Literature DB >> 30373585

Effect of COPD on symptoms, quality of life and prognosis in patients with advanced non-small cell lung cancer.

Young-Soo Yi1, Woo Ho Ban2, Kyeong-Yae Sohng3.   

Abstract

BACKGROUND: Many studies have reported the prevalence of chronic obstructive pulmonary disease (COPD) and its effects and prognosis in patients with lung cancer, but few have considered quality of life and survival of patients with lung cancer according to severity of airway obstruction. This study investigated the presence of COPD and the severity of airway obstruction in patients with non-small cell lung cancer (NSCLC), and analyzed how these factors affected symptoms, quality of life, and prognosis.
METHODS: We retrospectively reviewed the prospective lung cancer database of the Catholic Medical Centers at the Catholic University of Korea from 2014 to 2017. We enrolled patients with advanced NSCLC and evaluated quality of life using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C30. We also estimated pulmonary function and analyzed survival data.
RESULTS: Of the 337 patients with advanced NSCLC, 170 (50.5%) had COPD and 167 (49.5%) did not. Significant differences were observed in symptoms between the two groups. The COPD group complained of more symptoms, such as cough, sputum, and dyspnea, than those in the non-COPD group. The distribution according to the severity of obstruction in the COPD group was as follows: Grade 1 (FEV1 ≥ 80%) 35 patients (20.6%), Grade 2 (50% ≤ FEV1 < 80%) 103 patients (60.6%), Grade 3 (30% ≤ FEV1 < 50%) 24 patients (14.1%), and Grade 4 (FEV1 < 30%) 8 patients (4.7%). The presence of COPD did not affect overall quality of life in patients with NSCLC, but as the airway obstruction increased, physical function decreased, and fatigue and dyspnea were more frequent. The overall median survival of the COPD group was shorter than that of the non-COPD group (median survival, 224 vs. 339 days, p = 0.035).
CONCLUSIONS: In this study, a high prevalence of COPD was found among patients with advanced NSCLC, and COPD patients complained about various symptoms and had diminished quality of life in several sectors. Therefore, it is necessary to actively evaluate quality of life, lung function, and symptoms in patients with lung cancer and reflect them in the treatment and management plans of these patients.

Entities:  

Keywords:  Chronic obstructive; Lung neoplasms; Pulmonary disease; Quality of life

Mesh:

Year:  2018        PMID: 30373585      PMCID: PMC6206922          DOI: 10.1186/s12885-018-4976-3

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


Background

Lung cancer is a disease with high incidence and mortality rates worldwide. The American Cancer Society estimated that in the United States, 162,510 people died of lung cancer in 2016 [1]. In Europe, the socioeconomic costs due to lung cancer amounted to 18.8 billion Euros in 2009, which is about 15% of the total cost of cancer in the region [2]. Thus, lung cancer is considered to be one of the most economically burdensome diseases at the national level. At the individual level, lung cancer often causes not only general symptoms, such as pain and fatigue but also various respiratory symptoms, including cough, sputum, and dyspnea. Additionally, as lung cancer patients primarily have extensive-stage disease at the time of diagnosis, they tend to have significant mental difficulties, such as fear of death, depression, and anxiety [3]. The main cause of lung cancer is smoking [4], and chronic obstructive pulmonary disease (COPD) is typically caused by smoking. Therefore, COPD and lung cancer have a close relationship in terms of prevalence and symptoms reported by patients. COPD is an independent risk factor for lung cancer, and smokers with an obstruction have more than five times the incidence of lung cancer than those with normal lung function [5]. Cough, sputum, and dyspnea are the most common respiratory symptoms experienced by patients with COPD, and these symptoms can reduce quality of life. Similarly, various symptoms, including dyspnea and quality of life, affect the prognosis of patients with lung cancer. In particular, respiratory symptoms and changes in pulmonary function, which serve as diagnostic criteria for COPD, have a very negative impact on the prognosis of patients with lung cancer [6-8]. Many studies have reported the prevalence of COPD and its effects and prognosis in patients with lung cancer, but few have considered quality of life and survival of patients with lung cancer according to severity of airway obstruction. Therefore, this study examined the presence of COPD in patients with advanced non-small cell lung cancer (NSCLC), investigated differences in quality of life and symptoms according to severity of airway obstruction, and analyzed how these factors affect prognosis.

Methods

Study population and data collection

A retrospective study of patients enrolled in the Catholic Medical Centers (CMC) lung cancer registry run by Catholic University (CMC lung cancer registry) was conducted from October 2014. The CMC lung cancer registry was developed to investigate the relationship between initial clinical parameters and outcomes through the serial observation in patients with lung cancer. The initial symptoms and quality of life through questionnaire survey, clinical characteristics, smoking history, comorbidities, pulmonary function tests, histological and cytological diagnosis, staging and treatment outcomes were collected prospectively and systematically from the time of diagnosis to death. Among the patients who were histologically and cytologically diagnosed with NSCLC, 337 with stage-3 and stage-4 NSCLC were selected for the study based on the Seventh Edition of the American Thoracic Society Tumor Node Metastasis classification [9-12]. Quality of life was evaluated using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ)-C30 (Korean version) [13-15]. The EORTC QLQ-C30 was found to be a reliable and valid measure of reported health-related quality of life [16]. The validity and reliability of the EORTC QLQ-C30 (Korean version) has been reported in previous study (Cronbach’s α > 0.7) [17]. The EORTC QLQ-C30 is composed of multi-item and single scales: five functional scales (physical, role, emotional, cognitive and social), three symptom scales (fatigue, nausea & vomiting and pain), six single items (dyspnea, insomnia, appetite loss, constipation, diarrhea and difficulties) and a global health status/QOL scale [15]. All scales and items are linearly transformed to 0–100 scale [18]. For the 5 functional scales and the global quality of life scale, a higher score represents a better level of functioning. For the symptom scales and items, a high score corresponds to a higher level of symptom [18]. The diagnosis of COPD was made when the ratio of forced expiratory volume in 1 s (FEV1) to forced vital capacity (FVC) was < 70% based on the 2014 GOLD (Global Initiative for Chronic Obstructive Lung Disease) guidelines. The distribution of patients with COPD according to severity of the obstruction was classified into Grade 1 (FEV1 ≥ 80%), Grade 2 (50% ≤ FEV1 < 80%), Grade 3 (30% ≤ FEV1 < 50%), and Grade 4 (FEV1 < 30%) [19, 20]. Data regarding patients’ age, sex, smoking history, histological type and the Eastern Cooperative Oncology Group Performance Status Scale (ECOG PS) were also obtained from the registry. The ECOG PS is widely used to assess the functioning of cancer patients specifically for the purposes of oncological decision making, as well as prediction of patients’ prognosis. It provides a five-point scale which incorporates elements such as ambulatory status and need for care [21]. A survival analysis was conducted based on the last date of tracking observations (June 30, 2017). This study was approved by the Clinical Research Ethics Committee of the Catholic Medical Center (XC140IMI0070).

Statistical analysis

Descriptive statistics were used to summarize patients’ demographic characteristics, symptoms and QLQ score. Data were analyzed for statistical significance using the Pearson’s chi-square test or unpaired t-test for patient’s characteristics and QLQ scores between the COPD group and non COPD group, the Kruskal-Wallis test for QLQ scores between FEV1 groups. Additionally, Cochran –Mantel -Haenszel statistics were used to test for associations, and generalized linear models were used to test for a linear trend. Survival curves according to COPD and non- COPD were drawn using the Kaplan- Meier Method, and compared by the log-rank test. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated with the Cox proportional hazards model to identify independent prognostic factors. The factors significantly associated with patient survival in univariate analysis (p < 0.05) were included in multivariate analysis. All analyses were performed with the use of SAS (version 9.4; SAS Institute, Cary, NC, USA) or R (version 3.4.1; R Computing, Vienna, Austria). A p -value < 0.05 was considered significant.

Results

Clinical characteristics

A total of 337 patients were enrolled in this study and were classified into two groups according to the presence of COPD. The general and clinical characteristics of the subjects are as follows (Table 1). Among the subjects, the number of patients with COPD (FEV1/FVC < 70) was 170 (50.5%), and the number without (FEV1/FVC ≥ 70) was 167 (49.5%). The average age of the COPD group was 70.4 years, and that of the non-COPD group was 63.2; the distribution of patients aged >65 years was significantly higher in the COPD group than that in the non-COPD group. A total of 154 males (90.6%) were in the COPD group, and 108 (64.7%) were in the non-COPD group, indicating significantly larger number compared to that of females. The distribution of smokers was significantly higher in the COPD group [152 (89.4%)], and [104 (62.3%)] than that in the non-COPD group. The histology results were significant: the COPD group had a higher proportion of squamous-cell carcinoma, whereas the proportion of adenocarcinoma was higher in the non-COPD group. In terms of comorbid conditions, the number of patients with one or more comorbidities was 103 (60.6%) in the COPD group, and 75 (44.9%) in the non-COPD group. In particular, the COPD group had higher proportions of tuberculosis [COPD vs. non-COPD; 38 (22.4%) vs. 16 (9.6%)], and hypertension [COPD vs. non-COPD; 48 (28.2%) vs. 30 (18.0%)]. The proportions of old age, smoking history, comorbidities, and squamous cell type were significantly higher in the COPD group than in the non-COPD group. The distribution of patients with COPD according to severity of the airway obstruction was Grade 1 (FEV1 ≥ 80%) 35 patients (20.6%); Grade 2 (50% ≤ FEV1 < 80%) 103 patients (60.6%); Grade 3 (30% ≤ FEV1 < 50%) 24 patients (14.1%); and Grade 4 (FEV1 < 30%) 8 patients (4.7%).
Table 1

Patient characteristics

VariablesTotal(n = 337)COPD(n = 170)Non-COPD(n = 167)p value
Age(years)
 Mean(±SD)66.8(±10.9)70.4(±8.9)63.2(±11.6)5.550E-10
  ≥ 65195(57.9)120(70.6)75(44.9)1.814E-06
  < 65142(42.1)50(29.4)92(55.1)
Gender
 Male262(77.7)154(90.6)108(64.7)1.072E-08
 Female75(22.3)16(9.4)59(35.3)
History of smoking
 Never smoker81(24.0)18(10.6)63(37.7)5.580E-09
 Former or current smoker256 (76.0)152(89.4)104(62.3)
Cancer stage
 III123(36.5)70(41.2)53(31.7)0.090
 IV214(63.5)100(58.8)114(68.3)
Histology
 Adenocarcinoma179(53.1)60(35.3)119(71.3)1.872E-09
 Squamous-cell carcinoma132(39.2)94(55.3)38(22.8)
 Large cell carcinoma1(0.3)1(0.6)0(0.0)
 Adenosquamous carcinoma2(0.6)2(1.2)0(0.0)
 Other23(6.8)13(7.7)10(6.0)
Comorbid conditions
 No159(47.2)67(39.4)92(55.1)0.005
 Any comorbid condition178(52.8)103(60.6)75(44.9)
Comorbidities
 Tuberculosis (Active + old)54(16.0)38(22.4)16(9.6)0.002
 Pneumoconiosis5(1.5)5(2.9)0(0.0)0.061
 Heart disease19(5.6)11(6.5)8(4.8)0.638
 Diabetes mellitus60(17.8)33 (19.4)27 (16.2)0.478
 Hypertension78(23.2)48(28.2)30(18.0)0.028
 Others76(22.6)45(26.5)31(18.6)0.049
FEV1 level
 GOLD grade1129(38.3)35(20.6)94(56.3)1.200E-11
 GOLD grade2171(50.7)103(60.6)68(40.7)
 GOLD grade328(8.3)24(14.1)4(2.4)
 GOLD grade49(2.7)8(4.7)1(0.6)

Data are mean (±SD) and n (%). COPD chronic obstructive pulmonary disease, FEV forced expiratory volume in 1 s, GOLD Global Initiative for Chronic Obstructive Lung Disease

For continuous variables, Student’s t test was used; for univariate analysis, the chi-square test was used

Patient characteristics Data are mean (±SD) and n (%). COPD chronic obstructive pulmonary disease, FEV forced expiratory volume in 1 s, GOLD Global Initiative for Chronic Obstructive Lung Disease For continuous variables, Student’s t test was used; for univariate analysis, the chi-square test was used

Symptoms of patients between the groups with and without COPD

Table 2 lists the differences in symptoms between COPD and non-COPD patients. Cough was observed in 117 patients with COPD (68.8%) and 95 patients with non-COPD (56.9%); sputum in 99 patients with COPD (58.2%) and 74 patients with non-COPD (44.3%); dyspnea in 60 patients with COPD (35.3%) and 33 patients with non-COPD (19.8%). As shown in Table 2, cough, sputum, and dyspnea were more common in patients with COPD than those without. Additionally, the number of symptoms was significantly greater in patients with COPD than in those without at the time of the lung cancer diagnosis(p < .0001).
Table 2

Symptoms of patients with and without chronic obstructive pulmonary disease (COPD)

VariablesTotal(n = 337)COPD(n = 170)Non-COPD(n = 167)p value
Respiratory
 Cough212 (62.9)117 (68.8)95 (56.9)0.025
 Sputum173 (51.3)99 (58.2)74 (44.3)0.012
 Chest pain126 (37.4)70 (41.2)56 (33.5)0.177
 Hoarseness67 (19.9)39 (22.9)28 (16.8)0.173
 Wheezing or stridor88 (26.1)49 (28.8)39 (23.4)0.267
 Dyspnea93 (27.6)60 (35.3)33 (19.8)0.002
 Hemoptysis24 (7.1)17 (10.0)7 (4.2)0.055
General
 Fatigue144 (42.7)74 (43.5)70 (41.9)0.826
 Weight loss121 (35.9)64 (37.7)57 (34.1)0.570
 Pain80 (23.7)38 (22.4)42 (25.2)0.609
 General weakness112 (33.2)60 (35.3)52 (31.1)0.421
 Poor oral intake113 (33.5)63 (37.1)50 (29.9)0.204
 Fever18 (5.3)8 (4.7)10 (6.0)0.636
Number of symptoms
 Mean(±SD)0.8(±0.7)1.0(±0.7)0.5(±0.6)1.332E-13
 055 (16.3)17 (10.0)38 (22.8)0.004
 160 (17.8)29 (17.1)31 (18.56)
  ≥ 2222 (65.9)124 (72.9)98 (58.7)

Data are mean (±SD) and n (%). COPD, chronic obstructive pulmonary disease

For continuous variables, Student’s t test was used; for univariate analysis, the chi-square test was used

Symptoms of patients with and without chronic obstructive pulmonary disease (COPD) Data are mean (±SD) and n (%). COPD, chronic obstructive pulmonary disease For continuous variables, Student’s t test was used; for univariate analysis, the chi-square test was used

EORTC-QLQ scores between the groups with and without COPD

The EORTC QLQ-C30 scale was analyzed according to the presence of COPD in patients with advanced NSCLC (Table 3). Overall quality of life tended to be lower in patients with COPD than in patients without (p > 0.05). However, cognitive and social function scales were significantly lower in the COPD group, and the severity of dyspnea and appetite loss was significantly higher on the symptom scale.
Table 3

European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ)-C30 (Korean version) scores between patients with and without chronic obstructive pulmonary disease (COPD)

VariablesCOPD(n = 170)Non-COPD(n = 167)p value
Global health status/ QoL48.0 ± 23.751.1 ± 23.20.225
Functional scales
 Physical functioning74.8 ± 23.278.8 ± 21.80.099
 Role functioning74.7 ± 28.380.4 ± 25.80.053
 Emotional functioning76.1 ± 25.078.7 ± 19.50.295
 Cognitive functioning80.3 ± 24.085.1 ± 17.60.036
 Social functioning68.6 ± 27.175.4 ± 23.30.014
Symptom scales/items
 Fatigue34.1 ± 24.330.0 ± 24.40.128
 Nausea and vomiting8.1 ± 17.18.1 ± 16.10.977
 Pain21.2 ± 27.921.5 ± 25.50.923
 Dyspnea33.3 ± 32.223.2 ± 30.30.003
 Insomnia28.4 ± 30.523.2 ± 29.70.108
 Appetite loss30.8 ± 34.024.0 ± 28.80.048
 Constipation17.5 ± 28.620.0 ± 27.10.410
Diarrhea7.5 ± 19.18.2 ± 17.00.710
Financial difficulties32.5 ± 31.029.5 ± 30.50.370

Data are mean ± SD. COPD chronic obstructive pulmonary disease, QoL quality of life;

Student’s t test was used

European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ)-C30 (Korean version) scores between patients with and without chronic obstructive pulmonary disease (COPD) Data are mean ± SD. COPD chronic obstructive pulmonary disease, QoL quality of life; Student’s t test was used

EORTC-QLQ scores of patients with COPD according to airway obstruction

Table 4 lists the EORTC QLQ-C30 results according to severity of airway obstruction in the COPD group among patients with advanced NSCLC. The overall quality of life in patients with COPD was significantly lower as the severity of obstruction increased. In particular, a significant difference in the decline of physical functioning was observed between the groups. The severity of fatigue and dyspnea increased significantly with severity of airway obstruction.
Table 4

European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ)-C30 scores of patients with chronic obstructive pulmonary disease (COPD) according to airway obstruction

VariablesGOLD grade 1(n = 35)GOLD grade 2(n = 103)GOLD grade 3(n = 24)GOLD grade 4(n = 8)p value
Global health status/QoL50.5 ± 26.350.2 ± 23.041.0 ± 19.030.2 ± 26.70.049
Functional scales
 Physical functioning83.4 ± 17.175.4 ± 22.766.7 ± 24.453.3 ± 30.40.004
 Role functioning79.5 ± 31.375.9 ± 24.269.4 ± 33.954.2 ± 39.60.132
 Emotional functioning75.0 ± 26.276.4 ± 25.078.5 ± 21.870.8 ± 32.10.970
 Cognitive functioning87.1 ± 21.479.0 ± 25.177.8 ± 22.375.0 ± 21.80.123
 Social functioning72.4 ± 28.968.1 ± 26.468.1 ± 26.460.4 ± 33.30.646
Symptom scales/items
 Fatigue25.1 ± 24.634.5 ± 22.840.7 ± 24.747.2 ± 31.30.011
 Nausea and vomiting9.5 ± 23.39.2 ± 15.81.4 ± 4.78.3 ± 23.60.059
 Pain18.6 ± 30.222.0 ± 26.820.1 ± 26.525.0 ± 38.80.622
 Dyspnea20.0 ± 24.533.7 ± 31.844.4 ± 36.354.2 ± 35.40.010
 Insomnia24.8 ± 31.727.2 ± 29.436.1 ± 31.037.5 ± 37.50.352
 Appetite loss27.6 ± 36.630.4 ± 32.031.9 ± 36.145.8 ± 43.40.621
 Constipation14.3 ± 24.616.2 ± 26.819.4 ± 31.041.7 ± 49.60.435
 Diarrhea7.6 ± 18.27.8 ± 20.56.9 ± 17.04.2 ± 11.80.988
 Financial difficulties25.7 ± 31.432.7 ± 29.940.3 ± 34.037.5 ± 33.00.320

Data are mean (±SD). GOLD Global Initiative for Chronic Obstructive Lung Disease, QoL quality of life

ANOVA test was used

European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ)-C30 scores of patients with chronic obstructive pulmonary disease (COPD) according to airway obstruction Data are mean (±SD). GOLD Global Initiative for Chronic Obstructive Lung Disease, QoL quality of life ANOVA test was used

Effects of COPD on survival in NSCLC

The results of the analysis of whether the presence of COPD affected survival of patients with advanced NSCLC are as follows (Fig. 1). The overall median survival time for all patients was 111 days. The overall median survival of the COPD group was shorter than that of the non-COPD group (median survival, 224 vs. 339 days, p = 0.035). A univariate analysis indicated that the presence of COPD and stage, sex, and FEV1 level had significant effects on patient survival. However, the multivariate analysis revealed that advanced stage (HR, 1.87; 95% CI: 1.26–2.77) and male sex (HR, 2.32; 95% CI: 1.45–3.72) were significant poor prognostic factors affecting survival in patients with NSCLC (Table 5).
Fig. 1

Kaplan-Meier survival curve of patients according to chronic obstructive pulmonary disease (COPD)

Table 5

Survival analysis of patients with chronic obstructive pulmonary disease (COPD) according to airway obstruction

VariablesUnivariate analysisMultivariate analysis
HR (95% CI)p-valueHR (95% CI)p-value
COPD
 (−)11
 (+)1.42 (1.02–1.98)0.0360.94 (0.64–1.38)0.763
Stage
 Stage 311
 Stage 41.68 (1.14–2.48)0.0092.03 (1.36–3.01)0.001
Age
  < 6511
  ≥ 651.76 (1.22–2.53)0.0031.87 (1.28–2.73)0.001
Sex
 Female11
 Male2.00 (1.28–3.12)0.0022.26 (1.41–3.62)0.001
BMI
  < 231
  ≥ 230.78 (0.56–1.09)0.143
Comorbidity
 No1
 Yes1.39 (0.99–1.93)0.054
History of smoking
 Never smoker1
 Former or current smoker1.51 (0.99–2.29)0.056
Symptom
 No1
 Yes1.55 (0.97–2.49)0.070
FEV1
  ≥ 6011
  < 601.46 (1.02–2.09)0.0411.42 (0.96–2.11)0.084

COPD chronic obstructive pulmonary disease, BMI body mass index, FEV forced expiratory volume in 1 s, HR hazard ratio, CI confidence interval

The Cox proportional hazards modeling technique was used

Kaplan-Meier survival curve of patients according to chronic obstructive pulmonary disease (COPD) Survival analysis of patients with chronic obstructive pulmonary disease (COPD) according to airway obstruction COPD chronic obstructive pulmonary disease, BMI body mass index, FEV forced expiratory volume in 1 s, HR hazard ratio, CI confidence interval The Cox proportional hazards modeling technique was used

Discussion

Smoking is the major cause of lung cancer and is also known to cause various other diseases, including diabetes and cerebral cardiovascular diseases. In particular, smoking is closely related to COPD. This study investigated quality of life and symptoms of COPD and analyzed how COPD affected prognosis in patients with advanced NSCLC. The results confirmed that patients with advanced NSCLC and COPD had more symptoms and reduced quality of life in several aspects, but these did not affect the survival rate in the patients. In this study, the prevalence of COPD was 50.5% among all patients with advanced NSCLC. Several studies have focused on the frequency of COPD in lung cancer: Ytterstad et al. reported that 39% of patients with lung cancer have COPD [22]. In the present study, the prevalence rate of COPD in patients with NSCLC was relatively higher than that previous study, possibly because it excluded patients with early lung cancer who have a shorter smoking history and comparatively good lung function. A comparison of the clinical characteristics between the COPD and non-COPD groups revealed that more patients in the COPD group were advanced in age, had a smoking history, and were diagnosed with squamous cell type, which is consistent with results of previous studies [23, 24]. A large number of comorbidities also occurred in the COPD group. Therefore, it can be inferred that patients with NSCLC and COPD had more respiratory symptoms and worse prognosis. Respiratory symptoms such as cough, sputum, and dyspnea were more frequent in patients with NSCLC and COPD than in those without, which supports the hypothesis and is consistent with the results of previous studies [25]. Declines in lung function and the severity of symptoms in patients with lung cancer are known to have significant effects on quality of life [26], and in particular, patients who suffer from dyspnea are known to be at higher risk of death and poor prognosis than those without dyspnea [6, 8]. Therefore, in this study, the quality of life in patients with advanced NSCLC was analyzed using the EORTC QLQ-C30 scale. No significant difference was found in the overall quality of life between the COPD and non-COPD groups. However, the COPD group had significantly reduced quality of life in certain aspects, such as the functional scale, cognitive and social functions, and some symptom scales, and the subgroup analysis results confirmed that overall quality of life decreased in the COPD group as the severity of airway obstruction increased. In particular, the difference was remarkable on the symptom scale related to dyspnea as well as the degree of decrease in social functioning. These results indicated that the severity of symptoms, including dyspnea, can affect various aspects of quality of life among patients with advanced NSCLC. Therefore, it is useful not only to collect baseline data regarding patient cancer status, but also to accurately evaluate patient symptoms, functional factors, presence of COPD, and severity of airway obstruction to present treatment directions for patient with lung cancer. Counselling for smoking cessation, prescription inhalers, pulmonary rehabilitation and other tailored management can improve functional status and relieve symptom burden of individual patients. Special attention by medical personnel is required. This study also analyzed how COPD affected survival rates among patients with advanced NSCLC. Survival time was significantly shorter in the COPD group than that in the non-COPD group, which was a significant result in the univariate analysis, but not in the multivariate analysis corrected for the effects of other variables. This finding is similar to that of a previous study, which reported that the presence of COPD has no significant effect on prognosis for lung cancer patients [27]. This result suggests that it is difficult to determine the prognosis for patients with advanced NSCLC and COPD based on this single variable, because patients with COPD are more likely to have advanced stage, poor performance, and various complications during the treatment process. This study had the following limitations. First, it was difficult to generalize the results because of the small sample size. However, the subjects were limited to patients with stage-3 and stage-4 NSCLC; those with stage-1, or stage-2 NSCLC were excluded, which had the effect of excluding other factors, such as curative surgery, that affects survival of patients. Therefore the subjects became homogeneous, which was an advantage, and the findings are highly relevant because they reveal how COPD affects symptoms, quality of life, and prognosis, even in patients with advanced lung cancer, unlike previous studies of long-term survivors after surgery [6]. Second, because the study had a retrospective design, its statistical power is rather weak. However, the questionnaire survey regarding symptoms and quality of life was done at the time of diagnosis, and objective lung functions were faithfully reflected, so the findings of this study are considered to be highly valuable for research. Third, the symptom questionnaire, pulmonary function from enrolled patients were recorded prospectively at the time of lung cancer diagnosis. Therefore, it was difficult to clearly identify the order of two diseases. However, COPD and lung cancer have a common etiology of smoking. And there are many opinions that COPD could be a driving factor in lung cancer by chronic systemic inflammation and DNA damage in time sequence [28]. We can suggest that patients with lung cancer and COPD at baseline develop more symptoms and lower quality of life than without COPD.

Conclusions

In this study, patients with advanced NSCLC had a high prevalence rate of COPD, and patients with COPD had more symptoms, such as cough, sputum, and dyspnea, than those without COPD. Quality of life was confirmed to decrease in several aspects in patients with COPD, and overall quality of life decreased as the severity of airway obstruction increased in this group. However, no significant differences in prognosis were observed according to the presence of COPD in patients with advanced NSCLC. Based on these results, an active assessment needs to be conducted to evaluate the quality of life and symptoms in patients with lung cancer and investigate the severity of airway obstruction through pulmonary function testing at the time of the initial diagnosis. Furthermore, multilateral efforts are needed to improve the quality of life for patients with lung cancer.
  27 in total

1.  Global Strategy for the Diagnosis, Management and Prevention of COPD: 2003 update.

Authors:  L M Fabbri; S S Hurd
Journal:  Eur Respir J       Date:  2003-07       Impact factor: 16.671

2.  [Cigarette smoking, alcohol consumption, tuberculosis and risk of lung cancer: the Korean multi-center cancer cohort study].

Authors:  Jisuk Bae; Jin Gwack; Sue Kyung Park; Hai-Rim Shin; Soung-Hoon Chang; Keun-Young Yoo
Journal:  J Prev Med Public Health       Date:  2007-07

3.  Adult cancer survivors: how are they faring?

Authors:  Frank Baker; Maxine Denniston; Tenbroeck Smith; Michele M West
Journal:  Cancer       Date:  2005-12-01       Impact factor: 6.860

4.  Health-related quality of life in patients surviving non-small cell lung cancer.

Authors:  Janneke P C Grutters; Manuela A Joore; Erwin M Wiegman; Johannes A Langendijk; Dirk de Ruysscher; Monique Hochstenbag; Anita Botterweck; Philippe Lambin; Madelon Pijls-Johannesma
Journal:  Thorax       Date:  2010-10       Impact factor: 9.139

Review 5.  The 2011 revision of the global strategy for the diagnosis, management and prevention of COPD (GOLD)--why and what?

Authors:  Jørgen Vestbo; Suzanne S Hurd; Roberto Rodriguez-Roisin
Journal:  Clin Respir J       Date:  2012-10       Impact factor: 2.570

6.  Economic burden of cancer across the European Union: a population-based cost analysis.

Authors:  Ramon Luengo-Fernandez; Jose Leal; Alastair Gray; Richard Sullivan
Journal:  Lancet Oncol       Date:  2013-10-14       Impact factor: 41.316

7.  Quality of life assessment as a predictor of survival in non-small cell lung cancer.

Authors:  Donald P Braun; Digant Gupta; Edgar D Staren
Journal:  BMC Cancer       Date:  2011-08-15       Impact factor: 4.430

8.  Prognostic value of quality of life score in disease-free survivors of surgically-treated lung cancer.

Authors:  Young Ho Yun; Young Ae Kim; Jin Ah Sim; Ae Sun Shin; Yoon Jung Chang; Jongmog Lee; Moon Soo Kim; Young Mog Shim; Jae Lll Zo
Journal:  BMC Cancer       Date:  2016-07-20       Impact factor: 4.430

9.  Dyspnea as a Prognostic Factor in Patients with Non-Small Cell Lung Cancer.

Authors:  Woo Ho Ban; Jong Min Lee; Jick Hwan Ha; Chang Dong Yeo; Hyeon Hui Kang; Chin Kook Rhee; Hwa Sik Moon; Sang Haak Lee
Journal:  Yonsei Med J       Date:  2016-09       Impact factor: 2.759

Review 10.  The relationship between COPD and lung cancer.

Authors:  A L Durham; I M Adcock
Journal:  Lung Cancer       Date:  2015-08-29       Impact factor: 5.705

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  12 in total

1.  Does the Combined Use of Aspirin and Immunotherapy Result in Better Outcomes in Non-Small Cell Lung Cancer Than Immunotherapy Alone?

Authors:  Mina Aiad; Ali Tahir; Kayla Fresco; Zarian Prenatt; Karla Ramos-Feliciano; Jasmit Walia; Jill Stoltzfus; Heidar J Albandar
Journal:  Cureus       Date:  2022-06-13

2.  Description of a Lung Cancer Hotspot: Disparities in Lung Cancer Histology, Incidence, and Survival in Kentucky and Appalachian Kentucky.

Authors:  Christine F Brainson; Bin Huang; Quan Chen; Laurie E McLouth; Chunyan He; Zhonglin Hao; Susanne M Arnold; Ralph G Zinner; Timothy W Mullett; Therese J Bocklage; David K Orren; John L Villano; Eric B Durbin
Journal:  Clin Lung Cancer       Date:  2021-03-26       Impact factor: 4.785

3.  Clinical impact of walking capacity on the risk of disability and hospitalizations among elderly patients with advanced lung cancer.

Authors:  Taro Okayama; Tateaki Naito; Yusuke Yonenaga; Takuya Ohashi; Midori Kitagawa; Noriko Mitsuhashi; Takeshi Ishi; Hiroshi Fuseya; Takashi Aoyama; Akifumi Notsu; Keita Mori; Nobuaki Mamesaya; Takahisa Kawamura; Haruki Kobayashi; Shota Omori; Kazushige Wakuda; Akira Ono; Hirotsugu Kenmotsu; Haruyasu Murakami; Akira Tanuma; Toshiaki Takahashi
Journal:  Support Care Cancer       Date:  2021-01-03       Impact factor: 3.359

4.  Impact of smoking amount on clinicopathological features and survival in non-small cell lung cancer.

Authors:  Woo Ho Ban; Chang Dong Yeo; Solji Han; Hye Seon Kang; Chan Kwon Park; Ju Sang Kim; Jin Woo Kim; Seung Joon Kim; Sang Haak Lee; Sung Kyoung Kim
Journal:  BMC Cancer       Date:  2020-09-03       Impact factor: 4.430

5.  Identification of Survival-Associated Gene Signature in Lung Cancer Coexisting With COPD.

Authors:  Ti-Wei Miao; Long-Yi Du; Wei Xiao; Bing Mao; Yan Wang; Juan-Juan Fu
Journal:  Front Oncol       Date:  2021-03-09       Impact factor: 6.244

6.  High expression of SPP1 in patients with chronic obstructive pulmonary disease (COPD) is correlated with increased risk of lung cancer.

Authors:  Ti-Wei Miao; Wei Xiao; Long-Yi Du; Bing Mao; Wei Huang; Xue-Mei Chen; Cong Li; Yan Wang; Juan-Juan Fu
Journal:  FEBS Open Bio       Date:  2021-03-07       Impact factor: 2.693

7.  Examination of individual and multiple comorbid conditions and health-related quality of life in older cancer survivors.

Authors:  Elizabeth J Siembida; Ashley Wilder Smith; Arnold L Potosky; Kristi D Graves; Roxanne E Jensen
Journal:  Qual Life Res       Date:  2021-01-14       Impact factor: 3.440

8.  The prognosis of non-small cell lung cancer combined with chronic obstructive pulmonary disease: A systematic review and meta-analysis.

Authors:  Ke Wu; Jing Wang; Limin Zhao; Pei Wang; Qi Duan
Journal:  Clin Respir J       Date:  2020-02-03       Impact factor: 2.570

9.  Influence of Comorbidities on the Survival of COPD Patients According to Phenotypes.

Authors:  Zichen Ji; Julio Hernández-Vázquez; Irene Milagros Domínguez-Zabaleta; Ziyi Xia; José María Bellón-Cano; Virginia Gallo-González; Ismael Ali-García; Carmen Matesanz-Ruiz; Ana López-de-Andrés; Rodrigo Jiménez-García; María Jesús Buendía-García; Ángela Gómez-Sacristán; Walther Iván Girón-Matute; Luis Puente-Maestu; Javier de Miguel-Díez
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2020-10-30

10.  Randomized phase III study comparing the first-line chemotherapy regimens in patients with driver mutation-negative advanced non-small cell lung cancer and poor performance status complicated with chronic obstructive pulmonary disease.

Authors:  Guoying Gao; Chengzhi Zhou; Yucheng Huang; Ziying Hong; Pei Yu; Ying Chen; Jiabo Gao; Kening Zhang; Zhanhong Xie; Jiexia Zhang; Shiyue Li; Nagata Masashi; Yinyin Qin
Journal:  Transl Lung Cancer Res       Date:  2021-06
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