Literature DB >> 21912809

Transcription factor networks as targets for therapeutic intervention of cancer: the breast cancer paradigm.

Michalis V Karamouzis1, Athanasios G Papavassiliou.   

Abstract

It has long been shown that many of the presently used anticancer drugs exert their effects partly through modulating the activity of vital transcription factors. The intricacy of transcriptional regulation still represents the main obstacle for the design of transcription factor-directed agents. Systematic mapping of tumor-specific transcriptional networks and application of new molecular tools have reinforced research interest and efforts in this venue. The case of breast cancer is discussed as a representative example.

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Year:  2011        PMID： 21912809      PMCID： PMC3321817          DOI： 10.2119/molmed.2011.00315

Source DB:  PubMed          Journal:  Mol Med        ISSN： 1076-1551            Impact factor:   6.354


  32 in total

Review 1.  Epigenomics in respiratory epithelium carcinogenesis: prevention and therapeutic challenges.

Authors:  Michalis V Karamouzis; Panagiotis A Konstantinopoulos; Athanasios G Papavassiliou
Journal:  Cancer Treat Rev       Date:  2007-03-23       Impact factor: 12.111

2.  BMS-754807, a small molecule inhibitor of insulin-like growth factor-1R/IR.

Authors:  Joan M Carboni; Mark Wittman; Zheng Yang; Francis Lee; Ann Greer; Warren Hurlburt; Stephen Hillerman; Carolyn Cao; Glenn H Cantor; Janet Dell-John; Cliff Chen; Lorell Discenza; Krista Menard; Aixin Li; George Trainor; Dolatrai Vyas; Robert Kramer; Ricardo M Attar; Marco M Gottardis
Journal:  Mol Cancer Ther       Date:  2009-12       Impact factor: 6.261

Review 3.  Targeting MET as a strategy to overcome crosstalk-related resistance to EGFR inhibitors.

Authors:  Michalis V Karamouzis; Panagiotis A Konstantinopoulos; Athanasios G Papavassiliou
Journal:  Lancet Oncol       Date:  2009-07       Impact factor: 41.316

4.  The role of miR-206 in the epidermal growth factor (EGF) induced repression of estrogen receptor-alpha (ERalpha) signaling and a luminal phenotype in MCF-7 breast cancer cells.

Authors:  Brian D Adams; Danielle M Cowee; Bruce A White
Journal:  Mol Endocrinol       Date:  2009-05-07

5.  Prognosis of hormone-dependent breast cancers: implications of the presence of dysfunctional transcriptional networks activated by insulin via the immune transcription factor T-bet.

Authors:  Kasi McCune; Poornima Bhat-Nakshatri; Mangesh A Thorat; Kenneth P Nephew; Sunil Badve; Harikrishna Nakshatri
Journal:  Cancer Res       Date:  2010-01-12       Impact factor: 12.701

Review 6.  Mechanisms of transcription factor selectivity.

Authors:  Yongping Pan; Chung-Jung Tsai; Buyong Ma; Ruth Nussinov
Journal:  Trends Genet       Date:  2010-01-13       Impact factor: 11.639

7.  Co-targeting the insulin-like growth factor I receptor enhances growth-inhibitory and pro-apoptotic effects of anti-estrogens in human breast cancer cell lines.

Authors:  Ashok K Chakraborty; Allison Welsh; Michael P Digiovanna
Journal:  Breast Cancer Res Treat       Date:  2009-04-01       Impact factor: 4.872

8.  IGFBP2 and IGFBP3 protein expressions in human breast cancer: association with hormonal factors and obesity.

Authors:  Nicole M Probst-Hensch; Julia H B Steiner; Peter Schraml; Zsuzsanna Varga; Ursina Zürrer-Härdi; Martina Storz; Dimitri Korol; Mathias K Fehr; Daniel Fink; Bernhard C Pestalozzi; Urs M Lütolf; Jean-Philippe Theurillat; Holger Moch
Journal:  Clin Cancer Res       Date:  2010-01-26       Impact factor: 12.531

9.  The DEAD-box protein p72 regulates ERalpha-/oestrogen-dependent transcription and cell growth, and is associated with improved survival in ERalpha-positive breast cancer.

Authors:  N C Wortham; E Ahamed; S M Nicol; R S Thomas; M Periyasamy; J Jiang; A M Ochocka; S Shousha; L Huson; S E Bray; R C Coombes; S Ali; F V Fuller-Pace
Journal:  Oncogene       Date:  2009-08-31       Impact factor: 9.867

Review 10.  TNF-alpha/NF-kappaB/Snail pathway in cancer cell migration and invasion.

Authors:  Y Wu; B P Zhou
Journal:  Br J Cancer       Date:  2010-01-19       Impact factor: 7.640
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  9 in total

Review 1.  Targeting long non-coding RNA to therapeutically upregulate gene expression.

Authors:  Claes Wahlestedt
Journal:  Nat Rev Drug Discov       Date:  2013-06       Impact factor: 84.694

Review 2.  Focus on the glycerophosphocholine pathway in choline phospholipid metabolism of cancer.

Authors:  Kanchan Sonkar; Vinay Ayyappan; Caitlin M Tressler; Oluwatobi Adelaja; Ruoqing Cai; Menglin Cheng; Kristine Glunde
Journal:  NMR Biomed       Date:  2019-06-11       Impact factor: 4.044

3.  Major Functional Transcriptome of an Inferred Center Regulator of an ER(-) Breast Cancer Model System.

Authors:  Li-Yu Daisy Liu; Li-Yun Chang; Wen-Hung Kuo; Hsiao-Lin Hwa; Yi-Shing Lin; Shiu-Feng Huang; Chiung-Nien Chen; King-Jen Chang; Fon-Jou Hsieh
Journal:  Cancer Inform       Date:  2012-04-19

4.  Identifying druggable targets by protein microenvironments matching: application to transcription factors.

Authors:  T Liu; R B Altman
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2014-01-22

5.  Complex-based analysis of dysregulated cellular processes in cancer.

Authors:  Sriganesh Srihari; Piyush B Madhamshettiwar; Sarah Song; Chao Liu; Peter T Simpson; Kum Kum Khanna; Mark A Ragan
Journal:  BMC Syst Biol       Date:  2014-12-08

6.  A bioinformatics approach reveals novel interactions of the OVOL transcription factors in the regulation of epithelial - mesenchymal cell reprogramming and cancer progression.

Authors:  Hernan Roca; Manjusha Pande; Jeffrey S Huo; James Hernandez; James D Cavalcoli; Kenneth J Pienta; Richard C McEachin
Journal:  BMC Syst Biol       Date:  2014-03-10

7.  Identification of a Novel Transcription Factor Prognostic Index for Breast Cancer.

Authors:  Junhao Liu; Zexuan Liu; Yangying Zhou; Manting Zeng; Sanshui Pan; Huan Liu; Qiong Liu; Hong Zhu
Journal:  Front Oncol       Date:  2021-06-24       Impact factor: 6.244

8.  A systematic approach to identify novel cancer drug targets using machine learning, inhibitor design and high-throughput screening.

Authors:  Jouhyun Jeon; Satra Nim; Joan Teyra; Alessandro Datti; Jeffrey L Wrana; Sachdev S Sidhu; Jason Moffat; Philip M Kim
Journal:  Genome Med       Date:  2014-07-30       Impact factor: 11.117

9.  A strategy to identify housekeeping genes suitable for analysis in breast cancer diseases.

Authors:  Tatiana M Tilli; Cláudio da Silva Castro; Jack A Tuszynski; Nicolas Carels
Journal:  BMC Genomics       Date:  2016-08-15       Impact factor: 3.969
  9 in total

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