Literature DB >> 23551598

Bioinformatics analysis reveals potential candidate drugs for cervical cancer.

Zhihong Ai1, Juan Wang, Yanli Xu, Yincheng Teng.   

Abstract

AIM: We sought to explore the mechanisms of cervical carcinoma response to epidermal growth factor (EGF), and then identify biologically active small molecules capable of targeting the sub-pathways that were dysregulated in cervical cancer cells in the response to EGF.
MATERIAL AND METHODS: Differentially expressed genes and pathways were analyzed based on the transcription profile of GSE6783, and then the differentially expressed molecules were further analyzed by several bioinformatics methods.
RESULTS: Our results suggested that EGF could promote cervical cancer cell proliferation through triggering the dysregulation of certain sub-pathways in the mitogen-activated protein kinase signaling pathway, p53 signaling pathway and pathways in cancer. Furthermore, our bioinformatics analysis revealed a total of 49 small molecules which may play a role in perturbing the response to EGF of cervical cancer cells.
CONCLUSIONS: Candidate drugs identified by our approach may provide the groundwork for a combination therapy approach for cervical cancer; however, further studies are still needed to make sure that the use of parthenolide or other anti-cancer agents is effective without inhibiting important host defense mechanisms in cervical cancer.
© 2013 The Authors. Journal of Obstetrics and Gynaecology Research © 2013 Japan Society of Obstetrics and Gynecology.

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Year:  2013        PMID: 23551598     DOI: 10.1111/jog.12022

Source DB:  PubMed          Journal:  J Obstet Gynaecol Res        ISSN: 1341-8076            Impact factor:   1.730


  5 in total

1.  Bioinformatics analyses reveal age-specific neuroimmune modulation as a target for treatment of high ethanol drinking.

Authors:  Rajiv G Agrawal; Julie A Owen; Patricia S Levin; Aveline Hewetson; Ari E Berman; Scott R Franklin; Ryan J Hogue; Yukun Chen; Chris Walz; Benjamin D Colvard; Jonathan Nguyen; Oscar Velasquez; Yazan Al-Hasan; Yuri A Blednov; Anna-Kate Fowler; Peter J Syapin; Susan E Bergeson
Journal:  Alcohol Clin Exp Res       Date:  2013-10-11       Impact factor: 3.455

2.  Identification of key candidate genes and pathways in endometrial cancer: Evidence from bioinformatics analysis.

Authors:  Sha Lv; Xiaoxiao Xu; Zhangying Wu
Journal:  Oncol Lett       Date:  2019-11-01       Impact factor: 2.967

3.  Bioinformatics Screening of Potential Biomarkers from mRNA Expression Profiles to Discover Drug Targets and Agents for Cervical Cancer.

Authors:  Md Selim Reza; Md Harun-Or-Roshid; Md Ariful Islam; Md Alim Hossen; Md Tofazzal Hossain; Shengzhong Feng; Wenhui Xi; Md Nurul Haque Mollah; Yanjie Wei
Journal:  Int J Mol Sci       Date:  2022-04-02       Impact factor: 5.923

4.  Using Advanced Bioinformatics Tools to Identify Novel Therapeutic Candidates for Age-Related Macular Degeneration.

Authors:  Urooba Nadeem; Bingqing Xie; Edward F Xie; Mark D'Souza; David Dao; Dinanath Sulakhe; Dimitra Skondra
Journal:  Transl Vis Sci Technol       Date:  2022-08-01       Impact factor: 3.048

5.  Metadata analysis to explore hub of the hub-genes highlighting their functions, pathways and regulators for cervical cancer diagnosis and therapies.

Authors:  Md Selim Reza; Md Alim Hossen; Md Harun-Or-Roshid; Mst Ayesha Siddika; Md Hadiul Kabir; Md Nurul Haque Mollah
Journal:  Discov Oncol       Date:  2022-08-22
  5 in total

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