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Single-cell RNA sequencing of lung adenocarcinoma reveals heterogeneity of immune response–related genes
Ke-Yue Ma, Alexandra A. Schonnesen, Amy Brock, Carla Van Den Berg, S. Gail Eckhardt, Zhihua Liu, Ning Jiang
Ke-Yue Ma, Alexandra A. Schonnesen, Amy Brock, Carla Van Den Berg, S. Gail Eckhardt, Zhihua Liu, Ning Jiang
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Research Article Immunology Oncology

Single-cell RNA sequencing of lung adenocarcinoma reveals heterogeneity of immune response–related genes

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Abstract

Immunotherapy has emerged as a promising approach to treat cancer. However, partial responses across multiple clinical trials support the significance of characterizing intertumor and intratumor heterogeneity to achieve better clinical results and as potential tools in selecting patients for different types of cancer immunotherapies. Yet, the type of heterogeneity that informs clinical outcome and patient selection has not been fully explored. In particular, the lack of characterization of immune response–related genes in cancer cells hinders the further development of metrics to select and optimize immunotherapy. Therefore, we analyzed single-cell RNA-Seq data from lung adenocarcinoma patients and cell lines to characterize the intratumor heterogeneity of immune response–related genes and demonstrated their potential impact on the efficacy of immunotherapy. We discovered that IFN-γ signaling pathway genes are heterogeneously expressed and coregulated with other genes in single cancer cells, including MHC class II (MHCII) genes. The downregulation of genes in IFN-γ signaling pathways in cell lines corresponds to an acquired resistance phenotype. Moreover, analysis of 2 groups of tumor-restricted antigens, namely neoantigens and cancer testis antigens, revealed heterogeneity in their expression in single cells. These analyses provide a rationale for applying multiantigen combinatorial therapies to prevent tumor escape and establish a basis for future development of prognostic metrics based on intratumor heterogeneity.

Authors

Ke-Yue Ma, Alexandra A. Schonnesen, Amy Brock, Carla Van Den Berg, S. Gail Eckhardt, Zhihua Liu, Ning Jiang

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Figure 1

Cell cycle genes and MHCII genes are potential prognostic predictors of LUAD.

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Cell cycle genes and MHCII genes are potential prognostic predictors of ...
(A) Gene set analysis of TCGA LUAD data to determine the significance of curated canonical pathways with respect to overall patient survival. Each dot represents the individual gene score within the corresponding pathway, and each red line is the score for the gene set calculated from R package GSA. (B) Kaplan-Meier plot showing the 5-year overall survival with respect to HLA-DRA and HLA-DMB expressions for patients in TCGA LUAD cohorts. Log-rank test was performed to determine significance. (C) Heatmap of the relative expression of MHC genes in tumor tissues compared with matched normal tissues for TCGA LUAD data.

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