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Oncology Biomarker Development: Simultaneous Digital Counting of Nucleic Acids and Proteins at 800-plex NanoString Technologies 530 Fairview Avenue North, Seattle, WA 98109 3D Biology™ Case Study: Drug Response by BRAF Genotype Abstract With the growth of biomarker discovery, identification of novel cancer signatures has revealed the limitations of relying on a single analyte class to characterize tumors or predict their responses to therapies. NanoString® has developed its Vantage 3D™ product line to meet the need for simultaneous analysis of DNA, RNA, and proteins. Based on singlemolecule optical barcoding technology, NanoString’s products are designed to consume as little as 15,000-25,000 cells while utilizing the experimental power of 800-plex, crossanalyte quantification. We present two case studies of 3D Biology in action. First, we demonstrate that our RNA and protein detection chemistries work in concert with our novel SNV-specific probes for in-depth characterization of genotype-specific expression changes in a cell culture model of BRAF inhibition. Second, we show that the 30-plex nCounter® Vantage 3D™ Protein Solid Tumor Signaling Pathways Panel can be used in conjunction with the 770-plex PanCancer Pathways Panel to monitor expression regulation and protein phosphorylation within clinically relevant samples, including FFPE tissues. Together, these examples highlight the rich data sets and robust discovery potential provided by a 3D Biology approach to cancer biomarker research. Raf/MEK/ERK and PI3K/AKT/mTOR signaling pathways BRAF genotype-specific gene signatures of drug response 1 6 G E NE E X P RE S S I O N S I G NATURE * EGF RESPONSE SCORE 50 3D Biology Technology on the nCounter Platform 3D Biology Workflow WT: SKMEL28 cells 75 SNV Probe Design 25 Heterozygous mutant: RPMI-7951 cells 0 -25 Homozygous mutant: SW48 cells -50 cell membrane Perfect match -75 0 5 10 15 HOURS OF TREATMENT WITH VEMURAFENIB 20 WT/V600E V600E/V600E WT/WT Single mis-match • • Protein Probe Design *Gene Signature: CCND1, DUSP4, DUSP6, ETV1, FOS, FOSL1, HES1, HMGA2, HPGD, ID2, MAP3K, MYC, NR4A3, PPARGC1A, SPRY1, SPRY2 See also Joseph et al. PNAS 2010 107: 14903-908 ~50% cutaneous melanomas harbor BRAF mutations BRAF V600E comprises ~90% of BRAF mutations 3D Biology of drug response with simultaneous DNA/RNA/protein profiling RNA or DNA Detection DNA SNV Genotype 25 RNA Expression 3D Biology of drug response with simultaneous DNA/RNA/protein profiling Drug Treatment Protein Expression WT BRAF Genotype V600E/V600E Genotype Endogenous Nucleic Acid The nCounter platform can be used to digitally count DNA, RNA, and proteins from a single sample by using fluorescent optical barcodes that attach to a probe, which then binds directly to the analyte of interest. Our probes have been adapted to allow single base pair resolution and protein detection. + vem Photocleavable Linker + vem + tram SNV Performance Confidence Primary Antibody Confidence Unique ssDNA Tag RNA Expression Protein Detection 50% 99% + vem Variants present at 1-10% levels are detected from 5 ng of FFPE DNA -8 -4 -2 0 2 4 8 -8 -4 -2 0 2 4 8 fold change with drug fold change with drug + vem + tram + vem Here the sample was 5 ng of genomic DNA extracted from FFPE sections purchased from Horizon Discovery containing 10 different variants ranging in frequency from 1% to 10%. All assayed variants are detected with > 95% confidence (p < 0.05 confidence threshold indicated by the dashed pink line). Vemurafenib shows remarkably few off-target gene expression effects in cells with WT BRAF V600 alleles + vem + tram In a single nCounter lane, 6 SNVs, 180 transcripts, and 16 protein species are quantified simultaneously. The heatmaps represent average levels from biological triplicate samples after normalization to controls. Single and combination drug treatment was for 8 hours measured against treatment with vehicle (DMSO) alone. HLA-DRA drug + Phosphorylation changes with combination drug treatment 0 -1 -2 -3 + vem + combo + vem WT/WT + combo + vem V600E/WT p-AKT/AKT p-MEK/MEK + combo V600E/V600E p-ERK/ERK HLA-DRA drug + CD73 + 2 1 -1 -2 -3 p-EGFR/EGFR p-ERK/ERK p-S6/S6 In WT cells, the degree of phosphorylation of S6 and Erk, a direct substrate of Mek, is reduced by exposure to the Mek inhibitor trametinib in addition to the B-Raf V600E inhibitor vemurafenib. In cells carrying the V600E mutation, S6 phosphorylation appears to be reduced in an allele-dose dependent manner, specifically in response to vemurafenib, p-AKT/AKT p-S6/S6 p-MEK/MEK After 8 hours, inhibition of the Ras/Raf/Mek/Erk pathway by vemurafenib reduces the degree of downstream substrate S6 phosphorylation in BRAF V600E mutant cells 4.8-fold. In contrast, the relative phosphorylation of the upstream receptor EGFR increases in cells with WT BRAF V600 alleles 3D Biology Case Study: Profiling Melanoma FFPE Samples 11 reference alleles all detected in sample 26 COSMIC variant alleles assayed. 16/16 detected in sample. Somatic variant frequency (%) listed log2 fold-change with drug Using commercially available human genomic DNA (Horizon Discovery plc) of 16 solid-tumor associated SNVs at somatic frequencies (2.4% and 4.8% in blue). Upon assay with an ‘alpha’ version of the nCounter SNV panel, all 16 variants are detectable with counts levels that are 3-fold greater than counts obtained from the negative control reference sample and with an estimated confidence of > 99%. Count-level fold-change over reference (in log2 units) is indicated by the number in each red box. The estimated count variance in each assay is reflected by the size of the boxes. The 11 reference alleles’ probe counts are grouped at right. CD73 + CD73, a cell-surface enzyme that is immune suppressive, is upregulated in cells with mutant BRAF V600E alleles Protein Phosphorylation log2 fold-change in ratio 1 High confidence mutation detection in low frequency samples Digital Counts Down-regulated 8000 Digital Counts Up-regulated Protein Expression EGFR p-EGFR Syk p-Syk Akt p-Akt pPras40 p-cRaf Mek p-Mek Erk p-Erk S6 p-S6 Her2 Gsk-3b 8000 3D Biology on FFPE with simultaneous DNA/RNA/protein profiling BRAF genotype-specific gene signatures at baseline Protein Performance Equivalence between single-plex and multiplex assay format 3D protein signal on FFPE BRAF status: V600E Other SNV: APC R876 V600E wt wt wt wt wt wt wt NRASQ61K CCND1 18 DUSP4 16 DUSP6 R² = 0.9825 14 ETV1 12 FOS 10 8 6 6 8 10 12 14 Single Plex Assay (log2 Signal) 16 FOSL1 RNA:Protein Solid Tumor Signaling Pathways panel for FFPE (770 RNA, 30 Proteins) Multiplexed Assay (log2 Signal) 20 V600E 18 Protein detection shows high correlation (R2>0.98) when comparing single plex versus multiplex analysis. Additionally, protein signal is identical when run as a stand alone assay or in combination with nucleic acid analysis Benchmarking protein results shows high concordance HES1 HMGA2 HPGD ID2 MAPK3 MYC NR4A3 Lysate PPARGC1A 6 R² = 0.9713 5 AKT p-AKT S6 SPRY1 p-S6 SPRY2 4 3 0 -6 -4 -2 -1 0 2 4 Counts Counts 1 150000 100000 5000 50000 0 6 0 p-AKT A431 + SS -2 SS + CA P-S6 SS + EGF A431 + SS 5000 Counts -3 -4 -5 ELISA (log2 fold change) Counts nCounter (log2 fold change) 10000 2 4500 4000 A431 + SS SS + CA SS + EGF 2600 2500 2400 2300 2200 AKT Protein detection is highly correlated with gold standard techniques for protein analysis from lysates. Antibody performance was compared using ELISA versus NanoString in addition to western analysis versus NanoString. SS + CA 26 genes were profiled for SNV status followed by expression profiling of 770 RNA and 30 proteins on six melanoma FFPE samples. Expression data clusters by BRAF V600E mutational status and NRAS and APC mutational status, two additional SNVs detected in samples 3 and 4. Gene Signature from above at baseline shows heterogeneity among samples. NRAS mutant shows large expression changes (decrease) compared to WT. Additionally, MAPK3 shows little change in expression among samples despite changes in phosphorylation seen below. See also Joseph et al. PNAS 2010 107: 14903-908 Phopspho-protein profiling at baseline Conclusions S6 SS + EGF A431 + SS SS + CA SS + EGF 0.5 FFPE S/N (Error Bars = 2 SD) 10.0 R² = 0.9472 9.5 9.0 8.5 80 60 Phosho/total protein (Counts) 100 10.5 IHC (Arb. Units Log10) The nCounter® Vantage 3D™ portfolio powered by 3D Biology technology allows for simultaneous profiling of DNA, RNA, and protein • SNV probes also permit detection of somatic variants with 5% allele frequency from as little as 5 ng fresh or FFPE gDNA. • NanoString’s Protein Solid Tumor assays for lysate and FFPE show high correlation to gold standard techniques, specifically western, ELISA, and IHC, respectively. • NanoString’s multi-plex Protein Solid Tumor assays show high correlation to detection in single-plex assays and when run alone versus in combination with RNA and RNA + DNA for a full 3D experiment. • Complex biology can be profiled simultaneously using Vantage 3D assays and the case studies presented demonstrate this capability both on cell lysates and FFPE samples allowing you to see more biology with less sample. • For more information, visit booth 512 and 3D.nanostring.com 0.4 Phospho-Targets Across Treatments P-AKT P31 P-c-Raf P09 P-PDK1 P25 P-AmpK P18 40 HELA +PI -λPhosph HELA -PI +λPhosph HELA -PI +λPhosph 7.5 2.5 3.0 3.5 4.0 4.5 20 S/N (Error Bars = 2 SD) P-GSK P21 Protein detection is highly correlated with gold standard techniques for IHC analysis from FFPE. Specifically, upregulation of phospho-targets is seen after stimulation and can be blocked by treatment with lambda phosphatase. 15 wt APC R876 NRASQ61K wt wt V600E V600E V600E wt wt wt Genotype P-ERK P14 10 wt P-Mek P26 pS6/S6 pERK/ERK pAKT/AKT P-pras P13 5 0 HELA -PI -λPhosph FOR RESEARCH USE ONLY. Not for use in diagnostic procedures. www.nanostring.com | [email protected] | 0 Phospho-Targets Across Treatments 5.0 nCounter (Counts Log10) 0.2 0.1 HELA -PI -λPhosph 8.0 2.0 0.3 20 0 1.5 • @nanostringtech © 2016 NanoString Technologies, Inc. All rights reserved. Patents pending. NanoString, NanoString Technologies, the NanoString logo, nCounter, 3D Biology, and Vantage 3D are registered trademarks or trademarks of NanoString Technologies, Inc., in the United States and/or other countries. HELA +PI -λPhosph HELA -PI +λPhosph HELA -PI +λPhosph Protein targets drastically changed by treatment above show consistent profiles across genotype at baseline in FFPE samples. Interestingly, the sample with an activating NRAS mutation shows increased ERK phosphorylation despite not change ERK RNA highlighting the importance of integrated DNA, RNA, protein and phospho-protein profiling. AUTHORS: Elizabeth Manrao, Dae Kim, Gavin Meredith, P. Martin Ross, Jill McKay-Fleisch, Erin Piazza, Celine Ngouenet, Mingdong Liu, Patrick Danaher, Gokhan Demirkan, Brian Filanoski, Brian Birditt, Gary Geiss and Joseph Beechem Superscripts DATE