Prognostic and predictive value of a microRNA signature in adults with T-cell lymphoblastic lymphoma. View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04-05

AUTHORS

Xiao-Peng Tian, Wei-Juan Huang, Hui-Qiang Huang, Yan-Hui Liu, Liang Wang, Xi Zhang, Tong-Yu Lin, Hui-Lan Rao, Mei Li, Fang Liu, Fen Zhang, Li-Ye Zhong, Li Liang, Xiao-Liang Lan, Juan Li, Bing Liao, Zhi-Hua Li, Qiong-Lan Tang, Qiong Liang, Chun-Kui Shao, Qiong-Li Zhai, Run-Fen Cheng, Qi Sun, Kun Ru, Xia Gu, Xi-Na Lin, Kun Yi, Yue-Rong Shuang, Xiao-Dong Chen, Wei Dong, Wei Sang, Cai Sun, Hui Liu, Zhi-Gang Zhu, Jun Rao, Qiao-Nan Guo, Ying Zhou, Xiang-Ling Meng, Yong Zhu, Chang-Lu Hu, Yi-Rong Jiang, Ying Zhang, Hong-Yi Gao, Wen-Jun He, Zhong-Jun Xia, Cheng-Lei Wu, Mei-Yin Zhang, Hui-Yun Wang, Dan Xie, Qing-Qing Cai

ABSTRACT

New prognostic factors are needed to establish indications for haematopoietic stem cell transplantation (HSCT) in first complete remission (CR1) for T-cell lymphoblastic lymphoma (T-LBL) patients. We used microarray to compare T-LBL tissue samples (n = 75) and fetal thymus tissues (n = 20), and identified 35 differentially expressed miRNAs. Using 107 subjects as the training group, we developed a five-miRNA-based classifier to predict patient survival with LASSO Cox regression: lower risk was associated with better prognosis (disease-free survival (DFS): hazard ratio (HR) 4.548, 95% CI 2.433-8.499, p < 0.001; overall survival (OS): HR 5.030, 95% CI 2.407-10.513, p < 0.001). This classifier displayed good performance in the internal testing set (n = 106) and the independent external set (n = 304). High risk was associated with more favorable response to HSCT (DFS: HR 1.675, 95% CI 1.127-2.488, p = 0.011; OS: HR 1.602, 95% CI 1.055-2.433, p = 0.027). When combined with ECOG-PS and/or NOTCH1/FBXW7 status, this classifier had even better prognostic performance in patients receiving HSCT (DFS: HR 2.088, 95% CI 1.290-3.379, p = 0.003; OS: HR 1.996, 95% CI 1.203-3.311, p = 0.007). The five-miRNA classifier may be a useful prognostic biomarker for T-LBL adults, and could identify subjects who could benefit from HSCT. More... »

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41375-019-0466-0

DOI

http://dx.doi.org/10.1038/s41375-019-0466-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113261648

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30953029


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551 State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China. caiqq@sysucc.org.cn.
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