PURPOSE: It is critical to develop methods to quantify the early pharmacodynamic effects of targeted therapeutics in vivo to make drug development more efficient and ensure biologically relevant dosing. Furthermore, an ability to identify patients likely to respond to targeted therapeutics would decrease the size, duration, and cost of clinical trials, resulting in more efficient translation to improved patient outcomes. Recent studies suggest that perifosine inhibits the phosphatidylinositol-3'-kinase (PI3K) pathway by preventing cell membrane recruitment of the AKT pleckstrin homology domain. EXPERIMENTAL DESIGN: A novel functional proteomics technology, reverse phase protein array, was used to establish and quantify pharmacodynamic markers of perifosine efficacy. RESULTS: Perifosine selectively prevents AKT recruitment to the membrane and blocks activation of downstream effectors. Perifosine inhibited breast, ovarian, and prostate cancer models. Growth inhibition was associated with apoptosis. Activation of AKT as a consequence of genomic aberrations predicted perifosine efficacy. In cell lines and xenografts, there was a highly statistically significant correlation between the degree of antitumor efficacy of different perifosine doses and quantified down-regulation of phosphorylation of AKT and of its downstream targets, particularly S6. CONCLUSIONS: Because of a strong correlation between proportional modulation of PI3K pathway biomarkers and quantified perifosine efficacy, it is likely that early measurement of such pharmacodynamic biomarkers with reverse phase protein array will optimize selection of responding patients and guide perifosine dosing. Furthermore, PI3K pathway activation status may allow baseline selection of patients most likely to respond to perifosine alone or in combination with other therapies.
PURPOSE: It is critical to develop methods to quantify the early pharmacodynamic effects of targeted therapeutics in vivo to make drug development more efficient and ensure biologically relevant dosing. Furthermore, an ability to identify patients likely to respond to targeted therapeutics would decrease the size, duration, and cost of clinical trials, resulting in more efficient translation to improved patient outcomes. Recent studies suggest that perifosine inhibits the phosphatidylinositol-3'-kinase (PI3K) pathway by preventing cell membrane recruitment of the AKT pleckstrin homology domain. EXPERIMENTAL DESIGN: A novel functional proteomics technology, reverse phase protein array, was used to establish and quantify pharmacodynamic markers of perifosine efficacy. RESULTS:Perifosine selectively prevents AKT recruitment to the membrane and blocks activation of downstream effectors. Perifosine inhibited breast, ovarian, and prostate cancer models. Growth inhibition was associated with apoptosis. Activation of AKT as a consequence of genomic aberrations predicted perifosine efficacy. In cell lines and xenografts, there was a highly statistically significant correlation between the degree of antitumor efficacy of different perifosine doses and quantified down-regulation of phosphorylation of AKT and of its downstream targets, particularly S6. CONCLUSIONS: Because of a strong correlation between proportional modulation of PI3K pathway biomarkers and quantified perifosine efficacy, it is likely that early measurement of such pharmacodynamic biomarkers with reverse phase protein array will optimize selection of responding patients and guide perifosine dosing. Furthermore, PI3K pathway activation status may allow baseline selection of patients most likely to respond to perifosine alone or in combination with other therapies.
Authors: Matthias Niedermeier; Bryan T Hennessy; Zachary A Knight; Marina Henneberg; Jianhua Hu; Antonina V Kurtova; William G Wierda; Michael J Keating; Kevan M Shokat; Jan A Burger Journal: Blood Date: 2009-03-24 Impact factor: 22.113
Authors: Pablo Vivas-Mejia; Juliana Maria Benito; Ariel Fernandez; Hee-Dong Han; Lingegowda Mangala; Cristian Rodriguez-Aguayo; Arturo Chavez-Reyes; Yvonne G Lin; Mark S Carey; Alpa M Nick; Rebecca L Stone; Hye Sun Kim; Francois-Xavier Claret; William Bornmann; Bryan T J Hennessy; Angela Sanguino; Zhengong Peng; Anil K Sood; Gabriel Lopez-Berestein Journal: Clin Cancer Res Date: 2009-12-22 Impact factor: 12.531
Authors: Funda Meric-Bernstam; Argun Akcakanat; Huiqin Chen; Kim-Anh Do; Takafumi Sangai; Farrell Adkins; Ana Maria Gonzalez-Angulo; Asif Rashid; Katherine Crosby; Mei Dong; Alexandria T Phan; Robert A Wolff; Sanjay Gupta; Gordon B Mills; James Yao Journal: Clin Cancer Res Date: 2012-03-15 Impact factor: 12.531
Authors: Katherine Stemke-Hale; Ana Maria Gonzalez-Angulo; Ana Lluch; Richard M Neve; Wen-Lin Kuo; Michael Davies; Mark Carey; Zhi Hu; Yinghui Guan; Aysegul Sahin; W Fraser Symmans; Lajos Pusztai; Laura K Nolden; Hugo Horlings; Katrien Berns; Mien-Chie Hung; Marc J van de Vijver; Vicente Valero; Joe W Gray; René Bernards; Gordon B Mills; Bryan T Hennessy Journal: Cancer Res Date: 2008-08-01 Impact factor: 12.701
Authors: Chad J Creighton; Xiaoyong Fu; Bryan T Hennessy; Angelo J Casa; Yiqun Zhang; Ana Maria Gonzalez-Angulo; Ana Lluch; Joe W Gray; Powell H Brown; Susan G Hilsenbeck; C Kent Osborne; Gordon B Mills; Adrian V Lee; Rachel Schiff Journal: Breast Cancer Res Date: 2010-06-22 Impact factor: 6.466
Authors: Rachelle L Dillon; Richard Marcotte; Bryan T Hennessy; James R Woodgett; Gordon B Mills; William J Muller Journal: Cancer Res Date: 2009-06-02 Impact factor: 12.701