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Abstract 2089: Highly multiplexed analysis of immune cell subsets in non-small cell lung cancer: validation of protein and RNA analysis by the Nanostring Digital Spatial Profiling (DSP) platform

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Background: Highly multiplexed spatial analysis of tumor tissue is necessary to improve understanding of anti-tumor immunity. Moreover, spatial interrogation of protein and nucleic acid targets simultaneously can better characterize immune… Click to show full abstract

Background: Highly multiplexed spatial analysis of tumor tissue is necessary to improve understanding of anti-tumor immunity. Moreover, spatial interrogation of protein and nucleic acid targets simultaneously can better characterize immune cell subsets and targets such as cytokines that are difficult to detect by immunohistochemistry (IHC). NanoString9s Digital Spatial Profiling (DSP) technology can detect and quantify proteins and RNA at highly multiplexed levels. We compared DSP to flow cytometry (FCM), IHC and in-situ hybridization (ISH) to assess its sensitivity and specificity. Ongoing studies will assess the prevalence and distribution of immune cell subsets, cytokines and tumor cells in 10 non-small cell lung cancer (NSCLC) cases. Methods: 20 FFPE NSCLC cases and 1 peripheral blood mononuclear cell (PBMC) pellet were assayed on the DSP platform. Regions of interest (300 um x 400 um) or single cell masks were selected from HE 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2089.

Keywords: immune cell; analysis; cell subsets; highly multiplexed; cancer; cell

Journal Title: Cancer Research
Year Published: 2018

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