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Survival correlation of immune response in human cancers
Background: The clinical benefit of immune response is largely unknown. We systematically explored the correlation of immune response with patient outcome in human cancers. Results: The global immune gene signature was primarily located on the plasma membrane with a high gene density at 6p21 and 1q2...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Impact Journals LLC
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6901338/ https://www.ncbi.nlm.nih.gov/pubmed/31839882 http://dx.doi.org/10.18632/oncotarget.27360 |
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author | Liu, Yuexin |
author_facet | Liu, Yuexin |
author_sort | Liu, Yuexin |
collection | PubMed |
description | Background: The clinical benefit of immune response is largely unknown. We systematically explored the correlation of immune response with patient outcome in human cancers. Results: The global immune gene signature was primarily located on the plasma membrane with a high gene density at 6p21 and 1q23-1q24. Immune responses varied with a wide range in human cancers. A total of 11 cancer types exhibited significant correlation of immune response with overall survival. Higher immune response was significantly associated with longer overall survival in 7 types and with shorter overall survival in 4 types. In addition, 11 cancer types exhibited significant correlation of immune response with progression-free interval. Higher immune response was significantly associated with longer progression-free interval in 7 types and with shorter progression-free interval in 4 types. Methods: The Ingenuity Knowledge Base and human genome assembly GRCh38 were used to annotate the immune gene signature by cellular components and genomic coordinates, respectively. We devised an mRNA-based metric of pre-existing immune conditions by using the gene signature, and calculated the metric for 10,062 The Cancer Genome Atlas tumor samples across 32 different cancer types. The Kaplan-Meier method was used to evaluate the overall survival and progression-free interval differences between dichotomic groups stratified by the median metric for each cancer type. Conclusions: Immune responses have different impacts on patient outcome in different human cancers. Prospective verification is needed before the findings can be applied for clinical trial development. |
format | Online Article Text |
id | pubmed-6901338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-69013382019-12-13 Survival correlation of immune response in human cancers Liu, Yuexin Oncotarget Research Paper Background: The clinical benefit of immune response is largely unknown. We systematically explored the correlation of immune response with patient outcome in human cancers. Results: The global immune gene signature was primarily located on the plasma membrane with a high gene density at 6p21 and 1q23-1q24. Immune responses varied with a wide range in human cancers. A total of 11 cancer types exhibited significant correlation of immune response with overall survival. Higher immune response was significantly associated with longer overall survival in 7 types and with shorter overall survival in 4 types. In addition, 11 cancer types exhibited significant correlation of immune response with progression-free interval. Higher immune response was significantly associated with longer progression-free interval in 7 types and with shorter progression-free interval in 4 types. Methods: The Ingenuity Knowledge Base and human genome assembly GRCh38 were used to annotate the immune gene signature by cellular components and genomic coordinates, respectively. We devised an mRNA-based metric of pre-existing immune conditions by using the gene signature, and calculated the metric for 10,062 The Cancer Genome Atlas tumor samples across 32 different cancer types. The Kaplan-Meier method was used to evaluate the overall survival and progression-free interval differences between dichotomic groups stratified by the median metric for each cancer type. Conclusions: Immune responses have different impacts on patient outcome in different human cancers. Prospective verification is needed before the findings can be applied for clinical trial development. Impact Journals LLC 2019-12-03 /pmc/articles/PMC6901338/ /pubmed/31839882 http://dx.doi.org/10.18632/oncotarget.27360 Text en http://creativecommons.org/licenses/by/3.0/ Copyright: Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Liu, Yuexin Survival correlation of immune response in human cancers |
title | Survival correlation of immune response in human cancers |
title_full | Survival correlation of immune response in human cancers |
title_fullStr | Survival correlation of immune response in human cancers |
title_full_unstemmed | Survival correlation of immune response in human cancers |
title_short | Survival correlation of immune response in human cancers |
title_sort | survival correlation of immune response in human cancers |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6901338/ https://www.ncbi.nlm.nih.gov/pubmed/31839882 http://dx.doi.org/10.18632/oncotarget.27360 |
work_keys_str_mv | AT liuyuexin survivalcorrelationofimmuneresponseinhumancancers |