Evidence map›Paper›PMID 34557219›Full record

ArticleFrontiers in genetics2021

Integrative Analysis of DNA Methylation and microRNA Expression Reveals Mechanisms of Racial Heterogeneity in Hepatocellular Carcinoma.

Rency S Varghese, Megan E Barefoot, Sidharth Jain, Yifan Chen, Yunxi Zhang, Amber Alley, Alexander H Kroemer, Mahlet G Tadesse, Deepak Kumar, Zaki A Sherif and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
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

13 citing papers in PubMed, 24 citations in OpenAlex.

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  12. A Bayesian two-step integrative procedure incorporating prior knowledge for the identification of miRNA-mRNAs involved in hepatocellular carcinoma.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2022
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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

11 authors at 4 institutions in 1 country.

Rency S VargheseDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.
Megan E BarefootDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.
Sidharth JainDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.
Yifan ChenDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.
Yunxi ZhangDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.
Amber AlleyDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.
Alexander H KroemerMedStar Georgetown University Hospital, Washington, DC, United States.
Mahlet G TadesseDepartment of Mathematics and Statistics, Georgetown University, Washington, DC, United States.
Deepak KumarDepartment of Pharmaceutical Sciences, North Carolina Central University, Durham, NC, United States.
Zaki A SherifDepartment of Biochemistry and Molecular Biology, College of Medicine, Howard University, Washington, DC, United States.
Habtom W RessomDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.
Georgetown University · USGeorgetown University Medical Center · USHoward University · USNorth Carolina Central University · US

Funding

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
Pharmacological Sciences Training Program (PSTP)T32GM142520 · NIGMS · GEORGETOWN UNIVERSITY · PI Patrick Alexander Forcelli, Anton Wellstein · 2022 to 2026
$1.3M
Decoding the Tissue of Origin of Cellular Damage from Cell-free DNA in Liquid BiopsiesF30CA250307 · NCI · GEORGETOWN UNIVERSITY · PI BAREFOOT, MEGAN EVELYN · 2021 to 2025
$176k
NCI NIH HHS F30 CA250307NCI NIH HHS U01 CA185188NIGMS NIH HHS R01 GM123766NIGMS NIH HHS T32 GM142520
6 · The paper itself

Abstract

Pathologic alterations in epigenetic regulation have long been considered a hallmark of many cancers, including hepatocellular carcinoma (HCC). In a healthy individual, the relationship between DNA methylation and microRNA (miRNA) expression maintains a fine balance; however, disruptions in this harmony can aid in the genesis of cancer or the propagation of existing cancers. The balance between DNA methylation and microRNA expression and its potential disturbance in HCC can vary by race. There is emerging evidence linking epigenetic events including DNA methylation and miRNA expression to cancer disparities. In this paper, we evaluate the epigenetic mechanisms of racial heterogenity in HCC through an integrated analysis of DNA methylation, miRNA, and combined regulation of gene expression. Specifically, we generated DNA methylation, mRNA-seq, and miRNA-seq data through the analysis of tumor and adjacent non-tumor liver tissues from African Americans (AA) and European Americans (EA) with HCC. Using mixed ANOVA, we identified cytosine-phosphate-guanine (CpG) sites, mRNAs, and miRNAs that are significantly altered in HCC vs. adjacent non-tumor tissue in a race-specific manner. We observed that the methylome was drastically changed in EA with a significantly larger number of differentially methylated and differentially expressed genes than in AA. On the other hand, the miRNA expression was altered to a larger extent in AA than in EA. Pathway analysis functionally linked epigenetic regulation in EA to processes involved in immune cell maturation, inflammation, and vascular remodeling. In contrast, cellular proliferation, metabolism, and growth pathways are found to predominate in AA as a result of this epigenetic analysis. Furthermore, through integrative analysis, we identified significantly differentially expressed genes in HCC with disparate epigenetic regulation, associated with changes in miRNA expression for AA and DNA methylation for EA.

Indexed as

cancer disparitiesDNA methylationepigenomic and transcriptomic datahepatocellular carcinomamiRNA expression

Identifiers

PMID34557219
PMCPMC8453167
OpenAlexW3197311145

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.