Evidence map›Paper›PMID 26109882›Full record

ArticleInterdisciplinary toxicology2014

Systems toxicology approaches enable mechanistic comparison of spontaneous and cigarette smoke-related lung tumor development in the A/J mouse model.

Karsta Luettich, Yang Xiang, Anita Iskandar, Alain Sewer, Florian Martin, Marja Talikka, Patrick Vanscheeuwijck, An Berges, Emilija Veljkovic, Ignacio Gonzalez-Suarez and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Interdisciplinary toxicology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

13 authors at 1 institution in 1 country.

Karsta LuettichBiological Systems Research, Philip Morris International Research and Development, CH-2000 Neuchâtel, Switzerland ; Both authors contributed equally to this manuscript.
Yang XiangBiological Systems Research, Philip Morris International Research and Development, CH-2000 Neuchâtel, Switzerland ; Both authors contributed equally to this manuscript.
Anita IskandarBiological Systems Research, Philip Morris International Research and Development, CH-2000 Neuchâtel, Switzerland.
Alain SewerBiological Systems Research, Philip Morris International Research and Development, CH-2000 Neuchâtel, Switzerland.
Florian MartinBiological Systems Research, Philip Morris International Research and Development, CH-2000 Neuchâtel, Switzerland.
Marja TalikkaBiological Systems Research, Philip Morris International Research and Development, CH-2000 Neuchâtel, Switzerland.
Patrick VanscheeuwijckBiological Systems Research, Philip Morris International Research and Development, CH-2000 Neuchâtel, Switzerland ; Philip Morris Research Laboratories bvba, 3001 Leuven, Belgium.
An BergesPhilip Morris Research Laboratories bvba, 3001 Leuven, Belgium.
Emilija VeljkovicBiological Systems Research, Philip Morris International Research and Development, CH-2000 Neuchâtel, Switzerland.
Ignacio Gonzalez-SuarezBiological Systems Research, Philip Morris International Research and Development, CH-2000 Neuchâtel, Switzerland.
Walter SchlageBiological Systems Research, Philip Morris International Research and Development, CH-2000 Neuchâtel, Switzerland.
Julia HoengBiological Systems Research, Philip Morris International Research and Development, CH-2000 Neuchâtel, Switzerland.
Manuel PeitschBiological Systems Research, Philip Morris International Research and Development, CH-2000 Neuchâtel, Switzerland.
Philip Morris International (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The A/J mouse is highly susceptible to lung tumor induction and has been widely used as a screening model in carcinogenicity testing and chemoprevention studies. However, the A/J mouse model has several disadvantages. Most notably, it develops lung tumors spontaneously. Moreover, there is a considerable gap in our understanding of the underlying mechanisms of pulmonary chemical carcinogenesis in the A/J mouse. Therefore, we examined the differences between spontaneous and cigarette smoke-related lung tumors in the A/J mouse model using mRNA and microRNA (miRNA) profiling. Male A/J mice were exposed whole-body to mainstream cigarette smoke (MS) for 18 months. Gene expression interaction term analysis of lung tumors and surrounding non-tumorous parenchyma samples from animals that were exposed to either 300 mg/m(3) MS or sham-exposed to fresh air indicated significant differential expression of 296 genes. Ingenuity Pathway Analysis(®) (IPA(®)) indicated an overall suppression of the humoral immune response, which was accompanied by a disruption of sphingolipid and glycosaminoglycan metabolism and a deregulation of potentially oncogenic miRNA in tumors of MS-exposed A/J mice. Thus, we propose that MS exposure leads to severe perturbations in pathways essential for tumor recognition by the immune system, thereby potentiating the ability of tumor cells to escape from immune surveillance. Further, exposure to MS appeared to affect expression of miRNA, which have previously been implicated in carcinogenesis and are thought to contribute to tumor progression. Finally, we identified a 50-gene expression signature and show its utility in distinguishing between cigarette smoke-related and spontaneous lung tumors.

Indexed as

A/J mousecigarette smoke exposuregene expressionlung tumorigenesismicroRNA (miRNA) expression

Identifiers

PMID26109882
PMCPMC4427718
OpenAlexW2063281635

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.