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2篇 您的检索式:作者名="Ellen T.Chang"
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1A new prognostic histopathologic classification of nasopharyngeal carcinoma显示文摘Background:The current World Health Organization(WHO) classification of nasopharyngeal carcinoma(NPC) con?veys little prognostic information.This study aimed to propose an NPC histopathologic classification that can poten?tially be used to predict prognosis and treatment response.Methods:We initially developed a histopathologic classification based on the morphologic traits and cell differentia?tion of tumors of 2716 NPC patients who were identified at Sun Yat?sen University Cancer Center(SYSUCC)(training cohort).Then,the proposed classification was applied to 1702 patients(retrospective validation cohort) from hospitals outside SYSUCC and 1613 patients(prospective validation cohort) from SYSUCC.The efficacy of radiochemotherapy and radiotherapy modalities was compared between the proposed subtypes.We used Cox proportional hazards models to estimate hazard ratios(HRs) with 95% confidence intervals(CI) for overall survival(OS).Results:The 5?year OS rates for all NPC patients who were diagnosed with epithelial carcinoma(EC;3708 patients),mixed sarcomatoid?epithelial carcinoma(MSEC;1247 patients),sarcomatoid carcinoma(SC;823 patients),and squamous cell carcinoma(SCC;253 patients) were 79.4%,70.5%,59.6%,and 42.6%,respectively(P < 0.001).In mul?tivariate models,patients with MSEC had a shorter OS than patients with EC(HR = 1.44,95% CI = 1.27–1.62),SC(HR = 2.00,95% CI = 1.76–2.28),or SCC(HR = 4.23,95% CI = 3.34–5.38).Radiochemotherapy significantly improved survival compared with radiotherapy alone for patients with EC(HR 49–0.75),and possibly for those with SCC(HR = 0.67,95% CI = 0.56–0.80),MSEC(HR = 0.58,95% CI = 0..74–1.28).= 0.63;95% CI = 0.40–0.98),but not for patients with SC(HR = 0.97,95% CI = 0Conclusions:The proposed classification offers more information for the prediction of NPC prognosis compared with the WHO classification and might be a valuable tool to guide treatment decisions for subtypes that are associ?ated with a poor prognosis.Hai-Yun Wang Yih-Leong Chang Ka-Fai To Jacqueline S.G.Hwang Hai-Qiang Mai Yan-Fen Feng Ellen T.Chang Chen-Ping Wang Michael Koon Ming Kam Shie-Lee Cheah Ming Lee Li Gao Hui-Zhong Zhang Jie-Hua He Hao Jiang Pei-Qing Ma Xiao-Dong Zhu Liang Zeng Chun-Yan Chen Gang Chen Ma-Yan Huang Sha Fu Qiong Shao An-Jia Han Hai-Gang Li Chun-Kui Shao Pei-Yu Huang Chao-Nan Qian Tai-Xiang Lu Jin-Tian Li Weimin Ye Ingemar Ernberg Ho Keung Ng Joseph T.S.Wee Yi-Xin Zeng Hans-Olov Adami Anthony T.C.Chan Jian-Yong Shao 2016Chinese Journal of Cancer2016,35,6:10
2Transcriptome-wide association analysis identified candidate susceptibility genes for nasopharyngeal carcinoma显示文摘Dear Editor,Nasopharyngeal carcinoma(NPC)is a common malignancy in East and Southeast Asia,especially in South China.The etiology of NPC has been linked to genetic susceptibility,Epstein-Barr virus(EBV)infection,and environmental factors.Accumulated evidence including multiple genome-wide association studies(GWASs)has revealed robust genetic predisposition of NPC.However,GWAS-identified genetic variants collectively account for only 8.2%of NPC heritability[1].The underlying inherited predisposition is largely undetermined.The strongest genetic signal for NPC consistently hits the human leukocyte antigen(HLA)region on 6p21[2].However,the highly polymorphic nature and complicated long-range linkage disequilibrium(LD)in the HLA region particularly obscure the causal variants driving the association.In addition,most genetic variants located in introns or intergenic regions.The causal genes mediating genetic effects on NPC risk have rarely been ascertained by GWAS alone.Yong-Qiao He Wen-Qiong Xue Dan-Hua Li Tong-Min Wang Zhi-Ming Mai Da-Wei Yang Chang-Mi Deng Ying Liao Wen-Li Zhang Ruo-Wen Xiao Luting Luo Hua Diao Xiating Tong Yanxia Wu Jiang-Bo Zhang Ting Zhou Xi-Zhao Li Pei-Fen Zhang Xiao-Hui Zheng Shao-Dan Zhang Ye-Zhu Hu Minzhong Tang Yuming Zheng Yonglin Cai Ellen T.Chang Zhe Zhang Guangwu Huang Su-Mei Cao Qing Liu Lin Feng Ying Sun Maria Li Lung Hans-Olov Adami Weimin Ye Tai-Hing Lam Wei-Hua Jia 2022Cancer Communications2022,42,9:0
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