17 Models: Buparlisib-treated Patient Derived Xenograft (PDX) Reversed Phase Protein Array (RPPA) Data
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PROVIDER: PRJNA629800 | ENA |
REPOSITORIES: ENA
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Project description: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.
2018-05-29 | GSE100567 | GEO
Project description:Aberrant activation of PI3K pathway is frequently observed in triple negative breast cancer (TNBC). However single agent PI3K inhibitors have shown limited anti-tumor activity. To investigate biomarkers of response and resistance mechanisms, we tested 17 TNBC patient-derived xenograft (PDX) models representing diverse genomic backgrounds and varying degrees of PI3K pathway signaling activities for their tumor growth response to the pan-PI3K inhibitor BKM120. Baseline and post-treatment PDX tumors harvested following 3 days of BKM120 or vehicle administration were subjected to reverse phase protein array (RPPA) to identify protein markers associated with tumor growth response. While BKM120 consistently reduced PI3K pathway activity, as demonstrated by reduced levels of phosphorylated AKT, percentage tumor growth inhibition (%TGI) ranged from 35% in the least sensitive to 84% in the most sensitive PDX model at the completion of approximately 3-4 weeks of treatment. Several biomarkers showed significant association with resistance, including elevated baseline levels of growth factor receptors (EGFR, pHER3 Y1197), PI3Kp85 regulatory subunit, anti-apoptotic protein BclXL, EMT (Vimentin, MMP9, IntegrinaV), NFKB pathway (IkappaB, RANKL), and intracellular signaling molecules including Caveolin, CBP, and KLF4, as well as treatment-induced increase in the levels of phosphorylated forms of Aurora kinases. Sensitivity to BKM120 was associated with higher baseline levels of proapoptotic markers (Bak and Caspase 3) and a greater number of markers differentially changed following BKM120 therapy. Interestingly, markers indicating PI3K pathway signaling activation or PTEN loss at baseline were not significantly correlated to %TGI. These results provide important insights into biomarker development for PI3K inhibitors in TNBC.
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Project description:Buparlisib-treated Patient Derived Xenograft (PDX) Reversed Phase Protein Array (RPPA) Data
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Project description:There is a strong need to develop patient-derived xenograft (PDX) tumor models for studying new treatment options for gastric cancer (GC). With low engraftment success, few collections of GC PDX have been reported and molecular basis of the model establishment remain largely unknown. Here we established n=27 PDX models from n=100 GC tumors and compared their characteristics to GC patient tumors based on the recent work done by ACRG and TCGA, to evaluate the representativeness and relevance of the collection for drug testing. We show that MSI, CIN and MSS/TP53- tumors were preferentially established as PDX, while MSS/EMT and EBV not and that PDX models retained histology and molecular subtypes of parental tumors. By using synapse database, we identified 48 druggable alterations that could be investigated with the collection. Counting alterations for these 48 genes in PDX compared to TCGA tumors revealed models frequently classified with heavily altered tumors but well preserved genomic alteration patterns specific of each GC subtype. The molecular analysis of n=8/27 tumors and corresponding PDX at passage P1, P2 and P3 revealed variations in somatic alteration content both at single nucleotide and chromosomal level in highly unstable MSI and CIN tumors, with changes occurring mainly at P1. In two cases, we show likely emergence of rare subclones carrying known oncogenic alterations in KRAS and PIK3CA. Significance. This study presents a resource of fully annotated GC PDX models for anticancer agent testing. We show that beside close resemblance of PDX with parental tumors, not all subtypes are established, and that the clonal selection plays a key role the establishment of certain tumors. This may have a bearing on translation of observations into the clinic and underline the need to frequently survey the molecular characteristics of the PDX models.
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Project description:I-SPY2-990 mRNA/RPPA Data Resource: RPPA component
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Project description:The RPPA component of the I-SPY2-990 mRNA/RPPA Data Resource contains protein/phosphoprotein data from pre-treatment laser capture microdissected (LCM) tumor biopsies for 139 key signaling proteins/phosphoproteins in cancer for 736 patients from 8 arms of the neoadjuvant I-SPY2 TRIAL (NCT01042379) for aggressive early stage breast cancer [194 Control (Ctr); 63 veliparib/carboplatin (VC); 105 neratinib (N); 87 MK2206; 128 trebananib; 49 TDM1/pertuzumab(P); 43 H/P; and 67 pembrolizumab (pembro)]. This record also contains clinical data for these patients, including HR, HER2 and MP status, response (pCR or no pCR), and treatment arm. RPPA endpoints assayed are from hormone receptor (n=4), HER family (n=14), cell cycle/proliferation (n=20), immune (n=18), DNA repair deficiency (DDR; n=15), AKT/mTOR/PI3K (n=7), apoptosis/autophagy (n=10), IGF1R (n=6), TIE/ANG (n=4), growth/survival/metabolism (n=22) and RTK (n=19) pathways. For gene expresson data for all 736 patients with RPPA data, plus an additional 150 patients for a total 987 patients from 10 arms of I-SPY2 (mRNA component of the I-SPY2-990 Data Resource), see the companion GEO record/subseries GSE194040.
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