FGB and FGG derived from plasma exosomes as potential biomarkers to distinguish benign from malignant pulmonary nodules

被引:0
|
作者
Muyu Kuang
Yizhou Peng
Xiaoting Tao
Zilang Zhou
Hengyu Mao
Lingdun Zhuge
Yihua Sun
Huibiao Zhang
机构
[1] Fudan University,Huadong Hospital
[2] Fudan University Shanghai Cancer Center,undefined
[3] The First High School,undefined
来源
关键词
Exosome; Pulmonary nodules; FGB; FGG;
D O I
暂无
中图分类号
学科分类号
摘要
Previous proteomic analysis (label-free) of plasma exosomes revealed that the expression of FGG and FGB was significantly higher in the malignant pulmonary nodules group, compared to the benign pulmonary nodules group. The present study was performed to evaluate the role of plasma exosomal proteins FGB and FGG in the diagnosis of benign and malignant pulmonary nodules. We examined the expression levels of FGB and FGG in plasma exosomes from 63 patients before surgery. Postoperative pathological diagnosis confirmed that 43 cases were malignant and 20 cases were benign. The ROC curve was used to describe the sensitivity, specificity, area under the curve (AUC) of the biomarker and the corresponding 95% confidence interval. We confirmed that the expression levels of FGB and FGG were higher in the plasma exosomes of malignant group than in the benign group. The sensitivity and AUC of FGB combined with FGG detection to determine the nature of pulmonary nodules are superior to single FGB or FGG detection. FGB and FGG might represent novel and sensitive biomarker to distinguish benign from malignant pulmonary nodules.
引用
收藏
页码:557 / 564
页数:7
相关论文
共 50 条
  • [1] FGB and FGG derived from plasma exosomes as potential biomarkers to distinguish benign from malignant pulmonary nodules
    Kuang, Muyu
    Peng, Yizhou
    Tao, Xiaoting
    Zhou, Zilang
    Mao, Hengyu
    Zhuge, Lingdun
    Sun, Yihua
    Zhang, Huibiao
    CLINICAL AND EXPERIMENTAL MEDICINE, 2019, 19 (04) : 557 - 564
  • [2] Proteomic analysis of plasma exosomes to differentiate malignant from benign pulmonary nodules
    Muyu Kuang
    Xiaoting Tao
    Yizhou Peng
    Wenjing Zhang
    Yafang Pan
    Lei Cheng
    Chongze Yuan
    Yue Zhao
    Hengyu Mao
    Lingdun Zhuge
    Zhenhua Zhou
    Haiquan Chen
    Yihua Sun
    Clinical Proteomics, 2019, 16
  • [3] Proteomic analysis of plasma exosomes to differentiate malignant from benign pulmonary nodules
    Kuang, Muyu
    Tao, Xiaoting
    Peng, Yizhou
    Zhang, Wenjing
    Pan, Yafang
    Cheng, Lei
    Yuan, Chongze
    Zhao, Yue
    Mao, Hengyu
    Zhuge, Lingdun
    Zhou, Zhenhua
    Chen, Haiquan
    Sun, Yihua
    CLINICAL PROTEOMICS, 2019, 16 (1)
  • [4] Liquid biopsies to distinguish malignant from benign pulmonary nodules
    Tao, Rui
    Cao, Wei
    Zhu, Feng
    Nie, Jinfu
    Wang, Hongzhi
    Wang, Lixiang
    Liu, Pengcheng
    Chen, Hailong
    Hong, Bo
    Zhao, Dahai
    THORACIC CANCER, 2021, 12 (11) : 1647 - 1655
  • [5] An integrated proteomic classifier to distinguish benign from malignant pulmonary nodules
    Jia, Bin
    Wang, Tingting
    Pan, Liangxuan
    Du, Xiaoyao
    Yang, Jing
    Gao, Fei
    Liao, Lujian
    Guo, Bianqin
    Dong, Junqiang
    CLINICAL PROTEOMICS, 2025, 22 (01)
  • [6] A classifier integrating plasma biomarkers and radiological characteristics for distinguishing malignant from benign pulmonary nodules
    Lin, Yanli
    Leng, Qixin
    Jiang, Zhengran
    Guarnera, Maria A.
    Zhou, Yun
    Chen, Xueqi
    Wang, Heping
    Zhou, Wenxian
    Cai, Ling
    Fang, HongBin
    Li, Jie
    Jin, Hairong
    Wang, Linghui
    Yi, Shaoqiong
    Lu, Wei
    Evers, David
    Fowle, Carol B.
    Su, Yun
    Jiang, Feng
    INTERNATIONAL JOURNAL OF CANCER, 2017, 141 (06) : 1240 - 1248
  • [7] Non-small cell lung tumor-derived autoantibodies can distinguish benign from malignant pulmonary nodules
    Lastwika, Kristin J.
    Kargl, Julia
    Zhang, Yuzheng
    Zhu, Xiaodong
    Shelley, David
    Lo, Edward
    Wu, Wei
    Pipavath, Sudhakar N.
    Kinahan, Paul E.
    Houghton, A. McGarry
    Lampe, Paul D.
    CLINICAL CANCER RESEARCH, 2018, 24 (17)
  • [8] Serum phosphatidylethanolamine levels distinguish benign from malignant solitary pulmonary nodules and represent a potential diagnostic biomarker for lung cancer
    Fahrmann, Johannes F.
    Grapov, Dmitry
    DeFelice, Brian C.
    Taylor, Sandra
    Kim, Kyoungmi
    Kelly, Karen
    Wikoff, William R.
    Pass, Harvey
    Rom, William N.
    Fiehn, Oliver
    Miyamoto, Suzanne
    CANCER BIOMARKERS, 2016, 16 (04) : 609 - 617
  • [9] EHR-driven Machine-learning Model to Distinguish Benign From Malignant Pulmonary Nodules
    Lasko, T. A.
    Still, J. M.
    Li, T. Z.
    Landman, B. A.
    Heideman, B. E.
    Kammer, M. N.
    Deppen, S. A.
    Grogan, E. L.
    Antic, S.
    Maldonado, F.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2023, 207
  • [10] The application of image analysis techniques to distinguish benign from malignant solitary pulmonary nodules imaged on CT
    McNitt-Gray, MF
    Hart, EM
    Wyckoff, N
    Sayre, JW
    Goldin, JG
    Aberle, DR
    MEDICAL IMAGING 1998: IMAGE PROCESSING, PTS 1 AND 2, 1998, 3338 : 1225 - 1233