Evidence map›Paper›PMID 24924344›Full record

ArticleBMC research notes2014

Application of next generation sequencing to CEPH cell lines to discover variants associated with FDA approved chemotherapeutics.

Gunjan D Hariani, Ernest T Lam, Ernest J Lam, Tammy Havener, Pui-Yan Kwok, Howard L McLeod, Michael J Wagner, Alison A Motsinger-Reif

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC research notes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

  • Erratum issued
    Lam, Ernest J [corrected to Lam, Ernest T]
5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Gunjan D Hariani
Ernest T Lam
Ernest J Lam
Tammy Havener
Pui-Yan Kwok
Howard L McLeod
Michael J Wagner
Alison A Motsinger-ReifBioinformatics Research Center, North Carolina State University, 307 Ricks Hall, 1 Lampe Dr, Raleigh, NC 27695 CB7566, USA. motsinger@stat.ncsu.edu.
North Carolina State University · USUniversity of California, San Francisco · USUniversity of North Carolina at Chapel Hill · USMoffitt Cancer Center · US

Funding

POPULATION GENETICS AND DRUG METABOLISMU01GM063340 · NIGMS · WASHINGTON UNIVERSITY · PI MCLEOD, HOWARD L · 2001 to 2009
$17.4M
Genetic Etiology of Cancer Drug ResponseR01CA161608 · NCI · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI WILTSHIRE, TIM, WRIGHT, FRED A. · 2012 to 2021
$4.0M
NCI NIH HHS R01 CA161608NIGMS NIH HHS U01 GM63340
6 · The paper itself

Abstract

backgroundThe goal of this study was to perform candidate gene association with cytotoxicity of chemotherapeutics in cell line models through resequencing and discovery of rare and low frequency variants along with common variations. Here, an association study of cytotoxicity response to 30 FDA approved drugs was conducted and we applied next generation targeted sequencing technology to discover variants from 103 candidate genes in 95 lymphoblastoid cell lines from 14 CEPH pedigrees. In this article, we called variants across 95 cell lines and performed association analysis for cytotoxic response using the Family Based Association Testing method and software.

resultsWe called 2281 variable SNP genotypes across the 103 genes for these cell lines and identified three genes of significant association within this marker set. Specifically, ATP-binding cassette, sub-family C, member 5 (ABCC5), metallothionein 1A (MT1A) and NAD(P)H dehydrogenase quinone1 (NQO1) were significantly associated with oxaliplatin drug response. The significant SNP on NQO1 (rs1800566) has been linked with poor survival rates in patients with non-small cell lung cancer treated with cisplatin (which belongs to the same class of drugs as oxaliplatin). A SNP (rs1846692) near the 5' region of MT1A was associated with arsenic trioxide.

conclusionsThe results from this study are promising and this serves as a proof-of-principle demonstration of the use of sequencing data in the cytotoxicity models of human cell lines. With increased sample sizes, such studies will be a fast and powerful way to associate common and rare variants with drug response; while overcoming the cost and time limitations to recruit cohorts for association study.

Indexed as

Antineoplastic AgentsDrug ApprovalPolymorphism, Single NucleotideCell LineHumansUnited StatesUnited States Food and Drug AdministrationAntineoplastic Agents

Identifiers

PMID24924344
PMCPMC4068968
OpenAlexW2164434519

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.