Literature DB >> 32539764

Cancer development in patients with COPD: a retrospective analysis of the National Health Insurance Service-National Sample Cohort in Korea.

Song Vogue Ahn1, Eunyoung Lee2,3, Bumhee Park2,3, Jin Hee Jung2,3, Ji Eun Park4, Seung Soo Sheen4, Kwang Joo Park4, Sung Chul Hwang4, Jae Bum Park5, Hae-Sim Park6, Joo Hun Park7.   

Abstract

BACKGROUND: COPD is a well-known risk factor for lung cancer, independent of smoking behavior. By investigating the retrospective National Health Insurance Service-National Sample Cohort (NHIS-NSC) in Korea, this study attempted to prove the hypothesis that COPD is a risk factor for major cancers developing outside of the lungs. We also aimed to investigate the environmental factors associated with the development of lung cancer in COPD patients.
METHODS: This study analyzed data from the NHIS-NSC over a 12-year period. Among the 514,795 subjects in the NHIS-NSC, 16,757 patients who were diagnosed with any cancer from 2002 to 2003 were excluded. This cohort enrolled six arms consisting of never-smokers without COPD (N = 313,553), former smokers without COPD (N = 41,359), smokers without COPD (N = 112,627), never-smokers with COPD (N = 7789), former smokers with COPD (N = 1085), and smokers with COPD (N = 2677).
RESULTS: Incident rate of lung cancer per 100,000 person-year was higher according to smoking and COPD (216 in non-COPD and 757 in COPD among never-smokers, 271 in non-COPD and 1266 in COPD among former smokers, 394 in non-COPD and 1560 in COPD among smokers, p <  0.01). Old age, male sex, lower BMI, low exercise level, history of diabetes mellitus, smoking, and COPD were independent factors associated with the development of lung cancer (p <  0.01). Multi-variable analyses showed that COPD, regardless of smoking status, contributed to the development of lung cancer, and colorectal cancer and liver cancer among other major cancers (p <  0.01).
CONCLUSION: Our data suggested that COPD was an independent risk factor for the development of lung cancer, and colorectal cancer and liver cancer among other major cancers in the Korean population, regardless of smoking status.

Entities:  

Keywords:  COPD; Cancer; Smoking

Year:  2020        PMID: 32539764      PMCID: PMC7296952          DOI: 10.1186/s12890-020-01194-8

Source DB:  PubMed          Journal:  BMC Pulm Med        ISSN: 1471-2466            Impact factor:   3.317


Background

Chronic obstructive pulmonary disease (COPD) outpaces other major diseases as a cause of mortality throughout the entire world and is expected to rank third among all causes of death by 2020 [1-3]. Many co-morbidities accompanying COPD influence the major outcomes of COPD [2, 4, 5]. Interestingly, COPD is a well-known risk factor for the development of lung cancer, independent of smoking behavior [6-8]. Therefore, many studies have evaluated the relationship between COPD and lung cancer [6-9]. The pathologic mechanism contributing to the development of lung cancer in COPD has been explained by telomere shortening, chronic inflammation, the increased expression of growth factors in COPD lungs, and oxidant-induced DNA damage resulting in mutations and carcinogenesis [8, 10, 11]. However, it has not been reported yet whether COPD can be a risk factor for cancers developing outside of the lungs despite the evidence that systemic inflammation is the characteristic feature of COPD [2, 5]. In addition to smoking, radiation, exposure to carcinogens, such as asbestos and radon, air pollution, etc., are risk factors for the development of lung cancer [12, 13]. Nevertheless, most environmental risk factors for lung cancer, except for smoking exposure, require further validation. Therefore, the authors hypothesized that the process of tumorigenesis in COPD may not be limited to the lungs but can also affect the body systemically, leading to the development of major cancers outside the lungs. Hence, this study attempted to prove the hypothesis that COPD is a risk factor for, not only lung cancer but also other major cancers by investigating a cohort in the National Health Insurance Service–National Sample Cohort (NHIS-NSC). The current study also further sought to examine the environmental factors associated with the development of lung cancer in COPD patients.

Methods

Study population

This study analyzed data from the National Health Insurance Service-National Sample Cohort (NHIS-NSC). The NHIS-NSC is a population-based cohort established by the National Health Insurance Service (NHIS) in South Korea [14]. The NHIS is a single-payer health insurance system in South Korea that covers the entire South Korean population (approximately 48 million in 2003). The NHIS provides biennial health screening to all insured adults aged 40 years or older. The NHIS-NCS database consists of 514,795 participants who were aged between 40 and 79 in 2002 and underwent health screening programs in 2002 or 2003; 2002 for participants born in an even year and 2003 for participants born in an odd year (Fig. 1).
Fig. 1

Flow diagram of this study

Flow diagram of this study After excluding 16,757 patients (12,063 never smokers, 1685 former smokers, and 3009 smokers) with previous histories of cancer diagnoses before January 1, 2004, classified by the International Classification of Diseases 10th revision (ICD-10) codes for cancer diagnoses or questionnaires on previous medical history, 321,342 never-smokers, 42,444 former smokers, and 115,304 smokers were included in the final study cohort (Fig. 1). Finally, the cohort consisted of six arms, never-smokers without COPD (N = 313,553), former smokers without COPD (N = 41,359), smokers without COPD (N = 112,627), never-smokers with COPD (N = 7789), former smokers with COPD (N = 1085), and smokers with COPD (N = 2677) (Fig. 1). We investigated the development of new cancers, including lung cancer, stomach cancer, colorectal cancer, liver cancer, acute myeloid leukemia (AML), esophageal cancer, bladder cancer, and kidney cancer for a 12-year period from January 1, 2004, to December 31, 2015 (Figs. 1 and 2).
Fig. 2

Study design

Study design

Definition and covariates

COPD was identified by the combination of J43-J44 ICD-10 codes for COPD and use of the following medications for COPD (≥ 4 times in 2 years): long-acting muscarinic antagonists (LAMA), long-acting beta-2 agonists (LABA), LAMA + LABA, inhaled corticosteroids (ICS) + LABA, triple therapy (LAMA + LABA + ICS), short-acting muscarinic antagonists (SAMA), short-acting beta-2 agonists (SABA), phosphodiesterase-4 (PDE-4) inhibitors, mucolytics, or theophylline [15, 16]. Detailed history of smoking (smoking amount, duration, and non-smoking period) and exercise status (intensity and frequency per week) were evaluated by self-administered questionnaires at baseline in 2002 or 2003. Former smokers were defined as smokers whose smoking cessation period was 1 year or more at enrollment [17]. Data on body mass index (body weight in kilograms divided by height in meters squared; kg/m2), systolic and diastolic blood pressure, fasting serum glucose, and fasting total cholesterol level measured at baseline were obtained.

Main outcome measures

The primary outcome was the incidence of lung cancer. The secondary outcomes were the incidence of stomach cancer, colorectal cancer, liver cancer, AML, esophageal cancer, bladder cancer, and kidney cancer. The outcome measures were ascertained by health insurance claims data in the NHIS from January 1, 2004, to December 31, 2015. The first incident event was only used in the analyses for participants with more than one event. ICD-10 codes were used to identify outcomes as follows: lung cancer (C33, C34), stomach cancer (C16), colorectal cancer (C18 - C20), liver cancer (C22), AML (C92.0), esophageal cancer (C15), bladder cancer (C67), and kidney cancer (C64 - C66).

Statistical analyses

All values were expressed as mean ± standard deviation. Continuous and categorical variables were analyzed with one-way analyses of variance (ANOVA) and chi-square tests, respectively. Univariate Cox proportional hazards regression analyses were used to identify significant variables predicting the occurrence of an event individually (p <  0.01). Then, multivariable Cox proportional hazard models were performed to evaluate the independent effects of COPD on the development of cancer, adjusting for age, gender, hypertension, diabetes, body mass index, and exercise variables. Hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated for the risk of lung cancer, stomach cancer, colorectal cancer, liver cancer, AML, esophageal cancer, bladder cancer, and kidney cancer. A conservative threshold of p <  0.01 was determined to be significant, considering a large sample size of this study [18]. All analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC, USA).

Ethics statement

Informed written consent was obtained from all participants and the present study was approved by the Institutional Review Board of Ajou University Hospital (No. AJIRB-MED-EXP-17-167).

Results

Baseline characteristics of this cohort

The baseline characteristics of the NHIS-NSC participants are shown in Table 1.
Table 1

Baseline characteristics of the cohort

Never smokerFormer smokerSmoker
No COPDCOPDNo COPDCOPDNo COPDCOPDP
Number313,553 (65.45)7789 (1.63)41,359 (8.63)1085 (0.23)112,627 (23.51)2677 (0.56)
Age (years)53.64 ± 9.6262.23 ± 9.8751.65 ± 9.1262.43 ± 10.1650.92 ± 8.7461.29 ± 9.83< 0.001
Gender (male), N (%)107,393 (34.25)2799 (35.94)39,292 (95.00)1005 (92.63)106,695 (94.73)2368 (88.46)< 0.001
BMI (kg/m2)24.08 ± 3.0124.02 ± 3.3924.31 ± 2.7323.18 ± 3.0523.73 ± 2.9422.97 ± 3.28< 0.001
  < 2023,181 (7.39)847 (10.87)2205 (5.33)157 (14.47)11,102 (9.86)514 (19.20)< 0.001
 20 ≤ < 25178,681 (56.99)4071 (52.27)22,958 (55.51)642 (59.17)65,174 (57.87)1466 (54.76)< 0.001
 25 ≤ < 30101,536 (32.38)2556 (32.82)15,247 (36.87)265 (24.42)34,045 (30.23)633 (23.65)< 0.001
 30 ≤10,155 (3.24)315 (4.04)949 (2.29)21 (1.94)2306 (2.05)64 (2.39)< 0.001
Systolic blood pressure (mmHg)126.71 ± 18.55130.61 ± 19.21128.56 ± 17.16130.07 ± 18.70127.71 ± 17.55128.88 ± 18.59< 0.001
Diastolic blood pressure (mmHg)97.28 ± 33.29100.50 ± 38.1899.56 ± 32.21101.26 ± 44.08100.40 ± 37.72101.86 ± 34.78< 0.001
Fasting serum glucose (mg/dL)200.88 ± 38.50201.56 ± 39.47201.17 ± 37.52196.79 ± 42.59199.10 ± 38.39195.80 ± 42.63< 0.001
Total cholesterol (mg/dL)313,553 (65.45)7789 (1.63)41,359 (8.63)1085 (0.23)112,627 (23.51)2677 (0.56)< 0.001
Exercise level
 Non exercise187,422(60.81)5387 (70.08)16,159 (39.74)619 (58.18)59,485 (52.97)1848 (69.42)< 0.001
 Once or twice a week63,023 (20.45)1078 (14.02)13,986 (34.40)239 (22.46)33,756 (30.06)450 (16.90)
 At least three times a week57,778 (18.75)1225 (15.90)10,517 (25.86)206 (19.36)19,063 (16.97)364 (13.67)
Incident rate of lung cancer per 100,000 person year: average of six arms = 27821675727112663941560<  0.001
Prevalence of cancer for 12 years, N (%)
 Lung cancer (C33-C34)7669 (2.44)609 (7.82)1263 (3.05)129 (11.89)4899 (4.35)398 (14.87)< 0.001
 Stomach cancer (C16)7979 (2.54)310 (3.98)1464 (3.54)64 (5.90)4170 (3.70)143 (5.34)< 0.001
 Colorectal cancer (C18-C20)12,126 (3.87)505 (6.48)1847 (4.47)65 (5.99)4783 (4.25)203 (7.58)< 0.001
 Liver cancer (C22)12,681 (4.04)446 (5.73)2091 (5.06)81 (7.47)6131 (5.44)188 (7.02)< 0.001
 AML (C92.0)181 (0.06)5 (0.06)19 (0.05)1 (0.09)74 (0.07)3 (0.11)0.600
 Esophageal cancer (C15)463 (0.15)29 (0.37)124 (0.30)3 (0.28)474 (0.42)15 (0.56)< 0.001
 Bladder cancer (C67)2367 (0.75)100 (1.28)426 (1.03)18 (1.66)1083 (0.96)39 (1.46)< 0.001
 Kidney cancer (C64-C66)1740 (0.55)58 (0.74)276 (0.67)12 (1.11)729 (0.65)24 (0.90)< 0.001
Past medical history, N (%)
 Hypertension29,436 (9.39)1257 (16.14)3334 (8.06)143 (13.18)5974 (5.30)282 (10.53)< 0.001
 Diabetes mellitus12,904 (4.12)539 (6.92)1949 (4.71)65 (5.99)4559 (4.05)173 (6.46)< 0.001

Definition of abbreviations: AML Acute myeloid leukemia, BMI Body mass index, COPD Chronic obstructive pulmonary disease

Baseline characteristics of the cohort Definition of abbreviations: AML Acute myeloid leukemia, BMI Body mass index, COPD Chronic obstructive pulmonary disease Among 514,795 subjects in the NHIS-NSC database, this study enrolled six arms consisting of never-smokers without COPD (N = 313,553, males = 34.25%), former smokers without COPD (N = 41,359, males = 95.00%), smokers without COPD (N = 112,627, males = 94.73%), never-smokers with COPD (N = 7789, males = 35.94%), former smokers with COPD (N = 1085, males = 92.63%), and smokers with COPD (N = 2677, males = 88.46%) selected by COPD ICD 10 codes, history of COPD medications, and excluding patients with previous histories of any cancer (Fig. 1). During the 12-year period, lung cancer developed much higher in never-smokers with COPD (7.82%), former smokers with COPD (11.89%), and smokers with COPD (14.87%) than in never-smokers without COPD (2.44%) (p <  0.001). Incident rate of lung cancer per 100,000 person-year was higher according to smoking and COPD (216 in non-COPD and 757 in COPD among never-smokers, 271 in non-COPD and 1266 in COPD among former smokers, 394 in non-COPD and 1560 in COPD among smokers, p <  0.001). The prevalence of lung cancer, stomach cancer, colorectal cancer, liver cancer, esophageal cancer, bladder cancer, and kidney cancer was higher according to smoking history and COPD diagnosis (p <  0.001).

Risk factors for the development of lung cancer

Univariate cox regression analysis found that older age, male sex, lower BMI, history of hypertension, history of diabetes mellitus, exercise level, COPD diagnosis, and smoking history were associated with the development of lung cancer (p <  0.001) (Table 2). Multi-variable Cox regression analyses showed that older age, male sex, lower BMI, exercise level, COPD diagnosis, and smoking history were independently associated with the development of lung cancer (p <  0.01) (Table 2).
Table 2

Risk factors for the development of lung cancer

Cox regression analysis
Univariate Hazard ratio (95% CI)p-valueMultivariate Hazard ratio (95% CI)p-value
Age (years)1.072 (1.070–1.074)< 0.0011.074 (1.072–1.076)< 0.001
Male (vs female)1.866 (1.803–1.931)< 0.0011.789 (1.717–1.864)< 0.001
BMI (kg/m2)< 0.001< 0.001
 < 201.661(1.582–1.744)1.323 (1.256–1.393)
 20 ≤ < 25ReferenceReference
 25 ≤ < 300.852 (0.769–0.945)0.885 (0.795–0.985)
 30 ≤0.446 (0.396–0.501)0.837 (0.705–0.994)
History of hypertension1.414(1.344–1.488)< 0.0010.990(0.939–1.044)0.718
History of diabetes mellitus1.579(1.477–1.688)< 0.0011.186(1.108–1.269)< 0.001
COPD diagnosis3.752(3.530–3.988)< 0.0012.046(1.922–2.177)< 0.001
Exercise level< 0.001< 0.001
 Never Exercise1.178 (1.129–1.229)1.145 (1.095–1.198)
 1–2 times a week0.888 (0.816–0.966)1.010 (0.925–1.103)
 ≥ 3 times a weekReferenceReference
Smoking status< 0.001< 0.001
 Never smokerReferenceReference
 Former smoker1.277(1.205–1.352)1.108(1.042–1.178)
 Current smoker1.860(1.797–1.926)1.689(1.622–1.759)

Definition of abbreviations: BMI Body mass index, COPD Chronic obstructive pulmonary disease, * = statistically significant hazard ratio (p-value < 0.01)

Risk factors for the development of lung cancer Definition of abbreviations: BMI Body mass index, COPD Chronic obstructive pulmonary disease, * = statistically significant hazard ratio (p-value < 0.01)

Risk factors for the development of other major cancers including stomach cancer, colorectal cancer, liver cancer, esophageal cancer, and bladder cancer

Smoking was independently associated with the development of stomach cancer, colorectal cancer, liver cancer, esophageal cancer, and bladder cancer, and exercise level was independently associated with the development of stomach cancer and liver cancer (p <  0.01) (Supplement table 1, 2, 3, 4 and 5).

COPD as a risk factor for the development of major cancers

Multi-variable cox regression analyses were performed in three models: Model 1 (adjusted for age and sex), Model 2 (Model 1 + an additional adjustment for history of hypertension and history of diabetes mellitus), Model 3 (Model 2 + an additional adjustment for BMI and exercise). The multi-variable Cox regression analyses demonstrated that COPD in never-smokers, former smokers, and smokers contributed to the development of lung cancer in all three models (Model 3: COPD in never-smokers, HR = 2.046; COPD in former smokers, HR = 2.267; COPD in smokers, HR = 3.456 (all p-values < 0.001) (Table 3). In addition, COPD in never-smokers, former smokers, and current smokers contributed to the development of colorectal cancer and liver cancer among other major cancers (all p-values < 0.001) (Tables 3 and 4).
Table 3

COPD as a risk factor for the development of major cancers by multi-variate cox regression analyses

Hazard Ratio (95% CI)
Model 1 Hazard ratio (95% CI)p-valueModel 2 Hazard ratio (95% CI)p-valueModel 3 Hazard ratio (95% CI)p-value
Lung cancer
 Never smoker without COPDReferenceReferenceReference
Former smoker without COPD1.100 (1.035–1.170)0.0021.100 (1.035–1.169)0.0021.108 (1.043–1.178)< 0.001
Smoker without COPD1.752 (1.683–1.823)< 0.0011.749 (1.681–1.821)< 0.0011.689 (1.622–1.759)< 0.001
 Never smoker with COPD2.086 (1.960–2.220)< 0.0012.086 (1.960–2.220)< 0.0012.046 (1.922–2.177)< 0.001
 Former smoker with COPD2.295 (2.105–2.503)< 0.0012.294 (2.104–2.502)< 0.0012.267 (2.079–2.472)0.001
 Current smoker with COPD3.654 (3.396–3.932)< 0.0013.650 (3.392–3.927)< 0.0013.456 (3.211–3.720)< 0.001
Stomach cancer
 Never smoker without COPDReferenceReferenceReference
Former smoker without COPD1.105 (1.042–1.172)0.0011.104 (1.041–1.171)0.0011.111 (1.048–1.178)< 0.001
Smoker without COPD1.249 (1.198–1.302)< 0.0011.249 (1.197–1.302)< 0.0011.289 (1.184–1.289)< 0.001
 Never smoker with COPD1.067 (0.976–1.167)0.1541.067 (0.976–1.167)0.1551.056 (0.966–1.155)0.231
 Former smoker with COPD1.179 (1.060–1.312)0.0021.178 (1.060–1.311)0.0031.174 (1.055–1.306)0.003
 Current smoker with COPD1.333 (1.208–1.470)< 0.0011.332 (1.208–1.470)< 0.0011.305 (1.183–1.440)< 0.001
Colorectal cancer
 Never smoker without COPDReferenceReferenceReference
Former smoker without COPD1.045 (0.992–1.102)0.0961.043 (0.990–1.099)0.1131.046 (0.992–1.102)0.095
Smoker without COPD1.086 (1.046–1.128)< 0.0011.089 (1.048–1.131)< 0.0011.088 (1.047–1.130)< 0.001
 Never smoker with COPD1.277 (1.197–1.374)< 0.0011.277 (1.186–1.374)< 0.0011.273 (1.183–1.370)< 0.001
 Former smoker with COPD1.335 (1.221–1.460)< 0.0011.332 (1.218–1.456)< 0.0011.331 (1.217–1.455)< 0.001
 Current smoker with COPD1.387 (1.278–1.505)< 0.0011.390 (1.281–1.509)< 0.0011.385 (1.276–1.503)< 0.001
Liver cancer
 Never smoker without COPDReferenceReferenceReference
Former smoker without COPD1.034 (0.985–1.086)0.1811.031 (0.982–1.083)0.2191.040 (0.990–1.093)0.116
Smoker without COPD1.168 (1.128–1.209)< 0.0011.168 (1.128–1.210)< 0.0011.162 (1.122–1.204)< 0.001
 Never smoker with COPD1.229 (1.139–1.322)< 0.0011.228 (1.138–1.325)< 0.0011.217 (1.128–1.313)< 0.001
 Former smoker with COPD1.271 (1.162–1.391)< 0.0011.266 (1.157–1.386)< 0.0011.266 (1.157–1.386)< 0.001
 Current smoker with COPD1.435 (1.321–1.560)< 0.0011.434 (1.320–1.559)< 0.0011.415 (1.302–1.537)< 0.001

Model 1: adjusted for age and sex

Model 2: Model 1 + additional adjustment for history of hypertension, and history of diabetes mellitus

Model 3: Model 2 + additional adjustment for BMI and Exercise

Definition of abbreviations: BMI Body mass index, COPD Chronic obstructive pulmonary disease, * = statistically significant hazard ratio (p-value < 0.01)

Table 4

COPD as a risk factor for the development of other cancers by multi-variate cox regression analyses

Hazard Ratio (95% CI)
Model 1 Hazard ratio (95% CI)p-valueModel 2 Hazard ratio (95% CI)p-valueModel 3 Hazard ratio (95% CI)p-value
AML
 Never smoker without COPDReferenceReferenceReference
Former smoker without COPD0.617 (0.382–0.998)0.0490.616 (0.381–0.996)0.0480.632 (0.391–1.022)0.061
Smoker without COPD0.922 (0.684–1.242)0.5930.925 (0.686–1.246)0.6080.914 (0.678–1.233)0.556
 Never smoker with COPD1.064 (0.544–2.083)0.8561.064 (0.544–2.082)0.8571.047 (0.535–2.049)0.895
 Former smoker with COPD0.657 (0.289–1.494)0.3160.655 (0.288–1.491)0.3140.661 (0.291–1.505)0.324
 Current smoker with COPD0.981 (0.473–2.037)0.9590.984 (0.474–2.043)0.9650.957 (0.460–1.989)0.905
Esphageal cancer
 Never smoker without COPDReferenceReferenceReference
Former smoker without COPD1.303 (1.061–1.600)0.0121.303 (1.061–1.599)0.0121.304 (1.062–1.601)0.011
Smoker without COPD2.082(1.810–2.395)< 0.0012.080 (1.808–2.394)< 0.0011.968 (1.709–2.267)< 0.001
 Never smoker with COPD0.973 (0.722–1.312)0.8580.973 (0.722–1.312)0.8580.945 (0.700–1.274)0.708
 Former smoker with COPD1.268 (0.885–1.817)0.1971.268 (0.884–1.817)0.1971.231 (0.859–1.765)0.257
 Current smoker with COPD2.026 (1.460–2.810)< 0.0012.024 (1.459–2.808)< 0.0011.859 (1.338–2.583)< 0.001
Bladder cancer
 Never smoker without COPDReferenceReferenceReference
Former smoker without COPD1.090 (0.977–1.216)0.1211.088 (0.975–1.214)0.1291.089 (0.976–1.215)0.127
Smoker without COPD1.131 (1.044–1.225)0.0031.136 (1.049–1.231)0.0021.142 (1.053–1.237)0.001
 Never smoker with COPD1.145 (0.973–1.347)0.1041.145 (0.973–1.347)0.1031.146 (0.974–1.348)0.101
 Former smoker with COPD1.248 (1.027–1.516)0.0261.246 (1.026–1.514)0.0271.247 (1.027–1.516)0.026
 Current smoker with COPD1.295 (1.081–1.550)0.0051.301(1.087–1.558)0.0041.308 (1.092–1.566)0.004
Kidney cancer
 Never smoker without COPDReferenceReferenceReference
Former smoker without COPD1.002 (0.875–1.148)0.9750.998 (0.871–1.143)0.9740.999 (0.873–1.144)0.992
Smoker without COPD1.054 (0.956–1.163)0.2881.066 (0.967–1.176)0.1981.075 (0.974–1.185)0.152
 Never smoker with COPD1.076 (0.870–1.331)0.4991.076 (0.870–1.330)0.5011.077 (0.871–1.332)0.493
 Former smoker with COPD1.079 (0.839–1.386)0.5551.073 (0.835–1.379)0.5811.076 (0.838–1.383)0.565
Current smoker with COPD1.135 (0.899–1.432)0.2871.147 (0.909–1.447)0.2471.157 (0.917–1.461)0.219

Model 1: adjusted for age and sex

Model 2: Model 1 + additional adjustment for history of hypertension, and history of diabetes mellitus

Model 3: Model 2 + additional adjustment for BMI and Exercise

Definition of abbreviations: AML Acute myeloid leukemia, BMI Body mass index, COPD Chronic obstructive pulmonary disease, * = statistically significant hazard ratio (p-value < 0.01)

COPD as a risk factor for the development of major cancers by multi-variate cox regression analyses Model 1: adjusted for age and sex Model 2: Model 1 + additional adjustment for history of hypertension, and history of diabetes mellitus Model 3: Model 2 + additional adjustment for BMI and Exercise Definition of abbreviations: BMI Body mass index, COPD Chronic obstructive pulmonary disease, * = statistically significant hazard ratio (p-value < 0.01) COPD as a risk factor for the development of other cancers by multi-variate cox regression analyses Model 1: adjusted for age and sex Model 2: Model 1 + additional adjustment for history of hypertension, and history of diabetes mellitus Model 3: Model 2 + additional adjustment for BMI and Exercise Definition of abbreviations: AML Acute myeloid leukemia, BMI Body mass index, COPD Chronic obstructive pulmonary disease, * = statistically significant hazard ratio (p-value < 0.01)

Discussion

Our study provides a comprehensive analysis of COPD as a risk factor for major cancers in the Korean population. Our data revealed that COPD in the Korean population was an independent risk factor contributing to the development of lung cancer, and colorectal cancer and liver cancer among other major cancers, irrespective of smoking status. In this analysis of a national cohort representative of the Korean population with up to 12 years of follow-up, multi-variable analysis demonstrated that male gender, lower BMI, history of diabetes mellitus, and exercise level, along with smoking status and COPD diagnosis, were independent risk factors for the development of lung cancer. Our study presents several interesting findings. First, our data showed that COPD diagnosis was independently associated with the occurrence of lung cancer by all models analyzed by Cox regression analyses, suggesting that COPD per se contributes to the development of lung cancer, irrespective of smoking behavior. Studies based on Korean National Health and Nutrition Examination Survey also showed that advanced age, male gender, low income, pulmonary tuberculosis, and asthma were independent risk factors for COPD in non-smokers [19, 20]. The incident rate of lung cancer per 100,000 person-year was higher than the previous report on general Korean population [21]. This higher rate of lung cancer could be explained by the average older age of this cohort (higher than 50 years old in all six arms), because of which this cohort cannot represent general Korean population. The association between COPD and lung cancer has been explained by several mechanisms [22-24]. Repeated injury and repair by chronic inflammation and frequent exacerbations in COPD may result in tissue injury and DNA damage, leading to malignant cell transformation and the development of lung cancer [22]. Multiple genetic factors may explain the link between the development of COPD and lung carcinogenesis [23, 24]. However, there is an opposing perspective that the pathologic processes of COPD and lung cancer appear to be different, since features of COPD include destruction and apoptosis, whereas lung cancer is characterized by unrestrained proliferation and lack of apoptosis [9, 25]. Recent bodies of clinical evidence have suggested that emphysema and severe airflow obstruction increased the risk of lung cancer beyond the effect of smoking [26, 27]. Several pathological mechanisms, including premature aging, genetic predisposition, and epigenetic changes, have been proposed to explain the carcinogenesis in emphysematous lungs [10, 28]. In a clinical trial in a large Veterans Affairs patient cohort, statins were shown to be protective against the development of lung cancer, reducing the incidence of lung cancer over 50% [29]. Second, our data found that the prevalence of stomach cancer, colorectal cancer, and liver cancer was higher according to smoking and COPD diagnoses. Multi-variable analyses demonstrated an independent association between COPD, and colorectal cancer and liver cancer among other major cancers. Theoretically, the spillover of aberrant inflammation in COPD can lead to systemic consequences, such as carcinogenesis in other organs. Our study supports our original hypothesis that COPD is an independent risk factor for the development of some major cancers occurring outside the lungs. A recent study demonstrated the intimate relationship between malignant cells and their inflammatory microenvironment [30]. Inflammation is increased in COPD and experiments with anti-inflammatory treatments, such as Nrf2 activators and statins, showed the potential to inhibit the proliferation of cancer cells by reducing inflammation [31]. To our knowledge, no study has ever reported any link between COPD and major cancers occurring outside the lung. Hence, these findings should be further validated with other big cohorts. Third, this cohort study identified environmental factors including low exercise level and lower BMI, as independent risk factors contributing to the development of lung cancer, indicating that multidisciplinary approaches are required for the prevention of lung cancer in COPD. Our finding that a reduced BMI was independently linked to the development of lung cancer contradicts the conventional notion that obesity is pathogenically linked to carcinogenesis [32, 33]. Several studies highlighted an obesity paradox suggesting that obesity may be protective and associated with reduced lung cancer mortality after surgery or chemotherapy [32, 34, 35]. Although the mechanisms behind this paradoxical relationship are not fully understood, anti-tumor adipokines, anti-tumor energy reserve, metabolic fitness, relative lack of sarcopenia, etc., have been suggested as potential biological mechanisms to explain this obesity paradox [34]. Most studies, however, have focused on the mortality of patients with lung cancer after surgery or chemotherapy [32, 34, 35]. Our study is different from previous studies on the prognosis after a lung cancer diagnosis because we investigated the development of cancers in a cancer-free cohort by a longitudinal design [32, 34, 35]. Our findings are supported by previous reports that emphysema characterized by lower BMI was a risk factor for lung cancer, although this study did not examine the phenotype of COPD in our cohort [36, 37]. However, a recent cohort study comparing 433 COPD patients with 279 healthy controls reported that obesity in COPD patients predicted higher lung cancer risk [36]. Therefore, further studies are required to investigate the controversial relationship between obesity and lung cancer. Our finding that lower exercise levels were an independent risk factor for the development of lung cancer is supported by previous studies [38-40]. Some studies reported an approximate 25% reduction in lung cancer risk by higher levels of physical activities [38, 40]. Good adherence to established nutrition and physical activity through cancer prevention guidelines is recommended since significant reductions in overall cancer incidence and mortality were reported by these methods [39]. Epidemiologic studies have suggested that healthy lifestyle choices should be encouraged since controlling environmental factors, such as diet, BMI, and physical activity, can effectively lower the prevalence of cancers [39, 41]. Further prospectively designed research on environmental factors contributing to cancer development should provide valid scientific data from which to develop appropriate public health strategies. We acknowledge several limitations of this study. First, defining COPD by pulmonary function test was not possible due to the lack of information. Second, the pathologic type of each cancer was not investigated because of limited information in the NHIS-NSC. Third, disease-specific risk factors were not controlled in some cancers, including infections by hepatitis B and C viruses in liver cancer and emphysema in lung cancer. Fourth, medication history was not taken into consideration in our analysis because the current study was not a randomized controlled trial. Fifth, air pollution and occupation were not investigated as causal factors for cancer development in our analysis. Sixth, some major cancers such as breast cancer and prostate cancer were not included in the analysis because data access was not available due to technological problems. Seventh, selection bias could be inherent in this study because the ratio of non-smoker COPD, women, and never-smokers was higher in this cohort than in general Korean population. The NHIS-NSC includes only those who participated in the health screening program provided by NHIS in South Korea. Hence, the unscreened population of Korea cannot be represented by this cohort.

Conclusion

Our data demonstrated that a COPD diagnosis was an independent risk factor contributing to the development of lung cancer and, colorectal cancer and liver cancer among other major cancers, irrespective of smoking status in the Korean population. This study also suggested that old age, male gender, lower BMI, history of diabetes mellitus, and low exercise level, along with smoking status and COPD diagnosis were independent factors contributing to the development of lung cancer, suggesting that multidisciplinary approaches are required for the prevention of lung cancer in COPD patients. Additional file 1. Table 1. Risk factors for the development of stomach cancer. Table 2. Risk factors for the development of colorectal cancer. Table 3. Risk factors for the development of liver cancer. Table 4. Risk factors for the development of esophageal cancer. Table 5. Risk factors for the development of bladder cancer.
  41 in total

1.  Risk factors for lung function impairment among the general non-smoking Korean population.

Authors:  J-P Myong; H-K Yoon; C K Rhee; H-R Kim; J-W Koo
Journal:  Int J Tuberc Lung Dis       Date:  2015-09       Impact factor: 2.373

2.  Physical activity and risk of lung cancer.

Authors:  I M Lee; H D Sesso; R S Paffenbarger
Journal:  Int J Epidemiol       Date:  1999-08       Impact factor: 7.196

Review 3.  COPD, emphysema and the onset of lung cancer. A systematic review.

Authors:  Cecilia Mouronte-Roibás; Virginia Leiro-Fernández; Alberto Fernández-Villar; Maribel Botana-Rial; Cristina Ramos-Hernández; Alberto Ruano-Ravina
Journal:  Cancer Lett       Date:  2016-09-22       Impact factor: 8.679

Review 4.  The epidemiology and economics of chronic obstructive pulmonary disease.

Authors:  David M Mannino; Sidney Braman
Journal:  Proc Am Thorac Soc       Date:  2007-10-01

5.  Statins reduce the risk of lung cancer in humans: a large case-control study of US veterans.

Authors:  Vikas Khurana; Hanmanth R Bejjanki; Gloria Caldito; Michael W Owens
Journal:  Chest       Date:  2007-05       Impact factor: 9.410

6.  In vitro mechanisms of lovastatin on lung cancer cell lines as a potential chemopreventive agent.

Authors:  Elena Maksimova; Ting-An Yie; William N Rom
Journal:  Lung       Date:  2007-11-22       Impact factor: 2.584

7.  Low lung function and incident lung cancer in the United States: data From the First National Health and Nutrition Examination Survey follow-up.

Authors:  David M Mannino; Samuel M Aguayo; Thomas L Petty; Stephen C Redd
Journal:  Arch Intern Med       Date:  2003-06-23

8.  The Relationship Between Air Pollution and Lung Cancer in Nonsmokers in Taiwan.

Authors:  Chien-Hua Tseng; Ben-Jei Tsuang; Chun-Ju Chiang; Kai-Chen Ku; Jeng-Sen Tseng; Tsung-Ying Yang; Kuo-Hsuan Hsu; Kun-Chieh Chen; Sung-Liang Yu; Wen-Chung Lee; Tsang-Wu Liu; Chang-Chuan Chan; Gee-Chen Chang
Journal:  J Thorac Oncol       Date:  2019-01-18       Impact factor: 15.609

Review 9.  Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary.

Authors:  Klaus F Rabe; Suzanne Hurd; Antonio Anzueto; Peter J Barnes; Sonia A Buist; Peter Calverley; Yoshinosuke Fukuchi; Christine Jenkins; Roberto Rodriguez-Roisin; Chris van Weel; Jan Zielinski
Journal:  Am J Respir Crit Care Med       Date:  2007-05-16       Impact factor: 21.405

Review 10.  Epidemiology of Lung Cancer in Korea: Recent Trends.

Authors:  Ji Young Park; Seung Hun Jang
Journal:  Tuberc Respir Dis (Seoul)       Date:  2016-03-31
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1.  Chronic Obstructive Pulmonary Disease Is Associated with Epigenome-Wide Differential Methylation in BAL Lung Cells.

Authors:  Jonas Eriksson Ström; Simon Kebede Merid; Jamshid Pourazar; Anders Blomberg; Anne Lindberg; Mikael V Ringh; Michael Hagemann-Jensen; Tomas J Ekström; Annelie F Behndig; Erik Melén
Journal:  Am J Respir Cell Mol Biol       Date:  2022-06       Impact factor: 7.748

2.  Impaired Lung Function and Lung Cancer Incidence: A Nationwide Population-Based Cohort Study.

Authors:  Hye Seon Kang; Yong-Moon Park; Seung-Hyun Ko; Seung Hoon Kim; Shin Young Kim; Chi Hong Kim; Kyungdo Han; Sung Kyoung Kim
Journal:  J Clin Med       Date:  2022-02-18       Impact factor: 4.241

3.  Potential Implications of the Lung Microbiota in Patients with Chronic Obstruction Pulmonary Disease and Non-Small Cell Lung Cancer.

Authors:  Jia-Qi He; Qin Chen; Sheng-Jun Wu; De-Qin Wang; Shen-Yingjie Zhang; Song-Zhao Zhang; Rui-Lin Chen; Jia-Feng Wang; Zhen Wang; Chen-Huan Yu
Journal:  Front Cell Infect Microbiol       Date:  2022-07-27       Impact factor: 6.073

4.  Prevalence of lung cancer in chronic obstructive pulmonary disease: A systematic review and meta-analysis.

Authors:  Guixiang Zhao; Xuanlin Li; Siyuan Lei; Hulei Zhao; Hailong Zhang; Jiansheng Li
Journal:  Front Oncol       Date:  2022-09-16       Impact factor: 5.738

  4 in total

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