Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Xue Yi Pan"'
Publikováno v:
PLoS ONE, Vol 14, Iss 1, p e0210943 (2019)
We aimed to characterize the clinical significance of epigenetic loss of death-associated protein kinase (DAPK) gene function through promoter methylation in the development and prognosis of lymphoma. PubMed, Web of Science and ProQuest databases wer
Externí odkaz:
https://doaj.org/article/844e9a8b6167486b96452f13b6684aa1
Autor:
Qing-Qing Cai, Dan Xie, Tie-Bang Kang, Li-Yan Song, Guo-Wei Li, Lan Hai, Xue-Yi Pan, Zhong-Jun Xia, Wen-Jun He, Hong-Yi Gao, Ying Zhang, Yi-Rong Jiang, Chang-Lu Hu, Yong Zhu, Xiang-Ling Meng, Ying Zhou, Qiao-Nan Guo, Jun Rao, Zhi-Gang Zhu, Hui Liu, Wei Sang, Cai Sun, Wei Dong, Xiao-Dong Chen, Yue-Rong Shuang, Kun Yi, Xi-Na Lin, Xia Gu, Kun Ru, Qi Sun, Run-Fen Cheng, Qiong-Li Zhai, Chun-Kui Shao, Qiong Liang, Qiong-Lan Tang, Zhi-Hua Li, Bing Liao, Juan Li, Xiao-Liang Lan, Li Liang, Li-Ye Zhong, Fen Zhang, Fang Liu, Mei Li, Hui-Lan Rao, Shu-Yun Ma, Tong-Yu Lin, Hui-Qiang Huang, Xi Zhang, Yan-Hui Liu, Wei-Juan Huang, Liang Wang, Ning Su, Xiao-Peng Tian
Supplementary Figure S8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a06e2168900fc487ee7a47e8daa6897d
https://doi.org/10.1158/1078-0432.22475070
https://doi.org/10.1158/1078-0432.22475070
Autor:
Qing-Qing Cai, Dan Xie, Tie-Bang Kang, Li-Yan Song, Guo-Wei Li, Lan Hai, Xue-Yi Pan, Zhong-Jun Xia, Wen-Jun He, Hong-Yi Gao, Ying Zhang, Yi-Rong Jiang, Chang-Lu Hu, Yong Zhu, Xiang-Ling Meng, Ying Zhou, Qiao-Nan Guo, Jun Rao, Zhi-Gang Zhu, Hui Liu, Wei Sang, Cai Sun, Wei Dong, Xiao-Dong Chen, Yue-Rong Shuang, Kun Yi, Xi-Na Lin, Xia Gu, Kun Ru, Qi Sun, Run-Fen Cheng, Qiong-Li Zhai, Chun-Kui Shao, Qiong Liang, Qiong-Lan Tang, Zhi-Hua Li, Bing Liao, Juan Li, Xiao-Liang Lan, Li Liang, Li-Ye Zhong, Fen Zhang, Fang Liu, Mei Li, Hui-Lan Rao, Shu-Yun Ma, Tong-Yu Lin, Hui-Qiang Huang, Xi Zhang, Yan-Hui Liu, Wei-Juan Huang, Liang Wang, Ning Su, Xiao-Peng Tian
Supplementary Table S7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::030a7cc54e88c04956334c6240cebfaf
https://doi.org/10.1158/1078-0432.22475040.v1
https://doi.org/10.1158/1078-0432.22475040.v1
Autor:
Qing-Qing Cai, Dan Xie, Tie-Bang Kang, Li-Yan Song, Guo-Wei Li, Lan Hai, Xue-Yi Pan, Zhong-Jun Xia, Wen-Jun He, Hong-Yi Gao, Ying Zhang, Yi-Rong Jiang, Chang-Lu Hu, Yong Zhu, Xiang-Ling Meng, Ying Zhou, Qiao-Nan Guo, Jun Rao, Zhi-Gang Zhu, Hui Liu, Wei Sang, Cai Sun, Wei Dong, Xiao-Dong Chen, Yue-Rong Shuang, Kun Yi, Xi-Na Lin, Xia Gu, Kun Ru, Qi Sun, Run-Fen Cheng, Qiong-Li Zhai, Chun-Kui Shao, Qiong Liang, Qiong-Lan Tang, Zhi-Hua Li, Bing Liao, Juan Li, Xiao-Liang Lan, Li Liang, Li-Ye Zhong, Fen Zhang, Fang Liu, Mei Li, Hui-Lan Rao, Shu-Yun Ma, Tong-Yu Lin, Hui-Qiang Huang, Xi Zhang, Yan-Hui Liu, Wei-Juan Huang, Liang Wang, Ning Su, Xiao-Peng Tian
Purpose:Adults with T-cell lymphoblastic lymphoma (T-LBL) generally benefit from treatment with acute lymphoblastic leukemia (ALL)-like regimens, but approximately 40% will relapse after such treatment. We evaluated the value of CpG methylation in pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b213781f5ba30c7bc4c3c8d14265f3b
https://doi.org/10.1158/1078-0432.c.6528984
https://doi.org/10.1158/1078-0432.c.6528984
Autor:
Qing-Qing Cai, Dan Xie, Tie-Bang Kang, Li-Yan Song, Guo-Wei Li, Lan Hai, Xue-Yi Pan, Zhong-Jun Xia, Wen-Jun He, Hong-Yi Gao, Ying Zhang, Yi-Rong Jiang, Chang-Lu Hu, Yong Zhu, Xiang-Ling Meng, Ying Zhou, Qiao-Nan Guo, Jun Rao, Zhi-Gang Zhu, Hui Liu, Wei Sang, Cai Sun, Wei Dong, Xiao-Dong Chen, Yue-Rong Shuang, Kun Yi, Xi-Na Lin, Xia Gu, Kun Ru, Qi Sun, Run-Fen Cheng, Qiong-Li Zhai, Chun-Kui Shao, Qiong Liang, Qiong-Lan Tang, Zhi-Hua Li, Bing Liao, Juan Li, Xiao-Liang Lan, Li Liang, Li-Ye Zhong, Fen Zhang, Fang Liu, Mei Li, Hui-Lan Rao, Shu-Yun Ma, Tong-Yu Lin, Hui-Qiang Huang, Xi Zhang, Yan-Hui Liu, Wei-Juan Huang, Liang Wang, Ning Su, Xiao-Peng Tian
Supplementary Figure legend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7064785e323e14b278d01d8c2ec1ed5a
https://doi.org/10.1158/1078-0432.22475064.v1
https://doi.org/10.1158/1078-0432.22475064.v1
Autor:
Fang, Hu, Yun, Wang, Yu, Zhang, Yun, Zeng, Shun-Qing, Wang, Xue-Yi, Pan, Tong-Hua, Yang, Qi-Fa, Liu, Yang, Liang
Publikováno v:
Zhongguo shi yan xue ye xue za zhi. 30(2)
To establish an immune gene prognostic model of acute myeloid leukemia (AML) and explore its correlation with immune cells in bone marrow microenvironment.Gene expression profile and clinical data of TCGA-AML were downloaded from TCGA database. Immun
Autor:
Run-Cong Nie, Jinyuan Li, Pei-dong Chi, Qian-yi Zhang, Tobias Herold, Wolfgang Hiddemann, Yun Wang, Yong-qing Wang, Xiong Zhang, Yan-Yu Cai, Yu Zhang, Ze-lin Liu, Yang Liang, San-bin Wang, Robert Peter Gale, Yong-zhong Su, Xin Du, Klaus H. Metzeler, Tong-hua Yang, Qing Zhang, Zhe-Yuan Qin, Yun Zeng, Xin-mei Zhang, Yuan-bin Wu, Na Zhong, Jian-wei Wu, Bei Zhang, Zhi-jun Wuxiao, Xue-Yi Pan, Qifa Liu, Zhi-wei Liang, Shun-Qing Wang, Jing-bo Xu, Si-Liang Chen, Bingyi Wu, Ruo-zhi Xiao
Publikováno v:
Clinical Cancer Research. 27:255-266
Purpose: Prediction models for acute myeloid leukemia (AML) are useful, but have considerable inaccuracy and imprecision. No current model includes covariates related to immune cells in the AML microenvironment. Here, an immune risk score was explore
Autor:
Qi Sun, Xia Gu, Li Liang, Fang Liu, Yue-Rong Shuang, Wei Dong, Qiong-Li Zhai, Guo-Wei Li, Kun Ru, Qiong-Lan Tang, Xue-Yi Pan, Dan Xie, Juan Li, Chang-Lu Hu, Ying Zhang, Xi Zhang, Jun Rao, Li-Yan Song, Wei Sang, Xiao-Liang Lan, Li-Ye Zhong, Yong Zhu, Hong-Yi Gao, Hui Liu, Liang Wang, Wei-Juan Huang, Xiang-Ling Meng, Huiqiang Huang, Zhihua Li, Yi-Rong Jiang, Ning Su, Yan-hui Liu, Bing Liao, Tiebang Kang, Qiao-Nan Guo, Kun Yi, Chun-Kui Shao, Qingqing Cai, Run-Fen Cheng, Xiao-Peng Tian, Huilan Rao, Qiong Liang, Cai Sun, T. Lin, Xiao-Dong Chen, Xi-Na Lin, Fen Zhang, Ying Zhou, Wen-Jun He, Zhigang Zhu, Lan Hai, Shu-Yun Ma, Mei Li, Zhong-Jun Xia
Publikováno v:
Clinical Cancer Research. 26:3760-3770
Purpose: Adults with T-cell lymphoblastic lymphoma (T-LBL) generally benefit from treatment with acute lymphoblastic leukemia (ALL)-like regimens, but approximately 40% will relapse after such treatment. We evaluated the value of CpG methylation in p
Autor:
Qiao Nan Guo, Yan Hui Liu, Xiao Peng Tian, Li Ye Zhong, Xi Zhang, Qiong Liang, Xia Gu, Fang Liu, Qiong Li Zhai, Kun Ru, Xiao-Dong Chen, Zhi Gang Zhu, Fen Zhang, Chun Kui Shao, Hui Zheng Bao, Zhihua Li, Cai Sun, Mei Li, Qi Sun, Xiao Liang Lan, Liang Wang, Shu Yun Ma, Wei Dong, Kun Yi, Li-Yan Song, Wei Sang, Hong Yi Gao, Xue Yi Pan, Wei Juan Huang, Qiong Lan Tang, Lu Liu, Hui Lan Rao, Hui Qiang Huang, Tong Yu Lin, Juan Li, Dan Xie, Hai Lan, Yong Zhu, Tie Bang Kang, Chang Lu Hu, Bing Liao, Yue Rong Shuang, Run Fen Cheng, Guo Wei Li, Yi Rong Jiang, Wen Jun He, Qing Qing Cai, Jun Rao, Ying Zhou, Zhong Jun Xia, Li Liang, Xi Na Lin, Xiang Ling Meng, Ying Zhang, Hui Liu
Publikováno v:
Leukemia. 34:2392-2404
We aimed to establish a discriminative gene-expression-based classifier to predict survival outcomes of T-cell lymphoblastic lymphoma (T-LBL) patients. After exploring global gene-expression profiles of progressive (n = 22) vs. progression-free (n =
Autor:
Xiao-Peng, Tian, Dan, Xie, Wei-Juan, Huang, Shu-Yun, Ma, Liang, Wang, Yan-Hui, Liu, Xi, Zhang, Hui-Qiang, Huang, 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, Xue-Yi, Pan, Hai, Lan, Guo-Wei, Li, Lu, Liu, Hui-Zheng, Bao, Li-Yan, Song, Tie-Bang, Kang, Qing-Qing, Cai
Publikováno v:
Leukemia. 34(9)
We aimed to establish a discriminative gene-expression-based classifier to predict survival outcomes of T-cell lymphoblastic lymphoma (T-LBL) patients. After exploring global gene-expression profiles of progressive (n = 22) vs. progression-free (n =