Evidence map›Paper›PMID 17537913›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2007

A genome-wide approach to identify genetic variants that contribute to etoposide-induced cytotoxicity.

R Stephanie Huang, Shiwei Duan, Wasim K Bleibel, Emily O Kistner, Wei Zhang, Tyson A Clark, Tina X Chen, Anthony C Schweitzer, John E Blume, Nancy J Cox and 1 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% 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

136 citing papers in PubMed, 1 synthesis or guideline pooled it, 201 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Pharmacogenomic and Statistical Analysis.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  5. Review
  6. Article
  7. Article
  8. International journal of molecular sciences · 2020
    Article
  9. Association of Genetic Variants atFrontiers in cardiovascular medicine · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

76 more citing papers are in PubMed but not listed here.

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

11 authors at 3 institutions in 1 country.

R Stephanie HuangSection of Hematology-Oncology, Biostatistics Consulting Laboratory, Department of Health Studies, University of Chicago, Chicago, IL 60637, USA.
Shiwei Duan
Wasim K Bleibel
Emily O Kistner
Wei Zhang
Tyson A Clark
Tina X Chen
Anthony C Schweitzer
John E Blume
Nancy J Cox
M Eileen Dolan
Palmetto Hematology Oncology · USUniversity of Chicago · USBiostatistical Consulting (United States) · US

Funding

Whole GenomeU01GM061393 · NIGMS · UNIVERSITY OF CHICAGO · PI RATAIN, MARK J · 2000 to 2014
$39.0M
THE STANFORD PHARMACOGENETICS KNOWLEDGE BASEU01GM061374 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO · 2000 to 2009
$24.0M
NIGMS NIH HHS GM61393NIGMS NIH HHS U01 GM061374NIGMS NIH HHS U01 GM061393NIGMS NIH HHS U01GM61374
6 · The paper itself

Abstract

Large interindividual variance has been observed in sensitivity to drugs. To comprehensively decipher the genetic contribution to these variations in drug susceptibility, we present a genome-wide model using human lymphoblastoid cell lines from the International HapMap consortium, of which extensive genotypic information is available, to identify genetic variants that contribute to chemotherapeutic agent-induced cytotoxicity. Our model integrated genotype, gene expression, and sensitivity of HapMap cell lines to drugs. Cell lines derived from 30 trios of European descent (Center d'Etude du Polymorphisme Humain population) and 30 trios of African descent (Yoruban population) were used. Cell growth inhibition at increasing concentrations of etoposide for 72 h was determined by using alamarBlue assay. Gene expression on 176 HapMap cell lines (87 Center d'Etude du Polymorphisme Humain population and 89 Yoruban population) was determined by using the Affymetrix GeneChip Human Exon 1.0ST Array. We evaluated associations between genotype and cytotoxicity, genotype and gene expression and correlated gene expression of the identified candidates with cytotoxicity. The analysis identified 63 genetic variants that contribute to etoposide-induced toxicity through their effect on gene expression. These include genes that may play a role in cancer (AGPAT2, IL1B, and WNT5B) and genes not yet known to be associated with sensitivity to etoposide. This unbiased method can be used to elucidate genetic variants contributing to a wide range of cellular phenotypes induced by chemotherapeutic agents.

Indexed as

Genetic VariationAntineoplastic Agents, PhytogenicBlack PeopleCell LineCell ProliferationEtoposideGene Expression RegulationHumansInhibitory Concentration 50Linear ModelsOligonucleotide Array Sequence AnalysisOncogenesOxazinesPharmacogeneticsPolymorphism, Single NucleotideWhite PeopleAntineoplastic Agents, PhytogenicEtoposideOxazinesresazurinXanthenes

Identifiers

PMID17537913
PMCPMC1887589
OpenAlexW2021151787

What OpenQuestion holds

Textmetadata
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.