Abstract

OBJECTIVES

The diffusing capacity of the lung for carbon monoxide (DLCO) is an indicator of lung damage. We sought to determine whether DLCO is associated with the aggressiveness of lung adenocarcinoma using histopathological indexes, such as tumour differentiation, scar grade, nuclear atypia and the mitotic index.

METHODS

Fifty-seven patients with low DLCO (≤80% of predicted) and 466 patients with normal DLCO (>80% of predicted) who underwent R0 resection of lung adenocarcinoma between 2005 and 2012 were retrospectively reviewed. The relationships between the DLCO status and each histopathological index as well as the overall survival were evaluated.

RESULTS

Low DLCO had significant relationships with moderate/poor differentiation (79% vs 57% [low DLCO vs normal DLCO]), scar grade 3/4 (37% vs 18%), nuclear atypia 3 (65% vs 30%) and the mitotic index 3 (26% vs 8%). After adjusting for the age, sex, forced expiratory volume in 1 s, smoking status and tumour size, a low DLCO still showed a significant correlation with the histopathological indexes. These histopathological indexes were all significant factors for the overall survival on log-rank tests. In a multivariable Cox regression analysis with 13 clinicopathological variables, moderate/poor differentiation and nuclear atypia Grade 3 were significant histopathological factors for the overall survival (hazard ratios: 2.16 and 1.84; 95% confidence intervals: 1.10–4.51 and 1.06-3.21; P = 0.024 and 0.029, respectively).

CONCLUSIONS

Our findings regarding the relationship between DLCO and the histopathological indexes of lung adenocarcinoma suggest that lung damage may be associated with carcinogenesis and progression.

INTRODUCTION

The diffusing capacity for carbon monoxide (DLCO) is a surrogate marker for lung damage, as found in patients with emphysema, pulmonary fibrosis and similar lung diseases, and it is useful during lung cancer screening in patients with chronic obstructive pulmonary disease [1, 2]. In addition, DLCO has been reported to be strongly related to the postoperative overall survival (OS) in patients with non-small-cell lung cancer [3–8]. We can expect a shorter OS in patients with poor DLCO due to the influence of pulmonary complications. However, the relationship between the aggressiveness of lung adenocarcinoma and DLCO is unclear.

Lung adenocarcinoma is the most common type of lung cancer at our institution. Several histopathological indexes have been reported to be associated with the aggressiveness of lung adenocarcinoma. The tumour differentiation, scar grade, nuclear atypia and mitotic index are histopathological indexes reported to be prognostic factors [9–14]. The scar grade is based on the degree of fibrosis, nuclear atypia is based on the nuclear diameter of tumour, and the mitotic index is based on the number of mitotic cells per 10 high-power fields.

In this study, we investigated patients with lung adenocarcinoma to evaluate the histopathological aggressiveness. We hypothesized that more aggressive adenocarcinoma develops in more severely damaged lung and that DLCO has some relationship with the histopathological aggressiveness. We conducted this study to clarify the relationship between DLCO and the histopathological indexes of lung adenocarcinoma, such as tumour differentiation, scar grade, nuclear atypia and the mitotic index and to determine its prognostic value.

MATERIALS AND METHODS

This study was conducted with the approval of the Institutional Review Board of Nagoya University Hospital. We extracted the clinicopathological data of patients who underwent R0 resection for pathological Stage IA to IIIA lung adenocarcinoma without preoperative therapy at Nagoya University Hospital between 2005 and 2012. Using these criteria, 523 patients with full data available were enrolled in this study. All patients were considered for surgery after the assessment of their general condition and comorbidities by a preoperative interview, physical examinations, blood tests, urine tests, cultures, electrocardiography, spirometry and further management (if required). All patients received regular postoperative follow-up examinations by thoracic surgeons and/or respirologists. The follow-up data were updated annually (last follow-up: 19 November 2015).

The postoperative patients were scheduled for follow-up every 1–3 months for 2 years and every 6 months thereafter. They were then surveyed by physical examinations, chest roentgenograms and measurements of their serum carcinoembryonic antigen levels to detect recurrence [15]. At a minimum, computed tomography of the chest and abdomen was performed at 2 and 5 years after surgery in patients with Stage I tumours and every 12 months after surgery in patients with Stage II and III tumours, in accordance with the physician’s decision.

The seventh edition of the tumour–node–metastasis classification [16] was applied in this cohort. The pathological diagnosis of the tumour was made based on the definition of the World Health Organization classification [17]. The scar grade, nuclear atypia and mitotic index were assessed as described previously [9, 11]. We adopted the modified scar grade previously reported by Maeshima et al. [11]. The histopathological diagnosis of the tumour was made by a number of pathologists. The cut-off values of DLCO and FEV1.0 were set to 80%, based on the clinical guidelines [3, 18].

Statistical analyses

Fisher’s exact test and Student’s t-test were used to compare the distribution of categorical and continuous values between the 2 groups, respectively. A multivariable logistic regression analysis was performed to estimate the odds ratios (ORs) and 95% confidence intervals for each of the histopathological indexes using the following clinical variables: the DLCO status, the forced expiratory volume in 1 s (FEV1.0) status, age, sex, smoking status and tumour size. These clinical variables were selected because they are known to be common prognostic factors and might be related to tumour aggressiveness. The DLCO status, sex, smoking status and tumour size were found to be significant predictive factors for each of the histopathological indexes in a univariable analysis (P < 0.05). The FEV1.0 status was found to be a significant predictive factor for tumour differentiation (P < 0.05) and a marginal predictive factor for nuclear atypia and the mitotic index (P < 0.10).

The OS was defined as the time from surgery to death due to any cause. The cancer-specific survival (CSS) was defined as the time from surgery to death due to lung cancer, and 34 patients who died due to reasons other than lung cancer were censored. The Kaplan–Meier method was used to estimate the OS and CSS, and the log-rank test was used to compare the survival curves. A multivariable Cox regression analysis was performed to estimate the hazard ratios (HRs) and 95% confidence intervals for the OS using the DLCO status, FEV1.0 status, age, sex, smoking status, tumour size, pathological N status, lymphatic permeation, vascular invasion and histopathological indexes—clinicopathological variables that are known to be common prognostic factors. With the exception of age (P = 0.20), all of these variables had been found to be significant prognostic factors for the OS in a univariable analysis (P < 0.05).

The proportional hazard assumptions for OS and CCS were verified using the log of the negative log of the estimated survivor functions for the DLCO status. Statistical significance was defined as P < 0.05. All analyses were conducted using the JMP software program (version 11.0.0; SAS institute Inc., Cary, NC, USA).

RESULTS

Clinicopathological characteristics

Table 1 shows the clinicopathological characteristics of the 57 patients with low DLCO (≤80% of predicted) and 466 patients with normal DLCO (>80% of predicted). The low DLCO patient subgroup was characterized by a lower FEV1.0 status, a greater proportion of males, a higher number of current or former smokers, a larger tumour size and a greater proportion of histopathological N1/2 disease, lymphatic permeation, moderate/poor tumour differentiation, scar grade 3/4, nuclear atypia 3 and mitotic index 3 than the normal DLCO group. Six (11%) patients with low DLCO and 22 (5%) patients with normal DLCO were identified as having pulmonary fibrosis (P = 0.066). After adjusting for the clinical variables (the DLco status, FEV1.0 status, age, sex, smoking status and tumour size) in a multivariable logistic regression analysis, low DLCO remained a significant predictor of moderate/poor tumour differentiation [OR: 2.00 (95% CI: 1.02–4.18); P = 0.045], scar grade 3/4 [OR: 2.19 (95% CI: 1.15–4.08); P = 0.017], nuclear atypia 3 [OR: 3.58 (95% CI: 1.95–6.76); P < 0.001] and mitotic index 3 [OR: 2.57 (95% CI: 1.19–5.37); P = 0.017] (Table 2). Despite the association between the DLCO status and the histopathological indexes, the FEV1.0 status had no significant relationship with the histopathological indexes.

Table 1

Clinicopathological characteristics classified by the DLCO status

Low DLCO (n = 57)Normal DLCO (n = 466)P-value
Age, years (mean ± SD)68.6 ± 9.467.3 ± 8.60.17
Sex
 Female15 (26%)213 (46%)0.005
 Male42 (74%)253 (54%)
FEV1.0
 >80% of predicted42 (74%)437 (94%)<0.001
 ≤80% of predicted15 (26%)29 (6%)
Smoking status
 Never10 (18%)206 (44%)<0.001
 Current or former47 (82%)260 (56%)
Tumour size, cm (mean ± SD)3.27 ± 2.402.63 ± 1.370.041
Pathological N status
 N044 (77%)406 (87%)0.041
 N1/213 (23%)60 (13%)
Surgical procedure
 Wedge resection5270.28
 Segmentectomy563
 Lobectomy45371
 Pneumonectomy25
Lymphatic permeation
 Negative42 (74%)392 (84%)0.048
 Positive15 (26%)74 (16%)
Vascular invasion
 Negative46 (81%)416 (89%)0.057
 Positive11 (19%)50 (11%)
Tumour differentiation
 Well12 (21%)201 (43%)0.001
 Moderate/poor45 (79%)265 (57%)
Scar grade
 1/236 (63%)383 (82%)<0.001
 3/421 (37%)83 (18%)
Nuclear atypia
 1/220 (35%)328 (70%)<0.001
 337 (65%)138 (30%)
Mitotic index
 1/242 (74%)428 (92%)<0.001
 315 (26%)38 (8%)
Low DLCO (n = 57)Normal DLCO (n = 466)P-value
Age, years (mean ± SD)68.6 ± 9.467.3 ± 8.60.17
Sex
 Female15 (26%)213 (46%)0.005
 Male42 (74%)253 (54%)
FEV1.0
 >80% of predicted42 (74%)437 (94%)<0.001
 ≤80% of predicted15 (26%)29 (6%)
Smoking status
 Never10 (18%)206 (44%)<0.001
 Current or former47 (82%)260 (56%)
Tumour size, cm (mean ± SD)3.27 ± 2.402.63 ± 1.370.041
Pathological N status
 N044 (77%)406 (87%)0.041
 N1/213 (23%)60 (13%)
Surgical procedure
 Wedge resection5270.28
 Segmentectomy563
 Lobectomy45371
 Pneumonectomy25
Lymphatic permeation
 Negative42 (74%)392 (84%)0.048
 Positive15 (26%)74 (16%)
Vascular invasion
 Negative46 (81%)416 (89%)0.057
 Positive11 (19%)50 (11%)
Tumour differentiation
 Well12 (21%)201 (43%)0.001
 Moderate/poor45 (79%)265 (57%)
Scar grade
 1/236 (63%)383 (82%)<0.001
 3/421 (37%)83 (18%)
Nuclear atypia
 1/220 (35%)328 (70%)<0.001
 337 (65%)138 (30%)
Mitotic index
 1/242 (74%)428 (92%)<0.001
 315 (26%)38 (8%)

DLCO: diffusing capacity of the lung for carbon monoxide; FEV1.0: forced expiratory volume in 1 s; SD: standard deviation.

Table 1

Clinicopathological characteristics classified by the DLCO status

Low DLCO (n = 57)Normal DLCO (n = 466)P-value
Age, years (mean ± SD)68.6 ± 9.467.3 ± 8.60.17
Sex
 Female15 (26%)213 (46%)0.005
 Male42 (74%)253 (54%)
FEV1.0
 >80% of predicted42 (74%)437 (94%)<0.001
 ≤80% of predicted15 (26%)29 (6%)
Smoking status
 Never10 (18%)206 (44%)<0.001
 Current or former47 (82%)260 (56%)
Tumour size, cm (mean ± SD)3.27 ± 2.402.63 ± 1.370.041
Pathological N status
 N044 (77%)406 (87%)0.041
 N1/213 (23%)60 (13%)
Surgical procedure
 Wedge resection5270.28
 Segmentectomy563
 Lobectomy45371
 Pneumonectomy25
Lymphatic permeation
 Negative42 (74%)392 (84%)0.048
 Positive15 (26%)74 (16%)
Vascular invasion
 Negative46 (81%)416 (89%)0.057
 Positive11 (19%)50 (11%)
Tumour differentiation
 Well12 (21%)201 (43%)0.001
 Moderate/poor45 (79%)265 (57%)
Scar grade
 1/236 (63%)383 (82%)<0.001
 3/421 (37%)83 (18%)
Nuclear atypia
 1/220 (35%)328 (70%)<0.001
 337 (65%)138 (30%)
Mitotic index
 1/242 (74%)428 (92%)<0.001
 315 (26%)38 (8%)
Low DLCO (n = 57)Normal DLCO (n = 466)P-value
Age, years (mean ± SD)68.6 ± 9.467.3 ± 8.60.17
Sex
 Female15 (26%)213 (46%)0.005
 Male42 (74%)253 (54%)
FEV1.0
 >80% of predicted42 (74%)437 (94%)<0.001
 ≤80% of predicted15 (26%)29 (6%)
Smoking status
 Never10 (18%)206 (44%)<0.001
 Current or former47 (82%)260 (56%)
Tumour size, cm (mean ± SD)3.27 ± 2.402.63 ± 1.370.041
Pathological N status
 N044 (77%)406 (87%)0.041
 N1/213 (23%)60 (13%)
Surgical procedure
 Wedge resection5270.28
 Segmentectomy563
 Lobectomy45371
 Pneumonectomy25
Lymphatic permeation
 Negative42 (74%)392 (84%)0.048
 Positive15 (26%)74 (16%)
Vascular invasion
 Negative46 (81%)416 (89%)0.057
 Positive11 (19%)50 (11%)
Tumour differentiation
 Well12 (21%)201 (43%)0.001
 Moderate/poor45 (79%)265 (57%)
Scar grade
 1/236 (63%)383 (82%)<0.001
 3/421 (37%)83 (18%)
Nuclear atypia
 1/220 (35%)328 (70%)<0.001
 337 (65%)138 (30%)
Mitotic index
 1/242 (74%)428 (92%)<0.001
 315 (26%)38 (8%)

DLCO: diffusing capacity of the lung for carbon monoxide; FEV1.0: forced expiratory volume in 1 s; SD: standard deviation.

Table 2

The multivariable logistic regression analysis of the clinical variables associated with moderate/poor tumour differentiation, scar grade 3/4, nuclear atypia 3 and mitotic index 3

Moderate/poor tumour differentiation
Scar grade 3/4
Nuclear atypia 3
Mitotic index 3
OR95% CIP-valueOR95% CIP-valueOR95% CIP-valueOR95% CIP-value
DLCO
 >80% of predicted1.001.02, 4.180.0451.001.15, 4.080.0171.001.95, 6.76<0.0011.001.19, 5.370.017
 ≤80% of predicted2.002.193.582.57
FEV1.0
 >80% of predicted1.000.71, 3.190.321.000.41, 1.940.831.000.49, 1.950.961.000.42, 2.720.78
 ≤80% of predicted1.460.920.981.14
Age
 Ten-year increase0.940.75, 1.160.541.050.82, 1.370.690.880.70, 1.100.260.880.62, 1.250.46
Sex
 Female1.000.54, 1.560.771.000.66, 2.460.481.001.11, 3.400.0201.001.07, 8.840.036
 Male0.921.271.932.89
Smoking status
 Never1.001.56, 4.57<0.0011.000.71, 2.710.351.000.90, 2.820.111.000.87, 8.210.091
 Current or former2.641.381.592.51
Tumour size
 One-cm increase1.321.14, 1.54<0.0011.191.04, 1.370.0111.130.99, 1.290.0661.261.07, 1.490.007
Moderate/poor tumour differentiation
Scar grade 3/4
Nuclear atypia 3
Mitotic index 3
OR95% CIP-valueOR95% CIP-valueOR95% CIP-valueOR95% CIP-value
DLCO
 >80% of predicted1.001.02, 4.180.0451.001.15, 4.080.0171.001.95, 6.76<0.0011.001.19, 5.370.017
 ≤80% of predicted2.002.193.582.57
FEV1.0
 >80% of predicted1.000.71, 3.190.321.000.41, 1.940.831.000.49, 1.950.961.000.42, 2.720.78
 ≤80% of predicted1.460.920.981.14
Age
 Ten-year increase0.940.75, 1.160.541.050.82, 1.370.690.880.70, 1.100.260.880.62, 1.250.46
Sex
 Female1.000.54, 1.560.771.000.66, 2.460.481.001.11, 3.400.0201.001.07, 8.840.036
 Male0.921.271.932.89
Smoking status
 Never1.001.56, 4.57<0.0011.000.71, 2.710.351.000.90, 2.820.111.000.87, 8.210.091
 Current or former2.641.381.592.51
Tumour size
 One-cm increase1.321.14, 1.54<0.0011.191.04, 1.370.0111.130.99, 1.290.0661.261.07, 1.490.007

OR: odds ratio; CI: confidence interval; DLCO: diffusing capacity of the lung for carbon monoxide; FEV1.0: forced expiratory volume in 1 s.

Table 2

The multivariable logistic regression analysis of the clinical variables associated with moderate/poor tumour differentiation, scar grade 3/4, nuclear atypia 3 and mitotic index 3

Moderate/poor tumour differentiation
Scar grade 3/4
Nuclear atypia 3
Mitotic index 3
OR95% CIP-valueOR95% CIP-valueOR95% CIP-valueOR95% CIP-value
DLCO
 >80% of predicted1.001.02, 4.180.0451.001.15, 4.080.0171.001.95, 6.76<0.0011.001.19, 5.370.017
 ≤80% of predicted2.002.193.582.57
FEV1.0
 >80% of predicted1.000.71, 3.190.321.000.41, 1.940.831.000.49, 1.950.961.000.42, 2.720.78
 ≤80% of predicted1.460.920.981.14
Age
 Ten-year increase0.940.75, 1.160.541.050.82, 1.370.690.880.70, 1.100.260.880.62, 1.250.46
Sex
 Female1.000.54, 1.560.771.000.66, 2.460.481.001.11, 3.400.0201.001.07, 8.840.036
 Male0.921.271.932.89
Smoking status
 Never1.001.56, 4.57<0.0011.000.71, 2.710.351.000.90, 2.820.111.000.87, 8.210.091
 Current or former2.641.381.592.51
Tumour size
 One-cm increase1.321.14, 1.54<0.0011.191.04, 1.370.0111.130.99, 1.290.0661.261.07, 1.490.007
Moderate/poor tumour differentiation
Scar grade 3/4
Nuclear atypia 3
Mitotic index 3
OR95% CIP-valueOR95% CIP-valueOR95% CIP-valueOR95% CIP-value
DLCO
 >80% of predicted1.001.02, 4.180.0451.001.15, 4.080.0171.001.95, 6.76<0.0011.001.19, 5.370.017
 ≤80% of predicted2.002.193.582.57
FEV1.0
 >80% of predicted1.000.71, 3.190.321.000.41, 1.940.831.000.49, 1.950.961.000.42, 2.720.78
 ≤80% of predicted1.460.920.981.14
Age
 Ten-year increase0.940.75, 1.160.541.050.82, 1.370.690.880.70, 1.100.260.880.62, 1.250.46
Sex
 Female1.000.54, 1.560.771.000.66, 2.460.481.001.11, 3.400.0201.001.07, 8.840.036
 Male0.921.271.932.89
Smoking status
 Never1.001.56, 4.57<0.0011.000.71, 2.710.351.000.90, 2.820.111.000.87, 8.210.091
 Current or former2.641.381.592.51
Tumour size
 One-cm increase1.321.14, 1.54<0.0011.191.04, 1.370.0111.130.99, 1.290.0661.261.07, 1.490.007

OR: odds ratio; CI: confidence interval; DLCO: diffusing capacity of the lung for carbon monoxide; FEV1.0: forced expiratory volume in 1 s.

The association between non-smokers and the development of well-differentiated adenocarcinoma with a better prognosis is already known. To eliminate this influence, we assessed the data of 307 former or current smokers, whose clinicopathological characteristics are shown in Table 3. As mentioned earlier, the low DLCO patient subgroup was also characterized by a greater proportion of moderate/poor tumour differentiation, scar grade 3/4, nuclear atypia 3 and mitotic index 3 than the normal DLCO group. Similarly, after adjusting for the clinical variables (the DLCO status, FEV1.0 status, age, sex and tumour size), low DLCO still showed a significant correlation with moderate/poor tumour differentiation [OR: 3.18 (95% CI: 1.36–8.75); P = 0.006], scar grade 3/4 [OR: 2.40 (95% CI: 1.19–4.79); P = 0.016], nuclear atypia 3 [OR: 5.23 (95% CI: 2.56–11.46); P < 0.001] and mitotic index 3 [OR: 2.80 (95% CI: 1.28–5.96); P = 0.011].

Table 3

Clinicopathological characteristics of 307 smokers classified by the DLCO status

Low DLCO (n = 47)Normal DLCO (n = 260)P-value
Age, years (mean  ± SD)67.8 ± 7.167.3 ± 8.90.91
Sex
 Female5 (11%)38 (15%)0.47
 Male42 (89%)222 (85%)
FEV1.0
 >80% of predicted33 (70%)237 (91%)<0.001
 ≤80% of predicted14 (30%)23 (9%)
Tumour size, cm (mean  ± SD)3.45 ± 2.592.68 ± 1.410.042
Pathological N status
 N034 (72%)220 (85%)0.040
 N1/213 (28%)40 (15%)
Surgical procedure
 Wedge resection3140.50
 Segmentectomy435
 Lobectomy38207
 Pneumonectomy24
Lymphatic permeation
 Negative32 (68%)210 (81%)0.050
 Positive15 (32%)50 (19%)
Vascular invasion
 Negative37 (79%)222 (85%)0.25
 Positive10 (21%)38 (15%)
Tumour differentiation
 Well6 (13%)88 (34%)0.004
 Moderate/poor41 (87%)172 (66%)
Scar grade
 1/228 (60%)206 (79%)0.004
 3/419 (40%)54 (21%)
Nuclear atypia
 1/211 (23%)165 (63%)<0.001
 336 (77%)95 (37%)
Mitotic index
 1/232 (68%)228 (88%)<0.001
 315 (32%)32 (12%)
Low DLCO (n = 47)Normal DLCO (n = 260)P-value
Age, years (mean  ± SD)67.8 ± 7.167.3 ± 8.90.91
Sex
 Female5 (11%)38 (15%)0.47
 Male42 (89%)222 (85%)
FEV1.0
 >80% of predicted33 (70%)237 (91%)<0.001
 ≤80% of predicted14 (30%)23 (9%)
Tumour size, cm (mean  ± SD)3.45 ± 2.592.68 ± 1.410.042
Pathological N status
 N034 (72%)220 (85%)0.040
 N1/213 (28%)40 (15%)
Surgical procedure
 Wedge resection3140.50
 Segmentectomy435
 Lobectomy38207
 Pneumonectomy24
Lymphatic permeation
 Negative32 (68%)210 (81%)0.050
 Positive15 (32%)50 (19%)
Vascular invasion
 Negative37 (79%)222 (85%)0.25
 Positive10 (21%)38 (15%)
Tumour differentiation
 Well6 (13%)88 (34%)0.004
 Moderate/poor41 (87%)172 (66%)
Scar grade
 1/228 (60%)206 (79%)0.004
 3/419 (40%)54 (21%)
Nuclear atypia
 1/211 (23%)165 (63%)<0.001
 336 (77%)95 (37%)
Mitotic index
 1/232 (68%)228 (88%)<0.001
 315 (32%)32 (12%)

DLCO: diffusing capacity of the lung for carbon monoxide; FEV1.0: forced expiratory volume in 1 s; SD: standard deviation.

Table 3

Clinicopathological characteristics of 307 smokers classified by the DLCO status

Low DLCO (n = 47)Normal DLCO (n = 260)P-value
Age, years (mean  ± SD)67.8 ± 7.167.3 ± 8.90.91
Sex
 Female5 (11%)38 (15%)0.47
 Male42 (89%)222 (85%)
FEV1.0
 >80% of predicted33 (70%)237 (91%)<0.001
 ≤80% of predicted14 (30%)23 (9%)
Tumour size, cm (mean  ± SD)3.45 ± 2.592.68 ± 1.410.042
Pathological N status
 N034 (72%)220 (85%)0.040
 N1/213 (28%)40 (15%)
Surgical procedure
 Wedge resection3140.50
 Segmentectomy435
 Lobectomy38207
 Pneumonectomy24
Lymphatic permeation
 Negative32 (68%)210 (81%)0.050
 Positive15 (32%)50 (19%)
Vascular invasion
 Negative37 (79%)222 (85%)0.25
 Positive10 (21%)38 (15%)
Tumour differentiation
 Well6 (13%)88 (34%)0.004
 Moderate/poor41 (87%)172 (66%)
Scar grade
 1/228 (60%)206 (79%)0.004
 3/419 (40%)54 (21%)
Nuclear atypia
 1/211 (23%)165 (63%)<0.001
 336 (77%)95 (37%)
Mitotic index
 1/232 (68%)228 (88%)<0.001
 315 (32%)32 (12%)
Low DLCO (n = 47)Normal DLCO (n = 260)P-value
Age, years (mean  ± SD)67.8 ± 7.167.3 ± 8.90.91
Sex
 Female5 (11%)38 (15%)0.47
 Male42 (89%)222 (85%)
FEV1.0
 >80% of predicted33 (70%)237 (91%)<0.001
 ≤80% of predicted14 (30%)23 (9%)
Tumour size, cm (mean  ± SD)3.45 ± 2.592.68 ± 1.410.042
Pathological N status
 N034 (72%)220 (85%)0.040
 N1/213 (28%)40 (15%)
Surgical procedure
 Wedge resection3140.50
 Segmentectomy435
 Lobectomy38207
 Pneumonectomy24
Lymphatic permeation
 Negative32 (68%)210 (81%)0.050
 Positive15 (32%)50 (19%)
Vascular invasion
 Negative37 (79%)222 (85%)0.25
 Positive10 (21%)38 (15%)
Tumour differentiation
 Well6 (13%)88 (34%)0.004
 Moderate/poor41 (87%)172 (66%)
Scar grade
 1/228 (60%)206 (79%)0.004
 3/419 (40%)54 (21%)
Nuclear atypia
 1/211 (23%)165 (63%)<0.001
 336 (77%)95 (37%)
Mitotic index
 1/232 (68%)228 (88%)<0.001
 315 (32%)32 (12%)

DLCO: diffusing capacity of the lung for carbon monoxide; FEV1.0: forced expiratory volume in 1 s; SD: standard deviation.

In addition, we demonstrated the analysis using the data of 450 patients with pN0 tumours. The tumours of the Low DLCO patients had a greater proportion of moderate/poor tumour differentiation (P = 0.007), scar grade 3/4 (P < 0.001), nuclear atypia 3 (P < 0.001) and mitotic index 3 (P < 0.001). After adjusting for the clinical variables (the DLCO status, FEV1.0 status, age, sex, smoking status and tumour size), the low DLCO status showed a marginal correlation with moderate/poor tumour differentiation [OR: 1.83 (95%CI: 0.90–3.93); P = 0.096] and a significant correlation with scar grade 3/4 [OR: 2.84 (95%CI: 1.36–5.80); P = 0.006], nuclear atypia 3 [OR: 3.99 (95%CI: 2.02–8.07); P < 0.001] and mitotic index 3 [OR: 3.06 (95%CI: 1.19–7.47); P = 0.021].

Overall survival and cancer-specific survival curves

The median follow-up period was 49 months (range: 2–123 months). The OS of the low-DLCO patients was significantly shorter than that of the normal-DLCO patients (5-year OS rates: 64% vs 87%; P < 0.001; Fig. 1A). The CSS of the low-DLCO patients was also significantly shorter than that of the normal-DLCO patients (5-year CSS rates: 75% vs 92%; P = 0.001; Fig. 1B).

The overall survival curves (A) and the cancer-specific survival curves (B) stratified by the diffusing capacity of the lung for carbon monoxide status.
Figure 1

The overall survival curves (A) and the cancer-specific survival curves (B) stratified by the diffusing capacity of the lung for carbon monoxide status.

Figure 2 shows the OS curves classified by tumour differentiation, scar grade, nuclear atypia and the mitotic index. These histopathological indexes were all significant factors for the OS on log-rank tests.

The overall curves classified by tumour differentiation (A), scar grade (B), nuclear atypia (C) and mitotic index (D).
Figure 2

The overall curves classified by tumour differentiation (A), scar grade (B), nuclear atypia (C) and mitotic index (D).

A multivariable Cox regression analysis of the histopathological indexes for the overall survival

Table 4 shows the results of a multivariable Cox regression analysis of the clinicopathological variables. Moderate/poor differentiation [HR: 2.16 (95% CI: 1.10–4.51); P = 0.024] and nuclear atypia Grade 3 [HR: 1.84 (95% CI: 1.06–3.21); P = 0.029] were found to be significant factors for the OS, while scar grade 3/4 [HR: 1.06 (95% CI: 0.63–1.74); P = 0.82] and mitotic index 3 [HR: 1.19 (95% CI: 0.62–2.21); P = 0.60] were not significant factors.

Table 4

The results of the multivariable Cox regression analysis

NumberNumber of deathsHR95% CIP-value
DLCO
 >80% of predicted466601.000.77, 2.52
0.26
 ≤80% of predicted57191.41
FEV1.0
 >80% of predicted479681.00
0.84, 3.450.12
 ≤80% of predicted44111.78
Age
 Ten-year increase523791.150.89, 1.52
0.28
Sex
 Female228181.001.63, 6.93
<0.001
 Male295613.33
Smoking status
 Never216201.000.25, 1.09
0.080
 Current or former307590.51
Tumour size
 One-cm increase523791.171.01, 1.32
0.034
Pathological N status
 N0450491.000.92, 2.900.093
 N1/273301.64
Lymphatic permeation
 Negative434421.001.39, 4.370.002
 Positive89372.47
Vascular invasion
 Negative462611.000.49, 1.630.75
 Positive61180.91
Tumour differentiation
 Well213121.001.10, 4.510.024
 Moderate/poor310672.16
Scar grade
 1/2419511.000.63, 1.740.82
 3/4104281.06
Nuclear atypia
 1/2348281.001.06, 3.210.029
 3175511.84
Mitotic index
 1/2470611.000.62, 2.210.60
 353181.19
NumberNumber of deathsHR95% CIP-value
DLCO
 >80% of predicted466601.000.77, 2.52
0.26
 ≤80% of predicted57191.41
FEV1.0
 >80% of predicted479681.00
0.84, 3.450.12
 ≤80% of predicted44111.78
Age
 Ten-year increase523791.150.89, 1.52
0.28
Sex
 Female228181.001.63, 6.93
<0.001
 Male295613.33
Smoking status
 Never216201.000.25, 1.09
0.080
 Current or former307590.51
Tumour size
 One-cm increase523791.171.01, 1.32
0.034
Pathological N status
 N0450491.000.92, 2.900.093
 N1/273301.64
Lymphatic permeation
 Negative434421.001.39, 4.370.002
 Positive89372.47
Vascular invasion
 Negative462611.000.49, 1.630.75
 Positive61180.91
Tumour differentiation
 Well213121.001.10, 4.510.024
 Moderate/poor310672.16
Scar grade
 1/2419511.000.63, 1.740.82
 3/4104281.06
Nuclear atypia
 1/2348281.001.06, 3.210.029
 3175511.84
Mitotic index
 1/2470611.000.62, 2.210.60
 353181.19

HR: hazard ratio; CI: confidence interval; DLCO: diffusing capacity of the lung for carbon monoxide; FEV1.0: forced expiratory volume in 1 s.

Table 4

The results of the multivariable Cox regression analysis

NumberNumber of deathsHR95% CIP-value
DLCO
 >80% of predicted466601.000.77, 2.52
0.26
 ≤80% of predicted57191.41
FEV1.0
 >80% of predicted479681.00
0.84, 3.450.12
 ≤80% of predicted44111.78
Age
 Ten-year increase523791.150.89, 1.52
0.28
Sex
 Female228181.001.63, 6.93
<0.001
 Male295613.33
Smoking status
 Never216201.000.25, 1.09
0.080
 Current or former307590.51
Tumour size
 One-cm increase523791.171.01, 1.32
0.034
Pathological N status
 N0450491.000.92, 2.900.093
 N1/273301.64
Lymphatic permeation
 Negative434421.001.39, 4.370.002
 Positive89372.47
Vascular invasion
 Negative462611.000.49, 1.630.75
 Positive61180.91
Tumour differentiation
 Well213121.001.10, 4.510.024
 Moderate/poor310672.16
Scar grade
 1/2419511.000.63, 1.740.82
 3/4104281.06
Nuclear atypia
 1/2348281.001.06, 3.210.029
 3175511.84
Mitotic index
 1/2470611.000.62, 2.210.60
 353181.19
NumberNumber of deathsHR95% CIP-value
DLCO
 >80% of predicted466601.000.77, 2.52
0.26
 ≤80% of predicted57191.41
FEV1.0
 >80% of predicted479681.00
0.84, 3.450.12
 ≤80% of predicted44111.78
Age
 Ten-year increase523791.150.89, 1.52
0.28
Sex
 Female228181.001.63, 6.93
<0.001
 Male295613.33
Smoking status
 Never216201.000.25, 1.09
0.080
 Current or former307590.51
Tumour size
 One-cm increase523791.171.01, 1.32
0.034
Pathological N status
 N0450491.000.92, 2.900.093
 N1/273301.64
Lymphatic permeation
 Negative434421.001.39, 4.370.002
 Positive89372.47
Vascular invasion
 Negative462611.000.49, 1.630.75
 Positive61180.91
Tumour differentiation
 Well213121.001.10, 4.510.024
 Moderate/poor310672.16
Scar grade
 1/2419511.000.63, 1.740.82
 3/4104281.06
Nuclear atypia
 1/2348281.001.06, 3.210.029
 3175511.84
Mitotic index
 1/2470611.000.62, 2.210.60
 353181.19

HR: hazard ratio; CI: confidence interval; DLCO: diffusing capacity of the lung for carbon monoxide; FEV1.0: forced expiratory volume in 1 s.

DISCUSSION

To our knowledge, this study is the first to elucidate the relationship between DLCO and the histopathological aggressiveness of lung adenocarcinoma. Furthermore, the prognostic value of tumour differentiation, scar grade, nuclear atypia and the mitotic index were investigated in a larger number of patients (limited to those with adenocarcinoma) than in previously published studies.

Several studies have referenced the influence of tumour differentiation, scar grade, nuclear atypia and the mitotic index of lung adenocarcinoma on the survival [9–14]. Shimizu et al. also reported the univariable prognostic impact of the histopathological indexes of tumour differentiation, scar grade, nuclear atypia and the mitotic index on the OS in 1074 patients with non-small-cell lung cancer [14]. In the present study, we performed a multivariable Cox regression analysis of 523 patients with lung adenocarcinoma, and our results suggest that tumour differentiation and nuclear atypia are the strongest prognostic factors predicting the OS.

To date, no detailed study has examined the relationship between the pulmonary function and histopathological aggressiveness of lung adenocarcinoma. In this study, we examined the relationship between the clinical variables (including DLCO and FEV1.0) and tumour aggressiveness using a multivariable logistic regression analysis (Table 2). The DLCO status and tumour size were found to be significantly correlated with all of the histopathological indexes, while sex and smoking status showed a limited correlation with the histopathological indices. The FEV1.0 status had no significant correlation with the histopathological indexes, which might mean that it did not exactly reflect the histocytological changes in the damaged lung. From the results above, we hypothesized that the difference in the condition of the lung (the DLCO status) is associated with the carcinogenesis and progression of lung adenocarcinoma.

Lung adenocarcinoma is considered to develop in a mostly linear multistep progressive manner: atypical adenomatous hyperplasia to adenocarcinoma in situ, followed by invasive adenocarcinoma. However, Yatabe et al. reported that lung adenocarcinoma can be considered as a subset of cancers that arise from different molecular pathways and that it is possible that not all lung adenocarcinomas show linear progression [19]. Several factors, including—but not limited to—the mutational status, smoking status, oestrogen and air pollution have been reported to be associated with carcinogenesis and the progression of lung adenocarcinoma [20–23]. Dacic et al. reported the correlation between the epidermal growth factor receptor mutational status and sex, smoking status and tumour differentiation, but showed no correlation with scarring and vascular–lymphatic invasion [20]. Maeshima et al. reported the correlation between smoking history and the degree of histopathological aggressiveness, including the scar grade [21]. They indicated the effects of smoking on carcinogenesis. We hypothesized that differences in the carcinogenesis associated with these factors might be responsible for the difference in the histopathological aggressiveness of lung adenocarcinoma. In this study, the DLCO status had a significant correlation with all of the histopathological indexes; however, the detailed mechanism underlying this phenomenon remains to be elucidated.

Limitations

Several limitations associated with the present study warrant mention. First, several pathologists made the pathological diagnosis, and the evaluation criteria of histopathological aggressiveness were not always consistent. Second, details regarding the genetic status, such as driver mutation status, were not available.

CONCLUSION

In conclusion, our findings regarding the relationships between DLCO and the histopathological indexes of lung adenocarcinoma suggest that damaged lung with low DLCO is associated with carcinogenesis and progression.

Conflict of interest: none declared.

REFERENCES

1

de-Torres
JP
,
Marín
JM
,
Casanova
C
,
Pinto-Plata
V
,
Divo
M
,
Cote
C
et al.
Identification of COPD patients at high risk for lung cancer mortality using the COPD-LUCSS-DLCO
.
Chest
2016
;
149
:
936
42
.

2

Salisbury
ML
,
Xia
M
,
Zhou
Y
,
Murray
S
,
Tayob
N
,
Brown
KK
et al.
Idiopathic pulmonary fibrosis: gender-age-physiology index stage for predicting future lung function decline
.
Chest
2016
;
149
:
491
8
.

3

Brunelli
A
,
Kim
AW
,
Berger
KI
,
Addrizzo-Harris
DJ.
Physiologic evaluation of the patient with lung cancer being considered for resectional surgery: diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines
.
Chest
2013
;
143(5 Suppl)
:
e166S
90S
.

4

Liptay
MJ
,
Basu
S
,
Hoaglin
MC
,
Freedman
N
,
Faber
LP
,
Warren
WH
et al.
Diffusion lung capacity for carbon monoxide (DLCO) is an independent prognostic factor for long-term survival after curative lung resection for cancer
.
J Surg Oncol
2009
;
100
:
703
7
.

5

Ferguson
MK
,
Dignam
JJ
,
Siddique
J
,
Vidneswaran
WT
,
Celauro
AD.
Diffusing capacity predicts long-term survival after lung resection for cancer
.
Eur J Cardiothorac Surg
2012
;
41
:
e81
6
.

6

Ferguson
MK
,
Watson
S
,
Johnson
E
,
Vigneswaran
WT.
Predicted postoperative lung function is associated with all-cause long-term mortality after major lung resection for cancer
.
Eur J Cardiothorac Surg
2014
;
45
:
660
4
.

7

Berry
MF
,
Jeffrey Yang
CF
,
Hartwig
MG
,
Tong
BC
,
Harpole
DH
,
D’Amico
TA
et al.
Impact of pulmonary function measurements on long-term survival after lobectomy for stage I non-small cell lung cancer
.
Ann Thorac Surg
2015
;
100
:
271
6
.

8

Ozeki
N
,
Kawaguchi
K
,
Okasaka
T
,
Fukui
T
,
Fukumoto
K
,
Nakamura
S
et al.
Marginal pulmonary function is associated with poor short- and long-term outcomes in lung cancer surgery
.
Nagoya J Med Sci
2017
;
79
:
37
42
.

9

Kurokawa
T
,
Matsuno
Y
,
Noguchi
M
,
Mizuno
S
,
Shimosato
Y.
Surgically curable ‘early’ adenocarcinoma in the periphery of the lung
.
Am J Surg Pathol
1994
;
18
:
431
8
.

10

Suzuki
K
,
Nagai
K
,
Yoshida
J
,
Nishimura
M
,
Takahashi
K
,
Yokose
T
et al.
Conventional clinicopathologic prognostic factors in surgically resected nonsmall cell lung carcinoma. A comparison of prognostic factors for each pathologic TNM stage based on multivariate analyses
.
Cancer
1999
;
86
:
1976
84
.

11

Maeshima
AM
,
Niki
T
,
Maeshima
A
,
Yamada
T
,
Kondo
H
,
Matsuno
Y.
Modified scar grade: a prognostic indicator in small peripheral lung adenocarcinoma
.
Cancer
2002
;
95
:
2546
54
.

12

Barletta
JA
,
Yeap
BY
,
Chirieac
LR.
Prognostic significance of grading in lung adenocarcinoma
.
Cancer
2010
;
116
:
659
69
.

13

Kadota
K
,
Suzuki
K
,
Kachala
SS
,
Zabor
EC
,
Sima
CS
,
Moreira
AL
et al.
A grading system combining architectural features and mitotic count predicts recurrence in stage I lung adenocarcinoma
.
Mod Pathol
2012
;
25
:
1117
27
.

14

Shimizu
K
,
Yoshida
J
,
Nagai
K
,
Nishimura
M
,
Ishii
G
,
Morishita
Y
et al.
Visceral pleural invasion is an invasive and aggressive indicator of non-small cell lung cancer
.
J Thorac Cardiovasc Surg
2005
;
130
:
160
5
.

15

Ozeki
N
,
Fukui
T
,
Taniguchi
T
,
Usami
N
,
Kawaguchi
K
,
Ito
S
et al.
Significance of the serum carcinoembryonic antigen level during the follow up of patients with completely resected non-small-cell lung cancer
.
Eur J Cardiothorac Surg
2014
;
45
:
687
92
.

16

Sobin
LH
,
Gospodarowicz
MK
,
Wittekind
C.
International Union Against Cancer (UICC) TNM Classification of Malignant Tumours
, 7th edn.
New York
:
Wiley
,
2009
.

17

Travis
WD
,
Brambilla
E
,
Burke
AP
,
Marx
A
,
Nicholson
AG
,
WHO Classification of Tumours of the Lung, Pleura, Thymus and Heart
.
Lyon, France
:
IARC Press
,
2015
.

18

Brunelli
A
,
Charloux
A
,
Bolliger
CT
,
Rocco
G
,
Sculier
JP
,
Varela
G
et al.
ERS/ESTS clinical guidelines on fitness for radical therapy in lung cancer patients (surgery and chemo-radiotherapy)
.
Eur Respir J
2009
;
34
:
17
41
.

19

Yatabe
Y
,
Borczuk
AC
,
Powell
CA.
Do all lung adenocarcinomas follow a stepwise progression?
Lung Cancer
2011
;
74
:
7
11
.

20

Dacic
S
,
Shuai
Y
,
Yousem
S
,
Ohori
P
,
Nikiforova
M.
Clinicopathological predictors of EGFR/KRAS mutational status in primary lung adenocarcinomas
.
Mod Pathol
2010
;
23
:
159
68
.

21

Maeshima
AM
,
Tochigi
N
,
Tsuta
K
,
Asamura
H
,
Matsuno
Y.
Histological evaluation of the effect of smoking on peripheral small adenocarcinomas of the lung
.
J Thorac Oncol
2008
;
3
:
698
703
.

22

Chen
F
,
Bina
WF
,
Cole
P.
Declining incidence rate of lung adenocarcinoma in the United States
.
Chest
2007
;
131
:
1000
5
.

23

Chen
KY
,
Hsiao
CF
,
Chang
GC
,
Tsai
YH
,
Su
WC
,
Chen
YM
et al.
Estrogen receptor gene polymorphisms and lung adenocarcinoma risk in never-smoking women
.
J Thorac Oncol
2015
;
10
:
1413
20
.

Author notes

Presented at the 24th European Conference on General Thoracic Surgery, Naples, Italy, 29 May–1 June, 2016.