Evidence map›Paper›PMID 33193605›Full record

ArticleFrontiers in genetics2020

Identification of Prognostic Markers in Cholangiocarcinoma Using Altered DNA Methylation and Gene Expression Profiles.

Nitish Kumar Mishra, Meng Niu, Siddesh Southekal, Prachi Bajpai, Amr Elkholy, Upender Manne, Chittibabu Guda

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Validation of Prognostic Circulating Cell-Free RNA BiomarkersCurrent issues in molecular biology · 2025
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  13. The Role of microRNAs in Cholangiocarcinoma.International journal of molecular sciences · 2021
    Review
  14. 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

7 authors at 2 institutions in 1 country.

Nitish Kumar MishraDepartment of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States.
Meng NiuDepartment of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States.
Siddesh SouthekalDepartment of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States.
Prachi BajpaiDepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States.
Amr ElkholyDepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States.
Upender ManneDepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States.
Chittibabu GudaDepartment of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States.
University of Nebraska Medical Center · USUniversity of Alabama at Birmingham · US

Funding

UNMC Structural Biology CoreP20GM103427 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI PAUL L SORGEN · 2012 to 2026
$59.2M
UNMC/EPPLEY CANCER CENTER SUPPORT GRANTP30CA036727 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Joann B. Sweasy · 1985 to 2026
$55.0M
Therapeutics Core (Page 286)P30MH062261 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BUCH, SHILPA J., FOX, HOWARD S · 2000 to 2021
$37.7M
NCI NIH HHS P30 CA036727NIGMS NIH HHS P20 GM103427NIMH NIH HHS P30 MH062261
6 · The paper itself

Abstract

backgroundCholangiocarcinoma (CCA) is a rare disease, but it is amongst the most lethal cancers with a median survival under 1 year. Variations in DNA methylation and gene expression have been extensively studied in other cancers for their role in pathogenesis and disease prognosis, but these studies are very limited in CCA. This study focusses on the identification of DNA methylation and gene expression prognostic biomarkers using multi-omics data of CCA tumors from The Cancer Genome Atlas (TCGA).

methodWe have conducted a genome-wide analysis of differential DNA methylation and gene/miRNA expression using data from 36 CCA tumor and 9 normal samples from TCGA. The impact of DNA methylation in promoters and long-range distal enhancers on the regulation and expression of CCA-associated genes was examined using linear regression. Next, we conducted network analyses on genes which are regulated by DNA methylation as well as by miRNA. Finally, we performed Kaplan-Meier and Cox proportional hazards regression analyses in order to identify the role of selected methylation sites and specific genes and miRNAs in patient survival. We also performed real-time quantitative PCR (qPCR) to confirm the change in gene expression in CCA patients' tumor and adjacent normal samples.

resultsAltered DNA methylation was observed on 12,259 CpGs across all chromosomes, of which 78% were hypermethylated. We observed a strong negative relationship between promoter hypermethylation and corresponding gene expression in 92% of the CpGs. Differential expression analyses revealed altered expression patterns in 3,305 genes and 101 miRNAs. Finally, we identified 17 differentially methylated promoter CpGs, 72 differentially expressed genes, and two miRNAs that are likely associated with patient survival. Pathway analysis suggested that cell division, bile secretion, amino acid metabolism, PPAR signaling, hippo signaling were highly affected by gene expression and DNA methylation alterations. The qPCR analysis further confirmed that MDK, HNF1B, PACS1, and GLUD1 are differentially expressed in CCA.

conclusionBased on the survival analysis, we conclude that DEPDC1, FUT4, MDK, PACS1, PIWIL4 genes, miR-22, miR-551b microRNAs, and cg27362525 and cg26597242 CpGs can strongly support their use as prognostic markers of CCA.

Indexed as

cholangiocarcinomadifferential expressiondifferential methylationintegrative analysislogistic regressionprognostic biomarkerTCGA

Identifiers

PMID33193605
PMCPMC7606733
OpenAlexW3093501392

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.