Evidence map›Paper›PMID 37788883›Full record

ReviewCold Spring Harbor perspectives in medicine2024

Preclinical Modeling of Pathway-Targeted Therapy of Human Lung Cancer in the Mouse.

Aria Vaishnavi, Conan G Kinsey, Martin McMahon

Erratum issuedOpen access · bronzeAbstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Aria VaishnaviHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah 84112, USA.
Conan G KinseyHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah 84112, USA.
Martin McMahonHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah 84112, USA martin.mcmahon@hci.utah.edu.ORCID 0000-0003-2812-1042
University of Utah · US

Funding

Studying the initiation, progression and therapy of lung cancer in mouse modelsR01CA131261 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI MARTIN MCMAHON · 2009 to 2026
$5.3M
Resistance Mechanisms to Combined Trametinib and 4-aminoquinolones in the Inhibition of Pancreatic CancerK08CA230151 · NCI · UNIVERSITY OF UTAH · PI KINSEY, CONAN · 2020 to 2024
$1.4M
Elucidating the role of support signaling in promoting minimal residual disease in mouse models of oncogene-driven lung cancerR00CA246084 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI VAISHNAVI, ARIA · 2023 to 2025
$741k
Elucidating the role of support signaling in promoting minimal residual disease in mouse models of oncogene-driven lung cancerK99CA246084 · NCI · UNIVERSITY OF UTAH · PI VAISHNAVI, ARIA · 2020 to 2022
$347k
NCI NIH HHS K08 CA230151NCI NIH HHS K99 CA246084NCI NIH HHS R00 CA246084NCI NIH HHS R01 CA131261
6 · The paper itself

Abstract

Animal models, particularly genetically engineered mouse models (GEMMs), continue to have a transformative impact on our understanding of the initiation and progression of hematological malignancies and solid tumors. Furthermore, GEMMs have been employed in the design and optimization of potent anticancer therapies. Increasingly, drug responses are assessed in mouse models either prior, or in parallel, to the implementation of precision medical oncology, in which groups of patients with genetically stratified cancers are treated with drugs that target the relevant oncoprotein such that mechanisms of drug sensitivity or resistance may be identified. Subsequently, this has led to the design and preclinical testing of combination therapies designed to forestall the onset of drug resistance. Indeed, mouse models of human lung cancer represent a paradigm for how a wide variety of GEMMs, driven by a variety of oncogenic drivers, have been generated to study initiation, progression, and maintenance of this disease as well as response to drugs. These studies have now expanded beyond targeted therapy to include immunotherapy. We highlight key aspects of the relationship between mouse models and the evolution of therapeutic approaches, including oncogene-targeted therapies, immunotherapies, acquired drug resistance, and ways in which successful antitumor strategies improve on efficiently translating preclinical approaches into successful antitumor strategies in patients.

Indexed as

Lung NeoplasmsAnimalsDisease Models, AnimalGenetic EngineeringHumansMice

Identifiers

PMID37788883
PMCPMC10760064
OpenAlexW4387301814

What Socratic holds

Textmetadata
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 Socratic graph.