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

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

Open Access
|Jul 2022

References

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
DOI: https://doi.org/10.2478/rrlm-2022-0022 | Journal eISSN: 2284-5623 | Journal ISSN: 1841-6624
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

© 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.