Evidence map›Paper›PMID 36685547›Full record

ArticleFrontiers in immunology2022

Serum organic acid metabolites can be used as potential biomarkers to identify prostatitis, benign prostatic hyperplasia, and prostate cancer.

Jinhua He, Zeping Han, Wenfeng Luo, Jian Shen, Fangmei Xie, Liyin Liao, Ge Zou, Xin Luo, Zhonghui Guo, Yuguang Li and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.5field-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

13 citing papers in PubMed, 23 citations in OpenAlex.

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  4. Effects of Tumor-associatedArchives of Razi Institute · 2025
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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

12 authors at 2 institutions in 1 country.

Jinhua HeCentral Laboratory, Central Hospital of Panyu District, Guangzhou, China.
Zeping HanCentral Laboratory, Central Hospital of Panyu District, Guangzhou, China.
Wenfeng LuoCentral Laboratory, Central Hospital of Panyu District, Guangzhou, China.
Jian ShenCentral Laboratory, Central Hospital of Panyu District, Guangzhou, China.
Fangmei XieCentral Laboratory, Central Hospital of Panyu District, Guangzhou, China.
Liyin LiaoCentral Laboratory, Central Hospital of Panyu District, Guangzhou, China.
Ge ZouUrinary Surgery Department, Central Hospital of Panyu District, Guangzhou, China.
Xin LuoUrinary Surgery Department, Central Hospital of Panyu District, Guangzhou, China.
Zhonghui GuoHe Xian Memorial Hospital, Southern Medical University, Guangzhou, China.
Yuguang LiHe Xian Memorial Hospital, Southern Medical University, Guangzhou, China.
Jianhao LiInstitute of Cardiovascular Medicine, Central Hospital of Panyu District, Guangzhou, China.
Hanwei ChenCentral Laboratory, Central Hospital of Panyu District, Guangzhou, China.
Panyu District Central Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Noninvasive methods for the early identify diagnosis of prostatitis, benign prostatic hyperplasia (BPH), and prostate cancer (PCa) are current clinical challenges. Methods: The serum metabolites of 20 healthy individuals and patients with prostatitis, BPH, or PCa were identified using untargeted liquid chromatography-mass spectrometry (LC-MS). In addition, targeted LC-MS was used to verify the organic acid metabolites in the serum of a validation cohort. Results: Organic acid metabolites had good sensitivity and specificity in differentiating prostatitis, BPH, and PCa. Three diagnostic models identified patients with PROSTATITIS: phenyllactic acid (area under the curve [AUC]=0.773), pyroglutamic acid (AUC=0.725), and pantothenic acid (AUC=0.721). Three diagnostic models identified BPH: citric acid (AUC=0.859), malic acid (AUC=0.820), and D-glucuronic acid (AUC=0.810). Four diagnostic models identified PCa: 3-hydroxy-3-methylglutaric acid (AUC=0.804), citric acid (AUC=0.918), malic acid (AUC=0.862), and phenyllactic acid (AUC=0.713). Two diagnostic models distinguished BPH from PCa: phenyllactic acid (AUC=0.769) and pyroglutamic acid (AUC=0.761). Three diagnostic models distinguished benign BPH from PROSTATITIS: citric acid (AUC=0.842), ethylmalonic acid (AUC=0.814), and hippuric acid (AUC=0.733). Six diagnostic models distinguished BPH from prostatitis: citric acid (AUC=0.926), pyroglutamic acid (AUC=0.864), phenyllactic acid (AUC=0.850), ethylmalonic acid (AUC=0.843), 3-hydroxy-3-methylglutaric acid (AUC=0.817), and hippuric acid (AUC=0.791). Three diagnostic models distinguished PCa patients with PROSTATITISA < 4.0 ng/mL from those with PSA > 4.0 ng/mL: 5-hydromethyl-2-furoic acid (AUC=0.749), ethylmalonic acid (AUC=0.750), and pyroglutamic acid (AUC=0.929). Conclusions: These results suggest that serum organic acid metabolites can be used as biomarkers to differentiate prostatitis, BPH, and PCa.

Indexed as

Prostatic HyperplasiaProstatic NeoplasmsProstatitisBiomarkersHippuratesHumansLactatesMalatesMaleMalonatesMeglutolProstate-Specific AntigenPyrrolidonecarboxylic Acid3-phenyllactic acidBiomarkersethylmalonic acidHippurateshippuric acidLactatesMalatesmalic acidMalonatesMeglutolProstate-Specific AntigenPyrrolidonecarboxylic Acidbenign prostatic hyperplasiaLC-MSorganic acid metabolitesprostate cancerprostatitis

Identifiers

PMID36685547
PMCPMC9846500
OpenAlexW4313585127

What OpenQuestion holds

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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.