Evidence map›Paper›PMID 35565391›Full record

ArticleCancers2022

Space- and Time-Resolved Metabolomics of a High-Grade Serous Ovarian Cancer Mouse Model.

Samyukta Sah, Xin Ma, Andro Botros, David A Gaul, Sylvia R Yun, Eun Young Park, Olga Kim, Samuel G Moore, Jaeyeon Kim, Facundo M Fernández

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
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  6. Article
  7. Serum Lipidome Profiling Reveals a Distinct Signature of Ovarian Cancer in Korean Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
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  17. Review
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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 3 institutions in 1 country.

Samyukta SahSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Xin MaSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0002-7058-0165
Andro BotrosDepartments of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
David A GaulSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0002-9308-1895
Sylvia R YunDepartments of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Eun Young ParkDepartments of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0001-8159-539X
Olga KimDepartments of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0002-4437-5870
Samuel G MooreSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Jaeyeon KimDepartments of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Facundo M FernándezSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0002-0302-2534
Georgia Institute of Technology · USIndiana University School of MedicineIndiana University Health · US

Funding

Deep Ovarian Cancer MetabolomicsR01CA218664 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI Facundo Martin Fernandez, Jaeyeon Kim · 2018 to 2026
$4.3M
NCI NIH HHS 1R01CA218664-01NCI NIH HHS R01 CA218664
6 · The paper itself

Abstract

The dismally low survival rate of ovarian cancer patients diagnosed with high-grade serous carcinoma (HGSC) emphasizes the lack of effective screening strategies. One major obstacle is the limited knowledge of the underlying mechanisms of HGSC pathogenesis at very early stages. Here, we present the first 10-month time-resolved serum metabolic profile of a triple mutant (TKO) HGSC mouse model, along with the spatial lipidome profile of its entire reproductive system. A high-coverage liquid chromatography mass spectrometry-based metabolomics approach was applied to longitudinally collected serum samples from both TKO (

Indexed as

biomarkershigh-grade serous ovarian cancerimagingmass spectrometrymetabolomics

Identifiers

PMID35565391
PMCPMC9104348
OpenAlexW4225258286

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.