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Gene expression profile at single cell level of CD45+ tumor-infiltrating immune cells in lung adenocarcinoma patients

ABSTRACT: Gene expression profile at single cell level of CD45+ tumor-infiltrating immune cells in lung adenocarcinoma patients

PROVIDER: PRJNA929044 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR23261384.fastq.gz	Fastqsanger.gz
	SRR23261385.fastq.gz	Fastqsanger.gz
	SRR23261386.fastq.gz	Fastqsanger.gz
	SRR23261387.fastq.gz	Fastqsanger.gz
	SRR23261388.fastq.gz	Fastqsanger.gz

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Gene expression profile at single cell level of CD45+ tumor-infiltrating immune cells in lung adenocarcinoma patients

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Project description:Background. We investigated the correlation of pancreatic ductal adenocarcinoma patient prognosis with the presence of tumor infiltrating lymphocytes and expression of 521 immune system genes. Methods. Intratumoral CD3+, CD8+, and CD20+ lymphocytes were examined by immunohistochemistry in 12 PDAC patients with different outcomes who underwent pancreaticoduodenectomy. The results were correlated with the gene expression profile using the digital multiplexed NanoString nCounter analysis system (NanoString Technologies, Seattle, WA, USA). Results. Twenty immune system genes were significantly differentially expressed in patients with a good prognosis relative to patients with a worse prognosis: TLR2 and TLR7 (Toll-like receptor superfamily); CD4, CD37, FOXP3, PTPRC (B cell and T cell signalling); IRF5, IRF8, STAT1, TFE3 (transcription factors); ANP32B, CCND3 (cell cycle); BTK (B cell development); TNF, TNFRF1A (TNF superfamily); HCK (leukocyte function); C1QA (complement system); BAX, PNMA1 (apoptosis); IKBKE (NFB pathway). Differential expression was more than twice log 2 for TLR7, TNF, C1QA, FOXP3, and CD37. Discussion. Tumor infiltrating lymphocytes were present at higher levels in samples from patients with better prognosis. Our findings indicate that tumor infiltrating lymphocyte levels and expression level of the genes listed above influence pancreatic ductal adenocarcinoma prognosis. This information could be used to improve selection of best responders to immune inhibitors.

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