RPPA profiling of ES8 Ewing sarcoma xenografts after Endoglin-targeting antibody-drug conjugate treatments
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PROVIDER: PRJNA472943 | ENA |
REPOSITORIES: ENA
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Project description:Endoglin (EDG) is a cell surface protein with an important role in the establishment of neo-angiogenesis and vasculogenic mimicry. EDG is part of the transforming growth factor-β (TGF-β) family, acting as an important co-receptor. EDG is shed from the cell surface into the extracellular compartment by matrix metalloproteinase 14 (MMP14), in its soluble form (sEDG). Both transmembrane and soluble forms of EDG exert important signaling functions in the development of new blood vessels and tumour progression. To better understand the role of EDG in Ewing sarcoma (ES), a deadly neoplasm of late childhood and adolescence, we test the efficacy of OMTX703, an endoglin-targeting antibody-drug conjugate in ES8 xenograft. Having determined an optimal dose for OMTX703, an additional experiment was conducted to assess the mechanism(s) of OMTX703 action and its potential mechanism(s) of resistance following a 2-week exposure to OMTX703 at 0, 10, 30, and 60 mg/kg; 246 proteins were assessed by reverse-phase protein array (RPPA). Analysis of variance (ANOVA), Pearson’s correlation as distance metric and Ward’s linkage as the clustering method using a false discovery rate (FDR) of 0.01, identified 60 proteins that discriminated between treatment groups (Matrix#1-Normalized Values). To investigate the proteomic changes associated with the heightened clinical activity of the 60 mg/kg dose, a secondary analysis was performed, which grouped the 10 mg/kg OMTX703 samples and the 10 mg/kg OMTX003 ones with the placebo-treated samples (Matrix#2-Normalized Values). Using a FDR of 0.0001, an absolute log2 fold change of 1.5, Pearson’s correlation as distance metric and Ward’s linkage as the clustering method, 22 proteins were discriminately identified between the 3 treatment groups (Matrix#2-Normalized Values). Notably, a protein regulator of altered metabolism (RPS6) was exclusively upregulated following OMTX703 (60mg/kg), and a second metabolism biomarker (LDHA) was down-expressed in the 30 and 60 mg/kg-treated groups. Conversely, BRD4 was one of about a dozen proteins that were preferentially down-regulated in samples treated only by 60 mg/kg.
2018-12-31 | GSE114866 | GEO
Project description:I-SPY2-990 mRNA/RPPA Data Resource: RPPA component
| PRJNA803248 | ENA
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.
2022-05-25 | GSE196093 | GEO
Project description:Ewing Sarcoma is caused by a pathognomonic genomic translocation that places an N-terminal EWSR1 gene in approximation with one of several ETS genes (typically FLI1). This aberration, in turn, alters the transcriptional regulation of more than five hundred genes and perturbs a number of critical pathways that promote oncogenesis, cell growth, invasion, and metastasis. Among them, translocation-mediated up-regulation of the insulin-like growth factor receptor 1 (IGF-1R) and mammalian target of rapamycin (mTOR) are of particular importance since they work in concert to facilitate IGF-1R expression and ligand-induced activation, respectively, of proven importance in ES transformation. When used as a single agent in Ewing sarcoma therapy, IGF-1R or mTOR inhibition leads to rapid counter-regulatory effects that blunt the intended therapeutic purpose. Therefore, identify new mechanisms of resistance that are used by Ewing sarcoma to evade cell death to single-agent IGF-1R or mTOR inhibition might suggest a number of therapeutic combinations that could improve their clinical activity. Male non-obese diabetic (NOD)-SCID-IL-2Rgnull mice were used to generate EW5 explants (2 mm). Mice bearing subcutaneous tumors were randomized into treatment and control groups when their tumors reached a diameter of 6 mm and received ridaforolimus (MK-8669, mTOR inhibitor, 5mg/kg per dose, once weekly), dalotuzumab (MK-0646, IGF-1R inhibitor monoclonal antibody, 0.5mg IP twice weekly), a placebo control (sterile buffer) or a combination of both treatments. Animals were treated either until their tumors reached 1500 mm3 in volume. RPPA profiling of EW5 xenografts treated in vivo either with MK-0646, MK-8669, control and combination and compared each other were performed simultaneously using the same array. Lysates were processed, spotted onto nitrocellulose-coated FAST slides, probed with 179 validated primary antibodies, and detected using a DakoCytomation-catalyzed system with secondary antibodies. MicroVigene software program (VigeneTech) was used for automated spot identification, background correction, and individual spot-intensity determination. Expression data was normalized for possible unequal protein loading, taking into account the signal intensity for each sample for all antibodies tested. Log2 values were media-centered by protein to account for variability in signal intensity by time and were calculated using the formula log2 signal â log2 median. Principal component analysis was used to check for a batch effect and feature-by-feature two-sample t-tests were used to assess differences between treatment and control groups. We also used feature-by-feature one-way analysis of variance (ANOVA) followed by the Tukey test to perform pair comparisons for all groups. Beta-uniform mixture models were used to fit the resulting p value distributions to adjust for multiple comparisons. The cutoff p values and number of significant proteins were computed for several different false discovery rates (FDRs). Biostatistical analyses comparing two groups were performed using an unpaired t-test with Gaussian distribution followed by the Welch correction. To distinguish between treatment groups, we used one-way ANOVA with the Geisser-Greenhouse correction. Differences with p values <0.05 were considered significant. Within clustered image maps (CIM), unsupervised double hierarchical clustering used the Pearson correlation distance and Wardâs linkage method as the clustering algorithm to link entities (proteins or genes) and samples.
2016-06-01 | E-GEOD-78123 | biostudies-arrayexpress
Project description:Ewing Sarcoma is caused by a pathognomonic genomic translocation that places an N-terminal EWSR1 gene in approximation with one of several ETS genes (typically FLI1). This aberration, in turn, alters the transcriptional regulation of more than five hundred genes and perturbs a number of critical pathways that promote oncogenesis, cell growth, invasion, and metastasis. Among them, translocation-mediated up-regulation of the insulin-like growth factor receptor 1 (IGF-1R) and mammalian target of rapamycin (mTOR) are of particular importance since they work in concert to facilitate IGF-1R expression and ligand-induced activation, respectively, of proven importance in ES transformation. When used as a single agent in Ewing sarcoma therapy, IGF-1R or mTOR inhibition leads to rapid counter-regulatory effects that blunt the intended therapeutic purpose. Therefore, identify new mechanisms of resistance that are used by Ewing sarcoma to evade cell death to single-agent IGF-1R or mTOR inhibition might suggest a number of therapeutic combinations that could improve their clinical activity. Male non-obese diabetic (NOD)-SCID-IL-2Rgnull mice were used to generate EW5 explants (2 mm). Mice bearing subcutaneous tumors were randomized into treatment and control groups when their tumors reached a diameter of 6 mm and received MK-8669 (mTOR inhibitor, 5mg/kg per dose, once weekly), MK-0646 (IGF-1R inhibitor monoclonal antibody, 0.5mg IP twice weekly), or a placebo control (sterile buffer). Animals were treated either until their tumors reached 1500 mm3 in volume. Affymetrix Geneship profiling of EW5 xenografts treated in vivo either with MK-0646, MK-8669, and control and compared each other using extracted RNA and hybridized on Affymetrix microrrays ( Affymetrix Human Genome U133A 2.0 cartridge arrays).
2015-04-02 | E-GEOD-67529 | biostudies-arrayexpress
Project description:The I-SPY2-990 mRNA/RPPA data resource contains gene expression, protein/phosphoprotein and clinical data for ~990 patients from the first 10 completed arms of the I-SPY 2 platform trial for aggressive, early stage breast cancer. Experimental treatments include pan-HER2 inhibitors and anti-HER2 agents, PARP inhibitor/DNA damaging agent combinations, an AKT inhibitor, immunotherapy, and ANG1/2, IGF1R and HSP90 inhibitors added to standard of care chemotherapy. All patients have pretreatment full transcriptome expression data on over ~19,000 genes assayed on Agilent 44K. 736 patients (all arms except ganitumab and ganetespib) have normalized LCM-RPPA data for 139 key signaling proteins/phosphoproteins in cancer. Clinical data includes HR, HER2 and MP status, response (pCR or no pCR), and treatment arm. This SuperSeries is composed of the mRNA and RPPA SubSeries listed below.
2022-05-25 | GSE196096 | GEO
Project description:The I-SPY2-990 mRNA/RPPA Data Resource contains gene expression and clinical data for 987 patients from 10 arms of the neoadjuvant I-SPY2 TRIAL for aggressive early stage breast cancer [210 Control (Ctr); 71 veliparib/carboplatin (VC); 114 neratinib (N); 93 MK2206; 106 ganitumab; 93 ganetespib; 134 trebananib; 52 TDM1/pertuzumab(P); 44 H/P; 69 pembrolizumab (pembro)]. All 987 patients have pretreatment full transcriptome expression data on over ~19,000 genes assayed on Agilent 44K. Clinical data includes HR, HER2 and MP status, response (pCR or no pCR), and treatment arm. The ISPY2-990 mRNA/RPPA Data Resource also includes normalized pre-treatment LCM-RPPA data for 139 key signaling proteins/phosphoproteins in cancer for 736 patients (see companion GEO record GSE196093 for data and details).
2022-05-25 | GSE194040 | GEO
Project description:RNA profiling of MPNST xenografts treated with anti-endoglin (ENG) therapies
| PRJNA907254 | ENA
Project description:We found the PRC2 component EZH2 to be upregulated by the pathognomonic fusion oncogene EWS-FLI1 in Ewing tumors and mesenchymal stem cells (Richter GH et al., Proc Natl Acad Sci U S A. 2009;106:5324-9). Downregulation of EZH2 by RNA interference in Ewing tumor cell lines suppressed oncogenic transformation in vitro and in vivo. These data suggest that EZH2 might play a central role in Ewing Tumor pathology. RNA from tumor samples was isolated with Trizol and subjected to microarray analysis using HG_U133A microarrays following the Affymetrix protocol. Ewing tumors vs. neuroblastoma controls
2009-04-29 | E-GEOD-15757 | biostudies-arrayexpress
Project description:I-SPY2-990 mRNA/RPPA Data Resource
| PRJNA803240 | ENA