High-Throughput Peptide Arrays Identify Potential Diagnostic Autoantibody Signatures in Early-Stage Lung Adenocarcinoma.
In: Cancer Epidemiology, Biomarkers & Prevention, Jg. 32 (2023-05-01), Heft 5, S. 726-738
Online
academicJournal
Zugriff:
Background: Early diagnosis is critical to lung adenocarcinoma patients' survival but faces inadequacies in convenient early detection. Methods: We applied a comprehensive microarray of 130,000 peptides to detect "autoantibody signature" that is autoantibodies binding to mimotopes for early detection of stage 0-I LUAD. Plasma samples were collected from 147 early-stage lung adenocarcinoma (Early-LUAD), 108 benign lung disease (BLD), and 122 normal healthy controls (NHC). Clinical characteristics, low-dose CT (LDCT), and laboratory tests were incorporated into correlation analysis. Results: We identified 143 and 133 autoantibody signatures, distinguishing Early-LUAD from NHC/BLD in the discovery cohort. Autoantibody signatures significantly correlated with age, stage, tumor size, basophil count, and IgM level (P < 0.05). The random forest models based on differential autoantibody signatures displayed AUC of 0.92 and 0.87 to discern Early-LUAD from NHC/BLD in the validation cohort, respectively. Compared with LDCT, combining autoantibody signature and LDCT improved the positive predictive value from 50% to 78.33% (P = 0.049). In addition, autoantibody signatures displayed higher sensitivity of 72.4% to 81.0% compared with the combinational tumor markers (cyfra21.1, NSE, SCC, ProGRP) with a sensitivity of 22.4% (P = 0.000). Proteins matched by differential peptides were enriched in cancer-related PI3K/Akt, MAPK, and Wnt pathways. Overlaps between matched epitopes and autoantibody signatures illustrated the underlying engagement of autoantibodies in immune recognition. Conclusions: Collectively, autoantibody signatures identified by a high-throughput peptide microarray have the potential to detect Early-LUAD, which could assist LDCT to better diagnose Early-LUAD. [ABSTRACT FROM AUTHOR]
Copyright of Cancer Epidemiology, Biomarkers & Prevention is the property of American Association for Cancer Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Titel: |
High-Throughput Peptide Arrays Identify Potential Diagnostic Autoantibody Signatures in Early-Stage Lung Adenocarcinoma.
|
---|---|
Autor/in / Beteiligte Person: | Luo, Rongrong ; Zhong, Pei ; Li, Xiying ; Cai, Juan ; Tao, Yimin ; Xiong, Bangzhu ; Zheng, Hancheng ; Zhang, Zhishang ; Tang, Le ; Yao, Jiarui ; Li, Yingrui ; Shi, Yuankai ; Han, Xiaohong |
Link: | |
Zeitschrift: | Cancer Epidemiology, Biomarkers & Prevention, Jg. 32 (2023-05-01), Heft 5, S. 726-738 |
Veröffentlichung: | 2023 |
Medientyp: | academicJournal |
ISSN: | 1055-9965 (print) |
DOI: | 10.1158/1055-9965.EPI-22-0948 |
Sonstiges: |
|