Evidence map›Paper›PMID 36875867›Full record

ArticleAnnual review of cancer biology2022

Novel Mouse Models for Cancer Immunology.

Kelli A Connolly, Brittany Fitzgerald, Martina Damo, Nikhil S Joshi

Open access · hybridAbstract read
In one paragraph

Article in Annual review of cancer biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Leveraging Microphysiological Systems to Facilitate Neutrophil-Based Cancer Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  17. Humanized mouse models for immuno-oncology research.Nature reviews. Clinical oncology · 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

4 authors at 1 institution in 1 country.

Kelli A ConnollyDepartment of Immunobiology, Yale University School of Medicine, New Haven, CT 06519, USA.ORCID 0000-0002-3403-1150
Brittany FitzgeraldDepartment of Immunobiology, Yale University School of Medicine, New Haven, CT 06519, USA.
Martina DamoDepartment of Immunobiology, Yale University School of Medicine, New Haven, CT 06519, USA.
Nikhil S JoshiDepartment of Immunobiology, Yale University School of Medicine, New Haven, CT 06519, USA.
Yale University · US

Funding

Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI MEGAN C KING · 1985 to 2026
$85.0M
INTERDISCIPLINARY IMMUNOLOGY TRAINING PROGRAMT32AI007019 · NIAID · YALE UNIVERSITY · PI Carrie L. Lucas, David G. Schatz · 1985 to 2026
$14.4M
Developing translationally-relevant genetically engineered mouse models of lung adenocarcinoma for investigations in cancer immunologyR01CA237037 · NCI · YALE UNIVERSITY · PI JOSHI, NIKHIL · 2020 to 2024
$2.7M
Investigating the development and maintenance of tumor-associated tertiary lymphoid structures in an autochthonous mouse model of lung adenocarcinomaK22CA200912 · NCI · YALE UNIVERSITY · PI JOSHI, NIKHIL · 2016 to 2018
$587k
NCI NIH HHS K22 CA200912NCI NIH HHS P30 CA016359NCI NIH HHS R01 CA237037NIAID NIH HHS T32 AI007019
6 · The paper itself

Abstract

Mouse models for the study of cancer immunology provide excellent systems in which to test biological mechanisms of the immune response against cancer. Historically, these models have been designed to have different strengths based on the current major research questions at the time. As such, many mouse models of immunology used today were not originally developed to study questions currently plaguing the relatively new field of cancer immunology, but instead have been adapted for such purposes. In this review, we discuss various mouse model of cancer immunology in a historical context as a means to provide a fuller perspective of each model's strengths. From this outlook, we discuss the current state of the art and strategies for tackling future modeling challenges.

Indexed as

Cancergenetically engineered animalImmunologyLaboratory mice

Identifiers

PMID36875867
PMCPMC9979244
OpenAlexW4206238669

What OpenQuestion holds

Textmetadata
LicenceTDM
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.