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中华肺部疾病杂志(电子版) ›› 2023, Vol. 16 ›› Issue (05) : 739 -741. doi: 10.3877/cma.j.issn.1674-6902.2023.05.038

综述

肺癌自身抗体在肺癌诊断中的研究进展
高嘉营, 金发光()   
  1. 710038 西安,空军军医大学第二附属医院呼吸与危重症医学科
  • 收稿日期:2023-04-02 出版日期:2023-10-25
  • 通信作者: 金发光

Research progress of lung cancer autoantibodies in lung cancer diagnosis

Jiaying Gao, Faguang Jin()   

  • Received:2023-04-02 Published:2023-10-25
  • Corresponding author: Faguang Jin
引用本文:

高嘉营, 金发光. 肺癌自身抗体在肺癌诊断中的研究进展[J/OL]. 中华肺部疾病杂志(电子版), 2023, 16(05): 739-741.

Jiaying Gao, Faguang Jin. Research progress of lung cancer autoantibodies in lung cancer diagnosis[J/OL]. Chinese Journal of Lung Diseases(Electronic Edition), 2023, 16(05): 739-741.

肺癌作为最常见的一种恶性肿瘤疾病,严重影响人类健康[1]。肺癌在男性群体中的患病率位于第一位,在女性群体中肺癌患病率位居第三位,排在乳腺癌、大肠癌之后。肺癌男性患者的患病率与病死率是女性的两倍之多[2]。到2018年,我国就有新增加肺癌患者77.4万例,其中有69万例患者死亡是肺癌所导致。Ⅰ期肺癌患者5年的生存率是77.0%~92.0%,而Ⅳ期患者5年的生存率不满10%[3,4]。虽然分子检测技术的进步大大提高了诊断和治疗水平,但大约85%的肺癌是在中晚期阶段发现,此时失去了最佳治疗时机,导致肺癌的总生存率仍然很低。进一步开发无创、重复性较好,具备较高灵敏度与高特异度的生物标志物用于早期肺癌的辅助诊断,是临床的重点工作,从而达到肺癌早期发现,早期治疗的目的,以此提高肺癌患者的长期生存率,这对于提高肺癌的诊治水平是很有必要的。

1
中国临床肿瘤学会血管靶向治疗专家委员会,中国临床肿瘤学会非小细胞肺癌专家委员会,中国临床肿瘤学会非小细胞肺癌抗血管生成药物治疗专家组.晚期非小细胞肺癌抗血管生成药物治疗中国专家共识(2020版)[J]. 中华肿瘤杂志2020, 42(12): 1063-1077.
2
Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2021, 71(3): 209-249.
3
Henschke CI, Yankelevitz DF, Libby DM, et al. Survival of patients with stage I lung cancer detected on CT screening[J]. N Engl J Med, 2006, 355: 1763-1771.
4
Miller KD, Nogueira L, Mariotto AB, et al. Cancer treatment and survivorship statistics, 2019[J]. CA Cancer J Clin, 2019, 69(5): 363-385.
5
Bach PB, Mirkin JN, Oliver TK, et al. Benefits and harms of CT screening for lung cancer: a systematic review[J]. JAMA, 2012, 307: 2418-2429.
6
Walter JE, Heuvelmans MA, Oudkerk M, et al. Small pulmonary nodules in baseline and incidence screening rounds of low-dose CT lung cancer screening[J]. Transl Lung Cancer Res, 2017, 6(1): 42-51.
7
Oudkerk M, Liu S, Heuvelmans MA, et al. Lung cancer LDCT screening andmortality reduction-evidence, pitfalls and future perspectives [J]. Nat Rev ClinOncol, 2021, 18(3): 135-151.
8
朱梦婵,邰先桃,王 坚,等. 外泌体及外泌体微小RNA在肺动脉高压中的作用与机制[J/CD]. 中华肺部疾病杂志(电子版), 2019, 12(6): 776-779.
9
Sozzi G, Boeri M, Rossi M, et al. Clinical utility of a plasma-based miRNA signature classifier within computed tomography lung cancer screening: a correlative MILD trial study[J]. J Clin Oncol, 2014, 32(8): 768-773.
10
Abbosh C, Birkbak NJ, Wilson GA, et al. Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution[J]. Nature, 2017, 545(7655): 446-451.
11
Hodgkinson CL, Morrow CJ, Li Y, et al. Tumorigenicity and genetic profiling of circulating tumor cells in smallcell lung cancer[J]. Nat Med, 2014, 20(8): 897- 903.
12
Tan EM. Autoantibodies as reporters identifying aberrant cellular mechanisms in tumorigenesis[J]. J ClinInvest, 2001, 108(10): 1411-1415.
13
Tan EM, Koziol JA. Autoantibodies in prostate cancer [J]. N Engl J Med, 2005, 353(26): 2815-2817.
14
Kobayashi M, Katayama H, Fahrmann JF, et al. Development of autoantibody signatures for common cancers [J]. Semin Immunol, 2020, 47: 101388.
15
Kolkhir P, Metz M, Altrichter S, et al. Comorbidity of chronic spontaneous urticaria and autoimmune thyroid diseases: A systematic review [J]. Allergy, 2017, 72(10): 1440-1460.
16
Damato V, Balint B, Kienzler AK, et al. The clinical features, underlying immunology, and treatment of autoantibody-mediated movement disorders [J]. Mov Disord, 2018, 33(9): 1376-1389.
17
Chapman CJ, Murray A, McElveen JE, et al. Autoantibodies in lung cancer: possibilities for early detection and subsequent cure[J]. Thorax, 2008, 63(3): 228- 233.
18
Desmetz C, Mange A, Maudelonde T, et al. Autoantibody signatures:progressand perspectives for early cancer detection[J]. J Cell Mol Med, 2011, 15(10): 2013-2024.
19
Chen HD, Werner S, Tao S, et al. Blood autoantibodies against tumor-associatedantigens as biomarkers in early detection of colorectal cancer[J]. Cancer Lett, 2014, 346(2): 178-187.
20
Murray A, Chapman CJ, Healey G, et al. Technical validation of an autoantibody test for lung cancer[J]. Ann Oncol, 2010, 21(8): 1687-1693.
21
Chapman C, Murray A, Chakrabarti J, et al. Autoantibodies in breast cancer: their use as an aid to early diagnosis[J]. Ann Oncol, 2007, 18(5): 868-873.
22
Wu L, Chang W, Zhao J, et al. Development of autoantibody signatures as novel diagnostic biomarkers of non-small cell lung cancer[J]. Clin Cancer Res, 2010, 16(14): 3760-3768.
23
Dail LP, Tsay JC, Li J, et al. Autoantibodies against tumor-associated antigens in the early detection of lung cancer[J]. Lung Cancer, 2016, 99: 172-179.
24
Boyle P, Chapman C, Holdenrieder S, et al. Clinical validation of an autoantibody test for lung cancer[J]. Ann Oncol, 2011, 22(2): 383-389.
25
Sullivan FM, Mair FS, Anderson W, et al. Earlier diagnosis of lung cancer in a randomised trial of an autoantibody blood test followed by imaging[J]. Eur Respir J, 2021, 57(1): 2000670.
26
Ren S, Zhang S, Jiang T, et al. Early detection of lung cancer by using an autoantibody panel in Chinese population[J]. Oncoimmunology, 2017, 7(2): 1384108.
27
Sullivan FM, Farmer E, Mair FS, et al. Detection in blood of autoantibodies totumour antigens as a case-finding method in lung cancer using the EarlyCDT®-Lung Test (ECLS): study protocol for a randomized controlled trial[J]. BMC Cancer, 2017, 17(1): 187.
28
Meyer N, Penn LZ. Reflecting on 25 years with MYC[J]. Nat Rev Cancer, 2008, 8(12): 976-990.
29
Panda S, Banerjee N, Chatterjee S. Solute carrier proteins and c-Myc: A strong connection incancer progression[J]. Drug Discov Today, 2020, 25(5): 891-900.
30
Elbadawy M, Usui T, Yamawaki H, et al. Emerging roles of C-Myc in cancer stem cell related signaling and resistance to cancer chemotherapy: A potential therapeutic target against colorectal cancer[J]. Int J Mol Sci, 2019, 20(9): 2340.
31
Li P, Shi JX, Dai LP, et al. Serum anti-MDM2 andanti-c-Myc autoantibodies as biomarkers in the early detection of lung cancer[J]. Oncoimmunology, 2016, 5(5): 1138200.
32
Duan Y, Cui C, Qiu C, et al. Serum Autoantibodies against LRDD, STC1, and FOXA1 as Biomarkers in the Detection of Ovarian Cancer[J]. Dis Markers, 2022, 2022: 6657820.
33
Zhang X, Li J, Wang Y, et al. A Diagnostic Model With IgM Autoantibodies and Carcinoembryonic Antigen for Early Detection of Lung Adenocarcinoma[J]. Front Immunol, 2022, 12: 728853.
34
Li S, Ma Y, Xiong Y, et al. Five tumor-associated autoantibodies expression levels in serum predict lung cancer and associate with poor outcome[J]. Transl Cancer Res, 2019 , 8(4): 1364-1373.
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