Distribution of tumor-infiltrating immune cells in glioblastoma
Descripción del Articulo
Aim: Evaluation of features related to infiltrating immune cell level in glioblastoma. Methods: Tumor-infiltrating lymphocytes (TILs) through H&E staining, and TILs (CD3, CD4, CD8 and CD20) and macrophage (CD68 and CD163) levels through immunohistochemistry were evaluated through digital analysi...
| Autores: | , , , , , , , , , , , , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2018 |
| Institución: | Instituto Nacional de Enfermedades Neoplásicas |
| Repositorio: | INEN-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.inen.sld.pe:inen/148 |
| Enlace del recurso: | https://repositorio.inen.sld.pe/handle/inen/148 |
| Nivel de acceso: | acceso abierto |
| Materia: | MGMT biomarker glioblastoma macrophages overall survival prognosis tumor-infiltrating lymphocytes https://purl.org/pe-repo/ocde/ford#3.02.21 |
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Orrego Puelles, Enrique,Castaneda, Carlos ACastillo, MiluskaBernabe, LACasavilca, SandroChakravarti, AMeng, WGarcia-Corrochano, PamelaVilla-Robles, MRZevallos, RMejia, ODeza, PedroBelmar-LopezOjeda, CL2024-07-01T16:29:07Z2024-07-01T16:29:07Z2018Aim: Evaluation of features related to infiltrating immune cell level in glioblastoma. Methods: Tumor-infiltrating lymphocytes (TILs) through H&E staining, and TILs (CD3, CD4, CD8 and CD20) and macrophage (CD68 and CD163) levels through immunohistochemistry were evaluated through digital analysis. Results: CD68 (9.1%), CD163 (2.2%), CD3 (1.6%) and CD8 (1.6%) had the highest density. Higher CD4+ was associated with unmethylated MGMT (p = 0.016). Higher CD8+ was associated with larger tumoral size (p = 0.027). Higher CD163+ was associated with higher age (p = 0.044) and recursive partitioning analysis = 4. Women (p < 0.05), total resection (p < 0.05), MGMT-methylation (p < 0.001), radiotherapy (p < 0.001), chemotherapy (p < 0.001) and lower CD4+ (p < 0.05) were associated with longer overall survival. Conclusion: Macrophages are more frequent than TILs. Some subsets are associated with clinical features.application/pdf10.2217/cns-2017-0037https://repositorio.inen.sld.pe/handle/inen/148engCNS OncolUKFuture Medicine Ltd.info:eu-repo/semantics/openAccessdc.rights.uri: https//creativecomons.org/licenses/by/4.0/MGMTbiomarkerglioblastomamacrophagesoverall survivalprognosistumor-infiltrating lymphocyteshttps://purl.org/pe-repo/ocde/ford#3.02.21Distribution of tumor-infiltrating immune cells in glioblastomainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:INEN-Institucionalinstname:Instituto Nacional de Enfermedades Neoplásicasinstacron:INENPublicationORIGINAL2018 Orrego Puelles.pdfapplication/pdf2252321https://repositorio.inen.sld.pe/bitstreams/1613a833-7028-4080-aeb9-1a902541cee3/download8d16ba4bcb75a41b1a5f4a9b375b026cMD51TEXT2018 Orrego Puelles.pdf.txt2018 Orrego Puelles.pdf.txtExtracted texttext/plain49787https://repositorio.inen.sld.pe/bitstreams/0e544e55-b79a-4c51-b453-050c59899c90/download928e87ab30fdfa970ec1b3459edfe564MD52THUMBNAIL2018 Orrego Puelles.pdf.jpg2018 Orrego Puelles.pdf.jpgGenerated Thumbnailimage/jpeg4561https://repositorio.inen.sld.pe/bitstreams/7e2223bd-746c-48b5-af52-b2c64e95df1b/download2235b803aa1f95bd586587df0c21d8e8MD53inen/148oai:repositorio.inen.sld.pe:inen/1482024-10-23 17:32:42.17dc.rights.uri: https//creativecomons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttps://repositorio.inen.sld.peRepositorio INENrepositorioinendspace@gmail.com |
| dc.title.none.fl_str_mv |
Distribution of tumor-infiltrating immune cells in glioblastoma |
| title |
Distribution of tumor-infiltrating immune cells in glioblastoma |
| spellingShingle |
Distribution of tumor-infiltrating immune cells in glioblastoma Orrego Puelles, Enrique, MGMT biomarker glioblastoma macrophages overall survival prognosis tumor-infiltrating lymphocytes https://purl.org/pe-repo/ocde/ford#3.02.21 |
| title_short |
Distribution of tumor-infiltrating immune cells in glioblastoma |
| title_full |
Distribution of tumor-infiltrating immune cells in glioblastoma |
| title_fullStr |
Distribution of tumor-infiltrating immune cells in glioblastoma |
| title_full_unstemmed |
Distribution of tumor-infiltrating immune cells in glioblastoma |
| title_sort |
Distribution of tumor-infiltrating immune cells in glioblastoma |
| author |
Orrego Puelles, Enrique, |
| author_facet |
Orrego Puelles, Enrique, Castaneda, Carlos A Castillo, Miluska Bernabe, LA Casavilca, Sandro Chakravarti, A Meng, W Garcia-Corrochano, Pamela Villa-Robles, MR Zevallos, R Mejia, O Deza, Pedro Belmar-Lopez Ojeda, CL |
| author_role |
author |
| author2 |
Castaneda, Carlos A Castillo, Miluska Bernabe, LA Casavilca, Sandro Chakravarti, A Meng, W Garcia-Corrochano, Pamela Villa-Robles, MR Zevallos, R Mejia, O Deza, Pedro Belmar-Lopez Ojeda, CL |
| author2_role |
author author author author author author author author author author author author author |
| dc.contributor.author.fl_str_mv |
Orrego Puelles, Enrique, Castaneda, Carlos A Castillo, Miluska Bernabe, LA Casavilca, Sandro Chakravarti, A Meng, W Garcia-Corrochano, Pamela Villa-Robles, MR Zevallos, R Mejia, O Deza, Pedro Belmar-Lopez Ojeda, CL |
| dc.subject.none.fl_str_mv |
MGMT biomarker glioblastoma macrophages overall survival prognosis tumor-infiltrating lymphocytes |
| topic |
MGMT biomarker glioblastoma macrophages overall survival prognosis tumor-infiltrating lymphocytes https://purl.org/pe-repo/ocde/ford#3.02.21 |
| dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#3.02.21 |
| description |
Aim: Evaluation of features related to infiltrating immune cell level in glioblastoma. Methods: Tumor-infiltrating lymphocytes (TILs) through H&E staining, and TILs (CD3, CD4, CD8 and CD20) and macrophage (CD68 and CD163) levels through immunohistochemistry were evaluated through digital analysis. Results: CD68 (9.1%), CD163 (2.2%), CD3 (1.6%) and CD8 (1.6%) had the highest density. Higher CD4+ was associated with unmethylated MGMT (p = 0.016). Higher CD8+ was associated with larger tumoral size (p = 0.027). Higher CD163+ was associated with higher age (p = 0.044) and recursive partitioning analysis = 4. Women (p < 0.05), total resection (p < 0.05), MGMT-methylation (p < 0.001), radiotherapy (p < 0.001), chemotherapy (p < 0.001) and lower CD4+ (p < 0.05) were associated with longer overall survival. Conclusion: Macrophages are more frequent than TILs. Some subsets are associated with clinical features. |
| publishDate |
2018 |
| dc.date.accessioned.none.fl_str_mv |
2024-07-01T16:29:07Z |
| dc.date.available.none.fl_str_mv |
2024-07-01T16:29:07Z |
| dc.date.issued.fl_str_mv |
2018 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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10.2217/cns-2017-0037 |
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https://repositorio.inen.sld.pe/handle/inen/148 |
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10.2217/cns-2017-0037 |
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https://repositorio.inen.sld.pe/handle/inen/148 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartof.none.fl_str_mv |
Future Medicine Ltd. |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
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dc.rights.uri: https//creativecomons.org/licenses/by/4.0/ |
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openAccess |
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dc.rights.uri: https//creativecomons.org/licenses/by/4.0/ |
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application/pdf |
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CNS Oncol |
| dc.publisher.country.none.fl_str_mv |
UK |
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CNS Oncol |
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reponame:INEN-Institucional instname:Instituto Nacional de Enfermedades Neoplásicas instacron:INEN |
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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).