Abstract
Background:
There is growing evidence that chronic obstructive pulmonary disease (COPD) can increase the risk of lung cancer, which poses a serious threat to treatment and management. Therefore, we performed a meta-analysis of lung cancer prevalence in patients with COPD with the aim of providing better prevention and management strategies.
Methods:
We systematically searched PubMed, EMBASE, Web of Science, and Cochrane Library databases from their inception to 20 March 2022 to collect studies on the prevalence of lung cancer in patients with COPD. We evaluated the methodological quality of the included studies using the tool for assessing the risk of bias in prevalence studies. Meta-analysis was used to determine the prevalence and risk factors for lung cancer in COPD. Subgroup and sensitivity analyses were conducted to explore the data heterogeneity. Funnel plots combined with Egger’s test were used to detect the publication biases.
Results:
Thirty-one studies, covering 829,490 individuals, were included to investigate the prevalence of lung cancer in patients with COPD. Pooled analysis demonstrated that the prevalence of lung cancer in patients with COPD was 5.08% (95% confidence interval [CI]: 4.17–6.00%). Subgroup analysis showed that the prevalence was 5.09% (95% CI: 3.48–6.70%) in male and 2.52% (95% CI: 1.57–4.05%) in female. The prevalence of lung cancer in patients with COPD who were current and former smokers was as high as 8.98% (95% CI: 4.61–13.35%) and 3.42% (95% CI: 1.51–5.32%); the incidence rates in patients with moderate and severe COPD were 6.67% (95% CI: 3.20–10.14%) and 5.57% (95% CI: 1.89–16.39%), respectively, which were higher than the 3.89% (95% CI: 2.14–7.06%) estimated in patients with mild COPD. Among the types of lung cancer, adenocarcinoma and squamous cell carcinoma were the most common, with incidence rates of 1.59% (95% CI: 0.23–2.94%) and 1.35% (95% CI: 0.57–3.23%), respectively. There were also differences in regional distribution, with the highest prevalence in the Western Pacific region at 7.78% (95% CI: 5.06–10.5%), followed by the Americas at 3.25% (95% CI: 0.88–5.61%) and Europe at 3.21% (95% CI: 2.36–4.06%).
Conclusions:
This meta-analysis shows that patients with COPD have a higher risk of developing lung cancer than those without COPD. More attention should be given to this result in order to reduce the risk of lung cancer in these patients with appropriate management and prevention.
Systematic review registration:
International prospective register of systematic reviews, identifier CRD42022331872.
Introduction
Chronic obstructive pulmonary disease (COPD) is a common respiratory disease characterized by persistent respiratory symptoms and airflow restriction, with a high risk of morbidity, disability rate, mortality, and heavy disease burden, which seriously impacts human health (1, 2). The prevalence of COPD has increased by 44.2% and reached 174.5 million individuals worldwide from 1990 to 2015 (3), although it remains so far underestimated (4). More than 5.4 million people will die from COPD and related diseases each year by 2060, according to predictions made by the World Health Organization (WHO) (5). As the third leading cause of death worldwide (6, 7), COPD has caused serious economic burden and social pressure and has become a major public health problem (8, 9). The cost of treating COPD is expected to be $800.09 billion in the next 20 years, which is approximately $40 billion per year in the United States (10). Patients with COPD are at a high risk of multiple comorbidities, which have a significant impact on disease progression, hospitalization, and mortality (11–13). As reported by the National Lung Screening Trial, the incidence of lung cancer in patients with airway obstruction has increased by 2.15 times (14), and lung cancer is a critical cause of hospitalization and death in patients with COPD (15). Therefore, it is necessary to emphasize the importance of prevention and treatment of lung cancer in patients with COPD.
Lung cancer is one of the malignant tumors with the highest morbidity and mortality worldwide, especially in male patients, and has a devastating impact on the life expectancy (16). The number of individuals newly diagnosed with lung cancer was up to 2.2 million (11.4%) as reported by Global Cancer Statistics in 2020, and the number of patients with lung cancer that died in the world that year was approximately 1.8 million (18.0%) (16). The onset of lung cancer is insidious, and 75% of patients have reached an advanced stage when visiting a doctor (17). Related studies have shown that the 5-year survival rate of patients with advanced lung cancer is less than 5% (18). Importantly, it has been reported that 45–63% of patients with lung cancer are globally affected by COPD (19). As two major respiratory diseases with the highest mortality, patients with COPD seem to have a higher incidence of lung cancer than patients without COPD (20, 21).
Although previous studies have found that COPD increases the risk of lung cancer, no unified conclusions have been reached owning to the differences in survey periods, sample demographic characteristics, and types of included studies. Currently, there is still no specific epidemiological conclusion concerning an evaluation of the risk of lung cancer in patients with COPD, according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines. In addition, several high-quality observational studies (22–29) investigating the risk of lung cancer in patients with COPD have recently been published. Therefore, we systematically collected data from existing observational population-based studies to determine whether patients with COPD have an increased risk of lung cancer.
Methods
This study was performed in strict accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) (30). The protocol of this systematic review was registered in the Prospective Register of Systematic Reviews (PROSPERO), and the registry number is CRD42022331872.
Search strategy
We systematically searched the PubMed, EMBASE, Web of Science, and Cochrane Library databases without language restrictions from their inception to 20 March 2022. Medical Subject Headings (MESH) terms and keywords used in the search were (“Pulmonary Disease, Chronic Obstructive” OR “Chronic Obstructive Pulmonary Disease*” OR “Chronic Airflow Obstruction*” OR “Chronic Obstructive lung Disease” OR “COPD” OR “COAD” OR “Chronic Obstructive Airway Disease”) AND (“lung neoplasm*” OR “pulmonary neoplasm*” OR “lung cancer” OR “pulmonary cancer” OR “lung tumor” OR “pulmonary tumor” OR “lung carcinoma”). Detailed retrieval strategies and steps are presented in Supplement Table 1. Furthermore, the reference lists of the retrieved articles and relevant reviews were also manually examined to identify other potentially eligible studies.
Eligibility criteria
Articles were included if they met the following criteria: (1) observational studies that reported on the prevalence of lung cancer in patients with COPD; (2) the exposed group consisted of patients with any grade of COPD, and the control group consisted of patients without COPD; (3) the prevalence of lung cancer was chosen as the primary outcome.
Exclusion criteria
(1) Conference abstracts or study protocols; (2) duplicate published studies based on the same observation population; and (3) containing data with errors and patients diagnosed with non-COPD upon our failure to extract information.
Study selection
The study selection was conducted independently by two reviewers (GX Zhao and XL Li) to screen suitable articles. Duplicate and irrelevant studies were excluded based on their titles and abstracts. Thereafter, the full text of each potentially eligible study was carefully read and reviewed based on the inclusion and exclusion criteria stated above. Any disagreements were resolved by consultation with a third investigator (JS Li) until consensus was reached.
Data extraction
Two reviewers (GX Zhao and SY Lei) independently followed the data extraction guidelines for systematic evaluation and meta-analysis (31), using predesigned forms to extract and summarize the relevant information of the eligible studies. The following information was extracted: Author, year of publication, study type, country, study period or year of follow-up, sample size, lung cancer diagnosis, sex distribution, mean or median age, COPD severity, smoking status, lung cancer type, and confounder adjustment. Any disagreements were resolved with a third investigator (HL Zhang) through consultation until a consensus was reached.
Assessment of risk of bias
We used the disease prevalence quality tool modified by Hoy et al. (32) to assess the quality of the included studies, which consisted of 10 items. The score of each item was 1 or 0, and the total scores of each observational study was between 0 and 10, with higher scores indicating better study quality. Study quality was defined according to the total score of each study, with scores of 0–5, 6–8, and 9–10 for low, moderate, and high quality, respectively.
Statistical analysis
Data were extracted from the included studies to calculate the prevalence of lung cancer in patients with COPD. We performed a meta-analysis using the double arcsine transformation of proportions, which is appropriate for binomial data and allows the adoption of inverse variance methods to calculate binomial and test score-based CIs (33). The chi-square test and I2 value were used to assess the heterogeneity. A high heterogeneity was existed if P < 0.1 or I2 > 50%, and the random-effects model was adopted. Subgroup analysis was conducted to determine whether the prevalence was influenced by sex, smoking status, COPD severity, cancer type, and region. Otherwise, a fixed-effects model was selected. To confirm the robustness of the overall results, we performed a sensitivity analysis by excluding one study each time and then re-running it. Funnel plots was used to visually detect publication bias, and Egger’s regression test was used to statistically inspect publication bias. We pooled OR and 95% CIs to assess whether sex, COPD severity, and smoking status were risk factors for lung cancer in patients with COPD. All statistical analyses were conducted by using Stata statistical software version 15.1.
Results
Identification of studies
A total of 8,254 related studies were retrieved through electronic and manual searching from the initial examination, of which 1,681 duplicates, 6,573 unrelated studies were excluded after reading titles and abstracts. After screening qualified articles by reading the full text, 31 (13, 22–26, 34–55) studies were included in the meta-analysis. The study selection process is shown in (Figure 1).
Figure 1
Study characteristics
Overall, we included 31studies covering 829,490 patients with COPD, including twenty-one (13, 22–26, 34–48) cohort studies, three (27, 49, 50) case-control studies and seven (28, 29, 51–55) cross-sectional studies. These studies were published from 2003 to 2022 with definite diagnostic criteria, and the sample sizes ranged from 198 to 236,494. Data were acquired from 13 countries: China, Korea, Japan, the United States, the United Kingdom, Germany, Denmark, Norway, Spain, Lithuania, Sweden, Turkey, and the Netherlands. Fifteen, twelve, and two studies were conducted in the European region, Western Pacific region, and Americas, respectively. Besides, two studies (13, 41) included both the United States and Spain, simultaneously. The main characteristics of the included trials are summarized in Table 1.
Table 1
| Reference | Country | Study design | COPD | Lung cancer | Duration or range of follow-up, years | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Diagnosis | Sample size | Age (years) | M/F | Diagnosis | Sample size | M/F | ||||
| Sandelin et al.2018 (22) | Swedish | Retrospective cohort | ICD-10-CM code J44 | 19894 | – | 9452/110442 | ICD-10 code C34 | 594 | 291/303 | 1999.1.1-2009.12.31 |
| Ahn et al., 2020 (23) | Korean | Retrospective cohort | ICD-10 codes J43-J44 | 11551 | – | 6172/5379 | ICD-10 codes C33-C34 | 1136 | – | 2004.1.1-2015.12.31 |
| Husebøet al., 2019 (24) | Norway | Prospective cohort | Clinical and Spirometry confirmed | 433 | 63.5 ± 6.9 | 258/175 | Norwegian Cancer Registry | 28 | – | 9 |
| Park et al., 2020 (25) | Korean | Retrospective cohort | ICD-10 codes J43-J44 | 58972 | – | – | ICD-10 code C33 or C34 | 290 | – | 2002.1.1-2013.12.31 |
| Machida et al., 2021 (26) | Japan | Prospective cohort | Spirometry confirmed | 224 | 70.4 ± 8.4 | 214/10 | CT | 19 | 19 | 2014.1-2020.4 |
| Sakai et al., 2020 (27) | Japan | Retrospective cohort | Spirometry confirmed | 198 | 69.7 ± 8.0 | 184/14 | – | 43 | – | 2011.4.1-2015.7.16 |
| Montserrat et al., 2021 (28) | Spain | Retrospective cross-sectional | Spirometry confirmed | 24135 | 72 ± 11 | 18612/5523 | ICD-10 | 552 | – | 2012.1.1-2017.12.31 |
| Jurevičienė et al., 2022 (29) | Lithuanian | Retrospective cross-sectional | ICD-10-AMD J44.8 | 4834 | 67.2 ± 8.4 | 3338/1496 | ICD 10 code C33, C34 | 186 | – | 2012.1.1-2014.6.30 |
| Thomsen et al., 2012 (34) | Denmark | Prospective cohort | ICD8: 490–492; ICD10: J44 | 8656 | 65 (57, 74) | 47%/53% | ICD10 code C34 | 93 | – | 5 |
| Chubachi et al., 2016 (35) | Japan | Prospective cohort | Spirometry confirmed | 311 | 72.3 ± 8.2 | 278/33 | clinical history and medical records | 13 | – | 2 |
| Divo et al., 2012 (13) | USA + Spain | Prospective cohort | Spirometry confirmed | 1659 | 66 ± 9 | 1477/182 | medical record and direct questioning | 151 | – | 1997.11-2010.3 |
| Westerik et al., 2017 (36) | Dutch | Retrospective cohort | ICPC code R95 in the electronic medical record | 14603 | 66.5 ± 11.5 | 7749/6854 | ICPC code R84 | 317 | – | 2012–2013.12.31 |
| Lin et al.2013 (37) | China | Retrospective case-control | ICD-9-CM code 496 | 2630 | – | 2096/534 | cytologically or histologically confirmed | 181 | – | 2006.1.1-2011.12.31 |
| de Torres et al., 2007 (38) | Spain | Prospective cohort | Spirometry confirmed | 1166 | 54 ± 8 | 74% vs 26% | CT and Biopsy | 23 | – | 2000.9-2005.12 |
| Purdue et al., 2007 (39) | Swedish | Retrospective cohort | Spirometry confirmed | 6849 | – | 6849 | ICD-7 codes 162, 163 | 175 | 175 | 1971-2001 |
| Wilson et al., 2008 (40) | USA | Prospective cohort | Spirometry confirmed | 1486 | – | – | medical records and pathology reports | 67 | – | 3.26 |
| Rodríguez et al., 2010 (41) | UK | Prospective cohort | Oxford Medical Information System [OXMIS] and Read codes | 1924 | – | – | Oxford Medical Information System [OXMIS] and Read codes | 48 | – | 1996.1.31-2001 |
| de Torres et al., 2011 (42) | USA + Spain | Prospective cohort | Spirometry confirmed | 2507 | 65 ± 9 | 2307/200 | medical records and pathology reports | 215 | 205/10 | 1997.1-2009.12 |
| Kornum et al., 2012 (43) | Danish | Prospective cohort | ICD-8 codes:491-492; ICD-10 codes: J41-J44 | 236494 | – | 129344/107150 | medical records and pathology reports | 10118 | – | 1980-2008 |
| Shen et al., 2014 (44) | China | Retrospective cohort | ICD-9-CM 491, 492, and 496 | 20730 | 70 | 13291/7439 | ICD-9-CM 162 | 729 | 575/154 | 1998-2011 |
| Hasegawa et al., 2014 (45) | Japan | Retrospective cohort | ICD-10 codes: J41, J42, J43, J44 | 172707 | – | 136632/36075 | ICD-10 codes C34 | 13930 | – | 2010.7.1-2013.3.31 |
| Roberts et al., 2011 (46) | UK | Prospective cohort | ICD10 code J44 and J45/46 (asthma) later confirmed as COPD | 9716 | 73 ± 10 | 4906/4810 | Medical records confirmed by physician | 180 | – | 2008.3-2008.8 |
| Ställberg et al., 2018 (47) | Swedish | Retrospective cohort | ICD-10 code: J44 | 17479 | – | – | ICD-10 code: C34 | 1091 | – | 2000-2014 |
| Mannino et al., 2003 (48) | USA | Prospective cohort | Spirometry confirmed | 5402 | – | 2473/2929 | ICD-9 code: 162 | 113 | – | 1971-1992 |
| Schneider et al., 2010 (49) | UK | Retrospective case-control | OXMIS codes | 35772 | – | 18351/17421 | OXMIS codes | 2585 | 1526/1059 | 1995.1.1-2005.12.31 |
| Greulich et al., 2017 (50) | Germany | Retrospective case-control | ICD-10: J41, J43, J44 | 146141 | 67.2 ± 12.41 | 51%/49% | ICD-10 code not provided | 2663 | – | 2013.1.1-2014.12.31 |
| Jo et al., 2015 (51) | Korean | Retrospective cross-sectional | ICD-10 code: J44 | 744 | 65.0 ± 9.40 | ICD-10 code: C34 | 97 | – | 2010-2012 | |
| Deniz et al., 2016 (52) | Turkey | Retrospective cross-sectional | Spirometry confirmed | 3095 | 71.9 ± 10.5 | 2434/661 | Medical records | 58 | – | 2014.1.1-2014.12.31 |
| Jung et al., 2018 (53) | Korean | Retrospective cross-sectional | ICD 10 code J44 | 15949 | 69 (60, 76) | 9039/6910 | ICD 10 code C34 | 753 | 590/163 | 2011.1-2011.12 |
| Masuda et al., 2017 (54) | Japan | Retrospective cohort | Spirometry confirmed | 920 | – | 651/269 | self-reported and confirmed by a physician | 13 | 10/3 | 2009.4-2010.3 |
| Nishida et al., 2017 (55) | Japan | Retrospective cross-sectional | Spirometry confirmed | 2309 | 69.06 ± 10.53 | 1549/760 | ICD-10 code C34 | 354 | – | 2005.9-2008.12 |
Basic characteristics of the included studies.
COPD, chronic obstructive pulmonary disease; F: female; M: male; ICD, International Classification of Diseases; -: No mentioned.
Quality assessment
We evaluated the quality of the included studies, and the average score of the included cohort studies, case-control studies, and cross-sectional studies were 7.90, 8.33, and 8.43, respectively, which suggested that the studies included in our meta-analysis were of high quality. Ten cohort studies (22, 23, 25, 34, 36, 41, 43-45, 48), two case-control studies (49, 50) and five cross-sectional studies (28, 37, 51, 53, 54) with scores ≥ 9 were classified as high-quality studies, and the remaining observational studies were of moderate quality. The specific score information for all included observational studies is shown in Table 2.
Table 2
| Study Items | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | Scores | Overall of quality |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cohort studies | ||||||||||||
| Thomsen, M. 2012 (34) | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 | High |
| S. Chubachi, 2016 (35) | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 | Moderate |
| M. Divo, 2012 (13) | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 | Moderate |
| J.A.M. Westerik, 2017 (36) | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 | High |
| Lin, S. H. 2013 (37) | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 | Moderate |
| Sandelin, M. 2018 (22) | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 | High |
| Ahn, S. V. 2020 (23) | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 | High |
| de Torres, J. P. 2007 (38) | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 | Moderate |
| Purdue, M. P. 2007 (39) | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 | Moderate |
| Wilson, D. O. 2008 (40) | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 | Moderate |
| Rodríguez, L. A. 2010 (41) | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 | High |
| De Torres, J. P. 2011 (42) | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 | Moderate |
| Kornum, J. B. 2012 (43) | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 | High |
| Shen, T. C. 2014 (44) | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 | High |
| Husebø, G. R. 2019 (24) | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 | Moderate |
| Park, H. Y. 2020 (25) | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 | High |
| Machida, H. 2021 (26) | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 6 | Moderate |
| W. Hasegawa, 2014 (45) | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 | Moderate |
| C.M. Roberts, 2011 (46) | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 | Moderate |
| Ställberg, B. 2018 (47) | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 | Moderate |
| Mannino DM, 2003 (48) | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 | High |
| Case-control studies | ||||||||||||
| Schneider, C. 2010 (49) | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 | High |
| Greulich, T. 2017 (50) | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 | High |
| Sakai, T. 2020 (27) | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 | Moderate |
| Cross-sectional studies | ||||||||||||
| Y.S. Jo, 2015 (51) | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 | High |
| S. Deniz, A. 2016 (52) | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 | Moderate |
| Jung, H. I. 2018 (53) | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 | High |
| Montserrat-Capdevila, J. 2021 (28) | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 | High |
| Jurevičienė, E. 2022 (29) | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 | High |
| Masuda, S. 2017 (54) | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 9 | High |
| Nishida, Y. 2017 (55) | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 | Moderate |
Risk of bias for included studies.
1.Was the study’s target population a close representation of the national population in relation to relevant variables?
2.Was the sampling frame a true or close representation of the target population?
3.Was some form of random selection used to select the sample, or was a census undertaken?
4.Was the likelihood of nonresponse bias minimal?
5.Were data collected directly from the subjects (as opposed to a proxy)?
6.Was an acceptable case definition used in the study?
7.Was the study instrument that measured the parameter of interest shown to have validity and reliability?
8.Was the same mode of data collection used for all subjects?
9.Was the length of the shortest prevalence period for the parameter of interest appropriate?
10.Were the numerator(s) and denominator(s) for the parameter of interest appropriate?
Prevalence of lung cancer in COPD patients
Thirty-one observational studies reported that the prevalence of lung cancer among patients with COPD ranged from 0.49% to 21.7%, and the overall estimated prevalence was 5.08% (95% CI: 4.17–6.00%; I2 = 99.8%, P = 0.000). Of these studies, the estimated pooled prevalence of 21 cohort studies, three case-control studies, and seven cross-sectional studies were 4.58% (95% CI: 3.27–5.89%; I2 = 99.9%, P = 0.000), 8.67% (95% CI: 4.00–13.35%; I2 = 99.9%, P = 0.000), and 5.72% (95% CI: 4.02–7.41%; I2 = 98.9%, P = 0.000), respectively, as shown in Figure 2. Sensitivity analysis proved that the estimated pooled prevalence was still ≥ 4% after excluding one study at a time, which confirmed the high stability of our results in Table 3.
Figure 2
Table 3
| Study design | Deletion | Result |
|---|---|---|
| Cohort study | Thomsen M, 2012 (34) | ES = 5.23%, 95% CI [4.29%, 6.18%] |
| Lin SH, 2013 (37) | ES = 5.02%, 95% CI [4.09%, 5.95%] | |
| Sandelin M, 2018 (23) | ES = 5.17%, 95% CI [4.22%, 6.11%] | |
| Ahn SV, 2020 (24) | ES = 4.91%, 95% CI [3.99%, 5.82%] | |
| de Torres JP, 2007 (38) | ES = 5.19%, 95% CI [4.26%, 6.12%] | |
| Purdue MP, 2007 (39) | ES = 5.18%, 95% CI [4.24%, 6.11%] | |
| Wilson DO, 2008 (40) | ES = 5.10%, 95% CI [4.17%, 6.04%] | |
| Rodríguez, L. A. 2010 (41) | ES = 5.18%, 95% CI [4.24%, 6.11%] | |
| de Torres JP, 2011 (42) | ES = 4.97%, 95% CI [4.04%, 5.89%] | |
| Kornum JB, 2012 (43) | ES = 5.14%, 95% CI [4.16%, 6.12%] | |
| Shen TC, 2014 (44) | ES = 5.15%, 95% CI [4.21%, 6.09%] | |
| Husebø GR, 2019 (24) | ES = 5.04%, 95% CI [4.12%, 5.97%] | |
| Park HY, 2020 (25) | ES = 5.22%, 95% CI [4.33%, 6.11%] | |
| Machida H, 2021 (26) | ES = 5.01%, 95% CI [4.08%, 5.93%] | |
| Ställberg B, 2018 (47) | ES = 5.04%, 95% CI [4.12%, 5.97%] | |
| Mannino DM, 2003 (48) | ES = 5.19%, 95% CI [4.26%, 6.13%] | |
| Hasegawa W, 2014 (45) | ES = 4.85%, 95% CI [4.10%, 5.59%] | |
| Roberts CM, 2011 | ES = 5.20%, 95% CI [4.26%, 6.15%] | |
| Chubachi S, 2016 (35) | ES = 5.11%, 95% CI [4.18%, 6.04%] | |
| Divo M, 2012 (13) | ES = 4.95%, 95% CI [4.02%, 5.88%] | |
| Westerik JA, 2017 (36) | ES = 5.20%, 95% CI [4.25%, 6.14%] | |
| Cross-sectional study | Jung, HI, 2018 (53) | ES = 5.10%, 95% CI [4.17%, 6.03%] |
| Montserrat-Capdevila J. 2021 (28) | ES = 5.20%, 95% CI [4.24%, 6.15%] | |
| Jurevičienė E. 2022 (29) | ES = 5.13%, 95% CI [4.20%, 6.06%] | |
| Masuda S, 2017 (54) | ES = 5.21%, 95% CI [4.28%, 6.14%] | |
| Nishida Y, 2017 (55) | ES = 4.75%, 95% CI [3.82%, 5.67%] | |
| Jo YS, 2015 (51) | ES = 4.86%, 95% CI [3.93%, 5.78%] | |
| Deniz S, 2016 (52) | ES = 5.20%, 95% CI [4.27%, 6.13%] | |
| Case-control study | Sakai T. 2020 (27) | ES = 4.84%, 95% CI [3.92%, 5.76%] |
| Schneider C, 2010 (49) | ES = 5.00%, 95% CI [4.09%, 5.91%] | |
| Greulich T, 2017 (50) | ES = 5.27%, 95% CI [4.20%, 6.35%] |
Sensitivity analysis showing the effect of lung cancer in COPD.
Subgroup analysis
In terms of sex, nine studies (22, 26, 39, 41, 44, 48, 49, 54, 54) investigated the prevalence of lung cancer in male patients with COPD, covering 62,627 individuals, with a prevalence ranging from 1.54% to 8.89%, and the estimated pooled prevalence was 5.09% (95% CI: 3.48–6.70%; I2 = 98.8%, P = 0.000). Eight (22, 26, 41, 44, 48, 49, 53, 54) studies illustrated that the prevalence of lung cancer in female patients with COPD was 2.52% (95% CI: 1.57–4.05%; I2 = 99.9%, P = 0.000) (Table 4).
Table 4
| Subgroups | Studies | Total | Events | Model | ES | Heterogeneity | P difference | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| n | (95%CI) | I2 | P | ||||||||
| Gender | |||||||||||
| Male | 9 | 62627 | 3472 | random | 5.09% (3.48%, 6.70%) | 98.80% | 0 | 0.000 | |||
| Female | 8 | 45620 | 1724 | random | 2.52% (1.57%, 4.05%) | 99.90% | 0 | 0.000 | |||
| Smoking status | |||||||||||
| Never smoking | 4 | 52863 | 744 | random | 0.68% (0.10%, 4.65%) | 100% | 0 | 0.000 | |||
| Former smoking | 4 | 20812 | 323 | random | 3.42% (1.51%, 5.32%) | 97.600% | 0 | 0.000 | |||
| Current smoking | 5 | 9879 | 731 | random | 8.98% (4.61%, 13.35%) | 98.40% | 0 | 0.000 | |||
| COPD severity | |||||||||||
| Mild | 6 | 5311 | 151 | random | 3.89% (2.14%, 7.06%) | 99.40% | 0 | 0.000 | |||
| Moderate | 3 | 1986 | 141 | random | 6.67% (3.20%, 10.14%) | 87.00% | 0 | 0.000 | |||
| Severe | 2 | 835 | 70 | random | 5.57% (1.89%, 16.39%) | 94.70% | 0 | 0.000 | |||
| Cancer type | |||||||||||
| Small cell carcinoma | 3 | 8213 | 35 | random | 0.78% (0.78%, 1.77%) | 99.70% | 0 | 0.000 | |||
| Adenocarcinoma | 3 | 8213 | 68 | random | 1.59% (0.23%, 2.94%) | 90.90% | 0 | 0.022 | |||
| Squamous cell carcinoma | 3 | 8213 | 75 | random | 1.35% (0.57%, 3.23%) | 99.70% | 0 | 0.000 | |||
| Region | |||||||||||
| European | 15 | 531191 | 18711 | random | 3.21% (2.36%, 4.06%) | 99.6% | 0 | 0.000 | |||
| Western Pacific region | 12 | 287245 | 17558 | random | 7.78% (5.06%, 10.5%) | 99.9% | 0 | 0.000 | |||
| Americas | 2 | 6888 | 180 | random | 3.25% (0.88%, 5.61%) | 94.40% | 0 | 0.007 | |||
Subgroup analysis of the prevalence of lung cancer in COPD.
CH, Cohort study; CS, Cross-sectional study; CC, Case-control study.
Six studies comprehensively described the influence of smoking status on the prevalence of lung cancer in patients with COPD. Of these studies, the prevalence of lung cancer was estimated in current smokers in five (23, 26, 39, 42, 48), in former smokers in four (23, 25, 39, 48), and in never smokers in four (23, 25, 39, 48). The estimated prevalence according to the smoking status was 8.98% (95% CI: 4.61–13.35%; I2 = 98.4%, P = 0.000), 3.42% (95% CI: 1.51–5.32%; I2 = 97.6%, P = 0.000), and 0.68% (95% CI: 0.10–4.65%; I2 = 100%, P = 0.000), respectively (Table 4).
Regarding the severity of COPD, six studies (26, 39, 40, 42, 48, 54) provided comprehensive information on the incidence of COPD combined with lung cancer at different stages. Among them, six (26, 39, 40, 42, 48, 54), three (26, 40, 42), and two (26, 42) studies reported lung cancer prevalence in patients with mild, moderate, and severe COPD, respectively, with a pooled prevalence of 3.89% (95% CI: 2.14–7.06%; I2 = 99.4%, P = 0.000), 6.67% (95% CI: 3.20–10.14%; I2 = 87%, P = 0.000), and 5.57% (95% CI: 1.89–16.39%; I2 = 94.7%, P = 0.000), respectively (Table 4).
With respect to the histological subtype of lung cancer, three studies (27, 38, 39) described specific categories and the overall pooled prevalence of small cell lung cancer, adenocarcinoma, and squamous cell carcinoma in patients with COPD was 0.78% (95% CI: 0.34–1.77%; I2 = 99.7%, P = 0.000), 1.59% (95% CI: 0.23–2.94%; I2 = 90.9%, P = 0.022) and 1.35% (95% CI: 0.57–3.23%; I2 = 99.7%, P = 0.000), respectively (Table 4).
The prevalence of lung cancer among patients with COPD in different regions is of great significance. Fifteen (22, 24, 28, 29, 34, 36, 38, 39, 41, 43, 46, 47, 49, 50, 52) studies reported lung cancer prevalence in patients with COPD in the European region, ranging from 1.07% to 7.23%, with an estimated prevalence of 3.21% (95% CI: 2.36–4.06%; I2 = 99.6%, P = 0.000). In addition, 12 (23, 25–27, 35, 37, 44, 45, 51, 53–55) and two (40, 48) studies reported that the prevalence of lung cancer in patients with COPD in the Western Pacific and the Americas region, with a pooled prevalence of 7.78% (95% CI: 5.06–10.5%; I2 = 99.9%, P = 0.000) and 3.25% (95% CI: 0.88–5.61%; I2 = 94.4%, P = 0.007), respectively (Table 4).
Publication bias
The funnel plot exhibited visual asymmetry, whereas Egger’s test regression values (P = 0.052) indicated that the difference was insignificant in Figure 3. Regression tests indicated no publication bias in this meta-analysis.
Figure 3
Risk factors for lung cancer in COPD
Four studies (24, 44, 48, 53) reported the sex of patients with COPD and lung cancer, and the pooled OR suggested that sex was not a risk factor for lung cancer in COPD. Smoking status was examined in six studies (24–26, 39, 48, 49), and the analysis results indicated that smoking status of any type did increase the risk of lung cancer, with current smokers showing a higher risk (P ≤ 0.05). Five studies (24, 26, 40, 42, 48) focused on the COPD severity as a risk factor for lung cancer, and the results (pooled OR) showed that the risk was statistically significant in patients with mild and moderate COPD (Table 5).
Table 5
| Risk factors | Studies | Model | OR | Heterogeneity | P difference | |
|---|---|---|---|---|---|---|
| n | (95% CI) | I2 | P | |||
| Gender | ||||||
| Male | 4 | Random | 0.48 (0.09, 2.66) | 99.50% | 0 | 0.398 |
| Female | 2 | Random | 0.13 (0.00, 4.86) | 99.70% | 0 | 0.268 |
| COPD severity | ||||||
| Mild | 3 | Fixed | 1.79(1.23, 2.60) | 21.90% | 0.278 | 0.002 |
| Moderate | 3 | Fixed | 2.14(1.44, 3.18) | 0 | 0.931 | 0.000 |
| Severe | 2 | Fixed | 1.36(0.80, 2.31) | 0 | 0.419 | 0.251 |
| Very severe | 1 | Fixed | 0.60(0.18, 1.98) | 0 | 0.569 | 0.404 |
| Smoking status | ||||||
| Never smoking | 3 | Fixed | 2.94(2.38, 3.64) | 31.40% | 0.233 | 0.000 |
| Former smoking | 4 | Random | 3.17(1.30, 7.74) | 91.10% | 0 | 0.011 |
| Current smoking | 5 | Random | 3.94(1.28, 12.12) | 95.10% | 0 | 0.017 |
Analysis of the risk factors of lung cancer in COPD.
Discussion
Our review synthesized the current evidence on the prevalence of lung cancer in COPD in 31 populational-based studies covering 829,490 individuals with COPD to show a pooled prevalence of 5.08%, which indicated that lung cancer was an important comorbidity in patients with COPD. Our comprehensive review found that COPD was associated with an increased risk of lung cancer, which is consistent with the findings of previous studies (56, 57). A meta-analysis of a cohort study performed by Zhang et al. (56) showed that the prevalence of lung cancer in patients with COPD was 2.06%, and its subgroup analysis also revealed that locations and COPD severity played a role in increasing the risk of lung cancer. However, their results showed a lower prevalence than ours, which may be attributed to the fact that five (58–62) studies of lung cancer mortality in patients with COPD were included in their analysis, which may have affected the accuracy of the conclusion, particularly underestimating the prevalence of lung cancer in patients with COPD. A population-based review reported that patients with COPD were 6.35 times more likely to have lung cancer than those without COPD, and the pooled prevalence of lung cancer in patients with COPD was 2.79%, which was somewhat different from our results (57). The reason may be related to the different search databases, inclusion and exclusion criteria, and sample size. Unfortunately, their study did not include subgroup analysis or sensitivity analyses, which were adopted in ours to explore the sources of heterogenicity and to confirm that the results had a reliable stability. Furthermore, we pooled the analyses on the risk factors of lung cancer in COPD in order to provide stronger evidence for the relationship between COPD and lung cancer, with the aim of improved prevention and disease management.
The prevalence in male was evidently higher than that in female patients, which is different from the study of Zhang et al. (56). The reason may be that the pooled analysis of a previous systematic review included two studies on lung cancer mortality in COPD, which strikingly affected the analysis results. Also, compared with former smokers, the prevalence of current smokers clearly increased, whereas never smokers with COPD had an exceedingly low risk of lung cancer, indicating that to quit smoking was necessary in patients with COPD. The prevalence was closely related to the severity of COPD (63, 64), and the increased lung cancer risk was 20% when FEV1% predicted was decreased by 10% (65). However, our analysis of patients with very severe COPD showed that the prevalence of lung cancer was statistically insignificant, which was mainly attributed to insufficient sample size and demographics discrepancy. The histological subtype showed that adenocarcinoma was the most common cancer in patients with COPD, followed by squamous cell carcinoma, whereas the probability of small-cell occurrence was lower, which was consistent with a previous study (66). The prevalence of lung cancer in COPD was higher in the Western Pacific region than in the European and the Americas regions, which showed similar prevalence. These differences may owe to the relatively backward economic development as well as different aging population and medical conditions in the Western Pacific region.
Understanding the risk factors of lung cancer in patients with COPD can facilitate early prevention and management, thereby reducing the risk of lung cancer. Our result proved that sex should not be interpreted as a risk factor for lung cancer in patients with COPD, which may be associated with increasing female smoking, passive smoking, and indoor air pollutants such as the use of biomass fuel, cooking fumes, as well as poor ventilation systems (67, 68). As in other recent epidemiologic studies (25, 69, 70), the most common risk factor in our study was current smoking, followed by former smoking, and never smoking, which further verifies the harmful effects of tobacco. Also, COPD severity was a common risk factor for lung cancer. In this regard, mild and moderate COPD were statistically significant, which was principally attributed to different demographic characteristics, investigation period, study site, data extraction and processing methods.
The underlying mechanisms of lung cancer predisposition in patients could be deduced and explained based on the characteristics of COPD. First, the inflammatory microenvironment occurring in COPD may increase the probability of DNA damage and mutations (71, 72). Second, some susceptible genes related to COPD can affect the immune microenvironment of the lung by changing their expression pattern in various immune cells, which may lead in turn to the occurrence of lung cancer in COPD (73–75). Third, matrix metalloproteinases not only affect the progression of COPD but also degrade elastic fibers and may thus contribute to the progression and invasion of lung cancer (76, 77). Fourth, tissue hypoxia caused by obstruction of small airways and alveolar capillaries activates hypoxia-inducible factor 1, which can cause tumorigenesis, angiogenesis, and cell multiplication, and therefore accompany a metastatic phenotype (78). In summary, the pathological mechanism of lung cancer in COPD is complex and is related to genetic susceptibility, environmental factors, epithelial-mesenchymal transformation, endothelial-mesenchymal transformation, and extracellular matrix components and functions.
To the best of our knowledge, this systematic review is the largest and most comprehensive of its kind on lung cancer prevalence in patients with COPD. Subgroup and sensitivity analyses were performed to confirm the stability of results. In addition, the quality assessment of most included studies was better, which may have strengthened the reliability of the analysis results. Despite its strengths, our meta-analysis also has several limitations. First, owning to the differences in investigation periods, locations, sample sizes, and demographic characteristics, the heterogeneity of the pooled data was high, which could not be solved even by subgroup analysis. Furthermore, incomplete and missing reports on sex, smoking status, COPD severity, and other variables in the included studies caused imperfect comparisons of all influencing factors. Therefore, positive results should be interpreted with caution.
Conclusions
This review revealed that the prevalence of lung cancer in patients with COPD is higher, which was supported by evidence-based studies. These findings help to further promote the attention and prevention of lung cancer in patients with COPD and contribute to the development of global management strategies to reduce the occurrence of lung cancer in COPD.
Funding
This research was supported by the Chinese Medicine Inheritance and Innovation “Hundred and Ten Million” Talent Project – Chief Scientist of Qi-Huang Project ([2020] No. 219); Zhong-yuan Scholars and Scientists Project (No. 2018204); Characteristic backbone discipline construction project of Henan Province (STG-ZYXKY-2020007).
Publisher’s note
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Statements
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.
Author contributions
JL and XL contributed to the conception and design of the article; GZ and XL formulated the retrieval strategy and conducted the literature search. GZ, XL, SL, HuZ, and HaZ would answer for data interpretation and analysis; GZ and XL drafted the manuscript; XL, SL, HuZ, HaZ, and JL read and revised it. All authors reviewed and approved the final version of the manuscript.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2022.947981/full#supplementary-material
Appendix 1Search strategy. The retrieval strategies and steps for searching PubMed, EMBASE, Web of Science, and Cochrane Library.
Appendix 2PRISMA checklist.PRISMA checklist was adopted to normalize the report of this overview, in which the page numbers of the content were detailed.
References
1
Global Initiative for Chronic Obstructive Lung Disease. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease (2022 REPORT) . Available at: https://goldcopd.org/wp-content/uploads/2021/11/GOLD-REPORT-2022-v1.0-12Nov2021_WMV.pdf.
2
GBD. Chronic respiratory disease collaborators. prevalence and attributable health burden of chronic respiratory diseases, 1990-2017: A systematic analysis for the global burden of disease study 2017. Lancet Respir Med (2020) 8(6):585–96. doi: 10.1016/S2213-2600(20)30105-3
3
GBD 2015 Chronic Respiratory Disease Collaborators. Global, regional, and national deaths, prevalence, disability-adjusted life years, and years lived with disability for chronic obstructive pulmonary disease and asthma, 1990-2015: A systematic analysis for the global burden of disease study 2015. Lancet Respir Med (2017) 5(9):691–706. doi: 10.1016/S2213-2600(17)30293-X
4
Arce-AyalaYMDiaz-AlgorriYCraigTRamos-RomeyC. Clinical profile and quality of life of Puerto ricans with hereditary angioedema. Allergy Asthma Proc (2019) 40:103–10. doi: 10.2500/aap.2019.40.4200
5
Global Initiative for Chronic Obstructive Lung Disease. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease (2021 REPORT) . Available at: https://goldcopd.org/2021-gold-reports/.
6
WHO. Global health estimates: Life expectancy and leading causes of death and disability . Available at: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates.
7
WHO. The top 10 causes of death . Available at: https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death.
8
RehmanA UrMAAHSAMShahSAbbasSHyder AliIABet al. The economic burden of chronic obstructive pulmonary disease (COPD) in the USA, Europe, and Asia: Results from a systematic review of the literature. Expert Rev Pharmacoecon Outcomes Res (2020) 20(6):661–72. doi: 10.1080/14737167.2020.1678385
9
ZhuBWangYMingJChenWZhangL. Disease burden of COPD in China: A systematic review. Int J Chron Obstruct Pulmon Dis (2018) 27(13):1353–64. doi: 10.2147/COPD.S161555
10
ZafariZLiSEakinMNBellangerMReedRM. Projecting long-term health and economic burden of COPD in the united states. Chest (2021) 159(4):1400–10. doi: 10.1016/j.chest.2020.09.255
11
NegewoNAGibsonPGMcDonaldVM. COPD and its comorbidities: Impact, measurement and mechanisms. Respirology (2015) 20(8):1160–71. doi: 10.1111/resp.12642
12
SmithMCWrobelJP. Epidemiology and clinical impact of major comorbidities in patients with COPD. Int J Chron Obstruct Pulmon Dis (2014) 27(9):871–88. doi: 10.2147/COPD.S49621
13
DivoMCoteCde TorresJPCasanovaCMarinJMPinto-PlataVet al. Comorbidities and risk of mortality in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med (2012) 186(2):155–61. doi: 10.1164/rccm.201201-0034OC
14
YoungRPDuanFChilesCHopkinsRJGambleGDGrecoEMet al. Airflow limitation and histology shift in the national lung screening trial. the NLST-ACRIN cohort substudy. Am J Respir Crit Care Med (2015) 192(9):1060–7. doi: 10.1164/rccm.201505-0894OC
15
CarrLLJacobsonSLynchDAForemanMGFlenaughELHershCPet al. Features of COPD as predictors of lung cancer. Chest (2018) 153(6):13261335. doi: 10.1016/j.chest.2018.01.049
16
SungHFerlayJSiegelRLLaversanneMSoerjomataramIJemalAet al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin (2021) 71(3):209–49. doi: 10.3322/caac.21660
17
DetterbeckFCChanskyKGroomePBolejackVCrowleyJShemanskiLet al. The IASLC lung cancer stagingproject: methodology and validation used in the development of proposals for revision of the stage classification of NSCLC in the forthcoming (Eighth) edition of the TNM classification of lung cancer. J Thorac Oncol (2016) 11(09):1433–46. doi: 10.1016/j.jtho.2016.06.028
18
Blandin KnightSCrosbiePABalataHChudziakJHussellTDiveC. Progress and prospects of early detection in lung cancer. Open Biol (2017) 7(9):170070. doi: 10.1098/rsob.170070
19
YoungRPHopkinsR. The potential impact of chronic obstructive pulmonary disease in lung cancer screening: implications for the screening clinic. Expert Rev Respir Med (2019) 13(8):699–707. doi: 10.1080/17476348.2019.1638766
20
Mouronte-RoibásCLeiro-FernándezVFernández-VillarABotana-RialMRamos-HernándezCRuano-RavinaA. COPD. Emphysema and the onset of lung cancer. A systematic review. Cancer Lett (2016) 382(2):240–4. doi: 10.1016/j.canlet.2016.09.002
21
de-TorresJPMarínJMCasanovaCPinto-PlataVDivoMCoteCet al. Identification of COPD patients at high risk for lung cancer mortality using the COPD-LUCSS-DLCO. Chest (2016) 149(4):936–42. doi: 10.1378/chest.15-1868
22
SandelinMMindusSThuressonMLisspersKStällbergBJohanssonGet al. Factors associated with lung cancer in COPD patients. Int J Chron Obstruct Pulmon Dis (2018) 13:1833–9. doi: 10.2147/COPD.S162484
23
AhnSVLeeEParkBJungJHParkJESheenSSet al. Cancer development in patients with COPD: A retrospective analysis of the national health insurance service-national sample cohort in Korea. BMC Pulm Med (2020) 20(1):170. doi: 10.1186/s12890-020-01194-8
24
HusebøGRNielsenRHardieJBakkePSLernerLD'Alessandro-GabazzaCet al. Risk factors for lung cancer in COPD - results from the Bergen COPD cohort study. Respir Med (2019) 152:81–8. doi: 10.1016/j.rmed.2019.04.019
25
ParkHYKangDShinSHYooKHRheeCKSuhGYet al. Chronic obstructive pulmonary disease and lung cancer incidence in never smokers: A cohort study. Thorax (2020) 75(6):506–9. doi: 10.1136/thoraxjnl-2019-213732
26
MachidaHInoueSShibataYKimuraTOtaTIshibashiYet al. The incidence and risk analysis of lung cancer development in patients with chronic obstructive pulmonary disease: Possible effectiveness of annual CT-screening. Int J Chron Obstruct Pulmon Dis (2021) 16:739–49. doi: 10.2147/COPD.S287492
27
SakaiTHaraJYamamuraKAboMOkazakiAOhkuraNet al. Histopathological type of lung cancer and underlying driver mutations in patients with chronic obstructive pulmonary disease (COPD) versus patients with asthma and COPD overlap: A single-center retrospective study. Turk Thorac J (2020) 21(2):75–9. doi: 10.5152/TurkThoracJ.2019.18100
28
Montserrat-CapdevilaJMarsalJROrtegaMCastañ-AbadMTAlsedàMBarbéFet al. Clinico-epidemiological characteristics of men and women with a new diagnosis of chronic obstructive pulmonary disease: A database (SIDIAP) study. BMC Pulm Med (2021) 21(1):44. doi: 10.1186/s12890-021-01392-y
29
JurevičienėEBurneikaitėGDambrauskasLKasiulevičiusVKazėnaitėENavickasRet al. Epidemiology of chronic obstructive pulmonary disease (COPD) comorbidities in Lithuanian national database: A cluster analysis. Int J Environ Res Public Health (2022) 19(2):970. doi: 10.3390/ijerph19020970
30
PageMJMcKenzieJEBossuytPMBoutronIHoffmannTCMulrowCDet al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ (2021) 372:n71. doi: 10.1136/bmj.n71
31
TaylorKSMahtaniKRAronsonJK. Summarising good practice guidelines for data extraction for systematic reviews and meta-analysis. BMJ Evid Based Med (2021) 26(3):88–90. doi: 10.1136/bmjebm-2020-111651
32
HoyDBrooksPWoolfABlythFMarchLBainCet al. Assessing risk of bias in prevalence studies: modification of an existing tool and evidence of interrater agreement. J Clin Epidemiol (2012) 65(9):934–9. doi: 10.1016/j.jclinepi.2011.11.014
33
FreemanMFTukeyJW. Transformations related to the angular and the square root. Ann Math Statist (1950) 21(4):607–11. doi: 10.1214/aoms/1177729756
34
ThomsenMDahlMLangePVestboJNordestgaardBG. Inflammatory biomarkers and comorbidities in chronic obstructive pulmonary disease. Am J Respir Crit Care Med (2012) 186(10):982–8. doi: 10.1164/rccm.201206-1113OC
35
ChubachiSSatoMKameyamaNTsutsumiASasakiMTatenoHet al. Identification of five clusters of comorbidities in a longitudinal Japanese chronic obstructive pulmonary disease cohort. Respir Med (2016) 117:272–9. doi: 10.1016/j.rmed.2016.07.002
36
WesterikJAMettingEIvan BovenJFTiersmaWKocksJWSchermerTR. Associations between chronic comorbidity and exacerbation risk in primary care patients with COPD. Respir Res (2017) 18(1):31. doi: 10.1186/s12931-017-0512-2
37
LinSHJiBCShihYMChenCHChanPCChangYJet al. Comorbid pulmonary disease and risk of community-acquired pneumonia in COPD patients. Int J Tuberc Lung Dis (2013) 17(12):1638–44. doi: 10.5588/ijtld.13.0330
38
de TorresJPBastarrikaGWisniveskyJPAlcaideABCampoASeijoLMet al. Assessing the relationship between lung cancer risk and emphysema detected on low-dose CT of the chest. Chest (2007) 132(6):1932–8. doi: 10.1378/chest.07-1490
39
PurdueMPGoldLJärvholmBAlavanjaMCWardMHVermeulenR. Impaired lung function and lung cancer incidence in a cohort of Swedish construction workers. Thorax (2007) 62(1):51–6. doi: 10.1136/thx.2006.064196
40
WilsonDOWeissfeldJLBalkanASchraginJGFuhrmanCRFisherSNet al. Association of radiographic emphysema and airflow obstruction with lung cancer. Am J Respir Crit Care Med (2008) 178(7):738–44. doi: 10.1164/rccm.200803-435OC
41
RodríguezLAWallanderMAMartín-MerinoEJohanssonS. Heart failure, myocardial infarction, lung cancer and death in COPD patients: A UK primary care study. Respir Med (2010) 104(11):1691–9. doi: 10.1016/j.rmed.2010.04.018
42
de TorresJPMarínJMCasanovaCCoteCCarrizoSCordoba-LanusEet al. Lung cancer in patients with chronic obstructive pulmonary disease– incidence and predicting factors. Am J Respir Crit Care Med (2011) 184(8):913–9. doi: 10.1164/rccm.201103-0430OC
43
KornumJBSværkeCThomsenRWLangePSørensenHT. Chronic obstructive pulmonary disease and cancer risk: A Danish nationwide cohort study. Respir Med (2012) 106(6):845–52. doi: 10.1016/j.rmed.2011.12.009
44
ShenTCChungWSLinCLWeiCCChenCHChenHJet al. Does chronic obstructive pulmonary disease with or without type 2 diabetes mellitus influence the risk of lung cancer? Result from a population-based cohort study. PloS One (2014) 9(5):e98290. doi: 10.1371/journal.pone.0098290
45
HasegawaWYamauchiYYasunagaHSunoharaMJoTMatsuiHet al. Factors affecting mortality following emergency admission for chronic obstructive pulmonary disease. BMC Pulm Med (2014) 14(1):151. doi: 10.1186/1471-2466-14-151
46
RobertsCMStoneRALoweDPurseyNABuckinghamRJ. Co-Morbidities and 90-day outcomes in hospitalized COPD exacerbations. COPD (2011) 8(5):354–61. doi: 10.3109/15412555.2011.600362
47
StällbergBJansonCLarssonKJohanssonGKostikasKGruenbergerJBet al. Real-world retrospective cohort study ARCTIC shows burden of comorbidities in Swedish COPD versus non-COPD patients. NPJ Prim Care Respir Med (2018) 28(1):33. doi: 10.1038/s41533-018-0101-y
48
ManninoDMAguayoSMPettyTLReddSC. Low lung function and incident lung cancer in the united states: data from the first national health and nutrition examination survey follow-up. Arch Intern Med (2003) 163(12):1475–80. doi: 10.1001/archinte.163.12.1475
49
SchneiderCJickSSBothnerUMeierCR. Cancer risk in patients with chronic obstructive pulmonary disease. Pragmat Obs Res (2010) 1:15–23. doi: 10.2147/POR.S13176
50
GreulichTWeistBJDKoczullaARJanciauskieneSKlemmerALuxWet al. Prevalence of comorbidities in COPD patients by disease severity in a German population. Respir Med (2017) 132:132–8. doi: 10.1016/j.rmed.2017.10.007
51
JoYSChoiSMLeeJParkYSLeeSMYimJJet al. The relationship between chronic obstructive pulmonary disease and comorbidities: A cross-sectional study using data from KNHANES 2010-2012. Respir Med (2015) 109(1):96–104. doi: 10.1016/j.rmed.2014.10.015
52
DenizSŞengülAAydemirYÇeldir EmreJÖzhanMH. Clinical factors and comorbidities affecting the cost of hospital-treated COPD. Int J Chron Obstruct Pulmon Dis (2016) 11:3023–30. doi: 10.2147/COPD.S120637
53
JungHIParkJSLeeMYParkBKimHJParkSHet al. Prevalence of lung cancer in patients with interstitial lung disease is higher than in those with chronic obstructive pulmonary disease. Med (Baltimore) (2018) 97(11):e0071. doi: 10.1097/MD.0000000000010071
54
MasudaSOmoriHOnoueALuXKubotaKHigashiNet al. Comorbidities according to airflow limitation severity: data from comprehensive health examination in Japan. Environ Health Prev Med (2017) 22(1):13. doi: 10.1186/s12199-017-0620-0
55
NishidaYTakahashiYTezukaKYamazakiKYadaYNakayamaTet al. A comprehensive analysis of association of medical history with airflow limitation: A cross-sectional study. Int J Chron Obstruct Pulmon Dis (2017) 12:2363–71. doi: 10.2147/COPD.S138103
56
ZhangXJiangNWangLLiuHHeR. Chronic obstructive pulmonary disease and risk of lung cancer: A meta-analysis of prospective cohort studies. Oncotarget (2017) 8(44):78044–56. doi: 10.18632/oncotarget.20351
57
ButlerSJEllertonLRogerSGoldsteinRSBrooksD. Prevalence of lung cancer in chronic obstructive pulmonary disease: A systematic review. Respir Medicine: X (2019) 1:100003. doi: 10.18632/oncotarget.20351
58
van GestelYRHoeksSESinDDHüzeirVStamHMertensFWet al. COPD and cancer mortality: the influence of statins. Thorax (2009) 64(11):963–7. doi: 10.1136/thx.2009.116731
59
LeungCCLamTHYewWWLawWSTamCMChangKCet al. Obstructive lung disease does not increase lung cancer mortality among female never-smokers in Hong Kong. Int J Tuberc Lung Dis (2012) 16(4):546–52. doi: 10.5588/ijtld.11.0573
60
AldrichMCMunroHMMummaMGroganELMassionPPBlackwellTSet al. Chronic obstructive pulmonary disease and subsequent overall and lung cancer mortality in low-income adults. PloS One (2015) 10(3):e0121805. doi: 10.1371/journal.pone.0121805
61
OelsnerECCarrJJEnrightPLHoffmanEAFolsomARKawutSMet al. Per cent emphysema is associated with respiratory and lung cancer mortality in the general population: A cohort study. Thorax (2016) 71(7):624–32. doi: 10.1136/thoraxjnl-2015-207822
62
TurnerMCChenYKrewskiDCalleEEThunMJ. Chronic obstructive pulmonary disease is associated with lung cancer mortality in a prospective study of never smokers. Am J Respir Crit Care Med (2007) 176(3):285–90. doi: 10.1164/rccm.200612-1792OC
63
SuZJiangYLiCZhongRWangRWenYet al. Relationship between lung function and lung cancer risk: A pooled analysis of cohorts plus mendelian randomization study. J Cancer Res Clin Oncol (2021) 147(10):2837–49. doi: 10.1007/s00432-021-03619-1
64
KangHSParkYMKoSHKimSHKimSYKimCHet al. Impaired lung function and lung cancer incidence: A nationwide population-based cohort study. J Clin Med (2022) 11(4):1077. doi: 10.3390/jcm11041077
65
FryJSHamlingJSLeePN. Systematic review with meta-analysis of the epidemiological evidence relating FEV1 decline to lung cancer risk. BMC Cancer (2012) 12(1):498. doi: 10.1186/1471-2407-12-498
66
LittmanAJThornquistMDWhiteEJacksonLAGoodmanGEVaughanTL. Prior lung disease and risk of lung cancer in a large prospective study. Cancer Causes Control (2004) 15(8):819–27. doi: 10.1023/B:CACO.0000043432.71626.45
67
JemalAMillerKDMaJSiegelRLFedewaSAIslamiFet al. Higher lung cancer incidence in young women than young men in the united states. N Engl J Med (2018) 378(21):1999–2009. doi: 10.1056/NEJMoa1715907
68
MuLLiuLNiuRZhaoBShiJLiYet al. Indoor air pollution and risk of lung cancer among Chinese female non-smokers. Cancer Causes Control (2013) 24(3):439–50. doi: 10.1007/s10552-012-0130-8
69
HouWHuSLiCMaHWangQMengGet al. Cigarette smoke induced lung barrier dysfunction, EMT, and tissue remodeling: A possible link between COPD and lung cancer. BioMed Res Int (2019) 2019:2025636. doi: 10.1155/2019/2025636
70
ZhaiRYuXWeiYSuLChristianiDC. Smoking and smoking cessation in relation to the development of co-existing non-small cell lung cancer with chronic obstructive pulmonary disease. Int J Cancer (2014) 134(4):961–70. doi: 10.1002/ijc.28414
71
BernardoIBozinovskiSVlahosR. Targeting oxidant dependent mechanisms for the treatment of COPD and its comorbidities. Pharmacol Ther (2015) 155:60–79. doi: 10.1016/j.pharmthera.2015.08.005
72
HoughtonAM. Mechanistic links between COPD and lung cancer. Nat Rev Cancer (2013) 13(4):233–45. doi: 10.1038/nrc3477
73
Ziółkowska-SuchanekIMosorMGabryelPGrabickiMŻurawekMFichnaMet al. Susceptibility loci in lung cancer and COPD: Association of IREB2 and FAM13A with pulmonary diseases. Sci Rep (2015) 5(1):13502. doi: 10.1038/srep13502
74
JiangDWangYLiuMSiQWangTPeiLet al. A panel of autoantibodies against tumor-associated antigens in the early immunodiagnosis of lung cancer. Immunobiology (2020) 225(1):151848. doi: 10.1016/j.imbio.2019.09.007
75
SandriBJMasvidalLMurieCBartishMAvdulovSHigginsLet al. Distinct Cancer-Promoting stromal gene expression depending on lung function. Am J Respir Crit Care Med (2019) 200(3):348–358. doi: 10.1164/rccm.2018010080OC
76
KraenMFrantzSNihlénUEngströmGLöfdahlCGWollmerPet al. Matrix metalloproteinases in COPD and atherosclerosis with emphasis on the effects of smoking. PloS One (2019) 14(2):e0211987. doi: 10.1371/journal.pone.0211987
77
HoughtonAM. Common mechanisms linking chronic obstructive pulmonary disease and lung cancer. Ann Am Thorac Soc (2018) 15(Suppl 4):S273S277. doi: 10.1513/AnnalsATS.201808537MG
78
De la GarzaMMCumpianAMDaliriSCastro-PandoSUmerMGongLet al. COPD-type lung inflammation promotes K-ras mutant lung cancer through epithelial HIF-1α mediated tumor angiogenesis and proliferation. Oncotarget (2018) 9(68):32972–83. doi: 10.18632/oncotarget.26030
Summary
Keywords
chronic obstructive pulmonary disease, lung cancer, prevalence, meta-analysis, systematic review
Citation
Zhao G, Li X, Lei S, Zhao H, Zhang H and Li J (2022) Prevalence of lung cancer in chronic obstructive pulmonary disease: A systematic review and meta-analysis. Front. Oncol. 12:947981. doi: 10.3389/fonc.2022.947981
Received
19 May 2022
Accepted
11 August 2022
Published
16 September 2022
Volume
12 - 2022
Edited by
Dana Kristjansson, Norwegian Institute of Public Health (NIPH), Norway
Reviewed by
Peijun Li, Shanghai University of Sport, China; Elaheh Ainy, Shahid Beheshti University of Medical Sciences, Iran
Updates
Copyright
© 2022 Zhao, Li, Lei, Zhao, Zhang and Li.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jiansheng Li, li_js8@163.com
This article was submitted to Cancer Epidemiology and Prevention, a section of the journal Frontiers in Oncology
Disclaimer
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