Literature DB >> 31467542

Not Only Mutations Matter: Molecular Picture of Acute Myeloid Leukemia Emerging from Transcriptome Studies.

Luiza Handschuh1.   

Abstract

The last two decades of genome-scale research revealed a complex molecular picture of acute myeloid leukemia (AML). On the one hand, a number of mutations were discovered and associated with AML diagnosis and prognosis; some of them were introduced into diagnostic tests. On the other hand, transcriptome studies, which preceded AML exome and genome sequencing, remained poorly translated into clinics. Nevertheless, gene expression studies significantly contributed to the elucidation of AML pathogenesis and indicated potential therapeutic directions. The power of transcriptomic approach lies in its comprehensiveness; we can observe how genome manifests its function in a particular type of cells and follow many genes in one test. Moreover, gene expression measurement can be combined with mutation detection, as high-impact mutations are often present in transcripts. This review sums up 20 years of transcriptome research devoted to AML. Gene expression profiling (GEP) revealed signatures distinctive for selected AML subtypes and uncovered the additional within-subtype heterogeneity. The results were particularly valuable in the case of AML with normal karyotype which concerns up to 50% of AML cases. With the use of GEP, new classes of the disease were identified and prognostic predictors were proposed. A plenty of genes were detected as overexpressed in AML when compared to healthy control, including KIT, BAALC, ERG, MN1, CDX2, WT1, PRAME, and HOX genes. High expression of these genes constitutes usually an unfavorable prognostic factor. Upregulation of FLT3 and NPM1 genes, independent on their mutation status, was also reported in AML and correlated with poor outcome. However, transcriptome is not limited to the protein-coding genes; other types of RNA molecules exist in a cell and regulate genome function. It was shown that microRNA (miRNA) profiles differentiated AML groups and predicted outcome not worse than protein-coding gene profiles. For example, upregulation of miR-10a, miR-10b, and miR-196b and downregulation of miR-192 were found as typical of AML with NPM1 mutation whereas overexpression of miR-155 was associated with FLT3-internal tandem duplication (FLT3-ITD). Development of high-throughput technologies and microarray replacement by next generation sequencing (RNA-seq) enabled uncovering a real variety of leukemic cell transcriptomes, reflected by gene fusions, chimeric RNAs, alternatively spliced transcripts, miRNAs, piRNAs, long noncoding RNAs (lncRNAs), and their special type, circular RNAs. Many of them can be considered as AML biomarkers and potential therapeutic targets. The relations between particular RNA puzzles and other components of leukemic cells and their microenvironment, such as exosomes, are now under investigation. Hopefully, the results of this research will shed the light on these aspects of AML pathogenesis which are still not completely understood.

Entities:  

Year:  2019        PMID: 31467542      PMCID: PMC6699387          DOI: 10.1155/2019/7239206

Source DB:  PubMed          Journal:  J Oncol        ISSN: 1687-8450            Impact factor:   4.375


  215 in total

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Authors:  Brian D Harfe
Journal:  Curr Opin Genet Dev       Date:  2005-08       Impact factor: 5.578

3.  A minicircuitry comprised of microRNA-223 and transcription factors NFI-A and C/EBPalpha regulates human granulopoiesis.

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Journal:  Cell       Date:  2005-12-02       Impact factor: 41.582

4.  Association of a leukemic stem cell gene expression signature with clinical outcomes in acute myeloid leukemia.

Authors:  Andrew J Gentles; Sylvia K Plevritis; Ravindra Majeti; Ash A Alizadeh
Journal:  JAMA       Date:  2010-12-22       Impact factor: 56.272

5.  RUNX1 mutations are frequent in de novo AML with noncomplex karyotype and confer an unfavorable prognosis.

Authors:  Susanne Schnittger; Frank Dicker; Wolfgang Kern; Nicole Wendland; Jana Sundermann; Tamara Alpermann; Claudia Haferlach; Torsten Haferlach
Journal:  Blood       Date:  2010-12-09       Impact factor: 22.113

6.  Mutational Landscape and Gene Expression Patterns in Adult Acute Myeloid Leukemias with Monosomy 7 as a Sole Abnormality.

Authors:  Ann-Kathrin Eisfeld; Jessica Kohlschmidt; Krzysztof Mrózek; Stefano Volinia; James S Blachly; Deedra Nicolet; Christopher Oakes; Karl Kroll; Shelley Orwick; Andrew J Carroll; Richard M Stone; John C Byrd; Albert de la Chapelle; Clara D Bloomfield
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Review 7.  MLL translocations, histone modifications and leukaemia stem-cell development.

Authors:  Andrei V Krivtsov; Scott A Armstrong
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8.  Expression of cellular oncogenes in primary cells from human acute leukemias.

Authors:  F Mavilio; N M Sposi; M Petrini; L Bottero; M Marinucci; G De Rossi; S Amadori; F Mandelli; C Peschle
Journal:  Proc Natl Acad Sci U S A       Date:  1986-06       Impact factor: 11.205

9.  Proposals for the classification of the acute leukaemias. French-American-British (FAB) co-operative group.

Authors:  J M Bennett; D Catovsky; M T Daniel; G Flandrin; D A Galton; H R Gralnick; C Sultan
Journal:  Br J Haematol       Date:  1976-08       Impact factor: 6.998

10.  Aging of the microenvironment influences clonality in hematopoiesis.

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Journal:  PLoS One       Date:  2012-08-06       Impact factor: 3.240

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2.  Quantitative Analysis of Differential Expression of HOX Genes in Multiple Cancers.

Authors:  Orit Adato; Yaron Orenstein; Juri Kopolovic; Tamar Juven-Gershon; Ron Unger
Journal:  Cancers (Basel)       Date:  2020-06-14       Impact factor: 6.639

Review 3.  Zebrafish models of acute leukemias: Current models and future directions.

Authors:  Brandon Molina; Jasmine Chavez; Stephanie Grainger
Journal:  Wiley Interdiscip Rev Dev Biol       Date:  2020-12-19       Impact factor: 5.814

Review 4.  Dysregulation of miRNA in Leukemia: Exploiting miRNA Expression Profiles as Biomarkers.

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Review 5.  Circular RNAs in Embryogenesis and Cell Differentiation With a Focus on Cancer Development.

Authors:  Silvia Di Agostino; Anna Riccioli; Paola De Cesaris; Giulia Fontemaggi; Giovanni Blandino; Antonio Filippini; Francesco Fazi
Journal:  Front Cell Dev Biol       Date:  2020-05-27

Review 6.  Recent advances in understanding circular RNAs.

Authors:  Constanze Ebermann; Theodor Schnarr; Sabine Müller
Journal:  F1000Res       Date:  2020-06-29

7.  Using singscore to predict mutation status in acute myeloid leukemia from transcriptomic signatures.

Authors:  Dharmesh D Bhuva; Momeneh Foroutan; Yi Xie; Ruqian Lyu; Joseph Cursons; Melissa J Davis
Journal:  F1000Res       Date:  2019-06-03

Review 8.  Role of non-coding RNA networks in leukemia progression, metastasis and drug resistance.

Authors:  Ajaz A Bhat; Salma N Younes; Syed Shadab Raza; Lubna Zarif; Sabah Nisar; Ikhlak Ahmed; Rashid Mir; Sachin Kumar; Surender K Sharawat; Sheema Hashem; Imadeldin Elfaki; Michal Kulinski; Shilpa Kuttikrishnan; Kirti S Prabhu; Abdul Q Khan; Santosh K Yadav; Wael El-Rifai; Mohammad A Zargar; Hatem Zayed; Mohammad Haris; Shahab Uddin
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Review 9.  Drug Resistance Biomarkers and Their Clinical Applications in Childhood Acute Lymphoblastic Leukemia.

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10.  Fms-like tyrosine kinase 3-internal tandem duplications epigenetically activates checkpoint kinase 1 in acute myeloid leukemia cells.

Authors:  Yudong Zhang; Lingli Yuan
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