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Published in: Cancer Cell International 1/2021

Open Access 01-12-2021 | Acute Myeloid Leukemia | Primary Research

Distinct associations of NEDD4L expression with genetic abnormalities and prognosis in acute myeloid leukemia

Authors: Ming-qiang Chu, Liu-chao Zhang, Qian Yuan, Ting-juan Zhang, Jing-dong Zhou

Published in: Cancer Cell International | Issue 1/2021

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Abstract

Background

There is mounting evidence that demonstrated the association of aberrant NEDD4L expression with diverse human cancers. However, the expression pattern and clinical implication of NEDD4L in acute myeloid leukemia (AML) remains poorly defined.

Methods

We systemically determined NEDD4L expression with its clinical significance in AML by both public data and our research cohort. Moreover, biological functions of NEDD4L in leukemogenesis were further tested by in vitro experiments.

Results

By the public data, we identified that low NEDD4L expression was correlated with AML among diverse human cancers. Expression of NEDD4L was remarkably decreased in AML compared with controls, and was confirmed by our research cohort. Clinically, low expression of NEDD4L was correlated with greatly lower age, higher white blood cells, and higher bone marrow/peripheral blood blasts. Moreover, NEDD4L underexpression was positively correlated with normal karyotype, FLT3 and NPM1 mutations, but negatively associated with complex karyotype and TP53 mutations. Importantly, the association between NEDD4L expression and survival was also discovered in cytogenetically normal AML patients. Finally, a number of 1024 RNAs and 91 microRNAs were identified to be linked to NEDD4L expression in AML. Among the negatively correlated microRNAs, miR-10a was also discovered as a microRNA that may directly target NEDD4L. Further functional studies revealed that NEDD4L exhibited anti-proliferative and pro-apoptotic effects in leukemic cell line K562.

Conclusions

Our findings indicated that NEDD4L underexpression, as a frequent event in AML, was associated with genetic abnormalities and prognosis in AML. Moreover, NEDD4L expression may be involved in leukemogenesis with potential therapeutic target value.
Appendix
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Literature
1.
go back to reference Döhner H, Weisdorf DJ, Bloomfield CD. Acute myeloid leukemia. N Engl J Med. 2015;373(12):1136–52.PubMed Döhner H, Weisdorf DJ, Bloomfield CD. Acute myeloid leukemia. N Engl J Med. 2015;373(12):1136–52.PubMed
2.
go back to reference Charrot S, Armes H, Rio-Machin A, Fitzgibbon J. AML through the prism of molecular genetics. Br J Haematol. 2020;188(1):49–62.PubMed Charrot S, Armes H, Rio-Machin A, Fitzgibbon J. AML through the prism of molecular genetics. Br J Haematol. 2020;188(1):49–62.PubMed
3.
go back to reference Döhner H, Estey E, Grimwade D, Amadori S, Appelbaum FR, Büchner T, Dombret H, Ebert BL, Fenaux P, Larson RA, Levine RL, Lo-Coco F, Naoe T, Niederwieser D, Ossenkoppele GJ, Sanz M, Sierra J, Tallman MS, Tien HF, Wei AH, Löwenberg B, Bloomfield CD. Diagnosis and management of AML in adults: 2017 ELN recommendations from an international expert panel. Blood. 2017;129(4):424–47.PubMedPubMedCentral Döhner H, Estey E, Grimwade D, Amadori S, Appelbaum FR, Büchner T, Dombret H, Ebert BL, Fenaux P, Larson RA, Levine RL, Lo-Coco F, Naoe T, Niederwieser D, Ossenkoppele GJ, Sanz M, Sierra J, Tallman MS, Tien HF, Wei AH, Löwenberg B, Bloomfield CD. Diagnosis and management of AML in adults: 2017 ELN recommendations from an international expert panel. Blood. 2017;129(4):424–47.PubMedPubMedCentral
4.
go back to reference Wouters BJ, Löwenberg B, Delwel R. A decade of genome-wide gene expression profiling in acute myeloid leukemia: flashback and prospects. Blood. 2009;113(2):291–8.PubMedPubMedCentral Wouters BJ, Löwenberg B, Delwel R. A decade of genome-wide gene expression profiling in acute myeloid leukemia: flashback and prospects. Blood. 2009;113(2):291–8.PubMedPubMedCentral
5.
go back to reference Damm F, Heuser M, Morgan M, Wagner K, Görlich K, Grosshennig A, Hamwi I, Thol F, Surdziel E, Fiedler W, Lübbert M, Kanz L, Reuter C, Heil G, Delwel R, Löwenberg B, Valk PJ, Krauter J, Ganser A. Integrative prognostic risk score in acute myeloid leukemia with normal karyotype. Blood. 2011;117(17):4561–8.PubMed Damm F, Heuser M, Morgan M, Wagner K, Görlich K, Grosshennig A, Hamwi I, Thol F, Surdziel E, Fiedler W, Lübbert M, Kanz L, Reuter C, Heil G, Delwel R, Löwenberg B, Valk PJ, Krauter J, Ganser A. Integrative prognostic risk score in acute myeloid leukemia with normal karyotype. Blood. 2011;117(17):4561–8.PubMed
6.
go back to reference Wang ZW, Hu X, Ye M, Lin M, Chu M, Shen X. NEDD4 E3 ligase: functions and mechanism in human cancer. Semin Cancer Biol. 2020;67(Pt 2):92–101.PubMed Wang ZW, Hu X, Ye M, Lin M, Chu M, Shen X. NEDD4 E3 ligase: functions and mechanism in human cancer. Semin Cancer Biol. 2020;67(Pt 2):92–101.PubMed
7.
go back to reference Manning JA, Kumar S. Physiological functions of Nedd4-2: lessons from knockout mouse models. Trends Biochem Sci. 2018;43(8):635–47.PubMed Manning JA, Kumar S. Physiological functions of Nedd4-2: lessons from knockout mouse models. Trends Biochem Sci. 2018;43(8):635–47.PubMed
8.
go back to reference Goel P, Manning JA, Kumar S. NEDD4-2 (NEDD4L): the ubiquitin ligase for multiple membrane proteins. Gene. 2015;557(1):1–10.PubMed Goel P, Manning JA, Kumar S. NEDD4-2 (NEDD4L): the ubiquitin ligase for multiple membrane proteins. Gene. 2015;557(1):1–10.PubMed
9.
go back to reference Yang S, Tang D, Zhao YC, Liu H, Luo S, Stinchcombe TE, Glass C, Su L, Shen S, Christiani DC, Wang Q, Wei Q. Novel genetic variants in KIF16B and NEDD4L in the endosome-related genes are associated with nonsmall cell lung cancer survival. Int J Cancer. 2020;147(2):392–403.PubMed Yang S, Tang D, Zhao YC, Liu H, Luo S, Stinchcombe TE, Glass C, Su L, Shen S, Christiani DC, Wang Q, Wei Q. Novel genetic variants in KIF16B and NEDD4L in the endosome-related genes are associated with nonsmall cell lung cancer survival. Int J Cancer. 2020;147(2):392–403.PubMed
10.
go back to reference Wang X, Duan J, Fu W, Yin Z, Sheng J, Lei Z, Wang H. Decreased expression of NEDD4L contributes to NSCLC progression and metastasis. Biochem Biophys Res Commun. 2019;513(2):398–404.PubMed Wang X, Duan J, Fu W, Yin Z, Sheng J, Lei Z, Wang H. Decreased expression of NEDD4L contributes to NSCLC progression and metastasis. Biochem Biophys Res Commun. 2019;513(2):398–404.PubMed
11.
go back to reference Jiang X, Zhang S, Yin Z, Sheng Y, Yan Q, Sun R, Lu M, Zhang Z, Li Y. The correlation between NEDD4L and HIF-1alpha levels as a gastric cancer prognostic marker. Int J Med Sci. 2019;16(11):1517–24.PubMedPubMedCentral Jiang X, Zhang S, Yin Z, Sheng Y, Yan Q, Sun R, Lu M, Zhang Z, Li Y. The correlation between NEDD4L and HIF-1alpha levels as a gastric cancer prognostic marker. Int J Med Sci. 2019;16(11):1517–24.PubMedPubMedCentral
12.
go back to reference Zhao F, Gong X, Liu A, Lv X, Hu B, Zhang H. Downregulation of NEDD4L predicts poor prognosis, promotes tumor growth and inhibits MAPK/ERK signal pathway in hepatocellular carcinoma. Biochem Biophys Res Commun. 2018;495(1):1136–43.PubMed Zhao F, Gong X, Liu A, Lv X, Hu B, Zhang H. Downregulation of NEDD4L predicts poor prognosis, promotes tumor growth and inhibits MAPK/ERK signal pathway in hepatocellular carcinoma. Biochem Biophys Res Commun. 2018;495(1):1136–43.PubMed
13.
go back to reference Yang Q, Zhao J, Cui M, Gi S, Wang W, Han X. NEDD4L expression is decreased in ovarian epithelial cancer tissues compared to ovarian non-cancer tissue. J Obstet Gynaecol Res. 2015;41(12):1959–64.PubMed Yang Q, Zhao J, Cui M, Gi S, Wang W, Han X. NEDD4L expression is decreased in ovarian epithelial cancer tissues compared to ovarian non-cancer tissue. J Obstet Gynaecol Res. 2015;41(12):1959–64.PubMed
14.
go back to reference Sakashita H, Inoue H, Akamine S, Ishida T, Inase N, Shirao K, Mori M, Mimori K. Identification of the NEDD4L gene as a prognostic marker by integrated microarray analysis of copy number and gene expression profiling in non-small cell lung cancer. Ann Surg Oncol. 2013;20(Suppl 3):S590–8.PubMed Sakashita H, Inoue H, Akamine S, Ishida T, Inase N, Shirao K, Mori M, Mimori K. Identification of the NEDD4L gene as a prognostic marker by integrated microarray analysis of copy number and gene expression profiling in non-small cell lung cancer. Ann Surg Oncol. 2013;20(Suppl 3):S590–8.PubMed
15.
go back to reference He S, Deng J, Li G, Wang B, Cao Y, Tu Y. Down-regulation of NEDD4L is associated with the aggressive progression and worse prognosis of malignant glioma. Jpn J Clin Oncol. 2012;42(3):196–201.PubMed He S, Deng J, Li G, Wang B, Cao Y, Tu Y. Down-regulation of NEDD4L is associated with the aggressive progression and worse prognosis of malignant glioma. Jpn J Clin Oncol. 2012;42(3):196–201.PubMed
16.
go back to reference Gao C, Pang L, Ren C, Ma T. Decreased expression of NEDD4L correlates with poor prognosis in gastric cancer patient. Med Oncol. 2012;29(3):1733–8.PubMed Gao C, Pang L, Ren C, Ma T. Decreased expression of NEDD4L correlates with poor prognosis in gastric cancer patient. Med Oncol. 2012;29(3):1733–8.PubMed
17.
go back to reference Barretina J, Caponigro G, Stransky N, Venkatesan K, Margolin AA, Kim S, Wilson CJ, Lehár J, Kryukov GV, Sonkin D, Reddy A, Liu M, Murray L, Berger MF, Monahan JE, Morais P, Meltzer J, Korejwa A, Jané-Valbuena J, Mapa FA, Thibault J, Bric-Furlong E, Raman P, Shipway A, Engels IH, Cheng J, Yu GK, Yu J, Aspesi P Jr, de Silva M, Jagtap K, Jones MD, Wang L, Hatton C, Palescandolo E, Gupta S, Mahan S, Sougnez C, Onofrio RC, Liefeld T, MacConaill L, Winckler W, Reich M, Li N, Mesirov JP, Gabriel SB, Getz G, Ardlie K, Chan V, Myer VE, Weber BL, Porter J, Warmuth M, Finan P, Harris JL, Meyerson M, Golub TR, Morrissey MP, Sellers WR, Schlegel R, Garraway LA. The cancer cell line encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature. 2012;483(7391):603–7.PubMedPubMedCentral Barretina J, Caponigro G, Stransky N, Venkatesan K, Margolin AA, Kim S, Wilson CJ, Lehár J, Kryukov GV, Sonkin D, Reddy A, Liu M, Murray L, Berger MF, Monahan JE, Morais P, Meltzer J, Korejwa A, Jané-Valbuena J, Mapa FA, Thibault J, Bric-Furlong E, Raman P, Shipway A, Engels IH, Cheng J, Yu GK, Yu J, Aspesi P Jr, de Silva M, Jagtap K, Jones MD, Wang L, Hatton C, Palescandolo E, Gupta S, Mahan S, Sougnez C, Onofrio RC, Liefeld T, MacConaill L, Winckler W, Reich M, Li N, Mesirov JP, Gabriel SB, Getz G, Ardlie K, Chan V, Myer VE, Weber BL, Porter J, Warmuth M, Finan P, Harris JL, Meyerson M, Golub TR, Morrissey MP, Sellers WR, Schlegel R, Garraway LA. The cancer cell line encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature. 2012;483(7391):603–7.PubMedPubMedCentral
18.
go back to reference Uhlén M, Fagerberg L, Hallström BM, Lindskog C, Oksvold P, Mardinoglu A, Sivertsson Å, Kampf C, Sjöstedt E, Asplund A, Olsson I, Edlund K, Lundberg E, Navani S, Szigyarto CA, Odeberg J, Djureinovic D, Takanen JO, Hober S, Alm T, Edqvist PH, Berling H, Tegel H, Mulder J, Rockberg J, Nilsson P, Schwenk JM, Hamsten M, von Feilitzen K, Forsberg M, Persson L, Johansson F, Zwahlen M, von Heijne G, Nielsen J, Pontén F. Proteomics. Tissue-based map of the human proteome. Science. 2015;347(6220):1260419.PubMed Uhlén M, Fagerberg L, Hallström BM, Lindskog C, Oksvold P, Mardinoglu A, Sivertsson Å, Kampf C, Sjöstedt E, Asplund A, Olsson I, Edlund K, Lundberg E, Navani S, Szigyarto CA, Odeberg J, Djureinovic D, Takanen JO, Hober S, Alm T, Edqvist PH, Berling H, Tegel H, Mulder J, Rockberg J, Nilsson P, Schwenk JM, Hamsten M, von Feilitzen K, Forsberg M, Persson L, Johansson F, Zwahlen M, von Heijne G, Nielsen J, Pontén F. Proteomics. Tissue-based map of the human proteome. Science. 2015;347(6220):1260419.PubMed
19.
go back to reference Tang Z, Li C, Kang B, Gao G, Li C, Zhang Z. GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Res. 2017;45(W1):W98–102.PubMedPubMedCentral Tang Z, Li C, Kang B, Gao G, Li C, Zhang Z. GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Res. 2017;45(W1):W98–102.PubMedPubMedCentral
20.
go back to reference Bagger FO, Kinalis S, Rapin N. BloodSpot: a database of healthy and malignant haematopoiesis updated with purified and single cell mRNA sequencing profiles. Nucleic Acids Res. 2019;47(D1):D881–5.PubMed Bagger FO, Kinalis S, Rapin N. BloodSpot: a database of healthy and malignant haematopoiesis updated with purified and single cell mRNA sequencing profiles. Nucleic Acids Res. 2019;47(D1):D881–5.PubMed
21.
go back to reference Cancer Genome Atlas Research Network, Ley TJ, Miller C, Ding L, Raphael BJ, Mungall AJ, Robertson A, Hoadley K, Triche TJ Jr, Laird PW, Baty JD, Fulton LL, Fulton R, Heath SE, Kalicki-Veizer J, Kandoth C, Klco JM, Koboldt DC, Kanchi KL, Kulkarni S, Lamprecht TL, Larson DE, Lin L, Lu C, McLellan MD, McMichael JF, Payton J, Schmidt H, Spencer DH, Tomasson MH, Wallis JW, Wartman LD, Watson MA, Welch J, Wendl MC, Ally A, Balasundaram M, Birol I, Butterfield Y, Chiu R, Chu A, Chuah E, Chun HJ, Corbett R, Dhalla N, Guin R, He A, Hirst C, Hirst M, Holt RA, Jones S, Karsan A, Lee D, Li HI, Marra MA, Mayo M, Moore RA, Mungall K, Parker J, Pleasance E, Plettner P, Schein J, Stoll D, Swanson L, Tam A, Thiessen N, Varhol R, Wye N, Zhao Y, Gabriel S, Getz G, Sougnez C, Zou L, Leiserson MD, Vandin F, Wu HT, Applebaum F, Baylin SB, Akbani R, Broom BM, Chen K, Motter TC, Nguyen K, Weinstein JN, Zhang N, Ferguson ML, Adams C, Black A, Bowen J, Gastier-Foster J, Grossman T, Lichtenberg T, Wise L, Davidsen T, Demchok JA, Shaw KR, Sheth M, Sofia HJ, Yang L, Downing JR, Eley G. Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia. N Engl J Med. 2013;368(22):2059–74. Cancer Genome Atlas Research Network, Ley TJ, Miller C, Ding L, Raphael BJ, Mungall AJ, Robertson A, Hoadley K, Triche TJ Jr, Laird PW, Baty JD, Fulton LL, Fulton R, Heath SE, Kalicki-Veizer J, Kandoth C, Klco JM, Koboldt DC, Kanchi KL, Kulkarni S, Lamprecht TL, Larson DE, Lin L, Lu C, McLellan MD, McMichael JF, Payton J, Schmidt H, Spencer DH, Tomasson MH, Wallis JW, Wartman LD, Watson MA, Welch J, Wendl MC, Ally A, Balasundaram M, Birol I, Butterfield Y, Chiu R, Chu A, Chuah E, Chun HJ, Corbett R, Dhalla N, Guin R, He A, Hirst C, Hirst M, Holt RA, Jones S, Karsan A, Lee D, Li HI, Marra MA, Mayo M, Moore RA, Mungall K, Parker J, Pleasance E, Plettner P, Schein J, Stoll D, Swanson L, Tam A, Thiessen N, Varhol R, Wye N, Zhao Y, Gabriel S, Getz G, Sougnez C, Zou L, Leiserson MD, Vandin F, Wu HT, Applebaum F, Baylin SB, Akbani R, Broom BM, Chen K, Motter TC, Nguyen K, Weinstein JN, Zhang N, Ferguson ML, Adams C, Black A, Bowen J, Gastier-Foster J, Grossman T, Lichtenberg T, Wise L, Davidsen T, Demchok JA, Shaw KR, Sheth M, Sofia HJ, Yang L, Downing JR, Eley G. Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia. N Engl J Med. 2013;368(22):2059–74.
22.
go back to reference Metzeler KH, Hummel M, Bloomfield CD, Spiekermann K, Braess J, Sauerland MC, Heinecke A, Radmacher M, Marcucci G, Whitman SP, Maharry K, Paschka P, Larson RA, Berdel WE, Büchner T, Wörmann B, Mansmann U, Hiddemann W, Bohlander SK, Buske C, Cancer and Leukemia Group B; German AML Cooperative Group. An 86-probe-set gene-expression signature predicts survival in cytogenetically normal acute myeloid leukemia. Blood. 2008;112:4193–201.PubMedPubMedCentral Metzeler KH, Hummel M, Bloomfield CD, Spiekermann K, Braess J, Sauerland MC, Heinecke A, Radmacher M, Marcucci G, Whitman SP, Maharry K, Paschka P, Larson RA, Berdel WE, Büchner T, Wörmann B, Mansmann U, Hiddemann W, Bohlander SK, Buske C, Cancer and Leukemia Group B; German AML Cooperative Group. An 86-probe-set gene-expression signature predicts survival in cytogenetically normal acute myeloid leukemia. Blood. 2008;112:4193–201.PubMedPubMedCentral
23.
go back to reference Kassambara A, Rème T, Jourdan M, Fest T, Hose D, Tarte K, Klein B. GenomicScape: an easy-to-use web tool for gene expression data analysis. Application to investigate the molecular events in the differentiation of B cells into plasma cells. PLoS Comput Biol. 2015;11:e1004077.PubMedPubMedCentral Kassambara A, Rème T, Jourdan M, Fest T, Hose D, Tarte K, Klein B. GenomicScape: an easy-to-use web tool for gene expression data analysis. Application to investigate the molecular events in the differentiation of B cells into plasma cells. PLoS Comput Biol. 2015;11:e1004077.PubMedPubMedCentral
24.
go back to reference Zhang TJ, Xu ZJ, Gu Y, Wen XM, Ma JC, Zhang W, Deng ZQ, Leng JY, Qian J, Lin J, Zhou JD. Identification and validation of prognosis-related DLX5 methylation as an epigenetic driver in myeloid neoplasms. Clin Transl Med. 2020;10(2):e29.PubMedPubMedCentral Zhang TJ, Xu ZJ, Gu Y, Wen XM, Ma JC, Zhang W, Deng ZQ, Leng JY, Qian J, Lin J, Zhou JD. Identification and validation of prognosis-related DLX5 methylation as an epigenetic driver in myeloid neoplasms. Clin Transl Med. 2020;10(2):e29.PubMedPubMedCentral
25.
go back to reference Zhou JD, Zhang TJ, Xu ZJ, Deng ZQ, Gu Y, Ma JC, Wen XM, Leng JY, Lin J, Chen SN, Qian J. Genome-wide methylation sequencing identifies progression-related epigenetic drivers in myelodysplastic syndromes. Cell Death Dis. 2020;11(11):997.PubMedPubMedCentral Zhou JD, Zhang TJ, Xu ZJ, Deng ZQ, Gu Y, Ma JC, Wen XM, Leng JY, Lin J, Chen SN, Qian J. Genome-wide methylation sequencing identifies progression-related epigenetic drivers in myelodysplastic syndromes. Cell Death Dis. 2020;11(11):997.PubMedPubMedCentral
26.
go back to reference Zhang TJ, Xu ZJ, Gu Y, Ma JC, Wen XM, Zhang W, Deng ZQ, Qian J, Lin J, Zhou JD. Identification and validation of obesity-related gene LEP methylation as a prognostic indicator in patients with acute myeloid leukemia. Clin Epigenetics. 2021;13(1):16.PubMedPubMedCentral Zhang TJ, Xu ZJ, Gu Y, Ma JC, Wen XM, Zhang W, Deng ZQ, Qian J, Lin J, Zhou JD. Identification and validation of obesity-related gene LEP methylation as a prognostic indicator in patients with acute myeloid leukemia. Clin Epigenetics. 2021;13(1):16.PubMedPubMedCentral
27.
go back to reference Zhang TJ, Zhou JD, Zhang W, Lin J, Ma JC, Wen XM, Yuan Q, Li XX, Xu ZJ, Qian J. H19 overexpression promotes leukemogenesis and predicts unfavorable prognosis in acute myeloid leukemia. Clin Epigenetics. 2018;10:47.PubMedPubMedCentral Zhang TJ, Zhou JD, Zhang W, Lin J, Ma JC, Wen XM, Yuan Q, Li XX, Xu ZJ, Qian J. H19 overexpression promotes leukemogenesis and predicts unfavorable prognosis in acute myeloid leukemia. Clin Epigenetics. 2018;10:47.PubMedPubMedCentral
28.
go back to reference Dong H, Zhu L, Sun J, Zhang Y, Cui Q, Wu L, Chen S, Lu J. Pan-cancer analysis of NEDD4L and its tumor suppressor effects in clear cell renal cell carcinoma. J Cancer. 2021;12(20):6242–53.PubMedPubMedCentral Dong H, Zhu L, Sun J, Zhang Y, Cui Q, Wu L, Chen S, Lu J. Pan-cancer analysis of NEDD4L and its tumor suppressor effects in clear cell renal cell carcinoma. J Cancer. 2021;12(20):6242–53.PubMedPubMedCentral
29.
go back to reference Zhang TJ, Zhou JD, Ma JC, Deng ZQ, Qian Z, Yao DM, Yang J, Li XX, Lin J, Qian J. CDH1 (E-cadherin) expression independently affects clinical outcome in acute myeloid leukemia with normal cytogenetics. Clin Chem Lab Med. 2017;55(1):123–31.PubMed Zhang TJ, Zhou JD, Ma JC, Deng ZQ, Qian Z, Yao DM, Yang J, Li XX, Lin J, Qian J. CDH1 (E-cadherin) expression independently affects clinical outcome in acute myeloid leukemia with normal cytogenetics. Clin Chem Lab Med. 2017;55(1):123–31.PubMed
30.
go back to reference Chu MQ, Zhang TJ, Xu ZJ, Gu Y, Ma JC, Zhang W, Wen XM, Lin J, Qian J, Zhou JD. EZH2 dysregulation: Potential biomarkers predicting prognosis and guiding treatment choice in acute myeloid leukaemia. J Cell Mol Med. 2020;24(2):1640–9.PubMed Chu MQ, Zhang TJ, Xu ZJ, Gu Y, Ma JC, Zhang W, Wen XM, Lin J, Qian J, Zhou JD. EZH2 dysregulation: Potential biomarkers predicting prognosis and guiding treatment choice in acute myeloid leukaemia. J Cell Mol Med. 2020;24(2):1640–9.PubMed
31.
go back to reference Wang Z, Hong Z, Gao F, Feng W. Upregulation of microRNA-375 is associated with poor prognosis in pediatric acute myeloid leukemia. Mol Cell Biochem. 2013;383(1–2):59–65.PubMed Wang Z, Hong Z, Gao F, Feng W. Upregulation of microRNA-375 is associated with poor prognosis in pediatric acute myeloid leukemia. Mol Cell Biochem. 2013;383(1–2):59–65.PubMed
32.
go back to reference Bryant A, Palma CA, Jayaswal V, Yang YW, Lutherborrow M, Ma DD. miR-10a is aberrantly overexpressed in Nucleophosmin1 mutated acute myeloid leukaemia and its suppression induces cell death. Mol Cancer. 2012;11:8.PubMedPubMedCentral Bryant A, Palma CA, Jayaswal V, Yang YW, Lutherborrow M, Ma DD. miR-10a is aberrantly overexpressed in Nucleophosmin1 mutated acute myeloid leukaemia and its suppression induces cell death. Mol Cancer. 2012;11:8.PubMedPubMedCentral
34.
go back to reference Zhang TJ, Guo H, Zhou JD, Li XX, Zhang W, Ma JC, Wen XM, Yao XY, Lin J, Qian J. Bone marrow miR-10a overexpression is associated with genetic events but not affects clinical outcome in acute myeloid leukemia. Pathol Res Pract. 2018;214(1):169–73.PubMed Zhang TJ, Guo H, Zhou JD, Li XX, Zhang W, Ma JC, Wen XM, Yao XY, Lin J, Qian J. Bone marrow miR-10a overexpression is associated with genetic events but not affects clinical outcome in acute myeloid leukemia. Pathol Res Pract. 2018;214(1):169–73.PubMed
35.
go back to reference Sun Y, Wang H, Luo C. MiR-100 regulates cell viability and apoptosis by targeting ATM in pediatric acute myeloid leukemia. Biochem Biophys Res Commun. 2020;522(4):855–61.PubMed Sun Y, Wang H, Luo C. MiR-100 regulates cell viability and apoptosis by targeting ATM in pediatric acute myeloid leukemia. Biochem Biophys Res Commun. 2020;522(4):855–61.PubMed
36.
go back to reference Bai J, Guo A, Hong Z, Kuai W. Upregulation of microRNA-100 predicts poor prognosis in patients with pediatric acute myeloid leukemia. Onco Targets Ther. 2012;5:213–9.PubMedPubMedCentral Bai J, Guo A, Hong Z, Kuai W. Upregulation of microRNA-100 predicts poor prognosis in patients with pediatric acute myeloid leukemia. Onco Targets Ther. 2012;5:213–9.PubMedPubMedCentral
37.
go back to reference Hua S, Feng T, Yin L, Wang Q, Shao X. NEDD9 overexpression: prognostic and guidance value in acute myeloid leukaemia. J Cell Mol Med. 2021;25(19):9331–9.PubMedPubMedCentral Hua S, Feng T, Yin L, Wang Q, Shao X. NEDD9 overexpression: prognostic and guidance value in acute myeloid leukaemia. J Cell Mol Med. 2021;25(19):9331–9.PubMedPubMedCentral
38.
go back to reference Zeng Y, Feng Z, Liao Y, Yang M, Bai Y, He Z. Diminution of microRNA-98 alleviates renal fibrosis in diabetic nephropathy by elevating NEDD4L and inactivating TGF-β/Smad2/3 pathway. Cell Cycle. 2020;19(24):3406–18.PubMedPubMedCentral Zeng Y, Feng Z, Liao Y, Yang M, Bai Y, He Z. Diminution of microRNA-98 alleviates renal fibrosis in diabetic nephropathy by elevating NEDD4L and inactivating TGF-β/Smad2/3 pathway. Cell Cycle. 2020;19(24):3406–18.PubMedPubMedCentral
39.
go back to reference Tian RH, Guo KM, Han GH, Bai Y. Downregulation of MicroRNA-494 inhibits the TGF-beta1/Smads signaling pathway and prevents the development of hypospadias through upregulating NEDD4L. Exp Mol Pathol. 2020;115:104452.PubMed Tian RH, Guo KM, Han GH, Bai Y. Downregulation of MicroRNA-494 inhibits the TGF-beta1/Smads signaling pathway and prevents the development of hypospadias through upregulating NEDD4L. Exp Mol Pathol. 2020;115:104452.PubMed
40.
go back to reference Chen KC, Chen PH, Ho KH, Shih CM, Chou CM, Cheng CH, Lee CC. IGF-1-enhanced miR-513a-5p signaling desensitizes glioma cells to temozolomide by targeting the NEDD4L-inhibited Wnt/beta-catenin pathway. PLoS ONE. 2019;14(12):e0225913.PubMedPubMedCentral Chen KC, Chen PH, Ho KH, Shih CM, Chou CM, Cheng CH, Lee CC. IGF-1-enhanced miR-513a-5p signaling desensitizes glioma cells to temozolomide by targeting the NEDD4L-inhibited Wnt/beta-catenin pathway. PLoS ONE. 2019;14(12):e0225913.PubMedPubMedCentral
41.
go back to reference Guarnieri AL, Towers CG, Drasin DJ, Oliphant MUJ, Andrysik Z, Hotz TJ, Vartuli RL, Linklater ES, Pandey A, Khanal S, Espinosa JM, Ford HL. The miR-106b-25 cluster mediates breast tumor initiation through activation of NOTCH1 via direct repression of NEDD4L. Oncogene. 2018;37(28):3879–93.PubMedPubMedCentral Guarnieri AL, Towers CG, Drasin DJ, Oliphant MUJ, Andrysik Z, Hotz TJ, Vartuli RL, Linklater ES, Pandey A, Khanal S, Espinosa JM, Ford HL. The miR-106b-25 cluster mediates breast tumor initiation through activation of NOTCH1 via direct repression of NEDD4L. Oncogene. 2018;37(28):3879–93.PubMedPubMedCentral
42.
go back to reference Zhu JY, Heidersbach A, Kathiriya IS, Garay BI, Ivey KN, Srivastava D, Han Z, King IN. The E3 ubiquitin ligase Nedd4/NEDD4L is directly regulated by microRNA 1. Development. 2017;144(5):866–75.PubMedPubMedCentral Zhu JY, Heidersbach A, Kathiriya IS, Garay BI, Ivey KN, Srivastava D, Han Z, King IN. The E3 ubiquitin ligase Nedd4/NEDD4L is directly regulated by microRNA 1. Development. 2017;144(5):866–75.PubMedPubMedCentral
Metadata
Title
Distinct associations of NEDD4L expression with genetic abnormalities and prognosis in acute myeloid leukemia
Authors
Ming-qiang Chu
Liu-chao Zhang
Qian Yuan
Ting-juan Zhang
Jing-dong Zhou
Publication date
01-12-2021
Publisher
BioMed Central
Published in
Cancer Cell International / Issue 1/2021
Electronic ISSN: 1475-2867
DOI
https://doi.org/10.1186/s12935-021-02327-7

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