The diagnostic potential of two exosome-derived circRNAs for papillary thyroid cancer.
Circular RNAs
Diagnosis
Exosomes
Papillary thyroid carcinoma
Journal
International journal of clinical oncology
ISSN: 1437-7772
Titre abrégé: Int J Clin Oncol
Pays: Japan
ID NLM: 9616295
Informations de publication
Date de publication:
Nov 2023
Nov 2023
Historique:
received:
21
04
2023
accepted:
01
08
2023
medline:
1
11
2023
pubmed:
12
8
2023
entrez:
11
8
2023
Statut:
ppublish
Résumé
As a critical component of exosomes, circular RNAs (circRNAs) have shown great value in cancer diagnosis. This study aimed to identify circRNAs in exosomes for the diagnosis of PTC (papillary thyroid carcinoma). We selected hsa_circ_0082002 and hsa_circ_0003863 based on circRNA microarray. The levels of exosomal hsa_circ_0082002 and hsa_circ_0003863 in the sera of healthy control (n = 68), benign thyroid tumors (n = 60), and PTC without and with Hashimoto's thyroiditis (n = 164) were quantified by qPCR (quantitative polymerase chain reaction). Receiver operating characteristic analyses were conducted to evaluate the diagnostic sensitivity and specificity. Bioinformatics databases were used to predict the microRNAs and proteins binding with hsa_circ_0082002 and hsa_circ_0003863. The levels of exosomal hsa_circ_0082002 and hsa_circ_0003863 were positively associated and statistically increased in PTC compared to healthy and benign thyroid tumors. Intriguingly, higher levels of exosomal hsa_circ_0082002 and hsa_circ_0003863 were positively correlated with lymph node metastasis and vascular invasion in PTC. Further stability tests show that exosomal hsa_circ_0082002 and hsa_circ_0003863 could exist stably in sera treated by several freeze-thaw cycles at -20 °C and with a storage time shorter than 24 h at 4 °C. Furthermore, hsa_circ_0082002 and hsa_circ_0003863 were predicted to interact with microRNAs and proteins, suggesting that hsa_circ_0082002 and hsa_circ_0003863 might contribute to the occurrence and progression of PTC through interacting with microRNAs and RNA binding proteins. Collectively, we identified two PTC-related circRNAs incorporated in exosomes and uncovered their potential as tumor markers to diagnose PTC, in particular, more aggressive PTC.
Sections du résumé
BACKGROUND
BACKGROUND
As a critical component of exosomes, circular RNAs (circRNAs) have shown great value in cancer diagnosis. This study aimed to identify circRNAs in exosomes for the diagnosis of PTC (papillary thyroid carcinoma).
METHODS
METHODS
We selected hsa_circ_0082002 and hsa_circ_0003863 based on circRNA microarray. The levels of exosomal hsa_circ_0082002 and hsa_circ_0003863 in the sera of healthy control (n = 68), benign thyroid tumors (n = 60), and PTC without and with Hashimoto's thyroiditis (n = 164) were quantified by qPCR (quantitative polymerase chain reaction). Receiver operating characteristic analyses were conducted to evaluate the diagnostic sensitivity and specificity. Bioinformatics databases were used to predict the microRNAs and proteins binding with hsa_circ_0082002 and hsa_circ_0003863.
RESULTS
RESULTS
The levels of exosomal hsa_circ_0082002 and hsa_circ_0003863 were positively associated and statistically increased in PTC compared to healthy and benign thyroid tumors. Intriguingly, higher levels of exosomal hsa_circ_0082002 and hsa_circ_0003863 were positively correlated with lymph node metastasis and vascular invasion in PTC. Further stability tests show that exosomal hsa_circ_0082002 and hsa_circ_0003863 could exist stably in sera treated by several freeze-thaw cycles at -20 °C and with a storage time shorter than 24 h at 4 °C. Furthermore, hsa_circ_0082002 and hsa_circ_0003863 were predicted to interact with microRNAs and proteins, suggesting that hsa_circ_0082002 and hsa_circ_0003863 might contribute to the occurrence and progression of PTC through interacting with microRNAs and RNA binding proteins.
CONCLUSION
CONCLUSIONS
Collectively, we identified two PTC-related circRNAs incorporated in exosomes and uncovered their potential as tumor markers to diagnose PTC, in particular, more aggressive PTC.
Identifiants
pubmed: 37568034
doi: 10.1007/s10147-023-02400-3
pii: 10.1007/s10147-023-02400-3
doi:
Substances chimiques
RNA, Circular
0
MicroRNAs
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1461-1474Subventions
Organisme : Natural Science Foundation of Ningbo
ID : 2021J313
Informations de copyright
© 2023. The Author(s) under exclusive licence to Japan Society of Clinical Oncology.
Références
Ramia de Cap M (2021) Multifocal papillary thyroid carcinoma. Am J Clin Pathol 155(6):913. https://doi.org/10.1093/ajcp/aqab005
doi: 10.1093/ajcp/aqab005
pubmed: 33834193
Feldkamp J, Führer D, Luster M et al (2016) Fine needle aspiration in the investigation of thyroid nodules. Dtsch Arztebl Int 113(20):353–359. https://doi.org/10.3238/arztebl.2016.0353
doi: 10.3238/arztebl.2016.0353
pubmed: 27294815
pmcid: 4906830
Liu T, Tilak M, Awad S et al (2022) A literature review of factors associated with pain from fine needle aspiration biopsy of thyroid nodules. Endocr Pract 28(6):628–636. https://doi.org/10.1016/j.eprac.2022.03.007
doi: 10.1016/j.eprac.2022.03.007
pubmed: 35306164
Torréns JI, Burch HB (2001) Serum thyroglobulin measurement. Utility in clinical practice. Endocrinol Metab Clin North Am 30 (2):429–467. doi: https://doi.org/10.1016/s0889-8529(05)70194-8
Algeciras-Schimnich A (2018) Thyroglobulin measurement in the management of patients with differentiated thyroid cancer. Crit Rev Clin Lab Sci 55(3):205–218. https://doi.org/10.1080/10408363.2018.1450830
doi: 10.1080/10408363.2018.1450830
pubmed: 29546779
Cho JS, Kim HK (2022) Thyroglobulin Levels as a Predictor of Papillary Cancer Recurrence After Thyroid Lobectomy. Anticancer Res 42(11):5619–5627. https://doi.org/10.21873/anticanres.16070
doi: 10.21873/anticanres.16070
pubmed: 36288865
Kalluri R, LeBleu VS (2020) The biology, function, and biomedical applications of exosomes. Science. https://doi.org/10.1126/science.aau6977
doi: 10.1126/science.aau6977
pubmed: 32029601
pmcid: 7717626
Mashouri L, Yousefi H, Aref AR et al (2019) Exosomes: composition, biogenesis, and mechanisms in cancer metastasis and drug resistance. Mol Cancer 18(1):75. https://doi.org/10.1186/s12943-019-0991-5
doi: 10.1186/s12943-019-0991-5
pubmed: 30940145
pmcid: 6444571
Dai J, Su Y, Zhong S et al (2020) Exosomes: key players in cancer and potential therapeutic strategy. Signal Transduct Target Ther 5(1):145. https://doi.org/10.1038/s41392-020-00261-0
doi: 10.1038/s41392-020-00261-0
pubmed: 32759948
pmcid: 7406508
Wang Y, Liu J, Ma J et al (2019) Exosomal circRNAs: biogenesis, effect and application in human diseases. Mol Cancer 18(1):116. https://doi.org/10.1186/s12943-019-1041-z
doi: 10.1186/s12943-019-1041-z
pubmed: 31277663
pmcid: 6610963
Chen L, Wang C, Sun H et al (2021) The bioinformatics toolbox for circRNA discovery and analysis. Brief Bioinform 22(2):1706–1728. https://doi.org/10.1093/bib/bbaa001
doi: 10.1093/bib/bbaa001
pubmed: 32103237
Kristensen LS, Andersen MS, Stagsted LVW et al (2019) The biogenesis, biology and characterization of circular RNAs. Nat Rev Genet 20(11):675–691. https://doi.org/10.1038/s41576-019-0158-7
doi: 10.1038/s41576-019-0158-7
pubmed: 31395983
Chen Y, Wang J, Wang C et al (2022) Deep learning models for disease-associated circRNA prediction: a review. Brief Bioinform. https://doi.org/10.1093/bib/bbac364
doi: 10.1093/bib/bbac364
pubmed: 36411674
pmcid: 10390801
Chen L, Shan G (2021) CircRNA in cancer: fundamental mechanism and clinical potential. Cancer Lett 505:49–57. https://doi.org/10.1016/j.canlet.2021.02.004
doi: 10.1016/j.canlet.2021.02.004
pubmed: 33609610
Panda AC (2018) Circular RNAs Act as miRNA Sponges. Adv Exp Med Biol 1087:67–79. https://doi.org/10.1007/978-981-13-1426-1_6
doi: 10.1007/978-981-13-1426-1_6
pubmed: 30259358
Huang A, Zheng H, Wu Z et al (2020) Circular RNA-protein interactions: functions, mechanisms, and identification. Theranostics 10(8):3503–3517. https://doi.org/10.7150/thno.42174
doi: 10.7150/thno.42174
pubmed: 32206104
pmcid: 7069073
Zhu G, Chang X, Kang Y, Zhao X, Tang X, Ma C, Fu S (2021) CircRNA: A novel potential strategy to treat thyroid cancer (Review). Int J Mol Med. https://doi.org/10.3892/ijmm.2021.5034
Chen Y, Ma X, Lou C et al (2022) PLA2G10 incorporated in exosomes could be diagnostic and prognostic biomarker for non-small cell lung cancer. Clin Chim Acta 530:55–65. https://doi.org/10.1016/j.cca.2022.02.016
doi: 10.1016/j.cca.2022.02.016
pubmed: 35231479
Chen Y, Lou C, Ma X et al (2022) Serum exosomal hsa_circ_0069313 has a potential to diagnose more aggressive non-small cell lung cancer. Clin Biochem 102:56–64. https://doi.org/10.1016/j.clinbiochem.2022.01.005
doi: 10.1016/j.clinbiochem.2022.01.005
pubmed: 35077682
Shen X, Yang Y, Chen Y et al (2022) Evaluation of EpCAM-specific exosomal lncRNAs as potential diagnostic biomarkers for lung cancer using droplet digital PCR. J Mol Med (Berl) 100(1):87–100. https://doi.org/10.1007/s00109-021-02145-4
doi: 10.1007/s00109-021-02145-4
pubmed: 34651202
Jiang B, Zhang J, Sun X et al (2022) Circulating exosomal hsa_circRNA_0039480 is highly expressed in gestational diabetes mellitus and may be served as a biomarker for early diagnosis of GDM. J Transl Med 20(1):5. https://doi.org/10.1186/s12967-021-03195-5
doi: 10.1186/s12967-021-03195-5
pubmed: 34980149
pmcid: 8722188
Zhi F, Ding Y, Wang R et al (2021) Exosomal hsa_circ_0006859 is a potential biomarker for postmenopausal osteoporosis and enhances adipogenic versus osteogenic differentiation in human bone marrow mesenchymal stem cells by sponging miR-431-5p. Stem Cell Res Ther 12(1):157. https://doi.org/10.1186/s13287-021-02214-y
doi: 10.1186/s13287-021-02214-y
pubmed: 33648601
pmcid: 7923524
Yu D, Li Y, Wang M et al (2022) Exosomes as a new frontier of cancer liquid biopsy. Mol Cancer 21(1):56. https://doi.org/10.1186/s12943-022-01509-9
doi: 10.1186/s12943-022-01509-9
pubmed: 35180868
pmcid: 8855550
Yang L, Chen Y, Liu N et al (2022) CircMET promotes tumor proliferation by enhancing CDKN2A mRNA decay and upregulating SMAD3. Mol Cancer 21(1):23. https://doi.org/10.1186/s12943-022-01497-w
doi: 10.1186/s12943-022-01497-w
pubmed: 35042525
pmcid: 8764797
Huang XY, Zhang PF, Wei CY et al (2020) Circular RNA circMET drives immunosuppression and anti-PD1 therapy resistance in hepatocellular carcinoma via the miR-30-5p/snail/DPP4 axis. Mol Cancer 19(1):92. https://doi.org/10.1186/s12943-020-01213-6
doi: 10.1186/s12943-020-01213-6
pubmed: 32430013
pmcid: 7236145
Yao MD, Jiang Q, Ma Y et al (2022) Targeting circular RNA-MET for anti-angiogenesis treatment via inhibiting endothelial tip cell specialization. Mol Ther 30(3):1252–1264. https://doi.org/10.1016/j.ymthe.2022.01.012
doi: 10.1016/j.ymthe.2022.01.012
pubmed: 34999209
pmcid: 8899597
Liu J, Dai Z, Li M et al (2022) Circular RNA circMET contributes to tamoxifen resistance of breast cancer cells by targeting miR-204/AHR signaling. Biochem Biophys Res Commun 627:200–206. https://doi.org/10.1016/j.bbrc.2022.07.097
doi: 10.1016/j.bbrc.2022.07.097
pubmed: 36049358
Pei X, Chen SW, Long X et al (2020) circMET promotes NSCLC cell proliferation, metastasis, and immune evasion by regulating the miR-145-5p/CXCL3 axis. Aging (Albany NY) 12(13):13038–13058. https://doi.org/10.18632/aging.103392
doi: 10.18632/aging.103392
pubmed: 32614785
Liu Y, Chen L, Liu T et al (2022) Genome-wide circular RNA (circRNA) and mRNA profiling identify a circMET-miR-410-3p regulatory motif for cell growth in colorectal cancer. Genomics 114(1):351–360. https://doi.org/10.1016/j.ygeno.2021.11.038
doi: 10.1016/j.ygeno.2021.11.038
pubmed: 34929287