Cargando…
Immune-related pan-cancer gene expression signatures of patient survival revealed by NanoString-based analyses
The immune system plays a central role in the onset and progression of cancer. A better understanding of transcriptional changes in immune cell-related genes associated with cancer progression, and their significance in disease prognosis, is therefore needed. NanoString-based targeted gene expressio...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844904/ https://www.ncbi.nlm.nih.gov/pubmed/36649303 http://dx.doi.org/10.1371/journal.pone.0280364 |
_version_ | 1784870763729256448 |
---|---|
author | D’Angelo, Alberto Kilili, Huseyin Chapman, Robert Generali, Daniele Tinhofer, Ingeborg Luminari, Stefano Donati, Benedetta Ciarrocchi, Alessia Giannini, Riccardo Moretto, Roberto Cremolini, Chiara Pietrantonio, Filippo Sobhani, Navid Bonazza, Debora Prins, Robert Song, Seung Geun Jeon, Yoon Kyung Pisignano, Giuseppina Cinelli, Mattia Bagby, Stefan Urrutia, Araxi O. |
author_facet | D’Angelo, Alberto Kilili, Huseyin Chapman, Robert Generali, Daniele Tinhofer, Ingeborg Luminari, Stefano Donati, Benedetta Ciarrocchi, Alessia Giannini, Riccardo Moretto, Roberto Cremolini, Chiara Pietrantonio, Filippo Sobhani, Navid Bonazza, Debora Prins, Robert Song, Seung Geun Jeon, Yoon Kyung Pisignano, Giuseppina Cinelli, Mattia Bagby, Stefan Urrutia, Araxi O. |
author_sort | D’Angelo, Alberto |
collection | PubMed |
description | The immune system plays a central role in the onset and progression of cancer. A better understanding of transcriptional changes in immune cell-related genes associated with cancer progression, and their significance in disease prognosis, is therefore needed. NanoString-based targeted gene expression profiling has advantages for deployment in a clinical setting over RNA-seq technologies. We analysed NanoString PanCancer Immune Profiling panel gene expression data encompassing 770 genes, and overall survival data, from multiple previous studies covering 10 different cancer types, including solid and blood malignancies, across 515 patients. This analysis revealed an immune gene signature comprising 39 genes that were upregulated in those patients with shorter overall survival; of these 39 genes, three (MAGEC2, SSX1 and ULBP2) were common to both solid and blood malignancies. Most of the genes identified have previously been reported as relevant in one or more cancer types. Using Cibersort, we investigated immune cell levels within individual cancer types and across groups of cancers, as well as in shorter and longer overall survival groups. Patients with shorter survival had a higher proportion of M2 macrophages and γδ T cells. Patients with longer overall survival had a higher proportion of CD8+ T cells, CD4+ T memory cells, NK cells and, unexpectedly, T regulatory cells. Using a transcriptomics platform with certain advantages for deployment in a clinical setting, our multi-cancer meta-analysis of immune gene expression and overall survival data has identified a specific transcriptional profile associated with poor overall survival. |
format | Online Article Text |
id | pubmed-9844904 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-98449042023-01-18 Immune-related pan-cancer gene expression signatures of patient survival revealed by NanoString-based analyses D’Angelo, Alberto Kilili, Huseyin Chapman, Robert Generali, Daniele Tinhofer, Ingeborg Luminari, Stefano Donati, Benedetta Ciarrocchi, Alessia Giannini, Riccardo Moretto, Roberto Cremolini, Chiara Pietrantonio, Filippo Sobhani, Navid Bonazza, Debora Prins, Robert Song, Seung Geun Jeon, Yoon Kyung Pisignano, Giuseppina Cinelli, Mattia Bagby, Stefan Urrutia, Araxi O. PLoS One Research Article The immune system plays a central role in the onset and progression of cancer. A better understanding of transcriptional changes in immune cell-related genes associated with cancer progression, and their significance in disease prognosis, is therefore needed. NanoString-based targeted gene expression profiling has advantages for deployment in a clinical setting over RNA-seq technologies. We analysed NanoString PanCancer Immune Profiling panel gene expression data encompassing 770 genes, and overall survival data, from multiple previous studies covering 10 different cancer types, including solid and blood malignancies, across 515 patients. This analysis revealed an immune gene signature comprising 39 genes that were upregulated in those patients with shorter overall survival; of these 39 genes, three (MAGEC2, SSX1 and ULBP2) were common to both solid and blood malignancies. Most of the genes identified have previously been reported as relevant in one or more cancer types. Using Cibersort, we investigated immune cell levels within individual cancer types and across groups of cancers, as well as in shorter and longer overall survival groups. Patients with shorter survival had a higher proportion of M2 macrophages and γδ T cells. Patients with longer overall survival had a higher proportion of CD8+ T cells, CD4+ T memory cells, NK cells and, unexpectedly, T regulatory cells. Using a transcriptomics platform with certain advantages for deployment in a clinical setting, our multi-cancer meta-analysis of immune gene expression and overall survival data has identified a specific transcriptional profile associated with poor overall survival. Public Library of Science 2023-01-17 /pmc/articles/PMC9844904/ /pubmed/36649303 http://dx.doi.org/10.1371/journal.pone.0280364 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article D’Angelo, Alberto Kilili, Huseyin Chapman, Robert Generali, Daniele Tinhofer, Ingeborg Luminari, Stefano Donati, Benedetta Ciarrocchi, Alessia Giannini, Riccardo Moretto, Roberto Cremolini, Chiara Pietrantonio, Filippo Sobhani, Navid Bonazza, Debora Prins, Robert Song, Seung Geun Jeon, Yoon Kyung Pisignano, Giuseppina Cinelli, Mattia Bagby, Stefan Urrutia, Araxi O. Immune-related pan-cancer gene expression signatures of patient survival revealed by NanoString-based analyses |
title | Immune-related pan-cancer gene expression signatures of patient survival revealed by NanoString-based analyses |
title_full | Immune-related pan-cancer gene expression signatures of patient survival revealed by NanoString-based analyses |
title_fullStr | Immune-related pan-cancer gene expression signatures of patient survival revealed by NanoString-based analyses |
title_full_unstemmed | Immune-related pan-cancer gene expression signatures of patient survival revealed by NanoString-based analyses |
title_short | Immune-related pan-cancer gene expression signatures of patient survival revealed by NanoString-based analyses |
title_sort | immune-related pan-cancer gene expression signatures of patient survival revealed by nanostring-based analyses |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844904/ https://www.ncbi.nlm.nih.gov/pubmed/36649303 http://dx.doi.org/10.1371/journal.pone.0280364 |
work_keys_str_mv | AT dangeloalberto immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT kililihuseyin immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT chapmanrobert immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT generalidaniele immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT tinhoferingeborg immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT luminaristefano immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT donatibenedetta immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT ciarrocchialessia immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT gianniniriccardo immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT morettoroberto immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT cremolinichiara immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT pietrantoniofilippo immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT sobhaninavid immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT bonazzadebora immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT prinsrobert immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT songseunggeun immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT jeonyoonkyung immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT pisignanogiuseppina immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT cinellimattia immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT bagbystefan immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses AT urrutiaaraxio immunerelatedpancancergeneexpressionsignaturesofpatientsurvivalrevealedbynanostringbasedanalyses |