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206 Validation of NanoString® technologies for solid tumor clinical studies: robustness, precision and inter-site comparison

BackgroundThe evolution of bulk and spatial Omics technologies coincides with a need for novel biomarkers in clinical studies for diagnostics, prognostics, agnostics, and/or mechanisms of action. Cerba Research is dedicated to validating research-based technologies for use in global clinical studies...

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Published in:Journal for immunotherapy of cancer 2023-11, Vol.11 (Suppl 1), p.A234-A234
Main Authors: Promonet, Alexy, Stroili, Ali-Réza, Pichon, Xavier, Finan-Marchi, Amanda
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container_issue Suppl 1
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container_title Journal for immunotherapy of cancer
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creator Promonet, Alexy
Stroili, Ali-Réza
Pichon, Xavier
Finan-Marchi, Amanda
description BackgroundThe evolution of bulk and spatial Omics technologies coincides with a need for novel biomarkers in clinical studies for diagnostics, prognostics, agnostics, and/or mechanisms of action. Cerba Research is dedicated to validating research-based technologies for use in global clinical studies.MethodsCerba Research has developed internal workflows for bulk (nCounter) and spatial (GeoMx) RNA analysis on formalin fixed paraffin embedded (FFPE) tissues with NanoString platforms. The validation tests of robustness, precision, and inter-site are presented here.ResultsnCounter (n=12) and GeoMx (n=16) workflows were successfully applied to a range of solid tumor FFPE tissue including lung, breast, skin, and colon showing robustness of the methods. A high correlation of inter- and intra-assay precision was also measured for RNA extraction (quantity and quality(DV200)) and nCounter assays with the PanCancer IO360 panel (R2≥0.97). Precision of the GeoMx whole transcriptome atlas assay with NGS readout showed an 88% repeatability correlation and 79% for reproducibility. Four non-small cell lung cancer samples were processed (FFPE curls, RNA extraction, nCounter PanCancer Pathway Panel) at both Cerba Research and an external sub-contracted lab. Inter-site analysis showed a correlation of R2=0.94.ConclusionsThese results demonstrate the reliability of these methods at Cerba Research giving confidence to clients for use in clinical studies. Cerba Research is committed to expand these validations to maximize a bulk and spatial Omics offering.
doi_str_mv 10.1136/jitc-2023-SITC2023.0206
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Cerba Research is dedicated to validating research-based technologies for use in global clinical studies.MethodsCerba Research has developed internal workflows for bulk (nCounter) and spatial (GeoMx) RNA analysis on formalin fixed paraffin embedded (FFPE) tissues with NanoString platforms. The validation tests of robustness, precision, and inter-site are presented here.ResultsnCounter (n=12) and GeoMx (n=16) workflows were successfully applied to a range of solid tumor FFPE tissue including lung, breast, skin, and colon showing robustness of the methods. A high correlation of inter- and intra-assay precision was also measured for RNA extraction (quantity and quality(DV200)) and nCounter assays with the PanCancer IO360 panel (R2≥0.97). Precision of the GeoMx whole transcriptome atlas assay with NGS readout showed an 88% repeatability correlation and 79% for reproducibility. Four non-small cell lung cancer samples were processed (FFPE curls, RNA extraction, nCounter PanCancer Pathway Panel) at both Cerba Research and an external sub-contracted lab. Inter-site analysis showed a correlation of R2=0.94.ConclusionsThese results demonstrate the reliability of these methods at Cerba Research giving confidence to clients for use in clinical studies. Cerba Research is committed to expand these validations to maximize a bulk and spatial Omics offering.</description><identifier>EISSN: 2051-1426</identifier><identifier>DOI: 10.1136/jitc-2023-SITC2023.0206</identifier><language>eng</language><publisher>London: BMJ Publishing Group Ltd</publisher><subject>Immunotherapy ; Regular and Young Investigator Award Abstracts</subject><ispartof>Journal for immunotherapy of cancer, 2023-11, Vol.11 (Suppl 1), p.A234-A234</ispartof><rights>Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2023 Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/ . 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Four non-small cell lung cancer samples were processed (FFPE curls, RNA extraction, nCounter PanCancer Pathway Panel) at both Cerba Research and an external sub-contracted lab. Inter-site analysis showed a correlation of R2=0.94.ConclusionsThese results demonstrate the reliability of these methods at Cerba Research giving confidence to clients for use in clinical studies. 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Cerba Research is dedicated to validating research-based technologies for use in global clinical studies.MethodsCerba Research has developed internal workflows for bulk (nCounter) and spatial (GeoMx) RNA analysis on formalin fixed paraffin embedded (FFPE) tissues with NanoString platforms. The validation tests of robustness, precision, and inter-site are presented here.ResultsnCounter (n=12) and GeoMx (n=16) workflows were successfully applied to a range of solid tumor FFPE tissue including lung, breast, skin, and colon showing robustness of the methods. A high correlation of inter- and intra-assay precision was also measured for RNA extraction (quantity and quality(DV200)) and nCounter assays with the PanCancer IO360 panel (R2≥0.97). Precision of the GeoMx whole transcriptome atlas assay with NGS readout showed an 88% repeatability correlation and 79% for reproducibility. 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Regular and Young Investigator Award Abstracts
title 206 Validation of NanoString® technologies for solid tumor clinical studies: robustness, precision and inter-site comparison
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