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Buparlisib-treated Patient Derived Xenograft (PDX) Reversed Phase Protein Array (RPPA) Data

ABSTRACT: Phosphoinositide 3-kinase (PI3K) signaling activation is frequently observed in triple negative breast cancer, however, PI3K inhibitors have shown limited clinical activity. To investigate resistance mechanisms, we performed global transcriptome, proteome, phosphoproteome and kinome analysis of a panel of triple negative breast cancer patient derived xenograft models with varying responsiveness to buparlisib, a pan-PI3K inhibitor, for differentially expressed baseline and post-treatment biomarkers. Resistance was associated with incomplete inhibition of PI3K and upregulated MAPK/MEK signaling in response to buparlisib. Outlier phosphoproteome and kinome analyses identified additional candidates in association with buparlisib resistance, including NEK9 and MAP2K4. Knockdown of NEK9 or MAPK2K4 reduced both baseline and feedback MAPK/MEK signaling and enhanced buparlisib efficacy in vitro. Interestingly, we show that a complex ins/del in PIK3CA led to a change in buparlisib response in a NEK9/MAP2K4 dependent manner. In summary, our study indicates a role for NEK9 and MAP2K4 in mediating buparlisib resistance and demonstrates the value of unbiased global analyses in uncovering resistance mechanisms to targeted therapy.

ORGANISM(S): Homo sapiens

PROVIDER: GSE100567 | GEO | 2018/05/29

REPOSITORIES: GEO

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Project description:Filip Mundt, Sandeep Rajput, Shunqiang Li, Kelly Ruggles, Arshag D. Mooradian, Philipp Mertins, Michael A. Gillette, Karsten Krug, et al., Cancer Res. 2018 May 15;78(10):2732-2746. doi: 10.1158/0008-5472.CAN-17-1990.Activation of phosphoinositide 3-kinase (PI3K) signaling is frequently observed in triple-negative breast cancer (TNBC), yet PI3K inhibitors have shown limited clinical activity. To investigate intrinsic and adaptive mechanisms of resistance, we analyzed a panel of patient-derived xenograft models of TNBC with varying responsiveness to buparlisib, a pan-PI3K inhibitor. In a subset of patient-derived xenografts, resistance was associated with incomplete inhibition of PI3K signaling and upregulated MAPK/MEK signaling in response to buparlisib. Outlier phosphoproteome and kinome analyses identified novel candidates functionally important to buparlisib resistance, including NEK9 and MAP2K4. Knockdown of NEK9 or MAP2K4 reduced both baseline and feedback MAPK/MEK signaling and showed synthetic lethality with buparlisib in vitro. A complex in/del frameshift in PIK3CA decreased sensitivity to buparlisib via NEK9/MAP2K4-dependent mechanisms. In summary, our study supports a role for NEK9 and MAP2K4 in mediating buparlisib resistance and demonstrates the value of unbiased omic analyses in uncovering resistance mechanisms to targeted therapy.Mass spectra files contributing to this study can be downloaded in the original instrument vendor format (see Data Sets below). Metadata files include protocols and mapping of specimens to TMT6 labels for each experiment.The protein database used to analyze mass spectrometry data files is also provided below (RefSeq.20130727-Human.20130730-MouseNR.mm13.fasta). This file includes the RefSeq database containing 31,767 human proteins, 24,821 mouse proteins, and 85 additional contaminants (RefSeq release 60, 2013/7/27-2013/7/30).<ul><li>Dataset imported into MassIVE from <a href="https://cptac-data-portal.georgetown.edu/cptac/s/S040">https://cptac-data-portal.georgetown.edu/cptac/s/S040</a> on 10/19/18</li></ul>

Project description:In this study the investigators looked at adaptive reprogramming impact on the kinome when a MEK inhibitor called GSK1120212 (trametinib) was administered in a "window of opportunity" trial. GSK1120212 is not yet approved by the FDA for use in breast cancer patients. The investigators gave GSK1120212 for a short period of time (one week) to examine MEK and the other kinase expression in cancer cells both before and after the study drug is given. The investigators gave this drug for research purposes only. The length of time it was given is not intended to treat cancer. Recently researchers at UNC developed a process that can comprehensively profile the majority of the individual kinases in the kinome and examine the impact on kinase expression of kinase inhibitors (Duncan et al, Cell 2012, PMID: 22500798). This can tell us which kinases need to be concurrently blocked to augment responsiveness and prevent acquired resistance so that the investigators can design the best combinations of kinase blocking drugs for triple negative breast cancer. This is especially important for individuals with triple negative breast cancer (TNBC) because there are no targeted drugs available that can block molecules that affect tumor growth. The investigators believe that kinase-blocking drugs have the potential to be a more effective treatment for people with TNBC. In this recently published study (Zawistowski et al, Cancer Discovery 2017, PMID: 28108460), TNBC patients treated with trametinib for 7 days resulted in a transcriptional response characterized by significant reprogramming of the tyrosine kinome, and this adaptive bypass response in human tumors was found to be similar to that seen in preclinical models including TNBC cell lines and mouse xenografts. In this study we also examined whether reprogramming differed between TNBC molecular subtypes, finding that basal-like and claudin-low human TNBC cells and mouse tumor subtypes had different adaptive transcriptional responses to MEK-ERK inhibition. Mechanistically we found that genome-wide enhancer remodeling drove the adaptive transcriptional response, suggesting that epigenetic approaches to reprogramming may be more durable than kinase inhibitor polypharmacology.

Project description:Pappalardo2016 - PI3K/AKT and MAPK Signaling Pathways in Melanoma Cancer This model is described in the article: Computational Modeling of PI3K/AKT and MAPK Signaling Pathways in Melanoma Cancer. Pappalardo F, Russo G, Candido S, Pennisi M, Cavalieri S, Motta S, McCubrey JA, Nicoletti F, Libra M. PLoS ONE 2016; 11(3): e0152104 Abstract: Malignant melanoma is an aggressive tumor of the skin and seems to be resistant to current therapeutic approaches. Melanocytic transformation is thought to occur by sequential accumulation of genetic and molecular alterations able to activate the Ras/Raf/MEK/ERK (MAPK) and/or the PI3K/AKT (AKT) signalling pathways. Specifically, mutations of B-RAF activate MAPK pathway resulting in cell cycle progression and apoptosis prevention. According to these findings, MAPK and AKT pathways may represent promising therapeutic targets for an otherwise devastating disease.Here we show a computational model able to simulate the main biochemical and metabolic interactions in the PI3K/AKT and MAPK pathways potentially involved in melanoma development. Overall, this computational approach may accelerate the drug discovery process and encourages the identification of novel pathway activators with consequent development of novel antioncogenic compounds to overcome tumor cell resistance to conventional therapeutic agents. The source code of the various versions of the model are available as S1 Archive. This model is hosted on BioModels Database and identified by: MODEL1609190000. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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Buparlisib-treated Patient Derived Xenograft (PDX) Reversed Phase Protein Array (RPPA) Data

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