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Updated: Jun 5, 2025
Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis
Published on: March 30, 2019
Comprehensive Analysis of circRNA-Related mRNAs as Prognostic Factors in Non-Smoking Women with Lung Adenocarcinoma
Hao Wang1,2, Song Wei1,2, Lijun Wang3
1Department of Respiratory Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230031, People's Republic of China.
Background:
Non-smoking women with lung adenocarcinoma(NSWLA) is a significant health problem globally; the carcinogenesis and prognostic signature remain poorly understood. Circular RNAs (circRNAs) are gradually implicated in cancer formation through sponging miRNAs to regulate mRNAs.
Methods:
Tumor and paracancerous specimens from non-smoking women after lung adenocarcinoma surgery were collected for high-throughput sequencing of circRNA. miRNA and mRNA datasets were downloaded from TCGA. A circRNA-miRNA-mRNA network was built using differentially expressed circRNAs (DEcircRNAs), miRNAs (DEmiRNAs), and mRNAs (DEmRNAs). Following that, GSEA was applied to analyze the biological function of mRNAs in the ceRNA network. Utilizing the mRNAs associated with prognosis, we created an original prognostic risk score model. The expression of DEmRNA in the ceRNA network was verified by mRNA-seq and scRNA-seq data (GSE131907). The expression of BTBD3 and EIF4EBP2 was then verified by immunohistochemistry.
Results:
16 pairs of adenocarcinoma tissues and their corresponding para-tumor samples were collected from thoracic surgery. We created a circRNA related ceRNA in NSWLA. The hsa_circ_0002346 regulation of the cancer cell proliferation may through the hsa_circ_0002346/miR-96-5p/EIF4EBP2 axis. Hsa_circ_0072309 may affect proliferation of lung adenocarcinoma and activate Nature Killer cells by targeting miR-32-5p to regulate PCMTD1 expression. Based upon mRNA (BTBD3, CFL2, EIF4EBP2, EVI5, PCMTD1, SYDE2) related to overall survival, we also created a predictive signature. According to mRNA-seq, scRNA-seq, and immunohistochemical data, the expression of BTBD3 and EIF4EBP2 was lower in tumor samples than in normal tissues nearby.
Conclusion:
The circRNA related mRNAs played an important role in predicting the overall survival of NSWLA. The circRNA in the ceRNA network might unravel the pathogenesis and be potential novel targets for NSWLA.
