Evidence map›Paper›PMID 36037073›Full record

ArticleDisease models & mechanisms2022

Genetically diverse mouse platform to xenograft cancer cells.

Jennifer K Sargent, Mark A Warner, Benjamin E Low, William H Schott, Todd Hoffert, David Coleman, Xing Yi Woo, Todd Sheridan, Sonia Erattupuzha, Philipp P Henrich and 4 more

Open access · goldAbstract read
In one paragraph

Article in Disease models & mechanisms, 2022. 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
1.7field-weighted citation impact, top 14% 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. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Methods to study xenografted human cancer in genetically diverse mice.bioRxiv : the preprint server for biology · 2024
    Article
  9. Blank Spots in the Map of Human Skin: The Challenge for Xenotransplantation.International journal of molecular sciences · 2023
    Review
  10. Article
  11. Article
  12. Review
  13. Sharing resources to advance translational research.Disease models & mechanisms · 2022
    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

14 authors at 2 institutions in 1 country.

Jennifer K SargentThe Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA.
Mark A WarnerThe Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA.
Benjamin E LowThe Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA.
William H SchottThe Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA.
Todd HoffertThe Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA.
David ColemanThe Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA.
Xing Yi WooThe Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT 06032, USA.ORCID 0000-0002-5980-4383
Todd SheridanThe Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT 06032, USA.
Sonia ErattupuzhaThe Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA.ORCID 0000-0001-8183-6261
Philipp P HenrichThe Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA.ORCID 0000-0001-5126-707X
Vivek M PhilipThe Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA.
Jeffrey H ChuangThe Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT 06032, USA.ORCID 0000-0002-3298-2358
Michael V WilesThe Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA.
Muneer G HashamThe Jackson Laboratory for Mouse Genetics, 600 Main Street, Bar Harbor, ME 04609, USA.ORCID 0000-0002-4498-0210
Jackson Laboratory · USHartford Hospital · US

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI William Carl Skarnes · 1985 to 2026
$61.9M
PDXNet Data Commons and Coordinating CenterU24CA224067 · NCI · JACKSON LABORATORY · PI Jeffrey Hsu-Min Chuang · 2017 to 2026
$9.8M
Impact of Genetic Diversity on Human Xenograft Tumor GrowthR33CA247669 · NCI · JACKSON LABORATORY · PI HASHAM, MUNEER GULAMHUSEIN · 2020 to 2022
$1.3M
NCI NIH HHS P30 CA034196NCI NIH HHS R33 CA247669NCI NIH HHS U24 CA224067
6 · The paper itself

Abstract

The lack of genetically diverse preclinical animal models in basic biology and efficacy testing has been cited as a potential cause of failure in clinical trials. We developed and characterized five diverse RAG1 null mouse strains as models that allow xenografts to grow. In these strains, we characterized the growth of breast cancer, leukemia and glioma cell lines. We found a wide range of growth characteristics that were far more dependent on strain than tumor type. For the breast cancer cell line, we characterized the spectrum of xenograft/tumor growth at structural, histological, cellular and molecular levels across each strain, and found that each strain captures unique structural components of the stroma. Furthermore, we showed that the increase in tumor-infiltrating myeloid CD45+ cells and the amount of circulating cytokine IL-6 and chemokine KC (also known as CXCL1) is associated with a higher tumor size in different strains. This resource is available to study established human xenografts, as well as difficult-to-xenograft tumors and growth of hematopoietic stems cells, and to decipher the role of myeloid cells in the development of spontaneous cancers.

Indexed as

Breast NeoplasmsAnimalsCell Line, TumorDisease Models, AnimalFemaleHeterograftsHumansMiceMice, KnockoutTransplantation, HeterologousXenograft Model Antitumor AssaysCancerGenetic diversityMouse modelsXenograft

Identifiers

PMID36037073
PMCPMC9459392
OpenAlexW4293458345

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.