Evidence map›Paper›PMID 31188000›Full record

ArticleJournal of proteome research2019

Metabolomic Analysis of Liver Tissues for Characterization of Hepatocellular Carcinoma.

Alessia Ferrarini, Cristina Di Poto, Shisi He, Chao Tu, Rency S Varghese, Abdalla Kara Balla, Meth Jayatilake, Zhenzhi Li, Kian Ghaffari, Ziling Fan and 5 more

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
3.2field-weighted citation impact, top 7% 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, 87 citations in OpenAlex.

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  16. Technologies to Study Genetics and Molecular Pathways.Advances in experimental medicine and biology · 2024
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  17. Frontiers in pharmacology · 2024
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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

15 authors at 4 institutions in 1 country.

Alessia Ferrarini
Cristina Di Poto
Shisi He
Chao Tu
Rency S Varghese
Abdalla Kara BallaMedStar Georgetown Transplant Institute , Washington , D.C. 20007 , United States.
Meth Jayatilake
Zhenzhi Li
Kian Ghaffari
Ziling Fan
Zaki A SherifDepartment of Biochemistry & Molecular Biology , Howard University , Washington D.C. 20059 , United States.
Deepak KumarJulius L. Chambers Biomedical/Biotechnology Research Institute, North Carolina Central University , Durham , North Carolina 27707 , United States.
Alexander KroemerMedStar Georgetown Transplant Institute , Washington , D.C. 20007 , United States.
Mahlet G Tadesse
Georgetown University · USMedStar Heart & Vascular Institute · USHoward University · USNorth Carolina Central University · US

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
Analysis of Racial Disparities in HCC by Systems MetabolomicsU01CA185188 · NCI · GEORGETOWN UNIVERSITY · PI RESSOM, HABTOM W · 2015 to 2019
$1.7M
Systems Metabolomics for HCC Biomarker DiscoveryR01GM123766 · NIGMS · GEORGETOWN UNIVERSITY · PI RESSOM, HABTOM W · 2017 to 2021
$1.5M
New Tools for Metabolite Identification and QuantitationR03CA222155 · NCI · GEORGETOWN UNIVERSITY · PI RESSOM, HABTOM W · 2017 to 2017
$109k
NCI NIH HHS P30 CA051008NCI NIH HHS R03 CA222155NCI NIH HHS U01 CA185188NIGMS NIH HHS R01 GM123766
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) causes more than half a million annual deaths worldwide. Understanding the mechanisms contributing to HCC development is highly desirable for improved surveillance, diagnosis, and treatment. Liver tissue metabolomics has the potential to reflect the physiological changes behind HCC development. Also, it allows identification of biomarker candidates for future evaluation in biofluids and investigation of racial disparities in HCC. Tumor and nontumor tissues from 40 patients were analyzed by both gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) platforms to increase the metabolome coverage. The levels of the metabolites extracted from solid liver tissue of the HCC area and adjacent non-HCC area were compared. Among the analytes detected by GC-MS and LC-MS with significant alterations, 18 were selected based on biological relevance and confirmed metabolite identification. These metabolites belong to TCA cycle, glycolysis, purines, and lipid metabolism and have been previously reported in liver metabolomic studies where high correlation with HCC progression is implied. We demonstrated that metabolites related to HCC pathogenesis can be identified through liver tissue metabolomic analysis. Additionally, this study has enabled us to identify race-specific metabolites associated with HCC.

Indexed as

MetabolomicsBiomarkers, TumorCarcinoma, HepatocellularFemaleGas Chromatography-Mass SpectrometryGene Expression Regulation, NeoplasticHumansLipid MetabolismLiverLiver NeoplasmsMaleMetabolomeMiddle AgedBiomarkers, Tumoralpha-fetoproteincirrhosisGC−MSHCCliver tissuesmetabolomicsUPLC−MS

Identifiers

PMID31188000
PMCPMC6677583
OpenAlexW2952334279

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.