Literature DB >> 32122925

RNA Splicing Alterations Induce a Cellular Stress Response Associated with Poor Prognosis in Acute Myeloid Leukemia.

Ashwin Unnikrishnan1, John E Pimanda1,2,3, Govardhan Anande4, Nandan P Deshpande5, Sylvain Mareschal6, Aarif M N Batcha7,8, Henry R Hampton4, Tobias Herold9,10, Soren Lehmann6,11, Marc R Wilkins5, Jason W H Wong4,12.   

Abstract

PURPOSE: RNA splicing is a fundamental biological process that generates protein diversity from a finite set of genes. Recurrent somatic mutations of splicing factor genes are common in some hematologic cancers but are relatively uncommon in acute myeloid leukemia (AML, < 20% of patients). We examined whether RNA splicing differences exist in AML, even in the absence of splicing factor mutations. EXPERIMENTAL
DESIGN: We developed a bioinformatics pipeline to study alternative RNA splicing in RNA-sequencing data from large cohorts of patients with AML.
RESULTS: We have identified recurrent differential alternative splicing between patients with poor and good prognosis. These splicing events occurred even in patients without any discernible splicing factor mutations. Alternative splicing recurrently occurred in genes with specific molecular functions, primarily related to protein translation. Developing tools to predict the functional impact of alternative splicing on the translated protein, we discovered that approximately 45% of the splicing events directly affected highly conserved protein domains. Several splicing factors were themselves misspliced and the splicing of their target transcripts were altered. Studying differential gene expression in the same patients, we identified that alternative splicing of protein translation genes in ELNAdv patients resulted in the induction of an integrated stress response and upregulation of inflammation-related genes. Finally, using machine learning techniques, we identified a splicing signature of four genes which refine the accuracy of existing risk prognosis schemes and validated it in a completely independent cohort.
CONCLUSIONS: Our discoveries therefore identify aberrant alternative splicing as a molecular feature of adverse AML with clinical relevance.See related commentary by Bowman, p. 3503. ©2020 American Association for Cancer Research.

Entities:  

Year:  2020        PMID: 32122925     DOI: 10.1158/1078-0432.CCR-20-0184

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  11 in total

1.  Improving AML Classification Using Splicing Signatures.

Authors:  Teresa V Bowman
Journal:  Clin Cancer Res       Date:  2020-04-21       Impact factor: 12.531

2.  Clusterization in acute myeloid leukemia based on prognostic alternative splicing signature to reveal the clinical characteristics in the bone marrow microenvironment.

Authors:  Nan Zhang; Ping Zhang; Ying Chen; Shifeng Lou; Hanqing Zeng; Jianchuan Deng
Journal:  Cell Biosci       Date:  2020-10-12       Impact factor: 7.133

3.  Alternative splicing redefines landscape of commonly mutated genes in acute myeloid leukemia.

Authors:  Osvaldo D Rivera; Michael J Mallory; Mathieu Quesnel-Vallières; Rakesh Chatrikhi; David C Schultz; Martin Carroll; Yoseph Barash; Sara Cherry; Kristen W Lynch
Journal:  Proc Natl Acad Sci U S A       Date:  2021-04-13       Impact factor: 11.205

Review 4.  Alternative splicing and cancer: insights, opportunities, and challenges from an expanding view of the transcriptome.

Authors:  Sara Cherry; Kristen W Lynch
Journal:  Genes Dev       Date:  2020-08-01       Impact factor: 11.361

5.  A clinically applicable gene expression-based score predicts resistance to induction treatment in acute myeloid leukemia.

Authors:  Christian Moser; Vindi Jurinovic; Sabine Sagebiel-Kohler; Bianka Ksienzyk; Aarif M N Batcha; Annika Dufour; Stephanie Schneider; Maja Rothenberg-Thurley; Cristina M Sauerland; Dennis Görlich; Wolfgang E Berdel; Utz Krug; Ulrich Mansmann; Wolfgang Hiddemann; Jan Braess; Karsten Spiekermann; Philipp A Greif; Sebastian Vosberg; Klaus H Metzeler; Jörg Kumbrink; Tobias Herold
Journal:  Blood Adv       Date:  2021-11-23

6.  Improving prediction accuracy in acute myeloid leukaemia: micro-environment, immune and metabolic models.

Authors:  Fang Hu; Yun Wang; Wei-da Wang; Robert Peter Gale; Bing-Yi Wu; Yang Liang
Journal:  Leukemia       Date:  2021-08-07       Impact factor: 12.883

7.  The aberrant upregulation of exon 10-inclusive SREK1 through SRSF10 acts as an oncogenic driver in human hepatocellular carcinoma.

Authors:  Cunjie Chang; Muthukumar Rajasekaran; Yiting Qiao; Heng Dong; Yu Wang; Hongping Xia; Amudha Deivasigamani; Minjie Wu; Karthik Sekar; Hengjun Gao; Mengqing Sun; Yuqin Niu; Qian Li; Lin Tao; Zhen Yan; Menglan Wang; Shasha Chen; Shujuan Zhao; Dajing Chen; Lina Li; Fan Yang; Haojin Gao; Baodong Chen; Ling Su; Liang Xu; Ye Chen; Veerabrahma Pratap Seshachalam; Gongxing Chen; Jayantha Gunaratne; Wanjin Hong; Junping Shi; Gongying Chen; David S Grierson; Benoit Chabot; Tian Xie; Kam Man Hui; Jianxiang Chen
Journal:  Nat Commun       Date:  2022-03-16       Impact factor: 17.694

8.  A pan-cancer analysis of alternative splicing of splicing factors in 6904 patients.

Authors:  Rui Cheng; Lixing Xiao; Wenyang Zhou; Xiyun Jin; Zhaochun Xu; Chang Xu; Pingping Wang; Meng Luo; Mengyun Wang; Kexin Ma; Huimin Cao; Yan Huang; Xiaoyu Lin; Fenglan Pang; Yiqun Li; Qinghua Jiang
Journal:  Oncogene       Date:  2021-07-20       Impact factor: 9.867

9.  Splicing Factor Mutations and Disease Phenotype: Searching for a Needle in a Haystack.

Authors:  Kevin Rouault-Pierre
Journal:  Hemasphere       Date:  2021-06-01

10.  Development of a nomogram for prognostic prediction of lower-grade glioma based on alternative splicing signatures.

Authors:  Yaning Wang; Zihao Wang; Binghao Zhao; Wenlin Chen; Yu Wang; Wenbin Ma
Journal:  Cancer Med       Date:  2020-10-13       Impact factor: 4.452

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