Changjiang Liu1
Yang Guo- 1Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- 2Department of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
Objective: Lung cancer is the leading cause of cancer-related mortality in China. The purpose of this study was to determine the effect of non-therapeutic and therapeutic factors of patients with lung cancer on survival rate.
Methods: In this retrospective study, a total of 458 patients diagnosed as lung cancer at the Department of Thoracic Surgery, the Fourth Affiliated Hospital of Hebei Medical University from September 2008 to October 2013 were enrolled. The COX proportional hazards model was used to analyze the possible factors affecting the survival of patients. Model variables included age, sex, family history, smoking, tumor location, pathological type, stage, chemotherapy, radiotherapy, operation, and targeted therapy.
Results: The median survival time (MST) was 32.0 months (95% CI: 29.0-34.0 months), while the 1-, 3-, and 5-year survival rates were 70.74%, 36.90%, and 30.13%, respectively. The univariate analysis showed that stage, chemotherapy, radiotherapy, and operation significantly affected the median survival time of patients. Multivariate cox regression analysis suggested that sex (female vs male, 2.096, 95% CI: 1.606-2.736), stage (stage I vs IV, 0.111, 95% CI: 0.039-0.314; stage II vs IV, 0.218, 95%CI: 0.089-0.535), chemotherapy (no vs yes, 0.469, 95% CI: 0.297-0.742), and operation (no vs yes, 2.667, 95% CI: 1.174-6.055) were independently associated with the survival of patients with lung cancer.
Conclusion: Our study showed that male, early stage, operation were protective factors for the survival of patients, while female, advanced stage, chemotherapy were risk factors for the survival of patients. Larger studies are required to address the usefulness of these prognostic factors in defining the management of patients with lung cancer.
Introduction
Lung cancer is a leading cause of cancer-related mortality around the world, with more than 1.8 million new cases and approximately 1.6 million deaths annually (1–3). In China, Lung cancer has replaced liver cancer as the most commonly diagnosed cancer and the primary cause of cancer-related death for both men and women (4–6). According to the National Central Cancer Registry (NCCR), there were more than 600’000 new lung cancer diagnoses in China in 2010, which accounts for 19.59% of all new cancer cases (7). Therefore, lung cancer has imposed an enormous burden on the patients and society.
It is widely accepted that lung cancer is a group of clinical entities that share cellular and molecular origins but that have various clinical behaviors which result in different prognosis (8–10). Thus, analyzing the prognosis for an individual patient with lung cancer is difficult. It is reported that the overall mortality rates for lung cancer over the last 15 years have remained stable in North America (11). Previous studies have shown that smoking, gender, age and TNM staging of lung cancer are the main prognostic basis for lung cancer (12). Knowledge of these prognostic factors allows us to choose a personalized treatment for an individual patient. The purpose of this study was to determine the effect of non-therapeutic and therapeutic factors of patients with lung cancer on their 5-year survival rates by univariate and multivariate analyses.
Methods
Patients
This retrospective study enrolled 458 Chinese patients who had pathologically diagnosed as lung cancer at the Department of Thoracic Surgery, the Fourth Affiliated Hospital of Hebei Medical University from September 2008 to October 2013.
Inclusion criteria: (1) patients with a age ≥18 years; (2) patients with histological diagnosis of lung cancer. Exclusion criteria:(1) patients with tumors of other systems; (2) Patients with incomplete clinical information; (3) Patients who lost to follow-up.
The primary output of this study includes age, sex, family history, smoking status, tumor location, tumor histopathological type, stage, and therapy. The endpoint variable in this study included patient mortality at one, three, and five years.
The CT examination protocol
The Chest CT scan protocol: All patients underwent chest CT plain scan after routine chest X-ray examination. Hitachi CT(ECLOS) 16-slice CT machine was used for CT examination, and the parameters of the instrument scan examination were as follows: Current control is 50Ma, voltage control is 100Kv, layer spacing is 5mm, pitch is 1.25mm, layer spacing and reconstruction layer thickness is 5mm, scanning time is 1.53s.
Statistical analysis
Statistical analysis was performed with SAS 9.3 (SAS Institute, Cary, NC, United State). Continuous variables satisfying normal distribution were described by means of standard deviation. The categorical data was presented as prevalence (%). Survival curves were analyzed using the Kaplan-Meier method and compared using the log-rank test to demonstrate the effects of different stages, radiotherapy, chemotherapy and surgery on the survival time of patients. Variables with statistically significant differences in univariate comparison were included in multivariate Cox regression. Multivariate Cox regression analysis was used to evaluate the independent prognostic factors of lung cancer. A cutoff P value of 0.05 was adopted for all analyses.
Results
A total of 458 patients with lung cancer were enrolled in this study. During the five years of follow-up, 138 (30.13%) patients were survival, and 300 (65.50%) patients were dead, and 20 (4.37%) patients were lost of follow-up. The median survival time (MST) was 32.0 months (95% CI: 29.0-34.0 months), while the 1-, 3-, and 5-year survival rates were 70.74%, 36.90%, and 30.13%, respectively. The patient enrollment process was shown in Figure 1.
Figure 1 The flowchart of patient enrollment.
The COX proportional hazards model was used to analyze the possible factors affecting the survival of patients with lung cancer. Model variables included age, sex, family history, smoking, tumor location, pathological type, stage, chemotherapy, radiotherapy, operation, and targeted therapy (Table 1). The age of the patients was 59.54 ± 9.30 years, and 138 (30.13%) patients were female. Only 18 patients had family history, while 223 (48.69%) patients were smokers. The tumor locations included left upper lobe (n=86, 18.78%), left lower lobe (n=89, 19.43%), right upper lobe (n=92, 20.09%), right lower lobe (n=94, 20.52%), and others (n=97, 21.18%). The majority of histopathological type was squamous cell carcinoma (n=158, 34.50%) and adenocarcinoma (n=215, 46.94%). The tumor stages were as follows: stage I (n=108, 23.58%), stage II (n=163, 35.59%), stage III (n=148, 32.31%), and stage IV (n=49, 8.52%). Majority of patients underwent chemotherapy (n=324, 70.74%) and operation (n=413, 90.17%), while part of patients received radiotherapy (n=52, 11.35%) and targeted therapy (n=42, 9.17%). Univariate analysis showed that stage, chemotherapy, radiotherapy, and operation significantly affected the MST of patients (Table 1 and Figure 2). In multivariate analysis, reported as hazard ratio and 95% CI, the result showed that sex (female vs male, 2.096, 95% CI: 1.606-2.736), stage (stage I vs IV, 0.111, 95% CI: 0.039-0.314; stage II vs IV, 0.218, 95%CI: 0.089-0.535), chemotherapy (no vs yes, 0.469, 95% CI: 0.297-0.742), and operation (no vs yes, 2.667, 95% CI: 1.174-6.055) were independently associated with the survival of patients with lung cancer (Table 2). These results indicated that male, early stage, operation were protective factors for the survival of patients, while female, advanced stage, chemotherapy were risk factors for the survival of patients.
Table 1 Univariate analysis of prognostic factors in lung cancer.
Figure 2 Survival curves for patients with lung cancer.
Table 2 Multivariate analysis of survival factors in lung cancer by COX proportional hazards regression model.
Discussion
Lung cancer is the leading cause of cancer-related death in China with an extremely poor overall survival rate. In this study, by analyzing our data on 458 patients using a Cox multivariable regression model, we identified sex, stage, chemotherapy, and operation as the independent prognostic factors for lung cancer.
We found two non-therapeutic factors, including stage and sex, which were the independent prognostic factors for lung cancer. Lung cancer is generally staged by the TNM staging system. Consistent with previous studies (11–14), our data revealed that stage is the most powerful prognostic tool for predicting the survival rates of patients with lung cancer. Numerous studies have reported that female patients have better relative survival compared with male patients for each stage of disease (15, 16). The increase in survival may attribute to the increased life expectancy of women relative to men, or the inherent biological differences between the sexes. However, our study showed that female patients have lower survival rate than male patients, especially in the first year of follow-up. The reason behind this phenomenon remains unknown.
In addition, we found two therapeutic factors, including chemotherapy and operation, which were the independent prognostic factors for lung cancer. As for adjuvant therapy, the NationalComprehensive Cancer Network (NCCN) recommends postoperative chemotherapy for patients with N2 NSCLC, and the main chemotherapy regimen is mainly platinum drugs supplemented with vincrine or pemetrexed (17, 18). In a large population-based study, adjuvant radiotherapy in patients with stage N2 improved patient outcomes (19). Surgery still remains the single most consistent and successful option for cure for patients with lung cancer (20). Our data showed that patients with operation have higher survival rate than patients without operation. This may be because lymph nodes can be dissected more systematically during surgery, and obtaining more accurate lymph node metastases is of great value to improve the prognosis of patients. Unfortunately, the disease is always diagnosed at a stage too advanced to allow this treatment for a majority of patients. For patients with locally advanced and metastatic disease, chemotherapy is beneficial for palliation. However, our data revealed that the subgroup of patients received chemotherapy experienced lower survival rates. Despite advances in standard therapies, survival rate remains poor for patients with lung cancer.
Increased understanding of cancer biology has revealed several effective therapeutic strategies, including targeted therapy (21–23). Over the last decade, targeted therapy has become firmly established as a therapeutic option in lung cancer. Our study found that, though not statistically significant (P=0.051), patients received targeted therapy seem to have better prognosis. Epidermal growth factor receptor (EGFR) somatic mutations are the most common type of mutation in NSCLC Non-Smallcell lung cancer (NSCLC). Patients with this group of mutations are more likely to receive treatment of epidermal growth factor receptor-tyrosinekinase inhibitor (EGFR-TKIs), because of its high efficiency and low toxicity. High objective response rate. These patients have a significantly longer life expectancy than patients who were treated with chemotherapy alone in the past (24–26). In addition, early screening is an independent prognostic factor that can benefit patients with lung cancer in order to improve survival. Previous reports suggest that overall mortality is significantly higher in the screening group than in the non-screening group, and highlight the benefits of low-dose computed tomography (LDCT) screening programs in Asian populations with a high incidence of non-smoking-related lung cancer (27–29).
There still have some limitations in the present study. Firstly, due to the retrospective nature of this study, the patients were from a single center, and the sample size was relatively limited. Secondly, the current patients were not followed up for long enough, nor were subgroup analyses between sexes sufficiently performed. Therefore, further studies with more scientific sample size and more comprehensive design are still needed.
In summary, our data revealed that sex, stage, chemotherapy, and operation are the independent prognostic factors for lung cancer. Larger studies are required to address the usefulness of these prognostic factors in defining the management of patients with lung cancer.
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.
Ethics statement
The studies involving human participants were reviewed and approved by The Fourth Hospital of Hebei Medical University. The patients/participants provided their written informed consent to participate in this study.
Author contributions
CL and YG contributed to the conception and design of the study. MM, XZ, and ZZ performed the experiments, collected and analyzed data. CL and YG wrote the manuscript. All authors contributed to the article and approved the submitted version.
Funding
The study is supported by Natural Science Foundation of Hebei Province (No. C2009001199).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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Keywords: lung cancer, prognosis, multivariate analysis, age, sex
Citation: Liu C, Ma M, Zhou X, Zhang Z and Guo Y (2023) Multivariate analysis of prognostic factors in patients with lung cancer. Front. Oncol. 13:1022862. doi: 10.3389/fonc.2023.1022862
Received: 19 August 2022; Accepted: 16 January 2023;
Published: 22 February 2023.
Edited by:
Fu-Zong Wu, Kaohsiung Veterans General Hospital, TaiwanReviewed by:
Chia-Hao Liang, National Yang Ming Chiao Tung University, TaiwanCemil Çolak, İnönü University, Türkiye
Copyright © 2023 Liu, Ma, Zhou, Zhang and Guo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yang Guo, guoy805@163.com