Evidence map›Paper›PMID 21396482›Full record

ArticleInternational immunopharmacology2011

Mycophenolic acid response biomarkers: a cell line model system-based genome-wide screen.

Tse-Yu Wu, Brooke L Fridley, Gregory D Jenkins, Anthony Batzler, Liewei Wang, Richard M Weinshilboum

Abstract read
In one paragraph

Article in International immunopharmacology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

10 citing papers in PubMed, 13 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 2 institutions in 1 country.

Tse-Yu WuDivision of Clinical Pharmacology, Department of Pharmacology and Experimental Therapeutics, Rochester, MN 55905, USA. Wu.TseYu@mayo.edu
Brooke L Fridley
Gregory D Jenkins
Anthony Batzler
Liewei Wang
Richard M Weinshilboum
Mayo Clinic in Florida · USMayo Clinic · US

Funding

Pharmacogenetics of Phase II Drug Metabolizing EnzymesU19GM061388 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 2010 to 2014
$15.8M
INHERITED VARIATIONS IN DRUG-METABOLIZING ENZYMESR01GM028157 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 1985 to 2019
$6.9M
Pharmacogenomics of cytosine arabinoside (Ara-C) and acute myelogenous leukemiaR01CA132780 · NCI · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 2008 to 2013
$1.6M
Pharmacogenomics and Mechanisms of Cytidine AnaloguesR01CA138461 · NCI · MAYO CLINIC ROCHESTER · PI WANG, LIEWEI · 2009 to 2013
$1.5M
Pharmacogenomics of a Cytidine Analogue, GemcitabineK22CA130828 · NCI · MAYO CLINIC ROCHESTER · PI WANG, LIEWEI · 2008 to 2010
$492k
NCI NIH HHS K22 CA130828NCI NIH HHS R01 CA132780NCI NIH HHS R01 CA138461NIGMS NIH HHS R01 GM028157NIGMS NIH HHS R01 GM28157NIGMS NIH HHS U19 GM061388NIGMS NIH HHS U19 GM61388
6 · The paper itself

Abstract

Mycophenolic acid (MPA) is commonly used to treat patients with solid organ transplants during maintenance immunosuppressive therapy. Response to MPA varies widely, both for efficacy and drug-induced toxicity. A portion of this variation can be explained by pharmacokinetic and pharmacodynamic factors, including genetic variation in MPA-metabolizing UDP-glucuronyltransferase isoforms and the MPA targets, inosine monophosphate dehydrogenase 1 and 2. However, much of the variation in MPA response presently remains unexplained. We set out to determine whether there might be additional genes that modify response to MPA by performing a genome-wide association study between basal gene mRNA expression profiles and an MPA cytotoxicity phenotype using a 271 human lymphoblastoid cell line model system to identify and functionally validate genes that might contribute to variation in MPA response. Our association study identified 41 gene expression probe sets, corresponding to 35 genes, that were associated with MPA cytotoxicity as a drug response phenotype (p<1×10(-6)). Follow-up siRNA-mediated knockdown-based functional validation identified four of these candidate genes, C17orf108, CYBRD1, NASP, and RRM2, whose knockdown shifted the MPA cytotoxicity curves in the direction predicted by the association analysis. These studies have identified novel candidate genes that may contribute to variation in response to MPA therapy and, as a result, may help make it possible to move toward more highly individualized MPA-based immunosuppressive therapy.

Indexed as

Gene Expression ProfilingGenome-Wide Association StudyAntibiotics, AntineoplasticAutoantigensBiomarkersCell Line, TumorCytochrome b GroupFollow-Up StudiesHeLa CellsHumansMycophenolic AcidNuclear ProteinsOxidoreductasesPhenotypeRibonucleoside Diphosphate ReductaseRNA, MessengerAntibiotics, AntineoplasticAutoantigensBiomarkersCYBRD1 protein, humanCytochrome b GroupMycophenolic AcidNASP protein, humanNuclear ProteinsOxidoreductasesRibonucleoside Diphosphate Reductaseribonucleotide reductase M2RNA, Messenger

Identifiers

PMID21396482
PMCPMC3138818
OpenAlexW2073076788

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.