47 Multispectral imaging to detect immune phenotypes associated with the tumor microenvironment in a multi-tissue study: A full automated 7-color mIF immuno-oncology workflow
BackgroundImmunotherapy and precision medicine are rapidly developing approaches to cancer therapy. Biomarkers that detect the tumor and tumor microenvironment allow for the development of strategies that accelerate the advancement of treatments to enhance a patient’s immune system. Akoya’s MOTiF™ P...
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Published in | Journal for immunotherapy of cancer Vol. 10; no. Suppl 2; p. A50 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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BMJ Publishing Group LTD
01.11.2022
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Abstract | BackgroundImmunotherapy and precision medicine are rapidly developing approaches to cancer therapy. Biomarkers that detect the tumor and tumor microenvironment allow for the development of strategies that accelerate the advancement of treatments to enhance a patient’s immune system. Akoya’s MOTiF™ PD-1/PD-L1 Panel is a validated, multiplex immunoassay enabling detection of the 6 most clinically relevant immuno-oncology and spatial biomarkers: PD-1, PD-L1, FoxP3, CD8, CD68, and PanCK.MethodsThe MOTiF™ PD-1/PD-L1 Panel was used to analyze the tumor microenvironment and specifically assess immune phenotypes of different types of cancers: non-small cell lung cancer (NSCLC), colon adenocarcinoma, head and neck squamous cell carcinoma (HNSCC), and breast cancer.ResultsWe demonstrate the utility of Akoya’s MOTiF™ PD-1/PD-L1 panel kit in studying the cellular diversity of various cancers while retaining spatial context. Stained slides were analyzed using the InForm® and PhenoptrReports image analysis platforms to identify and better understand spatial relationships between a variety of simple and complex cell phenotypes. The MOTiF™ PD-1/PD-L1 panel kit provides reproducibility across different tissue types.ConclusionsThese data provide insight into the innate and adaptive immune environment for targeted design of new immunotherapies and have implications for improving the treatment paradigm across many tumor types. |
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AbstractList | BackgroundImmunotherapy and precision medicine are rapidly developing approaches to cancer therapy. Biomarkers that detect the tumor and tumor microenvironment allow for the development of strategies that accelerate the advancement of treatments to enhance a patient’s immune system. Akoya’s MOTiF™ PD-1/PD-L1 Panel is a validated, multiplex immunoassay enabling detection of the 6 most clinically relevant immuno-oncology and spatial biomarkers: PD-1, PD-L1, FoxP3, CD8, CD68, and PanCK.MethodsThe MOTiF™ PD-1/PD-L1 Panel was used to analyze the tumor microenvironment and specifically assess immune phenotypes of different types of cancers: non-small cell lung cancer (NSCLC), colon adenocarcinoma, head and neck squamous cell carcinoma (HNSCC), and breast cancer.ResultsWe demonstrate the utility of Akoya’s MOTiF™ PD-1/PD-L1 panel kit in studying the cellular diversity of various cancers while retaining spatial context. Stained slides were analyzed using the InForm® and PhenoptrReports image analysis platforms to identify and better understand spatial relationships between a variety of simple and complex cell phenotypes. The MOTiF™ PD-1/PD-L1 panel kit provides reproducibility across different tissue types.ConclusionsThese data provide insight into the innate and adaptive immune environment for targeted design of new immunotherapies and have implications for improving the treatment paradigm across many tumor types. |
Author | Mehra, Navi Mammadova, Najiba Ramirez, Noah Patel, Bhavika Allen, Stephanie Haggerty, Agnes |
Author_xml | – sequence: 1 givenname: Navi surname: Mehra fullname: Mehra, Navi – sequence: 2 givenname: Bhavika surname: Patel fullname: Patel, Bhavika – sequence: 3 givenname: Stephanie surname: Allen fullname: Allen, Stephanie – sequence: 4 givenname: Noah surname: Ramirez fullname: Ramirez, Noah – sequence: 5 givenname: Najiba surname: Mammadova fullname: Mammadova, Najiba – sequence: 6 givenname: Agnes surname: Haggerty fullname: Haggerty, Agnes |
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Copyright | 2022 Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ. |
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Snippet | BackgroundImmunotherapy and precision medicine are rapidly developing approaches to cancer therapy. Biomarkers that detect the tumor and tumor microenvironment... |
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Title | 47 Multispectral imaging to detect immune phenotypes associated with the tumor microenvironment in a multi-tissue study: A full automated 7-color mIF immuno-oncology workflow |
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