非小细胞肺癌远处转移相关血清指标及临床 特征研究
Study on Serum Indicators and Clinical Characteristics Related to Distant Metastasis of Non-Small Cell Lung Cancer
DOI: 10.12677/acm.2026.1662445, PDF,    科研立项经费支持
作者: 罗勤利*, 方章兰, 韩 娜, 马 振:重庆大学附属肿瘤医院健康体检与肿瘤筛查中心,重庆
关键词: 非小细胞肺癌远处转移肿瘤标志物纤维蛋白原Non-Small Cell Lung Cancer Distant Metastasis Tumor Markers Fibrinogen
摘要: 目的:探讨纤维蛋白原(FIB)、血清肿瘤标志物及肿瘤大小等指标与非小细胞肺癌(NSCLC)远处转移的相关性,为临床诊断及预后评估提供参考。方法:回顾性分析2019~2024年在重庆大学附属肿瘤医院确诊的NSCLC患者临床资料,根据是否发生远处器官转移分为转移组(366例)和非转移组(328例)。对比两组患者FIB、血清肿瘤标志物【神经元特异性烯醇化酶(NSE)、癌胚抗原(CEA)、糖类抗原125 (CA125)、细胞角蛋白19片段(CYFRA21-1)等】、肿瘤大小及临床特征等指标与远处转移的关联;同时从病理类型、肿瘤大小、肿瘤位置三个维度进行亚组分析,进一步探讨上述指标与NSCLC远处转移的相关性。结果:肿瘤远处转移组FIB、NSE、CEA、CA125、CYFRA211血清阳性率均显著高于非转移组(all P < 0.05),上述指标与NSCLC远处转移呈密切相关;年龄、血小板(PLT)、胃泌素释放肽前体(ProGRP)两组间分布差异无统计学意义(all P > 0.05),与远处转移无明显关联。亚组分析中,不同肿瘤大小、肿瘤位置亚组内FIB、CEA、NSE、CA125、CYFRA21-1仍与转移状态显著相关(all P < 0.05),可作为鉴别NSCLC是否发生远处转移的稳定预测指标。结论:FIB、CEA、NSE、CA125、CYFRA21-1与NSCLC患者远处转移存在相关性,可为NSCLC远处转移的临床诊断及预后评估提供一定的参考价值。
Abstract: Objective: To investigate the correlation between fibrinogen (FIB), serum tumor markers, tumor size and other indicators with distant metastasis in non-small cell lung cancer (NSCLC), so as to provide a reference for clinical diagnosis and prognosis evaluation of NSCLC patients. Methods: A retrospective analysis was conducted on the clinical data of patients diagnosed with NSCLC at Chongqing University Cancer Hospital from 2019 to 2024. The patients were divided into distant metastasis group (366 cases) and non-distant metastasis group (328 cases) according to the presence or absence of distant organ metastasis. The two groups were compared in terms of fibrinogen (FIB), serum tumor markers including neuron-specific enolase (NSE), carcinoembryonic antigen (CEA), carbohydrate antigen 125 (CA125) and cytokeratin 19 fragment (CYFRA21-1), as well as tumor size and clinicopathological characteristics, to analyze their association with distant metastasis. Meanwhile, subgroup analysis was conducted according to pathological type, tumor size and tumor location, so as to further explore the correlation between the above indicators and distant metastasis of non-small cell lung cancer (NSCLC). Results: The serum positive rates of FIB, NSE, CEA, CA125 and CYFRA21-1 in the metastatic group were significantly higher than those in the non-metastatic group (all P < 0.05), and the above indicators were closely correlated with distant metastasis of NSCLC. There were no statistically significant differences in age, platelet (PLT) and progastrin-releasing peptide (ProGRP) between the two groups (all P > 0.05), which showed no obvious association with distant metastasis. In subgroup analysis, FIB, CEA, NSE, CA125 and CYFRA21-1 were still significantly correlated with metastatic status in subgroups stratified by tumor size and tumor location (all P < 0.05), which could serve as stable predictive indicators for identifying the presence or absence of distant metastasis in NSCLC patients. Conclusions: FIB, CEA, NSE, CA125 and CYFRA21-1 are correlated with distant metastasis in NSCLC patients, and they have certain clinical significance for the diagnosis and prognosis evaluation of NSCLC patients with distant metastasis.
文章引用:罗勤利, 方章兰, 韩娜, 马振. 非小细胞肺癌远处转移相关血清指标及临床 特征研究[J]. 临床医学进展, 2026, 16(6): 2230-2242. https://doi.org/10.12677/acm.2026.1662445

参考文献

[1] Bray, F., Laversanne, M., Sung, H., Ferlay, J., Siegel, R.L., Soerjomataram, I., et al. (2024) Global Cancer Statistics 2022: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA: A Cancer Journal for Clinicians, 74, 229-263. [Google Scholar] [CrossRef] [PubMed]
[2] Zhang, H., Liao, M., Guo, Q., Chen, J., Wang, S., Liu, S., et al. (2023) Predicting N2 Lymph Node Metastasis in Presurgical Stage I‐II Non‐Small Cell Lung Cancer Using Multiview Radiomics and Deep Learning Method. Medical Physics, 50, 2049-2060. [Google Scholar] [CrossRef] [PubMed]
[3] Consonni, D., Pierobon, M., Gail, M.H., Rubagotti, M., Rotunno, M., Goldstein, A., et al. (2015) Lung Cancer Prognosis before and after Recurrence in a Population-Based Setting. JNCI: Journal of the National Cancer Institute, 107, djv059. [Google Scholar] [CrossRef] [PubMed]
[4] Yang, Q., Zhang, P., Wu, R., Lu, K. and Zhou, H. (2018) Identifying the Best Marker Combination in CEA, CA125, CY211, NSE, and SCC for Lung Cancer Screening by Combining ROC Curve and Logistic Regression Analyses: Is It Feasible? Disease Markers, 2018, Article ID: 2082840. [Google Scholar] [CrossRef] [PubMed]
[5] Kudo, Y., Haymaker, C., Zhang, J., Reuben, A., Duose, D.Y., Fujimoto, J., et al. (2019) Suppressed Immune Microenvironment and Repertoire in Brain Metastases from Patients with Resected Non-Small-Cell Lung Cancer. Annals of Oncology, 30, 1521-1530. [Google Scholar] [CrossRef] [PubMed]
[6] Li, H., Wang, G., Zhang, H., Song, X., Cao, J., Zhang, X., et al. (2019) Prognostic Role of the Systemic Immune-Inflammation Index in Brain Metastases from Lung Adenocarcinoma with Different EGFR Mutations. Genes & Immunity, 20, 455-461. [Google Scholar] [CrossRef] [PubMed]
[7] Gu, W., Hu, M., Wang, W., Shi, C. and Mei, J. (2020) Development and Validation of a Novel Nomogram for Predicting Tumor-Distant-Metastasis in Patients with Early T1-2 Stage Lung Adenocarcinoma. Therapeutics and Clinical Risk Management, 16, 1213-1225. [Google Scholar] [CrossRef] [PubMed]
[8] Qi, W., Li, Z., Xu, J. and Wang, T. (2025) Integration of Circulating Biomarkers and Clinical Factors: Construction and Validation of a Prediction Model for Lung Cancer Metastasis. BMC Pulmonary Medicine, 25, Article No. 567. [Google Scholar] [CrossRef
[9] WHO Expert Consultation (2004) Appropriate Body-Mass Index for Asian Populations and Its Implications for Policy and Intervention Strategies. Lancet, 363, 157-163. [Google Scholar] [CrossRef
[10] Che, J., Yue, D., Zhang, B., Zhang, H., Huo, Y., Gao, L., et al. (2018) Claudin-3 Inhibits Lung Squamous Cell Carcinoma Cell Epithelial-Mesenchymal Transition and Invasion via Suppression of the Wnt/β-Catenin Signaling Pathway. International Journal of Medical Sciences, 15, 339-351. [Google Scholar] [CrossRef] [PubMed]
[11] Jensen, G.L., Tang, C., Hess, K.R., Liao, Z. and Gomez, D.R. (2017) Patterns of Metastatic Progression after Definitive Radiation Therapy for Early-Stage and Locally Advanced Non-Small Cell Lung Cancer. Clinical & Experimental Metastasis, 34, 315-322. [Google Scholar] [CrossRef] [PubMed]
[12] Shan, Q., Fan, Y., Guo, J., Han, X., Wang, H. and Wang, Z. (2019) Relationship between Tumor Size and Metastatic Site in Patients with Stage IV Non-Small Cell Lung Cancer: A Large Seer-Based Study. PeerJ, 7, e7822. [Google Scholar] [CrossRef] [PubMed]
[13] Li, J., Liu, F., Yu, H., Zhao, C., Li, Z. and Wang, H. (2019) Different Distant Metastasis Patterns Based on Tumor Size Could Be Found in Extensive-Stage Small Cell Lung Cancer Patients: A Large, Population-Based SEER Study. PeerJ, 7, e8163. [Google Scholar] [CrossRef] [PubMed]
[14] Jiménez-Sánchez, J., Bosque, J.J., Jiménez Londoño, G.A., Molina-García, D., Martínez, Á., Pérez-Beteta, J., et al. (2021) Evolutionary Dynamics at the Tumor Edge Reveal Metabolic Imaging Biomarkers. Proceedings of the National Academy of Sciences of the United States of America, 118, e2018110118. [Google Scholar] [CrossRef] [PubMed]
[15] Jamal-Hanjani, M., Wilson, G.A., McGranahan, N., et al. (2017) Tracking the Evolution of Non-Small-Cell Lung Cancer. The New England Journal of Medicine, 376, 2109-2121.
[16] Meacham, C.E. and Morrison, S.J. (2013) Tumour Heterogeneity and Cancer Cell Plasticity. Nature, 501, 328-337. [Google Scholar] [CrossRef] [PubMed]
[17] Ward, P.S. and Thompson, C.B. (2012) Metabolic Reprogramming: A Cancer Hallmark Even Warburg Did Not Anticipate. Cancer Cell, 21, 297-308. [Google Scholar] [CrossRef] [PubMed]
[18] Chouaid, C., Salaün, M., Gounant, V., Febvre, M., Vergnon, J., Jouniaux, V., et al. (2019) Clinical Efficacy and Cost-Effectiveness of Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration for Preoperative Staging of Non-Small-Cell Lung Cancer: Results of a French Prospective Multicenter Trial (EVIEPEB). PLOS ONE, 14, e0208992. [Google Scholar] [CrossRef] [PubMed]
[19] Mang, A., Zou, W., Rolny, V., Reck, M., Cigoianu, D., Schulze, K., et al. (2024) Combined Use of CYFRA 21-1 and CA 125 Predicts Survival of Patients with Metastatic NSCLC and Stable Disease in Impower150. Tumor Biology, 46, S177-S190. [Google Scholar] [CrossRef] [PubMed]
[20] Molina, R., Marrades, R.M., Augé, J.M., Escudero, J.M., Viñolas, N., Reguart, N., et al. (2016) Assessment of a Combined Panel of Six Serum Tumor Markers for Lung Cancer. American Journal of Respiratory and Critical Care Medicine, 193, 427-437. [Google Scholar] [CrossRef] [PubMed]
[21] Holdenrieder, S., Wehnl, B., Hettwer, K., Simon, K., Uhlig, S. and Dayyani, F. (2017) Carcinoembryonic Antigen and Cytokeratin-19 Fragments for Assessment of Therapy Response in Non-Small Cell Lung Cancer: A Systematic Review and Meta-analysis. British Journal of Cancer, 116, 1037-1045. [Google Scholar] [CrossRef] [PubMed]
[22] Vollrath, J.T., Schindler, C.R., Herrmann, E., Verboket, R.D., Henrich, D., Marzi, I., et al. (2023) Evaluation of CYFRA 21-1, Angiopoetin-2, Pentraxin-3, SRAGE, Il-6, and Il-10 In Polytraumatized Patients with Concomitant Thoracic Trauma—Helpful Markers to Predict Pneumonia? Shock, 60, 392-399. [Google Scholar] [CrossRef] [PubMed]
[23] Wang, J., Chu, Y., Li, J., Wang, T., Sun, L., Wang, P., et al. (2019) The Clinical Value of Carcinoembryonic Antigen for Tumor Metastasis Assessment in Lung Cancer. PeerJ, 7, e7433. [Google Scholar] [CrossRef] [PubMed]
[24] Park, J.W., Park, D.M., Choi, B.K., Kwon, B.S., Seong, J.K., Green, J.E., et al. (2015) Establishment and Characterization of Metastatic Gastric Cancer Cell Lines from Murine Gastric Adenocarcinoma Lacking Smad4, P53, and E‐Cadherin. Molecular Carcinogenesis, 54, 1521-1527. [Google Scholar] [CrossRef] [PubMed]
[25] Petrović, M., Baskić, D., Banković, D. and Ilić, N. (2011) Neuroendocrine Differentiation as an Indicator of Chemosensitivity and Prognosis in Nonsmall Cell Lung Cancer. Biomarkers, 16, 311-320. [Google Scholar] [CrossRef] [PubMed]
[26] Yu, D., Du, K., Liu, T. and Chen, G. (2013) Prognostic Value of Tumor Markers, NSE, CA125 and SCC, in Operable NSCLC Patients. International Journal of Molecular Sciences, 14, 11145-11156. [Google Scholar] [CrossRef] [PubMed]
[27] Jacot, W., Quantin, X., Boher, J., Andre, F., Moreau, L., Gainet, M., et al. (2001) Brain Metastases at the Time of Presentation of Non-Small Cell Lung Cancer: A Multi-Centric AERIO Analysis of Prognostic Factors. British Journal of Cancer, 84, 903-909. [Google Scholar] [CrossRef] [PubMed]
[28] Giannakouros, P., Comamala, M., Matte, I., Rancourt, C. and Piché, A. (2015) MUC16 Mucin (CA125) Regulates the Formation of Multi-Cellular Aggregates by Altering β-Catenin Signaling. American Journal of Cancer Research, 5, 219-230.
[29] Schultes, B.C. and Whiteside, T.L. (2003) Monitoring of Immune Responses to CA125 with an IFN-γ ELISPOT Assay. Journal of Immunological Methods, 279, 1-15. [Google Scholar] [CrossRef] [PubMed]
[30] lei, Y., Zang, R., Lu, Z., Zhang, G., Huang, J., Liu, C., et al. (2020) ERO1L Promotes IL6/sIL6R Signaling and Regulates MUC16 Expression to Promote CA125 Secretion and the Metastasis of Lung Cancer Cells. Cell Death & Disease, 11, Article No. 853. [Google Scholar] [CrossRef] [PubMed]
[31] Wang, J., Chu, Y., Li, J., Zeng, F., Wu, M., Wang, T., et al. (2020) Development of a Prediction Model with Serum Tumor Markers to Assess Tumor Metastasis in Lung Cancer. Cancer Medicine, 9, 5436-5445. [Google Scholar] [CrossRef] [PubMed]
[32] Dzikowski, L., Mirzaei, R., Sarkar, S., Kumar, M., Bose, P., Bellail, A., et al. (2021) Fibrinogen in the Glioblastoma Microenvironment Contributes to the Invasiveness of Brain Tumor‐Initiating Cells. Brain Pathology, 31, e12947. [Google Scholar] [CrossRef] [PubMed]
[33] Zhang, F., Wang, Y., Sun, P., Wang, Z., Wang, D., Zhang, D., et al. (2017) Fibrinogen Promotes Malignant Biological Tumor Behavior Involving Epithelial-Mesenchymal Transition via the p-AKT/p-mTOR Pathway in Esophageal Squamous Cell Carcinoma. Journal of Cancer Research and Clinical Oncology, 143, 2413-2424. [Google Scholar] [CrossRef] [PubMed]
[34] Zheng, S., Shen, J., Jiao, Y., Liu, Y., Zhang, C., Wei, M., et al. (2009) Platelets and Fibrinogen Facilitate Each Other in Protecting Tumor Cells from Natural Killer Cytotoxicity. Cancer Science, 100, 859-865. [Google Scholar] [CrossRef] [PubMed]
[35] Sheng, L., Luo, M., Sun, X., Lin, N., Mao, W. and Su, D. (2013) Serum Fibrinogen Is an Independent Prognostic Factor in Operable Nonsmall Cell Lung Cancer. International Journal of Cancer, 133, 2720-2725. [Google Scholar] [CrossRef] [PubMed]
[36] Zhang, K., Xu, Y., Tan, S., Wang, X., Du, M. and Liu, L. (2019) The Association between Plasma Fibrinogen Levels and Lung Cancer: A Meta-Analysis. Journal of Thoracic Disease, 11, 4492-4500. [Google Scholar] [CrossRef] [PubMed]