Author Manuscript Published OnlineFirst on April 23, 2021; DOI: 10.1158/1078-0432.CCR-20-4375 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. 1 Integration of genomic and transcriptomic markers improves the 2 prognosis prediction of acute promyelocytic leukemia 3 4 Authors and Affiliations: 5 Xiaojing Lin1, Niu Qiao1, Yang Shen1, Hai Fang1, Qing Xue1, Bowen Cui1, Li Chen1, Hongming 6 Zhu1, Sujiang Zhang1, Yu Chen1, Lu Jiang1, Shengyue Wang1, Junmin Li1, Bingshun Wang2, 7 Bing Chen1, Zhu Chen1, Saijuan Chen1, 8 L.X.J., Q.N., S.Y. contributed equally to this work. 9 1Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National 10 Research Center for Translational Medicine (Shanghai), Rui-Jin Hospital, Shanghai Jiao Tong 11 University School of Medicine and School of Life Sciences and Biotechnology, Shanghai Jiao 12 Tong University, 200025, Shanghai, China 13 2Department of Biostatistics and Clinical Research Center, Shanghai Jiao Tong University 14 School of Medicine, 200025, Shanghai, China 15 16 Running head: Integrated genomic and transcriptomic model in APL 17 Keywords: APL, NRAS, genomics, transcriptomics, prognosis 18 Corresponding authors: 19 Saijuan Chen, State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, 20 National Research Center for Translational Medicine (Shanghai), Rui-Jin Hospital, Shanghai 21 Jiao Tong University School of Medicine and School of Life Sciences and Biotechnology, 22 Shanghai Jiao Tong University,197 Rui-Jin Er Road, 23 Shanghai, 200025,China 24 Tel: +86-21-33562658 25 Fax: +86-21-64743206 26 E-mail:
[email protected] 27 28 29 Zhu Chen, MD, PhD 30 Shanghai Institute of Hematology, 31 Rui-Jin Hospital, 1 Downloaded from clincancerres.aacrjournals.org on September 25, 2021.