Evidence map›Paper›PMID 21828136›Full record

ArticleBlood2011

Cell of origin strongly influences genetic selection in a mouse model of T-ALL.

Katherine E Berquam-Vrieze, Kishore Nannapaneni, Benjamin T Brett, Linda Holmfeldt, Jing Ma, Oksana Zagorodna, Nancy A Jenkins, Neal G Copeland, David K Meyerholz, C Michael Knudson and 3 more

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Blood, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
12.6field-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

50 citing papers in PubMed, 84 citations in OpenAlex.

  1. Journal for immunotherapy of cancer · 2026
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  8. Lung Cancer Stem Cells and Their Clinical Implications.Cold Spring Harbor perspectives in medicine · 2022
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  11. Enhancer Hijacking Drives OncogenicCancer discovery · 2021
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  17. Histone lysine methyltransferases in biology and disease.Nature structural & molecular biology · 2019
    Review
  18. Article
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  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 2 countries.

Katherine E Berquam-VriezeDepartment of Anatomy and Cell Biology, University of Iowa, Iowa City, IA, USA.
Kishore Nannapaneni
Benjamin T Brett
Linda Holmfeldt
Jing Ma
Oksana Zagorodna
Nancy A Jenkins
Neal G Copeland
David K Meyerholz
C Michael Knudson
Charles G Mullighan
Todd E Scheetz
Adam J Dupuy
University of Iowa · USInstitute of Molecular and Cell Biology · SGSt. Jude Children's Research Hospital · US

Funding

PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM008629 · NIGMS · UNIVERSITY OF IOWA · PI EBERL, DANIEL F · 1997 to 2021
$4.1M
Identifying genetic mechanisms in T-ALL with an inducible Sleeping Beauty systemR01CA130867 · NCI · UNIVERSITY OF IOWA · PI DUPUY, ADAM J. · 2008 to 2011
$1.2M
NCI NIH HHS 5R01CA130867NCI NIH HHS R01 CA130867NIGMS NIH HHS T32 GM008629
6 · The paper itself

Abstract

Identifying the normal cell from which a tumor originates is crucial to understanding the etiology of that cancer. However, retrospective identification of the cell of origin in cancer is challenging because of the accumulation of genetic and epigenetic changes in tumor cells. The biologic state of the cell of origin likely influences the genetic events that drive transformation. We directly tested this hypothesis by performing a Sleeping Beauty transposon mutagenesis screen in which common insertion sites were identified in tumors that were produced by mutagenesis of cells at varying time points throughout the T lineage. Mutation and gene expression data derived from these tumors were then compared with data obtained from a panel of 84 human T-cell acute lymphoblastic leukemia samples, including copy number alterations and gene expression profiles. This revealed that altering the cell of origin produces tumors that model distinct subtypes of human T-cell acute lymphoblastic leukemia, suggesting that even subtle changes in the cell of origin dramatically affect genetic selection in tumors. These findings have broad implications for the genetic analysis of human cancers as well as the production of mouse models of cancer.

Indexed as

Disease Models, AnimalAnimalsCell TrackingGene DosageGene Expression ProfilingGene Expression Regulation, LeukemicHumansMiceMice, TransgenicMicroarray AnalysisModels, BiologicalMutagenesis, InsertionalOrgan SpecificityPolymorphism, Single NucleotidePrecursor T-Cell Lymphoblastic Leukemia-LymphomaSelection, Geneticsleeping beauty transposase, humanTransposases

Identifiers

PMID21828136
PMCPMC3208280
OpenAlexW2056156818

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.