Literature DB >> 28203086

Clinical investigation into the initial diagnosis and treatment of 539 patients with stage IV lung cancer.

Qian Shao1, Shanshan Liu1, Wei Wang1, Yingjie Zhang1, Fengxiang Li1, Jianbin Li1.   

Abstract

OBJECTIVE: The aim of the study was to analyze clinical data, including the types of pathologic classification, metastatic organs, treatment strategy, and prognosis of patients with stage IV lung cancer.
METHODS: A retrospective analysis of the clinical features of 539 patients with stage IV lung cancer who were initially diagnosed and treated in 2009 was conducted. There were 146 cases of single organ metastases and 393 cases of multiple organ metastases. The Kaplan-Meier method and multivariate Cox regression analysis were performed to analyze the influence of age, pathological classification, metastatic organs, and treatment strategy on overall survival.
RESULTS: The 1-, 2-, and 3-year survival rates were 64.2% (n=346), 19.7% (n=106), and 1.5% (n=8), respectively. Metastases to the liver and pleura predicted poor prognosis, although bone metastases predicted relatively good prognosis. The prognosis of single brain metastasis was relatively better than that of multiple brain metastases. Multi-factor analysis showed that the patient's age, different metastatic organs, the numbers of metastatic organs, and different treatment were independent risk factors for survival.
CONCLUSION: The prognosis for patients with stage IV lung cancer is poor. Patient's age, the type and number of metastatic organs, and method of treatment are the main factors affecting survival.

Entities:  

Keywords:  carcinoma/lung; clinical analysis; diagnosis; prognosis; therapy

Year:  2017        PMID: 28203086      PMCID: PMC5293499          DOI: 10.2147/OTT.S125108

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Lung cancer has the highest morbidity and mortality rate of all malignant tumors, and is the most commonly occurring malignancy.1–4 Because there are no obvious or specific symptoms or signs at early stages, the initial diagnosis and treatment of patients at early stages accounted for only 11.2%.1 Although physical examinations can identify lung cancer as soon as symptoms appear, lung cancer is, generally, diagnosed in the advanced stages, at which point prognosis is poor and the likelihood of a cure is lost. The 5-year survival rate from lung cancer is reportedly <15%.4 This study analyzed the clinical characteristics and survival-related factors of 539 patients with stage IV lung cancer diagnosed and treated for the first time in our hospital from 2009-01-01 to 2009-12-31.

Materials and methods

Inclusion criteria

1) Primary lung lesions were diagnosed by pathology and/or cytology, 2) clinical examinations were comprehensive, including brain magnetic resonance imaging (MRI) or computed tomography (CT), enhanced chest and abdomen CT scan, systemic radionuclide bone imaging (if there were abnormal radionuclide concentration foci, MRI, CT, or X-ray examination was added), or systemic Positron emission tomography-CT to make the extent of the tumor clear, and clinical staging according to the seventh edition of tumor staging guidelines formulated by the American Joint Committee on Cancer,5 3) first diagnosed and treated (or untreated) in our hospital, without treatment in another hospital, and, 4) cases of reexamination were excluded. Written informed consent was obtained from all patients, and the institutional research ethics board of Shandong Cancer Hospital approved this study (No SDTHEC201503048).

General clinical data

Data were collected from 539 patients with stage IV lung cancer who were admitted to our hospital from 2009-01-01 to 2009-12-31. Patients with no pathologic or cytologic diagnosis and incomplete data were excluded. The median duration of patients’ delay to see a doctor was as follows: 1) the shortest delay was 3 days, 2) the longest delay was 24 months, 3) the average delay was 2.36 months, and 4) the median delay was 2 months. Table 1 displays the clinical data.
Table 1

Patient clinical information

ParametersPatients, n (%)
Sex
Male351 (65.1)
Female188 (34.9)
Age (years)
Range19–88
Mean age58.51
Male58.59
Female57.66
Median age59
Male59
Female58
Dividing line
<60 years282 (52.3)
>60 years257 (47.7)
Pathology or cytology539
Adenocarcinoma377 (69.9)
Squamous carcinoma95 (17.6)
Small cell carcinoma50 (9.3)
Large cell carcinoma9 (1.7)
Adenosquamous carcinoma5 (0.9)
Carcinoid tumor2 (0.4)
Sarcomatoid carcinoma1 (0.2)
Clinical symptoms
Cough43 (8.0)
Chest pain58 (10.8)
Dyspnea98 (18.2)
Cough, sputum112 (20.8)
Cough, blood in phlegm19 (3.5)
Cough, sputum, chest tightness4 (0.7)
Cough, sputum, chest pain7 (1.3)
Cough, sputum, dyspnea22 (4.1)
Cough, sputum, fever4 (0.7)
Cough, sputum, symptoms occurring outside of the lung20 (3.7)
Symptoms occurring outside of the lung139 (25.8)
 Headache and ostalgia13 (2.4)
Single organ metastasis393
Pleura112 (28.5)
Brain100 (25.4)
Bone78 (19.8)
Lung60 (15.3)
Liver29 (7.4)
Adrenal gland14 (3.6)

Treatment methods

The main treatment methods were chemotherapy, radiotherapy, surgical treatment, targeted treatment, and combination therapy. There were 275 cases (51.0%) adopting radiotherapy and chemotherapy, 117 cases (21.7%) receiving chemotherapy, and 70 cases (13.0%) with no treatment (Table 2).
Table 2

Treatment methods

Treatment methodPatients, n (%)
Chemotherapy117 (21.7)
Radiotherapy11 (2.0)
Chemoradiotherapy275 (51.0)
Chemoradiotherapy + targeted therapy19 (3.5)
Chemotherapy + targeted therapy26 (4.8)
Radiotherapy + targeted therapy4 (0.7)
Surgery + chemotherapy3 (0.6)
Surgery + chemoradiotherapy9 (1.7)
Targeted therapy5 (0.9)
Untreated70 (13.0)

Follow-up

Up to 2012-12-31, 79 patients were lost to follow-up. The follow-up rate was 85.3%. The follow-up time was 1–38 months. The mean follow-up time was 16.1 months and the median follow-up time was 16 months. The follow-up of surviving patients is ongoing.

Statistical methods

Statistical analysis was performed using SPSS software (version 17; SPSS, Inc., Chicago, IL, USA). Student’s t-test was utilized to compare the means of two samples. The χ2 test was used for all other comparisons. Univariate survival analysis was conducted using Kaplan-Meier analysis and the log-rank test. The significance level was α=0.05.

Results

Survival situation

Up to 2012-12-31, the follow-up rate was 85.3% (460/539). The 1, 2, and 3-year survival rates were 64.2% (n=346), 19.7% (n=106), and 1.5% (n=8), respectively.

Comparison of survival of patients with single organ metastasis

Survival for the 393 patients with different single organ metastases is as follows: pleura (n=112; 28.5%), brain (n=100; 25.4%), bone (n=78; 19.8%), lung (n=60; 15.3%), liver (n=29; 7.4%), and adrenal metastasis (n=14; 3.6%). Among single organ metastasis, the survival time of patients with different metastatic organs was significantly different (P<0.01). The survival time for patients with bone metastasis was relatively longer, but that of patients with liver metastasis was shorter. The survival times of patients with single organ metastasis is shown in Figure 1.
Figure 1

Cumulative survival time of patients with different single organ metastases.

Notes: The survival time of patients with different metastatic organs was significantly different (P<0.01), with bone metastasis relatively longer, but liver metastasis shorter.

Comparison of survival time in patients with single organ metastasis and multiple organ metastases

Among the 539 patients, 393 (72.9%) had single organ metastasis and 146 (27.1%) had multiple organ metastases. The median survival times in single organ metastasis, two organ metastases, and three or more organs metastases were 18, 15, and 8 months, respectively. The survival time of patients with single organ metastasis, two organ metastases, and three or more organs metastases was significantly different (P<0.01; Figure 2).
Figure 2

Cumulative survival of patients with single organ metastasis and multiple organ metastases.

Notes: The survival time of patients with single organ metastasis, two organ metastases, and three or more organ metastases were significantly different (P<0.01), and single organ metastasis was better than two or more organ metastases.

Comparison of survival time in patients with single brain metastasis and patients with two or more brain metastases

Among the 393 patients with single organ metastasis, 100 (25.4%) had brain metastases; 35 (35.0%) had single brain metastasis, whereas 65 (64.0%) had two or more brain metastases. Survival time was significantly better in patients with single brain metastasis than in patients with multiple brain metastases (P<0.05; Figure 3).
Figure 3

Cumulative survival of patients with solitary and multiple brain metastases.

Notes: The survival time of patients with solitary brain metastasis was better than multiple brain metastases (P<0.05).

Relationship between radiation dose and survival time in patients with brain metastases

There was a significant difference in the survival time of patients with different radiotherapy doses. A positive correlation between radiation dose and survival time was observed. As the radiation dose varied from <50 to 50–59 Gy to ≥60 Gy, the survival time increased accordingly. There were significant differences between the three subgroups (the radiation dose of brain metastases <50 Gy, 50–59 Gy and ≥60 Gy). The relationship between radiation dose and survival in patients with brain metastases is shown in Figure 4.
Figure 4

Relationship between radiation dose and survival in patients with brain metastases.

Notes: The radiation dose influenced survival time of patients, and the dose ≥60 Gy was better than 50–59 Gy or <50 Gy (P<0.01).

Relationship between treatment methods and survival

Treatment methods, such as simple chemotherapy, radiotherapy, surgery, and targeted therapy, were significantly related to survival. There were significant differences in survival as treatment method varied. Chemoradiotherapy combined with targeted therapy showed better therapeutic effects. The prognosis of patients treated with chemotherapy alone or without treatment was poor. The different therapy influenced survival time of patients (P<0.01). The effect of treatment methods on survival is shown in Figure 5.
Figure 5

Effects of different treatment methods on survival.

Notes: The different therapy influenced survival time of patients, and the comprehensive therapy was better than others (P<0.01).

Comparison of survival time in treated and untreated patients

In patients with advanced lung cancer, survival time was significantly prolonged by receiving chemoradiotherapy and targeted therapy. The median survival time of the untreated patients was 5 months, whereas that of the comprehensively treated patients was 18 months. The survival time of patients received therapy was significantly longer than patients not received therapy (P<0.01). Figure 6 shows survival times in treated and untreated patients.
Figure 6

Comparison of survival times between treated and untreated patients.

Notes: The survival time of patients who received therapy was significantly longer than in patients that did not receive therapy (P<0.01).

Multivariate correlation analysis related to survival

Multivariate Cox regression analysis showed that age, different metastatic organs, the numbers of metastatic organs, and different treatment methods were correlated with survival time (Table 3).
Table 3

Multivariate correlation analysis related to survival

FactorsRegression coefficient (β)Wald valueP-valueRelative risk
Sex−0.1070.9720.3240.899
Age0.0147.7400.0051.014
Type of organ metastasis−1.04422.0060.0000.352
Number of metastatic organs−1.61760.0200.0000.199
Treatment methods2.68031.4090.0003.547

Discussion

The incidence of lung cancer has shown a declining trend in developed countries, but is on the rise in developing countries. Furthermore, lung cancer is no longer a disease of old age, but has increased incidence in younger individuals. In this study, patients’ ages ranged from 19 to 88 years, with a median age of 59 years. There were 282 cases (52.3%) <60 years old, and 257 cases (47.7%) >60 years old, suggesting that younger age has become another feature of lung cancer. The occurrence of lung cancer was not only related to smoking or environmental pollution, but also to stress, bad habits, and lack of exercise.6–9 We suggest slowing down the pace of life, learning to self-decompress, developing good habits, and regularly exercising daily or weekly, because exercise can reduce the risk of lung cancer.10 People >40 years should have at least one physical examination each year. For those who are at high risk, a low-dose CT scan has been suggested.11–13 Early discovery, diagnosis, and treatment could be assured by the abovementioned means to improve the survival rate and reduce the mortality of lung cancer. Early stage lung cancer does not have obvious symptoms, whereas advanced patients seldom had few symptoms. In this study, 13 patients (2.4%) were asymptomatic, and most had pulmonary and/or extrapulmonary symptoms. The primary reported symptoms were pulmonary: 311 cases (57.7%) had cough, sputum, chest pain, chest tightness, and dyspnea, and 19 cases (3.5%) had sputum with blood. Extrapulmonary symptoms were mainly headaches and ostalgia in 139 patients (25.8%). The shortest time for patients to see a doctor was 3 days, and the longest was 24 months, with an average of 2.36 months and a median of 2 months. Delayed doctor’s visits may be another reason for poor prognosis.1 The prognosis of patients with advanced lung cancer was poor, and the 5-year survival rate of patients with stage IV lung cancer was ~1%. In this study, more than half of the patients lived for >1 year, but the overall prognosis was poor, with a 3-year survival rate as low as 1.5%. The prognosis of synchronous metastases was significantly poorer than that of metachronous metastases. The most common metastatic site of lung cancer was the pleura (n=112; 28.5%), followed by the brain (n=100; 25.4%). Patients with single organ metastasis to the bones survived relatively longer, while those with brain metastasis had a similar survival rate, but the survival time of patients with liver metastasis was shorter. The reason for this finding might be that the patients received more timely treatment of bone and brain metastases. If left untreated, the prognosis could be dismal; an effective treatment can improve prognosis and prolong survival.14–16 Radiotherapy was the primary treatment, and the effect of chemotherapy on bone and brain metastases was poor. Most patients with bone metastasis experienced severe pain. Thus, the attendance rate and treatment rate were high, and the effect of radiotherapy was beneficial. Treatment was, generally, timely for patients with brain metastasis, as they experienced nervous system symptoms. The curative effect of radiotherapy for single and multiple brain metastases was consistent with the literature.17,18 This study found that prognosis was better for patients with single brain metastasis than for those with multiple metastases. In addition, the dose of radiotherapy was positively correlated with survival among patients with brain metastases. Radiotherapy doses of >50 Gy predicted better prognosis than did doses of <50 Gy. With dose increases, the survival time increased. However, further prospective studies should be conducted to confirm these results. The prognosis for patients with liver and pleural metastases was poor. Liver metastases often presented as multiple metastases, and the therapeutic effect of both chemotherapy and interventional therapy were poor, identical with that reported in the literature.19,20 Radiotherapy may be a good treatment option for single liver metastasis, but was unsuitable for the treatment of multiple liver metastases. In patients with pleural metastasis, malignant pleural effusion was common. Only a small number of patients had well-controlled disease. The prognosis was poor for those patients who had extensive pleural metastasis and massive pleural effusion, due to the cachexia resulting from rapid consumption, which was difficult to treat. The prognosis was relatively good for patients without pleural effusion. According to the literature, pleural involvement of lung cancer can be treated surgically, which could improve the survival rate and prolong the survival time.21 Therefore, the metastasis of different organs was one of the factors that affected survival. There was a significant difference in survival time depending on the number of metastatic organs. In this study, there were 393 cases (72.9%) of single organ metastasis and 146 cases (27.1%) of multiple organ metastases. For patients with single organ, two organs, and three or more organs metastases, the median survival time was 18, 15, and 8 months, respectively. This difference was significant. Therefore, the number of metastatic organs is also a factor that influences survival. Treatment methods for stage IV lung cancer include chemotherapy, radiotherapy, targeted therapy, and surgery. However, no single treatment is ideal. Because of the impact of traditional concepts, some patients with the first diagnosis of stage IV lung cancer gave up treatment. In this study, 70 patients (13%) did not accept treatment, which means >1/10 of patients chose to forego treatment. The median survival time of untreated patients was 5.0 months, compared with 18.0 months for those who received treatment. This difference was significant. As reported in the literature, the median survival time was 3.3 months in patients not receiving chemotherapy, 8.2 months in patients who only received first-line chemotherapy, and 16.2 months in patients who received both first- and second-line chemotherapy.22 Therefore, even in patients with advanced lung cancer, survival time can be prolonged after active treatment. As has been reported elsewhere, different treatment methods also affected survival time. Ma et al reported that in stage IV non-small cell lung cancer, if there were no more than three metastatic organs, the median survival time of concurrent chemotherapy three-dimensional radiotherapy could reach 13.0 months; primary tumor size and dose of radiotherapy were factors affecting overall survival.23 Furthermore, prognosis was correlated with Karnofsky Performance Status prior treatment in stage IV non-small cell lung cancer.24,25 The prognosis of patients receiving chemotherapy alone was poor, whereas chemotherapy combined with targeted therapy had a better prognosis, indicating that target therapy could improve survival time.26,27 Synchronous chemoradiotherapy was important in advanced lung cancer. Radical radiotherapy combined with chemotherapy significantly improves the survival rate and survival time of patients with advanced lung cancer.28,29 Hence, treatment methods are another factor that affects survival. The multivariate Cox regression analysis showed that the survival of patients with stage IV lung cancer was related to age, type of organ metastases, the number of metastatic organs, and treatment methods. Age and treatment methods were positively related to survival. In conclusion, patients with stage IV lung cancer have various and nonspecific clinical symptoms and experience delayed treatment with poor prognosis. Considering the significant difference between treated and untreated patients, we suggest that patients with advanced stages of disease should still be treated actively, in order to improve survival time. Age, distant organ metastasis, the number of metastatic organs, and treatment methods are the main factors affecting patient survival.
  27 in total

1.  Liver metastasis predicts poorer prognosis in stage IV lung adenocarcinoma patients receiving first-line gefitinib.

Authors:  Kuan-Li Wu; Ming-Ju Tsai; Chih-Jen Yang; Wei-An Chang; Jen-Yu Hung; Chun-Ju Yen; Chi-Hsiang Shen; Tzu-Yu Kuo; Jui-Ying Lee; Shah-Hwa Chou; Ta-Chih Liu; Inn-Wen Chong; Ming-Shyan Huang
Journal:  Lung Cancer       Date:  2015-02-23       Impact factor: 5.705

2.  Cancer statistics, 2010.

Authors:  Ahmedin Jemal; Rebecca Siegel; Jiaquan Xu; Elizabeth Ward
Journal:  CA Cancer J Clin       Date:  2010-07-07       Impact factor: 508.702

3.  Mutation of the epidermal growth factor receptor gene and its impact on the efficacy of gefitinib in advanced non-small cell lung cance.

Authors:  Xiang-Nan Li; Dong Qiu; Xue Pan; Xiao-Xu Hou
Journal:  Int J Clin Exp Med       Date:  2015-04-15

4.  Surgical Intervention for Non-Small-Cell Lung Cancer Patients with Pleural Carcinomatosis: Results From the Japanese Lung Cancer Registry in 2004.

Authors:  Tomohiko Iida; Mitsutoshi Shiba; Ichiro Yoshino; Etsuo Miyaoka; Hisao Asamura; Hiroshi Date; Meinoshin Okumura; Hirohito Tada; Yoichi Nakanishi; Hirotoshi Dosaka-Akita; Hideo Kobayashi; Kazuhisa Takahashi; Masayoshi Inoue; Kohei Yokoi
Journal:  J Thorac Oncol       Date:  2015-07       Impact factor: 15.609

5.  The IASLC Lung Cancer Staging Project: proposals for the revision of the TNM stage groupings in the forthcoming (seventh) edition of the TNM Classification of malignant tumours.

Authors:  Peter Goldstraw; John Crowley; Kari Chansky; Dorothy J Giroux; Patti A Groome; Ramon Rami-Porta; Pieter E Postmus; Valerie Rusch; Leslie Sobin
Journal:  J Thorac Oncol       Date:  2007-08       Impact factor: 15.609

Review 6.  Tobacco use and cessation for cancer survivors: an overview for clinicians.

Authors:  Maher Karam-Hage; Paul M Cinciripini; Ellen R Gritz
Journal:  CA Cancer J Clin       Date:  2014-05-09       Impact factor: 508.702

Review 7.  Radical treatment of non-small cell lung cancer during the last 5 years.

Authors:  Paula McCloskey; Bram Balduyck; Paul E Van Schil; Corinne Faivre-Finn; Mary O'Brien
Journal:  Eur J Cancer       Date:  2013-01-23       Impact factor: 9.162

8.  Clinical investigation into the initial diagnosis and treatment of 1,168 lung cancer patients.

Authors:  Qian Shao; Jianbin Li; Fengxiang Li; Suzhen Wang; Wei Wang; Shanshan Liu; Yingjie Zhang
Journal:  Oncol Lett       Date:  2014-12-08       Impact factor: 2.967

9.  Cigarette smoking and risk of lung cancer in Korean men: the Seoul Male Cancer Cohort Study.

Authors:  Jong-Myon Bae; Moo-Song Lee; Myung-Hee Shin; Dong-Hyun Kim; Zhong-Min Li; Yoon-Ok Ahn
Journal:  J Korean Med Sci       Date:  2007-06       Impact factor: 2.153

10.  Impact of epidermal growth factor receptor (EGFR) activating mutations and their targeted treatment in the prognosis of stage IV non-small cell lung cancer (NSCLC) patients harboring liver metastasis.

Authors:  Eduardo Castañón; Christian Rolfo; David Viñal; Inés López; Juan P Fusco; Marta Santisteban; Patricia Martin; Leire Zubiri; José I Echeveste; Ignacio Gil-Bazo
Journal:  J Transl Med       Date:  2015-08-07       Impact factor: 5.531

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1.  A 5-microRNA signature identified from serum microRNA profiling predicts survival in patients with advanced stage non-small cell lung cancer.

Authors:  Yajie Zhang; Jack A Roth; Hao Yu; Yuanqing Ye; Kunlin Xie; Hua Zhao; David W Chang; Maosheng Huang; Hecheng Li; Jieming Qu; Xifeng Wu
Journal:  Carcinogenesis       Date:  2019-07-04       Impact factor: 4.944

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