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Jinlong Shi
Jinlong Shi
Chinese PLA General Hospital
在 plagh.org 的电子邮件经过验证
标题
引用次数
引用次数
年份
Role of microRNAs, circRNAs and long noncoding RNAs in acute myeloid leukemia
Y Liu, Z Cheng, Y Pang, L Cui, T Qian, L Quan, H Zhao, J Shi, X Ke, L Fu
Journal of hematology & oncology 12, 1-20, 2019
1872019
Low dose decitabine treatment induces CD80 expression in cancer cells and stimulates tumor specific cytotoxic T lymphocyte responses
LX Wang, ZY Mei, JH Zhou, YS Yao, YH Li, YH Xu, JX Li, XN Gao, ...
PloS one 8 (5), e62924, 2013
1292013
High expression of CPT1A predicts adverse outcomes: a potential therapeutic target for acute myeloid leukemia
J Shi, H Fu, Z Jia, K He, L Fu, W Wang
EBioMedicine 14, 55-64, 2016
882016
AML1/ETO cooperates with HIF1α to promote leukemogenesis through DNMT3a transactivation
XN Gao, F Yan, J Lin, L Gao, XL Lu, SC Wei, N Shen, JX Pang, QY Ning, ...
Leukemia 29 (8), 1730-1740, 2015
812015
High expression of inositol 1, 4, 5-trisphosphate receptor, type 2 (ITPR2) as a novel biomarker for worse prognosis in cytogenetically normal acute myeloid leukemia
J Shi, L Fu, W Wang
Oncotarget 6 (7), 5299, 2015
702015
The active lung microbiota landscape of COVID-19 patients through the metatranscriptome data analysis
Y Han, Z Jia, J Shi, W Wang, K He
BioImpacts: BI 12 (2), 139, 2022
602022
Identification of let-7a-2-3p or/and miR-188-5p as prognostic biomarkers in cytogenetically normal acute myeloid leukemia
S Jinlong, F Lin, L Yonghui, Y Li, W Weidong
PloS one 10 (2), e0118099, 2015
582015
Nonlinear dimensionality reduction of gene expression data for visualization and clustering analysis of cancer tissue samples
J Shi, Z Luo
Computers in biology and medicine 40 (8), 723-732, 2010
582010
Overexpression of PDK2 and PDK3 reflects poor prognosis in acute myeloid leukemia
L Cui, Z Cheng, Y Liu, Y Dai, Y Pang, Y Jiao, X Ke, W Cui, Q Zhang, J Shi, ...
Cancer gene therapy 27 (1), 15-21, 2020
502020
Impacts of the plateau environment on the gut microbiota and blood clinical indexes in Han and Tibetan individuals
Z Jia, X Zhao, X Liu, L Zhao, Q Jia, J Shi, X Xu, L Hao, Z Xu, Q Zhong, ...
MSystems 5 (1), 10.1128/msystems. 00660-19, 2020
492020
High expression of RUNX1 is associated with poorer outcomes in cytogenetically normal acute myeloid leukemia
L Fu, H Fu, L Tian, K Xu, K Hu, J Wang, J Wang, H Jing, J Shi, X Ke
Oncotarget 7 (13), 15828, 2016
362016
High IFITM3 expression predicts adverse prognosis in acute myeloid leukemia
Y Liu, R Lu, W Cui, Y Pang, C Liu, L Cui, T Qian, L Quan, Y Dai, Y Jiao, ...
Cancer Gene Therapy 27 (1), 38-44, 2020
342020
High expression levels of ACTN1 and ACTN3 indicate unfavorable prognosis in acute myeloid leukemia
X Yang, Y Pang, J Zhang, J Shi, X Zhang, G Zhang, S Yang, J Wang, K Hu, ...
Journal of Cancer 10 (18), 4286, 2019
282019
A minicircuitry of microRNA‐9‐1 and RUNX1‐RUNX1T1 contributes to leukemogenesis in t (8; 21) acute myeloid leukemia
L Fu, J Shi, A Liu, L Zhou, M Jiang, H Fu, K Xu, D Li, A Deng, Q Zhang, ...
International Journal of Cancer 140 (3), 653-661, 2017
282017
Overlapping community detection by kernel-based fuzzy affinity propagation
F Ding, Z Luo, J Shi, X Fang
2010 2nd International Workshop on Intelligent Systems and Applications, 1-4, 2010
282010
Transcriptome-based drug repositioning for coronavirus disease 2019 (COVID-19)
Z Jia, X Song, J Shi, W Wang, K He
Pathogens and disease 78 (4), ftaa036, 2020
272020
A novel epigenetic AML1‐ETO/THAP10/miR‐383 mini‐circuitry contributes to t(8;21) leukaemogenesis
Y Li, Q Ning, J Shi, Y Chen, M Jiang, L Gao, W Huang, Y Jing, S Huang, ...
EMBO Molecular Medicine 9 (7), 933-949, 2017
262017
High expression of MAP7 predicts adverse prognosis in young patients with cytogenetically normal acute myeloid leukemia
L Fu, H Fu, L Zhou, K Xu, Y Pang, K Hu, J Wang, L Tian, Y Liu, J Wang, ...
Scientific reports 6 (1), 34546, 2016
262016
Overexpression of ATP1B1 predicts an adverse prognosis in cytogenetically normal acute myeloid leukemia
J Shi, L Fu, Q Ang, G Wang, J Zhu, W Wang
Oncotarget 7 (3), 2585, 2016
262016
High expression of ETS2 predicts poor prognosis in acute myeloid leukemia and may guide treatment decisions
L Fu, H Fu, Q Wu, Y Pang, K Xu, L Zhou, J Qiao, X Ke, K Xu, J Shi
Journal of translational medicine 15, 1-9, 2017
242017
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