Literature DB >> 22058117

Allelic methylation levels of the noncoding VTRNA2-1 located on chromosome 5q31.1 predict outcome in AML.

Marianne Bach Treppendahl1, Xiangning Qiu, Alexandra Søgaard, Xiaojing Yang, Cecilie Nandrup-Bus, Christoffer Hother, Mette Klarskov Andersen, Lars Kjeldsen, Lars Möllgård, Lars Möllgaard, Eva Hellström-Lindberg, Johan Jendholm, Bo T Porse, Peter A Jones, Gangning Liang, Kirsten Grønbæk.   

Abstract

Deletions of chromosome 5q are associated with poor outcomes in acute myeloid leukemia (AML) suggesting the presence of tumor suppressor(s) at the locus. However, definitive identification of putative tumor suppressor genes remains controversial. Here we show that a 106-nucleotide noncoding RNA vault RNA2-1 (vtRNA2-1), previously misannotated as miR886, could potentially play a role in the biology and prognosis of AML. vtRNA2-1 is transcribed by polymerase III and is monoallelically methylated in 75% of healthy individuals whereas the remaining 25% of the population have biallelic hypomethylation. AML patients without methylation of VTRNA2-1 have a considerably better outcome than those with monoallelic or biallelic methylation (n = 101, P = .001). We show that methylation is inversely correlated with vtRNA2-1 expression, and that 5-azanucleosides induce vtRNA2-1 and down-regulate the phosphorylated RNA-dependent protein kinase (pPKR), whose activity has been shown to be modulated by vtRNA2-1. Because pPKR promotes cell survival in AML, the data are consistent with vtRNA2-1 being a tumor suppressor in AML. This is the first study to show that vtRNA2-1 might play a significant role in AML, that it is either mono- or biallelically expressed in the blood cells of healthy individuals, and that its methylation state predicts outcome in AML.

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Year:  2011        PMID: 22058117      PMCID: PMC3251229          DOI: 10.1182/blood-2011-06-362541

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  49 in total

1.  MicroRNA genes are transcribed by RNA polymerase II.

Authors:  Yoontae Lee; Minju Kim; Jinju Han; Kyu-Hyun Yeom; Sanghyuk Lee; Sung Hee Baek; V Narry Kim
Journal:  EMBO J       Date:  2004-09-16       Impact factor: 11.598

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3.  Allele-specific methylation of the human c-Ha-ras-1 gene.

Authors:  L A Chandler; H Ghazi; P A Jones; P Boukamp; N E Fusenig
Journal:  Cell       Date:  1987-08-28       Impact factor: 41.582

4.  RIL, a LIM gene on 5q31, is silenced by methylation in cancer and sensitizes cancer cells to apoptosis.

Authors:  Yanis A Boumber; Yutaka Kondo; Xuqi Chen; Lanlan Shen; Vazganush Gharibyan; Kazuo Konishi; Elihu Estey; Hagop Kantarjian; Guillermo Garcia-Manero; Jean-Pierre J Issa
Journal:  Cancer Res       Date:  2007-03-01       Impact factor: 12.701

5.  Chromosome 5q deletion and epigenetic suppression of the gene encoding alpha-catenin (CTNNA1) in myeloid cell transformation.

Authors:  Ting Xi Liu; Michael W Becker; Jaroslav Jelinek; Wen-Shu Wu; Min Deng; Natallia Mikhalkevich; Karl Hsu; Clara D Bloomfield; Richard M Stone; Daniel J DeAngelo; Ilene A Galinsky; Jean-Pierre Issa; Michael F Clarke; A Thomas Look
Journal:  Nat Med       Date:  2006-12-10       Impact factor: 53.440

6.  Lenalidomide inhibits the malignant clone and up-regulates the SPARC gene mapping to the commonly deleted region in 5q- syndrome patients.

Authors:  Andrea Pellagatti; Martin Jädersten; Ann-Mari Forsblom; Helen Cattan; Birger Christensson; Emma K Emanuelsson; Mats Merup; Lars Nilsson; Jan Samuelsson; Birgitta Sander; James S Wainscoat; Jacqueline Boultwood; Eva Hellström-Lindberg
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-18       Impact factor: 11.205

Review 7.  The dsRNA protein kinase PKR: virus and cell control.

Authors:  M A García; E F Meurs; M Esteban
Journal:  Biochimie       Date:  2007-03-12       Impact factor: 4.079

8.  HL-60 cell line was derived from a patient with FAB-M2 and not FAB-M3.

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Journal:  Blood       Date:  1988-01       Impact factor: 22.113

9.  The importance of diagnostic cytogenetics on outcome in AML: analysis of 1,612 patients entered into the MRC AML 10 trial. The Medical Research Council Adult and Children's Leukaemia Working Parties.

Authors:  D Grimwade; H Walker; F Oliver; K Wheatley; C Harrison; G Harrison; J Rees; I Hann; R Stevens; A Burnett; A Goldstone
Journal:  Blood       Date:  1998-10-01       Impact factor: 22.113

10.  Haploinsufficiency of EGR1, a candidate gene in the del(5q), leads to the development of myeloid disorders.

Authors:  John M Joslin; Anthony A Fernald; Thelma R Tennant; Elizabeth M Davis; Scott C Kogan; John Anastasi; John D Crispino; Michelle M Le Beau
Journal:  Blood       Date:  2007-04-09       Impact factor: 22.113

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  53 in total

Review 1.  Role of microRNAs, circRNAs and long noncoding RNAs in acute myeloid leukemia.

Authors:  Yan Liu; Zhiheng Cheng; Yifan Pang; Longzhen Cui; Tingting Qian; Liang Quan; Hongyou Zhao; Jinlong Shi; Xiaoyan Ke; Lin Fu
Journal:  J Hematol Oncol       Date:  2019-05-24       Impact factor: 17.388

2.  DNA methylation in blood from neonatal screening cards and the association with BMI and insulin sensitivity in early childhood.

Authors:  S J van Dijk; T J Peters; M Buckley; J Zhou; P A Jones; R A Gibson; M Makrides; B S Muhlhausler; P L Molloy
Journal:  Int J Obes (Lond)       Date:  2017-09-25       Impact factor: 5.095

3.  c-Myc suppresses microRNA-29b to promote tumor aggressiveness and poor outcomes in non-small cell lung cancer by targeting FHIT.

Authors:  D-W Wu; N-Y Hsu; Y-C Wang; M-C Lee; Y-W Cheng; C-Y Chen; H Lee
Journal:  Oncogene       Date:  2014-06-09       Impact factor: 9.867

4.  The nuclear and cytoplasmic activities of RNA polymerase III, and an evolving transcriptome for surveillance.

Authors:  Alan C Kessler; Richard J Maraia
Journal:  Nucleic Acids Res       Date:  2021-12-02       Impact factor: 16.971

Review 5.  The use of molecular genetics to refine prognosis in acute myeloid leukemia.

Authors:  Bhavana Bhatnagar; Ramiro Garzon
Journal:  Curr Hematol Malig Rep       Date:  2014-06       Impact factor: 3.952

6.  Cell death/proliferation roles for nc886, a non-coding RNA, in the protein kinase R pathway in cholangiocarcinoma.

Authors:  N Kunkeaw; S H Jeon; K Lee; B H Johnson; S Tanasanvimon; M Javle; C Pairojkul; Y Chamgramol; W Wongfieng; B Gong; C Leelayuwat; Y S Lee
Journal:  Oncogene       Date:  2012-08-27       Impact factor: 9.867

Review 7.  Non-coding RNAs as direct and indirect modulators of epigenetic regulation.

Authors:  Veronica J Peschansky; Claes Wahlestedt
Journal:  Epigenetics       Date:  2014-01       Impact factor: 4.528

8.  A unique methylation pattern co-segregates with neural tube defect statuses in Han Chinese pedigrees.

Authors:  Ruiping Zhang; Lirong Cao; Yizheng Wang; Yulian Fang; Linsheng Zhao; Weidong Li; Ou-Yan Shi; Chun-Quan Cai
Journal:  Neurol Sci       Date:  2017-10-04       Impact factor: 3.307

9.  Elevated methylation of the vault RNA2-1 promoter in maternal blood is associated with preterm birth.

Authors:  Young-Ah You; Eun Jin Kwon; Han-Sung Hwang; Suk-Joo Choi; Sae Kyung Choi; Young Ju Kim
Journal:  BMC Genomics       Date:  2021-07-10       Impact factor: 3.969

10.  Methylation status of nc886 epiallele reflects periconceptional conditions and is associated with glucose metabolism through nc886 RNAs.

Authors:  Saara Marttila; Leena E Viiri; Pashupati P Mishra; Brigitte Kühnel; Pamela R Matias-Garcia; Leo-Pekka Lyytikäinen; Tiina Ceder; Nina Mononen; Wolfgang Rathmann; Juliane Winkelmann; Annette Peters; Mika Kähönen; Nina Hutri-Kähönen; Markus Juonala; Katriina Aalto-Setälä; Olli Raitakari; Terho Lehtimäki; Melanie Waldenberger; Emma Raitoharju
Journal:  Clin Epigenetics       Date:  2021-07-22       Impact factor: 6.551

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