Curbing the burden of lung cancer

Alexandra Urman , H. Dean Hosgood

Front. Med. ›› 2016, Vol. 10 ›› Issue (2) : 228 -232.

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Front. Med. ›› 2016, Vol. 10 ›› Issue (2) : 228 -232. DOI: 10.1007/s11684-016-0447-x
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Curbing the burden of lung cancer

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Abstract

Lung cancer contributes substantially to the global burden of disease and healthcare costs. New screening modalities using low-dose computerized tomography are promising tools for early detection leading to curative surgery. However, the screening and follow-up diagnostic procedures of these techniques may be costly. Focusing on prevention is an important factor to reduce the burden of screening, treatment, and lung cancer deaths. The International Agency for Research on Cancer has identified several lung carcinogens, which we believe can be considered actionable when developing prevention strategies. To curb the societal burden of lung cancer, healthcare resources need to be focused on early detection and screening and on mitigating exposure(s) of a person to known lung carcinogens, such as active tobacco smoking, household air pollution (HAP), and outdoor air pollution. Evidence has also suggested that these known lung carcinogens may be associated with genetic predispositions, supporting the hypothesis that lung cancers attributed to differing exposures may have developed from unique underlying genetic mechanisms attributed to the exposure of interest. For instance, smoking-attributed lung cancer involves novel genetic markers of risk compared with HAP-attributed lung cancer. Therefore, genetic risk markers may be used in risk stratification to identify subpopulations that are at a higher risk for developing lung cancer attributed to a given exposure. Such targeted prevention strategies suggest that precision prevention strategies may be possible in the future; however, much work is needed to determine whether these strategies will be viable.

Keywords

lung cancer / screening / risk factors / environmental

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Alexandra Urman, H. Dean Hosgood. Curbing the burden of lung cancer. Front. Med., 2016, 10(2): 228-232 DOI:10.1007/s11684-016-0447-x

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Introduction

For decades, lung cancer has been the most common form of malignancy worldwide [ 1]. The highest incidence rates of lung cancer are detected in North America and Europe for men and in the Asia-Pacific region, as well as North America and Europe, for women [ 2]. The high societal burdens of lung cancer are not restricted to any subgroup or region. Lung cancer treatment costs, including the individual and medical coverage costs, are considerable. In 2000, a 72-year-old patient diagnosed with lung cancer incurred monthly costs from US $2687 (no active treatment) for the first 6 months to US $9360 (chemo-radiotherapy), with variations based on stage at diagnosis and histologic type [ 3]. The patients are often responsible for up to 22% of these care costs, and this number is continuing to increase [ 3]. Large discrepancies in healthcare costs may occur depending on failure of initial treatment of patients, which can sometimes correlate to their stage at diagnosis. For example, if a lung cancer patient fails the initial treatment phase, the costs will markedly increase compared with those of lung cancer patients who only require initial treatment. Patients who failed initial therapy had total costs of US $120 650 as opposed to US $45 953 for those receiving initial therapy only [ 4]. Given that the cost of treatment and the burden of disease are increasing, finding new solutions for rectifying cost-effective strategies becomes imperative.

Lung cancer screening and prevention

Even with millions of lung cancer diagnoses each year, and decades of research on the disease, the prognosis of lung cancer remains poor with approximately 15% of cases surviving≥5 years [ 5]. Early detection of lung cancer may allow for curative surgical care. According to the National Lung Screening Trial (NLST), the use of low-dose computerized tomography (LDCT) in individuals from the general population aged 55–74 years old with≥30 pack-years of smoking resulted in a 20% reduction in lung cancer mortality and 7% reduction in all-cause mortality [ 6, 7]. The approach is cost effective [ 8], even though 27% of nodules≥4 mm at baseline (T0) and 15%–30% of those detected during follow-up were subsequently determined to be benign. The significant findings reported by NLST encouraged several organizations to publish clinical guidelines for implementing LDCT screening programs in the general population; hence, this method has been rapidly applied in major medical centers [ 9]. However, given the high costs of LDCT and subsequent follow-ups, continued efforts should include prevention.

Society can decrease the lung cancer burden through strategies for prevention of known and suspected lung carcinogens. The leading cause of lung cancer is unequivocally tobacco smoking, with roughly 85% of lung cancer in men and 47% of lung cancer in women attributed to tobacco smoking [ 10]. A recent meta-analysis of 287 studies observed a strong association between smoking and lung cancer risk for ever smoking (RR= 5.50, 95%CI= 5.07–5.96), current-smoking (RR= 8.43, 95%CI= 7.63–9.31), and past-smoking (RR= 4.30, 95%CI= 3.93–4.71) subjects for all cancer types, including squamous-cell carcinoma and adenocarcinoma [ 11]. A meta-analysis of 55 studies observed an association between passive smoking and the development of lung cancer, particularly among never-smoking women exposed to passive smoking from their spouses (RR= 1.27, 95%CI= 1.17–1.37) [ 12]. The association of smoking and lung cancer has been investigated extensively, and tobacco legislation and smoking bans are often the focus of major public health policies.

Apart from smoking as the primary risk factor for lung cancer, other environmental and occupational exposures have also been deemed as risk factors [ 13]. The International Agency for Research on Cancer (IARC) is the governing body on cancer research of the World Health Organization. The working groups of IARC, consisting of the leading experts, met to assess the potential carcinogenicity of an agent or exposure circumstance in question. As of 2014, IARC had classified>100 agents and exposure circumstances as carcinogenic to humans (Group 1) [ 14, 15]. Group 1 lung carcinogens include agents such as tobacco smoking, environmental tobacco smoke, silica, asbestos, arsenic, polycyclic aromatic hydrocarbons (PAHs), engine exhaust, household air pollution (HAP) attributed to solid fuel use, outdoor air pollution, and radon.

HAP is a non-tobacco lung carcinogen of major public health concern [ 16]. HAP is responsible for nearly 4 million deaths per year [ 17], among the approximately 3 billion people exposed to HAP [ 18]. HAP exposures and subsequent burden of disease are anticipated to increase as rural residents of western countries increasingly rely on wood as a low-cost, renewable heating source [ 19]. HAP consists of smoke attributed to solid fuel use (i.e., coal, wood) for heating and cooking, increasing the household levels of carcinogens, such as PAHs [ 20]. A meta-analysis of 25 studies found in-home coal use to be associated with lung cancer risk (OR= 2.15; 95%CI= 1.61–2.89) [ 21]. A pooled analysis of 7 studies from the International Lung Cancer Consortium (5105 cases and 6535 controls) also observed an association between coal use and lung cancer risk [ 22]. HAP exposure mitigation programs have shown some promise. In Xuanwei, China, a retrospective cohort study of approximately 42 000 farmers [ 23], who were coal users and underwent stove improvement from unvented stationary stoves to portable stoves, observed a significant reduction in risk of lung cancer mortality (men: 39%; women: 59%) [ 24]. Improving to a stove with a chimney also reduced lung cancer risk (men: 41%; women: 46%) [ 23]. Recent studies on stove improvement at the individual level have experienced challenges with adoption and adherence [ 2528], limiting the health impacts. However, community-wide stove change programs have shown promise in terms of PM2.5 reduction [ 29, 30].

Genetic predisposition

Apart from environmental exposures, a systematic review of 52 studies observed that a positive family history of lung cancer was also associated with a significant, nearly twofold increase in risk of lung cancer, even when restricted to studies evaluating never smokers only [ 31], indicating that genetic predispositions may play an important role in lung cancer. Large-scale multinational genome-wide association studies (GWASs) initially found that the 5p15.33, 6p21.33, and 15q25 regions were associated with lung cancer risk [ 3235]. These GWASs found that genetic variation on chromosome 15q, which contains nicotinic acetylcholine receptors genes, was the strongest association with lung cancer risk [ 32, 33]. Given that the aforementioned studies were conducted on Caucasian smoking populations, it may not be surprising that the variants most strongly associated with lung cancer were related to nicotine use and dependence. To identify genetic markers associated with lung cancer in the absence of tobacco smoking, GWASs have also been conducted on non-smoking populations. Similar to the previous GWASs, a multistage GWAS on lung cancer in Asian never smoking women was conducted. A total of 5510 cases and 4544 controls were scanned, and follow-up genotyping of SNPs at P<5×10-6 was conducted in an additional 1099 cases and 2913 controls [ 36]. Interestingly, novel regions including 10q25.2, 6q22.2, and 6p21.32 were associated with lung cancer risk in those who had never smoked [ 36]. The previously observed association at 15q25 in smokers was not statistically significant in never smokers. Coupling the novel regions observed in never smokers with the lack of association at 15q among never smokers suggests that the risk variants for nonsmoking-related lung cancer are distinct from those for smoking-related lung cancer. Interestingly, among the a priori regions identified by the GWAS of never smokers, significant gene-environment interactions with HAP (HLA Class II rs2395185, P = 0.02; TP63 rs4488809 (rs4600802), P = 0.04) were identified, thus suggesting that the risk of lung cancer associated with HAP exposure varied with the respective alleles for those regions [ 37]. To date, the weight of evidence suggests that populations who have differing environmental exposures, such as tobacco smoking and HAP, may be susceptible to lung cancer attributed to the unique underlying mechanisms of pathogenesis. As with many genomic applications, however, researchers should replicate these findings in additional populations prior to considering translation to the clinic or public health action. Understanding the underlying mechanism of lung carcinogenesis may lead to better targeted prevention strategies related to exposures other than tobacco and may significantly affect the global burden of disease.

Conclusions

Prevention strategies and screening modalities are vital to curb the global burden of lung cancer. Existing methods for preventing lung cancer, in conjunction with early detection to enable curative surgery, must be improved by mitigating human exposures to lung carcinogens. Among heavy smokers, LDCT screening and smoking cessation programs and interventions for current smokers have shown promise. Notably, incorporating smoking cessation interventions into LDCT screening improves the cost effectiveness of LDCT screening by 20%–45% [ 38]. Apart from focusing on smoking, prevention strategies must also focus on individuals with high environmental exposures (i.e., HAP), particularly identifying those exposures and how to reduce or eliminate them. Further research is also needed to determine how genomic patterns can be used for risk stratification and to identify the patients at risk earlier for prevention and early detection. Although the utilization of genomics for risk stratification is currently not cost effective or commonly accepted in medical practice, research in this area will help support the development of a tool for healthcare providers to eventually identify subpopulations at high risk of lung cancer. Finally, our proposed all-encompassing prevention and screening strategies must be critically evaluated for their sustainable viability.

References

[1]

Alberg AJ, Samet JM. Epidemiology of lung cancer. Chest 2003; 123(1 Suppl): 21S–49S

[2]

Torre LA, Siegel RL, Ward EM, Jemal A. Global cancer incidence and mortality rates and trends—an update. Cancer Epidemiol Biomarkers Prev 2016; 25(1): 16–27

[3]

Cipriano LE, Romanus D, Earle CC, Neville BA, Halpern EF, Gazelle GS, McMahon PM. Lung cancer treatment costs, including patient responsibility, by disease stage and treatment modality, 1992 to 2003. Value Health 2011;14(1):41–52

[4]

Kutikova L, Bowman L, Chang S, Long SR, Obasaju C, Crown WH. The economic burden of lung cancer and the associated costs of treatment failure in the United States. Lung Cancer 2005; 50(2): 143–154

[5]

Surveillance, Epidemiology, and End Results (SEER) Program. SEER*Stat Database: Incidence—SEER 9 Regs Research Data, Nov 2014 Sub (1973–2012)<Katrina/Rita Population Adjustment>—Linked To County Attributes—Total U.S., 1969–2013 Counties. National Cancer Institute, DCCPS, Surveillance Research Program, Surveillance Systems Branch. 2015

[6]

National Lung Screening Trial Research Team, 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(5): 395–409

[7]

Aberle DR, DeMello S, Berg CD, Black WC, Brewer B, Church TR, Clingan KL, Duan F, Fagerstrom RM, Gareen IF, Gatsonis CA, Gierada DS, Jain A, Jones GC, Mahon I, Marcus PM, Rathmell JM, Sicks J; National Lung Screening Trial Research Team. Results of the two incidence screenings in the National Lung Screening Trial. N Engl J Med 2013; 369(10): 920–931

[8]

Black WC, Gareen IF, Soneji SS, Sicks JD, Keeler EB, Aberle DR, Naeim A, Church TR, Silvestri GA, Gorelick J, Gatsonis C; National Lung Screening Trial Research Team. Cost-effectiveness of CT screening in the National Lung Screening Trial. N Engl J Med 2014; 371(19): 1793–1802

[9]

Boiselle PM, White CS, Ravenel JG. Computed tomographic screening for lung cancer: current practice patterns at leading academic medical centers. JAMA Intern Med 2014;174(2):286287

[10]

Sun S, Schiller JH, Gazdar AF. Lung cancer in never smokers—a different disease. Nat Rev Cancer 2007; 7(10): 778–790

[11]

Lee PN, Forey BA, Coombs KJ. Systematic review with meta-analysis of the epidemiological evidence in the 1900s relating smoking to lung cancer. BMC Cancer 2012; 12(1): 385

[12]

Taylor R, Najafi F, Dobson A. Meta-analysis of studies of passive smoking and lung cancer: effects of study type and continent. Int J Epidemiol 2007; 36(5): 1048–1059

[13]

Samet JM. Environmental causes of lung cancer: what do we know in 2003? Chest 2004; 125(5 Suppl): 80S–83S

[14]

Boffetta P. Epidemiology of environmental and occupational cancer. Oncogene 2004; 23(38): 6392–6403

[15]

Tomatis L. Identification of carcinogenic agents and primary prevention of cancer. Ann N Y Acad Sci 2006; 1076(1): 1–14

[16]

Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, Amann M, Anderson HR, Andrews KG, Aryee M, Atkinson C, Bacchus LJ, Bahalim AN, Balakrishnan K, Balmes J, Barker-Collo S, Baxter A, Bell ML, Blore JD, Blyth F, Bonner C, Borges G, Bourne R, Boussinesq M, Brauer M, Brooks P, Bruce NG, Brunekreef B, Bryan-Hancock C, Bucello C, Buchbinder R, Bull F, Burnett RT, Byers TE, Calabria B, Carapetis J, Carnahan E, Chafe Z, Charlson F, Chen H, Chen JS, Cheng AT, Child JC, Cohen A, Colson KE, Cowie BC, Darby S, Darling S, Davis A, Degenhardt L, Dentener F, Des Jarlais DC, Devries K, Dherani M, Ding EL, Dorsey ER, Driscoll T, Edmond K, Ali SE, Engell RE, Erwin PJ, Fahimi S, Falder G, Farzadfar F, Ferrari A, Finucane MM, Flaxman S, Fowkes FG, Freedman G, Freeman MK, Gakidou E, Ghosh S, Giovannucci E, Gmel G, Graham K, Grainger R, Grant B, Gunnell D, Gutierrez HR, Hall W, Hoek HW, Hogan A, Hosgood HD 3rd, Hoy D, Hu H, Hubbell BJ, Hutchings SJ, Ibeanusi SE, Jacklyn GL, Jasrasaria R, Jonas JB, Kan H, Kanis JA, Kassebaum N, Kawakami N, Khang YH, Khatibzadeh S, Khoo JP, Kok C, Laden F, Lalloo R, Lan Q, Lathlean T, Leasher JL, Leigh J, Li Y, Lin JK, Lipshultz SE, London S, Lozano R, Lu Y, Mak J, Malekzadeh R, Mallinger L, Marcenes W, March L, Marks R, Martin R, McGale P, McGrath J, Mehta S, Mensah GA, Merriman TR, Micha R, Michaud C, Mishra V, Mohd Hanafiah K, Mokdad AA, Morawska L, Mozaffarian D, Murphy T, Naghavi M, Neal B, Nelson PK, Nolla JM, Norman R, Olives C, Omer SB, Orchard J, Osborne R, Ostro B, Page A, Pandey KD, Parry CD, Passmore E, Patra J, Pearce N, Pelizzari PM, Petzold M, Phillips MR, Pope D, Pope CA 3rd, Powles J, Rao M, Razavi H, Rehfuess EA, Rehm JT, Ritz B, Rivara FP, Roberts T, Robinson C, Rodriguez-Portales JA, Romieu I, Room R, Rosenfeld LC, Roy A, Rushton L, Salomon JA, Sampson U, Sanchez-Riera L, Sanman E, Sapkota A, Seedat S, Shi P, Shield K, Shivakoti R, Singh GM, Sleet DA, Smith E, Smith KR, Stapelberg NJ, Steenland K, Stöckl H, Stovner LJ, Straif K, Straney L, Thurston GD, Tran JH, Van Dingenen R, van Donkelaar A, Veerman JL, Vijayakumar L, Weintraub R, Weissman MM, White RA, Whiteford H, Wiersma ST, Wilkinson JD, Williams HC, Williams W, Wilson N, Woolf AD, Yip P, Zielinski JM, Lopez AD, Murray CJ, Ezzati M, AlMazroa MA, Memish ZA. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012; 380(9859): 2224–2260

[17]

Smith KR, Bruce N, Balakrishnan K, Adair-Rohani H, Balmes J, Chafe Z, Dherani M, Hosgood HD, Mehta S, Pope D, Rehfuess E; HAP CRA Risk Expert Group. Millions dead: how do we know and what does it mean? Methods used in the comparative risk assessment of household air pollution. Annu Rev Public Health 2014; 35(1): 185–206

[18]

Ezzati M, Lopez A, Rodgers A, Murray C. Comparative Quantification of Health Risks: Global and Regional Burden of Disease Attributable to Selected Major Risk Factors. Vol 2. Geneva: World Health Organization, 2004

[19]

Rogalsky DK, Mendola P, Metts TA, Martin WJ 2nd. Estimating the number of low-income americans exposed to household air pollution from burning solid fuels. Environ Health Perspect 2014; 122(8): 806–810

[20]

Zhang J, Smith KR. Indoor air pollution: a global health concern. Br Med Bull 2003; 68(1): 209–225

[21]

Hosgood HD 3rd, Wei H, Sapkota A, Choudhury I, Bruce N, Smith KR, Rothman N, Lan Q. Household coal use and lung cancer: systematic review and meta-analysis of case-control studies, with an emphasis on geographic variation. Int J Epidemiol 2011; 40(3): 719–728

[22]

Hosgood HD 3rd, Boffetta P, Greenland S, Lee YCA, McLaughlin J, Seow A, Duell EJ, Andrew AS, Zaridze D, Szeszenia-Dabrowska N, Rudnai P, Lissowska J, Fabiánová E, Mates D, Bencko V, Foretova L, Janout V, Morgenstern H, Rothman N, Hung RJ, Brennan P, Lan Q. In-home coal and wood use and lung cancer risk: a pooled analysis of the International Lung Cancer Consortium. Environ Health Perspect 2010; 118(12): 1743–1747

[23]

Lan Q, Chapman RS, Schreinemachers DM, Tian L, He X. Household stove improvement and risk of lung cancer in Xuanwei, China. J Natl Cancer Inst 2002; 94(11): 826–835

[24]

Hosgood HD 3rd, Chapman R, Shen M, Blair A, Chen E, Zheng T, Lee KM, He X, Lan Q. Portable stove use is associated with lower lung cancer mortality risk in lifetime smoky coal users. Br J Cancer 2008; 99(11): 1934–1939

[25]

Pillarisetti A, Vaswani M, Jack D, Balakrishnan K, Bates MN, Arora NK, Smith KR. Patterns of stove usage after introduction of an advanced cookstove: the long-term application of household sensors. Environ Sci Technol 2014; 48(24): 14525–14533

[26]

Rhodes EL, Dreibelbis R, Klasen EM, Naithani N, Baliddawa J, Menya D, Khatry S, Levy S, Tielsch JM, Miranda JJ, Kennedy C, Checkley W. Behavioral attitudes and preferences in cooking practices with traditional open-fire stoves in Peru, Nepal, and Kenya: implications for improved cookstove interventions. Int J Environ Res Public Health 2014; 11(10): 10310–10326

[27]

Rosa G, Majorin F, Boisson S, Barstow C, Johnson M, Kirby M, Ngabo F, Thomas E, Clasen T. Assessing the impact of water filters and improved cook stoves on drinking water quality and household air pollution: a randomised controlled trial in Rwanda. PLoS ONE 2014; 9(3): e91011

[28]

Hartinger SM, Commodore AA, Hattendorf J, Lanata CF, Gil AI, Verastegui H, Aguilar-Villalobos M, Mäusezahl D, Naeher LP. Chimney stoves modestly improved indoor air quality measurements compared with traditional open fire stoves: results from a small-scale intervention study in rural Peru. Indoor Air 2013; 23(4): 342–352

[29]

Ward TJ, Palmer CP, Noonan CW. Fine particulate matter source apportionment following a large woodstove changeout program in Libby, Montana. J Air Waste Manag Assoc 2010;60(6):688–693

[30]

Noonan CW, Ward TJ, Navidi W, Sheppard L. A rural community intervention targeting biomass combustion sources: effects on air quality and reporting of children’s respiratory outcomes. Occup Environ Med 2012; 69(5): 354–360

[31]

Matakidou A, Eisen T, Houlston RS. Systematic review of the relationship between family history and lung cancer risk. Br J Cancer 2005; 93(7): 825–833

[32]

Amos CI, Wu X, Broderick P, Gorlov IP, Gu J, Eisen T, Dong Q, Zhang Q, Gu X, Vijayakrishnan J, Sullivan K, Matakidou A, Wang Y, Mills G, Doheny K, Tsai YY, Chen WV, Shete S, Spitz MR, Houlston RS. Genome-wide association scan of tag SNPs identifies a susceptibility locus for lung cancer at 15q25.1. Nat Genet 2008; 40(5): 616–622

[33]

Hung RJ, McKay JD, Gaborieau V, Boffetta P, Hashibe M, Zaridze D, Mukeria A, Szeszenia-Dabrowska N, Lissowska J, Rudnai P, Fabianova E, Mates D, Bencko V, Foretova L, Janout V, Chen C, Goodman G, Field JK, Liloglou T, Xinarianos G, Cassidy A, McLaughlin J, Liu G, Narod S, Krokan HE, Skorpen F, Elvestad MB, Hveem K, Vatten L, Linseisen J, Clavel-Chapelon F, Vineis P, Bueno-de-Mesquita HB, Lund E, Martinez C, Bingham S, Rasmuson T, Hainaut P, Riboli E, Ahrens W, Benhamou S, Lagiou P, Trichopoulos D, Holcátová I, Merletti F, Kjaerheim K, Agudo A, Macfarlane G, Talamini R, Simonato L, Lowry R, Conway DI, Znaor A, Healy C, Zelenika D, Boland A, Delepine M, Foglio M, Lechner D, Matsuda F, Blanche H, Gut I, Heath S, Lathrop M, Brennan P. A susceptibility locus for lung cancer maps to nicotinic acetylcholine receptor subunit genes on 15q25. Nature 2008; 452(7187): 633–637

[34]

Thorgeirsson TE, Geller F, Sulem P, Rafnar T, Wiste A, Magnusson KP, Manolescu A, Thorleifsson G, Stefansson H, Ingason A, Stacey SN, Bergthorsson JT, Thorlacius S, Gudmundsson J, Jonsson T, Jakobsdottir M, Saemundsdottir J, Olafsdottir O, Gudmundsson LJ, Bjornsdottir G, Kristjansson K, Skuladottir H, Isaksson HJ, Gudbjartsson T, Jones GT, Mueller T, Gottsäter A, Flex A, Aben KK, de Vegt F, Mulders PF, Isla D, Vidal MJ, Asin L, Saez B, Murillo L, Blondal T, Kolbeinsson H, Stefansson JG, Hansdottir I, Runarsdottir V, Pola R, Lindblad B, van Rij AM, Dieplinger B, Haltmayer M, Mayordomo JI, Kiemeney LA, Matthiasson SE, Oskarsson H, Tyrfingsson T, Gudbjartsson DF, Gulcher JR, Jonsson S, Thorsteinsdottir U, Kong A, Stefansson K. A variant associated with nicotine dependence, lung cancer and peripheral arterial disease. Nature 2008; 452(7187): 638–642

[35]

Wang Y, Broderick P, Webb E, Wu X, Vijayakrishnan J, Matakidou A, Qureshi M, Dong Q, Gu X, Chen WV, Spitz MR, Eisen T, Amos CI, Houlston RS. Common 5p15.33 and 6p21.33 variants influence lung cancer risk. Nat Genet 2008; 40(12): 1407–1409

[36]

Lan Q, Hsiung CA, Matsuo K, Hong YC, Seow A, Wang Z, Hosgood HD 3rd, Chen K, Wang JC, Chatterjee N, Hu W, Wong MP, Zheng W, Caporaso N, Park JY, Chen CJ, Kim YH, Kim YT, Landi MT, Shen H, Lawrence C, Burdett L, Yeager M, Yuenger J, Jacobs KB, Chang IS, Mitsudomi T, Kim HN, Chang GC, Bassig BA, Tucker M, Wei F, Yin Z, Wu C, An SJ, Qian B, Lee VH, Lu D, Liu J, Jeon HS, Hsiao CF, Sung JS, Kim JH, Gao YT, Tsai YH, Jung YJ, Guo H, Hu Z, Hutchinson A, Wang WC, Klein R, Chung CC, Oh IJ, Chen KY, Berndt SI, He X, Wu W, Chang J, Zhang XC, Huang MS, Zheng H, Wang J, Zhao X, Li Y, Choi JE, Su WC, Park KH, Sung SW, Shu XO, Chen YM, Liu L, Kang CH, Hu L, Chen CH, Pao W, Kim YC, Yang TY, Xu J, Guan P, Tan W, Su J, Wang CL, Li H, Sihoe AD, Zhao Z, Chen Y, Choi YY, Hung JY, Kim JS, Yoon HI, Cai Q, Lin CC, Park IK, Xu P, Dong J, Kim C, He Q, Perng RP, Kohno T, Kweon SS, Chen CY, Vermeulen R, Wu J, Lim WY, Chen KC, Chow WH, Ji BT, Chan JK, Chu M, Li YJ, Yokota J, Li J, Chen H, Xiang YB, Yu CJ, Kunitoh H, Wu G, Jin L, Lo YL, Shiraishi K, Chen YH, Lin HC, Wu T, Wu YL, Yang PC, Zhou B, Shin MH, Fraumeni JF Jr, Lin D, Chanock SJ, Rothman N. Genome-wide association analysis identifies new lung cancer susceptibility loci in never-smoking women in Asia. Nat Genet 2012; 44(12): 1330–1335

[37]

Hosgood HD 3rd, Song M, Hsiung CA, Yin Z, Shu XO, Wang Z, Chatterjee N, Zheng W, Caporaso N, Burdette L, Yeager M, Berndt SI, Landi MT, Chen CJ, Chang GC, Hsiao CF, Tsai YH, Chien LH, Chen KY, Huang MS, Su WC, Chen YM, Chen CH, Yang TY, Wang CL, Hung JY, Lin CC, Perng RP, Chen CY, Chen KC, Li YJ, Yu CJ, Chen YS, Chen YH, Tsai FY, Kim C, Seow WJ, Bassig BA, Wu W, Guan P, He Q, Gao YT, Cai Q, Chow WH, Xiang YB, Lin D, Wu C, Wu YL, Shin MH, Hong YC, Matsuo K, Chen K, Wong MP, Lu D, Jin L, Wang JC, Seow A, Wu T, Shen H, Fraumeni JF Jr, Yang PC, Chang IS, Zhou B, Chanock SJ, Rothman N, Lan Q. Interactions between household air pollution and GWAS-identified lung cancer susceptibility markers in the Female Lung Cancer Consortium in Asia (FLCCA). Hum Genet 2015; 134(3): 333–341

[38]

Villanti AC, Jiang Y, Abrams DB, Pyenson BS. A cost-utility analysis of lung cancer screening and the additional benefits of incorporating smoking cessation interventions. PLoS ONE 2013; 8(8): e71379

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