Abstract
Background
Our work aimed to identify the key differentially expressed circular RNAs (circRNAs)
(DECs) in non-small cell lung cancer (NSCLC).
Materials and Methods
An integrated analysis based on public NSCLC datasets obtained from Gene Expression
Omnibus was performed. DECs in NSCLC were subsequently identified. Bioinformatics
analyses were utilized for describing the predictable functions of DECs including
circRNA-miRNA network construction and pathway enrichment. The diagnostic value of
candidate DECs among NSCLC and healthy individuals were preliminarily evaluated in
GSE101586, GSEE101684, GSE112214 datasets.
Results
A total of 43 up-regulated and 78 down-regulated DECs in NSCLC were identified. The
mTOR signaling pathway, ErbB signaling pathway and cell cycle were significantly enriched
from the originated genes of DECs in NSCLC. In the circRNA-miRNA network, hsa-circ-0002702,
hsa-circ-0049271, hsa-circ-0009150 and hsa-circ-0053958 had high connectivity with
miRNAs, which respectively interacted with 122, 42, 41, and 39 miRNAs. hsa_circ_0003028,
hsa_circ_0015278, hsa_circ_0043256, hsa_circ_0049657 and hsa_circ_0074930 could distinguish
NSCLC patients from healthy individuals in GSE101586, GSEE101684, GSE112214 datasets.
Conclusions
DECs including hsa_circ_0003028, hsa_circ_0015278, hsa_circ_0043256, hsa_circ_0049657
and hsa_circ_0074930 had diagnostic value in NSCLC. These DECs might play key roles
in NSCLC pathogenesis through the mTOR signaling pathway, ErbB signaling pathway and
cell cycle.
Key Indexing Terms
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Article info
Publication history
Published online: August 10, 2020
Accepted:
August 7,
2020
Received:
February 15,
2020
Identification
Copyright
© 2020 Southern Society for Clinical Investigation. Published by Elsevier Inc. All rights reserved.
