Evidence map›Paper›PMID 21645942›Full record

ArticleLung cancer (Amsterdam, Netherlands)2011

Association of smoking with tumor size at diagnosis in non-small cell lung cancer.

Xing Chen, Ivan P Gorlov, Kelly W Merriman, Shih-Feng Weng, Millennia Foy, Gwendolyn Keener, Christopher I Amos, Margaret R Spitz, Marek Kimmel, Olga Y Gorlova

Abstract read
In one paragraph

Article in Lung cancer (Amsterdam, Netherlands), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Connections of nicotine to cancer.Nature reviews. Cancer · 2014
    Review
  5. From men to mice: CHRNA5/CHRNA3, smoking behavior and disease.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2012
    Review
  6. 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 2 institutions in 1 country.

Xing ChenDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. cnxingchen@gmail.com
Ivan P Gorlov
Kelly W Merriman
Shih-Feng Weng
Millennia Foy
Gwendolyn Keener
Christopher I Amos
Margaret R Spitz
Marek Kimmel
Olga Y Gorlova
The University of Texas MD Anderson Cancer Center · USRice University · US

Funding

UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GIBBONS, DON LYNN · 1996 to 2024
$57.4M
ECOGENETIC STUDY OF LUNG CANCER IN MINORITIESR01CA055769 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SPITZ, MARGARET R · 1991 to 2008
$5.3M
Training Program in Biostatistics for Cancer ResearchT32CA096520 · NCI · RICE UNIVERSITY · PI KIMMEL, MAREK, YUAN, YING · 2003 to 2023
$4.5M
Inflammation Genes and Lung Cancer RiskR01CA127219 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SPITZ, MARGARET R · 2008 to 2013
$3.1M
Modeling Lung Cancer: Risks, Progression, and ScreeningU01CA097431 · NCI · RICE UNIVERSITY · PI KIMMEL, MAREK · 2002 to 2009
$1.8M
The Odd-Even Effect of Polymorphic CA repeats in the 5' Regulatory Region of theR03CA128025 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GORLOV, IVAN P · 2007 to 2008
$154k
Tobacco Smoke Sensitive Genes and Genetic Susceptibility to Small-Cell Lung CanceR03CA133885 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GORLOV, IVAN P · 2008 to 2009
$154k
NCI NIH HHS 5 U01CA097431NCI NIH HHS CA55769NCI NIH HHS P50 CA070907NCI NIH HHS R01 CA055769NCI NIH HHS R01 CA127219NCI NIH HHS R03 CA128025NCI NIH HHS R03 CA133885NCI NIH HHS R03CA1338885NCI NIH HHS T32 CA096520NCI NIH HHS U01 CA097431PHS HHS R03128025
6 · The paper itself

Abstract

Tumor size at diagnosis (TSD) indirectly reflects tumor growth rate. The relationship between TSD and smoking is poorly understood. The aim of the study was to determine the relationship between smoking and TSD. We reviewed 1712 newly diagnosed and previously untreated non-small cell lung cancer (NSCLC) patients' electronic medical records and collected tumor characteristics. Demographic and epidemiologic characteristics were derived from questionnaires administered during personal interviews. Univariate and multivariate linear regression models were used to evaluate the relationship between TSD and smoking controlling for demographic and clinical factors. We also investigated the relationship between the rs1051730 SNP in an intron of the CHRNA3 gene (the polymorphism most significantly associated with lung cancer risk and smoking behavior) and TSD. We found a strong dose dependent relationship between TSD and smoking. Current smokers had largest and never smokers smallest TSD with former smokers having intermediate TSD. In the multivariate linear regression model, smoking status (never, former, and current), histological type (adenocarcinoma versus SqCC), and gender were significant predictors of TSD. Smoking duration and intensity may explain the gender effect in predicting TSD. We found that the variant allele of rs1051730 in CHRNA3 gene was associated with larger TSD of squamous cell carcinoma. In the multivariate linear regression model, both rs1051730 and smoking were significant predictors for the size of squamous carcinomas. We conclude that smoking is positively associated with lung tumor size at the moment of diagnosis.

Indexed as

Sex FactorsSmokingAgedCarcinoma, Non-Small-Cell LungDNA Mutational AnalysisFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingPolymorphism, Single NucleotidePrognosisReceptors, NicotinicReceptors, Nicotinic

Identifiers

PMID21645942
PMCPMC3197014
OpenAlexW1999027035

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.