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Abstract
China is faced with heavy burdens caused by lung cancer, which has climbed to the top of both cancer incidence and mortality spectrums. The age-standardized rates of incidence and mortality have shown a trend of gradual up-trends in the last decades, while the crude rates rise much quickly due to the aging of population. Although the improvement in health care has contributed to better survival of lung cancer, its prognosis is still challenging. Apart from the common risk factors such as tobacco use, air pollution, and occupational hazards, some specific factors like Chinese-style cooking also have posed great threats to human health. In light of such national conditions, specific interventions should be conducted to curb the burden of lung cancer including smoking cessation, improvement of air quality, early detection and effective treatment of lung cancer.
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Affiliation(s)
- Siyi He
- Office for Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - He Li
- Office for Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Maomao Cao
- Office for Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Dianqin Sun
- Office for Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Lin Lei
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
| | - Ni Li
- Office for Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Ji Peng
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
| | - Wanqing Chen
- Office for Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Xu F, Xu P, Cui W, Gong W, Wei Y, Liu B, Dong J. Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios may aid in identifying patients with non-small cell lung cancer and predicting Tumor-Node-Metastasis stages. Oncol Lett 2018. [PMID: 29928436 DOI: 10.3892/ol.2018.8644)] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
The present study aimed to identify a high-risk population with non-small cell lung cancer (NSCLC) and to predict TNM stages using the neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR). This retrospective study included preoperative data of 171 patients and 105 controls. Compared with healthy controls, patients with NSCLC had higher levels of NLR and PLR (NLR, 2.719±0.183 vs. 1.813±0.079, P<0.01; PLR, 135.800±4.778 vs. 112.000±5.651, P<0.01, respectively). The associations between Tumor-Node-Metastasis stages and the aforementioned parameters were detected (both P<0.01). NLR and PLR improved the rate of early diagnosis of NSCLC, particularly for stages III and IV with a higher area under curve value (0.752 and 0.759, respectively) compared with stage I and II NSCLC. In addition, PLR with a T stage-dependent increase may be a potential and independent predictive marker for T stage (P<0.05); the NLR exhibited an N stage-dependent increase (except for stage N3) and was identified as a marker for N stage (P<0.0001). It was subsequently concluded that NLR and PLR are useful biomarkers in the early diagnosis of NSCLC; that these two parameters were capable of indicating advanced stages, III and IV; and that PLR and NLR were independent predictors for T and N stages, respectively.
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Affiliation(s)
- Fei Xu
- Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.,Institute of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
| | - Pengliang Xu
- Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
| | - Wenqiang Cui
- Institute of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.,Department of Integrative Medicine and Neurobiology, State Key Laboratory of Medical Neurobiology, Institute of Acupuncture Research, School of Basic Medical Science, Fudan University, Shanghai 200032, P.R. China
| | - Weiyi Gong
- Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.,Institute of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
| | - Ying Wei
- Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.,Institute of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
| | - Baojun Liu
- Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.,Institute of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
| | - Jingcheng Dong
- Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.,Institute of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
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Xu F, Xu P, Cui W, Gong W, Wei Y, Liu B, Dong J. Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios may aid in identifying patients with non-small cell lung cancer and predicting Tumor-Node-Metastasis stages. Oncol Lett 2018; 16:483-490. [PMID: 29928436 DOI: 10.3892/ol.2018.8644] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Accepted: 02/27/2018] [Indexed: 12/16/2022] Open
Abstract
The present study aimed to identify a high-risk population with non-small cell lung cancer (NSCLC) and to predict TNM stages using the neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR). This retrospective study included preoperative data of 171 patients and 105 controls. Compared with healthy controls, patients with NSCLC had higher levels of NLR and PLR (NLR, 2.719±0.183 vs. 1.813±0.079, P<0.01; PLR, 135.800±4.778 vs. 112.000±5.651, P<0.01, respectively). The associations between Tumor-Node-Metastasis stages and the aforementioned parameters were detected (both P<0.01). NLR and PLR improved the rate of early diagnosis of NSCLC, particularly for stages III and IV with a higher area under curve value (0.752 and 0.759, respectively) compared with stage I and II NSCLC. In addition, PLR with a T stage-dependent increase may be a potential and independent predictive marker for T stage (P<0.05); the NLR exhibited an N stage-dependent increase (except for stage N3) and was identified as a marker for N stage (P<0.0001). It was subsequently concluded that NLR and PLR are useful biomarkers in the early diagnosis of NSCLC; that these two parameters were capable of indicating advanced stages, III and IV; and that PLR and NLR were independent predictors for T and N stages, respectively.
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Affiliation(s)
- Fei Xu
- Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.,Institute of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
| | - Pengliang Xu
- Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
| | - Wenqiang Cui
- Institute of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.,Department of Integrative Medicine and Neurobiology, State Key Laboratory of Medical Neurobiology, Institute of Acupuncture Research, School of Basic Medical Science, Fudan University, Shanghai 200032, P.R. China
| | - Weiyi Gong
- Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.,Institute of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
| | - Ying Wei
- Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.,Institute of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
| | - Baojun Liu
- Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.,Institute of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
| | - Jingcheng Dong
- Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.,Institute of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
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Shen S, Wei Y, Zhang R, Du M, Duan W, Yang S, Zhao Y, Christiani DC, Chen F. Mutant-allele fraction heterogeneity is associated with non-small cell lung cancer patient survival. Oncol Lett 2017; 15:795-802. [PMID: 29399148 PMCID: PMC5772758 DOI: 10.3892/ol.2017.7428] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Accepted: 09/22/2017] [Indexed: 01/09/2023] Open
Abstract
Genetic intratumor heterogeneity is associated with tumor occurrence, development and overall outcome. The present study aims to explore the association between mutant-allele fraction (MAF) heterogeneity and patient overall survival in lung cancer. Somatic mutation data of 939 non-small cell lung cancer (NSCLC) cases were obtained from The Cancer Genome Atlas. Entropy-based mutation allele fraction (EMAF) score was used to describe the uncertainty of individual somatic mutation patterns and to further analyze the association with patient overall survival. Results indicated that association between EMAF and overall survival was significant in the discovery set [hazard ratio (H)R=1.62; 95% confidence interval (CI): 1.08–2.41; P=0.018] and replication set (HR=1.63; 95% CI: 1.11–2.37; P=0.011). In addition, EMAF was also significantly different in lung adenocarcinoma and squamous cell carcinoma. Furthermore, a significant difference was indicated in early-stage patients. Results from c-index analysis indicated that EMAF improved the model predictive performance on the 3-year survival beyond that of traditional clinical staging, particularly in early-stage patients. In conclusion, EMAF successfully reflected MAF heterogeneity among patients with NSCLC. Additionally, EMAF improved the predictive performance in early-stage patient prognosis beyond that of traditional clinical staging. In clinical application, EMAF appears to identify a subset of early-stage patients with a poor prognosis and therefore may help inform clinical decisions regarding the application of chemotherapy after surgery.
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Affiliation(s)
- Sipeng Shen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211136, P.R. China.,Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115, USA
| | - Yongyue Wei
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211136, P.R. China
| | - Ruyang Zhang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211136, P.R. China
| | - Mulong Du
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211136, P.R. China
| | - Weiwei Duan
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211136, P.R. China
| | - Sheng Yang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211136, P.R. China
| | - Yang Zhao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211136, P.R. China
| | - David C Christiani
- Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115, USA
| | - Feng Chen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211136, P.R. China.,Ministry of Education Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, P.R. China
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