Evidence map›Paper›PMID 33707749›Full record

ReviewOncogene2021

Recent advances in preclinical models for lung squamous cell carcinoma.

Yuanwang Pan, Han Han, Kristen E Labbe, Hua Zhang, Kwok-Kin Wong

Abstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.8field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
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  11. Review
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  16. [Isoliquiritigenin Modulates the Effect of LINC01503 
on Lung Squamous Carcinoma Cells].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2024
    Article
  17. Article
  18. Article
  19. Cellular Origins and Lineage Plasticity in Cancer.Cold Spring Harbor perspectives in medicine · 2024
    Review
  20. Review
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

5 authors at 1 institution in 1 country.

Yuanwang Pan *Division of Hematology & Medical Oncology, Laura and Isaac Perlmutter Cancer Center, New York University Langone Medical Center, New York, NY, USA.ORCID http://orcid.org/0000-0002-6187-1139
Han Han *Division of Hematology & Medical Oncology, Laura and Isaac Perlmutter Cancer Center, New York University Langone Medical Center, New York, NY, USA.
Kristen E LabbeDivision of Hematology & Medical Oncology, Laura and Isaac Perlmutter Cancer Center, New York University Langone Medical Center, New York, NY, USA.ORCID http://orcid.org/0000-0001-6731-5849
Hua ZhangDivision of Hematology & Medical Oncology, Laura and Isaac Perlmutter Cancer Center, New York University Langone Medical Center, New York, NY, USA. Hua.Zhang@nyulangone.org.ORCID http://orcid.org/0000-0001-7704-4712
Kwok-Kin WongDivision of Hematology & Medical Oncology, Laura and Isaac Perlmutter Cancer Center, New York University Langone Medical Center, New York, NY, USA. Kwok-Kin.Wong@nyulangone.org.ORCID http://orcid.org/0000-0001-6323-235X
NYU Langone Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung squamous cell carcinoma (LUSC) represents a major subtype of non-small cell lung cancer with limited treatment options. Previous studies have elucidated the complex genetic landscape of LUSC and revealed multiple altered genes and pathways. However, in stark contrast to lung adenocarcinoma, few targetable driver mutations have been established so far and targeted therapies for LUSC remain unsuccessful. Immunotherapy has revolutionized LUSC treatment and is currently approved as the new standard of care. To gain a better understanding of the LUSC biology, improved modeling systems are urgently needed. Preclinical models, particularly those mimicking human disease with an intact tumor immune microenvironment, are an invaluable tool to study cancer development and evaluate new therapeutic targets. Here, we discuss recent advances in LUSC preclinical models, with a focus on genetically engineered mouse models (GEMMs) and organoids, in the context of evolving precision medicine and immunotherapy.

Indexed as

AnimalsCarcinoma, Squamous CellDisease Models, AnimalGenetic EngineeringHumansImmunotherapyLung NeoplasmsMice

Identifiers

PMID33707749
OpenAlexW3133736457

What OpenQuestion 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 OpenQuestion graph.