Literature DB >> 27468574

Detecting of p16 Autoantibody as a Potential Early Diagnostic Serum Biomarker in Patients with Cervical Cancer.

Mingmei Huangfu, Linlin Liu, Shuang Xu, Siyao Li, Kuo Jiang, Baosheng Sun, Kuang-Hui Lee, Shilong Sun.   

Abstract

BACKGROUND: Over-expression of tumor-associated antigens (TAAs) may trigger secretion of their auto-antibodies. The present work was designed to test whether circulating antibody to P16 protein-derived antigens was altered in cervical cancer.
METHODS: 141 cases of cervical cancer patients, 133 cases of cervical benign tumor patients, and 153 healthy volunteers matched in age were recruited. The level of circulating P16 auto-antibody was tested using an ELISA developed in-house with linear peptide antigens derived from the P16 protein.
RESULTS: The P16 auto-antibody in the malignant tumor group had a significantly higher level than the healthy control group and the benign tumor group (t = 4.016, p < 0.001; t = 3.879, p < 0.001). Patients with stage I cervical cancer have the highest level of P16 autoantibody and the sensitivity against > 90% specificity was 20.3%.
CONCLUSIONS: The circulating auto-antibody to P16 may be one of a series of potential biomarkers with early prognostic values for cervical cancer.

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Year:  2016        PMID: 27468574     DOI: 10.7754/clin.lab.2015.151024

Source DB:  PubMed          Journal:  Clin Lab        ISSN: 1433-6510            Impact factor:   1.138


  3 in total

1.  Circulating anti-p16a IgG autoantibodies as a potential prognostic biomarker for non-small cell lung cancer.

Authors:  Huan Zhao; Xuan Zhang; Zhifeng Han; Yanjun Wang
Journal:  FEBS Open Bio       Date:  2018-10-18       Impact factor: 2.693

2.  Further Study of Circulating Antibodies to P16, CD25 and FOXP3 in Hepatocellular Carcinoma.

Authors:  Jiaxin Wang; Yangchun Xu; Yanjun Wang; Xuan Zhang; Guizhen Zhang
Journal:  Onco Targets Ther       Date:  2019-12-02       Impact factor: 4.147

3.  Discovery and validation of novel biomarkers for detection of cervical cancer.

Authors:  Zigang Li; Jianhua Chen; Shaobo Zhao; Yajun Li; Jie Zhou; Jianghong Liang; Huifang Tang
Journal:  Cancer Med       Date:  2021-02-23       Impact factor: 4.452

  3 in total

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