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. 2021 May 31;8:625722. doi: 10.3389/fmolb.2021.625722

TABLE 1.

circRNAs as biomarkers in liquid biopsy for the diagnosis of NSCLC.

circRNA Expression level Intersection molecules and/or pathway Effect Sample AUC References
circ_0008928 Up miR-488/HK2 axis Regulates cisplatin sensitivity, tumor progression, and glycolysis metabolism. Serum exosomes Shi et al., 2021
circ_PIP5K1A Up miR-101/ABCC1 axis Regulates the progression of NSCLC and cisplatin sensitivity. Serum and serum exosomes Shao et al., 2021
circCDYL Down miR-185-5p/TNRC6A axis Inhibited cell viability, proliferation, and induced apoptosis. Plasma Bian et al., 2021
hsa_circ_0014235 Up miR-520a-5p/CDK4 axis Promotes cisplatin chemoresistance and deteriorates the development of NSCLC. Serum exosomes Xu et al., 2020
has_circ_0060937 Up Closely associated with bone metastasis in NSCLC. Serum Zhang J. et al., 2020
hsa_circ_0046264 Up Notably associated with the patient’s age, tumor size, TNM stage, and lymph node metastasis. Serum 0.915 Liu et al., 2020
circ-MEMO1 Up miR-101-3p/KRAS axis Promotes the progression and aerobic glycolysis of NSCLC. Serum exosomes 0.760 Ding et al., 2020
circARHGAP10 Up miR-638/FAM83F axis Promotes proliferation, migration, invasion, and glycolysis. Serum exosomes Fang et al., 2020
circPVT1 Up Associated with chemotherapy resistance. Serum Lu et al., 2020
hsa_circ_0002130 Up miR-498/GLUT1/HK2/LDHA axis Facilitates osimertinib resistance. Serum exosomes Ma et al., 2020
the panel of circ_0047921, circ_0056285, and circ_0007761 Up, Up, Down Distinguishing early-stage NSCLC cases from healthy controls, chronic obstructive pulmonary disease controls, or tuberculosis controls. Serum exosomes 0.919 Xian et al., 2020
circSATB2 Up miR-326/FSCN1 axis Promotes the proliferation, migration, and invasion of NSCLC cells. Serum exosomes Zhang N. et al., 2020
hsa_circRNA_012515 Up May be a mechanism leading to gefitinib resistance in NSCLC patients. Peripheral blood Fu et al., 2020
hsa_circ_0134501 combined with hsa_circ_0109320 Down Biomarker candidates for predicting the therapeutic effect of gefitinib in NSCLC. Plasma 0.79 Liu Y.-T. et al., 2019
circ FECR1 Up miR584-3p/ROCK1 axis Predicts survival outcomes and predicts the response to chemotherapies. Serum exosomes Li et al., 2019
F-circEA Exist Could be a novel “liquid biopsy” biomarker to monitor the EML4-ALK fusion gene in NSCLC. Plasma Tan et al., 2018
hsa_circ_0102533 Up Possesses an oncogenic property in the carcinogenesis. Whole blood 0.744 Zhou et al., 2018
circFARSA Up miR-330-5p/FASN or miR-326/FASN axis Promotes cell migration and invasion. Plasma 0.71 Hang et al., 2018
hsa_circ_0013958 Up miR-134/CCND1 axis Promotes cell proliferation and invasion and inhibits cell apoptosis. Plasma 0.794 Zhu et al., 2017

TNM, tumor-node-metastasis; AUC, area under the ROC curve (AUC).