Evidence map›Paper›PMID 33441747›Full record

ArticleScientific reports2021

Divergent immune landscapes of primary and syngeneic Kras-driven mouse tumor models.

Wade R Gutierrez, Amanda Scherer, Gavin R McGivney, Qierra R Brockman, Vickie Knepper-Adrian, Emily A Laverty, Grace A Roughton, Rebecca D Dodd

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

14 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Choosing the right animal model for sarcoma research.Cellular and molecular life sciences : CMLS · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. 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
    Article
  9. Article
  10. Article
  11. Article
  12. Emerging mechanisms of immunotherapy resistance in sarcomas.Cancer drug resistance (Alhambra, Calif.) · 2022
    Review
  13. Article
  14. 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

8 authors at 1 institution in 1 country.

Wade R GutierrezCancer Biology Graduate Program, Carver College of Medicine, University of Iowa, 285 Newton Rd, 3269C CBRB, Iowa City, IA, 52246, USA.
Amanda SchererHolden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, USA.
Gavin R McGivneyCancer Biology Graduate Program, Carver College of Medicine, University of Iowa, 285 Newton Rd, 3269C CBRB, Iowa City, IA, 52246, USA.
Qierra R BrockmanHolden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, USA.
Vickie Knepper-AdrianDepartment of Internal Medicine, University of Iowa, Iowa City, IA, USA.
Emily A LavertyDepartment of Internal Medicine, University of Iowa, Iowa City, IA, USA.
Grace A RoughtonDepartment of Internal Medicine, University of Iowa, Iowa City, IA, USA.
Rebecca D DoddCancer Biology Graduate Program, Carver College of Medicine, University of Iowa, 285 Newton Rd, 3269C CBRB, Iowa City, IA, 52246, USA. rebecca-dodd@uiowa.edu.
University of Iowa · US

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Christopher K Laubenthal · 2000 to 2026
$70.0M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007337 · NIGMS · UNIVERSITY OF IOWA · PI GEYER, PAMELA K., LENTZ, STEVEN R · 1985 to 2020
$15.9M
Predoctoral Training in the Pharmacological SciencesT32GM067795 · NIGMS · UNIVERSITY OF IOWA · PI STRACK, STEFAN · 2004 to 2021
$3.4M
NCI NIH HHS P30 CA086862NIGMS NIH HHS T32 GM007337NIGMS NIH HHS T32 GM067795
6 · The paper itself

Abstract

Immune cells play critical functions in cancer, and mice with intact immune systems are vital to understanding tumor immunology. Both genetically engineered mouse models (GEMMs) and syngeneic cell transplant approaches use immunocompetent mice to define immune-dependent events in tumor development and progression. Due to their rapid and reproducible nature, there is expanded interest in developing new syngeneic tools from established primary tumor models. However, few studies have examined the extent that syngeneic tumors reflect the immune profile of their originating primary models. Here, we describe comprehensive immunophenotyping of two well-established GEMMs and four new syngeneic models derived from these parental primary tumors. To our knowledge, this is the first systematic analysis comparing immune landscapes between primary and orthotopic syngeneic tumors. These models all use the same well-defined human-relevant driver mutations, arise at identical orthotopic locations, and are generated in mice of the same background strain. This allows for a direct and focused comparison of tumor immune landscapes in carefully controlled mouse models. We identify key differences between the immune infiltrate of GEMM models and their corresponding syngeneic tumors. Most notable is the divergence of T cell populations, with different proportions of CD8+ T cells and regulatory T cells across several models. We also observe immune variation across syngeneic tumors derived from the same primary model. These findings highlight the importance of immune variance across mouse modeling approaches, which has strong implications for the design of rigorous and reproducible translational studies.

Indexed as

AnimalsDisease Models, AnimalHumansImmunityMiceNeoplasmsProto-Oncogene Proteins p21(ras)T-LymphocytesHras protein, mouseProto-Oncogene Proteins p21(ras)

Identifiers

PMID33441747
PMCPMC7806664
OpenAlexW3119421870

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.