Literature DB >> 35761955

Associations Between Morphological Phenotypes of COPD and Clinical Characteristics in Surgically Resected Patients with COPD and Concomitant Lung Cancer.

Yusuke Suzuki1, Yoshiaki Kitaguchi1, Fumika Ueno1, Yunden Droma1, Norihiko Goto1, Takumi Kinjo1, Yosuke Wada1, Masanori Yasuo2, Masayuki Hanaoka1.   

Abstract

Purpose: The associations between morphological phenotypes of COPD based on the chest computed tomography (CT) findings and clinical characteristics in surgically resected patients with COPD and concomitant lung cancer are unclear. The purpose of this study was to clarify the differences in clinical characteristics and prognosis among morphological phenotypes based on the chest CT findings in these patients. Patients and
Methods: We retrospectively reviewed the medical records of 132 patients with COPD and concomitant lung cancer who had undergone pulmonary resection for primary lung cancer. According to the presence of emphysema and bronchial wall thickness on chest CT, patients were classified into three phenotypes: non-emphysema phenotype, emphysema phenotype, or mixed phenotype.
Results: The mixed phenotype was associated with poorer performance status, higher score on the modified British Medical Research Council (mMRC) dyspnea scale, higher residual volume in pulmonary function, and higher proportion of squamous cell carcinoma than the other phenotypes. Univariate and multivariate Cox proportional hazards regression analyses showed that the extent of emphysema on chest CT, presented as a low attenuation area (LAA) score, was an independent determinant that predicted prognosis. In the Kaplan-Meier analysis, the Log rank test showed significant differences in survival between the non-emphysema and mixed phenotypes, and between the emphysema and mixed phenotypes.
Conclusion: The cross-sectional pre-operative LAA score can predict the prognosis in surgically resected patients with COPD and concomitant lung cancer. The COPD phenotype with both emphysema and bronchial wall thickness on chest CT was associated with poorer performance status, greater extent of dyspnea, greater impairment of pulmonary function, and worse prognosis.
© 2022 Suzuki et al.

Entities:  

Keywords:  CT; LAA; emphysema; mortality; prognosis; surgery

Mesh:

Year:  2022        PMID: 35761955      PMCID: PMC9233490          DOI: 10.2147/COPD.S366265

Source DB:  PubMed          Journal:  Int J Chron Obstruct Pulmon Dis        ISSN: 1176-9106


Introduction

There is growing recognition that chronic obstructive pulmonary disease (COPD) may influence lung cancer. Meta-analyses conducted to assess the impact of COPD on the overall survival (OS) of lung cancer patients have suggested that coexisting COPD is related to poor survival and disease-free survival outcomes.1,2 In patients with a newly and pathologically confirmed diagnosis of lung cancer, COPD is significantly associated with decreased OS of lung cancer, and the OS of lung cancer gradually worsens with increased severity of COPD.3 On the other hand, in patients with COPD undergoing lung cancer surgery, the presence of COPD itself does not influence long-term survival, although they are at greater risk of postoperative complications than patients with normal respiratory function.4,5 COPD can be classified into various morphological phenotypes based on the findings of chest computed tomography (CT) according to the presence of emphysema and/or airway wall thickness, and the morphological phenotypes of COPD present different clinical characteristics.6–11 Wang et al revealed an association between the morphological phenotype of COPD and clinical characteristics in patients with COPD and concomitant lung cancer, suggesting that the emphysema-predominant phenotype of COPD, which is detected by a sharp “angle of collapse” in the maximum expiratory flow volume (MEFV) curve, is an independent prognostic risk factor for squamous carcinoma.3 On the other hand, the cross-sectional area of the erector spinae muscles (ESMCSA) obtained from a single-slice axial chest CT image correlates with the clinical parameters of COPD and may be the strongest risk factor for all-cause mortality in patients with COPD. In addition, the accelerated decline in ESMCSA is related to frequent exacerbations and poor prognosis.12,13 However, the associations between morphological phenotypes of COPD based on the chest CT findings and clinical characteristics in surgically resected patients with COPD and concomitant lung cancer are unclear. Information on prognostic determinants and the association between ESMCSA and clinical characteristics in these patients are lacking. In the present study, we sought to elucidate the differences in clinical characteristics including postoperative complications and prognosis among morphological phenotypes based on the chest CT findings in these patients in order to provide additional information for predicting all-cause mortality and considering whether early intensive therapeutic intervention for COPD and limited resection for primary lung cancer should be applied. One benefit of this study is easy applicability to clinical practice for understanding the clinical characteristics of these patients, because our methodology for classification of COPD into three phenotypes according to the CT findings is relatively easy.

Materials and Methods

Subjects and Protocols

This is a single-center retrospective cross-sectional study. We retrospectively reviewed the medical records of 132 patients with COPD and concomitant lung cancer who had undergone pulmonary resection for primary lung cancer at Shinshu University Hospital between April 2003 and October 2016. All patients underwent chest CT and pulmonary function tests before surgery. The date of the surgery was within 30 days of the CT scan and pulmonary function tests. The diagnosis of COPD was based on the patients’ clinical history and symptoms, including dyspnea on exertion and pulmonary function characterized by airflow obstruction (FEV1/FVC<70% after inhalation of short-acting β2-agonists) in accordance with the Global Initiative for Chronic Obstructive Lung Disease (GOLD) report.15 All patients had a smoking history of more than 10 pack-years. Patients with emphysema and concomitant interstitial lung disease, which was termed combined pulmonary fibrosis and emphysema (CPFE), were excluded from the study, even if they had airflow obstruction. Patients with pulmonary complications such as asthma, diffuse panbronchiolitis, sinobronchitis, bronchiectasis, bronchiolitis obliterans, late sequelae of pulmonary tuberculosis, or severe cerebral-cardiovascular disease were also excluded from the study. We obtained clinical data, including the results of preoperative pulmonary function tests and laboratory examinations, chest CT findings, the performance status evaluated using the Eastern Cooperative Oncology Group performance status score, the modified British Medical Research Council (mMRC) dyspnea scale, the pathological stage of lung cancer, postoperative complications, and survival. The tumor, nodes, and metastasis (TNM) stage was evaluated based on the 7th edition of the TMN classification of lung cancer.14 Postoperative complications following pulmonary resection were defined as complications which occurred on postoperative days 0–30. The preoperative prognostic nutritional index (PNI),16 neutrophil-to-lymphocyte ratio (NLR),17 platelet-to-lymphocyte ratio (PLR),18 Advanced Lung Cancer Inflammation Index (ALI),19 modified Glasgow Prognostic Score (mGPS),20 and prognostic index (PI),21 which were previously reported to be prognostic determinants in lung cancer, were calculated based on laboratory data. All patients were observed until their death or the end of the study (October 1, 2021). The follow-up period was at least 5 years. This study was approved by the institutional research ethics committee of Shinshu University School of Medicine, and all patients gave their written informed consent to participate (the approval number: 5394). This retrospective observational study protocols were performed in accordance with the principles outlined in the Declaration of Helsinki of the World Medical Association.

CT Assessment and Classification of COPD into Three Phenotypes

All patients underwent chest CT scans during an inspiratory breath-hold in the supine position before surgery. Images were reconstructed by using a standard reconstruction algorithm for the lung by using a slice thickness of 1.25 mm. A visual assessment of the CT scan for the extent of emphysema was performed based on our previous reports.6,7,22,23 Briefly, emphysema was scored visually in the bilateral upper, middle, and lower lung fields according to the methods of Goddard et al.24 The visual scores for low attenuation areas (LAAs) were calculated as the sum of scores for the six lung fields (score range: 0–24). To evaluate the degree of airway wall thickness, CT images were analyzed using an image-analyzing software (EV Insite®; PSP, Co., Tokyo, Japan). The cross-sectional airway wall areas of B1 and B10 (third-generation bronchi) in the right lung were measured by manual tracing and presented as percentage of airway wall area (WA%). The cut-off value of WA% of B1 and B10 for detecting apparent bronchial wall thickness evaluated using visual assessment was determined using receiver operating characteristic (ROC) curve analysis (areas under the ROC curve were 0.751 and 0.785, respectively). Consequently, we evaluated the WA% of B10 for detecting apparent bronchial wall thickness in the present study, because it had larger area under the ROC curve than the WA% of B1. The sensitivity and specificity were both 71.2% when the cut-off value for the WA% of B10 was 50.014%. Therefore, we defined WA% ≥ 50% for B10 as bronchial wall thickness. Following a method described in previous studies,25,26 a quantitative analysis of the ESMCSA was performed using an image-analyzing software (EV Insite®; PSP, Co., Tokyo, Japan). The chest CT images were reviewed by two expert pulmonologists (Y.S. and Y.K., 10 and 22 years of experience, respectively) blinded to the patients’ clinical information. The patients were classified into three phenotypes according to the CT findings: non-emphysema phenotype characterized by the absence of emphysema with LAA = 0 regardless of bronchial wall thickness; emphysema phenotype characterized by the presence of emphysema with LAA ≥ 1 without bronchial wall thickness; or mixed phenotype characterized by the combination of the presence of emphysema with LAA ≥ 1 and bronchial wall thickness.

Pulmonary Function Tests

All patients underwent spirometry and measurement of the lung diffusion capacity for carbon monoxide (DLco), the DLco corrected for alveolar volume (DLco/VA), the total lung capacity (TLC), the residual volume (RV), and the functional residual capacity (FRC) before surgery. Measurements were performed using a pulmonary function testing system (Chestac-8900®; CHEST Co., Ltd., Tokyo, Japan) as described previously.6,7,22,23

Statistical Analysis

A univariate Cox proportional hazards regression analysis followed by multivariate analysis was used to identify determinants associated with the risk of death. Variables associated with prognosis in COPD, such as age, body mass index (BMI), smoking index, extent of airflow obstruction (GOLD stage), extent of dyspnea (mMRC dyspnea scale), extent of emphysema (LAA) and ESMCSA, were considered for inclusion in the analyses. Survival in each group was estimated using the Kaplan-Meier method, and differences between groups were compared using the Log rank test. Continuous variables were compared among three groups in a one-way analysis of variance, followed by Tukey–Kramer multiple comparisons correction. Two categorical variables such as gender and smoking status were compared among three groups using Fisher’s exact test. All statistical analyses were performed using the StatFlex software program (version 7; Artech Co. Ltd, Osaka, Japan). P<0.05 was considered significant in all statistical analyses.

Results

A total of 1316 patients had undergone pulmonary resection for primary lung cancer at our institution during the study period, including 196 (14.9%) patients who were suspected of having COPD. Sixty-four of these patients were excluded from the study because they did not meet the criteria for COPD, had pulmonary complications other than COPD before surgery, or had insufficient data. The data on the remaining 132 patients were analyzed in this study. Table 1 shows the baseline clinical characteristics of surgically resected patients with COPD and concomitant lung cancer. BMI was significantly higher in the non-emphysema phenotype than in the other phenotypes. The proportion of current smokers was significantly higher in the emphysema phenotype than in the non-emphysema phenotype. The performance status and mMRC dyspnea scale were significantly higher in the mixed phenotype than in the other phenotypes. In pulmonary function, vital capacity (VC) and forced vital capacity (FVC) were significantly higher in the emphysema phenotype than in the mixed phenotype. RV was significantly higher in the mixed phenotype than in the other phenotypes. The parameters of diffusing capacity were significantly higher in the non-emphysema phenotype than in the other phenotypes. There were no significant differences in prognostic indices for lung cancer, regular treatment for COPD before surgery and comorbidities before surgery among the three phenotypes.
Table 1

Baseline Clinical Characteristics of the Three Phenotypes in Surgically Resected Patients with COPD and Concomitant Lung Cancer

All Subjects (n=132)Non-Emphysema Phenotype (n=36)Emphysema Phenotype (n=49)Mixed Phenotype (n=47)
Age, years70.50±7.9371.86±6.1069.67±8.9970.32±8.03
Gender, female/male7/1254/321/482/45
BMI, kg/m222.99±3.4524.82±3.1822.28±3.32 **22.32±3.33 **
Smoking index, pack-years61.28±36.3851.87±42.9166.56±32.8560.11±36.31
Smoking status, Former/current smoker85/4728/824/25 *33/14
GOLD stage, 1/2/3/466/58/8/024/12/0/024/24/1/018/22/7/0
PS0.70±0.520.53±0.650.59±0.500.96±0.29 **††
mMRC dyspnea scale1.02±0.690.81±0.710.94±0.691.26±0.64 **
Chest CT findings
LAA score7.12±7.330±08.80±6.54 **10.83±7.18 **
WA% of right B1, %50.49±10.0548.08±6.8446.27±8.9456.74±10.23 **††
WA% of right B10, %48.90±7.6847.50±6.9543.12±4.67 **56.00±4.46 **††
ESMCSA, mm23203.51±751.683236.52±742.263217.38±655.103163.77±859.88
Pulmonary function tests
VC, L3.52±0.733.46±0.663.74±0.723.37±0.76
%VC, %102.48±16.74102.47±14.17105.61±16.8799.08±18.14
FVC, L3.36±0.743.25±0.723.58±0.733.20±0.74
%FVC, %99.73±17.6699.85±17.03103.28±17.3395.94±18.06
FEV1, L2.03±0.542.04±0.482.14±0.521.91±0.58
%FEV1, %75.68±17.0878.11±14.4976.83±17.1572.62±18.68
FEV1/FVC, %60.34±7.5362.79±5.1759.86±7.2158.96±0.94
TLC, L5.97±0.995.74±0.966.14±0.915.98±1.07
%TLC, %114.63±15.14112.97±14.61115.50±13.41115.03±17.35
RV, L2.43±0.542.24±0.612.39±0.392.62±0.57 **
%RV, %142.55±31.22131.56±35.32138.49±20.25155.49±33.49 **
FRC, L3.58±0.763.28±0.713.67±0.74 *3.71±0.76 *
%FRC, %102.66±19.68102.78±21.55100.09±18.27105.3±19.67
DLCO, mL/min/mmHg16.67±5.3020.07±4.0215.41±4.65 **15.36±5.73 **
%DLCO, %69.97±21.4985.90±15.6263.62±18.71 **64.28±22.16 **
DLCO/VA, mL/min/mmHg/L3.75±1.264.68±0.973.40±1.09 **3.39±1.27 **
%DLCO/VA, %85.68±29.43107.76±23.1077.43±26.16 **77.19±28.62 **
Prognostic indices for lung cancer
PNI49.76±5.0850.82±4.2649.88±5.4548.82±5.19
NLR2.40±1.602.37±1.782.35±1.692.48±1.38
PLR131.82±71.45141.22±100.64120.22±55.93136.66±56.67
ALI50.10±23.4257.20±26.2547.25±18.5947.48±24.93
mGPS0.10±0.350.03±0.170.06±0.240.19±0.50
PI0.11±0.340.06±0.230.10±0.310.17±0.43
Regular treatment for COPD before surgery
LAMA39 (29.5%)11 (30.6%)14 (28.6%)14 (29.8%)
LABA36 (27.3%)14 (38.9%)11 (22.4%)11 (23.4%)
ICS18 (13.6%)9 (25.0%)5 (10.2%)4 (8.5%)
Comorbidities before surgery
Hypertension51 (38.6%)19 (52.8%)14 (28.6%)18 (38.3%)
Diabetes mellitus20 (15.2%)7 (19.4%)5 (10.2%)8 (17.0%)
Cardiovascular disease13 (9.8%)3 (8.3%)4 (8.2%)6 (12.8%)
Arrhythmia6 (4.5%)2 (5.6%)2 (4.1%)2 (4.3%)
Peptic ulcer and/or Gastoroesophageal reflux disease12 (9.1%)3 (8.3%)5 (10.2%)4 (8.5%)

Notes: Values are given as mean±SD or n (%) unless otherwise noted. **p<0.01, *p<0.05 vs non-emphysema phenotype; ††p<0.01, †p<0.05 vs emphysema phenotype.

Abbreviations: BMI, body mass index; GOLD, Global Initiative for Chronic Obstructive Lung Disease; PS, performance status; mMRC, modified British Medical Research Council; LAA, low attenuation area; WA%, percentage of airway wall area; ESMCSA, cross-sectional area of erector spinae muscles; VC, vital capacity; FVC, forced vital capacity; FEV1, forced expiratory volume in 1 s; TLC, total lung capacity; RV, residual volume; FRC, functional residual capacity; DLCO, diffusing capacity for carbon monoxide; DLCO/VA, diffusing capacity for carbon monoxide corrected for alveolar volume; PNI, prognostic nutritional index; NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; ALI, Advanced Lung Cancer Inflammation Index; mGPS, modified Glasgow Prognostic Score; PI, prognostic index; LAMA, long-acting muscarinic antagonist; LABA, long-acting β2 agonist; ICS, inhaled corticosteroid.

Baseline Clinical Characteristics of the Three Phenotypes in Surgically Resected Patients with COPD and Concomitant Lung Cancer Notes: Values are given as mean±SD or n (%) unless otherwise noted. **p<0.01, *p<0.05 vs non-emphysema phenotype; ††p<0.01, †p<0.05 vs emphysema phenotype. Abbreviations: BMI, body mass index; GOLD, Global Initiative for Chronic Obstructive Lung Disease; PS, performance status; mMRC, modified British Medical Research Council; LAA, low attenuation area; WA%, percentage of airway wall area; ESMCSA, cross-sectional area of erector spinae muscles; VC, vital capacity; FVC, forced vital capacity; FEV1, forced expiratory volume in 1 s; TLC, total lung capacity; RV, residual volume; FRC, functional residual capacity; DLCO, diffusing capacity for carbon monoxide; DLCO/VA, diffusing capacity for carbon monoxide corrected for alveolar volume; PNI, prognostic nutritional index; NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; ALI, Advanced Lung Cancer Inflammation Index; mGPS, modified Glasgow Prognostic Score; PI, prognostic index; LAMA, long-acting muscarinic antagonist; LABA, long-acting β2 agonist; ICS, inhaled corticosteroid. Table 2 provides the details of lung cancer including histological diagnoses, pathological stage, type of resection, postoperative complications, and postoperative chemotherapy in these patients. Regarding the histological diagnosis of lung cancer, the proportion of squamous cell carcinoma was significantly higher in the mixed phenotype, and the proportion of adenocarcinoma was significantly higher in the non-emphysema phenotype than in the other phenotypes. There were no significant differences in the proportion of postoperative complications and postoperative chemotherapy among the three phenotypes.
Table 2

Histological Diagnosis, Pathological Stage, Type of Resection, Postoperative Complications Following Pulmonary Resection, and Postoperative Chemotherapy for the Three Phenotypes in Surgically Resected Patients with COPD and Concomitant Lung Cancer

All Subjects (n=132)Non-Emphysema Phenotype (n=36)Emphysema Phenotype (n=49)Mixed Phenotype (n=47)
Histological diagnosis
Small cell carcinoma3 (2.3%)1 (2.8%)0 (0.0%)2 (4.3%)
Squamous cell carcinoma52 (39.4%)4 (11.1%)19 (38.8%) *29 (61.7%) **
Adenocarcinoma69 (52.3%)28 (77.8%)26 (53.1%) *15 (31.9%) **
Large cell carcinoma6 (4.5%)2 (5.6%)3 (6.1%)1 (2.1%)
Other non-small cell carcinoma2 (1.5%)1 (2.8%)1 (2.0%)0 (0.0%)
Pathological stage (7th edition)
Stage I A, B98 (74.2%)30 (83.3%)32 (71.4%)36 (76.6%)
Stage II A, B24 (18.2%)3 (8.3%)10 (20.4%)11 (23.4%)
Stage III A, B9 (6.8%)2 (5.6%)7 (14.3%)0 (0.0%)
Stage IV1 (7.6%)1 (2.8%)0 (0.0%)0 (0.0%)
Advanced stage (IIIB, IV)1 (7.6%)1 (2.8%)0 (0.0%)0 (0.0%)
Type of resection
Segmentectomy16 (12.1%)3 (8.3%)7 (14.3%)6 (12.8%)
Lobectomy114 (86.4%)33 (91.7%)41 (83.7%)40 (85.1%)
Pneumonectomy2 (1.5%)0 (0.0%)1 (2.0%)1 (2.1%)
Postoperative complications following pulmonary resection
Acute exacerbation of COPD0 (0.0%)0 (0.0%)0 (0.0%)0 (0.0%)
Bacterial pneumonia8 (6.1%)3 (8.3%)3 (6.1%)2 (4.3%)
Pyothorax8 (6.1%)3 (8.3%)1 (2.0%)4 (8.5%)
Hypoxemia (respiratory failure)12 (9.1%)1 (2.8%)6 (12.2%)5 (10.6%)
Prolonged air leak12 (9.1%)6 (16.7%)3 (6.1%)3 (6.4%)
Paroxysmal atrial fibrillation12 (9.1%)2 (5.6%)7 (14.3%)3 (6.4%)
Others5 (3.8%)1 (2.8%)3 (6.1%)1 (2.1%)
Surgery-related death0 (0.0%)0 (0.0%)0 (0.0%)0 (0.0%)
Postoperative chemotherapy and radiation therapy
Adjuvant chemotherapy32 (24.2%)6 (16.7%)16 (32.7%)10 (21.3%)
Postoperative recurrence of lung cancer43 (32.6%)8 (22.2%)16 (32.7%)19 (40.4%)
Chemotherapy after developing recurrence30 (22.7%)5 (13.9%)10 (20.4%)15 (31.9%)
Chemotherapy-related death0 (0.0%)0 (0.0%)0 (0.0%)0 (0.0%)
Radiation therapy after developing recurrence8 (6.1%)2 (5.6%)2 (4.1%)4 (8.5%)

Notes: Values are given as n (%). **p<0.01, *p<0.05 vs non-emphysema phenotype; †p<0.05 vs emphysema phenotype.

Histological Diagnosis, Pathological Stage, Type of Resection, Postoperative Complications Following Pulmonary Resection, and Postoperative Chemotherapy for the Three Phenotypes in Surgically Resected Patients with COPD and Concomitant Lung Cancer Notes: Values are given as n (%). **p<0.01, *p<0.05 vs non-emphysema phenotype; †p<0.05 vs emphysema phenotype. Table 3 shows the number of deaths at the end of the study and the causes of deaths in these patients. There were no significant differences in the causes of deaths among the three phenotypes.
Table 3

Causes of Deaths in Surgically Resected Patients with COPD and Concomitant Lung Cancer

All Subjects (n=132)Non-Emphysema Phenotype (n=36)Emphysema Phenotype (n=49)Mixed Phenotype (n=47)
Number of deaths68102137
Lung cancer34 (50.0%)6 (60.0%)12 (57.1%)16 (44.4%)
Pneumonia13 (19.1%)2 (20.0%)1 (4.8%)10 (27.8%)
Acute exacerbation of COPD1 (1.5%)0 (0.0%)0 (0.0%)1 (2.8%)
Chronic respiratory failure3 (4.4%)1 (10.0%)0 (0.0%)2 (5.6%)
Other causes17 (25.0%)1 (10.0%)8 (38.1%)8 (22.2%)

Note: Values are given as n (%).

Causes of Deaths in Surgically Resected Patients with COPD and Concomitant Lung Cancer Note: Values are given as n (%). Table 4 shows the univariate and multivariate Cox proportional hazard regression analysis of the risk of death. The univariate Cox proportional hazard regression analysis showed that a higher mMRC dyspnea scale and higher LAA score were associated with the risk of death. The multivariate analysis showed that a higher age and higher LAA were independently associated with the risk of death.
Table 4

Univariate and Multivariate Cox Proportional Hazards Regression Analyses of the Risk of Death in Surgically Resected Patients with COPD and Concomitant Lung Cancer (n=132)

Univariate AnalysisMultivariate Analysis
HR95% CIpHR95% CIp
Age1.101810.98544–1.051870.28071.038281.00073–1.077230.0456
BMI0.947080.87700–1.022760.16570.967910.88087–1.063550.4975
Smoking index1.004410.99835–1.010510.15391.000480.99326–1.007750.8962
GOLD stage1.103820.74794–1.629030.61890.915660.62399–1.343660.6525
mMRC dyspnea scale1.480521.03362–2.120630.03231.318750.87771–1.981410.1829
LAA score1.045381.01383–1.077920.00451.047911.00668–1.090830.0223
ESMCSA0.999950.99963–1.000260.75111.000240.99984–1.000640.2341

Abbreviations: HR, hazard ratio; CI, confidence interval; BMI, body mass index; GOLD, Global Initiative for Chronic Obstructive Lung Disease; mMRC, modified British Medical Research Council; LAA, low attenuation area; ESMCSA, cross-sectional area of erector spinae muscles.

Univariate and Multivariate Cox Proportional Hazards Regression Analyses of the Risk of Death in Surgically Resected Patients with COPD and Concomitant Lung Cancer (n=132) Abbreviations: HR, hazard ratio; CI, confidence interval; BMI, body mass index; GOLD, Global Initiative for Chronic Obstructive Lung Disease; mMRC, modified British Medical Research Council; LAA, low attenuation area; ESMCSA, cross-sectional area of erector spinae muscles. Figure 1 shows the Kaplan-Meier curve of the overall survival among the non-emphysema phenotype (n=36, median survival time [MST]: 14.48 years), emphysema phenotype (n=49, MST: 10.38 years), and mixed phenotype (n=47, MST: 5.15 years). In the Kaplan-Meier analysis, the Log rank test showed significant differences in survival between the non-emphysema and mixed phenotypes (p=0.0001), and between the emphysema and mixed phenotypes (p=0.0197). A difference in survival was observed between the non-emphysema and emphysema phenotype (p=0.0661); however, it was not statistically significant.
Figure 1

Kaplan-Meier curve of overall survival for non-emphysema phenotype (n=36, MST: 14.48 years), emphysema phenotype (n=49, MST: 10.38 years), and mixed phenotype (n=47, MST: 5.15 years). Differences in survival were assessed using the Log rank test.

Kaplan-Meier curve of overall survival for non-emphysema phenotype (n=36, MST: 14.48 years), emphysema phenotype (n=49, MST: 10.38 years), and mixed phenotype (n=47, MST: 5.15 years). Differences in survival were assessed using the Log rank test.

Discussion

This is the first report to focus on the details of the association between chest CT findings and prognosis in surgically resected patients with COPD and concomitant lung cancer. The mixed phenotype was associated with poorer performance status, greater extent of dyspnea, greater impairment of pulmonary function, higher proportion of squamous cell carcinoma, and shorter survival. The extent of emphysema presented as the LAA score was an independent determinant that predicted prognosis. On the other hand, there were no significant differences in any prognostic indices for lung cancer that are indicative of the nutritional and immunological status or the systemic inflammation response among the three phenotypes. In the present study, we found that the mixed phenotype was associated with a higher proportion of squamous cell carcinoma than the emphysema phenotype without airway wall thickness. Smokers with COPD have a higher risk of developing a specific histological subtype of non-small cell lung cancer termed squamous cell carcinoma.27 Smith et al reported that the presence of emphysema on chest CT is associated with significantly increased odds of squamous cell carcinoma after adjusting for smoking history.28 Analysis by grade of emphysema yielded similar results, with an increase in the odds of squamous histology observed in parallel to increasing emphysema severity.28 In contrast, no report has yet described the association between squamous cell carcinoma and bronchial wall thickness on chest CT in COPD. Little is known about the differences in mechanisms involved in lung cancer development among COPD phenotypes; however, we speculate that the mixed phenotype exhibited worse pulmonary function than the other phenotypes, which may result in the impaired clearance of carcinogenic substances from the airway. We also speculate that airway disease that presented as bronchial wall thickness on chest CT may be preneoplastic lesions of squamous cell lung carcinoma, though the precise timing of alterations during the sequential phases of squamous cell lung carcinoma development in COPD patients is still unknown.27 In addition to the LAA score, we used WA% as a parameter of bronchial wall thickness in the present study, though there are various other parameters, such as AWT-Pi10 and airway inner luminal area.29,30 The reason is because that measurement of the WA% of B10 is relatively easy to apply in clinical practice. Quantitative CT has been increasingly applied to patients with COPD.29,31,32 However, imaging software programs for quantitative CT sometimes have a problem with availability in clinical practice. Furthermore, the image acquisition and analysis protocols may have differed among various studies that used quantitative CT. This difference was due to the lack of an international consensus concerning the methodology of quantitative CT. In contrast, a visual assessment of the extent of emphysema is based on an established method24 and can easily be applied to all patients with COPD who underwent chest CT in clinical practice, though it is a semi-quantitative method that cannot fully eliminate inter-observer and intra-observer variation. Therefore, we speculate that our methodology is helpful to understanding the clinical characteristics of surgically resected patients with COPD and concomitant lung cancer because of its simplicity and availability. In the mixed phenotype, which had both a high LAA score and high WA%, the extent of dyspnea was greater, performance status poorer, and pulmonary function impairment greater than in the other phenotypes, which may result in the poorer prognosis in the present study. These findings suggest that earlier intensive therapeutic intervention for COPD, such as the addition of inhaled bronchodilators and pulmonary rehabilitation, should be applied to this phenotype than the other phenotypes. In addition, limited resection for primary lung cancer may be considered in the mixed phenotype because of their poorer prognosis. Thus, the combination of LAA score and WA% may be one of the useful treatable traits for the management of surgically resected patients with COPD and concomitant lung cancer to determine whether early intensive therapeutic intervention for COPD and limited resection for primary lung cancer should be applied, and also one of determinants to predict all-cause mortality. In the present study, there were no significant differences in the ESMCSA among the three phenotypes, and there was no significant association between ESMCSA and prognosis. However, previous reports revealed the association between ESMCSA and prognosis in various diseases, including COPD.12,25,26,33 This may be because all subjects had a performance status of 0 or 1 in the present study; thus, few patients exhibited a decrease in ESMCSA that is indicative of sarcopenia. However, the previous report revealed that accelerated loss of ESMCSA is associated with all-cause mortality in patients with COPD.13 Thus, further study is needed to investigate whether the decline in ESMCSA following surgery is associated with all-cause mortality in surgically resected patients with COPD and concomitant lung cancer. The present study has several limitations. First, this was a retrospective single-center study, and the sample size was small. Additional prospective studies should be performed with large study populations that include more patients in order to confirm our results. Second, the assessment of the extent of emphysema on chest CT was performed using a visual scoring method,6,7,22,23 rather than a software-based method. However, the reproducibility of the visual scoring system was demonstrated in our previous report.7 Third, the differences in regular treatment for COPD, such as inhaled bronchodilator and corticosteroid, among patients may affect the results. In addition, the differences in the postoperative treatment of lung cancer, such as chemotherapy and radiation therapy, among patients may affect the results, though there was no significant difference in the recurrence rate among the three phenotypes.

Conclusion

The cross-sectional preoperative LAA score can predict the prognosis in surgically resected patients with COPD and concomitant lung cancer. The COPD phenotype with both emphysema and bronchial wall thickness on chest CT was associated with poorer performance status, greater extent of dyspnea, greater impairment of pulmonary function, and worse prognosis in these patients.
  32 in total

1.  Quantitative computed tomography: emphysema and airway wall thickness by sex, age and smoking.

Authors:  T B Grydeland; A Dirksen; H O Coxson; S G Pillai; S Sharma; G E Eide; A Gulsvik; P S Bakke
Journal:  Eur Respir J       Date:  2009-03-26       Impact factor: 16.671

2.  Neutrophil to lymphocyte ratio associated with prognosis of lung cancer.

Authors:  V Bar-Ad; J Palmer; L Li; Y Lai; B Lu; R E Myers; Z Ye; R Axelrod; J M Johnson; M Werner-Wasik; S W Cowan; N R Evans; B T Hehn; C C Solomides; C Wang
Journal:  Clin Transl Oncol       Date:  2016-12-01       Impact factor: 3.405

Review 3.  Mechanisms involved in lung cancer development in COPD.

Authors:  Gaetano Caramori; Paolo Casolari; Giorgio Narciso Cavallesco; Sarah Giuffrè; Ian Adcock; Alberto Papi
Journal:  Int J Biochem Cell Biol       Date:  2010-10-14       Impact factor: 5.085

4.  Computed tomography in pulmonary emphysema.

Authors:  P R Goddard; E M Nicholson; G Laszlo; I Watt
Journal:  Clin Radiol       Date:  1982-07       Impact factor: 2.350

5.  Characteristics of COPD phenotypes classified according to the findings of HRCT.

Authors:  Yoshiaki Kitaguchi; Keisaku Fujimoto; Keishi Kubo; Takayuki Honda
Journal:  Respir Med       Date:  2006-03-23       Impact factor: 3.415

6.  Quantitative Assessment of Erector Spinae Muscles in Patients with Chronic Obstructive Pulmonary Disease. Novel Chest Computed Tomography-derived Index for Prognosis.

Authors:  Kazuya Tanimura; Susumu Sato; Yoshinori Fuseya; Koichi Hasegawa; Kiyoshi Uemasu; Atsuyasu Sato; Tsuyoshi Oguma; Toyohiro Hirai; Michiaki Mishima; Shigeo Muro
Journal:  Ann Am Thorac Soc       Date:  2016-03

7.  Quantitative computed tomography measures of skeletal muscle mass in patients with idiopathic pulmonary fibrosis according to a multidisciplinary discussion diagnosis: A retrospective nationwide study in Japan.

Authors:  Nobuyasu Awano; Minoru Inomata; Naoyuki Kuse; Mari Tone; Hanako Yoshimura; Tatsunori Jo; Kohei Takada; Chikatoshi Sugimoto; Tomonori Tanaka; Hiromitsu Sumikawa; Yuzo Suzuki; Tomoyuki Fujisawa; Takafumi Suda; Takehiro Izumo
Journal:  Respir Investig       Date:  2019-12-24

8.  Comparison of pulmonary function in patients with COPD, asthma-COPD overlap syndrome, and asthma with airflow limitation.

Authors:  Yoshiaki Kitaguchi; Masanori Yasuo; Masayuki Hanaoka
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2016-05-09

9.  The Prognostic Value of PLR in Lung Cancer, a Meta-analysis Based on Results from a Large Consecutive Cohort.

Authors:  Nan Ding; ZhaoFei Pang; Hongchang Shen; Yang Ni; Jiajun Du; Qi Liu
Journal:  Sci Rep       Date:  2016-10-05       Impact factor: 4.379

10.  Lung cancer resection and postoperative outcomes in COPD: A single-center experience.

Authors:  Emma Roy; Justine Rheault; Marc-Antoine Pigeon; Paula Antonia Ugalde; Christine Racine; Serge Simard; Gabriel Chouinard; Alexandre Lippens; Yves Lacasse; François Maltais
Journal:  Chron Respir Dis       Date:  2020 Jan-Dec       Impact factor: 2.444

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