Case study of an autoantibody panel for early detection of lung cancer and ground-glass nodules.


Journal

Journal of cancer research and clinical oncology
ISSN: 1432-1335
Titre abrégé: J Cancer Res Clin Oncol
Pays: Germany
ID NLM: 7902060

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 04 02 2020
accepted: 02 07 2020
pubmed: 11 7 2020
medline: 15 12 2020
entrez: 11 7 2020
Statut: ppublish

Résumé

Increasing lung cancer incidence in China with a high death rate due to late diagnosis highlights the need for biomarkers, such as panels of autoantibodies (AAbs), for prediction and early lung cancer diagnosis. We conducted a study to further evaluate the clinical performance of an AAb diagnostic kit. Using enzyme-linked immunosorbent assay, levels of seven AAbs in serum samples from 121 patients with newly diagnosed lung cancer, 84 controls (34 healthy individuals and 50 patients with benign lung disease), and 100 indeterminate solid nodules, were measured. Participants were followed up until 6 months after a positive test result to confirm lung cancer diagnosis. The seven AAb concentration was significantly higher in lung cancer patients than in controls (P < 0.05). The seven AAb sensitivity and specificity for newly diagnosed lung cancer were 45.5% and 85.3%, respectively, while the seven AAb combined area under the curve (in lung cancer patients versus controls) was 0.660. Of the 28 patients with solid nodules with positive test results, 8 and 3 were diagnosed with lung cancer and benign lung disease, respectively, during follow-up. The positive predictive value of the experiment was 72.7%. Positive AAb test results were associated with a high risk of lung cancer. The seven-AAb panel also had a high predictive value for detecting lung cancer in patients with solid nodules. Our seven lung cancer autoantibody types can provide an important early warning sign in the clinical setting.

Identifiants

pubmed: 32648227
doi: 10.1007/s00432-020-03309-4
pii: 10.1007/s00432-020-03309-4
pmc: PMC7679338
doi:

Substances chimiques

Antigens, Neoplasm 0
Autoantibodies 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3349-3357

Subventions

Organisme : Capital clinical application research from Beijing Science and Technology Commission
ID : Z141107006614004

Références

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Auteurs

Yunli Huo (Y)

Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Shuaifuyuan 1#, Wangfujing, Dong Cheng, Beijing, 100730, People's Republic of China.

Zijian Guo (Z)

Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Shuaifuyuan 1#, Wangfujing, Dong Cheng, Beijing, 100730, People's Republic of China. guozj@pumch.cn.

Xuehui Gao (X)

Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Shuaifuyuan 1#, Wangfujing, Dong Cheng, Beijing, 100730, People's Republic of China.

Zhongjuan Liu (Z)

Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Shuaifuyuan 1#, Wangfujing, Dong Cheng, Beijing, 100730, People's Republic of China.

Ruili Zhang (R)

Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Shuaifuyuan 1#, Wangfujing, Dong Cheng, Beijing, 100730, People's Republic of China.

Xuzhen Qin (X)

Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Shuaifuyuan 1#, Wangfujing, Dong Cheng, Beijing, 100730, People's Republic of China.

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