Literature DB >> 26543076

Identification of Novel Biomarker and Therapeutic Target Candidates for Diagnosis and Treatment of Follicular Adenoma.

Xianyin Lai1, Shaoxiong Chen2.   

Abstract

Follicular adenoma is a type of benign and encapsulated nodule in the thyroid gland, but some adenomas have the potential to progress to follicular carcinoma. Therefore, it is important to monitor the state and progress of follicular adenoma in the clinic and discover drug development targets for the treatment of follicular adenoma to prevent its worsening to follicular carcinoma. Currently, the study of biomarkers and therapeutic targets lacks applications of up-to-date technologies, including proteomics and bioinformatics. To discover novel protein biomarker and therapeutic target candidates, a liquid chromatography-tandem mass spectrometry approach was applied to directly compare follicular adenoma with normal thyroid tissue samples. The proteomics analysis revealed 114 protein biomarker candidates out of 1,780 identified and quantified proteins. A comprehensive approach to prioritize the biomarker candidates by category and rank revealed CD63, DDB1, TYMP, VDAC2, and DCXR as the top five biomarker candidates. Upstream regulator analysis using the Ingenuity Pathway Analysis (IPA) software discovered four therapeutic target candidates for follicular adenoma, including TGFB1, MYC, ANGPT2, and NFE2L2. This study provided biomarker and therapeutic target candidates for a follow-up study, which will facilitate monitoring and treatment of follicular adenoma. Copyright
© 2015, International Institute of Anticancer Research (Dr. John G. Delinasios), All rights reserved.

Entities:  

Keywords:  Adenoma; biomarker; follicular; mass spectrometry; therapeutic target

Mesh:

Substances:

Year:  2015        PMID: 26543076

Source DB:  PubMed          Journal:  Cancer Genomics Proteomics        ISSN: 1109-6535            Impact factor:   4.069


  3 in total

Review 1.  VDAC2-specific cellular functions and the underlying structure.

Authors:  Shamim Naghdi; György Hajnóczky
Journal:  Biochim Biophys Acta       Date:  2016-04-23

2.  Identification of novel biomarker and therapeutic target candidates for acute intracerebral hemorrhage by quantitative plasma proteomics.

Authors:  Guo-Chun Li; Lina Zhang; Ming Yu; Haiyu Jia; Ting Tian; Junqin Wang; Fuqiang Wang; Ling Zhou
Journal:  Clin Proteomics       Date:  2017-04-26       Impact factor: 3.988

3.  Artificial intelligence defines protein-based classification of thyroid nodules.

Authors:  Yaoting Sun; Sathiyamoorthy Selvarajan; Zelin Zang; Wei Liu; Yi Zhu; Hao Zhang; Wanyuan Chen; Hao Chen; Lu Li; Xue Cai; Huanhuan Gao; Zhicheng Wu; Yongfu Zhao; Lirong Chen; Xiaodong Teng; Sangeeta Mantoo; Tony Kiat-Hon Lim; Bhuvaneswari Hariraman; Serene Yeow; Syed Muhammad Fahmy Alkaff; Sze Sing Lee; Guan Ruan; Qiushi Zhang; Tiansheng Zhu; Yifan Hu; Zhen Dong; Weigang Ge; Qi Xiao; Weibin Wang; Guangzhi Wang; Junhong Xiao; Yi He; Zhihong Wang; Wei Sun; Yuan Qin; Jiang Zhu; Xu Zheng; Linyan Wang; Xi Zheng; Kailun Xu; Yingkuan Shao; Shu Zheng; Kexin Liu; Ruedi Aebersold; Haixia Guan; Xiaohong Wu; Dingcun Luo; Wen Tian; Stan Ziqing Li; Oi Lian Kon; Narayanan Gopalakrishna Iyer; Tiannan Guo
Journal:  Cell Discov       Date:  2022-09-06       Impact factor: 38.079

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.