Evidence map›Paper›PMID 19299336›Full record

ArticleBlood2009

Genome-wide association study to identify novel loci associated with therapy-related myeloid leukemia susceptibility.

Jeffrey A Knight, Andrew D Skol, Abhijit Shinde, Darcie Hastings, Richard A Walgren, Jin Shao, Thelma R Tennant, Mekhala Banerjee, James M Allan, Michelle M Le Beau and 4 more

Open access · bronzeAbstract readMulticenter StudyValidation Study
In one paragraph

Article in Blood, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
11.4field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 99 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Therapy-related acute myeloid leukemia and its prevention.American journal of blood research · 2020
    Review
  8. Article
  9. Risk, Risk Factors, and Surveillance of Subsequent Malignant Neoplasms in Survivors of Childhood Cancer: A Review.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
    Review
  10. Article
  11. Role of Germline Genetics in Identifying Survivors at Risk for Adverse Effects of Cancer Treatment.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2018
    Review
  12. Review
  13. Article
  14. National Institutes of Health Hematopoietic Cell Transplantation Late Effects Initiative: The Subsequent Neoplasms Working Group Report.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2017
    Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Review
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

14 authors at 4 institutions in 2 countries.

Jeffrey A KnightCommittee on Cancer Biology, University of Chicago, IL 60637, USA.
Andrew D Skol
Abhijit Shinde
Darcie Hastings
Richard A Walgren
Jin Shao
Thelma R Tennant
Mekhala Banerjee
James M Allan
Michelle M Le Beau
Richard A Larson
Timothy A Graubert
Nancy J Cox
Kenan Onel
University of Chicago · USWashington University in St. Louis · USCancer Research Center · USNewcastle University · GB

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI MARK W. LINGEN · 1985 to 2026
$122.1M
Specimen Acquistition and Expression ProfilingP01CA101937 · NCI · WASHINGTON UNIVERSITY · PI LEY, TIMOTHY J. · 2003 to 2023
$58.8M
UCCRC--ETIOLOGY OF TREATMENT-INDUCED SECONDARY LEUKEMIAP01CA040046 · NCI · UNIVERSITY OF CHICAGO · PI LE BEAU, MICHELLE M · 1985 to 2012
$19.9M
PRE-AND POSTGRADUATE TRAINING IN MOLECULAR HEMATOLOGYT32HL007088 · NHLBI · WASHINGTON UNIVERSITY · PI Grant Anthony Challen, Stephen Oh · 1985 to 2026
$14.1M
NCI NIH HHS CA101937NCI NIH HHS CA14599NCI NIH HHS CA40046NCI NIH HHS P01 CA040046NCI NIH HHS P01 CA101937NCI NIH HHS P30 CA014599NHLBI NIH HHS HL007088NHLBI NIH HHS T32 HL007088NICHD NIH HHS HD0433871
6 · The paper itself

Abstract

Therapy-related acute myeloid leukemia (t-AML) is a rare but fatal complication of cytotoxic therapy. Whereas sporadic cancer results from interactions between complex exposures and low-penetrance alleles, t-AML results from an acute exposure to a limited number of potent genotoxins. Consequently, we hypothesized that the effect sizes of variants associated with t-AML would be greater than in sporadic cancer, and, therefore, that these variants could be detected even in a modest-sized cohort. To test this, we undertook an association study in 80 cases and 150 controls using Affymetrix Mapping 10K arrays. Even at nominal significance thresholds, we found a significant excess of associations over chance; for example, although 6 associations were expected at P less than .001, we found 15 (P(enrich) = .002). To replicate our findings, we genotyped the 10 most significantly associated single nucleotide polymorphisms (SNPs) in an independent t-AML cohort (n = 70) and obtained evidence of association with t-AML for 3 SNPs in the subset of patients with loss of chromosomes 5 or 7 or both, acquired abnormalities associated with prior exposure to alkylator chemotherapy. Thus, we conclude that the effect of genetic factors contributing to cancer risk is potentiated and more readily discernable in t-AML compared with sporadic cancer.

Indexed as

Genetic Predisposition to DiseaseQuantitative Trait LociAdolescentAdultAgedAged, 80 and overCase-Control StudiesCohort StudiesFemaleGenome-Wide Association StudyHumansLeukemia, MyeloidMaleMiddle AgedNeoplasms, Second PrimaryPolymorphism, Single Nucleotide

Identifiers

PMID19299336
PMCPMC2689055
OpenAlexW2079671151

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.