Evidence map›Paper›PMID 28819352›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2016

Metabolomics of biomarker discovery in ovarian cancer: a systematic review of the current literature.

Onur Turkoglu, Amna Zeb, Stewart Graham, Thomas Szyperski, J Brian Szender, Kunle Odunsi, Ray Bahado-Singh

Open access · greenAbstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 5% 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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 83 citations in OpenAlex.

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  5. A Urinary Three-Metabolite Signature Enables Noninvasive Identification of Patients with High-Risk Ovarian Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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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 2 institutions in 1 country.

Onur TurkogluDepartment of Obstetrics and Gynecology, Beaumont Hospital, 3601 W. 13 Mile Rd., Royal Oak, MI 48073, USA.
Amna ZebDepartment of Obstetrics and Gynecology, Beaumont Hospital, 3601 W. 13 Mile Rd., Royal Oak, MI 48073, USA.
Stewart GrahamDepartment of Obstetrics and Gynecology, Beaumont Hospital, 3601 W. 13 Mile Rd., Royal Oak, MI 48073, USA.
Thomas SzyperskiDepartment of Chemistry, College of Arts and Sciences, University at Buffalo, Buffalo, NY, USA.
J Brian SzenderDepartment of Gynecologic Oncology, Roswell Park Cancer Institute, Buffalo, NY, USA.
Kunle OdunsiDepartment of Gynecologic Oncology, Roswell Park Cancer Institute, Buffalo, NY, USA.
Ray Bahado-SinghDepartment of Obstetrics and Gynecology, Beaumont Hospital, 3601 W. 13 Mile Rd., Royal Oak, MI 48073, USA.
Beaumont Hospital, Royal Oak · USRoswell Park Comprehensive Cancer Center · US

Funding

RPCI-UPCI Ovarian Cancer SPOREP50CA159981 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MOYSICH, KIRSTEN B., ODUNSI, KUNLE · 2013 to 2025
$19.6M
Postdoctoral Research Training in Surgical OncologyT32CA108456 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI YENDAMURI, SAIKRISHNA · 2006 to 2020
$2.8M
NCI NIH HHS P50 CA159981NCI NIH HHS T32 CA108456
6 · The paper itself

Abstract

introductionMetabolomics is the emerging member of "omics" sciences advancing the understanding, diagnosis and treatment of many cancers, including ovarian cancer (OC).

objectivesTo systematically identify the metabolomic abnormalities in OC detection, and the dominant metabolic pathways associated with the observed alterations.

methodsAn electronic literature search was performed, up to and including January 15th 2016, for studies evaluating the metabolomic profile of patients with OC compared to controls. QUADOMICS tool was used to assess the quality of the twenty-three studies included in this systematic review.

resultsBiological samples utilized for metabolomic analysis include: serum/plasma (n = 13), urine (n = 4), cyst fluid (n = 3), tissue (n = 2) and ascitic fluid (n = 1). Metabolites related to cellular respiration, carbohydrate, lipid, protein and nucleotide metabolism were significantly altered in OC. Increased levels of tricarboxylic acid cycle intermediates and altered metabolites of the glycolytic pathway pointed to perturbations in cellular respiration. Alterations in lipid metabolism included enhanced fatty acid oxidation, abnormal levels of glycerolipids, sphingolipids and free fatty acids with common elevations of palmitate, oleate, and myristate. Increased levels of glutamine, glycine, cysteine and threonine were commonly reported while enhanced degradations of tryptophan, histidine and phenylalanine were found. N-acetylaspartate, a brain amino acid, was found elevated in primary and metastatic OC tissue and ovarian cyst fluid. Further, elevated levels of ketone bodies including 3-hydroxybutyrate were commonly reported. Increased levels of nucleotide metabolites and tocopherols were consistent through out the studies.

conclusionMetabolomics presents significant new opportunities for diagnostic biomarker development, elucidating previously unknown mechanisms of OC pathogenesis.

Indexed as

BiomarkerMetabolitesMetabolomicsOvarian cancerSystematic review

Identifiers

PMID28819352
PMCPMC5557039
OpenAlexW2327202603

What OpenQuestion holds

Textmetadata
LicenceTDM
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.