Literature DB >> 24723343

Biomarker discovery for neuroendocrine cervical cancer.

Li-Hsun Lin1, Shing-Jyh Chang, Ren-Yu Hu, Meng-Wei Lin, Szu-Ting Lin, Shun-Hong Huang, Ping-Chiang Lyu, Hsiu-Chuan Chou, Zih-Yin Lai, Yung-Jen Chuang, Hong-Lin Chan.   

Abstract

Neuroendocrine cervical cancer is an aggressive but rare form of cervical cancer. The majority of neuroendocrine cervical cancer patients present with advanced-stage diseases. However, the limited numbers of neuroendocrine tumor markers are insufficient for clinical purposes. Thus, we used a proteomic approach combining lysine labeling 2D-DIGE and MALDI-TOF MS to investigate the biomarkers for neuroendocrine cervical cancer. By analyzing the global proteome alteration between the neuroendocrine cervical cancer line (HM-1) and non-neuroendocrine cervical cancer lines (CaSki cells, ME-180 cells, and Hela cells), we identified 82 proteins exhibiting marked changes between HM-1 and CaSki cells, and between ME-180 and Hela cells. Several proteins involved in protein folding, cytoskeleton, transcription control, signal transduction, glycolysis, and redox regulation exhibited significant changes in abundance. Proteomic and immunoblot analyses indicated respective 49.88-fold and 25-fold increased levels of transgelin in HM-1 cells compared with that in other non-neuroendocrine cervical cancer cell lines, implying that transgelin is a biomarker for neuroendocrine cervical cancer. In summary, we used a comprehensive neuroendocrine/non-neuroendocrine cervical cancer model based proteomic approach for identifying neuroendocrine cervical cancer markers, which might contribute to the prognosis and diagnosis of neuroendocrine cervical cancer.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  2D-DIGE; Biomarker; Neuroendocrine cervical cancer; Proteomics

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Year:  2014        PMID: 24723343     DOI: 10.1002/elps.201400014

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  3 in total

1.  Proteomic Analysis of Normal and Cancer Cervical Cell Lines Reveals Deregulation of Cytoskeleton-associated Proteins.

Authors:  Kalliopi I Pappa; Vasiliki Lygirou; Georgia Kontostathi; Jerome Zoidakis; Manousos Makridakis; Konstantinos Vougas; George Daskalakis; Alexander Polyzos; Nicholas P Anagnou
Journal:  Cancer Genomics Proteomics       Date:  2017 Jul-Aug       Impact factor: 4.069

2.  Proteomic analysis of human cervical adenocarcinoma mucus to identify potential protein biomarkers.

Authors:  Zhifang Ma; Jie Chen; Ting Luan; Chengzhuo Chu; Wangfei Wu; Yichao Zhu; Yun Gu
Journal:  PeerJ       Date:  2020-07-28       Impact factor: 2.984

3.  Targeting UDP-glucose dehydrogenase inhibits ovarian cancer growth and metastasis.

Authors:  Li-Hsun Lin; Hsiu-Chuan Chou; Shing-Jyh Chang; En-Chi Liao; Yi-Ting Tsai; Yu-Shan Wei; Hsin-Yi Chen; Meng-Wei Lin; Yi-Shiuan Wang; Yu-An Chien; Xin-Ru Yu; Hong-Lin Chan
Journal:  J Cell Mol Med       Date:  2020-09-07       Impact factor: 5.310

  3 in total

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