ArticleOncotarget2019
A global immune gene expression signature for human cancers.
Article in Oncotarget, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Functional genomic imaging (FGI), a virtual tool for visualization of functional gene expression modules in heterogeneous tumor samples.Biology direct · 2025Article
- Advances in the understanding and therapeutic manipulation of cancer immune responsiveness: a Society for Immunotherapy of Cancer (SITC) review.Journal for immunotherapy of cancer · 2025Review
- Understanding the Immune System and Biospecimen-Based Response in Glioblastoma: A Practical Guide to Utilizing Signal Redundancy for Biomarker and Immune Signature Discovery.Current oncology (Toronto, Ont.) · 2024Review
- Immunotherapy in triple-negative breast cancer: Insights into tumor immune landscape and therapeutic opportunities.Frontiers in molecular biosciences · 2022Review
- A method for subtype analysis with somatic mutations.Bioinformatics (Oxford, England) · 2021Article
- The impact of cesarean delivery on infant DNA methylation.BMC pregnancy and childbirth · 2021Observational
- Gene co-expression network analysis reveals immune cell infiltration as a favorable prognostic marker in non-uterine leiomyosarcoma.Scientific reports · 2021Article
- TYK2 in Tumor Immunosurveillance.Cancers · 2020Review
- Survival correlation of immune response in human cancers.Oncotarget · 2019Article
- Clinicopathological correlation of immune response in human cancers.Oncotarget · 2019Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
backgroundExcept for a few, the immune gene signatures for most cancer types are not available. We sought to identify a global immune gene signature that is applicable to all human cancers.
resultsWe identified an immune gene signature that was intimately correlated with tumor immune characteristics of human cancers and consisted of 382 genes indicative of different immune cell types. The T helper type 1 and 2 cell activation pathway was most significantly enriched in this global immune gene set, while transcription factors, such as SPI1 and STAT family members, were the top regulators of this gene signature. Skin cutaneous melanoma with higher expression of this immune gene signature had significantly longer survival than those with lower immune gene expression. Breast cancer patients with higher immune gene signature were significantly associated with advanced-stage.
methodsWe analyzed the gene expression profiles of 10,062 tumor samples from 32 cancer types in The Cancer Genome Atlas Pan-Cancer data set. Hierarchical clustering analysis of previously-defined immune genes was performed to identify a pan-cancer immune gene signature. Pathway and upstream regulator analyses were used to identify significantly enriched signaling pathways and transcription factors. Kaplan-Meier analysis was used to evaluate the survival difference between dichotomic groups with different immune gene signatures. Correlation of immune gene signature with tumor stage was also examined.
conclusionsOur identified immune gene signature is applicable in human cancers and can be used to characterize tumor immunogenicity within and across cancer types. Clinical implication of this immune gene set warrants future investigation.
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