Evidence map›Paper›PMID 21577262›Full record

ArticleJournal of oncology2011

Hypermethylation of CCND2 May Reflect a Smoking-Induced Precancerous Change in the Lung.

Alexander Salskov, Stephen E Hawes, Joshua E Stern, Qinghua Feng, C Diana Jordan, Linda Wiens, Janet Rasey, Hiep Lu, Nancy B Kiviat, Hubert Vesselle

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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

10 authors at 1 institution in 1 country.

Alexander SalskovDivision of Nuclear Medicine, Department of Radiology, Box 357115, School of Medicine, University of Washington, Seattle, WA 98195-7115, USA.
Stephen E Hawes
Joshua E Stern
Qinghua Feng
C Diana Jordan
Linda Wiens
Janet Rasey
Hiep Lu
Nancy B Kiviat
Hubert Vesselle
University of Washington · US

Funding

Lung Cancer Prognosis: FLT PET and DNA HypermethylationR01CA115559 · NCI · UNIVERSITY OF WASHINGTON · PI VESSELLE, HUBERT J · 2005 to 2009
$2.7M
FLT PET to Plan the Best Therapy for Lung CancerR01CA107264 · NCI · UNIVERSITY OF WASHINGTON · PI VESSELLE, HUBERT J · 2004 to 2008
$2.0M
THE BIOLOGY OF LUNG CANCER-- FDG AND FLUOROTHYMIDINE PETR01CA080907 · NCI · UNIVERSITY OF WASHINGTON · PI VESSELLE, HUBERT J · 2000 to 2004
$1.8M
NCI NIH HHS R01 CA080907NCI NIH HHS R01 CA107264NCI NIH HHS R01 CA115559
6 · The paper itself

Abstract

It remains unknown whether tobacco smoke induces DNA hypermethylation as an early event in carcinogenesis or as a late event, specific to overt cancer tissue. Using MethyLight assays, we analyzed 316 lung tissue samples from 151 cancer-free subjects (121 ever-smokers and 30 never-smokers) for hypermethylation of 19 genes previously observed to be hypermethylated in nonsmall cell lung cancers. Only APC (39%), CCND2 (21%), CDH1 (7%), and RARB (4%) were hypermethylated in >2% of these cancer-free subjects. CCND2 was hypermethylated more frequently in ever-smokers (26%) than in never-smokers (3%). CCND2 hypermethylation was also associated with increased age and upper lobe sample location. APC was frequently hypermethylated in both ever-smokers (41%) and never-smokers (30%). BVES, CDH13, CDKN2A (p16), CDKN2B, DAPK1, IGFBP3, IGSF4, KCNH5, KCNH8, MGMT, OPCML, PCSK6, RASSF1, RUNX, and TMS1 were rarely hypermethylated (<2%) in all subjects. Hypermethylation of CCND2 may reflect a smoking-induced precancerous change in the lung.

Identifiers

PMID21577262
PMCPMC3090638
OpenAlexW2072993499

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.