scholarly journals Cell division cycle associated 1 as a novel prognostic biomarker and therapeutic target for oral cancer

2016 ◽  
Vol 49 (4) ◽  
pp. 1385-1393 ◽  
Author(s):  
Phung Manh Thang ◽  
Atsushi Takano ◽  
Yoshihiro Yoshitake ◽  
Masanori Shinohara ◽  
Yoshinori Murakami ◽  
...  
Keyword(s):  
Cell Division ◽  
Oral Cancer ◽  
Therapeutic Target ◽  
Prognostic Biomarker ◽  
Cell Division Cycle

scholarly journals Cell division cycle associated 8: A novel diagnostic and prognostic biomarker for hepatocellular carcinoma

2021 ◽  
Author(s):  
Xiao‐Han Cui ◽  
Qiu‐Ju Peng ◽  
Ren‐Zhi Li ◽  
Xia‐Jie Lyu ◽  
Chun‐Fu Zhu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Division ◽  
Prognostic Biomarker ◽  
Cell Division Cycle

Abstract 3115: Characterization of CDCA1 protein as a novel prognostic biomarker and therapeutic target for oral cancer

2017 ◽  
Author(s):  
Thang Manh Phung ◽  
Atsushi Takano ◽  
Yoshihiro Yoshitake ◽  
Masanori Shinohara ◽  
Yoshinori Murakami ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Therapeutic Target ◽  
Prognostic Biomarker

Cell division cycle associated gene 1 as a new therapeutic target for melanoma

2016 ◽  
Vol 84 (1) ◽  
pp. e175
Author(s):  
Aki Tokuzumi ◽  
Satoshi Fukushima ◽  
Azusa Miyashita ◽  
Junji Yamashita ◽  
Satoshi Nakahara ◽  
...  
Keyword(s):  
Cell Division ◽  
Therapeutic Target ◽  
Cell Division Cycle

scholarly journals Characterization of KIF11 as a novel prognostic biomarker and therapeutic target for oral cancer

2017 ◽  
Author(s):  
Kayo Daigo ◽  
Atsushi Takano ◽  
Thang Manh ◽  
Yoshihiro Yoshitake ◽  
Masanori Shinohara ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Therapeutic Target ◽  
Prognostic Biomarker

scholarly journals MO18-3 Identification of URST4 protein as a novel prognostic biomarker and therapeutic target for oral cancer

2021 ◽  
Vol 32 ◽  
pp. S308
Author(s):  
Ming Zhu ◽  
Atsushi Takano ◽  
Bayarbat Tsevegjav ◽  
Yoshihiro Yoshitake ◽  
Masanori Shinohara ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Therapeutic Target ◽  
Prognostic Biomarker

scholarly journals Identification of cell division cycle 20 as a candidate biomarker and potential therapeutic target in bladder cancer using bioinformatics analysis

2020 ◽  
Vol 40 (7) ◽  
Author(s):  
Peilin Shen ◽  
Xuejun He ◽  
Lin Lan ◽  
Yingkai Hong ◽  
Mingen Lin
Keyword(s):  
Gene Expression ◽  
Bladder Cancer ◽  
Cell Division ◽  
Mrna Expression ◽  
Therapeutic Target ◽  
Gene Expression Omnibus ◽  
Cell Division Cycle ◽  
Hub Genes ◽  
Potential Therapeutic Target ◽  
Protein Protein Interaction

Abstract Purpose: As bladder cancer (BC) is very heterogeneous and complicated in the genetic level, exploring genes to serve as biomarkers and therapeutic targets is practical. Materials and methods: We searched Gene Expression Omnibus (GEO) and downloaded the eligible microarray datasets. After intersection analysis for identified differentially expressed genes (DEGs) of included datasets, overlapped DEGs were identified and subsequently analyzed with Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Protein–Protein Interaction (PPI) and hub genes identification. Hub genes were further analyzed with mRNA expression comparation in Oncomine and Gene Expression Profiling Interactive Analysis (GEPIA) database, proteomics-based validation in The Human Protein Atlas (THPA) and survival analysis in GEO and Oncolnc database. Results: We analyzed five eligible GEO datasets and identified 76 overlapped DEGs mapped into PPI network with 459 edges which were mainly enriched in cell cycle pathway and related terms in GO and KEGG analysis. Among five identified hub genes, which are Cyclin-Dependent Kinase 1 (CDK1), Ubiquitin-Conjugating Enzyme E2 C (UBE2C), Cell Division Cycle 20 (CDC20), Microtubule Nucleation Factor (TPX2) and Cell Division Cycle Associated 8 (CDCA8); CDC20 and CDCA8 were confirmed as significant in mRNA expression comparation and proteomics-based validation. However, only CDC20 was considered prognostically significant in both GEO and Oncolnc database. Conclusions: CDC20 and CDCA8 were identified as candidate diagnostic biomarkers for BC in the present study; however, only CDC20 was validated as prognostically valuable and may possibly serve as a candidate prognostic biomarker and potential therapeutic target. Still, further validation studies are essential and indispensable.

Validation of secreted protein OASEP1 as a prognostic biomarker and therapeutic target for oral cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e18520-e18520
Author(s):  
Atsushi Takano ◽  
Yoshihiro Yoshitake ◽  
Masanori Shinohara ◽  
Yataro Daigo
Keyword(s):  
Oral Cancer ◽  
Therapeutic Target ◽  
Prognostic Biomarker ◽  
Culture Media ◽  
Growth Effect ◽  
Rank Test ◽  
Secreted Protein ◽  
Curative Surgery ◽  
Clinicopathological Significance ◽  
High Level

e18520 Background: Although current treatments for oral cancer (OC) include surgery, radiotherapy, and chemotherapy, their effectiveness is still limited. Therefore, the development of novel prognostic biomarkers and/or therapeutic agents is urgently needed. Methods: Our strategies are as follows: i) Identification of up-regulated genes in cancers by means of gene expression microarray, ii) Validation of clinicopathological significance of their protein expression by tissue microarray, iii) Examination of their growth effect on cancer cells by siRNAs and active ligand protein for growth assays. Results: We selected a secreted protein, OASEP1 (OC-associated serum protein 1) as a candidate. Real-Time qPCR and Western blotting showed that OASEP1 gene and its gene product were expressed in the majority of OC cells. Immunohistochemical staining showed that OASEP1 expression was observed in 73 (74.4%) of 98 OCs that had undergone curative surgery. In addition, high level of OASEP1 expression was associated with poor prognosis for OC patients ( P = 0.0158, by log-rank test). Suppression of OASEP1 expression by siRNAs for OASEP1 (si-OASEP1) significantly suppressed the growth and invasion of OC cell lines. Flowcytometry and live cell imaging showed that si-OASEP1 induced the apoptosis of OC cells. siRNAs against OASEP1-receptor also suppressed the growth of OC cells. Addition of active OASEP1 recombinant protein into culture media enhanced the growth of OC cells probably through AKT pathway. Our data suggest that OASEP1 and its receptor could play a significant role in the growth of OC cells in probable autocrine/paracrine manner. Conclusions: OASEP1 is a possible prognostic biomarker and therapeutic target for OC.

Abstract 1274: Characterization of UROC1 protein as a novel prognostic biomarker and a therapeutic target for oral cancer

2016 ◽  
Author(s):  
Thang Manh Phung ◽  
Atsushi Takano ◽  
Yoshihiro Yoshitake ◽  
Masanori Shinohara ◽  
Yohinori Murakami ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Therapeutic Target ◽  
Prognostic Biomarker
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