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Serum tumor-associated autoantibodies as diagnostic biomarkers for lung cancer: A systematic review and meta-analysis

Tang, Zhen-Ming ; Ling, Zhou-Gui ; Wang, Chun-Mei ; Wu, Yan-Bin ; Kong, Jin-Liang De Re, Valli

PloS one, 2017-07, Vol.12 (7), p.e0182117-e0182117 [Periódico revisado por pares]

United States: Public Library of Science

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Título:
Serum tumor-associated autoantibodies as diagnostic biomarkers for lung cancer: A systematic review and meta-analysis
Autor: Tang, Zhen-Ming ; Ling, Zhou-Gui ; Wang, Chun-Mei ; Wu, Yan-Bin ; Kong, Jin-Liang
De Re, Valli
Assuntos: Antigens ; Autoantibodies ; Autoantibodies - blood ; Autoantibodies - immunology ; Autoantibodies - isolation & purification ; Bioindicators ; Biological markers ; Biology and Life Sciences ; Biomarkers ; Biomarkers, Tumor - blood ; Blood tests ; Cages ; Cancer ; Cancer therapies ; Diagnosis ; Diagnostic systems ; Disease ; Enzyme-linked immunosorbent assay ; Hospitals ; Humans ; Immunoglobulins ; Lung cancer ; Lung diseases ; Lung Neoplasms - blood ; Lung Neoplasms - diagnosis ; Lung Neoplasms - immunology ; Lung Neoplasms - pathology ; Medical diagnosis ; Medicine ; Medicine and Health Sciences ; Meta-analysis ; Mortality ; Multiplexing ; Neoplasm Staging ; p53 Protein ; Patients ; Physical Sciences ; Publication Bias ; Research and Analysis Methods ; Respiratory diseases ; ROC Curve ; Sensitivity ; Sensitivity analysis ; Sensitivity and Specificity ; Studies ; Systematic review
É parte de: PloS one, 2017-07, Vol.12 (7), p.e0182117-e0182117
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
ObjectType-Review-4
content type line 23
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Competing Interests: The authors have declared that no competing interests exist.
Descrição: We performed a comprehensive review and meta-analysis to evaluate the diagnostic values of serum single and multiplex tumor-associated autoantibodies (TAAbs) in patients with lung cancer (LC). We searched the MEDLINE and EMBASE databases for relevant studies investigating serum TAAbs for the diagnosis of LC. The primary outcomes included sensitivity, specificity and accuracy of the test. The systematic review and meta-analysis included 31 articles with single autoantibody and 39 with multiplex autoantibodies. Enzyme-linked immunosorbent assay (ELISA) was the most common detection method. For the diagnosis of patients with all stages and early-stage LC, different single or combinations of TAAbs demonstrated different diagnostic values. Although individual TAAbs showed low diagnostic sensitivity, the combination of multiplex autoantibodies offered relatively high sensitivity. For the meta-analysis of a same panel of autoantibodies in patients at all stages of LC, the pooled results of the panel of 6 TAAbs (p53, NY-ESO-1, CAGE, GBU4-5, Annexin 1 and SOX2) were: sensitivity 38% (95% CI 0.35-0.40), specificity 89% (95% CI 0.86-0.91), diagnostic accuracy 65.9% (range 62.5-81.8%), AUC 0.52 (0.48-0.57), while the summary estimates of 7 TAAbs (p53, CAGE, NY-ESO-1, GBU4-5, SOX2, MAGE A4 and Hu-D) were: sensitivity 47% (95% CI 0.34-0.60), specificity 90% (95% CI 0.89-0.92), diagnostic accuracy 78.4% (range 67.5-88.8%), AUC 0.90 (0.87-0.93). For the meta-analysis of the same panel of autoantibodies in patients at early-stage of LC, the sensitivities of both panels of 7 TAAbs and 6 TAAbs were 40% and 29.7%, while their specificities were 91% and 87%, respectively. Serum single or combinations of multiplex autoantibodies can be used as a tool for the diagnosis of LC patients at all stages or early-stage, but the combination of multiplex autoantibodies shows a higher detection capacity; the diagnostic value of the panel of 7 TAAbs is higher than the panel of 6 TAAbs, which may be used as potential biomarkers for the early detection of LC.
Editor: United States: Public Library of Science
Idioma: Inglês

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Serum tumor-associated autoantibodies as diagnostic biomarkers for lung cancer: A systematic review and meta-analysis

Tang, Zhen-Ming ; Ling, Zhou-Gui ; Wang, Chun-Mei ; Wu, Yan-Bin ; Kong, Jin-Liang De Re, Valli

United States: Public Library of Science

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