Molecular profiling to identify relevant immune resistance mechanisms in the tumor microenvironment

Autores
Gajewski, Thomas F.; Fuertes, Mercedes Beatriz; Spaapen, Robbert; Zheng, Yan; Kline, Justin
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The molecular identification of tumor antigens initially catalyzed substantial enthusiasm for the development of tumor antigen-based vaccines for the treatment of cancer. However, numerous vaccine approaches in melanoma and other cancers have yielded a low rate of clinical response, despite frequent induction of specific T cells as detected in the peripheral blood. This observation has prompted several investigators to begin interrogating the tumor microenvironment for biologic correlates to tumor response versus resistance. Evidence is beginning to emerge suggesting that distinct subsets of tumors may exist that reflect distinct categories of immune escape. Lack of chemokine-mediated trafficking, poor innate immune cell activation, and the presence of specific immune suppressive mechanisms can be found to characterize subsets of tumors. A non-inflamed tumor phenotype may predict for resistance to cancer vaccines, suggesting a possible predictive biomarker and patient enrichment strategy. But in addition, characterization of these subsets may pave the way for catering therapeutic interventions toward the biologic features of the tumor in individual patients.
Fil: Gajewski, Thomas F.. University Of Chicago; Estados Unidos
Fil: Fuertes, Mercedes Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental (i); Argentina. University Of Chicago; Estados Unidos
Fil: Spaapen, Robbert. University Of Chicago; Estados Unidos
Fil: Zheng, Yan. University Of Chicago; Estados Unidos
Fil: Kline, Justin. University Of Chicago; Estados Unidos
Materia
Tumor
Innate Immunity
Adaptive Immunity
Escape
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/10891
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/10891
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Molecular profiling to identify relevant immune resistance mechanisms in the tumor microenvironmentGajewski, Thomas F.Fuertes, Mercedes BeatrizSpaapen, RobbertZheng, YanKline, JustinTumorInnate ImmunityAdaptive ImmunityEscapehttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3The molecular identification of tumor antigens initially catalyzed substantial enthusiasm for the development of tumor antigen-based vaccines for the treatment of cancer. However, numerous vaccine approaches in melanoma and other cancers have yielded a low rate of clinical response, despite frequent induction of specific T cells as detected in the peripheral blood. This observation has prompted several investigators to begin interrogating the tumor microenvironment for biologic correlates to tumor response versus resistance. Evidence is beginning to emerge suggesting that distinct subsets of tumors may exist that reflect distinct categories of immune escape. Lack of chemokine-mediated trafficking, poor innate immune cell activation, and the presence of specific immune suppressive mechanisms can be found to characterize subsets of tumors. A non-inflamed tumor phenotype may predict for resistance to cancer vaccines, suggesting a possible predictive biomarker and patient enrichment strategy. But in addition, characterization of these subsets may pave the way for catering therapeutic interventions toward the biologic features of the tumor in individual patients.Fil: Gajewski, Thomas F.. University Of Chicago; Estados UnidosFil: Fuertes, Mercedes Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental (i); Argentina. University Of Chicago; Estados UnidosFil: Spaapen, Robbert. University Of Chicago; Estados UnidosFil: Zheng, Yan. University Of Chicago; Estados UnidosFil: Kline, Justin. University Of Chicago; Estados UnidosElsevier2011-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/10891Gajewski, Thomas F. ; Fuertes, Mercedes Beatriz; Spaapen, Robbert ; Zheng, Yan ; Kline, Justin ; Molecular profiling to identify relevant immune resistance mechanisms in the tumor microenvironment; Elsevier; Current Opinion In Immunology; 23; 2; 4-2011; 286-2920952-7915enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6VS1-51SK6MC-2-1&_cdi=6249&_user=7223143&_pii=S0952791510002013&_origin=&_coverDate=04%2F30%2F2011&_sk=999769997&view=c&wchp=dGLzVlb-zSkWb&md5=3ffd90dfd53a9025e2d40ce2ff9212a9&ie=/sdarticle.pdfinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.coi.2010.11.013info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3070788/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:45:45Zoai:ri.conicet.gov.ar:11336/10891instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:45:45.341CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Molecular profiling to identify relevant immune resistance mechanisms in the tumor microenvironment
title Molecular profiling to identify relevant immune resistance mechanisms in the tumor microenvironment
spellingShingle Molecular profiling to identify relevant immune resistance mechanisms in the tumor microenvironment
Gajewski, Thomas F.
Tumor
Innate Immunity
Adaptive Immunity
Escape
title_short Molecular profiling to identify relevant immune resistance mechanisms in the tumor microenvironment
title_full Molecular profiling to identify relevant immune resistance mechanisms in the tumor microenvironment
title_fullStr Molecular profiling to identify relevant immune resistance mechanisms in the tumor microenvironment
title_full_unstemmed Molecular profiling to identify relevant immune resistance mechanisms in the tumor microenvironment
title_sort Molecular profiling to identify relevant immune resistance mechanisms in the tumor microenvironment
dc.creator.none.fl_str_mv Gajewski, Thomas F.
Fuertes, Mercedes Beatriz
Spaapen, Robbert
Zheng, Yan
Kline, Justin
author Gajewski, Thomas F.
author_facet Gajewski, Thomas F.
Fuertes, Mercedes Beatriz
Spaapen, Robbert
Zheng, Yan
Kline, Justin
author_role author
author2 Fuertes, Mercedes Beatriz
Spaapen, Robbert
Zheng, Yan
Kline, Justin
author2_role author
author
author
author
dc.subject.none.fl_str_mv Tumor
Innate Immunity
Adaptive Immunity
Escape
topic Tumor
Innate Immunity
Adaptive Immunity
Escape
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv The molecular identification of tumor antigens initially catalyzed substantial enthusiasm for the development of tumor antigen-based vaccines for the treatment of cancer. However, numerous vaccine approaches in melanoma and other cancers have yielded a low rate of clinical response, despite frequent induction of specific T cells as detected in the peripheral blood. This observation has prompted several investigators to begin interrogating the tumor microenvironment for biologic correlates to tumor response versus resistance. Evidence is beginning to emerge suggesting that distinct subsets of tumors may exist that reflect distinct categories of immune escape. Lack of chemokine-mediated trafficking, poor innate immune cell activation, and the presence of specific immune suppressive mechanisms can be found to characterize subsets of tumors. A non-inflamed tumor phenotype may predict for resistance to cancer vaccines, suggesting a possible predictive biomarker and patient enrichment strategy. But in addition, characterization of these subsets may pave the way for catering therapeutic interventions toward the biologic features of the tumor in individual patients.
Fil: Gajewski, Thomas F.. University Of Chicago; Estados Unidos
Fil: Fuertes, Mercedes Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental (i); Argentina. University Of Chicago; Estados Unidos
Fil: Spaapen, Robbert. University Of Chicago; Estados Unidos
Fil: Zheng, Yan. University Of Chicago; Estados Unidos
Fil: Kline, Justin. University Of Chicago; Estados Unidos
description The molecular identification of tumor antigens initially catalyzed substantial enthusiasm for the development of tumor antigen-based vaccines for the treatment of cancer. However, numerous vaccine approaches in melanoma and other cancers have yielded a low rate of clinical response, despite frequent induction of specific T cells as detected in the peripheral blood. This observation has prompted several investigators to begin interrogating the tumor microenvironment for biologic correlates to tumor response versus resistance. Evidence is beginning to emerge suggesting that distinct subsets of tumors may exist that reflect distinct categories of immune escape. Lack of chemokine-mediated trafficking, poor innate immune cell activation, and the presence of specific immune suppressive mechanisms can be found to characterize subsets of tumors. A non-inflamed tumor phenotype may predict for resistance to cancer vaccines, suggesting a possible predictive biomarker and patient enrichment strategy. But in addition, characterization of these subsets may pave the way for catering therapeutic interventions toward the biologic features of the tumor in individual patients.
publishDate 2011
dc.date.none.fl_str_mv 2011-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/10891
Gajewski, Thomas F. ; Fuertes, Mercedes Beatriz; Spaapen, Robbert ; Zheng, Yan ; Kline, Justin ; Molecular profiling to identify relevant immune resistance mechanisms in the tumor microenvironment; Elsevier; Current Opinion In Immunology; 23; 2; 4-2011; 286-292
0952-7915
url http://hdl.handle.net/11336/10891
identifier_str_mv Gajewski, Thomas F. ; Fuertes, Mercedes Beatriz; Spaapen, Robbert ; Zheng, Yan ; Kline, Justin ; Molecular profiling to identify relevant immune resistance mechanisms in the tumor microenvironment; Elsevier; Current Opinion In Immunology; 23; 2; 4-2011; 286-292
0952-7915
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6VS1-51SK6MC-2-1&_cdi=6249&_user=7223143&_pii=S0952791510002013&_origin=&_coverDate=04%2F30%2F2011&_sk=999769997&view=c&wchp=dGLzVlb-zSkWb&md5=3ffd90dfd53a9025e2d40ce2ff9212a9&ie=/sdarticle.pdf
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.coi.2010.11.013
info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3070788/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.885934

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