Literature DB >> 29296792

A 4-lncRNA scoring system for prognostication of adult myelodysplastic syndromes.

Chi-Yuan Yao1,2,3, Ching-Hsuan Chen4, Huai-Hsuan Huang1, Hsin-An Hou1, Chien-Chin Lin1,2,3, Mei-Hsuan Tseng1, Chein-Jun Kao1, Tzu-Pin Lu4, Wen-Chien Chou1,2, Hwei-Fang Tien1.   

Abstract

Long noncoding RNAs (lncRNAs) not only participate in normal hematopoiesis but also contribute to the pathogenesis of acute leukemia. However, their clinical and prognostic relevance in myelodysplastic syndromes (MDSs) remains unclear to date. In this study, we profiled lncRNA expressions in 176 adult patients with primary MDS, and identified 4 lncRNAs whose expression levels were significantly associated with overall survival (OS). We then constructed a risk-scoring system with the weighted sum of these 4 lncRNAs. Higher lncRNA scores were associated with higher marrow blast percentages, higher-risk subtypes of MDSs (based on both the Revised International Prognostic Scoring System [IPSS-R] and World Health Organization classification), complex cytogenetic changes, and mutations in RUNX1, ASXL1, TP53, SRSF2, and ZRSR2, whereas they were inversely correlated with SF3B1 mutation. Patients with higher lncRNA scores had a significantly shorter OS and a higher 5-year leukemic transformation rate compared with those with lower scores. The prognostic significance of our 4-lncRNA risk score could be validated in an independent MDS cohort. In multivariate analysis, higher lncRNA scores remained an independent unfavorable risk factor for OS (relative risk, 4.783; P < .001) irrespective of age, cytogenetics, IPSS-R, and gene mutations. To our knowledge, this is the first report to provide a lncRNA platform for risk stratification of MDS patients. In conclusion, our integrated 4-lncRNA risk-scoring system is correlated with distinctive clinical and biological features in MDS patients, and serves as an independent prognostic factor for survival and leukemic transformation. This concise yet powerful lncRNA-based scoring system holds the potential to improve the current risk stratification of MDS patients.

Entities:  

Year:  2017        PMID: 29296792      PMCID: PMC5728469          DOI: 10.1182/bloodadvances.2017008284

Source DB:  PubMed          Journal:  Blood Adv        ISSN: 2473-9529


  86 in total

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Journal:  Br J Haematol       Date:  2001-01       Impact factor: 6.998

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10.  Splicing factor mutations predict poor prognosis in patients with de novo acute myeloid leukemia.

Authors:  Hsin-An Hou; Chieh-Yu Liu; Yuan-Yeh Kuo; Wen-Chien Chou; Cheng-Hong Tsai; Chien-Chin Lin; Liang-In Lin; Mei-Hsuan Tseng; Ying-Chieh Chiang; Ming-Chih Liu; Chia-Wen Liu; Jih-Luh Tang; Ming Yao; Chi-Cheng Li; Shang-Yi Huang; Bor-Sheng Ko; Szu-Chun Hsu; Chien-Yuan Chen; Chien-Ting Lin; Shang-Ju Wu; Woei Tsay; Hwei-Fang Tien
Journal:  Oncotarget       Date:  2016-02-23
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Journal:  Haematologica       Date:  2018-12-13       Impact factor: 9.941

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