A 4-lncRNA Scoring System for Prognostication in Adult Myelodysplastic Syndromes

• Main Authors: Chi-Yuan Yao, 姚啟元
• Other Authors: 田蕙芬
• Format: Others
• Language: en_US
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/65557t

碩士 === 國立臺灣大學 === 臨床醫學研究所 === 105 === 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 (MDS) remains unclear to date. In this study, we profiled the lncRNA expressions in 176 adult patients with primary MDS, and identified four lncRNAs whose expression levels were significantly associated with overall survival (OS). We then constructed a risk scoring system with the weighted sum of these four lncRNAs. Higher lncRNA scores were associated with higher marrow blast percentages, higher-risk subtypes of MDS based on both the Revised International Prognostic Scoring System (IPSS-R) and WHO classification, complex cytogenetic changes, and mutations in RUNX1, ASXL1, TP53, SRSF2 and ZRSR2, while inversely correlated with SF3B1 mutation. Patients with higher lncRNA scores had a significantly shorter OS and a higher five-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 (RR 4.783, 95% CI 2.491-9.182, P<0.001) 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 overall survival and leukemic transformation. This concise yet powerful lncRNA-based scoring system can help improve the current risk stratification of MDS patients.