Increased methylation of lung cancer-associated genes in sputum DNA of former smokers with chronic mucous hypersecretion
- Shannon Bruse†1,
- Hans Petersen†1,
- Joel Weissfeld2,
- Maria Picchi1,
- Randall Willink1,
- Kieu Do1,
- Jill Siegfried2,
- Steven A Belinsky1 and
- Yohannes Tesfaigzi1Email author
© Bruse et al.; licensee BioMed Central Ltd. 2014
Received: 12 September 2013
Accepted: 18 December 2013
Published: 9 January 2014
Chronic mucous hypersecretion (CMH) contributes to COPD exacerbations and increased risk for lung cancer. Because methylation of gene promoters in sputum has been shown to be associated with lung cancer risk, we tested whether such methylation was more common in persons with CMH.
Eleven genes commonly silenced by promoter methylation in lung cancer and associated with cancer risk were selected. Methylation specific PCR (MSP) was used to profile the sputum of 900 individuals in the Lovelace Smokers Cohort (LSC). Replication was performed in 490 individuals from the Pittsburgh Lung Screening Study (PLuSS).
CMH was significantly associated with an overall increased number of methylated genes, with SULF2 methylation demonstrating the most consistent association. The association between SULF2 methylation and CMH was significantly increased in males but not in females both in the LSC and PLuSS (OR = 2.72, 95% CI = 1.51-4.91, p = 0.001 and OR = 2.97, 95% CI = 1.48-5.95, p = 0.002, respectively). Further, the association between methylation and CMH was more pronounced among 139 male former smokers with persistent CMH compared to current smokers (SULF2; OR = 3.65, 95% CI = 1.59-8.37, p = 0.002).
These findings demonstrate that especially male former smokers with persistent CMH have markedly increased promoter methylation of lung cancer risk genes and potentially could be at increased risk for lung cancer.
KeywordsMethylation of gene promoters Persistent cough and phlegm Sputum DNA Former smoker Lung cancer genes
Chronic obstructive pulmonary disorder (COPD) is predicted to become the third leading cause of death worldwide by 2020 . Prevalence is increasing both in developing and developed countries as a result of tobacco consumption [2, 3], environmental exposures such as pollution and biomass fuel smoke [4, 5] and the growing elderly population . Clinically, COPD is defined by the presence of poorly reversible airflow obstruction, although this definition simplifies the complex causes and manifestations of the disease . Chronic mucous hypersecretion (CMH), characterized by persistent mucous cell metaplasia in the epithelial layer and submucosal glands of the respiratory tract, is a clinically important COPD phenotype . CMH leads to worse respiratory symptoms, greater susceptibility to respiratory infections, more frequent COPD exacerbations, and increased risk of mortality [9–14].
Numerous publications, and two recent meta-analyses, have determined that prior CMH significantly increases the risk for later lung cancer [15, 16]. While smoking clearly contributes to both diseases, analyses controlling for smoking have demonstrated that the association between lung cancer and prior CMH is at least partially independent of smoking [15, 16]. It is therefore plausible that CMH and lung cancer have some shared molecular pathology. Previous case–control studies of incident lung cancer assessing the same genes as in the current study demonstrated that promoter methylation of these genes is associated with lung cancer risk [17, 18].
The goal of this study was to determine whether there was any association between CMH and prevalence of methylation of promoters in lung cancer-predictive genes in sputum DNA of smokers. Therefore, methylation specific PCR (MSP) was used to assess promoter methylation of eleven genes in sputum samples of smokers from the Lovelace Smokers Cohort (LSC). Replication was performed in smokers from the Pittsburgh Lung Screening Study (PLuSS).
This study is approved by the Western Institutional Review Board (Olympia, WA; #20031684) and all subjects signed informed consent for their participation. The catchment area for the LSC was the Albuquerque, NM metropolitan area, comprising a population of approximately 850,000 persons. Inclusion criteria for entry into the current study were age 40 to 75 years, current or former cigarette smoking (with a minimum of 10 pack-years) upon entry into the study, and ability to understand English. The LSC disproportionately enrolled women ever-smokers to study the susceptibility to the development of smoking-related lung diseases since women are underrepresented in most such studies in the United States. Detailed characteristics of the LSC have been described elsewhere [19, 20]. From the LSC cohort, 311 non-Hispanic white (NHW) individuals meeting the criteria for CMH were included along with 589 NHW current or former smoking controls. Current and former smoking was assessed by self-report at baseline concurrent with sputum sampling. Former smokers are those who have stopped smoking for at least 2 years prior to self-report.
Study participants for the replication cohort were from the Pittsburgh Lung Screening Study (PLuSS), a volunteer cohort established to investigate lung cancer biomarkers in an at-risk population of smokers which has previously been described [21, 22]. From the total cohort (n = 3638), 490 NHW individuals (183 men and 307 women) had information allowing classification with respect to chronic mucous hypersecretion and had provided sputum for DNA isolation. Spirometric testing procedures have previously been described for both the PLuSS and the LSC [19, 21].
Because a unifying definition for CMH was not available in both cohorts two criteria were used to define CMH: In the LSC, CMH was defined as present in participants that had self-reported cough productive of phlegm for at least 3 months per year for at least 2 consecutive years (ie. the standard definition of chronic bronchitis). In the PLuSS, CMH was defined as self-reported cough productive of phlegm as assessed by both a first and second questionnaire (with a median questionnaire interval of 3.5 years), and self-reported cough producing phlegm for “most days a week” or “several days a week” in the past year, as assessed by the second questionnaire.
Methylation specific PCR
Nested MSP assays were used to detect methylation of cytosines at cytosine-phosphate-guanine sites in DNA recovered from the sputum samples, as previously described [23, 24]. We studied the promoter methylation of a panel of eleven tumor suppressor genes with previously identified roles in predicting lung cancer risk [17, 18]. These genes included PCDH-20 (Protocadherin); SULF-2 (6-O-endosulfatase 2); GATA binding protein-4 and −5 transcription factors; PAX-5α and PAX-5β (paired box protein transcription factors); p16; MGMT (O (6)-methylguanine-DNA methyltransferase); DAPK (Death-associated protein kinase); DAL-1 (Differentially expressed in adenocarcinoma of the lung); and JPH-3 (Junctophilin). Methylation by this technique was scored positive or negative, as previously described .
Chi-square and Fisher’s exact tests were used for the univariate analyses of categorical variables, while two-sample t-tests and Kruskal-Wallis tests were used for continuous variables. For multivariable analyses of CMH, logistic regression was performed. Predictors included gene specific methylation prevalence, and also total methylation (continuous variable representing the sum of genes methylated within an individual). Additional predictors included age, education (dichotomized as at least high school or less than high school education), COPD status, sex, pack-years smoking, and current smoking status. When the LSC and PLuSS were combined for analyses adjustment for cohort was included. Model fitting iterations were performed with the R package glmulti using the small sample size corrected Akiake information criterion to determine best-fitting models . All statistical analyses were performed in R version 2.12.0 or SAS version 9.2.
CMH is associated with higher prevalence of gene promoter methylation in smokers
Select variables by CMH status in the LSC
n = 900
n = 311
n = 589
n or mean
(%) or (SD)
n or mean
(%) or (SD)
n or mean
(%) or (SD)
Education > = HS*
Select variables by CMH status in the PLuSS
n = 490
n = 140
n = 350
n or mean
(%) or (SD)
n or mean
(%) or (SD)
n or mean
(%) or (SD)
Education > = HS*
Odds ratios for CMH in adjusted* analyses
LSC n = 900
PLuSS n = 490
Combined n = 1390
(95 % CL)
(95 % CL)
(95 % CL)
Analyses combining the two cohorts were also performed. In both unadjusted (Additional file 1: Table S1) and adjusted (Table 3) analysis in the combined cohorts, total methylation was higher in those with CMH than in those with an absence of CMH, as was methylation prevalence of SULF2, JPH3, p16 and PCDH20 (p < 0.01, all analyses). Additional factors associated with CMH were younger age, less education, having COPD, greater pack years, and current smoking (p < 0.01, all analyses, Additional file 1: Table S1). Additional modeling was performed that included two-way interaction terms for baseline COPD, pack years and methylation, total or individual gene for the combined cohort of LSC and PLuSS cohorts. These interaction terms were not significant for total methylation, Sulf-2, or PCDH20, each of which showed significant association with CMH within the LSC, the PluSS cohort, and the combination of both cohorts. These findings suggest methylation is an independent risk for CMH.
The association between CMH and gene promoter methylation is stronger in males
Odds ratios for CMH in sex stratified adjusted* analyses
LSC n = 227
PLuSS n = 183
Combined n = 410
(95 % CL)
(95 % CL)
(95 % CL)
LSC n = 673
PLuSS n = 307
Combined n = 980
(95 % CL)
(95 % CL)
(95 % CL)
The association between CMH and gene promoter methylation is stronger in former smokers
Odds ratios for CMH in adjusted* analyses of current and former smokers
LSC former smokers n = 406
PLuSS former smokers n = 155
Combined former smokers n = 561
(95 % CL)
(95 % CL)
(95 % CL)
LSC current smokers n = 494
PLuSS current smokers n = 335
Combined current smokers n = 829
(95 % CL)
(95 % CL)
(95 % CL)
Odds ratios for CMH in sex stratified adjusted* analyses of current and former smokers
Current smokers n = 269
Former smokers n = 139
(95 % CL)
(95 % CL)
Current smokers n = 560
Former smokers n = 410
(95 % CL)
(95 % CL)
Sputum methylation is a sensitive and specific predictor of CMH in male former smokers
This study demonstrates a significant association between CMH and prevalence of promoter methylation in sputum of lung cancer risk genes in two geographically distinct cohorts. This association was especially strong in males and in former smokers, and SULF2 was the most consistently associated gene. Importantly, the overall association between CMH and methylation, and the specific effects of sex and smoking status, were observed independently in both cohorts. Combining the two cohorts strengthened the statistical significance of these associations. The central finding of our study is that male former smokers with unresolved CMH may be at an increased risk of lung cancer. Given that 50% of persons diagnosed with lung cancer are former smokers, prospective studies evaluating the methylation status of former smokers with CMH who subsequently develop lung cancer are needed .
The eleven genes examined in this study were selected based on prior evidence that they are associated with lung cancer risk [17, 18]. Therefore, increased prevalence of methylation of these genes may predict lung cancer among subjects with CMH. These gene promoters have all been shown to be methylated in tumors [27, 28], and are proposed to represent an expanding field of precancerous epigenetic changes in the aerodigestive tract of smokers [17, 29]. This hypothesis is supported by the observation that the methylation prevalence of these gene promoters increases as the time to lung cancer diagnosis decreases . Mounting evidence indicates that these changes are causal for tumor initiation [30–33].
The association between methylation and CMH was markedly stronger in males than in females (Table 4). Univariate analysis of males and females in both cohorts (Additional file 1: Tables S3 and S4) reveals that females with CMH are significantly younger than female controls in the LSC; however this was not true in the PLuSS. Additionally age was a covariate in all adjusted analyses and thus is unlikely to account for the lack of association between methylation and CMH in females. This apparent protective mechanism in females warrants further study. The association between methylation and CMH was also stronger in former than in current smokers (Table 5). The increase in effect size in former smokers may be due to several reasons: (1) the CMH phenotype in former smokers may not be confounded by cough and phlegm caused by irritation due to current smoking; (2) in susceptible smokers, CMH that persists in spite of smoking cessation may represent a phenotype with a more distinct molecular pathology; (3) The association between CMH and gene promoter methylation may be stronger with age. In the LSC and PLuSS cohorts, former smokers were significantly older than current smokers (mean age difference 4.2 years, data not shown). This age difference between former and current smokers also likely explains the puzzling observation that current smokers have lower overall methylation compared to former smokers (Additional file 1: Table S2); current smokers are younger, and younger age is associated with less total methylation in these lung cancer risk genes.
Numerous studies have demonstrated that prior CMH significantly increases the risk for later development of lung cancer (reviewed in [15, 16]). Assessment of the latency period between diagnosis of CMH and diagnosis of lung cancer has shown that this risk increases with time since diagnosis of CMH . In one study , the odds ratio nearly quadrupled at latency >15 years compared to latency 1–5 years. Importantly, this suggests that CMH may serve as a precursor to lung carcinogenesis . We hypothesize that the increased prevalence for methylation of the lung cancer risk genes seen in this study may help explain the epidemiological link between CMH and lung cancer. Further studies are needed to establish a direct link between gene methylation and lung cancer. Interestingly, while SULF2, p16, JPH3, and PCDH20 all demonstrate evidence for association with CMH in the current study, a previous study determined that GATA4 promoter methylation was associated with airflow obstruction . These findings suggest that major differences exist in the genes affected by aberrant promoter methylation in distinct COPD sub-phenotypes. This is consistent with the major pathophysiological differences that underlie emphysema and chronic mucous hypersecretion , and suggests the role basal cell hyperplasia may play in development of lung cancer .
Of the 11 genes analyzed, SULF2 demonstrated the strongest association with CMH. SULF-2 is an extracellular enzyme that catalyzes the hydrolysis of 6-O-sulfo groups from heparan sulfate polysaccharides [38–40]. Heparan sulfate proteoglycans (HSPGs) are widely distributed on cell membranes and the extracellular matrix, and serve as coreceptors for many growth factors and cytokines  and the position of 6-O sulfates is of particular importance for ligand binding [38–40]. Epigenetic inactivation of SULF2, either by siRNA treatment or promoter methylation, activates numerous type I interferon (IFN)-inducible genes . It was proposed that silencing of SULF2 prevents the removal of sulfate groups from IFN-binding sites, which may preserve either the binding affinity or bioavailability of interferons leading to increased transcription of multiple IFN-inducible genes . It is plausible that CMH, caused by metaplastic mucous cells that are sustained due to dysregulated cell death mechanisms that involve IFN signaling [43–45], creates an inflammatory milieu which causes methylation of SULF2. In turn, the type 1 interferon response induced by methylation of SULF2 may help to perpetuate the inflammation associated with CMH.
This is the first report of epigenetic changes in the airways of individuals with CMH. Strengths of the study include the use of the large, well-characterized LSC for the initial phase of study and excellent replication of all main findings in the geographically distinct PLuSS. We chose the standard definition for chronic bronchitis in the LSC and a definition that most closely captured the standard clinical definition of chronic bronchitis in the PLuSS. While the differences in questionnaires used to define CMH could be considered a limitation in the study, the definition for CMH was applied to PLuSS subjects prior to any data analysis and was not subsequently modified. We propose that this approach improves the rigor of our validation. Replication of these findings supports the robustness of these markers for CMH and suggests that they are useful in defining a subset of subjects with CMH who could benefit from computed tomography (CT) screening for lung cancer . Indeed, low cost, gene-specific methylation screening assays could be incorporated into clinical practices for patients suspected to be at risk for lung cancer.
Especially male former smokers with persistent chronic mucous hypersecretion have markedly increased promoter methylation of lung cancer risk genes in cell obtained by sputum collection. These smokers may be at increased risk of lung cancer and may benefit from further tests for lung cancer, such as CT screening.
We would like to acknowledge the following individuals at Lovelace Scientific Resources, the Clinical Trials Division, for work in recruiting and collecting cohort data: Darlene Harbor (Site Director), Carmen Dubois and Linda Heath (Study Coordinators), Victor Lucero and Elia Casas (Lab Technicians), Tony Alonzo, Robin Adair, and Diane Griffith (Patient Recruitment), Leslie Bryant (Regulatory Coordinator), and Sarah Dechnik (Clinical Project Coordinator). This work was supported from funding by the State of New Mexico (appropriation from the Tobacco Settlement Fund), and from the National Institutes of Health (RO1 ES015482 to YT, R01 CA097356 to SB, HL107873-01 to YT and SB, and P50 CA090440 to JMS).
- Murray CJ, Lopez AD: Global mortality, disability, and the contribution of risk factors: Global Burden of Disease Study. Lancet. 1997, 349: 1436-1442. 10.1016/S0140-6736(96)07495-8.PubMedView ArticleGoogle Scholar
- Mannino DM, Buist AS: Global burden of COPD: risk factors, prevalence, and future trends. Lancet. 2007, 370: 765-773. 10.1016/S0140-6736(07)61380-4.PubMedView ArticleGoogle Scholar
- Chan-Yeung M, Ait-Khaled N, White N, Ip MS, Tan WC: The burden and impact of COPD in Asia and Africa. Int J Tuberc Lung Dis. 2004, 8: 2-14.PubMedGoogle Scholar
- Caballero A, Torres-Duque CA, Jaramillo C, Bolivar F, Sanabria F, Osorio P, Orduz C, Guevara DP, Maldonado D: Prevalence of COPD in five Colombian cities situated at low, medium, and high altitude (PREPOCOL study). Chest. 2008, 133: 343-349. 10.1378/chest.07-1361.PubMedView ArticleGoogle Scholar
- Dennis R, Maldonado D, Norman S, Baena E, Castano H, Martinez G, Velez J: Wood smoke exposure and risk for obstructive airways disease among women. Chest. 1996, 109: 55S-56S. 10.1378/chest.109.3_Supplement.55S.PubMedView ArticleGoogle Scholar
- Bentayeb M, Simoni M, Baiz N, Norback D, Baldacci S, Maio S, Viegi G, Annesi-Maesano I: Geriatric Study in Europe on Health Effects of Air Quality in Nursing Homes G: Adverse respiratory effects of outdoor air pollution in the elderly. Int J Tuberc Lung Dis. 2012, 16: 1149-1161. 10.5588/ijtld.11.0666.PubMedView ArticleGoogle Scholar
- Agusti A, Calverley PM, Celli B, Coxson HO, Edwards LD, Lomas DA, MacNee W, Miller BE, Rennard S, Silverman EK, et al: Characterisation of COPD heterogeneity in the ECLIPSE cohort. Respir Res. 2010, 11: 122-PubMedPubMed CentralGoogle Scholar
- Curran DR, Cohn L: Advances in mucous cell metaplasia: a plug for mucus as a therapeutic focus in chronic airway disease. Am J Respir Cell Mol Biol. 2010, 42: 268-275. 10.1165/rcmb.2009-0151TR.PubMedPubMed CentralView ArticleGoogle Scholar
- Ekberg-Aronsson M, Pehrsson K, Nilsson JA, Nilsson PM, Lofdahl CG: Mortality in GOLD stages of COPD and its dependence on symptoms of chronic bronchitis. Respir Res. 2005, 6: 98-10.1186/1465-9921-6-98.PubMedPubMed CentralView ArticleGoogle Scholar
- Annesi I, Kauffmann F: Is respiratory mucus hypersecretion really an innocent disorder? A 22-year mortality survey of 1,061 working men. Am Rev Respir Dis. 1986, 134: 688-693.PubMedGoogle Scholar
- Burgel PR, Nesme-Meyer P, Chanez P, Caillaud D, Carre P, Perez T, Roche N: Cough and sputum production are associated with frequent exacerbations and hospitalizations in COPD subjects. Chest. 2009, 135: 975-982. 10.1378/chest.08-2062.PubMedView ArticleGoogle Scholar
- Kim V, Han MK, Vance GB, Make BJ, Newell JD, Hokanson JE, Hersh CP, Stinson D, Silverman EK, Criner GJ: The Chronic Bronchitic Phenotype of COPD: An Analysis of the COPDGene Study. Chest. 2011, 140: 626-633. 10.1378/chest.10-2948.PubMedPubMed CentralView ArticleGoogle Scholar
- Prescott E, Lange P, Vestbo J: Chronic mucus hypersecretion in COPD and death from pulmonary infection. Eur Respir J. 1995, 8: 1333-1338. 10.1183/09031936.95.08081333.PubMedView ArticleGoogle Scholar
- Guerra S, Sherrill DL, Venker C, Ceccato CM, Halonen M, Martinez FD: Chronic bronchitis before age 50 years predicts incident airflow limitation and mortality risk. Thorax. 2009, 64: 894-900. 10.1136/thx.2008.110619.PubMedView ArticleGoogle Scholar
- Brenner DR, McLaughlin JR, Hung RJ: Previous lung diseases and lung cancer risk: a systematic review and meta-analysis. PLoS One. 2011, 6: e17479-10.1371/journal.pone.0017479.PubMedPubMed CentralView ArticleGoogle Scholar
- Wang H, Yang L, Zou L, Huang D, Guo Y, Pan M, Tan Y, Zhong H, Ji W, Ran P, et al: Association between Chronic Obstructive Pulmonary Disease and Lung Cancer: A Case–control Study in Southern Chinese and a Meta-Analysis. PLoS One. 2012, 7: e46144-10.1371/journal.pone.0046144.PubMedPubMed CentralView ArticleGoogle Scholar
- Belinsky SA, Liechty KC, Gentry FD, Wolf HJ, Rogers J, Vu K, Haney J, Kennedy TC, Hirsch FR, Miller Y, et al: Promoter hypermethylation of multiple genes in sputum precedes lung cancer incidence in a high-risk cohort. Cancer Res. 2006, 66: 3338-3344. 10.1158/0008-5472.CAN-05-3408.PubMedView ArticleGoogle Scholar
- Leng S, Do K, Yingling CM, Picchi MA, Wolf HJ, Kennedy TC, Feser WJ, Baron AE, Franklin WA, Brock MV, et al: Defining a gene promoter methylation signature in sputum for lung cancer risk assessment. Clin Cancer Res. 2012, 18: 3387-3395. 10.1158/1078-0432.CCR-11-3049.PubMedPubMed CentralView ArticleGoogle Scholar
- Bruse S, Sood A, Petersen H, Liu Y, Leng S, Celedon JC, Gilliland F, Celli B, Belinsky SA, Tesfaigzi Y: New mexican Hispanic smokers have lower odds of chronic obstructive pulmonary disease and less decline in lung function than non-Hispanic whites. Am J Respir Crit Care Med. 2011, 184: 1254-1260. 10.1164/rccm.201103-0568OC.PubMedPubMed CentralView ArticleGoogle Scholar
- Hunninghake GM, Cho MH, Tesfaigzi Y, Soto-Quiros ME, Avila L, Lasky-Su J, Stidley C, Melen E, Soderhall C, Hallberg J, et al: MMP12, lung function, and COPD in high-risk populations. N Engl J Med. 2009, 361: 2599-2608. 10.1056/NEJMoa0904006.PubMedPubMed CentralView ArticleGoogle Scholar
- Wilson DO, Weissfeld JL, Balkan A, Schragin JG, Fuhrman CR, Fisher SN, Wilson J, Leader JK, Siegfried JM, Shapiro SD, Sciurba FC: Association of radiographic emphysema and airflow obstruction with lung cancer. Am J Respir Crit Care Med. 2008, 178: 738-744. 10.1164/rccm.200803-435OC.PubMedPubMed CentralView ArticleGoogle Scholar
- Wilson DO, Weissfeld JL, Fuhrman CR, Fisher SN, Balogh P, Landreneau RJ, Luketich JD, Siegfried JM: The Pittsburgh Lung Screening Study (PLuSS): outcomes within 3 years of a first computed tomography scan. Am J Respir Crit Care Med. 2008, 178: 956-961. 10.1164/rccm.200802-336OC.PubMedPubMed CentralView ArticleGoogle Scholar
- Belinsky SA, Palmisano WA, Gilliland FD, Crooks LA, Divine KK, Winters SA, Grimes MJ, Harms HJ, Tellez CS, Smith TM, et al: Aberrant promoter methylation in bronchial epithelium and sputum from current and former smokers. Cancer Res. 2002, 62: 2370-2377.PubMedGoogle Scholar
- Palmisano WA, Divine KK, Saccomanno G, Gilliland FD, Baylin SB, Herman JG, Belinsky SA: Predicting lung cancer by detecting aberrant promoter methylation in sputum. Cancer Res. 2000, 60: 5954-5958.PubMedGoogle Scholar
- Burnham K, Anderson D: Multimodel Inference: Understanding AIC and BIC in Model Selection. Sociol Methods Res. 2004, 33: 261-304. 10.1177/0049124104268644.View ArticleGoogle Scholar
- Alberg AJ, Brock MV, Ford JG, Samet JM, Spivack SD: Epidemiology of Lung Cancer: Diagnosis and Management of Lung Cancer, 3rd ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines. Chest. 2013, 143: e1S-e29S. 10.1378/chest.12-2345.PubMedView ArticleGoogle Scholar
- Tessema M, Yu YY, Stidley CA, Machida EO, Schuebel KE, Baylin SB, Belinsky SA: Concomitant promoter methylation of multiple genes in lung adenocarcinomas from current, former and never smokers. Carcinogenesis. 2009, 30: 1132-1138. 10.1093/carcin/bgp114.PubMedPubMed CentralView ArticleGoogle Scholar
- Belinsky SA, Grimes MJ, Casas E, Stidley CA, Franklin WA, Bocklage TJ, Johnson DH, Schiller JH: Predicting gene promoter methylation in non-small-cell lung cancer by evaluating sputum and serum. Br J Cancer. 2007, 96: 1278-1283. 10.1038/sj.bjc.6603721.PubMedPubMed CentralView ArticleGoogle Scholar
- Slaughter DP, Southwick HW, Smejkal W: Field cancerization in oral stratified squamous epithelium; clinical implications of multicentric origin. Cancer. 1953, 6: 963-968. 10.1002/1097-0142(195309)6:5<963::AID-CNCR2820060515>3.0.CO;2-Q.PubMedView ArticleGoogle Scholar
- Baylin SB, Herman JG, Graff JR, Vertino PM, Issa JP: Alterations in DNA methylation: a fundamental aspect of neoplasia. Adv Cancer Res. 1998, 72: 141-196.PubMedView ArticleGoogle Scholar
- Belinsky SA, Nikula KJ, Palmisano WA, Michels R, Saccomanno G, Gabrielson E, Baylin SB, Herman JG: Aberrant methylation of p16(INK4a) is an early event in lung cancer and a potential biomarker for early diagnosis. Proc Natl Acad Sci U S A. 1998, 95: 11891-11896. 10.1073/pnas.95.20.11891.PubMedPubMed CentralView ArticleGoogle Scholar
- Feinberg AP, Ohlsson R, Henikoff S: The epigenetic progenitor origin of human cancer. Nat Rev Genet. 2006, 7: 21-33. 10.1038/nrg1748.PubMedView ArticleGoogle Scholar
- Sharma S, Kelly TK, Jones PA: Epigenetics in cancer. Carcinogenesis. 2010, 31: 27-36. 10.1093/carcin/bgp220.PubMedPubMed CentralView ArticleGoogle Scholar
- Koshiol J, Rotunno M, Consonni D, Pesatori AC, De Matteis S, Goldstein AM, Chaturvedi AK, Wacholder S, Landi MT, Lubin JH, Caporaso NE: Chronic obstructive pulmonary disease and altered risk of lung cancer in a population-based case–control study. PLoS One. 2009, 4: e7380-10.1371/journal.pone.0007380.PubMedPubMed CentralView ArticleGoogle Scholar
- Sood A, Petersen H, Blanchette C, Meek P, Picchi M, Belinsky SA, Tesfaigzi Y: Wood smoke exposure and gene promoter methylation are associated with increased risk for COPD in Smokers. Am J Resp Crit Care Med. 2010, In PressGoogle Scholar
- Patel BD, Coxson HO, Pillai SG, Agusti AG, Calverley PM, Donner CF, Make BJ, Muller NL, Rennard SI, Vestbo J, et al: Airway wall thickening and emphysema show independent familial aggregation in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2008, 178: 500-505. 10.1164/rccm.200801-059OC.PubMedView ArticleGoogle Scholar
- Demoly P, Simony-Lafontaine J, Chanez P, Pujol J, Lequeux N, Michel F, Bousquet J: Cell proliferation in the bronchial mucosa of asthmatics and chronic bronchitics. Am J Respir Crit Care Med. 1994, 150: 214-217. 10.1164/ajrccm.150.1.7912988.PubMedView ArticleGoogle Scholar
- Morimoto-Tomita M, Uchimura K, Werb Z, Hemmerich S, Rosen SD: Cloning and characterization of two extracellular heparin-degrading endosulfatases in mice and humans. J Biol Chem. 2002, 277: 49175-49185. 10.1074/jbc.M205131200.PubMedPubMed CentralView ArticleGoogle Scholar
- Merry CL, Lyon M, Deakin JA, Hopwood JJ, Gallagher JT: Highly sensitive sequencing of the sulfated domains of heparan sulfate. J Biol Chem. 1999, 274: 18455-18462. 10.1074/jbc.274.26.18455.PubMedView ArticleGoogle Scholar
- Sugaya N, Habuchi H, Nagai N, Ashikari-Hada S, Kimata K: 6-O-sulfation of heparan sulfate differentially regulates various fibroblast growth factor-dependent signalings in culture. J Biol Chem. 2008, 283: 10366-10376. 10.1074/jbc.M705948200.PubMedView ArticleGoogle Scholar
- Bishop JR, Schuksz M, Esko JD: Heparan sulphate proteoglycans fine-tune mammalian physiology. Nature. 2007, 446: 1030-1037. 10.1038/nature05817.PubMedView ArticleGoogle Scholar
- Tessema M, Yingling CM, Thomas CL, Klinge DM, Bernauer AM, Liu Y, Dacic S, Siegfried JM, Dahlberg SE, Schiller JH, Belinsky SA: SULF2 methylation is prognostic for lung cancer survival and increases sensitivity to topoisomerase-I inhibitors via induction of ISG15. Oncogene. 2012, 31: 4107-4116. 10.1038/onc.2011.577.PubMedPubMed CentralView ArticleGoogle Scholar
- Harris JF, Fischer MJ, Hotchkiss JR, Monia BP, Randell SH, Harkema JR, Tesfaigzi Y: Bcl-2 sustains increased mucous and epithelial cell numbers in metaplastic airway epithelium. Am J Respir Crit Care Med. 2005, 171: 764-772. 10.1164/rccm.200408-1108OC.PubMedView ArticleGoogle Scholar
- Mebratu YA, Schwalm K, Smith KR, Schuyler M, Tesfaigzi Y: Cigarette smoke suppresses Bik to cause epithelial cell hyperplasia and mucous cell metaplasia. Am J Respir Crit Care Med. 2011, 183: 1531-1538. 10.1164/rccm.201011-1930OC.PubMedPubMed CentralView ArticleGoogle Scholar
- Chand HS, Woldegiorgis Z, Schwalm K, McDonald J, Tesfaigzi Y: Acute Inflammation Induces Insulin-like Growth Factor-1 to Mediate Bcl-2 and Muc5ac Expression in Airway Epithelial Cells. Am J Respir Cell Mol Biol. 2012, 47: 784-791. 10.1165/rcmb.2012-0079OC.PubMedPubMed CentralView ArticleGoogle Scholar
- Aberle DR, Adams AM, Berg CD, Black WC, Clapp JD, Fagerstrom RM, Gareen IF, Gatsonis C, Marcus PM, Sicks JD: Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med. 2011, 365: 395-409.PubMedView ArticleGoogle Scholar
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