Evidence map›Paper›PMID 32456131›Full record

ArticleGenes2020

Distinct Tumor Microenvironments Are a Defining Feature of Strain-Specific CRISPR/Cas9-Induced MPNSTs.

Amanda Scherer, Victoria R Stephens, Gavin R McGivney, Wade R Gutierrez, Emily A Laverty, Vickie Knepper-Adrian, Rebecca D Dodd

Open access · goldAbstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. CDK4/6-MEK Inhibition in MPNSTs Causes Plasma Cell Infiltration, Sensitization to PD-L1 Blockade, and Tumor Regression.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
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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

7 authors at 1 institution in 1 country.

Amanda SchererDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52242, USA.
Victoria R StephensDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52242, USA.ORCID 0000-0002-8687-8505
Gavin R McGivneyHolden Comprehensive Cancer Center, University of Iowa, Iowa City, IA 52242, USA.ORCID 0000-0001-8544-9832
Wade R GutierrezHolden Comprehensive Cancer Center, University of Iowa, Iowa City, IA 52242, USA.ORCID 0000-0002-0643-3566
Emily A LavertyDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52242, USA.ORCID 0000-0002-9835-7563
Vickie Knepper-AdrianDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52242, USA.
Rebecca D DoddDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52242, USA.ORCID 0000-0001-7295-1882
University of Iowa · US

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Christopher K Laubenthal · 2000 to 2026
$70.0M
Project 4: Secondary Cancers Among NF1 Cancer SurvivorsU54CA196519 · NCI · INDIANA UNIVERSITY INDIANAPOLIS · PI David W Clapp, KEVIN M. SHANNON · 2015 to 2026
$26.9M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007337 · NIGMS · UNIVERSITY OF IOWA · PI GEYER, PAMELA K., LENTZ, STEVEN R · 1985 to 2020
$15.9M
TRAINING PROGRAM IN FREE RADICAL AND RADIATION BIOLOGYT32CA078586 · NCI · UNIVERSITY OF IOWA · PI SPITZ, DOUGLAS ROBERT · 1999 to 2024
$5.7M
Predoctoral Training in the Pharmacological SciencesT32GM067795 · NIGMS · UNIVERSITY OF IOWA · PI STRACK, STEFAN · 2004 to 2021
$3.4M
Iowa Post-Baccalaureate Research Education in the Biomedical SciencesR25GM116686 · NIGMS · UNIVERSITY OF IOWA · PI DOKUN, AYOTUNDE OLUROPO, WRIGHT, MICHAEL E · 2016 to 2020
$1.2M
NCI NIH HHS P30 CA086862NCI NIH HHS U54 CA196519NIGMS NIH HHS T32 GM007337NIGMS NIH HHS T32 GM067795NIH HHS P30 CA086862NIH HHS R25 GM116686NIH HHS T32 CA078586NIH HHS T32 GM067795
6 · The paper itself

Abstract

The tumor microenvironment plays important roles in cancer biology, but genetic backgrounds of mouse models can complicate interpretation of tumor phenotypes. A deeper understanding of strain-dependent influences on the tumor microenvironment of genetically-identical tumors is critical to exploring genotype-phenotype relationships, but these interactions can be difficult to identify using traditional Cre/loxP approaches. Here, we use somatic CRISPR/Cas9 tumorigenesis approaches to determine the impact of mouse background on the biology of genetically-identical malignant peripheral nerve sheath tumors (MPNSTs) in four commonly-used inbred strains. To our knowledge, this is the first study to systematically evaluate the impact of host strain on CRISPR/Cas9-generated mouse models. Our data identify multiple strain-dependent phenotypes, including changes in tumor onset and the immune microenvironment. While BALB/c mice develop MPNSTs earlier than other strains, similar tumor onset is observed in C57BL/6, 129X1 and 129/SvJae mice. Indel pattern analysis demonstrates that indel frequency, type and size are similar across all genetic backgrounds. Gene expression and IHC analysis identify multiple strain-dependent differences in CD4+ T cell infiltration and myeloid cell populations, including M2 macrophages and mast cells. These data highlight important strain-specific phenotypes of genomically-matched MPNSTs that have implications for the design of future studies using similar

Indexed as

AnimalsCarcinogenesisCD4-Positive T-LymphocytesCRISPR-Cas SystemsDisease Models, AnimalGene EditingGene Expression Regulation, NeoplasticGenetic Association StudiesHumansMiceMice, Inbred BALB CNeurofibrosarcomaTumor MicroenvironmentCRISPR/Cas9mouse modelsMPNSTsarcomatumor microenvironment

Identifiers

PMID32456131
PMCPMC7288323
OpenAlexW3027041768

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.