Construction of Risk Model for Postoperative Recurrence and Metastasis of Non-small Cell Lung Cancer and Verification of Predictive Ability

ZHAO Fangchao; WANG Weijian; LIU Jianming

doi:10.3971/j.issn.1000-8578.2020.19.0796

Cancer Research on Prevention and Treatment > 2020 > 47(4): 273-277. > DOI: 10.3971/j.issn.1000-8578.2020.19.0796

ZHAO Fangchao, WANG Weijian, LIU Jianming. Construction of Risk Model for Postoperative Recurrence and Metastasis of Non-small Cell Lung Cancer and Verification of Predictive Ability[J]. Cancer Research on Prevention and Treatment, 2020, 47(4): 273-277. DOI: 10.3971/j.issn.1000-8578.2020.19.0796

Citation:

PDF (3497 KB)

Construction of Risk Model for Postoperative Recurrence and Metastasis of Non-small Cell Lung Cancer and Verification of Predictive Ability

1.
Department of Thoracic Surgery, Tangshan People's Hospital Affiliated to North China University of Technology, Tangshan 063000, China
2.
Department of Orthopedics, Tangshan People's Hospital Affiliated to North China University of Technology, Tangshan 063000, China

More Information

Corresponding author:
LIU Jianming, E-mail: ljm15888@126.com
Received Date: June 16, 2019
Revised Date: September 28, 2019
Available Online: January 12, 2024

Graphical Abstract

Abstract

Abstract

Objective
To explore the risk factors for postoperative recurrence and metastasis of non-small cell lung cancer, and to construct a risk prediction model.
Methods
The clinical data of 278 patients with lung cancer who underwent surgical treatment from May 2011 to May 2014 in Tangshan People's Hospital Affiliated to North China University of Technology were retrospectively analyzed. Postoperative recurrence and metastasis of patients were followed up. The risk model for recurrence and metastasis was established and validated.
Results
Multivariate Logistic regression analysis showed that tumor differentiation, mediastinal lymph node metastasis, and postoperative pathological staging were independent risk factors for postoperative recurrence and metastasis. A prediction model was established by combining independent risk factors. The prediction model had an AUC of 0.867 and a cutoff of 0.664. The AUC of the validation group was 0.83, and the prediction performance of the validation group was consistent with the modeling group.
Conclusion
The predictive model constructed in this study could predict the risk of postoperative recurrence and metastasis of non-small cell lung cancer to a certain extent.
- Non-small cell lung cancer,
- Recurrence,
- Metastasis,
- Risk factor,
- Risk model

FullText(HTML)

References (14)

References

[1]	Siegel RL, Miller KD, Jemal A, et al. Cancer statistics, 2019[J].CA Cancer J Clin, 2019, 69(1) : 7-34. http://d.old.wanfangdata.com.cn/Periodical/zlzhzldzzz201901014
[2]	林金兰, 郭天兴, 潘小杰, 等.长春瑞滨软胶囊单药节拍化疗一线治疗老年非小细胞肺癌临床疗效观察[J].肿瘤防治研究, 2018, 45(11): 909-912. doi: 10.3971/j.issn.1000-8578.2018.18.0841 Li JL, Guo TX, Pan XJ, et al. clinical observation of metronomic oral vinorelbine monotherapy as first-line treatment on elderly patients with advanced non-small cell lung cancer[J]. Zhong Liu Fang Zhi Yan Jiu, 2018, 45(11): 909-912. doi: 10.3971/j.issn.1000-8578.2018.18.0841
[3]	罗猛, 刘波, 刘迪, 等.非小细胞肺癌患者微创切除术后的复发与转移状况研究[J].中国内镜杂志, 2017, 23(9): 42-47. http://d.old.wanfangdata.com.cn/Periodical/zgnjzz201709009 Luo M, Liu B, Liu D, et al. Recurrence and metastasis of patients with non-small cell lung cancer after minimally invasive surgery[J].Zhongguo Nei Jing Za Zhi, 2017, 23(9): 42-47. http://d.old.wanfangdata.com.cn/Periodical/zgnjzz201709009
[4]	Zhao J, Zhang X, Gong C, et al. Targeted therapy with apatinib in a patient with relapsed small cell lung cancer: A case report and literature review[J]. Medicine (Baltimore), 2017, 96(50): e9259. https://www.ncbi.nlm.nih.gov/pubmed/29390367
[5]	Yoshida Y, Watanabe S. Primary Lung Cancer Surgery-Clinical Trial Results[J]. Gan To Kagaku Ryoho, 2018, 45(10): 1405-1409. https://pubmed.ncbi.nlm.nih.gov/30382033/
[6]	叶轩婷, 张朋, 沈丽萍, 等.非小细胞肺癌根治术后预防复发转移的治疗进展[J].医学综述, 2018, 24(5): 879-883. doi: 10.3969/j.issn.1006-2084.2018.05.010 Ye XT, Zhang P, Shen LP, et al. Advance of the Prevention from Recurrence and Metastasis after Radical Resection for Non-Small Cell Lung Cancer[J]. Yi Xue Zong Shu, 2018, 24(5): 879-883. doi: 10.3969/j.issn.1006-2084.2018.05.010
[7]	Oguma J, Ozawa S, Kazuno A, et al. Clinical Significance of New Magnetic Resonance Thoracic Ductography Before Thoracoscopic Esophagectomy for Esophageal Cancer[J]. World J Surg, 2018, 42(6): 1779-1786. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=c9b1a8ad7b1f3ca6622dbd8f2996c1c3
[8]	江涵.非小细胞肺癌淋巴结转移及术后局部(区域)复发因素荟萃分析[D].南方医科大学, 2018. http://cdmd.cnki.com.cn/Article/CDMD-12121-1018276395.htm Jiang H. Meta-analysis of lymph node metastasis and postoperative local (regional) recurrence in non-small cell lung cancer[D]. Southern Medical University, 2018. http://cdmd.cnki.com.cn/Article/CDMD-12121-1018276395.htm
[9]	葛会景, 郭占林.非小细胞肺癌术后预后相关因素的研究进展[J].内蒙古医科大学学报, 2018, 40(6): 650-653. http://d.old.wanfangdata.com.cn/Periodical/nmgyxyxb201806031 Ge HJ, Guo ZL. Research progress on prognositic factors of non-small cell lung cancer after operation[J]. Neimenggu Yi Ke Da Xue Xue Bao, 2018, 40(6): 650-653. http://d.old.wanfangdata.com.cn/Periodical/nmgyxyxb201806031
[10]	陶洪, 孙国平.非小细胞肺癌根治术后复发及进展影响因素的回顾性分析[J].医学信息, 2018, 31(12): 61-64. doi: 10.3969/j.issn.1006-1959.2018.12.019 TAO H, Sun GP. Retrospective analysis of factors influencing recurrence and progression after radical resection of non-small cell lung cancer[J]. Yi Xue Xin Xi, 2018, 31(12): 61-64. doi: 10.3969/j.issn.1006-1959.2018.12.019
[11]	宋勇. Ⅲ期非小细胞肺癌手术治疗患者预后的影响因素分析[J].中国实用医药, 2019, 14(1): 25-26. http://d.old.wanfangdata.com.cn/Periodical/zgsyyy201901009 Song Y. Analysis of factors affecting prognosis of patients with stage Ⅲ non-small cell lung cancer undergoing surgical treatment[J]. Zhongguo Shi Yong Yi Yao, 2019, 14(1): 25-26. http://d.old.wanfangdata.com.cn/Periodical/zgsyyy201901009
[12]	Flores RM, Nicastri D, Bauer T, et al. Computed tomography screening for lung cancer: mediastinal lymph node resection in stage IA nonsmall cell lung cancer manifesting as subsolid and solid nodules[J]. Ann Surg, 2017, 265(5): 1025-1033. https://www.ncbi.nlm.nih.gov/pubmed/27232256
[13]	李星凯, 刘战业, 姜运峰, 等.原发性中央型和周围型肺鳞癌临床病理学及预后差异[J].山东大学学报(医学版), 2017, 55(9): 73-78. http://d.old.wanfangdata.com.cn/Periodical/shandykdxxb201709013 Li XK, Liu ZY, Jiang YF, et al. Clinicopathological factors and prognosis between primary central and peripheral lung squamous cell carcinoma[J]. Shandong Da Xue Xue Bao(Yi Xue Ban), 2017, 55(9): 73-78. http://d.old.wanfangdata.com.cn/Periodical/shandykdxxb201709013
[14]	金澄宇, 续文栋, 杜亮, 等.非小细胞肺癌患者术后复发240例临床分析[J].中国临床研究, 2018, 31(7): 933-935, 939. http://www.cnki.com.cn/Article/CJFDTotal-ZGCK201807018.htm Jin CY, Xu WD, Du L, et al. Postoperative recurrence of non-small cell lung cancer: analysis of 240 cases[J]. Zhongguo Lin Chuang Yan Jiu, 2018, 31(7): 933-935, 939. http://www.cnki.com.cn/Article/CJFDTotal-ZGCK201807018.htm

[1]	DAI Nan, ZHAO Xiaolong, DAI Xiaoyan, LI Mengxia. Effect of Exosomal APE1 on Sensitivity of NSCLC A549 Cells to Cisplatin[J]. Cancer Research on Prevention and Treatment, 2020, 47(7): 492-497. DOI: 10.3971/j.issn.1000-8578.2020.19.1609
[2]	HUANG Zejian, FANG Chang, YU Baodan, CHENG Qing, LYU Ping. 3E10 Targeting CD24 Enhances Chemotherapy Sensitivity of Hepatocellular Carcinoma HuH-7 Cells[J]. Cancer Research on Prevention and Treatment, 2018, 45(8): 540-544. DOI: 10.3971/j.issn.1000-8578.2018.17.1484
[3]	CAI Rui, CHEN Qiuqiu, JIANG Wei. 5-azacytidine Increases Radiation Sensitivity of Nasopharyngeal Carcinoma Cell Line C666-1[J]. Cancer Research on Prevention and Treatment, 2017, 44(2): 94-97. DOI: 10.3971/j.issn.1000-8578.2017.02.003
[4]	ZHANG Juping, SHI Yehui, JIA Yongsheng, ZHOU Liyan, TONG Zhongsheng. GDF11 is Involved in Human Hepatic Carcinoma Cells SMMC-7721 Proliferation and Sensitivity to DDP[J]. Cancer Research on Prevention and Treatment, 2016, 43(6): 459-462. DOI: 10.3971/j.issn.1000-8578.2016.06.005
[5]	LI Wei, PENG Junqin, LI Jiansheng, TANG Rijie. MR Apparent Diffusion Coefficient Predicts Sensitivity of Nasopharyngeal Carcinoma to Radiotherapy and Related Factors[J]. Cancer Research on Prevention and Treatment, 2015, 42(12): 1221-1226. DOI: 10.3971/j.issn.1000-8578.2015.12.011
[6]	HU Lili, YIN Yanjun, ZHONG Wenjuan, QIU Feng. miR-200c Enhances Sensitivity of Lung Cancer Cell A549 to Paclitaxel and Gefitinib and Related Mechanism[J]. Cancer Research on Prevention and Treatment, 2015, 42(08): 760-764. DOI: 10.3971/j.issn.1000-8578.2015.08.003
[7]	CAO Xinmei, ZHANG Daiquan, XIA Jiyi, WANG Xu, GAO Yan, XIONG Wei. Effects of HER2 shRNA on Chemotherapy Sensitivity of Mouse Lewis Cells[J]. Cancer Research on Prevention and Treatment, 2014, 41(05): 366-368. DOI: 10.3971/j.issn.1000-8578.2014.05.004
[8]	Yang Qingshan, Liu Yuanyuan, Jiang Lipeng. Effect of Expression Vector of Human BAG-1 Gene on Radio-sensitivity of Lung Adenocarcinoma Cells[J]. Cancer Research on Prevention and Treatment, 2012, 39(02): 127-129. DOI: 10.3971/j.issn.1000-8578.2012.02.002
[9]	FANG Chuan, TAN Yan-li, WANG Jia-liang, SHI Yan-fang, SHAN Xiao-song, LI Wei. Primary Culture and Drug Sensitivity of Human Glioma Cells[J]. Cancer Research on Prevention and Treatment, 2010, 37(12): 1380-1382. DOI: 10.3971/j.issn.1000-8578.2010.12.012
[10]	ZHANG Wei, GU Min. Geldanamycin Sensitizes Human Breast Cancer Cells to Adriamycin both in vitro and in vivo[J]. Cancer Research on Prevention and Treatment, 2010, 37(10): 1109-1112. DOI: 10.3971/j.issn.1000-8578.2010.10.004

Cited By

Cited by

Periodical cited type(9)

1.	成俊，徐雪峰，李伟. D-CBCT在肺癌容积旋转调强计划精准治疗中的临床应用. 中国CT和MRI杂志. 2024(04): 35-37 .
2.	蒋浩，曹新超，吴桐，郭志斌. 低剂量CT联合外周血循环肿瘤细胞在肺癌早期诊断中的价值研究. 中国CT和MRI杂志. 2024(06): 57-60 .
3.	王晶，翟成凯. 肿瘤自身抗体及CT人工智能在NSCLC早期诊断中的应用研究进展. 解放军医学杂志. 2024(07): 848-854 .
4.	李雪娇. 多排螺旋CT低剂量胸部扫描在肺癌早期筛查中的应用价值分析. 医药前沿. 2024(15): 79-81 .
5.	易梅玲，易芳玲. 双层探测器光谱CT智能剂量调控技术在低剂量胸部体检中的应用价值. 中国医疗器械信息. 2024(22): 8-10+81 .
6.	杏子，彭源. 低剂量CT在肺癌筛查中的价值. 中国防痨杂志. 2024(S2): 234-236 .
7.	陈蔚，蒋伟. 低剂量螺旋CT扫描用于肺癌筛查及鉴别的效果评估. 深圳中西医结合杂志. 2023(01): 71-73 .
8.	慕珂珂，肖凌云，董炎红. 早期肺癌患者血清和胸腔积液中CYFRA211、NSE及SCC水平变化及意义. 中国实用医刊. 2023(09): 34-37 .
9.	陈彪. 低剂量螺旋CT联合血清肿瘤标志物在肺癌诊断中的临床应用价值. 影像研究与医学应用. 2023(22): 24-26 .

Other cited types(1)

Get Citation

PDF

XML

Article views (2301) PDF downloads (1835) Cited by(10)

Turn off MathJax

Article Contents

Abstract

References

Construction of Risk Model for Postoperative Recurrence and Metastasis of Non-small Cell Lung Cancer and Verification of Predictive Ability