Literature DB >> 23600803

Identification of drug candidate against prostate cancer from the aspect of somatic cell reprogramming.

Takeo Kosaka1, Go Nagamatsu, Shigeru Saito, Mototsugu Oya, Toshio Suda, Katsuhisa Horimoto.   

Abstract

Considering the similarities between the transcriptional programming involved in cancer progression and somatic cell reprogramming, we tried to identify drugs that would be effective against malignant cancers. We used the early transposon Oct4 and Sox2 enhancer (EOS) system to select human prostate cancer (PCA) cells expressing high levels of OCT4. Patients with metastatic castration-resistant PCA that does not respond to treatment with docetaxel have few therapeutic options. The OCT4-expressing PCA cells selected using the EOS system showed increased tumorigenicity and high resistance to docetaxel, both in vitro and in vivo. By using their gene expression data, expression signature-based prediction for compound candidates identified an antiviral drug, ribavirin, as a conversion modulator from drug resistance to sensitivity. Treatment of PCA cells with ribavirin decreased their resistance against treatment with docetaxel. This indicated that ribavirin reversed the gene expression, including that of humoral factors, in the OCT4-expressing PCA cells selected using the EOS system. Thereby, ribavirin increased the efficacy of docetaxel for cancer cells. We propose a novel cell reprogramming approach, named drug efficacy reprogramming, as a new model for identifying candidate antitumor drugs.
© 2013 Japanese Cancer Association.

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Year:  2013        PMID: 23600803     DOI: 10.1111/cas.12183

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


  17 in total

Review 1.  Targeting Translation of mRNA as a Therapeutic Strategy in Cancer.

Authors:  Ipsita Pal; Maryam Safari; Marko Jovanovic; Susan E Bates; Changchun Deng
Journal:  Curr Hematol Malig Rep       Date:  2019-08       Impact factor: 3.952

2.  From drug repositioning to target repositioning: prediction of therapeutic targets using genetically perturbed transcriptomic signatures.

Authors:  Satoko Namba; Michio Iwata; Yoshihiro Yamanishi
Journal:  Bioinformatics       Date:  2022-06-24       Impact factor: 6.931

3.  Elucidating the modes of action for bioactive compounds in a cell-specific manner by large-scale chemically-induced transcriptomics.

Authors:  Michio Iwata; Ryusuke Sawada; Hiroaki Iwata; Masaaki Kotera; Yoshihiro Yamanishi
Journal:  Sci Rep       Date:  2017-01-10       Impact factor: 4.379

4.  Ribavirin suppresses hepatic lipogenesis through inosine monophosphate dehydrogenase inhibition: Involvement of adenosine monophosphate-activated protein kinase-related kinases and retinoid X receptor α.

Authors:  Shinya Satoh; Kyoko Mori; Daichi Onomura; Youki Ueda; Hiromichi Dansako; Masao Honda; Shuichi Kaneko; Masanori Ikeda; Nobuyuki Kato
Journal:  Hepatol Commun       Date:  2017-07-13

5.  Development of Orthogonal Linear Separation Analysis (OLSA) to Decompose Drug Effects into Basic Components.

Authors:  Tadahaya Mizuno; Setsuo Kinoshita; Takuya Ito; Shotaro Maedera; Hiroyuki Kusuhara
Journal:  Sci Rep       Date:  2019-02-12       Impact factor: 4.379

6.  Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm.

Authors:  Michio Iwata; Longhao Yuan; Qibin Zhao; Yasuo Tabei; Francois Berenger; Ryusuke Sawada; Sayaka Akiyoshi; Momoko Hamano; Yoshihiro Yamanishi
Journal:  Bioinformatics       Date:  2019-07-15       Impact factor: 6.937

7.  Knockdown of OCT4 suppresses the growth and invasion of pancreatic cancer cells through inhibition of the AKT pathway.

Authors:  Hai Lin; Li-Hua Sun; Wei Han; Tie-Ying He; Xin-Jian Xu; Kun Cheng; Cheng Geng; Li-Dan Su; Hao Wen; Xi-Yan Wang; Qi-Long Chen
Journal:  Mol Med Rep       Date:  2014-07-07       Impact factor: 2.952

8.  A deep learning framework for high-throughput mechanism-driven phenotype compound screening.

Authors:  Thai-Hoang Pham; Yue Qiu; Jucheng Zeng; Lei Xie; Ping Zhang
Journal:  bioRxiv       Date:  2020-07-20

9.  Coupled immune stratification and identification of therapeutic candidates in patients with lung adenocarcinoma.

Authors:  Weilei Hu; Guosheng Wang; Yundi Chen; Lonny B Yarmus; Biao Liu; Yuan Wan
Journal:  Aging (Albany NY)       Date:  2020-08-27       Impact factor: 5.682

10.  Subtype-specific collaborative transcription factor networks are promoted by OCT4 in the progression of prostate cancer.

Authors:  Ken-Ichi Takayama; Takeo Kosaka; Takashi Suzuki; Hiroshi Hongo; Mototsugu Oya; Tetsuya Fujimura; Yutaka Suzuki; Satoshi Inoue
Journal:  Nat Commun       Date:  2021-06-18       Impact factor: 14.919

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