The importance of genomic predictors for clinical outcome of hematological malignancies

被引：7
作者：
Chen, Cunte [1 ]
Zeng, Chengwu [1 ]
Li, Yangqiu [1 ]
机构：
[1] Jinan Univ, Inst Hematol, Sch Med, Key Lab Regenerat Med Minist Educ, Guangzhou, Peoples R China
来源：
BLOOD SCIENCE | 2021年 / 3卷 / 03期
关键词：
ACUTE MYELOID-LEUKEMIA; EXPRESSION; SURVIVAL;
D O I：
10.1097/BS9.0000000000000075
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
引用
收藏
页码：93 / 95
页数：3
相关论文
共 19 条
[1]   Expression profile analysis of prognostic long non-coding RNA in adult acute myeloid leukemia by weighted gene co-expression network analysis (WGCNA) [J].
Chen, Cun-Te ;
Wang, Pei-Pei ;
Mo, Wen-Jian ;
Zhang, Yu-Ping ;
Zhou, Wei ;
Deng, Ting-Fen ;
Zhou, Ming ;
Chen, Xiao-Wei ;
Wang, Shun-Qing ;
Wang, Cai-Xia .
JOURNAL OF CANCER, 2019, 10 (19) :4707-4718
[2]   Tumor mutation burden estimated by a 69-gene-panel is associated with overall survival in patients with diffuse large B-cell lymphoma [J].
Chen, Cunte ;
Liu, Sichu ;
Jiang, Xinmiao ;
Huang, Ling ;
Chen, Feili ;
Wei, Xiaojun ;
Guo, Hanguo ;
Shao, Yang ;
Li, Yangqiu ;
Li, Wenyu .
EXPERIMENTAL HEMATOLOGY & ONCOLOGY, 2021, 10 (01)
[3]   Transcriptome-Based Co-Expression of BRD4 and PD-1/PD-L1 Predicts Poor Overall Survival in Patients With Acute Myeloid Leukemia [J].
Chen, Cunte ;
Xu, Ling ;
Gao, Rili ;
Wang, Shunqing ;
Zhang, Yuping ;
Wang, Caixia ;
Zeng, Chengwu ;
Li, Yangqiu .
FRONTIERS IN PHARMACOLOGY, 2021, 11
[4]   High expression of CD56 may be associated with favorable overall survival in intermediate-risk acute myeloid leukemia [J].
Chen, Cunte ;
Chio, Chi Leong ;
Zeng, Hui ;
Li, Yangqiu .
HEMATOLOGY, 2021, 26 (01) :210-214
[5]   Expression patterns of immune checkpoints in acute myeloid leukemia [J].
Chen, Cunte ;
Liang, Chaofeng ;
Wang, Shunqing ;
Chio, Chi Leong ;
Zhang, Yuping ;
Zeng, Chengwu ;
Chen, Shaohua ;
Wang, Caixia ;
Li, Yangqiu .
JOURNAL OF HEMATOLOGY & ONCOLOGY, 2020, 13 (01)
[6]   Unsupervised machine learning and prognostic factors of survival in chronic lymphocytic leukemia [J].
Coombes, Caitlin E. ;
Abrams, Zachary B. ;
Li, Suli ;
Abruzzo, Lynne, V ;
Coombes, Kevin R. .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2020, 27 (07) :1019-+
[7]   Genomic approaches to hematologic malignancies [J].
Ebert, BL ;
Golub, TR .
BLOOD, 2004, 104 (04) :923-932
[8]   Application of machine learning in the management of acute myeloid leukemia: current practice and future prospects [J].
Eckardt, Jan-Niklas ;
Bornhaeuser, Martin ;
Wendt, Karsten ;
Middeke, Jan Moritz .
BLOOD ADVANCES, 2020, 4 (23) :6077-6085
[9]   T-Cell Lymphomas, Version 1.2021 Featured Updates to the NCCN Guidelines [J].
Horwitz, Steven M. ;
Ansell, Stephen ;
Ai, Weiyun Z. ;
Barnes, Jeffrey ;
Berta, Stefan K. ;
Clemens, Mark W. ;
Dogan, Ahmet ;
Goodman, Aaron M. ;
Goyal, Gaurav ;
Guitart, Joan ;
Halwani, Ahmad ;
Haverkos, Bradley M. ;
Hoppe, Richard T. ;
Jacobsen, Eric ;
Jagadeesh, Deepa ;
Jones, Allison ;
Kim, Youn H. ;
Mehta-Shah, Neha ;
Olsen, Elise A. ;
Pro, Barbara ;
Rajguru, Saurabh A. ;
Rozati, Sima ;
Said, Jonathan ;
Shaver, Aaron ;
Shustov, Andrei ;
Sokol, Lubomir ;
Torka, Pallawi ;
Torres-Cabala, Carlos ;
Wilcox, Ryan ;
William, Basem M. ;
Zain, Jasmine ;
Dwyer, Mary A. ;
Sundar, Hema .
JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK, 2020, 18 (11) :1461-+
[10]   Comprehensive evaluation of matrix factorization methods for the analysis of DNA microarray gene expression data [J].
Kim, Mi Hyeon ;
Seo, Hwa Jeong ;
Joung, Je-Gun ;
Kim, Ju Han .
BMC BIOINFORMATICS, 2011, 12
12