Cargando…

Glycomic Signatures of Plasma IgG Improve Preoperative Prediction of the Invasiveness of Small Lung Nodules

Preoperative assessment of tumor invasiveness is essential to avoid overtreatment for patients with small-sized ground-glass nodules (GGNs) of 10 mm or less in diameter. However, it is difficult to determine the pathological state by computed tomography (CT) examination alone. Aberrant glycans has e...

Descripción completa

Detalles Bibliográficos
Autores principales: Zou, Xia, Yao, Feng, Yang, Fang, Zhang, Fang, Xu, Zhijue, Shi, Jingjing, Kuno, Atsushi, Zhao, Heng, Zhang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982969/
https://www.ncbi.nlm.nih.gov/pubmed/31861777
http://dx.doi.org/10.3390/molecules25010028
_version_ 1783491411516063744
author Zou, Xia
Yao, Feng
Yang, Fang
Zhang, Fang
Xu, Zhijue
Shi, Jingjing
Kuno, Atsushi
Zhao, Heng
Zhang, Yan
author_facet Zou, Xia
Yao, Feng
Yang, Fang
Zhang, Fang
Xu, Zhijue
Shi, Jingjing
Kuno, Atsushi
Zhao, Heng
Zhang, Yan
author_sort Zou, Xia
collection PubMed
description Preoperative assessment of tumor invasiveness is essential to avoid overtreatment for patients with small-sized ground-glass nodules (GGNs) of 10 mm or less in diameter. However, it is difficult to determine the pathological state by computed tomography (CT) examination alone. Aberrant glycans has emerged as a tool to identify novel potential disease biomarkers. In this study, we used a lectin microarray-based strategy to investigate whether glycosylation changes in plasma immunoglobulin G (IgG) provide additional information about the invasiveness of small GGNs before surgery. Two independent cohorts (discovery set, n = 92; test set, n = 210) of GGN patients were used. Five of 45 lectins (Sambucus nigra agglutinin, SNA; Datura stramonium agglutinin, DSA; Galanthus nivalis agglutinin, GNA; Euonymus europaeus lectin, EEL; and Vicia villosa agglutinin, VVA) were identified as independent factors associated with pathological invasiveness of small GGNs (p < 0.01). Receiver-operating characteristic (ROC) curve analysis indicated the combination of these five lectins could significantly improve the accuracy of CT in diagnosing invasive GGNs, with an area under the curve (AUC) of 0.792 (p < 0.001), a sensitivity of 74.6%, and specificity of 74.4%, which was superior to current clinical biomarkers. These results suggest that the multilectin assay based on plasma IgG glycosylation may be a useful in vitro complementary test to enhance preoperative determination of the invasiveness of GGNs and guide surgeons to select proper clinical management to avoid overtreatment.
format Online
Article
Text
id pubmed-6982969
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-69829692020-02-06 Glycomic Signatures of Plasma IgG Improve Preoperative Prediction of the Invasiveness of Small Lung Nodules Zou, Xia Yao, Feng Yang, Fang Zhang, Fang Xu, Zhijue Shi, Jingjing Kuno, Atsushi Zhao, Heng Zhang, Yan Molecules Article Preoperative assessment of tumor invasiveness is essential to avoid overtreatment for patients with small-sized ground-glass nodules (GGNs) of 10 mm or less in diameter. However, it is difficult to determine the pathological state by computed tomography (CT) examination alone. Aberrant glycans has emerged as a tool to identify novel potential disease biomarkers. In this study, we used a lectin microarray-based strategy to investigate whether glycosylation changes in plasma immunoglobulin G (IgG) provide additional information about the invasiveness of small GGNs before surgery. Two independent cohorts (discovery set, n = 92; test set, n = 210) of GGN patients were used. Five of 45 lectins (Sambucus nigra agglutinin, SNA; Datura stramonium agglutinin, DSA; Galanthus nivalis agglutinin, GNA; Euonymus europaeus lectin, EEL; and Vicia villosa agglutinin, VVA) were identified as independent factors associated with pathological invasiveness of small GGNs (p < 0.01). Receiver-operating characteristic (ROC) curve analysis indicated the combination of these five lectins could significantly improve the accuracy of CT in diagnosing invasive GGNs, with an area under the curve (AUC) of 0.792 (p < 0.001), a sensitivity of 74.6%, and specificity of 74.4%, which was superior to current clinical biomarkers. These results suggest that the multilectin assay based on plasma IgG glycosylation may be a useful in vitro complementary test to enhance preoperative determination of the invasiveness of GGNs and guide surgeons to select proper clinical management to avoid overtreatment. MDPI 2019-12-20 /pmc/articles/PMC6982969/ /pubmed/31861777 http://dx.doi.org/10.3390/molecules25010028 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zou, Xia
Yao, Feng
Yang, Fang
Zhang, Fang
Xu, Zhijue
Shi, Jingjing
Kuno, Atsushi
Zhao, Heng
Zhang, Yan
Glycomic Signatures of Plasma IgG Improve Preoperative Prediction of the Invasiveness of Small Lung Nodules
title Glycomic Signatures of Plasma IgG Improve Preoperative Prediction of the Invasiveness of Small Lung Nodules
title_full Glycomic Signatures of Plasma IgG Improve Preoperative Prediction of the Invasiveness of Small Lung Nodules
title_fullStr Glycomic Signatures of Plasma IgG Improve Preoperative Prediction of the Invasiveness of Small Lung Nodules
title_full_unstemmed Glycomic Signatures of Plasma IgG Improve Preoperative Prediction of the Invasiveness of Small Lung Nodules
title_short Glycomic Signatures of Plasma IgG Improve Preoperative Prediction of the Invasiveness of Small Lung Nodules
title_sort glycomic signatures of plasma igg improve preoperative prediction of the invasiveness of small lung nodules
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982969/
https://www.ncbi.nlm.nih.gov/pubmed/31861777
http://dx.doi.org/10.3390/molecules25010028
work_keys_str_mv AT zouxia glycomicsignaturesofplasmaiggimprovepreoperativepredictionoftheinvasivenessofsmalllungnodules
AT yaofeng glycomicsignaturesofplasmaiggimprovepreoperativepredictionoftheinvasivenessofsmalllungnodules
AT yangfang glycomicsignaturesofplasmaiggimprovepreoperativepredictionoftheinvasivenessofsmalllungnodules
AT zhangfang glycomicsignaturesofplasmaiggimprovepreoperativepredictionoftheinvasivenessofsmalllungnodules
AT xuzhijue glycomicsignaturesofplasmaiggimprovepreoperativepredictionoftheinvasivenessofsmalllungnodules
AT shijingjing glycomicsignaturesofplasmaiggimprovepreoperativepredictionoftheinvasivenessofsmalllungnodules
AT kunoatsushi glycomicsignaturesofplasmaiggimprovepreoperativepredictionoftheinvasivenessofsmalllungnodules
AT zhaoheng glycomicsignaturesofplasmaiggimprovepreoperativepredictionoftheinvasivenessofsmalllungnodules
AT zhangyan glycomicsignaturesofplasmaiggimprovepreoperativepredictionoftheinvasivenessofsmalllungnodules