Literature DB >> 30913875

Report of the Korean Association of Lung Cancer Registry (KALC-R), 2014.

Chang-Min Choi1,2, Ho Cheol Kim1, Chi Young Jung3, Deog Gon Cho4, Jae Hyun Jeon5, Jeong Eun Lee6, Jin Seok Ahn7, Seung Joon Kim8, Yeongdae Kim9, Yoo-Duk Choi10, Yang-Gun Suh11, Jung-Eun Kim12, Boram Lee12, Young-Joo Won12, Young-Chul Kim13,14.   

Abstract

PURPOSE: The aim of this study was to investigate epidemiology, clinical characteristics and sex differences of patients with lung cancer using nationwide registry in Korea.
MATERIALS AND METHODS: The Korean Association for Lung Cancer developed a registry in cooperation with the Korean Central Cancer Registry, and surveyed about 10% of lung cancer cases. For this first survey of cases diagnosed in 2014, cases were selected through a systematic sampling method.
RESULTS: Total 2,621 lung cancer patients were surveyed, and the median patient age was 70 years. During the study period, adenocarcinoma was the most frequent histologic type, the proportion of female patients was 28.4%, and women had a better prognosis (median survival, not reached vs. 13 months; p<0.001) than did men for non-small cell lung cancer. The proportion of never-smokers was 36.4%, and never-smoking was more prevalent in women than in men (87.5 vs. 16.0%, p<0.001). Epidermal growth factor receptor (EGFR) mutations were found in 36.8% of stage IV adenocarcinoma patients, and higher in female compared to male patients (51.2 vs. 26.6%, p<0.001). In addition, patients with EGFR mutation showed better survival (median survival, 18 vs. 8 months; p<0.001) than patients without EGFR mutation in these patients.
CONCLUSION: This is the first survey to gather unbiased nationwide lung cancer statistics in Korea. More than one-third of lung cancer patients had no smoking history. Female had a high proportion of non-smoker, more adenocarcinoma with EGFR mutation and generally better prognosis than male.

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Keywords:  Epidemiology; Epidermal growth factor receptor; Korea; Lung neoplasms; Never-smokers

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Year:  2019        PMID: 30913875      PMCID: PMC6790858          DOI: 10.4143/crt.2018.704

Source DB:  PubMed          Journal:  Cancer Res Treat        ISSN: 1598-2998            Impact factor:   4.679


Introduction

Lung cancer is a leading cause of cancer-related deaths worldwide, including in South Korea [1]. Although smoking is one of the most important risk factors for lung cancer, the proportion of never-smokers with lung cancer is generally higher in Asian than in Western populations [2,3]. In addition, mutations in the epidermal growth factor receptor (EGFR) gene, which could be used as a therapeutic target, are more frequent in Asian than in Western lung cancer patients [4]. The first nationwide lung cancer survey in South Korea, conducted by the Korean Academy of Tuberculosis and Respiratory Diseases in 1997 [5], found that squamous cell carcinoma was the most common histologic type. In contrast, the second nationwide lung cancer survey, conducted by the Korean Association for Lung Cancer in 2005 [6], found that adenocarcinoma was the leading histologic type and that lack of symptoms was associated with favorable outcomes. Generally, female sex is a favorable prognostic factor for lung cancer [7,8]. However, many of these studies were performed in limited groups of patients with specific conditions, such as non-small cell lung cancer (NSCLC) alone [9], or in those treated with certain modalities [10]. To build an unbiased and informative lung cancer registry, the Korean Association for Lung Cancer (KALC) developed a registry (KALC-R) in cooperation with the Korean Central Cancer Registry (KCCR), and surveyed about 10% of lung cancer cases. This study investigated epidemiology, clinical characteristics and sex differences in Korean lung cancer patients using data from the KALC-R of the year 2014.

Materials and Methods

1. Study populations and methods

In 2014, the KCCR registered 24,253 patients newly diagnosed with lung cancer. Among these patients, several patients were excluded with KCCR selection criteria (such as excluding patients who enrolled more than one institution), the total survey population was 21,960 patients. The final survey population comprised 13 regional cancer centers and 39 hospitals from which significant number of registrations were made. Sample size in each hospital (cluster) was determined by selection probability based on the number of registration in each hospital. And patients of each hospital were sorted by date of first diagnosis, sex, age, and Surveillance, Epidemiology, and End Results program (SEER) summary stage. Two thousand six hundred forty patients were selected from each of 52 hospitals using a systematic sampling method [11]. In a process of survey, 19 patients with multiple primary cancer were excluded. In conclusion, 2,621 patients were analyzed in this paper. A standardized protocol was used to collect data regarding patient age, sex, body mass index (BMI), smoking history, histopathologic tumor type, symptoms, performance status (PS), Eastern Corporative Oncology Group (ECOG) score, clinical stage (according to the seventh edition of the TNM International Staging System), treatment modality, results of molecular tests including EGFR mutation and anaplastic lymphoma kinase (ALK) translocation, and survival status. We defined ever-smokers those with any history of smoking prior to index lung cancer and never-smokers as those with no smoking history. Information such as BMI and PS was obtained in the initial date of visit at the time of diagnosis. Patie-nts were followed up until December 2017.

2. Statistical analysis

Continuous variables are expressed as mean±standard deviation (SD) or median (interquartile range [IQR]), and categorical variables as percentages. Continuous variables were compared using a Mann-Whitney U test, and categorical variables using chi-square or Fisher exact test, as appropriate. Risk factors for mortality were analyzed using Cox proportional hazards models. Variables with a p-value of < 0.20 on univariate analysis were used in the multivariate analysis. Survival was analyzed by the Kaplan-Meier method and compared by log-rank tests. All p-values were two-tailed, with statistical significance set at p < 0.05. All statistical analyses were performed using SPSS ver. 20.0 (IBM Corp., Armonk, NY).

3. Ethical statement

The study protocol was reviewed and approved by the Institutional Review Board at the National Cancer Center (NCC2018-0193), which waived the requirement for informed consent due to the retrospective nature of the study.

Results

1. Patient characteristics

A total of 2,621 lung cancer patients were enrolled at 52 sites in South Korea; there were no differences in sex and age category between survey population and sample (Table 1). Baseline characteristics of enrolled patients are shown in Table 2. The median patient age was 70 years (IQR, 61 to 76 years), 71.6% were men (lower than that in previous studies (79.3% in 1997 and 75.8% in 2005) and men were older than women (median age, 70 years vs. 68 years; p=0.002). Smoking history was significantly more frequent (84.0% vs. 12.5%, p < 0.001) and mean BMI was significantly lower (22.7 kg/m2 vs. 23.6 kg/m2, p < 0.001) in men than in women. Of all patients, 13.7% were asymptomatic at the time of diagnosis, with men being more likely to have symptoms such as cough, sputum, hoarseness, hemoptysis, and weight loss, than women. In case of histopathology, adenocarcinoma (48.4%) was the leading subtype in total patients. While adenocarcinoma was more common in woman (74.8% vs. 38.0%, p < 0.001) compared to male patients, squamous cell carcinoma and small cell carcinoma were more common in male patients.
Table 1.

Comparison of sex and age category between survey population and sample

Survey populationSamplep-value
No. of patients21,9602,621
Male sex15,500 (70.6)1,876 (71.6)0.291
Age category (yr) (total patients)
 < 40245 (1.1)29 (1.1)0.524
 40-50926 (4.2)121 (4.6)
 50-603,416 (15.6)424 (16.2)
 60-705,996 (27.3)734 (28.0)
 ≥ 7011,377 (51.8)1,313 (50.1)
Age category (yr) (male patient)
 < 40119 (0.8)15 (0.8)0.563
 40-50511 (3.3)72 (3.8)
 50-602,204 (14.2)283 (15.1)
 60-704,487 (29.0)542 (28.9)
 ≥ 708,179 (52.8)964 (51.4)
Age category (yr) (female patient)
 < 40126 (2.0)14 (1.9)0.617
 40-50415 (6.4)49 (6.6)
 50-601,212 (18.8)141 (18.9)
 60-701,509 (23.4)192 (25.8)
 ≥ 703,198 (49.5)349 (46.9)

Values are presented as number (%).

Table 2.

Baseline characteristics of study patients in the year 2014

TotalMenWomenp-value
No. of patients2,6211,876 (71.6)745 (28.4)
Age (yr)70 (61-76)70 (62-76)68 (58-75)0.002
Ever-smoker (n=2,580)1,641 (63.6)1,549 (84.0)92 (12.5)< 0.001
BMI (kg/m2)22.9±3.622.7±3.523.6±3.7< 0.001
Symptoms
 Asymptomatic360 (13.7)239 (12.7)121 (16.2)0.019
 Cough922 (35.2)689 (36.7)233 (31.3)0.008
 Sputum564 (21.5)446 (23.8)118 (15.8)< 0.001
 Dyspnea534 (20.4)380 (20.3)154 (20.7)0.812
 Hoarseness46 (1.8)40 (2.1)6 (0.8)0.020
 Hemoptysis157 (6.0)139 (7.4)18 (2.4)< 0.001
 Weight loss168 (6.4)136 (7.2)32 (4.3)0.005
 Pain512 (19.5)369 (19.7)143 (19.2)0.782
Histopathology
 Adenocarcinoma1,269 (48.4)712 (38.0)557 (74.8)< 0.001
 Squamous cell carcinoma654 (25.0)597 (31.8)57 (7.7)< 0.001
 Small cell carcinoma356 (13.6)303 (16.2)53 (7.1)< 0.001
 Others354 (13.5)272 (14.5)82 (11.0)0.019
Performance status (n=1,873)
 0-11,756 (93.8)1,235 (93.2)521 (95.1)0.129
 2-4117 (6.2)90 (6.8)27 (4.9)
Clinical stage of NSCLC (n=2,234)
 I634 (28.4)369 (23.8)265 (38.7)< 0.001
 II190 (8.5)146 (9.4)44 (6.4)
 III405 (18.1)331 (21.4)74 (10.8)
 IV1,005 (45.0)703 (45.4)302 (44.1)
Initial treatment of NSCLC (n=2,265)
 Surgery851 (37.6)536 (34.1)315 (45.5)< 0.001
  Surgery only563 (66.2)343 (64.0)220 (69.8)
  Surgery and adjuvant therapy288 (33.8)193 (36.0)95 (30.2)
 RT only188 (8.3)152 (9.7)36 (5.2)< 0.001
 CCRT96 (4.2)78 (5.0)18 (2.6)0.010
 Chemotherapy657 (29.0)456 (29.0)201 (29.0)0.978
 Best supportive care289 (12.8)222 (14.1)67 (9.7)0.004
 Unknown184 (8.1)129 (8.2)55 (7.9)0.839
Clinical stage of SCLC (n=350)
 Limited stage128 (36.6)109 (36.7)19 (35.8)0.906
 Extensive stage222 (63.4)188 (63.3)34 (64.2)
Initial treatment of SCLC (n=356)
 Surgery10 (2.8)9 (3.0)1 (1.9)1.000
 RT only17 (4.8)14 (4.6)3 (5.7)0.727
 CCRT55 (15.4)46 (15.2)9 (17.0)0.738
 Chemotherapy213 (59.8)186 (61.4)27 (50.9)0.153
 Best supportive care46 (12.9)36 (11.9)10 (18.9)0.162
 Unknown15 (4.2)12 (4.0)3 (5.7)0.570

Values are presented as median (interquartile range), number (%), or mean±standard deviation. BMI, body mass index; NSCLC, non-small cell lung cancer; RT, radiation therapy; CCRT, concurrent chemoradiation therapy; SCLC, small cell lung cancer.

Among patients with NSCLC, 28.4% had stage I, 8.5% had stage II, 18.1% had stage III, and 45.0% had stage IV disease. The proportion of patients with stage I NSCLC was higher in women (38.7%) than in men (23.8%), whereas the proportion of patients with stage IV tumors was similar (44.1% vs. 45.4%). Among patients with NSCLC, 37.6% of patients received surgery as the initial treatment, 29.0% were treated with chemotherapy, 8.3% received radiation therapy, and 12.8% received no specific anti-cancer treatment. Surgery was significantly more frequent in women than in men (45.5% vs. 34.1%, p < 0.001), whereas radiation therapy (5.2% vs. 9.7%, p < 0.001), concurrent chemoradiation therapy (2.6% vs. 5.0%, p=0.010), and best supportive care (9.7% vs. 14.1%, p=0.004) were significantly less frequent in women. Among patients with small cell lung cancer (SCLC), 36.6% had limited-stage and 63.4% had extensive-stage disease. Almost 60% of SCLC patients were treated with chemotherapy as the initial treatment, 15.4% received concurrent chemoradiation therapy, and 12.9% received no specific anticancer treatment. There were no sex-associated differences in clinical staging and initial treatment modalities in patients with SCLC.

2. Patient characteristics by smoking history

Among 2,580 patients with smoking history, 939 (36.4%) were never-smokers. The comparison of characteristics between ever-smokers and never-smokers is shown in Table 3. The never-smoker group had fewer men (31.5% vs. 94.4%, p < 0.001), and showed higher BMI (23.4 kg/m2 vs. 22.6 kg/m2, p < 0.001) compared with the ever-smoker group. In addition, the never-smoker group included more asymptomatic patients (16.7% vs. 12.2%, p=0.001), and had better PS than did the ever-smoker group (p=0.045). Among patients with NSCLC, the incidence of stage I disease was higher in never-smokers (36.8%) than in ever-smokers (23.3%), whereas that of stage IV disease was similar (45.5% vs. 44.2%). Among patients with SCLC, never-smokers had more extensive-stage disease than did ever-smokers (75.9% vs. 60.8%, p=0.030).
Table 3.

Comparison of characteristics between ever-smoker and never-smoker participants

TotalEver-smokerNever-smokerp-value
No. of patients2,5801,641 (63.6)939 (36.4)
Male sex1,845 (71.5)1,549 (94.4)296 (31.5)< 0.001
Age (yr)69 (61-76)70 (62-76)69 (59-76)0.055
BMI (kg/m2)22.9±3.522.6±3.523.4±3.6< 0.001
Symptoms
 Asymptomatic357 (13.8)200 (12.2)157 (16.7)0.001
 Cough913 (35.4)630 (38.4)283 (30.1)< 0.001
 Sputum557 (21.6)407 (24.8)150 (16.0)< 0.001
 Dyspnea527 (20.4)358 (21.8)169 (18.0)0.021
 Hoarseness46 (1.8)37 (2.3)9 (1.0)0.017
 Hemoptysis156 (6.0)129 (7.9)27 (2.9)< 0.001
 Weight loss167 (6.5)128 (7.8)39 (4.2)< 0.001
 Pain508 (19.7)326 (19.9)182 (19.4)0.766
Performance status (n=1,857)
 0-11,743 (93.9)1,091 (93.0)652 (95.3)0.045
 2-4114 (6.1)82 (7.0)32 (4.7)
Clinical stage of NSCLC (n=2,201)
 I631 (28.7)311 (23.3)320 (36.8)< 0.001
 II187 (8.5)127 (9.5)60 (6.9)
 III399 (18.1)305 (22.9)94 (10.8)
 IV984 (44.7)589 (44.2)395 (45.5)
Clinical stage of SCLC (n=344)
 Limited stage126 (36.6)112 (39.2)14 (24.1)0.030
 Extensive stage218 (63.4)174 (60.8)44 (75.9)

Values are presented as number (%), median (interquartile range), or mean±standard deviation. BMI, body mass index; NSCLC, non-small cell lung cancer; SCLC, small cell lung cancer.

Clinicopathologic characteristics of patients classified by sex and smoking habits are shown in Table 4. Of the 2,580 patients with available smoking history, 43.3% smoked over 30 pack-years, 20.3% smoked less than 30 pack-years, and 36.4% were never-smokers. The proportions of women in these three groups were 2.8%, 11.6%, and 68.5%, respectively. There were no sex-associated differences in clinicopathologic characteristics of patients who ever-smoked. However, assessments of never-smokers showed that women were younger (median, 68 years vs. 71 years; p=0.003), were more likely to have adenocarcinoma histology (79.9% vs. 56.1%), and had an earlier NSCLC clinical stage than did men.
Table 4.

Clinicopathologic characteristics of patients according to smoking frequency, stratified by sex (total=2,580)

Ever-smoker (≥ 30 pack years, n=1,116, 43.3%)
Ever-smoker (< 30 pack years, n=525, 20.3%)
Never-smoker (n=939, 36.4%)
MenWomenp-valueMenWomenp-valueMenWomenp-value
No. of patients1,085 (97.2)31 (2.8)464 (88.4)61 (11.6)296 (31.5)643 (68.5)
Age (yr)70 (63-75)71 (64-82)0.37870 (59-76)68 (58-78)0.81771 (63-77)68 (58-75)0.003
Age category (yr)
 0-5019 (1.8)2 (6.5)0.02748 (10.3)6 (9.8)0.81620 (6.8)55 (8.6)0.086
 50-60169 (15.6)3 (9.7)74 (15.9)12 (19.7)38 (12.8)125 (19.4)
 60-70342 (31.5)10 (32.3)110 (23.7)13 (21.3)82 (27.7)168 (26.1)
 70-80431 (39.7)8 (25.8)167 (36.0)19 (31.1)115 (38.9)221 (34.4)
 ≥ 80124 (11.4)8 (25.8)65 (14.0)11 (18.0)41 (13.9)74 (11.5)
Performance status
 0-1727 (67.0)18 (58.1)0.106302 (65.1)44 (72.1)0.356194 (65.5)464 (71.2)0.172
 2-451 (4.7)4 (12.9)23 (5.0)4 (6.6)13 (4.4)19 (3.0)
 Unknown306 (28.3)9 (29.0)139 (30.0)13 (21.3)89 (30.1)166 (25.8)
Histology
 Adenocarcinoma329 (30.3)7 (22.6)0.349204 (44.4)29 (47.5)0.109166 (56.1)514 (79.9)< 0.001
 Squamous cell carcinoma387 (35.7)11 (35.5)134 (28.9)16 (26.2)64 (21.6)27 (4.2)
 Small cell lung cancer216 (19.9)10 (32.3)54 (11.6)12 (19.7)28 (9.5)30 (4.7)
 Others153 (14.1)3 (9.7)72 (15.5)4 (6.6)38 (12.8)72 (11.2)
NSCLC stage
 I189 (21.7)7 (33.3)0.752103 (25.1)12 (24.5)0.69875 (28.0)245 (40.0)0.006
 II98 (11.3)2 (9.5)23 (5.6)4 (8.2)22 (8.2)38 (6.2)
 III213 (24.5)4 (19.0)76 (18.5)12 (24.5)36 (13.4)58 (9.5)
 IV356 (41.0)8 (38.1)204 (49.8)21 (42.9)129 (48.1)266 (43.4)
 Unknown13 (1.5)04 (1.0)06 (2.2)6 (1.0)
SCLC
 Limited87 (40.3)4 (40.0)0.90814 (25.9)7 (58.3)0.0857 (25.0)7 (23.3)0.882
 Extensive125 (57.9)6 (60.0)38 (70.4)5 (41.7)21 (75.0)23 (76.7)
 Unknown4 (1.9)02 (3.7)000

Values are presented as number (%) or median (interquartile range). NSCLC, non-small cell lung cancer; SCLC, small cell lung cancer.

3. Prognostic factor and survival analysis

The 2,265 NSCLC patients were followed up for a median of 17 months (IQR, 5 to 32 months), during which 1,321 patients (58.3%) died. Univariate Cox analysis showed that old age, male sex, ever-smoker status, low BMI, poor PS, higher clinical stage, squamous cell carcinoma histology (compared with adenocarcinoma), and non-surgical therapy or best supportive care (compared with surgery) were significant predictors of mortality. On multivariate Cox analysis, these clinical variables, except for ever-smoker and squamous cell carcinoma histology, remained significant prognostic factors (Table 5). Among NSCLC patients, median survival was significantly longer for women than for men (not reached vs. 13 months, p < 0.001) (Fig. 1A) and survival significantly differed with clinical stage at diagnosis (Fig. 1B).
Table 5.

Risk factors for mortality in patients with NSCLC assessed by Cox proportional hazards model

Univariate analysis
Multivariate analysis
Hazard ratio95% CIp-valueHazard ratio95% CIp-value
Age1.0361.028-1.043< 0.0011.0201.012-1.028< 0.001
Male sex2.1121.788-2.494< 0.0011.7041.326-2.182< 0.001
Ever-smoker1.7721.572-2.056< 0.0011.0380.829-1.2980.747
BMI0.8950.876-0.915< 0.0010.9540.930-0.979< 0.001
Performance status
 0-1 (ref)1.0001.000
 2-43.1662.453-4.085< 0.0011.4101.012-1.9640.042
Clinical stage
 I (ref)1.0001.000
 II3.5392.406-5.203< 0.0012.4941.602-3.881< 0.001
 III7.9465.883-10.734< 0.0014.1412.854-6.007< 0.001
 IV13.63410.330-17.994< 0.0016.9724.861-9.999< 0.001
Histology
 Adenocarcinoma (ref)1.0001.000
 Squamous cell carcinoma1.8331.575-2.133< 0.0011.1870.994-1.4300.053
Treatment
 Surgery (ref)1.0001.000
 Non-surgical treatment6.5165.364-7.916< 0.0012.2141.711-2.864< 0.001
 Best supportive care15.73312.044-20.552< 0.0014.9543.495-7.021< 0.001

NSCLC, non-small cell lung cancer; CI, confidence interval; BMI, body mass index.

Fig. 1.

Overall survival in patients with non-small cell lung cancer, according to sex (A) and clinical stage (B). Overall survival in patients with small cell lung cancer, according to sex (C) and clinical stage (D).

The 356 SCLC patients were followed up for a median of 8 months (IQR, 2 to 16 months), during which 306 patients (86.0%) died. Univariate and multivariate Cox analyses showed that older age, lower BMI, poor PS, extensive stage, and best supportive care were significant predictors of mortality (Table 6). Although ever-smoker seemed to be a favorable prognostic factor on univariate analysis, ever-smokers were younger and tended to have a more limited stage than did never-smokers (S1 Table). Although median survival was similar in men and women with SCLC (8 months vs. 8 months, p=0.785) (Fig. 1C), survival significantly differed with clinical stage at diagnosis (Fig. 1D).
Table 6.

Risk factors for mortality in patients with small cell lung cancer assessed using Cox proportional hazards models

Univariate analysis
Multivariate analysis
Hazard ratio95% CIp-valueHazard ratio95% CIp-value
Age1.0421.028-1.057< 0.0011.0361.019-1.054< 0.001
Male sex1.0450.754-1.4480.793
Ever-smoker0.7050.518-0.9590.0260.8670.588-1.2800.473
BMI0.9100.877-0.945< 0.0010.9380.901-0.9770.002
Performance status
 0-1 (ref)1.0001.000
 2-43.1061.947-4.955< 0.0012.4361.379-4.3050.002
Clinical stage
 Limited (ref)1.0001.000
 Extensive2.2621.762-2.903< 0.0012.3311.719-3.160< 0.001
Treatment
 Anti-cancer treatment (ref)1.0001.000
 Best supportive care4.9253.514-6.904< 0.0012.1731.320-3.5760.002

CI, confidence interval; BMI, body mass index.

4. Molecular profile and survival analysis among patients with adenocarcinoma in the year 2014

Of the 571 patients diagnosed with stage IV adenocarcinoma, 339 (59.4%) were men (Table 7). EGFR mutations were analyzed in 496 (86.9%) patients, and 182 patients (36.8%) had mutations. Although mutation frequency was significantly higher in women than in men (51.2% vs. 26.6%, p < 0.001), the proportion of mutation-positive men and women treated with a targeted agent did not differ. ALK translocation was analyzed in 109 patients and 15 patients (13.8%) showed ALK translocation. Although translocation frequency was not different among women and men (15.7% vs. 12.1%, p=0.584), the proportion treated with a targeted agent was higher in women than in men (75.0% vs. 14.3%, p=0.041).
Table 7.

Characteristics of patients with stage IV adenocarcinoma

TotalMenWomenp-value
No. of patients571339 (59.4)232 (40.6)
Age (yr)68 (58-76)67 (58-74)70 (57-76)0.168
Ever-smoker(n=561)272 (48.5)255 (76.3)17 (7.5)< 0.001
BMI (kg/m2)22.6±3.322.4±3.322.9±3.30.060
Performance status (n=414)
 0-1386 (93.2)227 (92.3)159 (94.6)0.346
 2-428 (6.8)19 (7.7)9 (5.4)
EGFR mutation status (n=496)
 Positive182 (36.8)77 (26.6)105 (51.2)< 0.001
 Negative313 (63.2)213 (73.4)100 (48.8)
EGFR target agent usage
 Yes122 (67.0)48 (62.3)74 (70.5)0.249
 No60 (33.0)29 (37.7)31 (29.5)
ALK translocation status (n=109)
 Positive15 (13.8)7 (12.1)8 (15.7)0.584
 Negative94 (86.2)51 (87.9)43 (84.3)
ALK target agent usage
 Yes7 (46.7)1 (14.3)6 (75.0)0.041
 No8 (53.3)6 (85.7)2 (25.0)

Values are presented as median (interquartile range), number (%), or mean±standard deviation. BMI, body mass index; EGFR, epidermal growth factor receptor; ALK, anaplastic lymphoma kinase.

Patients with stage IV adenocarcinoma were followed up for a median of 10 months (IQR, 3 to 23 months), during which 437 patients (76.5%) died. On univariate Cox analysis, older age, male sex, ever-smoker status, lower BMI, and poor PS were associated with mortality, and target driver mutation (EGFR mutation and/or ALK translocation) was associated with a favorable outcome. On multivariate Cox analysis, old age, low BMI, poor PS, and target driver mutation remained significant independent predictors of mortality (S2 Table). Women had improved survival (median 15 vs. 8 months, p < 0.001) (Fig. 2A) compared to men in patients with stage IV adenocarcinoma. In addition, patients who harbored EGFR mutations showed better prognosis (18 months vs. 8 months, p < 0.001) (Fig. 2B) than did patients without EGFR mutations. Among patients with stage IV adenocarcinoma and EGFR mutations, patients treated with a target agent showed better prognosis (21 months vs. 13 months, p=0.027) than those who were not treated.
Fig. 2.

Overall survival in patients with stage IV adenocarcinoma, according to sex (A) and epidermal growth factor receptor (EGFR) mutation (B).

Discussion

Relative to patients of other ethnicities, Asians with lung cancer have generally been reported to have a lower prevalence of smoking and a higher prevalence of tumor-associated EGFR mutations; these factors may be responsible for the more favorable prognosis in Asians [12]. Our nationwide survey, showing the clinical characteristics of lung cancer in South Korea, yielded results comparable to those in other studies of Asian patients. In contrast to prior nationwide surveys in Korea, which was conducted by academic societies, this is the first unbiased statistic data of Korean nationwide lung cancer survey. Unbiased and reliable epidemiological data are important to identify time trends in diseases and to establish government policy. Although two previous nationwide surveys were performed in South Korea, potential selection bias could not be ruled out during registration of cases at the individual hospital level. Since all patients with confirmed disease codes of C34 are registered in the KCCR, KCCR data have the advantage of including nearly all lung cancer patients without selection bias. The KALC and KCCR have formulated a lung cancer-specific registration system (KALC-R), which has about 80 data fields for demographic data, symptoms, smoking history, histological findings, staging data, molecular study results, and initial treatment details [13]. Recently, our group reported on a pilot survey of 489 patients diagnosed with lung cancer in 2013 [14]; the demographic characteristics were comparable with those from other studies based on the nationwide registry [15,16]. In the current study, among 24,253 newly diagnosed lung cancer patients, about 10% were surveyed from 52 hospitals by a systematic sampling method, which helped eliminate potential bias in sample selection. The epidemiology of lung cancer in South Korea have changed over time, major recent changes in epidemiology are summarized in S3 Fig. Compared to previous registry-based studies, the incidence of adenocarcinoma increased over the study period in both men and women. In 1997, although the most frequent histological type was squamous cell carcinoma (44.7%), adenocarcinoma incidence has increased over time, and has been the most incident histologic type since 2005. This observation may be explained by changes in cigarette components as well as by risk factors not related to smoking such as occupational risk and air pollution [17]. In addition to changes in histologic type prevalence, the development of screening methods such as low-dose chest computed tomography have led to an increased incidence of asymptomatic, early, and peripherally located cancers [18]. Thus, percutaneous lung biopsy has been most commonly performed for tissue confirmation. Additionally, the frequent use of positron emission tomography with computed tomography (PET-CT) has resulted in increased proportions of patients with stage IV lung cancer. Moreover, the use of PET-CT has made evaluation and characterization of the mediastinal lymph node more feasible; the endobronchial ultrasound-guided transbronchial needle aspiration has gained popularity and is an important diagnostic tool, especially in clinically evident N2 NSCLC [19]. Although smoking is one of the most important causes of lung cancer, the prevalence of cigarette smoking is decreasing in Korea, according to the Korea National Health and Nutrition Examination Survey [20]. In addition, the magnitude of the effect of smoking on lung cancer is smaller in Asian than in Western populations, a phenomenon termed the smoking paradox [21]. Asians are generally older at smoking initiation than are Westerners, and prefer less toxic or filtered tobacco. In contrast, the incidence of lung cancer among never-smokers is higher in Asian populations [2]. Genetic differences such as higher EGFR gene mutation rates in Asian populations and poor ventilation combined with the use of coal may explain these findings [22]. Indeed, about 87.5% of women patients in this survey had no smoking history. Additional studies are required to determine the potential risk factors for lung cancer in never-smokers. Compared with previous registry-based studies, the incidence of lung cancer in women was higher in this study. Among patients with NSCLC, women had more favorable outcomes than did men, in agreement with previous studies showing better survival outcomes in women than in men with lung cancer [9,23]. Generally, women are diagnosed with lung cancer at a younger age and include a higher percentage of non-smokers, and both these factors are associated with more favorable outcomes. These differences may partly be due to differences in genetic background and hormonal status [24], which affect susceptibility to carcinogens. In addition, because women are more likely to have adenocarcinoma primarily located peripherally [25], the impact of early diagnosis on survival may be greater in women than in men. EGFR mutations are more frequent in women than in men [26], which may contribute to survival advantages. Treatment with targeted agents has been associated with favorable outcomes in patients positive for EGFR mutations and may contribute to the sex differences in survival [27]. However, sex was not associated with survival in patients with SCLC, in contrast to findings from studies in Western populations [28,29]. Among the 356 SCLC patients, only 53 (14.9%) were women. Although sex was not a prognostic factor with statistical significance in this small group of SCLC patients, additional studies in larger populations are needed to confirm this finding. Among patients with stage IV adenocarcinoma and tested for EGFR mutation, 36.8% were positive for EGFR mutations. EGFR mutations were more common in women than in men, similar to the findings of previous studies in Asian populations [4]. Generally, compared to Western populations, Asians show higher EGFR mutation rates; this may contribute to the more favorable clinical outcomes observed in Asians [30]. The present study found that target driver mutations including EGFR mutations were significant prognostic factors, even after adjusting for other clinical variables. Although EGFR tyrosine kinase inhibitors have shown efficacy [27], EGFR mutation tests were not performed in all of our patients, though it is possible that test data were not provided during this survey for some cases. However, physicians should be aware of the need to test for EGFR mutations in all patients with advanced adenocarcinoma. This study had several limitations. First, the retrospective study design resulted in an unavoidable deficiency of information such as second-hand smoking status and risk factors other than smoking. However, the strength of the study lies in the unbiased sampling method used to sample a representative population of patients with lung cancer. Second, disease-free survival and progression-free survival rates, as well as complete treatment modalities, could not be analyzed. However, overall survival rate is an acceptable, clear-cut, and important primary outcome. Finally, although the number of patients in this study was relatively large, it was not adequate to perform meaningful comparisons within subgroups with specific conditions. However, we believe that the present study will help in understanding the current trends in the epidemiology of lung cancer and may serve as a reference for future studies. In conclusion, the evaluation of this unbiased nationwide survey dataset revealed female had a high proportion of non-smoker, more adenocarcinoma with EGFR mutation and generally better prognosis than male. And more than one-third of lung cancer patients had no smoking history. The results of this study show that the development of more effective early lung cancer screening and health insurance programs for lung cancer are indicated.
  29 in total

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Journal:  J Natl Cancer Inst       Date:  2000-01-05       Impact factor: 13.506

2.  Survival differences by gender for resected non-small cell lung cancer: a retrospective analysis of 12,509 cases in a Japanese Lung Cancer Registry study.

Authors:  Hiroyuki Sakurai; Hisao Asamura; Tomoyuki Goya; Kenji Eguchi; Yoichi Nakanishi; Noriyoshi Sawabata; Meinoshin Okumura; Etsuo Miyaoka; Yoshitaka Fujii
Journal:  J Thorac Oncol       Date:  2010-10       Impact factor: 15.609

3.  Lung cancer in women: sex-associated differences in survival of patients undergoing resection for lung cancer.

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Journal:  Chest       Date:  2000-12       Impact factor: 9.410

4.  Characteristics of lung cancer in Korea, 1997.

Authors:  C Lee; K H Kang; Y Koh; J Chang; H S Chung; S K Park; K Yoo; J S Song
Journal:  Lung Cancer       Date:  2000-10       Impact factor: 5.705

Review 5.  An official European Respiratory Society/American Thoracic Society technical standard: field walking tests in chronic respiratory disease.

Authors:  Anne E Holland; Martijn A Spruit; Thierry Troosters; Milo A Puhan; Véronique Pepin; Didier Saey; Meredith C McCormack; Brian W Carlin; Frank C Sciurba; Fabio Pitta; Jack Wanger; Neil MacIntyre; David A Kaminsky; Bruce H Culver; Susan M Revill; Nidia A Hernandes; Vasileios Andrianopoulos; Carlos Augusto Camillo; Katy E Mitchell; Annemarie L Lee; Catherine J Hill; Sally J Singh
Journal:  Eur Respir J       Date:  2014-10-30       Impact factor: 16.671

6.  Sex-associated differences in presentation and survival in patients with lung cancer.

Authors:  M K Ferguson; C Skosey; P C Hoffman; H M Golomb
Journal:  J Clin Oncol       Date:  1990-08       Impact factor: 44.544

7.  Lung cancer incidence in never smokers.

Authors:  Heather A Wakelee; Ellen T Chang; Scarlett L Gomez; Theresa H Keegan; Diane Feskanich; Christina A Clarke; Lars Holmberg; Lee C Yong; Laurence N Kolonel; Michael K Gould; Dee W West
Journal:  J Clin Oncol       Date:  2007-02-10       Impact factor: 44.544

8.  Results of initial low-dose computed tomographic screening for lung cancer.

Authors:  Timothy R Church; William C Black; Denise R Aberle; Christine D Berg; Kathy L Clingan; Fenghai Duan; Richard M Fagerstrom; Ilana F Gareen; David S Gierada; Gordon C Jones; Irene Mahon; Pamela M Marcus; JoRean D Sicks; Amanda Jain; Sarah Baum
Journal:  N Engl J Med       Date:  2013-05-23       Impact factor: 91.245

9.  Proportion and clinical features of never-smokers with non-small cell lung cancer.

Authors:  Jaeyoung Cho; Sun Mi Choi; Jinwoo Lee; Chang-Hoon Lee; Sang-Min Lee; Dong-Wan Kim; Jae-Joon Yim; Young Tae Kim; Chul-Gyu Yoo; Young Whan Kim; Sung Koo Han; Young Sik Park
Journal:  Chin J Cancer       Date:  2017-02-08

10.  Cancer Statistics in Korea: Incidence, Mortality, Survival, and Prevalence in 2015.

Authors:  Kyu-Won Jung; Young-Joo Won; Hyun-Joo Kong; Eun Sook Lee
Journal:  Cancer Res Treat       Date:  2018-03-21       Impact factor: 4.679

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  25 in total

1.  Characteristics of female lung cancer in Korea: analysis of Korean National Lung Cancer Registry.

Authors:  Jeong Uk Lim; Solji Han; Ho Cheol Kim; Chang Min Choi; Chi Young Jung; Deog Gon Cho; Jae Hyun Jeon; Jeong Eun Lee; Jin Seok Ahn; Yeongdae Kim; Yoo-Duk Choi; Yang-Gun Suh; Jung-Eun Kim; Young-Joo Won; Young-Chul Kim; Chan Kwon Park; Seung Joon Kim
Journal:  J Thorac Dis       Date:  2020-09       Impact factor: 2.895

2.  Efficacy and dose of afatinib in patients with non-small cell lung cancer after failure of prior gefitinib or erlotinib treatment.

Authors:  Hayoung Choi; Jae-Kyeong Lee; Hyung-Joo Oh; Min-Seok Kim; Bo Gun Kho; Cheol Kyu Park; In-Jae Oh; Young-Chul Kim
Journal:  Thorac Cancer       Date:  2021-04-03       Impact factor: 3.500

Review 3.  Molecular biomarker testing for non-small cell lung cancer: consensus statement of the Korean Cardiopulmonary Pathology Study Group.

Authors:  Sunhee Chang; Hyo Sup Shim; Tae Jung Kim; Yoon-La Choi; Wan Seop Kim; Dong Hoon Shin; Lucia Kim; Heae Surng Park; Geon Kook Lee; Chang Hun Lee
Journal:  J Pathol Transl Med       Date:  2021-05-11

4.  Association between clinical outcomes and local treatment in stage IV non-small cell lung cancer patients with single extrathoracic metastasis.

Authors:  Jeong Uk Lim; Hye Seon Kang; Ah Young Shin; Chang Dong Yeo; Chan Kwon Park; Sang Haak Lee; Seung Joon Kim
Journal:  Thorac Cancer       Date:  2022-03-31       Impact factor: 3.223

5.  Screening for Lung Cancer Using Low-dose Chest Computed Tomography in Korean Long-term Colorectal Cancer Survivors.

Authors:  Ji Soo Park; Beodeul Kang; Yehyun Park; Soo Jung Park; Jae Hee Cheon; Minkyu Jung; Seung Hoon Beom; Sang Joon Shin; Hyuk Hur; Byung Soh Min; Seung Hyuk Baik; Kang Young Lee; Joong Bae Ahn; Nam Kyu Kim; Tae Il Kim
Journal:  J Cancer Prev       Date:  2019-03-30

6.  Detection of Targetable Genetic Alterations in Korean Lung Cancer Patients: A Comparison Study of Single-Gene Assays and Targeted Next-Generation Sequencing.

Authors:  Eunhyang Park; Hyo Sup Shim
Journal:  Cancer Res Treat       Date:  2019-11-08       Impact factor: 4.679

7.  Multiple genome pattern analysis and signature gene identification for the Caucasian lung adenocarcinoma patients with different tobacco exposure patterns.

Authors:  Yan-Mei Dong; Li-da Qin; Yi-Fan Tong; Qi-En He; Ling Wang; Kai Song
Journal:  PeerJ       Date:  2020-01-30       Impact factor: 2.984

8.  Efficacy of immune checkpoint inhibitors according to PD-L1 tumor proportion scores in non-small cell lung cancer.

Authors:  Seongho Park; Yoo-Duk Choi; Jieun Kim; Bo-Gun Kho; Cheol-Kyu Park; In-Jae Oh; Young-Chul Kim
Journal:  Thorac Cancer       Date:  2019-12-16       Impact factor: 3.500

9.  Genetic Alterations in Preinvasive Lung Synchronous Lesions.

Authors:  Soyeon Ahn; Jisun Lim; Soo Young Park; Hyojin Kim; Hyun Jung Kwon; Yeon Bi Han; Choon-Taek Lee; Sukki Cho; Jin-Haeng Chung
Journal:  Cancer Res Treat       Date:  2020-06-05       Impact factor: 4.679

10.  Different prognostic implications of hepatic metastasis according to front-line treatment in non-small cell lung cancer: a real-world retrospective study.

Authors:  Myeong Geun Choi; Chang-Min Choi; Dae Ho Lee; Sang-We Kim; Shinkyo Yoon; Woo Sung Kim; Wonjun Ji; Jae Cheol Lee
Journal:  Transl Lung Cancer Res       Date:  2021-06
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