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231226s2023 xx |||||o 00| ||eng c |
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|a 10.1016/j.clim.2022.109206
|2 doi
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|a pubmed24n1167.xml
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|a (DE-627)NLM350400857
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|a (NLM)36528251
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|a (PII)S1521-6616(22)00287-X
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Wang, Yulin
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Autoantibody signatures discovered by HuProt protein microarray to enhance the diagnosis of lung cancer
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|c 2023
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 17.01.2023
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|a Date Revised 12.02.2023
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Copyright © 2022 Elsevier Inc. All rights reserved.
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|a This study aims to discover novel autoantibodies against tumor-associated antigens (TAAs) and establish diagnostic models for assisting in the diagnosis of lung cancer and discrimination of pulmonary nodules (PNs). Ten autoantibodies to TAAbs (TAAbs) were discovered by means of protein microarray and their serum level was also higher in 212 LC patients than that in 212 NC of validation cohort 1 (P < 0.05). The model 1 comprising 4 TAAbs and CEA reached an AUC of 0.813 (95%CI: 0.762-0.864) for diagnosing LC from normal individuals. Five TAAbs existed a significant difference between 105 malignant pulmonary nodules (MPNs) and 105 benign pulmonary nodules (BPNs) patients in validation cohort 2 (P < 0.05). Model 2 could distinguish MPNs from BPNs with an AUC of 0.845. High-throughput protein microarray is an efficient approach in discovering novel TAAbs which could be used as biomarkers in lung cancer diagnosis
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Autoantibodies
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|a Diagnostic model
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| 650 |
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|a HuProt protein microarray
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| 650 |
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|a Lung cancer
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| 650 |
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|a Autoantibodies
|2 NLM
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| 650 |
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|a Biomarkers, Tumor
|2 NLM
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| 650 |
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|a Antigens, Neoplasm
|2 NLM
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| 700 |
1 |
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|a Li, Jiaqi
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zhang, Xue
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Liu, Man
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Ji, Longtao
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Yang, Ting
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wang, Kaijuan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Song, Chunhua
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wang, Peng
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Ye, Hua
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Shi, Jianxiang
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Dai, Liping
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Clinical immunology (Orlando, Fla.)
|d 1999
|g 246(2023) vom: 20. Jan., Seite 109206
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|x 1521-7035
|7 nnns
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| 773 |
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|g volume:246
|g year:2023
|g day:20
|g month:01
|g pages:109206
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|u http://dx.doi.org/10.1016/j.clim.2022.109206
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