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- W4362525013 abstract "<div>Abstract<p>Natural killer (NK) cell activity is essential for initiating antitumor responses and may be linked to immunotherapy success. NK cells and other innate immune components could be exploitable for cancer treatment, which drives the need for tools and methods that identify therapeutic avenues. Here, we extend our gene-set scoring method <i>singscore</i> to investigate NK cell infiltration by applying RNA-seq analysis to samples from bulk tumors. Computational methods have been developed for the deconvolution of immune cell types within solid tumors. We have taken the NK cell gene signatures from several such tools, then curated the gene list using a comparative analysis of tumors and immune cell types. Using a gene-set scoring method to investigate RNA-seq data from The Cancer Genome Atlas (TCGA), we show that patients with metastatic cutaneous melanoma have an improved survival rate if their tumor shows evidence of NK cell infiltration. Furthermore, these survival effects are enhanced in tumors that show higher expression of genes that encode NK cell stimuli such as the cytokine <i>IL15</i>. Using this signature, we then examine transcriptomic data to identify tumor and stromal components that may influence the penetrance of NK cells into solid tumors. Our results provide evidence that NK cells play a role in the regulation of human tumors and highlight potential survival effects associated with increased NK cell activity. Our computational analysis identifies putative gene targets that may be of therapeutic value for boosting NK cell antitumor immunity.</p></div>" @default.
- W4362525013 created "2023-04-06" @default.
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- W4362525013 date "2023-04-04" @default.
- W4362525013 modified "2023-10-18" @default.
- W4362525013 title "Data from A Gene Signature Predicting Natural Killer Cell Infiltration and Improved Survival in Melanoma Patients" @default.
- W4362525013 doi "https://doi.org/10.1158/2326-6066.c.6549990" @default.
- W4362525013 hasPublicationYear "2023" @default.
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