Evidence map›Paper›PMID 30225211›Full record

ReviewTranslational lung cancer research2018

Autochthonous murine models for the study of smoker and never-smoker associated lung cancers.

Esra A Akbay, James Kim

Abstract readReview
In one paragraph

Review in Translational lung cancer research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. CRISPR/Cas9-Mediated Genome Editing in Cancer Therapy.International journal of molecular sciences · 2023
    Review
  6. Review
  7. Review
  8. Article
  9. Current methods in translational cancer research.Cancer metastasis reviews · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Investigating Tumor Heterogeneity in Mouse Models.Annual review of cancer biology · 2020
    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

2 authors.

Esra A AkbayDepartment of Pathology, University of Texas Southwestern, Dallas, TX 75208, USA.
James KimHarold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern, Dallas, TX 75208, USA.

Funding

UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI HEYMACH, JOHN V., MINNA, JOHN D. · 1996 to 2024
$57.4M
Targeting vismodegib-resistant tumors using BH3 mimeticsR01CA196851 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI KIM, JAMES · 2016 to 2020
$1.7M
NCI NIH HHS P50 CA070907NCI NIH HHS R01 CA196851
6 · The paper itself

Abstract

Lung cancer accounts for the greatest number of cancer deaths in the world. Tobacco smoke-associated cancers constitute the majority of lung cancer cases but never-smoker cancers comprise a significant and increasing fraction of cases. Recent genomic and transcriptomic sequencing efforts of lung cancers have revealed distinct sets of genetic aberrations of smoker and never-smoker lung cancers that implicate disparate biology and therapeutic strategies. Autochthonous mouse models have contributed greatly to our understanding of lung cancer biology and identified novel therapeutic targets and strategies in the era of targeted therapy. With the emergence of immuno-oncology, mouse models may continue to serve as valuable platforms for novel biological insights and therapeutic strategies. Here, we will review the variety of available autochthonous mouse models of lung cancer, their relation to human smoker and never-smoker lung cancers, and their application to immuno-oncology and immune checkpoint blockade that is revolutionizing lung cancer therapy.

Indexed as

Lung cancermouse modelsnever-smokersmoker

Identifiers

PMID30225211
PMCPMC6131182

What OpenQuestion holds

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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.