Highlights
- •An immunomagnetic exosome enrichment method for disease-specific exosomal RNA analysis is developed.
- •Targeted enrichment of lung cancer associated exosomes from clinical samples.
- •Immunomagnetically captured exosomes yielded good quality RNA compatible for sequencing.
- •1383 DEGs were identified in the enriched exosomes.
- •Functional annotation revealed DEGs involvement in cancer related and exosome biosynthetic pathways.
- •Potential for disease-specific biomarker discovery.
Abstract
Exosomal cargo secreted from cancer cells has been associated with the development
and progression of the tumour. Enriching clinically relevant tissue-specific exosomes
may assist in the focused analysis of RNA molecules packaged during cancer. Therefore,
this study utilized a rapid immunomagnetic enrichment approach for targeted isolation
of lung cancer cell-derived exosomes from human plasma, followed by analysing their
cargo RNA using high throughput sequencing. The total RNA purified from these immunomagnetically
enriched exosomes provided adequate RNA quality for characterization through the Illumina
platform. Differential expression analysis was performed between patients and healthy
controls to study the altered exosomal RNA profile during lung cancer. Further, functional
enrichment analysis was performed with the list of identified differentially expressed
genes (DEGs). In total, 1383 mRNAs and 64 lncRNA were identified as differentially
expressed between patient plasma exosomes than healthy controls (fold change > 2, P <
0.05). Kyoto encyclopaedia of Genes and Genomes (KEGG) pathway analysis revealed that
the DEGs were mainly associated with cancer-related pathways, purine metabolism, calcium,
and cGMP-PKG signalling pathways. In conclusion, the presented approach successfully
demonstrated a novel strategy for focused disease-specific transcriptome analysis,
which provides a feasible option for identifying disease-specific exosome biomarkers
for detecting non-small lung cancer.
Keywords
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Article info
Publication history
Published online: March 29, 2023
Accepted:
March 28,
2023
Received in revised form:
March 12,
2023
Received:
December 2,
2022
Identification
Copyright
© 2023 Elsevier Inc. All rights reserved.
