Wenjie Xiong
Peking Union Medical College
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Featured researches published by Wenjie Xiong.
Chinese Medical Journal | 2017
Heng Li; Shuhua Yi; Wenjie Xiong; Huimin Liu; Rui Lyu; Tingyu Wang; Wei Liu; Shizhen Zhong; Zhen Yu; Dehui Zou; Yan Xu; Gang An; Zengjun Li; Lugui Qiu
Background: The established clinical staging systems (Rai/Binet) of chronic lymphocytic leukemia (CLL) cannot accurately predict the appropriate treatment of patients in the earlier stages. In the past two decades, several prognostic factors have been identified to predict the outcome of patients with CLL, but only a few studies investigated more markers together. To predict the time to first treatment (TTFT) in patients of early stages, we evaluated the prognostic role of conventional markers as well as cytogenetic abnormalities and combined them together in a new prognostic scoring system, the CLL prognostic index (CLL-PI). Methods: Taking advantage of a population of 406 untreated Chinese patients with CLL at early and advanced stage of disease, we identified the strongest prognostic markers of TTFT and, subsequently, in a cohort of 173 patients who had complete data for all 3 variables, we integrated the data of traditional staging system, cytogenetic aberrations, and mutational status of immunoglobulin heavy chain variable region (IGHV) in CLL-PI. The median follow-up time was 45 months and the end point was TTFT. Results: The median TTFT was 38 months and the 5-year overall survival was 80%. According to univariate analysis, patients of advanced Rai stages (P < 0.001) or with 11q- (P = 0.002), 17p- (P < 0.001), unmutated IGHV (P < 0.001), negative 13q- (P = 0.007) and elevated lactate dehydrogenase levels (P = 0.001) tended to have a significantly shorter TTFT. And subsequently, based on multivariate Cox regression analysis, three independent factors for TTFT were identified: advanced clinical stage (P = 0.002), 17p- (P = 0.050) and unmutated IGHV (P = 0.049). Applying weighted grading of these independent factors, a CLL-PI was constructed based on regression parameters, which could categorize four different risk groups (low risk [score 0], intermediate low [score 1], intermediate high [score 2] and high risk [score 3–6]) with significantly different TTFT (median TTFT of not reached (NR), 65.0 months, 36.0 months and 19.0 months, respectively, P < 0.001). Conclusions: This study developed a weighted, integrated CLL-PI prognostic system of CLL patients which combines the critical genetic prognostic markers with traditional clinical stage. This novel modified PI system could be used to discriminate among groups and may help predict the TTFT and prognosis of patients with CLL.
Chinese Journal of Cancer Research | 2017
Heng Li; Wenjie Xiong; Huimin Liu; Shuhua Yi; Zhen Yu; Wei Liu; Rui Lyu; Tingyu Wang; Dehui Zou; Zengjun Li; Lugui Qiu
Objective This study aims to evaluate the natural history of patients with chronic lymphocytic leukemia (CLL) and a 17p deletion (17p-) and identify the predictive factors within this subgroup. Methods The sample of patients with CLL were analyzed by fluorescencein situ hybridization for deletions in chromosome bands 11q22, 13q14 and 17p13; trisomy of bands 12q13; and translocation involving band 14q32. The data from 456 patients with or without a 17p- were retrospectively collected and analyzed. Results The overall response rate (ORR) in patients with a 17p- was 56.9%, and patients with a high percentage of 17p- (defined as more than 25% of cells harbouring a 17p-) had a lower ORR. The median overall survival (OS) in patients with a 17p- was 78.0 months, which was significantly shorter than the OS in patients without this genetic abnormality (median 162.0 months, P<0.001). Within the subgroup with a 17p-, the progression-free survival was significantly shorter in patients at Binet stage B-C and patients with elevated lactate dehydrogenase (LDH), B symptoms, unmutatedIGHV and a high percentage of 17p-. Conclusions These results indicated that patients with a 17p- CLL have a variable prognosis that might be predicted using simple clinical and laboratory characteristics.
International Journal of Hematology | 2017
Shuhua Yi; Heng Li; Zengjun Li; Wenjie Xiong; Huimin Liu; Wei Liu; Rui Lv; Zhen Yu; Dehui Zou; Yan Xu; Gang An; Lugui Qiu
Blood | 2016
Heng Li; Wenjie Xiong; Zengjun Li; Shuhua Li; Rui Lv; Dehui Zou; Lugui Qiu
Blood | 2016
Wenjie Xiong; Shuhua Yi; Heng Li; Zengjun Li; Rui Lv; Wei Liu; Yan Xu; Dehui Zou; Mu Hao; Lugui Qiu
Blood | 2016
Yuting Yan; Wenjie Xiong; Shuhua Yi; Rui Lv; Zhen Yu; Wei Liu; Heng Li; Huimin Liu; Zengjun Li; Dehui Zou; Mu Hao; Lugui Qiu
Blood | 2016
Wenjie Xiong; Shuhua Yi; Heng Li; Zengjun Li; Rui Lv; Wei Liu; Yan Xu; Dehui Zou; Mu Hao; Lugui Qiu
Blood | 2016
Huimin Liu; Wenjie Xiong; Heng Li; Rui Lv; Wei Liu; Shuhua Yi; Zengjun Li; Lugui Qiu
Blood | 2015
Wenjie Xiong; Heng Li; Shuhua Yi; Zengjun Li; Shizhen Zhong; Wei Liu; Rui Lv; Dehui Zou; Lugui Qiu
Blood | 2015
Wenjie Xiong; Heng Li; Shuhua Yi; Zengjun Li; Wei Liu; Rui Lv; Dehui Zou; Lugui Qiu