Single-cell analysis reveals exosome-associated biomarkers for prognostic prediction and immunotherapy in lung adenocarcinoma.

Abstract

BACKGROUND:

Exosomes play a crucial role in tumor initiation and progression, yet the precise involvement of exosome-related genes (ERGs) in lung adenocarcinoma (LUAD) remains unclear.

METHODS:

We conducted a comprehensive investigation of ERGs within the tumor microenvironment (TME) of LUAD using single-cell RNA sequencing (scRNA-seq) analysis. Multiple scoring methods were employed to assess exosome activity (EA). Differences in cell communication were examined between high and low EA groups, utilizing the "CellChat" R package. Subsequently, we leveraged multiple bulk RNA-seq datasets to develop and validate exosome-associated signatures (EAS), enabling a multifaceted exploration of prognosis and immunotherapy outcomes between high- and low-risk groups.

RESULTS:

In the LUAD TME, epithelial cells demonstrated the highest EA, with even more elevated levels observed in advanced LUAD epithelial cells. The high-EA group exhibited enhanced intercellular interactions. EAS were established through the analysis of multiple bulk RNA-seq datasets. Patients in the high-risk group exhibited poorer overall survival (OS), reduced immune infiltration, and decreased expression of immune checkpoint genes. Finally, we experimentally validated the high expression of SEC61G in LUAD cell lines and demonstrated that knockdown of SEC61G reduced the proliferative capacity of LUAD cells using colony formation assays.

CONCLUSION:

The integration of single-cell and bulk RNA-seq analyses culminated in the development of the profound and significant EAS, which imparts invaluable insights for the clinical diagnosis and therapeutic management of LUAD patients.

• Authors: Shengrong Lin, Shengjie Zhou, Xin Han, Yang Yang, Hao Zhou, Xuejiao Chang, Yefeng Zhou, Yuqin Ding, Huihui Lin, Qing Hu
• Journal: Aging (Aging (Albany NY)) Vol. 15 Issue 20 Pg. 11508-11531 (10 24 2023) ISSN: 1945-4589 [Electronic] United States
• PMID: 37878007 (Publication Type: Journal Article)

Chemical References

• Biomarkers
• SEC61G protein, human
• SEC Translocation Channels

Topics

• Humans
• Prognosis
• Exosomes (genetics)
• Biomarkers
• Adenocarcinoma of Lung (genetics, therapy)
• Immunotherapy
• Single-Cell Analysis
• Lung Neoplasms (genetics, therapy)
• Tumor Microenvironment (genetics)
• SEC Translocation Channels