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Paired Expression Analysis of Tumor Cell Surface Antigens

Adoptive immunotherapy with antibody-based therapy or with T cells transduced to express chimeric antigen receptors (CARs) is useful to the extent that the cell surface membrane protein being targeted is not expressed on normal tissues. The most successful CAR-based (anti-CD19) or antibody-based the...

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Autores principales: Orentas, Rimas J., Sindiri, Sivasish, Duris, Christine, Wen, Xinyu, He, Jianbin, Wei, Jun S., Jarzembowski, Jason, Khan, Javed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566986/
https://www.ncbi.nlm.nih.gov/pubmed/28871274
http://dx.doi.org/10.3389/fonc.2017.00173
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author Orentas, Rimas J.
Sindiri, Sivasish
Duris, Christine
Wen, Xinyu
He, Jianbin
Wei, Jun S.
Jarzembowski, Jason
Khan, Javed
author_facet Orentas, Rimas J.
Sindiri, Sivasish
Duris, Christine
Wen, Xinyu
He, Jianbin
Wei, Jun S.
Jarzembowski, Jason
Khan, Javed
author_sort Orentas, Rimas J.
collection PubMed
description Adoptive immunotherapy with antibody-based therapy or with T cells transduced to express chimeric antigen receptors (CARs) is useful to the extent that the cell surface membrane protein being targeted is not expressed on normal tissues. The most successful CAR-based (anti-CD19) or antibody-based therapy (anti-CD20) in hematologic malignancies has the side effect of eliminating the normal B cell compartment. Targeting solid tumors may not provide a similar expendable marker. Beyond antibody to Her2/NEU and EGFR, very few antibody-based and no CAR-based therapies have seen broad clinical application for solid tumors. To expand the way in which the surfaceome of solid tumors can be analyzed, we created an algorithm that defines the pairwise relative overexpression of surface antigens. This enables the development of specific immunotherapies that require the expression of two discrete antigens on the surface of the tumor target. This dyad analysis was facilitated by employing the Hotelling’s T-squared test (Hotelling–Lawley multivariate analysis of variance) for two independent variables in comparison to a third constant entity (i.e., gene expression levels in normal tissues). We also present a unique consensus scoring mechanism for identifying transcripts that encode cell surface proteins. The unique application of our bioinformatics processing pipeline and statistical tools allowed us to compare the expression of two membrane protein targets as a pair, and to propose a new strategy based on implementing immunotherapies that require both antigens to be expressed on the tumor cell surface to trigger therapeutic effector mechanisms. Specifically, we found that, for MYCN amplified neuroblastoma, pairwise expression of ACVR2B or anaplastic lymphoma kinase (ALK) with GFRA3, GFRA2, Cadherin 24, or with one another provided the strongest hits. For MYCN, non-amplified stage 4 neuroblastoma, neurotrophic tyrosine kinase 1, or ALK paired with GFRA2, GFRA3, SSK1, GPR173, or with one another provided the most promising paired-hits. We propose that targeting these markers together would increase the specificity and thereby the safety of CAR-based therapy for neuroblastoma.
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spelling pubmed-55669862017-09-04 Paired Expression Analysis of Tumor Cell Surface Antigens Orentas, Rimas J. Sindiri, Sivasish Duris, Christine Wen, Xinyu He, Jianbin Wei, Jun S. Jarzembowski, Jason Khan, Javed Front Oncol Oncology Adoptive immunotherapy with antibody-based therapy or with T cells transduced to express chimeric antigen receptors (CARs) is useful to the extent that the cell surface membrane protein being targeted is not expressed on normal tissues. The most successful CAR-based (anti-CD19) or antibody-based therapy (anti-CD20) in hematologic malignancies has the side effect of eliminating the normal B cell compartment. Targeting solid tumors may not provide a similar expendable marker. Beyond antibody to Her2/NEU and EGFR, very few antibody-based and no CAR-based therapies have seen broad clinical application for solid tumors. To expand the way in which the surfaceome of solid tumors can be analyzed, we created an algorithm that defines the pairwise relative overexpression of surface antigens. This enables the development of specific immunotherapies that require the expression of two discrete antigens on the surface of the tumor target. This dyad analysis was facilitated by employing the Hotelling’s T-squared test (Hotelling–Lawley multivariate analysis of variance) for two independent variables in comparison to a third constant entity (i.e., gene expression levels in normal tissues). We also present a unique consensus scoring mechanism for identifying transcripts that encode cell surface proteins. The unique application of our bioinformatics processing pipeline and statistical tools allowed us to compare the expression of two membrane protein targets as a pair, and to propose a new strategy based on implementing immunotherapies that require both antigens to be expressed on the tumor cell surface to trigger therapeutic effector mechanisms. Specifically, we found that, for MYCN amplified neuroblastoma, pairwise expression of ACVR2B or anaplastic lymphoma kinase (ALK) with GFRA3, GFRA2, Cadherin 24, or with one another provided the strongest hits. For MYCN, non-amplified stage 4 neuroblastoma, neurotrophic tyrosine kinase 1, or ALK paired with GFRA2, GFRA3, SSK1, GPR173, or with one another provided the most promising paired-hits. We propose that targeting these markers together would increase the specificity and thereby the safety of CAR-based therapy for neuroblastoma. Frontiers Media S.A. 2017-08-21 /pmc/articles/PMC5566986/ /pubmed/28871274 http://dx.doi.org/10.3389/fonc.2017.00173 Text en Copyright © 2017 Orentas, Sindiri, Duris, Wen, He, Wei, Jarzembowski and Khan. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Orentas, Rimas J.
Sindiri, Sivasish
Duris, Christine
Wen, Xinyu
He, Jianbin
Wei, Jun S.
Jarzembowski, Jason
Khan, Javed
Paired Expression Analysis of Tumor Cell Surface Antigens
title Paired Expression Analysis of Tumor Cell Surface Antigens
title_full Paired Expression Analysis of Tumor Cell Surface Antigens
title_fullStr Paired Expression Analysis of Tumor Cell Surface Antigens
title_full_unstemmed Paired Expression Analysis of Tumor Cell Surface Antigens
title_short Paired Expression Analysis of Tumor Cell Surface Antigens
title_sort paired expression analysis of tumor cell surface antigens
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566986/
https://www.ncbi.nlm.nih.gov/pubmed/28871274
http://dx.doi.org/10.3389/fonc.2017.00173
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