Literature DB >> 25216221

Plasma circulating-microRNA profiles are useful for assessing prognosis in patients with cytogenetically normal myelodysplastic syndromes.

Zhuang Zuo1, Sourindra Maiti2, Shimin Hu1, Sanam Loghavi1, George A Calin3, Guillermo Garcia-Manero4, Hagop M Kantarjian4, L Jeffrey Medeiros1, Laurence J N Cooper2, Carlos E Bueso-Ramos1.   

Abstract

Myelodysplastic syndromes are a heterogeneous group of clonal bone marrow hematopoietic stem cell disorders characterized by ineffective hematopoiesis and peripheral cytopenias. Chromosomal abnormalities and gene mutations have been shown to have essential roles in pathogenesis and correlate with prognosis. Molecular markers, however, are not integrated into currently used prognostic systems. The goal of this study is to identify plasma microRNAs useful for classification and risk stratification of myelodysplastic syndromes. We applied a novel, high-throughput digital quantification technology (NanoString) to profile microRNA expression in plasma samples of 72 patients with myelodysplastic syndromes and 12 healthy individuals. We correlated these results with overall survival. In patients with myelodysplastic syndromes associated with a diploid karyotype, we identified and validated a 7-microRNA signature as an independent predictor of survival with a predictive power of 75% accuracy (P=0.008), better than those of the International Prognostic Scoring Systems and the MD Anderson Prognostic Lower Risk Prognostic Model. We also identified differentially expressed plasma microRNAs in patients with myelodysplastic syndromes versus healthy individuals and between patients with myelodysplastic syndromes associated with different cytogenetic features. These results validate the utility of circulating-microRNA levels as noninvasive biomarkers that can inform the management of patients with myelodysplastic syndromes. Our findings also shed light on interactions of gene regulation pathways that are likely involved in the pathogenesis of myelodysplastic syndromes.

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Year:  2014        PMID: 25216221     DOI: 10.1038/modpathol.2014.108

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  45 in total

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Journal:  Cancer Sci       Date:  2010-07-07       Impact factor: 6.716

2.  Direct multiplexed measurement of gene expression with color-coded probe pairs.

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Journal:  Nat Biotechnol       Date:  2008-02-17       Impact factor: 54.908

3.  Clinical effect of point mutations in myelodysplastic syndromes.

Authors:  Rafael Bejar; Kristen Stevenson; Omar Abdel-Wahab; Naomi Galili; Björn Nilsson; Guillermo Garcia-Manero; Hagop Kantarjian; Azra Raza; Ross L Levine; Donna Neuberg; Benjamin L Ebert
Journal:  N Engl J Med       Date:  2011-06-30       Impact factor: 91.245

4.  FLT3 internal tandem duplication associates with adverse outcome and gene- and microRNA-expression signatures in patients 60 years of age or older with primary cytogenetically normal acute myeloid leukemia: a Cancer and Leukemia Group B study.

Authors:  Susan P Whitman; Kati Maharry; Michael D Radmacher; Heiko Becker; Krzysztof Mrózek; Dean Margeson; Kelsi B Holland; Yue-Zhong Wu; Sebastian Schwind; Klaus H Metzeler; Jing Wen; Maria R Baer; Bayard L Powell; Thomas H Carter; Jonathan E Kolitz; Meir Wetzler; Joseph O Moore; Richard M Stone; Andrew J Carroll; Richard A Larson; Michael A Caligiuri; Guido Marcucci; Clara D Bloomfield
Journal:  Blood       Date:  2010-07-23       Impact factor: 22.113

5.  Association of comorbidities with overall survival in myelodysplastic syndrome: development of a prognostic model.

Authors:  Kiran Naqvi; Guillermo Garcia-Manero; Sagar Sardesai; Jeong Oh; Carlos E Vigil; Sherry Pierce; Xiudong Lei; Jianqin Shan; Hagop M Kantarjian; Maria E Suarez-Almazor
Journal:  J Clin Oncol       Date:  2011-05-02       Impact factor: 44.544

6.  Selective release of microRNA species from normal and malignant mammary epithelial cells.

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Journal:  PLoS One       Date:  2010-10-20       Impact factor: 3.240

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Journal:  PLoS One       Date:  2012-09-28       Impact factor: 3.240

8.  Impact on cell to plasma ratio of miR-92a in patients with acute leukemia: in vivo assessment of cell to plasma ratio of miR-92a.

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9.  Overexpression of members of the microRNA-183 family is a risk factor for lung cancer: a case control study.

Authors:  Wangyu Zhu; XiaoGuang Liu; JianYing He; DongDong Chen; YanYan Hunag; Yong Kui Zhang
Journal:  BMC Cancer       Date:  2011-09-15       Impact factor: 4.430

10.  Circulating microRNAs as specific biomarkers for breast cancer detection.

Authors:  Enders K O Ng; Rufina Li; Vivian Y Shin; Hong Chuan Jin; Candy P H Leung; Edmond S K Ma; Roberta Pang; Daniel Chua; Kent-Man Chu; W L Law; Simon Y K Law; Ronnie T P Poon; Ava Kwong
Journal:  PLoS One       Date:  2013-01-03       Impact factor: 3.240

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  11 in total

1.  A plasma microRNA signature as a biomarker for acquired aplastic anemia.

Authors:  Kohei Hosokawa; Sachiko Kajigaya; Xingmin Feng; Marie J Desierto; Maria Del Pilar Fernandez Ibanez; Olga Rios; Barbara Weinstein; Phillip Scheinberg; Danielle M Townsley; Neal S Young
Journal:  Haematologica       Date:  2016-09-22       Impact factor: 9.941

Review 2.  MicroRNA, an Antisense RNA, in Sensing Myeloid Malignancies.

Authors:  Stephanie Rebecca Setijono; Hyog Young Kwon; Su Jung Song
Journal:  Front Oncol       Date:  2018-01-30       Impact factor: 6.244

3.  Identification of reference miRNAs in plasma useful for the study of oestrogen-responsive miRNAs associated with acquired Protein S deficiency in pregnancy.

Authors:  J W Tay; I James; Q W Hughes; J Y Tiao; R I Baker
Journal:  BMC Res Notes       Date:  2017-07-25

4.  Circulating MiRNAs as biomarkers of gait speed responses to aerobic exercise training in obese older adults.

Authors:  Tan Zhang; Tina E Brinkley; Keqin Liu; Xin Feng; Anthony P Marsh; Stephen Kritchevsky; Xiaobo Zhou; Barbara J Nicklas
Journal:  Aging (Albany NY)       Date:  2017-03-15       Impact factor: 5.682

5.  Defining the purity of exosomes required for diagnostic profiling of small RNA suitable for biomarker discovery.

Authors:  Camelia Quek; Shayne A Bellingham; Chol-Hee Jung; Benjamin J Scicluna; Mitch C Shambrook; Robyn A Sharples; Lesley Cheng; Andrew F Hill
Journal:  RNA Biol       Date:  2016-12-22       Impact factor: 4.652

6.  Prognostic value of circulating microRNAs in upper tract urinary carcinoma.

Authors:  Ruth Montalbo; Laura Izquierdo; Mercedes Ingelmo-Torres; Juan José Lozano; David Capitán; Antonio Alcaraz; Lourdes Mengual
Journal:  Oncotarget       Date:  2018-03-30

Review 7.  Prognostic Markers of Myelodysplastic Syndromes.

Authors:  Yuliya Andreevna Veryaskina; Sergei Evgenievich Titov; Igor Borisovich Kovynev; Tatiana Ivanovna Pospelova; Igor Fyodorovich Zhimulev
Journal:  Medicina (Kaunas)       Date:  2020-07-27       Impact factor: 2.430

8.  A miR-192-EGR1-HOXB9 regulatory network controls the angiogenic switch in cancer.

Authors:  Sherry Y Wu; Rajesha Rupaimoole; Fangrong Shen; Sunila Pradeep; Chad V Pecot; Cristina Ivan; Archana S Nagaraja; Kshipra M Gharpure; Elizabeth Pham; Hiroto Hatakeyama; Michael H McGuire; Monika Haemmerle; Viviana Vidal-Anaya; Courtney Olsen; Cristian Rodriguez-Aguayo; Justyna Filant; Ehsan A Ehsanipour; Shelley M Herbrich; Sourindra N Maiti; Li Huang; Ji Hoon Kim; Xinna Zhang; Hee-Dong Han; Guillermo N Armaiz-Pena; Elena G Seviour; Sue Tucker; Min Zhang; Da Yang; Laurence J N Cooper; Rouba Ali-Fehmi; Menashe Bar-Eli; Ju-Seog Lee; Prahlad T Ram; Keith A Baggerly; Gabriel Lopez-Berestein; Mien-Chie Hung; Anil K Sood
Journal:  Nat Commun       Date:  2016-04-04       Impact factor: 14.919

9.  MicroRNAs in Myeloid Hematological Malignancies.

Authors:  Maria Ciccone; George Adrian Calin
Journal:  Curr Genomics       Date:  2015-10       Impact factor: 2.236

10.  Circulating Small Noncoding RNAs Have Specific Expression Patterns in Plasma and Extracellular Vesicles in Myelodysplastic Syndromes and Are Predictive of Patient Outcome.

Authors:  Andrea Hrustincova; Zdenek Krejcik; David Kundrat; Katarina Szikszai; Monika Belickova; Pavla Pecherkova; Jiri Klema; Jitka Vesela; Monika Hruba; Jaroslav Cermak; Tereza Hrdinova; Matyas Krijt; Jan Valka; Anna Jonasova; Michaela Dostalova Merkerova
Journal:  Cells       Date:  2020-03-26       Impact factor: 6.600

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