Downregulation of hsa-miR-4328 and target gene prediction in Acute Promyelocytic Leukemia

Onda T. Lupu; Bogdan Popescu; Elena Avram; Mihaela Dragomir; Gheorghe Dănuț Cimponeriu; Ioana Mighiu; Silvia Aposteanu; Daniel Coriu

doi:10.2478/rrlm-2022-0022

.blurhash-client-img { display: none !important; }

Downregulation of hsa-miR-4328 and target gene prediction in Acute Promyelocytic Leukemia

Revista Romana de Medicina de Laborator

Volume 30 (2022): Issue 3 (July 2022)

By: Onda T. Lupu, Bogdan Popescu, Elena Avram, Mihaela Dragomir, Gheorghe Dănuț Cimponeriu, Ioana Mighiu, Silvia Aposteanu and Daniel Coriu

Open Access

|Jul 2022

1. Yilmaz M, Kantarjian H, Ravandi F. Acute promyelocytic leukemia current treatment algorithms. Blood Cancer J. 2021;11(123). DOI: 10.1038/s41408-021-00514-3824549434193815
Open DOI Search in Google Scholar Back to article
2. Cicconi L, Testi AM, Montesinos P, Rego E, Zhu HH, Takahashi H, et al. Characteristics and outcome of acute myeloid leukemia with uncommon retinoic acid receptor-alpha (RARA) fusion variants. Blood Cancer J. 2021;11(10):14-7. DOI: 10.1038/s41408-021-00561-w852053234657125
Open DOI Search in Google Scholar Back to article
3. Zhang X, Sun J, Yu W, Jin J. Current views on the genetic landscape and management of variant acute promyelocytic leukemia. Biomark Res. 2021;9(1):1-15. DOI: 10.1186/s40364-021-00284-x810113633957999
Open DOI Search in Google Scholar Back to article
4. Baljevic M, Park JH, Stein E, Douer D, Altman JK, Tallman MS. Curing All Patients with Acute Promyelocytic Leukemia: Are We There Yet? Hematol Oncol Clin North Am. 2011;25(6):1215-33. DOI: 10.1016/j. hoc.2011.10.002
Open DOI Search in Google Scholar Back to article
5. Stahl M, Tallman MS. Acute promyelocytic leukemia (APL): remaining challenges towards a cure for all. Leuk Lymphoma. 2019;60(13):3107-15. DOI: 10.1080/10428194.2019.1613540747963331842650
Open DOI Search in Google Scholar Back to article
6. Lehmann S, Ravn A, Carlsson L, Antunovic P, Deneberg S, Möllgrd L, et al. Continuing high early death rate in acute promyelocytic leukemia: A population-based report from the Swedish Adult Acute Leukemia Registry. Leukemia. 2011;25(7):1128-34. DOI: 10.1038/leu.2011.7821502956
Open DOI Search in Google Scholar Back to article
7. Mi JQ, Li JM, Shen ZX, Chen SJ, Chen Z. How to manage acute promyelocytic leukemia. Leukemia. 2012;26(8):1743-51. DOI: 10.1038/leu.2012.5722422168
Open DOI Search in Google Scholar Back to article
8. Zhang B, Pan X, Cobb GP, Anderson TA. microRNAs as oncogenes and tumor suppressors. Dev Biol. 2007;302(1):1-12. DOI: 10.1016/j.ydbio.2006.08.02816989803
Open DOI Search in Google Scholar Back to article
9. Ehtesham N, Sharifi M. From conventional therapy toward microRNA-based therapy in acute promyelocytic leukemia. Adv Biomed Res. 2016;5(1):187. DOI: 10.4103/2277-9175.190996515697528028527
Open DOI Search in Google Scholar Back to article
10. Nervi C, Fazi F, Rosa A, Fatica A, Bozzoni I. Emerging role for microRNAs in acute promyelocytic leukemia. Curr Top Microbiol Immunol. 2007;313:73-84. DOI: 10.1007/978-3-540-34594-7_517217039
Open DOI Search in Google Scholar Back to article
11. Liu Y, Cheng Z, Pang Y, Cui L, Qian T, Quan L, et al. Role of microRNAs, circRNAs and long noncoding RNAs in acute myeloid leukemia. J Hematol Oncol. 2019;12(1):1-20. DOI: 10.1186/s13045-019-0734-5653490131126316
Open DOI Search in Google Scholar Back to article
12. Ismail I, Sulong S, Hassan R. MicroRNAs as Potential Biomarkers in Acute Promyelocytic Leukaemia. New J Sci. 2014;2014:1-6. DOI: 10.1155/2014/932342
Open DOI Search in Google Scholar Back to article
13. Careccia S, Mainardi S, Pelosi A, Gurtner A, Diverio D, Riccioni R, et al. A restricted signature of miRNAs distinguishes APL blasts from normal promyelocytes. Oncogene. 2009;28(45):4034-40. DOI: 10.1038/onc.2009.25519749800
Open DOI Search in Google Scholar Back to article
14. Chen C, Ridzon DA, Broomer AJ, Zhou Z, Lee DH, Nguyen JT, et al. Real-time quantification of microRNAs by stem-loop RT-PCR. Nucleic Acids Res. 2005;33(20):1-9. DOI: 10.1093/nar/gni178129299516314309
Open DOI Search in Google Scholar Back to article
15. Lee K, Kang JH, Kim HM, Ahn J, Lim H, Lee JJ, et al. Direct electrophoretic microRNA preparation from clinical samples using nanofilter membrane. Nano Converg. 2020;7(1):1-11. DOI: 10.1186/s40580-019-0212-3695538531930443
Open DOI Search in Google Scholar Back to article
16. Schmittgen TD, Livak KJ. Analyzing real-time PCR data by the comparative CT method. Nat Protoc. 2008;3(6):1101-8. DOI: 10.1038/nprot.2008.7318546601
Open DOI Search in Google Scholar Back to article
17. Scaglioni PP, Pandolfi PP. The theory of APL revisited. Curr Top Microbiol Immunol. 2007;313:85-100. DOI: 10.1007/978-3-540-34594-7_617217040
Open DOI Search in Google Scholar Back to article
18. Lindholm EM, Ragle Aure M, Haugen MH, Kleivi Sahlberg K, Kristensen VN, Nebdal D, et al. miRNA expression changes during the course of neoadjuvant bevacizumab and chemotherapy treatment in breast cancer. Mol Oncol. 2019;13(10):2278-96. DOI: 10.1002/1878-0261.12561676378031402562
Open DOI Search in Google Scholar Back to article
19. Hummel R, Wang T, Watson DI, Michael MZ, Van Der Hoek M, Haier J, et al. Chemotherapy-induced modification of microRNA expression in esophageal cancer. Oncol Rep. 2011;26(4):1011-7. DOI: 10.3892/or.2011.138121743970
Open DOI Search in Google Scholar Back to article
20. Rooda I, Hensen K, Kaselt B, Kasvandik S, Pook M, Kurg A, et al. Target prediction and validation of microRNAs expressed from FSHR and aromatase genes in human ovarian granulosa cells. Sci Rep. 2020;10(1):1-13. DOI: 10.1038/s41598-020-59186-x701077432042028
Open DOI Search in Google Scholar Back to article
21. Riolo G, Cantara S, Marzocchi C, Ricci C. miRNA targets: From prediction tools to experimental validation. Methods Protoc. 2021;4(1):1-20. DOI: 10.3390/mps4010001783903833374478
Open DOI Search in Google Scholar Back to article
22. Svec D, Tichopad A, Novosadova V, Pfaffl MW, Kubista M. How good is a PCR efficiency estimate: Recommendations for precise and robust qPCR efficiency assessments. Biomol Detect Quantif. 2015;3:9-16. DOI: 10.1016/j.bdq.2015.01.005482221627077029
Open DOI Search in Google Scholar Back to article

Authors

Additional files

Metrics

Articles in this issue

DOI: https://doi.org/10.2478/rrlm-2022-0022 | Journal eISSN: 2284-5623 | Journal ISSN: 1841-6624

Journal RSS Feed

Language: English

Page range: 261 - 272

Submitted on: Feb 23, 2022

Accepted on: Apr 11, 2022

Published on: Jul 18, 2022

Published by: Romanian Association of Laboratory Medicine

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

miRNA,

APL,

Related subjects:

Microbiology and virology

© 2022 Onda T. Lupu, Bogdan Popescu, Elena Avram, Mihaela Dragomir, Gheorghe Dănuț Cimponeriu, Ioana Mighiu, Silvia Aposteanu, Daniel Coriu, published by Romanian Association of Laboratory Medicine
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 30 (2022): Issue 3 (July 2022)