Evidence map›Paper›PMID 11349214›Full record

ReviewPathology oncology research : POR2001

Molecular genetic abnormalities in the pathogenesis of human lung cancer.

E Forgacs, S Zöchbauer-Müller, E Oláh, J D Minna

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pathology oncology research : POR, 2001. 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
–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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. The Biological Role of PI3K Pathway in Lung Cancer.Pharmaceuticals (Basel, Switzerland) · 2012
    Article
  6. Review
  7. Targeting the eicosanoid pathway in non-small-cell lung cancer.Expert opinion on therapeutic targets · 2009
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Oncogenes come of age.Cold Spring Harbor symposia on quantitative biology · 2005
    Review
  15. Article
  16. Review
  17. Molecular characteristics of non-small cell lung cancer.Proceedings of the National Academy of Sciences of the United States of America · 2001
    Article
  18. 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

4 authors.

E ForgacsUniversity of Texas Southwestern Medical Center at Dallas, Hamon Center for Therapeutic Oncology Research, 6000 Harry Hines Blvd, Dallas 75390-8593, USA.
S Zöchbauer-Müller
E Oláh
J D Minna

Funding

UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GIBBONS, DON LYNN · 1996 to 2024
$57.4M
NCI NIH HHS P50 CA70907
6 · The paper itself

Abstract

In the past few years our knowledge of the molecular pathogenesis of lung cancer has significantly increased. There are several molecular mechanisms involved in the multistage carcinogenesis through which respiratory epithelial cells become preneoplastic and then invasive cancer. In this review we summarize some of these changes including, genomic alterations such as loss of heterozygosity and microsatellite alterations, autocrine-paracrine loops, alterations in oncogenes and tumor suppressor genes, tumor angiogenesis, aberrant promoter methylation and inherited predisposition to lung cancer. Translation of these findings to the clinic is also discussed.

Indexed as

ApoptosisCarcinoma, Non-Small-Cell LungCarcinoma, Small CellChromosome AberrationsDisease SusceptibilityGenes, Tumor SuppressorGrowth SubstancesHumansLung NeoplasmsMethylationMolecular BiologyNeoplasm ProteinsOncogenesPromoter Regions, GeneticStem CellsTobacco Smoke PollutionGrowth SubstancesNeoplasm ProteinsTobacco Smoke Pollution

Identifiers

PMID11349214

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.