Literature DB >> 18288997

From single- to multi-target drugs in cancer therapy: when aspecificity becomes an advantage.

A Petrelli1, S Giordano.   

Abstract

Targeted therapies by means of compounds that inhibit a specific target molecule represent a new perspective in the treatment of cancer. In contrast to conventional chemotherapy which acts on all dividing cells generating toxic effects and damage of normal tissues, targeted drugs allow to hit, in a more specific manner, subpopulations of cells directly involved in tumor progression. Molecules controlling cell proliferation and death, such as Tyrosine Kinase Receptors (RTKs) for growth factors, are among the best targets for this type of therapeutic approach. Two classes of compounds targeting RTKs are currently used in clinical practice: monoclonal antibodies and tyrosine kinase inhibitors. The era of targeted therapy began with the approval of Trastuzumab, a monoclonal antibody against HER2, for treatment of metastatic breast cancer, and Imatinib, a small tyrosine kinase inhibitor targeting BCR-Abl, in Chronic Myeloid Leukemia. Despite the initial enthusiasm for the efficacy of these treatments, clinicians had to face soon the problem of relapse, as almost invariably cancer patients developed drug resistance, often due to the activation of alternative RTKs pathways. In this view, the rationale at the basis of targeting drugs is radically shifting. In the past, the main effort was aimed at developing highly specific inhibitors acting on single RTKs. Now, there is a general agreement that molecules interfering simultaneously with multiple RTKs might be more effective than single target agents. With the recent approval by FDA of Sorafenib and Sunitinib--targeting VEGFR, PDGFR, FLT-3 and c-Kit--a different scenario has been emerging, where a new generation of anti-cancer drugs, able to inhibit more than one pathway, would probably play a major role.

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Year:  2008        PMID: 18288997     DOI: 10.2174/092986708783503212

Source DB:  PubMed          Journal:  Curr Med Chem        ISSN: 0929-8673            Impact factor:   4.530


  111 in total

1.  Strategic protein target analysis for developing drugs to stop dental caries.

Authors:  J A Horst; U Pieper; A Sali; L Zhan; G Chopra; R Samudrala; J D B Featherstone
Journal:  Adv Dent Res       Date:  2012-09

2.  Measuring and interpreting the selectivity of protein kinase inhibitors.

Authors:  Lynette A Smyth; Ian Collins
Journal:  J Chem Biol       Date:  2009-06-06

3.  Long-term progression-free survival in a case of hepatocellular carcinoma with vertebral metastasis treated with a reduced dose of sorafenib: Case report and review of the literature.

Authors:  Juan DU; Xiaoping Qian; Baorui Liu
Journal:  Oncol Lett       Date:  2012-10-17       Impact factor: 2.967

4.  Sorafenib combined with gemcitabine in EGFR-TKI-resistant human lung cancer cells.

Authors:  Jing Li; Yue-Yin Pan; Ying Zhang
Journal:  Oncol Lett       Date:  2012-10-09       Impact factor: 2.967

5.  Delphinidin suppresses ultraviolet B-induced cyclooxygenases-2 expression through inhibition of MAPKK4 and PI-3 kinase.

Authors:  Jung Yeon Kwon; Ki Won Lee; Jong-Eun Kim; Sung Keun Jung; Nam Joo Kang; Mun Kyung Hwang; Yong-Seok Heo; Ann M Bode; Zigang Dong; Hyong Joo Lee
Journal:  Carcinogenesis       Date:  2009-09-23       Impact factor: 4.944

6.  Targeting angiogenesis in metastatic breast cancer.

Authors:  Sangeetha Reddy; Michael Raffin; Virginia Kaklamani
Journal:  Oncologist       Date:  2012-07-27

7.  Local and global modes of drug action in biochemical networks.

Authors:  Jean-Marc Schwartz; Jose C Nacher
Journal:  BMC Chem Biol       Date:  2009-04-07

8.  Prolyl isomerase Pin1 is highly expressed in Her2-positive breast cancer and regulates erbB2 protein stability.

Authors:  Prudence B Lam; Laura N Burga; Bryan P Wu; Erin W Hofstatter; Kun Ping Lu; Gerburg M Wulf
Journal:  Mol Cancer       Date:  2008-12-15       Impact factor: 27.401

9.  A predictive phosphorylation signature of lung cancer.

Authors:  Chang-Jiun Wu; Tianxi Cai; Klarisa Rikova; David Merberg; Simon Kasif; Martin Steffen
Journal:  PLoS One       Date:  2009-11-25       Impact factor: 3.240

Review 10.  Predicting drug side-effects by chemical systems biology.

Authors:  Nicholas P Tatonetti; Tianyun Liu; Russ B Altman
Journal:  Genome Biol       Date:  2009-09-02       Impact factor: 13.583

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