On June 02, 2016 NanoString Technologies, Inc. (NASDAQ:NSTG), a provider of life science tools for translational research and molecular diagnostic products, reported the highlights of numerous advances in precision oncology and immunotherapy using the nCounter platform that will be presented at the Annual Meeting of the American Society of Clinical Oncology (ASCO) (Free ASCO Whitepaper) (Press release, NanoString Technologies, JUN 2, 2016, View Source [SID:1234512957]).
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"For more than 50 years the American Society of Clinical Oncology (ASCO) (Free ASCO Whitepaper) has been pioneering cancer research and advancing the care of patients with cancer around the world," said Brad Gray, president and chief executive officer of NanoString Technologies. "We are proud to participate in the ASCO (Free ASCO Whitepaper) Annual Meeting and to have the opportunity to highlight the groundbreaking cancer research and diagnostic assays that are being enabled through the nCounter platform and our expanding portfolio of 3D Biology products."
More than 30 abstracts will be presented at the ASCO (Free ASCO Whitepaper) Annual Meeting, which is being held June 3rd through June 7th, 2016 in Chicago, Illinois, that demonstrate the value of the nCounter Platform. In particular, several abstracts provide additional insights on the development and performance of NanoString’s investigational assays in development for immuno-oncology and lymphoma.
In immuno-oncology, NanoString and collaborators will present new details on nCounter-based assays under development for prediction of response to the checkpoint inhibitor pembrolizumab, including:
An interferon-gamma gene signature was shown to predict response more accurately than PD-L1 IHC in squamous cell carcinoma of the head and neck. This research further demonstrates the power of gene expression profiling on the nCounter Analysis System as a biomarker in immuno-oncology. (Abstract #6010)
An interferon-gamma gene signature and an expanded immune gene signature predicted response in five tumor types from the basket trial KEYNOTE-28, underscoring the potentially broad applicability of gene signatures in assessing patient response (Abstract #1536).
Data on the development and analytical performance of an nCounter-based assay incorporating an immune-related gene signature to predict response to checkpoint inhibition in eleven different tumor types. The data show that this assay is robust and may be well-suited to clinical applications. The signature is being evaluated as a predictive biomarker in multiple indications in several studies (Abstract #3034).
In lymphoma, NanoString and collaborators are presenting results generated using nCounter-based assays, including:
An update on the ongoing ROBUST trial, a global pivotal phase 3 trial evaluating the addition of lenalidomide to R-CHOP therapy in untreated ABC-type Diffuse Large B-cell Lymphoma (DLBCL) selected by NanoString’s investigational Cell-of-Origin assay. The results show that real-time testing of Cell-of-Origin using nCounter is feasible in a multi-center, global study with turnaround time of less than 3 days, demonstrating that a decentralized gene expression test can be used to select patients for a clinical trial where rapid results are critical for enrollment (Abstract #7538).
Independent validation of the nCounter-based Cell-of-Origin assay through comparison to subtyping using DNA microarrays. The assay proved to be highly efficient and reliable in an independent series of samples evaluated by a team of researchers not involved in the development of the assay. This research highlights the high concordance between the NanoString assay and the conventional microarray method as well as the robustness and ease of use of the assay, which can be successfully deployed in laboratories around the world (Abstract #7547).
The 2016 ASCO (Free ASCO Whitepaper) abstracts describe research and clinical applications that underscore the diverse capabilities and robust performance of the nCounter platform. The studies cover a wide range of cancers, tissue types (FFPE, peripheral blood and urine), and treatment modalities.
At the 2016 ASCO (Free ASCO Whitepaper) Annual Meeting, NanoString will showcase its nCounter platform and 3D Biology capabilities at booth #8151.
Abstract # Summary Hyperlink
4525 Subclassification and outcome prediction of patients with muscle invasive urothelial carcinoma (MIUC) treated by radical cystectomy (RC) with a NanoString based molecular screening. View Source
3034 Development and analytical performance of a molecular diagnostic for anti-PD1 response on the nCounter Dx Analysis System. View Source
3008 Epigenetic control of CD4/CD8 lineage commitment and resistance to tumor infiltrating lymphocyte adoptive cell therapy for metastatic melanoma. View Source
6056 Immune-related gene expression signatures as predictive biomarkers for outcome after concurrent chemoradiation in patients with locally advanced oropharyngeal carcinomas. View Source
11522 Derivation of gene expression classifiers for the non-invasive detection of bladder cancer in the hematuria and recurrence surveillance populations. View Source
e16014 Multiplatform comprehensive kinase analysis of muscle-invasive bladder cancer (MIBC) to identify potentially actionable therapeutic targets. View Source
10561 Patterns of PD-1, PD-L1 and PD-L2 expression in pediatric solid tumors. View Source
TPS3636 The FUNNEL: A molecular multiplex triage for precision medicine in metastatic colorectal cancer. View Source
3038 Association of response to programmed death 1 receptor or ligand (PD1/PDL1) blockade with immune-related gene expression profiling across three cancer-types. View Source
7045 Up-regulation of BAALC/MN1/MLLT11/EVI1 gene cluster in relation to MYC / BCL2 protein co-expression and poor overall survival in acute myeloid leukemia (AML). View Source
e20089 Preliminary analysis of genomic profiling of small cell lung cancer in Chinese population revealed frequent PIK3CA hotspot mutations. View Source
e23235 Analysis of RSPO gene expression in solid tumors. View Source
e14565 Safety and immunologic activity of anakinra in HER2-negative metastatic breast cancer (MBC). View Source
10509 Relationship of BRAF V600E and associated secondary mutations on survival rate and response to conventional therapies in childhood low-grade glioma. View Source
e17103 Genomic profiling of high-intermediate risk endometrial cancer to differentiate recurrence risk. View Source
3570 Influence of mRNA expression of fibroblast growth factor 2 (FGF2) in colorectal cancer (CRC) cell lines and in patients with metastatic colorectal cancer (mCRC) treated with FUFIRI or mIrOx (FIRE1). View Source
7510 Prognostic significance of the proliferation signature in mantle cell lymphoma measured using digital gene expression in formalin-fixed paraffin-embedded tissue biopsies. View Source
TPS7575 Rituximab, lenalidomide, and ibrutinib alone and combined with dose adjusted chemotherapy for patients with high risk diffuse large B-cell lymphoma. View Source
7538 Feasibility of real-time cell-of-origin subtype identification by gene expression profile in the phase 3 trial of lenalidomide plus R-CHOP vs placebo plus R-CHOP in patients with untreated ABC-type diffuse large B-cell lymphoma (ROBUST). View Source
TPS7577 A phase 2 study of PNT2258 in patients with relapsed or refractory (r/r) diffuse large b-cell lymphoma (DLBCL): An initial report from the Wolverine study. View Source
6010 Biomarkers and response to pembrolizumab (pembro) in recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC). View Source
e20014 The upregulation of FOXA2 transcription factor in RET rearranged lung adenocarcinoma. View Source
e16023 PD1, PDL1, PDL2 tumor tissue (TT) expression as predictors of response to neoadjuvant chemotherapy (NAC) and outcome in bladder cancer (BC). View Source
543 Prospective multicenter study of the impact of the Prosigna assay on adjuvant clinical decision-making in women with early stage breast cancer: which patients are the best candidates? View Source
7547 Classification of diffuse large b-cell lymphoma (DLBCL) FFPE samples of the GELA LNH2003 program, using Lymph2Cx assay on the nCounter analysis system. View Source
1536 T-cell inflamed phenotype gene expression signatures to predict clinical benefit from pembrolizumab across multiple tumor types. View Source
3510 Clinical outcome and benefit of oxaliplatin in colon cancer according to intrinsic subtypes: Results from NRG Oncology/NSABP C-07. View Source
1585 Male breast cancer: correlation between immunohistochemical subtyping and PAM50 intrinsic subtypes. View Source
575 A retrospective study of SPAG5 expression and its clinical implications in > 8,000 patients of ER positive (ER+) breast cancer (BC): Genomic, transcriptomic and protein analysis. View Source
569 Outcomes of single versus double hormone receptor positive breast cancer. View Source
TPS623 OPTIMA (Optimal Personalised Treatment of early breast cancer usIng Multi-parameter Analysis): A prospective trial to validate the predictive utility and cost-effectiveness of gene expression test-directed chemotherapy decisions. View Source
e23143 The genomic profile (GP) of early breast cancer (EBC): Daily practice analysis. View Source
555 A test utilizing diagnostic and on-treatment biomarkers to improve prediction of response to endocrine therapy in breast cancer. View Source