Evidence map›Paper›PMID 24053169›Full record

ArticleBMC medical genomics2013

An integrated transcriptome and epigenome analysis identifies a novel candidate gene for pancreatic cancer.

Jinping Jia, Hemang Parikh, Wenming Xiao, Jason W Hoskins, Holger Pflicke, Xuelu Liu, Irene Collins, Weiyin Zhou, Zhaoming Wang, John Powell and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.4field-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

23 citing papers in PubMed, 36 citations in OpenAlex.

  1. Trial
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  3. Co‑expression ofOncology letters · 2024
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  12. CharacterisingGut · 2018
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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

14 authors at 5 institutions in 1 country.

Jinping JiaLaboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. amundadottirl@mail.nih.gov.
Hemang Parikh
Wenming Xiao
Jason W Hoskins
Holger Pflicke
Xuelu Liu
Irene Collins
Weiyin Zhou
Zhaoming Wang
John Powell
Snorri S Thorgeirsson
Udo Rudloff
Gloria M Petersen
Laufey T Amundadottir
National Cancer Institute · USNational Institutes of Health · USCenter for Information Technology · USCenter for Cancer Research · USMayo Clinic in Florida · US

Funding

Laboratory of Translational GenomicsZIACP010201 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI PROKUNINA-OLSSON, LIUDMILA · 2010 to 2025
$91.2M
Computational Tools For Bioinformatics And Genome AnalysisZIACT000260 · CIT · CENTER FOR INFORMATION TECHNOLOGY · PI POWELL, JOHN I · 2009 to 2015
$5.6M
Genomic Classification of Human Liver CancerZIABC011173 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI THORGEIRSSON, SNORRI · 2009 to 2014
$4.8M
Intramural NIH HHSPHS HHS HHSN261200800001E
6 · The paper itself

Abstract

backgroundPancreatic cancer is a highly lethal cancer with limited diagnostic and therapeutic modalities.

methodsTo begin to explore the genomic landscape of pancreatic cancer, we used massively parallel sequencing to catalog and compare transcribed regions and potential regulatory elements in two human cell lines derived from normal and cancerous pancreas.

resultsBy RNA-sequencing, we identified 2,146 differentially expressed genes in these cell lines that were enriched in cancer related pathways and biological processes that include cell adhesion, growth factor and receptor activity, signaling, transcription and differentiation. Our high throughput Chromatin immunoprecipitation (ChIP) sequence analysis furthermore identified over 100,000 regions enriched in epigenetic marks, showing either positive (H3K4me1, H3K4me3, RNA Pol II) or negative (H3K27me3) correlation with gene expression. Notably, an overall enrichment of RNA Pol II binding and depletion of H3K27me3 binding were seen in the cancer derived cell line as compared to the normal derived cell line. By selecting genes for further assessment based on this difference, we confirmed enhanced expression of aldehyde dehydrogenase 1A3 (ALDH1A3) in two larger sets of pancreatic cancer cell lines and in tumor tissues as compared to normal derived tissues.

conclusionsAs aldehyde dehydrogenase (ALDH) activity is a key feature of cancer stem cells, our results indicate that a member of the ALDH superfamily, ALDH1A3, may be upregulated in pancreatic cancer, where it could mark pancreatic cancer stem cells.

Indexed as

EpigenomicsGene Expression ProfilingAldehyde OxidoreductasesCell Line, TumorHumansMicroRNAsPancreatic NeoplasmsRNA, MessengerSequence Analysis, RNAaldehyde dehydrogenase (NAD(P)+)Aldehyde OxidoreductasesMicroRNAsRNA, Messenger

Identifiers

PMID24053169
PMCPMC3849454
OpenAlexW2093859254

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.