Evidence map›Paper›PMID 19202349›Full record

ReviewCancer biology & therapy2009

Lung cancer: developmental networks gone awry?

Jie Dong, Thomas Kislinger, Igor Jurisica, Dennis A Wigle

Abstract readReview
In one paragraph

Review in Cancer biology & therapy, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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.

Jie DongDivision of General Thoracic Surgery, Mayo Clinic Cancer Center, Mayo Clinic, Rochester, MN 55905, USA.
Thomas Kislinger
Igor Jurisica
Dennis A Wigle

Funding

Paul Calabresi Program in Clinical/Translational Research at Mayo ClinicK12CA090628 · NCI · MAYO CLINIC ROCHESTER · PI WEROHA, SARAVUT · 2001 to 2025
$19.7M
NCI NIH HHS K12 CA090628
6 · The paper itself

Abstract

High-throughput genomic data for both lung development and lung cancer continue to accumulate. Significant molecular intersection between these two processes has been hypothesized due to overlap in phenotypes and genomic variation. Examining the network biology of both cancer and development of the lung may shed functional light on the individual signaling modules involved. Stem cell biology may explain a portion of this network intersection and consequently studying lung organogenesis may have relevance for understanding lung cancer. This review summarizes our understanding of the potential overlapping mechanisms involved in lung development and lung tumorigenesis.

Indexed as

Gene Regulatory NetworksLung NeoplasmsGene Expression Regulation, DevelopmentalGene Expression Regulation, NeoplasticHumansLungOrganogenesisSignal TransductionStem Cells

Identifiers

PMID19202349
PMCPMC2930783

What OpenQuestion holds

Textmetadata
LicenceTDM
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.