Advanced Search
ZHAN Na, XU Wei, ZENG Zhi, DONG Liling. Diagnosis Value of Tumor-associated Auto-antibodies Combined with Low-dose Spiral Computed Tomography in Early Lung Cancer Screening[J]. Cancer Research on Prevention and Treatment, 2022, 49(9): 908-912. DOI: 10.3971/j.issn.1000-8578.2022.22.0060
Citation: ZHAN Na, XU Wei, ZENG Zhi, DONG Liling. Diagnosis Value of Tumor-associated Auto-antibodies Combined with Low-dose Spiral Computed Tomography in Early Lung Cancer Screening[J]. Cancer Research on Prevention and Treatment, 2022, 49(9): 908-912. DOI: 10.3971/j.issn.1000-8578.2022.22.0060

Diagnosis Value of Tumor-associated Auto-antibodies Combined with Low-dose Spiral Computed Tomography in Early Lung Cancer Screening

Funding: 

Dr. Chinese Health Management Science Research Fund 2021HX0019

More Information
  • Corresponding author:

    XU Wei, E-mail: 1535065582@qq.com

  • Received Date: January 17, 2022
  • Revised Date: May 23, 2022
  • Available Online: January 12, 2024
  • Objective 

    To investigate the application value of serum auto-antibody detection combined with low-dose spiral computed tomography (LDCT) in early lung cancer screening.

    Methods 

    From 12568 medical examination crowd (7453 males and 5115 females), 1324 people with high-risk cases of lung cancer in our medical examination center were divided randomly into three groups (LDCT, serum auto-antibody, and serum auto-antibody combined with LDCT groups). All people in this research were screened by chest X-ray. Follow-up was conducted for one year, and the positive screening and diagnosis rates of early lung cancer screening were compared between these groups of high-risk people with lung cancer.

    Results 

    The positive screening and diagnostic rates of high-risk lung cancer in the serum auto-antibody combined with LDCT group was significantly higher those that in other two groups (P < 0.001). The specificity and sensitivity of serum auto-antibody combined with LDCT group were 89.1% and 88.4%, respectively; the area under the ROC curve was 0.863.

    Conclusion 

    Serum auto-antibody detection combined with low-dose spiral CT can significantly improve the positive screening rate of lung cancer in high-risk populations, providing a strong theoretical support for lung cancer screening pathway.

  • Competing interests: The authors declare that they have no competing interests.

  • [1]
    Siegel RL, Miller KD, Fuchs HE, et al. Cancer statistics, 2022[J]. CA Cancer J Clin, 2022, 72(1): 7-33. doi: 10.3322/caac.21708
    [2]
    Allemani C, Matsuda T, Di Carlo V, et al. Global surveillance of trends in cancer survival 2000-14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries[J]. Lancet, 2018, 391(10125): 1023-1075. doi: 10.1016/S0140-6736(17)33326-3
    [3]
    Goldstraw P, Chansky K, Crowley J, et al. The IASLC Lung Cancer Staging Project: Proposals for Revision of the TNM Stage Groupings in the Forthcoming (Eighth) Edition of the TNM Classification for Lung Cancer[J]. J Thorac Oncol, 2016, 11(1): 39-51. doi: 10.1016/j.jtho.2015.09.009
    [4]
    National Lung Screening Trial Research Team, Aberle DR, Adams AM, et al. Reduced lung-cancer mortality with low-dose computed tomographic screening[J]. N Engl J Med, 2011, 365(5): 395-409. doi: 10.1056/NEJMoa1102873
    [5]
    Tang ZM, Ling ZG, Wang CM, et al. Serum tumor-associated autoantibodies as diagnostic biomarkers for lung cancer: A systematic review and meta-analysis[J]. PLoS One, 2017, 12(7): e182117.
    [6]
    杨景伟, 尹德军, 刘玉霞, 等. 血清自身抗体检测联合低剂量螺旋CT在早期肺癌筛查中的临床价值[J]. 系统医学, 2019, 4(17): 10-13. https://www.cnki.com.cn/Article/CJFDTOTAL-XTYX201917004.htm

    Yang JW, Yin DJ, Liu YX, et al. Clinical value of serum autoantibody detection combined with low-dose spiral CT in early lung cancer screening[J]. Xi Tong Yi Xue, 2019, 4(17): 10-13. https://www.cnki.com.cn/Article/CJFDTOTAL-XTYX201917004.htm
    [7]
    Xia C, Dong X, Li H, et al. Cancer statistics in China and United States, 2022: profiles, trends, and determinants[J]. Chin Med J (Engl), 2022, 135(5): 584-590. doi: 10.1097/CM9.0000000000002108
    [8]
    Wang Q, Wang Q, Wang SF, et al. Oral Chinese herbal medicine as maintenance treatment after chemotherapy for advanced non-small-cell lung cancer: a systematic review and meta-analysis[J]. Curr Oncol, 2017, 24(4): e269-e276. doi: 10.3747/co.24.3561
    [9]
    Petpiroon N, Bhummaphan N, Tungsukruthai S, et al. Chrysotobibenzyl inhibition of lung cancer cell migration through Caveolin-1-dependent mediation of the integrin switch and the sensitization of lung cancer cells to cisplatin-mediated apoptosis[J]. Phytomedicine, 2019, 58: 152888. doi: 10.1016/j.phymed.2019.152888
    [10]
    Kauczor HU, Bonomo L, Gaga M, et al. ESR/ERS white paper on lung cancer screening[J]. Eur Radiol, 2015, 25(9): 2519-2531. doi: 10.1007/s00330-015-3697-0
    [11]
    Reck M, Rabe KF. Precision Diagnosis and Treatment for Advanced Non-Small-Cell Lung Cancer[J]. N Engl J Med, 2017, 377(9): 849-861. doi: 10.1056/NEJMra1703413
    [12]
    Guo W, Hu M, Wu J, et al. Gprc5a depletion enhances the risk of smoking-induced lung tumorigenesis and mortality[J]. Biomed Pharmacother, 2019, 114: 108791. doi: 10.1016/j.biopha.2019.108791
    [13]
    Riihimäki M, Hemminki A, Fallah M, et al. Metastatic sites and survival in lung cancer[J]. Lung Cancer, 2014, 86(1): 78-84. doi: 10.1016/j.lungcan.2014.07.020
    [14]
    Ullah MF, Aatif M. The footprints of cancer development: Cancer biomarkers[J]. Cancer Treat Rev, 2009, 35(3): 193-200. doi: 10.1016/j.ctrv.2008.10.004
    [15]
    Jett J, Healey G, Macdonald I, et al. Determination of the Detection Lead Time for Autoantibody Biomarkers in Early Stage Lung Cancer Using the UKCTOCS Cohort[J]. J Thorac Oncol, 2017, 122(11): S2170.
    [16]
    Brims F, McWilliams A, Fong K. Lung cancer screening in Australia: progress or procrastination?[J]. Med J Aust, 2016, 204(1): 4-5. doi: 10.5694/mja15.01109
    [17]
    Qiu J, Choi G, Li L, et al. Occurrence of autoantibodies to annexin I, 14-3-3 theta and LAMR1 in prediagnostic lung cancer sera[J]. J Clin Oncol, 2008, 26(31): 5060-5066. doi: 10.1200/JCO.2008.16.2388
    [18]
    Leavitt J, Pangilinan J. 2019 World conference of lung cancer round-up[J]. Oncology (Williston Park), 2019, 33(11): 687519.
    [19]
    中华医学会肿瘤学分会, 中华医学会杂志社. 中华医学会肿瘤学分会肺癌临床诊疗指南(2021版)[J]. 中华肿瘤杂志, 2021, 43(6): 591-621. doi: 10.3760/cma.j.cn112152-20210207-00118

    Oncology Society of Chinese Medical Association, Chinese Medical Association Publishing House. Oncology Society of Chinese Medical Association guideline for clinical diagnosis and treatment of lung cancer (2021 edition)[J]. Zhonghua Zhong Liu Za Zhi, 2021, 43(6): 591-621. doi: 10.3760/cma.j.cn112152-20210207-00118
    [20]
    Ren S, Zhang S, Jiang T, et al. Early detection of lung cancer by using an autoantibody panel in Chinese population[J]. Oncoimmunology, 2018, 7(2): e1384108. doi: 10.1080/2162402X.2017.1384108
    [21]
    Massion PP, Healey GF, Peek LJ, et al. Autoantibody Signature Enhances the Positive Predictive Power of Computed Tomography and Nodule-Based Risk Models for Detection of Lung Cancer[J]. J Thorac Oncol, 2017, 12(3): 578-584. doi: 10.1016/j.jtho.2016.08.143
    [22]
    Du Q, Yu R, Wang H, et al. Significance of tumor-associated autoantibodies in the early diagnosis of lung cancer[J]. Clin Respir J, 2018, 12(6): 2020-2028. doi: 10.1111/crj.12769
  • Related Articles

    [1]HE Jiawei, CAO Longnyu, TANG Mengyuan, CUI Hongquan. Causal Relationships Between Immune Cells and Risk of Gastric Cancer: A Mendelian Randomization Study[J]. Cancer Research on Prevention and Treatment, 2025, 52(2): 172-176. DOI: 10.3971/j.issn.1000-8578.2025.24.0438
    [2]WU Tong, GAO Fei, TENG Fei, ZHANG Qiaoli. Genetic Determinants of Immune Cells and Hepatocellular Carcinoma Risk: A Bioinformatics and Bidirectional Mendelian Randomization Study[J]. Cancer Research on Prevention and Treatment, 2025, 52(1): 42-51. DOI: 10.3971/j.issn.1000-8578.2025.24.0562
    [3]YUAN Chendong, SHU Xufeng, WANG Xiaoqiang, JIE Zhigang. Relationship Between High-Density Lipoprotein Cholesterol and Colorectal Cancer—A Mendelian Randomization Study[J]. Cancer Research on Prevention and Treatment, 2024, 51(10): 847-851. DOI: 10.3971/j.issn.1000-8578.2024.24.0153
    [4]GONG Wanli, HOU Yaqi, WANG Yue, LI Yuan, QI Rongxuan, YU Qi, ZHANG Juan. Immune Cell-Mediated Effect of Lipid Profile on Colorectal Cancer: A Two-Step, Two-Sample Mendelian Randomization Study[J]. Cancer Research on Prevention and Treatment, 2024, 51(10): 831-839. DOI: 10.3971/j.issn.1000-8578.2024.24.0284
    [5]LIU Jingting, ZHOU Yawei, KONG Lingguo, WANG Qiandan, SU Tianxiong, PEI Jianying, LI Yan. Causal Association Between Immune Cells and Cervical Cancer: A Two-Sample Mendelian Randomization Study[J]. Cancer Research on Prevention and Treatment, 2024, 51(9): 772-778. DOI: 10.3971/j.issn.1000-8578.2024.24.0037
    [6]WANG Yuanhang, SONG Zhiyuan, LU Ping, ZHANG Min. Analysis of Association Between Immune Cells and Breast Cancer Based on Two-sample Mendelian Randomization Method[J]. Cancer Research on Prevention and Treatment, 2024, 51(5): 348-352. DOI: 10.3971/j.issn.1000-8578.2024.23.1125
    [7]LIU Longjiao, YAO Yufeng. Circulating Inflammatory Proteins in Relation to Risk of Breast Cancer: A Two-sample Mendelian Randomization Study[J]. Cancer Research on Prevention and Treatment, 2024, 51(5): 342-347. DOI: 10.3971/j.issn.1000-8578.2024.23.1344
    [8]WEI Wei, LIU Ming, XU Jianguo, GAO Ya, SHEN Caiyi, TIAN Jinhui. Causal Relationship Between Acromegaly and Colon Cancer: A Two-sample Mendelian Randomization Study[J]. Cancer Research on Prevention and Treatment, 2023, 50(12): 1209-1213. DOI: 10.3971/j.issn.1000-8578.2023.23.0507
    [9]WANG Mengyuan, XU Hengmin, WANG Jingxuan, PAN Kaifeng, LI Wenqing. Mendelian Randomization Analysis of Research on Risk Factors for Gastric Cancer[J]. Cancer Research on Prevention and Treatment, 2023, 50(5): 470-476. DOI: 10.3971/j.issn.1000-8578.2023.22.1411
    [10]Xin-ying ZHOU, Hu ZHANG, Hai-yan DAI. Mendelian randomization analysis of the correlation between interleukin and the risk of gynecological tumors[J]. Cancer Research on Prevention and Treatment. DOI: 10.3971/j.issn.1000-8578.20240994
  • Cited by

    Periodical cited type(13)

    1. 吴杨,隋雨桐,李斌鹏,韩路拓,姜家康. 激酶/转录因子信号通路调控肺癌机制及中医药干预的研究进展. 世界中医药. 2025(01): 142-147+154 .
    2. 曹家瑞,冯博,马纯政,陈伟霞,喻江凡,曹莎莎,张振予,欧阳文慧. 中医药调控JAK/STAT信号通路干预肺癌的机制研究进展. 中国实验方剂学杂志. 2025(09): 265-276 .
    3. 梁帅,尹怡,刘湘花,汪保英,骆文龙,龙云凯,任振杰,王祥麒. 升降理肺消瘤汤对Lewis肺癌小鼠免疫炎性反应和JAK2/STAT3信号通路的影响. 辽宁中医药大学学报. 2024(04): 27-32 .
    4. 张彩蝶,靳艳,张德德. 润肺益肾饮对肺癌荷瘤大鼠的抑瘤作用和肿瘤免疫微环境的影响. 天津医药. 2024(04): 362-366 .
    5. 孙喜,王召路,贾谨睿,王梦洋,孙润卓,王鹏,史新娥. 虫草素及其在生猪养殖中的应用. 畜牧兽医杂志. 2024(04): 1-7 .
    6. 兰春燕,杨小兰,贺雪峰,赵丹,杨海燕. 甘草苷对胃癌荷瘤小鼠免疫功能的调节作用及机制研究. 中国药房. 2024(15): 1862-1867 .
    7. 张景淇,郭静,陈娅欣,蒲玥衡,向俊杰. 中药调控肺癌相关信号通路研究进展. 中国实验方剂学杂志. 2024(19): 233-244 .
    8. 张孟恩,韩睿,徐超,庞训胜,王世琴. 地顶孢霉培养物在反刍动物生产中的应用研究进展. 中国畜牧杂志. 2024(12): 70-74 .
    9. 高铭,丁美灵,雷紫琴,胡靖文,栾飞,曾南. 荆防败毒散及其中成药制剂研究进展. 中药药理与临床. 2023(05): 112-118 .
    10. 朱亚兰,吕世文,曾晨欣,徐媛青. 苍术素对非小细胞肺癌细胞上皮间质转化的影响及机制研究. 浙江医学. 2023(10): 1013-1018 .
    11. 陈才伟,陈家亮,李华娟,方芳,文方玲. 虫草素调节MAPK/AP-1信号通路对慢性阻塞性肺疾病大鼠肺组织损伤的影响. 临床肺科杂志. 2023(11): 1656-1661 .
    12. 李翔子,王西双,范建伟,杨田野,王丽娟,孙颖,姚景春. 荆防合剂通过抑制JAK2-STAT3信号通路调节荨麻疹小鼠脾脏T淋巴细胞亚群的平衡. 中国中药杂志. 2022(20): 5473-5480 .
    13. 沈栩岚,黄凌霞. 虫草素的抗癌机理. 蚕桑通报. 2022(02): 33-34 .

    Other cited types(4)

Catalog

    Figures(1)  /  Tables(4)

    Article views (1175) PDF downloads (154) Cited by(17)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return