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Immune-related pan-cancer gene expression signatures of patient survival revealed by NanoString-based analyses.

Authors :
Alberto D'Angelo
Huseyin Kilili
Robert Chapman
Daniele Generali
Ingeborg Tinhofer
Stefano Luminari
Benedetta Donati
Alessia Ciarrocchi
Riccardo Giannini
Roberto Moretto
Chiara Cremolini
Filippo Pietrantonio
Navid Sobhani
Debora Bonazza
Robert Prins
Seung Geun Song
Yoon Kyung Jeon
Giuseppina Pisignano
Mattia Cinelli
Stefan Bagby
Araxi O Urrutia
Source :
PLoS ONE, Vol 18, Iss 1, p e0280364 (2023)
Publication Year :
2023
Publisher :
Public Library of Science (PLoS), 2023.

Abstract

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.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
18
Issue :
1
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.f938cdfc26e14aae8bf230153ce01e66
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0280364