Evidence map›Paper›PMID 22928112›Full record

ArticleBiochemistry research international2012

Genetic and biochemical alterations in non-small cell lung cancer.

Jackie L Johnson, Smitha Pillai, Srikumar P Chellappan

Abstract read
In one paragraph

Article in Biochemistry research international, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. The association ofJournal of Cancer · 2019
    Article
  12. Article
  13. Genetic variation inOncotarget · 2018
    Article
  14. Genetic polymorphisms in theCancer management and research · 2018
    Article
  15. Article
  16. Article
  17. Article
  18. Functional role of lncRNA DB327252 in lung cancer.Journal of thoracic disease · 2016
    Article
  19. Article
  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

3 authors.

Jackie L JohnsonCancer Biology Ph.D. Program, University of South Florida, Tampa, FL 33612, USA.
Smitha Pillai
Srikumar P Chellappan

Funding

Role of Beta-arrestin-1 and Src in nAChR Signaling and Lung CaancerR01CA127725 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI CHELLAPPAN, SRIKUMAR P. · 2008 to 2012
$1.7M
Role of Id1 in NSCLC Progression and MetastasisR01CA139612 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI CHELLAPPAN, SRIKUMAR P. · 2009 to 2013
$1.4M
NCI NIH HHS R01 CA127725NCI NIH HHS R01 CA139612
6 · The paper itself

Abstract

Despite significant advances in the detection and treatment of lung cancer, it causes the highest number of cancer-related mortality. Recent advances in the detection of genetic alterations in patient samples along with physiologically relevant animal models has yielded a new understanding of the molecular etiology of lung cancer. This has facilitated the development of potent and specific targeted therapies, based on the genetic and biochemical alterations present in the tumor, especially non-small-cell lung cancer (NSCLC). It is now clear that heterogeneous cell signaling pathways are disrupted to promote NSCLC, including mutations in critical growth regulatory proteins (K-Ras, EGFR, B-RAF, MEK-1, HER2, MET, EML-4-ALK, KIF5B-RET, and NKX2.1) and inactivation of growth inhibitory pathways (TP53, PTEN, p16, and LKB-1). How these pathways differ between smokers and non-smokers is also important for clinical treatment strategies and development of targeted therapies. This paper describes these molecular targets in NSCLC, and describes the biological significance of each mutation and their potential to act as a therapeutic target.

Identifiers

PMID22928112
PMCPMC3426175

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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.