High-throughput matrix screening in ovarian cancer cells identifies synergistic drug combinations with the second mitochondrial-derived activator of caspases (SMAC) mimetic birinapant (TL32711)

2015 ◽  
Vol 137 ◽  
pp. 207-208
Author(s):  
K.P. Bunch ◽  
I.S. Goldlust ◽  
C.J. Thomas ◽  
C.M. Annunziata
Cancers ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3784
Author(s):  
Anne M. Noonan ◽  
Amanda Cousins ◽  
David Anderson ◽  
Kristen P. Zeligs ◽  
Kristen Bunch ◽  
...  

Inhibitor of apoptosis (IAP) proteins are frequently upregulated in ovarian cancer, resulting in the evasion of apoptosis and enhanced cellular survival. Birinapant, a synthetic second mitochondrial activator of caspases (SMAC) mimetic, suppresses the functions of IAP proteins in order to enhance apoptotic pathways and facilitate tumor death. Despite on-target activity, however, pre-clinical trials of single-agent birinapant have exhibited minimal activity in the recurrent ovarian cancer setting. To augment the therapeutic potential of birinapant, we utilized a high-throughput screening matrix to identify synergistic drug combinations. Of those combinations identified, birinapant plus docetaxel was selected for further evaluation, given its remarkable synergy both in vitro and in vivo. We showed that this synergy results from multiple convergent pathways to include increased caspase activation, docetaxel-mediated TNF-α upregulation, alternative NF-kB signaling, and birinapant-induced microtubule stabilization. These findings provide a rationale for the integration of birinapant and docetaxel in a phase 2 clinical trial for recurrent ovarian cancer where treatment options are often limited and minimally effective.


Oncotarget ◽  
2018 ◽  
Vol 9 (31) ◽  
pp. 21893-21903 ◽  
Author(s):  
Victoria Heredia-Soto ◽  
Andrés Redondo ◽  
Alberto Berjón ◽  
María Miguel-Martín ◽  
Esther Díaz ◽  
...  

2016 ◽  
Vol 113 (9) ◽  
pp. 2544-2549 ◽  
Author(s):  
Alan S. L. Wong ◽  
Gigi C. G. Choi ◽  
Cheryl H. Cui ◽  
Gabriela Pregernig ◽  
Pamela Milani ◽  
...  

The orchestrated action of genes controls complex biological phenotypes, yet the systematic discovery of gene and drug combinations that modulate these phenotypes in human cells is labor intensive and challenging to scale. Here, we created a platform for the massively parallel screening of barcoded combinatorial gene perturbations in human cells and translated these hits into effective drug combinations. This technology leverages the simplicity of the CRISPR-Cas9 system for multiplexed targeting of specific genomic loci and the versatility of combinatorial genetics en masse (CombiGEM) to rapidly assemble barcoded combinatorial genetic libraries that can be tracked with high-throughput sequencing. We applied CombiGEM-CRISPR to create a library of 23,409 barcoded dual guide-RNA (gRNA) combinations and then perform a high-throughput pooled screen to identify gene pairs that inhibited ovarian cancer cell growth when they were targeted. We validated the growth-inhibiting effects of specific gene sets, including epigenetic regulators KDM4C/BRD4 and KDM6B/BRD4, via individual assays with CRISPR-Cas–based knockouts and RNA-interference–based knockdowns. We also tested small-molecule drug pairs directed against our pairwise hits and showed that they exerted synergistic antiproliferative effects against ovarian cancer cells. We envision that the CombiGEM-CRISPR platform will be applicable to a broad range of biological settings and will accelerate the systematic identification of genetic combinations and their translation into novel drug combinations that modulate complex human disease phenotypes.


2011 ◽  
Author(s):  
Meredith C. Henderson ◽  
Shilpi A. Arora ◽  
Irma M. Gonzales ◽  
Megan L. Russell ◽  
Catherine M. Mancini ◽  
...  

2018 ◽  
Author(s):  
F Guo ◽  
Z Yang ◽  
J Xu ◽  
J Sehouli ◽  
AE Albers ◽  
...  

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