Evidence map›Paper›PMID 32616712›Full record

ArticleOncogenesis2020

Histoepigenetic analysis of the mesothelin network within pancreatic ductal adenocarcinoma cells reveals regulation of retinoic acid receptor gamma and AKT by mesothelin.

Eugene Lurie, Dongliang Liu, Emily L LaPlante, Lillian R Thistlethwaite, Qizhi Yao, Aleksandar Milosavljevic

Open access · goldAbstract read
In one paragraph

Article in Oncogenesis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Eugene LurieDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0003-2700-4071
Dongliang LiuMichael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA.
Emily L LaPlanteDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0002-4044-7187
Lillian R ThistlethwaiteDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Qizhi YaoMichael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA. qizhiyao@bcm.edu.ORCID http://orcid.org/0000-0002-2267-0588
Aleksandar MilosavljevicDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA. amilosav@bcm.edu.ORCID http://orcid.org/0000-0001-5482-2825
Baylor College of Medicine · USMichael E. DeBakey VA Medical Center · USThe University of Texas MD Anderson Cancer Center · US

Funding

TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY AND MEDICINET15LM007093 · NLM · RICE UNIVERSITY · PI Lydia E. Kavraki · 1992 to 2026
$20.8M
SOC CoreU54DA036134 · NIDA · BAYLOR COLLEGE OF MEDICINE · PI GALAS, DAVID J., GERSTEIN, MARK BENDER · 2013 to 2018
$15.0M
A novel miR-198 replacement therapy for pancreatic cancerR01CA183984 · NCI · BAYLOR COLLEGE OF MEDICINE · PI YAO, QIZHI C. · 2015 to 2019
$2.4M
Translational Genomics and Precision Medicine in Cancer Training ProgramT32CA217789 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Subrata Sen · 2018 to 2026
$2.2M
NCI NIH HHS R01 CA183984NCI NIH HHS T32 CA217789NIDA NIH HHS U54 DA036134NLM NIH HHS T15 LM007093U.S. Department of Health & Human Services | National Institutes of Health (NIH) 5U54 DA036134
6 · The paper itself

Abstract

To enable computational analysis of regulatory networks within the cancer cell in its natural tumor microenvironment, we develop a two-stage histoepigenetic analysis method. The first stage involves iterative computational deconvolution to estimate sample-specific cancer-cell intrinsic expression of a gene of interest. The second stage places the gene within a network module. We validate the method in simulation experiments, show improved performance relative to differential expression analysis from bulk samples, and apply it to illuminate the role of the mesothelin (MSLN) network in pancreatic ductal adenocarcinoma (PDAC). The network analysis and subsequent experimental validation in a panel of PDAC cell lines suggests AKT activation by MSLN through two known activators, retinoic acid receptor gamma (RARG) and tyrosine kinase non receptor 2 (TNK2). Taken together, these results demonstrate the potential of histoepigenetic analysis to reveal cancer-cell specific molecular interactions directly from patient tumor profiles.

Identifiers

PMID32616712
PMCPMC7332500
OpenAlexW3038300159

What OpenQuestion holds

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Registered trials

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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.