Evidence map›Paper›PMID 32768438›Full record

ArticleExperimental hematology2020

Heritable genetic background alters survival and phenotype of Mll-AF9-induced leukemias.

Kira Young, Matthew A Loberg, Elizabeth Eudy, Logan S Schwartz, Kristina D Mujica, Jennifer J Trowbridge

Open access · greenAbstract read
In one paragraph

Article in Experimental hematology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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  3. Review
  4. 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

6 authors at 1 institution in 1 country.

Kira YoungThe Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME.
Matthew A LobergThe Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME.
Elizabeth EudyThe Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME.
Logan S SchwartzThe Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME.
Kristina D MujicaThe Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME.
Jennifer J TrowbridgeThe Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME. Electronic address: jennifer.trowbridge@jax.org.
Jackson Laboratory · US

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI William Carl Skarnes · 1985 to 2026
$61.9M
Developing Effective Approaches to Extend Hematopoietic Healthspan by Targeting Cell-Extrinsic and Cell-Intrinsic Alterations at Middle AgeR01DK118072 · NIDDK · JACKSON LABORATORY · PI Jennifer Jean Trowbridge · 2018 to 2026
$4.2M
REPRODUCTIVE BIOLOGYT32HD007065 · NICHD · JACKSON LABORATORY · PI BRAUN, ROBERT E · 1985 to 2020
$2.6M
Discovery of Aging-Associated Mechanisms Causing Expansion and Progression of Clonal Hematopoiesis of Indeterminant Potential (CHIP)R01AG069010 · NIA · JACKSON LABORATORY · PI TROWBRIDGE, JENNIFER JEAN · 2020 to 2024
$2.4M
(PQB5) Epigenetic Drivers of Hematopoietic Stem Cell TransformationR21CA184851 · NCI · JACKSON LABORATORY · PI TROWBRIDGE, JENNIFER JEAN · 2014 to 2015
$426k
Aging-induced Alterations in the Microenvironment as Drivers of Myeloid Lineage SkewingR56DK112947 · NIDDK · JACKSON LABORATORY · PI TROWBRIDGE, JENNIFER JEAN · 2017 to 2017
$150k
NCI NIH HHS P30 CA034196NCI NIH HHS R21 CA184851NIA NIH HHS R01 AG069010NICHD NIH HHS T32 HD007065NIDDK NIH HHS R01 DK118072NIDDK NIH HHS R56 DK112947
6 · The paper itself

Abstract

The MLL-AF9 fusion protein occurring as a result of t(9;11) translocation gives rise to pediatric and adult acute leukemias of distinct lineages, including acute lymphoblastic leukemia (ALL), acute myeloid leukemia (AML), and mixed-phenotype acute leukemia (MPAL). The mechanisms underlying how this same fusion protein results in diverse leukemia phenotypes among different individuals are not well understood. Given emerging evidence from genome-wide association studies that genetic risk factors contribute to MLL-rearranged leukemogenesis, here we tested the impact of genetic background on survival and phenotype of a well-characterized Mll-AF9 knockin mouse model. We crossed this model with five distinct inbred strains (129, A/J, C57BL/6, NOD, CAST) and tested their F1 hybrid progeny for dominant genetic effects on Mll-AF9 phenotypes. We discovered that genetic background altered peripheral blood composition, with Mll-AF9 CAST F1 having a significantly increased B-lymphocyte frequency, while the remainder of the strains exhibited myeloid-biased hematopoiesis, similar to the parental line. Genetic background also had an impact on overall survival, with Mll-AF9 A/J F1 and Mll-AF9 129 F1 having significantly shorter survival and Mll-AF9 CAST F1 having longer survival, compared with the parental line. Furthermore, we observed a range of hematologic malignancies, with Mll-AF9 A/J F1, Mll-AF9 129 F1, and Mll-AF9 B6 F1 developing exclusively myeloid cell malignancies (myeloproliferative disorder [MPD] and AML), whereas a subset of Mll-AF9 NOD F1 developed MPAL and Mll-AF9 CAST F1 developed ALL. This study provides a novel in vivo experimental model in which to evaluate the underlying mechanisms by which MLL-AF9 results in diverse leukemia phenotypes and provides definitive experimental evidence that genetic risk factors contribute to survival and phenotype of MLL-rearranged leukemogenesis.

Indexed as

Gene Expression Regulation, LeukemicAnimalsCarcinogenesisCell LineageDisease ProgressionFemaleGene Knock-In TechniquesGenetic Predisposition to DiseaseHumansLeukemia, Biphenotypic, AcuteLeukemia, Myeloid, AcuteLymphocyte CountLymphocytesMaleMiceMice, Inbred C57BLMLL-AF9 fusion protein, mouseOncogene Proteins, Fusion

Identifiers

PMID32768438
PMCPMC7508790
OpenAlexW3047148159

What OpenQuestion holds

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Registered trials

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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.