Evidence map›Paper›PMID 17495134›Full record

Trial reportBlood2007

Identification of genomic classifiers that distinguish induction failure in T-lineage acute lymphoblastic leukemia: a report from the Children's Oncology Group.

Stuart S Winter, Zeyu Jiang, Hadya M Khawaja, Timothy Griffin, Meenakshi Devidas, Barbara L Asselin, Richard S Larson, Children's Oncology Group

Erratum issuedAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Blood, 2007. 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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. UBE2Q1, as a Down Regulated Gene in Pediatric Acute Lymphoblastic Leukemia.International journal of molecular and cellular medicine · 2014
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Absence of biallelic TCRgamma deletion predicts early treatment failure in pediatric T-cell acute lymphoblastic leukemia.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2010
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

8 authors.

Stuart S WinterDepartment of Pediatrics, The University of New Mexico Health Sciences Center, Albuquerque, NM 87131-5311, USA. swinter@salud.unm.edu
Zeyu Jiang
Hadya M Khawaja
Timothy Griffin
Meenakshi Devidas
Barbara L Asselin
Richard S Larson
Children's Oncology Group

Funding

COG FOREIGN ACCRUALU10CA098543 · NCI · NATIONAL CHILDHOOD CANCER FOUNDATION · PI ADAMSON, PETER C. · 2003 to 2013
$335.5M
PEDIATRIC ONCOLOGY GROUP STATISTICAL OFFICEU10CA029139 · NCI · UNIVERSITY OF FLORIDA · PI DEVIDAS, MEENAKSHI · 1985 to 2002
$7.3M
Microenvironmental mechanisms of leukemia cell survivalR01CA114589 · NCI · UNIVERSITY OF NEW MEXICO · PI WINTER, STUART SHELDON · 2005 to 2009
$1.1M
T-ALL Stromal Cell Interaction and Patient OutcomeR21CA098251 · NCI · UNIVERSITY OF NEW MEXICO · PI LARSON, RICHARD S · 2003 to 2004
$300k
NCI NIH HHS R01 CA114589NCI NIH HHS R01 CA114589-01NCI NIH HHS R21 CA098251NCI NIH HHS R21 CA098251-01NCI NIH HHS U10 CA029139NCI NIH HHS U10 CA098543NCI NIH HHS U10 CA29139NCI NIH HHS U10 CA98543-03-14305
6 · The paper itself

Abstract

The clinical and cytogenetic features associated with T-cell acute lymphoblastic leukemia (T-ALL) are not predictive of early treatment failure. Based on the hypothesis that microarrays might identify patients who fail therapy, we used the Affymetrix U133 Plus 2.0 chip and prediction analysis of microarrays (PAM) to profile 50 newly diagnosed patients who were treated in the Children's Oncology Group (COG) T-ALL Study 9404. We identified a 116-member genomic classifier that could accurately distinguish all 6 induction failure (IF) cases from 44 patients who achieved remission; network analyses suggest a prominent role for genes mediating cellular quiescence. Seven genes were similarly upregulated in both the genomic classifier for IF patients and T-ALL cell lines having acquired resistance to neoplastic agents, identifying potential target genes for further study in drug resistance. We tested whether our classifier could predict IF within 42 patient samples obtained from COG 8704 and, using PAM to define a smaller classifier for the U133A chip, correctly identified the single IF case and patients with persistently circulating blasts. Genetic profiling may identify T-ALL patients who are likely to fail induction and for whom alternate treatment strategies might be beneficial.

Indexed as

Gene Expression Regulation, LeukemicGenes, NeoplasmGenome, HumanAdolescentAdultBlast CrisisChildChild, PreschoolFemaleGene Expression ProfilingHumansInfantLeukemia-Lymphoma, Adult T-CellMaleOligonucleotide Array Sequence AnalysisPredictive Value of Tests

Identifiers

PMID17495134
PMCPMC1975833

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.