Evidence map›Paper›PMID 26301807›Full record

ReviewThe Journal of clinical investigation2015

A robust in vivo model for B cell precursor acute lymphoblastic leukemia.

Terry J Fry, Peter D Aplan

Open access · bronzeAbstract readReview
In one paragraph

Review in The Journal of clinical investigation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

2 authors at 1 institution in 1 country.

Terry J Fry
Peter D Aplan
Pediatric Oncology Group · CA

Funding

Collaborative Pathways that Lead to LeukemiaZIABC010982 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI APLAN, PETER · 2009 to 2025
$8.7M
Activation of Proto-Oncogenes by Chromosomal TranslocationZIASC010378 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI APLAN, PETER · 2009 to 2025
$8.4M
Adoptive T cell Therapy for Pediatric LeukemiaZIABC011565 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI FRY, TERRY · 2014 to 2018
$5.2M
Optimizing the graft versus leukemia effect for pediatric ALLZIABC011295 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI FRY, TERRY · 2010 to 2018
$4.8M
Intramural NIH HHS ZIA BC010982Intramural NIH HHS ZIA BC011295Intramural NIH HHS ZIA BC011565Intramural NIH HHS ZIA SC010378
6 · The paper itself

Abstract

B cell precursor acute lymphoblastic leukemia (BCP ALL) is the most common malignancy in children. While treatments have improved remarkably over the past four decades, resistant disease and late effects that result from cytotoxic chemotherapy remain serious problems for individuals with BCP ALL. Improved genetic tools have led to the discovery of numerous somatic mutations associated with BCP ALL, leading to a framework for the genetic classification of BCP ALL. In this issue of the JCI, Duque-Afonso et al. develop an accurate in vivo model for BCP ALL that recapitulates the key features of human disease, including acquired mutations in genes encoding PAX5 and components of the JAK/STAT pathway. The authors further show, as proof of principle, that this model can be used to evaluate the efficacy of drugs designed to target specific acquired mutations in patients with BCP ALL.

Indexed as

Disease Models, AnimalMutationNeoplasm ProteinsPrecursor B-Cell Lymphoblastic Leukemia-LymphomaSignal TransductionAnimalsHumansJanus KinasesPAX5 Transcription FactorSTAT Transcription FactorsJanus KinasesNeoplasm ProteinsPAX5 protein, humanPAX5 Transcription FactorSTAT Transcription Factors

Identifiers

PMID26301807
PMCPMC4588242
OpenAlexW1824186126

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.