Evidence map›Paper›PMID 37961688›Full record

ArticlebioRxiv : the preprint server for biology2023

Ultrahigh Resolution Lipid Mass Spectrometry Imaging of High-Grade Serous Ovarian Cancer Mouse Models.

Xin Ma, Andro Botros, Sylvia R Yun, Eun Young Park, Olga Kim, Ruihong Chen, Murugesan Palaniappan, Martin M Matzuk, Jaeyeon Kim, Facundo M Fernández

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Xin MaSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-7058-0165
Andro BotrosDepartments of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, Indiana, 46202, United States.
Sylvia R YunDepartments of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, Indiana, 46202, United States.
Eun Young ParkDepartments of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, Indiana, 46202, United States.
Olga KimDepartments of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, Indiana, 46202, United States.
Ruihong ChenDepartment of Pathology & Immunology, Baylor College of Medicine, Houston, TX 77030, United States.
Murugesan PalaniappanDepartment of Pathology & Immunology, Baylor College of Medicine, Houston, TX 77030, United States.
Martin M MatzukDepartment of Pathology & Immunology, Baylor College of Medicine, Houston, TX 77030, United States.ORCID 0000-0002-1445-8632
Jaeyeon KimDepartments of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, Indiana, 46202, United States.
Facundo M FernándezSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-0302-2534
Indiana University Health · USBaylor College of Medicine · USGeorgia Institute of Technology · 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 R01 CA218664
6 · The paper itself

Abstract

No effective screening tools for ovarian cancer (OC) exist, making it one of the deadliest cancers among women. Considering little is known about the detailed progression and metastasis mechanism of OC at a molecular level, it is crucial to gain more insights on how metabolic and signaling alterations accompany its development. Herein, we present a comprehensive study using ultra-high-resolution Fourier transform ion cyclotron resonance matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) to investigate the spatial distribution and alterations of lipids in ovarian tissues collected from double knockout (

Indexed as

biomarkershigh-grade serous ovarian cancerlipidomicsMass spectrometry imagingmatrix-assisted laser desorption/ionization

Identifiers

PMID37961688
PMCPMC10634942
OpenAlexW4388213670

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.