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APPLICATION NOTE
nCounter® Vantage 3D™ Solid Tumor Profiling
A.
GENE EXPRESSION SIGNATURE
80
V600E/V600E
WT/V600E
60
WT/WT
40
20
Response score
Simultaneous Analysis of DNA,
RNA, and Protein Expression in
FFPE Melanoma Samples
Introduction
0
-20
-40
-60
-80
5
0
10
15
20
25
Hours of treatment with vemurafenib
DNA SNV
GENOTYPE
RNA
EXPRESSION
PROTEIN
EXPRESSION
DRUG
TREATMENT
+ vem
Hom Mut
Het
WT
Hom Mut
WT
WT
B.
+ vem + tram
Het
WT
WT
WT
WT
WT
+ vem
+ vem + tram
+ vem
WT
WT
Het
WT
Het
Het
The lifetime risk of developing melanoma of the skin is 2.4%.1 The latest data
demonstrate an increasing incidence of this malignancy in the US2 with more
than 76,000 cases expected to be diagnosed in 2016.3 Survival is highly dependent on the cancer stage, ranging from 97% (Stage IA) to just 15% (Stage
IV).3 Improved treatments, driven by precision medicine and personalized
medicine efforts, have been approved in recent years. For example, in 2011
Zelboraf (Vemurafenib, Roche) was introduced as a treatment for melanomas with the BRAF V600E mutation. This mutant-specific inhibitor downregulates the proliferative signal through the MAP kinase pathway caused
by the activated kinase domain of BRAF V600E. While successful, resistance
mechanisms have emerged.
+ vem + tram
NanoString’s 3D Biology™ technology enables analysis of DNA, RNA, and
protein simultaneously on the NanoString nCounter® system. We have
previously demonstrated, using the 3D Biology approach, that drug response
to Vemurafenib (+/- Trametinib) was most pronounced in the homozygous
BRAF V600E cell line yielding significant changes in gene and protein
expression, including the tumor-survival promoting 5-ectonucleotidase
CD73, a candidate target to improve melanoma therapy and intracellular
phosphorylation state changes consistent with the mechanism of action
of therapeutic kinase inhibitors (Figure 1). In this study, we extend those
findings and demonstrate how the nCounter platform, a digital singlemolecule detection technology using optical barcodes, can be utilized
with the nCounter Vantage 3D Solid Tumor Assay to rapidly detect single
nucleotide variants (SNV) and measure gene, protein, and phospho-protein
expression simultaneously from FFPE samples to potentially monitor
treatment effectiveness or identify new biomarkers for melanoma, in the
case of BRAF inhibitor resistance.
EGFR
p−EGFR
Syk
p−Syk
Akt
p−Akt
p−Pra40s
p−cRaf
Mek
p−Mek
Erk
p−Erk
S6
p−S6
Her2
Gsk−3b
BRAF
CDK4
MSH2
NLRP3
NRAS
PARP1
Down-regulated
C.
RNA EXPRESSION
BRAF V600E/V600E
Confidence
Confidence
WT BRAF
≥99.5%
−6
−4
≥99.5%
−2
0
2
4
6
−6
−4
−2
0
2
4
6
Fold change with drug
Fold change with drug
PROTEIN PHOSPHORYLATION
2
log2 fold-change with drug
As a consequence, combined BRAF and MEK inhibition treatments have
been introduced that prevent mitogen-activated protein kinase (MAPK)
reactivation4 as a mechanism of resistance to monotherapy with a BRAF
inhibitor. This approach is now considered the standard of care treatment for
patients with BRAF V600E mutant metastatic melanoma. In addition, there
is interest to combine MAPK-targeted therapy and cancer immunotherapy
with the goal of achieving higher response rates with prolonged duration. A
growing body of evidence supports combinatorial approaches that merge
the significant response rate of BRAF inhibitor-based targeted therapy with
long-term durable responses of immunotherapy in patients with advanced
melanoma.5,6
Up-regulated
1
-1
WT BRAF
BRAF V600E/V600E
p-EGFR/EGFR
p-AKT/AKT
p-MEK/MEK
p-ERK/ERK
p-S6/S6
-2
-3
Figure 1 Drug response by BRAF genotype. A. A BRAF genotype-specific, 16-gene
signature of drug response7 was profiled in cell lines on the nCounter platform.
B. DNA, RNA, and protein were quantified simultaneously. Heatmaps represent
average levels from biological triplicate samples after normalization to controls. For
8 hours, single and combination drug treatment was measured against treatment
with vehicle (DMSO) alone. C. Vemurafenib shows remarkably few off-target gene
expression effects in cells with WT BRAF V600 alleles. 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.
NanoString® Technologies, Inc.
1
APPLICATION NOTE
nCounter® Vantage 3D™ Solid Tumor Profiling
Material & Methods
In this this study, 6 melanoma FFPE samples were profiled according to
the workflow shown in Figure 2.
Briefly, RNA and DNA were extracted using the Qiagen AllPrep kit
according to manufacturer’s recommendations. An additional slide was
Figure 2 nCounter® Vantage 3D™ FFPE workflow
2
NanoString® Technologies, Inc.
incubated with NanoString barcoded antibodies according to the nCounter
Vantage 3D Protein FFPE protocol. Hybridization and quantification of
DNA and RNA:Protein was carried out according to NanoString protocols
on the nCounter platform. The resulting raw data were analyzed using
NanoString’s nSolver™ Advanced Analysis.
APPLICATION NOTE
nCounter® Vantage 3D™ Solid Tumor Profiling
Results
BRAF Status
WT
Other SNV:
BRAF Status:
V600E
Based on the built-in process controls, all of our samples passed internal
QC metrics and met or exceeded the requirements for background,
sensitivity, and assay linearity. For SNV detection, we analyzed 104
polymorphic sites in 25 cancer-related genes using the Vantage 3D DNA
SNV Solid Tumor panel. In 3 out of 6 (50%) of our samples, we detected
the V600E variant (Figure 3) in homozygous configuration. Analysis of
the variants for the gDNA also identified the presence of cancer-related
homozygous APC R876 or NRAS Q61K mutations either in combination
with or without BRAF V600E, respectively.
The addition of RNA and protein expression profiles generated using
the Vantage 3D RNA:Protein Solid Tumor assay revealed that the
presence of NRAS Q61K was associated with a substantial increase
in the phosphorylation of ERK protein (Figure 4), and therefore
activation of the MAPK pathway. However, total ERK protein levels did
not change significantly across samples nor did the RNA expression
of MAPK3 (ERK) (Figure 5).
WT
APC R876
NRAS Q61K
RNA:Protein
Solid Tumor Assay
for FFPE
(770 RNA, 26 Proteins)
Sample 1
Sample 2
Sample 3
Sample 4
Sample 5
Sample 6
Figure 3 Genotype and RNA and protein expression profile for 6 melanoma
FFPE samples. Heatmap generated using nSolver Advanced Analysis.
0.60
pS6/S6
pERK/ERK
0.51
pAKT/AKT
Phospho/total protein (counts)
The addition of RNA and protein expression profiles generated using
the Vantage 3D RNA:Protein Solid Tumor assay revealed that the
presence of NRAS Q61K was associated with a substantial increase
in the phosphorylation of ERK protein (Figure 4), and therefore
activation of the MAPK pathway. However, total ERK protein levels did
not change significantly across samples nor did the RNA expression
of MAPK3 (ERK) (Figure 5).
Other SNV
0.42
0.34
0.25
0.17
0.08
Discussion
0
Other SNV:
BRAF Status:
This 3D Biology proof-of-principle study shows the simple and fast
identification of the mutational load for cancer-associated genes and
their impact on the expression of mRNA in 13 key cancer driver pathways,
as well as changes in the downstream expression and activation of key
regulatory proteins. We identified distinct molecular profiles in melanoma
samples based on their BRAF mutational status and profiled the impact
of additional mutations in other oncogenes on the RNA and protein level.
WT
V600E
WT
V600E
APC R876
V600E
NRAS Q61K
WT
WT
WT
WT
WT
Genotype
Figure 4 Protein expression profile for a subset of total and phospho-protein
targets.
BRAF Status: V600E
Other SNV: APC R876
V600E
V600E
WT
WT
WT
WT
WT
WT
WT
NRAS Q61K
CCND1
Notably, the observed changes in gene and protein expression in the
NRAS Q61K sample may suggest a different mechanism of malignant
transformation in these tumor cells as compared to BRAF V600E
samples. Activation of ERK in the NRAS Q61K sample may be exploited
by treatment with an ERK dimerization inhibitor to block extra-nuclear
signaling of ERK.8
DUSP4
DUSP6
ETV1
FOS
FOSL1
HES1
HMGA2
HPGD
ID2
MAPK3
MYC
NR4A3
In summary, we demonstrate the successful, simultaneous
identification of cancer-related variants (mutations) and associated
mRNA and protein expression changes in melanoma FFPE samples
using minimal sample input. Our 3D Biology approach, in principal,
could be used in research studies to determine the cancer’s molecular
makeup to better understand the mechanisms of disease.
PPARGC1A
SPRY1
SPRY2
Figure 5 Subset of RNA targets identified previously as a 16 gene signature
that is BRAF genotype specific and predictive of drug response (Figure 1)7
shown at baseline in this sample subset.
NanoString® Technologies, Inc.
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APPLICATION NOTE
nCounter® Vantage 3D™ Solid Tumor Profiling
References
1. DevCan 6.7.3. (2015). National Cancer Institute. Retrieved from https://surveillance.cancer.gov/devcan/
2. Mounessa J, Qin R, Dunnick CA, Dellavalle RP (2016) Chemoprevention of Keratinocyte Carcinomas: An Updated Review. Am J Clin Dermatol. 17(5):475-484.
3. American Cancer Society. (2016 May 20). Key statistics for melanoma skin cancer. Retrieved from http://www.cancer.org/cancer/
skincancer-melanoma/detailedguide/melanoma-skin-cancer-key-statistics
4. Aggarwal BB, Gupta SC, Kim JH (2012) Historical perspectives on tumor necrosis factor and its superfamily: 25 years later, a golden journey.
Blood. 119:651-65.
5. Hu-Lieskovan S, Robert L, Homet Moreno B, Ribas A (2014) Combining targeted therapy with immunotherapy in BRAF-mutant melanoma:
promise and challenges. J Clin Oncol. 32:2248-54.
6. Homet Moreno B, Mok S, Comin-Anduix B, Hu-Lieskovan S, Ribas A (2015) Combined treatment with dabrafenib and trametinib with immunestimulating antibodies for BRAF mutant melanoma. Oncoimmunology. 5(7):e1052212.
7. Joseph EW, Pratilas CA, Poulikakos PI, Tadi M, Wang W, Taylor BS, Halilovic E, Persaud Y, Xing F, Viale A, Tsai J, Chapman PB, Bollag G, Solit DB, Rosen
N (2010) The RAF inhibitor PLX4032 inhibits ERK signaling and tumor cell proliferation in a V600E BRAF-selective manner. PNAS. 107(33):14903-8.
8. Herrero A, Pinto A, Colón-Bolea P, Casar B, Jones M, Agudo-Ibáñez L, Vidal R, Tenbaum SP, Nuciforo P, Valdizán EM, Horvath Z, Orfi L, PinedaLucena A, Bony E, Keri G, Rivas G, Pazos A, Gozalbes R, Palmer HG, Hurlstone A, Crespo P (2015) Small Molecule Inhibition of ERK Dimerization
Prevents Tumorigenesis by RAS-ERK Pathway Oncogenes. Cancer Cell. 28(2):170-82.
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FOR RESEARCH USE ONLY. Not for use in diagnostic procedures.
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