Evidence map›Paper›PMID 24603597›Full record

ArticlePloS one2014

A novel three serum phospholipid panel differentiates normal individuals from those with prostate cancer.

Nima Patel, Robert Vogel, Kumar Chandra-Kuntal, Wayne Glasgow, Uddhav Kelavkar

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Lipids: Driving Forces in the Underlying Biology of Carcinogenesis.ACS pharmacology & translational science · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Targeting lipid metabolism in metastatic prostate cancer.Therapeutic advances in medical oncology · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Biofluid lipidome: a source for potential diagnostic biomarkers.Clinical and translational medicine · 2017
    Review
  20. Review
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

5 authors at 4 institutions in 1 country.

Nima PatelDepartment of Laboratory Oncology Research, Memorial University Medical Center (MUMC) and Mercer University School of Medicine (MUSM), Anderson Cancer Institute, Savannah, Georgia, United States of America.
Robert VogelGeorgia Southern University, Statesboro, Georgia, United States of America.
Kumar Chandra-KuntalDepartment of Laboratory Oncology Research, Memorial University Medical Center (MUMC) and Mercer University School of Medicine (MUSM), Anderson Cancer Institute, Savannah, Georgia, United States of America.
Wayne GlasgowDepartment of Laboratory Oncology Research, Memorial University Medical Center (MUMC) and Mercer University School of Medicine (MUSM), Anderson Cancer Institute, Savannah, Georgia, United States of America.
Uddhav KelavkarDepartment of Laboratory Oncology Research, Memorial University Medical Center (MUMC) and Mercer University School of Medicine (MUSM), Anderson Cancer Institute, Savannah, Georgia, United States of America.
Memorial Health University Medical Center · USGeorgia Southern University · USMercer University · USMercer University Health Sciences Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe results of prostate specific antigen (PSA) and digital rectal examination (DRE) screenings lead to both under and over treatment of prostate cancer (PCa). As such, there is an urgent need for the identification and evaluation of new markers for early diagnosis and disease prognosis. Studies have shown a link between PCa, lipids and lipid metabolism. Therefore, the aim of this study was to examine the concentrations and distribution of serum lipids in patients with PCa as compared with serum from controls.

methodUsing Electrospray ionization mass spectrometry (ESI-MS/MS) lipid profiling, we analyzed serum phospholipids from age-matched subjects who were either newly diagnosed with PCa or healthy (normal).

resultsWe found that cholester (CE), dihydrosphingomyelin (DSM), phosphatidylcholine (PC), egg phosphatidylcholine (ePC) and egg phosphatidylethanolamine (ePE) are the 5 major lipid groups that varied between normal and cancer serums. ePC 38:5, PC 40:3, and PC 42:4 represent the lipids species most prevalent in PCa as compared with normal serum. Further analysis revealed that serum ePC 38:5 ≥0.015 nmoles, PC 40.3 ≤0.001 nmoles and PC 42:4 ≤0.0001 nmoles correlated with the absence of PCa at 94% prediction. Conversely, serum ePC 38:5 ≤0.015 nmoles, PC 40:3 ≥0.001 nmoles, and PC 42:4 ≥0.0001 nmoles correlated with the presence of PCa.

conclusionIn summary, we have demonstrated that ePC 38:5, PC 40:3, and PC 42:4 may serve as early predictive serum markers for the presence of PCa.

Indexed as

Early DiagnosisAdultAgedAged, 80 and overDiagnosis, DifferentialHumansMaleMiddle AgedNeoplasm GradingPhosphatidylcholinesPhosphatidylethanolaminesPhospholipidsPrognosisProstate-Specific AntigenProstatic NeoplasmsSensitivity and SpecificityPhosphatidylcholinesphosphatidylethanolaminePhosphatidylethanolaminesPhospholipidsProstate-Specific AntigenSphingomyelins

Identifiers

PMID24603597
PMCPMC3945968
OpenAlexW2013735765

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.