Evidence map›Paper›PMID 35118815›Full record

ArticleClinical and translational science2022

Predicted expression of genes involved in the thiopurine metabolic pathway and azathioprine discontinuation due to myelotoxicity.

Laura L Daniel, Alyson L Dickson, Jacy T Zanussi, Tyne W Miller-Fleming, Peter S Straub, Wei-Qi Wei, W Dale Plummer, William D Dupont, Ge Liu, Prathima Anandi and 8 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
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

18 authors at 2 institutions in 1 country.

Laura L DanielDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0003-3143-5915
Alyson L DicksonDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Jacy T ZanussiDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Tyne W Miller-FlemingDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0002-0398-5162
Peter S StraubDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Wei-Qi WeiDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
W Dale PlummerDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
William D DupontDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Ge LiuDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Prathima AnandiDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Tyler S ReeseDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Kelly A BirdwellDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Vivian K KawaiDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Adriana M HungDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Nancy J CoxDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
QiPing FengDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
C Michael SteinDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Cecilia P ChungDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0001-5908-9423
Vanderbilt University Medical Center · USVA Tennessee Valley Healthcare System · US

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Pharmacogenomics of Arrhythmia TherapyU19HL065962 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RODEN, DAN M · 2010 to 2014
$17.4M
Understanding and preventing HLA-associated drug reactionsP50GM115305 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RODEN, DAN M · 2015 to 2019
$13.0M
The Genetic Epemiology of Multiple SclerosisR01NS032830 · NINDS · VANDERBILT UNIVERSITY · PI HAINES, JONATHAN L · 1995 to 2010
$8.9M
Epidemiologic Architecture for Genes Linked to Environment (EAGLE)U01HG004798 · NHGRI · VANDERBILT UNIVERSITY · PI CRAWFORD, DANA C · 2008 to 2013
$8.8M
VESPA: Vanderbilt Electronic Systems for Pharmacogenomic AssessmentRC2GM092618 · NIGMS · VANDERBILT UNIVERSITY · PI DENNY, JOSHUA C., RODEN, DAN M · 2009 to 2010
$6.4M
Vanderbilt Genome Electronic Records ProjectU01HG006378 · NHGRI · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2011 to 2014
$4.0M
Understanding the genetic risk underlying racial disparities in uterine fibroids - Diversity SupplementR01HD074711 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI VELEZ EDWARDS, DIGNA R · 2013 to 2017
$2.9M
Genome and Phenome to Define Disease Risk with Antinuclear AntibodiesR01AR076516 · NIAMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KAWAI, VIVIAN K · 2020 to 2024
$2.8M
A Personalized Medicine Approach to Improve the Prediction of Azathioprine ToxicityR01GM126535 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CHUNG, CECILIA PILAR · 2018 to 2022
$2.3M
CSRD VA I01 CX001897CTSA UL1TR002243NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR002243NCRR NIH HHS S10 RR025141NCRR NIH HHS UL1 RR024975NHGRI NIH HHS U01 HG004798NHGRI NIH HHS U01 HG006378NHLBI NIH HHS U19 HL065962NIAMS NIH HHS R01 AR076516NICHD NIH HHS R01 HD074711NIGMS NIH HHS P50 GM115305NIGMS NIH HHS R01 GM109145NIGMS NIH HHS R01 GM126535NIGMS NIH HHS R35 GM131770NIGMS NIH HHS RC2 GM092618NIH HHS S10 OD017985NIH HHS S10OD017985NINDS NIH HHS R01 NS032830
6 · The paper itself

Abstract

TPMT and NUDT15 variants explain less than 25% of azathioprine-associated myelotoxicity. There are 25 additional genes in the thiopurine pathway that could also contribute to azathioprine myelotoxicity. We hypothesized that among TPMT and NUDT15 normal metabolizers, a score combining the genetically predicted expression of other proteins in the thiopurine pathway would be associated with a higher risk for azathioprine discontinuation due to myelotoxicity. We conducted a retrospective cohort study of new users of azathioprine who were normal TPMT and NUDT15 metabolizers. In 1201 White patients receiving azathioprine for an inflammatory disease, we used relaxed Least Absolute Shrinkage and Selection Operator (LASSO) regression to select genes that built a score for discontinuing azathioprine due to myelotoxicity. The score incorporated the predicted expression of AOX1 and NME1. Patients in the highest score tertile had a higher risk of discontinuing azathioprine compared to those in the lowest tertile (hazard ratio [HR] = 2.15, 95% confidence interval [CI] = 1.11-4.19, p = 0.024). Results remained significant after adjusting for a propensity score, including sex, tertile of calendar year at initial dose, initial dose, age at baseline, indication, prior TPMT testing, and the first 10 principal components of the genetic data (HR = 2.11, 95% CI = 1.08-4.13, p = 0.030). We validated the results in a cohort (N = 517 non-White patients and those receiving azathioprine to prevent transplant rejection) that included all other patients receiving azathioprine (HR = 2.00, (95% CI = 1.09-3.65, p = 0.024). In conclusion, among patients who were TPMT and NUDT15 normal metabolizers, a score combining the predicted expression of AOX1 and NME1 was associated with an increased risk for discontinuing azathioprine due to myelotoxicity.

Indexed as

AzathioprinePyrophosphatasesHumansMetabolic Networks and PathwaysMethyltransferasesRetrospective StudiesAzathioprineMethyltransferasesPyrophosphatases

Identifiers

PMID35118815
PMCPMC9010278
OpenAlexW4210778729

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.