Specific Antigenprostatic acid phosphataseaggressive prostate cancerglycoproteomicsmass spectrometryparallel reaction monitoringurinary biomarkers

Identifiers

PMID34106707
PMCPMC8631583
OpenAlexW3173140865

What Socratic holds

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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.