Evidence map›Paper›PMID 32967667›Full record

ArticleBMC medical informatics and decision making2020

Identification of plasma lipid species as promising diagnostic markers for prostate cancer.

Xiaoli Chen, Yong Zhu, Mayumi Jijiwa, Masaki Nasu, Junmei Ai, Shengming Dai, Bin Jiang, Jicai Zhang, Gang Huang, Youping Deng

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2020. 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
1.1field-weighted citation impact, top 25% 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, 20 citations in OpenAlex.

  1. Article
  2. Lipids: Driving Forces in the Underlying Biology of Carcinogenesis.ACS pharmacology & translational science · 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

10 authors at 5 institutions in 2 countries.

Xiaoli ChenMedical Science Laboratory, the Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, Guangxi, China.
Yong ZhuDepartment of Medicine, Rush University Medical Center, Chicago, IL, USA.
Mayumi JijiwaBioinformatics Core, Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA. jijiwa@hawaii.edu.ORCID 0000-0003-1596-856X
Masaki NasuBioinformatics Core, Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA.
Junmei AiDepartment of Medicine, Rush University Medical Center, Chicago, IL, USA.
Shengming DaiMedical Science Laboratory, the Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, Guangxi, China.
Bin JiangNational Medical Centre of Colorectal Disease, The Third Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, P. R. China. jbfirsth@aliyun.com.
Jicai ZhangDepartment of Laboratory Medicine, Shiyan Taihe Hospital, College of Biomedical Engineering, Hubei University of Medicine, Shiyan, Hubei, 442000, P. R. China. jicaizhang@taihehospital.com.
Gang HuangShanghai Key Laboratory for Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, P. R. China. huangg@sumhs.edu.cn.
Youping DengBioinformatics Core, Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA. dengy@hawaii.edu.
University of Hawaiʻi at Mānoa · USRush University Medical Center · USHubei University of Medicine · CNNanjing University of Chinese Medicine · CNShanghai University of Medicine and Health Sciences · CN

Funding

UH Hilo COP A&RP20GM103466 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI HELEN C TURNER · 2012 to 2026
$60.3M
The Role of gp120 on Cardiovascular Disease in People Living with HIVU54MD007601 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI Benjamin C. Fogelgren · 2017 to 2026
$59.5M
University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI GERTRAUD MASKARINEC · 1996 to 2026
$56.2M
RESEARCH DESIGN AND BIOSTATISTICS COREU54MD007584 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI MOKUAU, NOREEN, SHIRAMIZU, BRUCE T · 2012 to 2018
$21.1M
Small Grants ProgramP30GM114737 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI YANAGIHARA, RICHARD · 2015 to 2022
$8.1M
NCI NIH HHS P30 CA071789NIGMS NIH HHS P20 GM103466NIGMS NIH HHS P30 GM114737NIH HHS 2U54MD007601NIH HHS 5P30GM114737NIH HHS 5U54MD007584NIMHD NIH HHS U54 MD007584NIMHD NIH HHS U54 MD007601
6 · The paper itself

Abstract

backgroundProstate cancer is a very common and highly fatal in men. Current non-invasive detection methods like serum biomarker are unsatisfactory. Biomarkers with high accuracy for diagnostic of prostate cancer are urgently needed. Many lipid species have been found related to various cancers. The purpose of our study is to explore the diagnostic value of lipids for prostate cancer.

resultsUsing triple quadruple liquid chromatography electrospray ionization tandem mass spectrometry, we performed lipidomics profiling of 367 lipids on a total 114 plasma samples from 30 patients with prostate cancer, 38 patients with benign prostatic hyperplasia (BPH), and 46 male healthy controls to evaluate the lipids as potential biomarkers in the diagnosis of prostate cancer. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database was used to construct the potential mechanism pathway. After statistical analysis, five lipids were identified as a panel of potential biomarkers for the detection of prostate cancer between prostate cancer group and the BPH group; the sensitivity, specificity, and area under curve (AUC) of the combination of these five lipids were 73.3, 81.6%, and 0.800, respectively. We also identified another panel of five lipids in distinguishing between prostate cancer group and the control group with predictive values of sensitivity at 76.7%, specificity at 80.4%, and AUC at 0.836, respectively. The glycerophospholipid metabolism pathway of the selected lipids was considered as the target pathway.

conclusionsOur study indicated that the identified plasma lipid biomarkers have potential in the diagnosis of prostate cancer.

Indexed as

AgedBiomarkers, TumorHumansLipidsMaleMetabolic Networks and PathwaysMiddle AgedProstatic NeoplasmsBiomarkers, TumorLipidsDiagnosisLC-ESI-MS/MSLipidomicsMetabolic pathwayProstate cancer

Identifiers

PMID32967667
PMCPMC7513490
OpenAlexW3088790314

What OpenQuestion holds

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LicenceCC BY
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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.