论文期刊

取消

高级检索

检索历史清除

首页> Frontiers in immunology> Identification of anoikis-related molecular patterns and the novel risk model to predict prognosis, tumor microenvironment infiltration and immunotherapy response in bladder cancer.

Identification of anoikis-related molecular patterns and the novel risk model to predict prognosis, tumor microenvironment infiltration and immunotherapy response in bladder cancer.

导出 LinkOut

翻译打印收藏纠错

第一作者： Luochen,Zhu

第一单位： Department of Pharmacy, Nantong Tumor Hospital (Tumor Hospital Affiliated to Nantong University), Nantong, China.

作者： Luochen,Zhu ^[1] ; Feng,Xiao ^[2] ; Yi,Hou ^[3] ; Shenjun,Huang ^[4] ; Yanyan,Xu ^[1] ; Xiaohong,Guo ^[1] ; Xinwei,Dong ^[1] ; Chunlu,Xu ^[5] ; Xiaolei,Zhang ^[6] ; Haijuan,Gu ^[1]

作者单位： Department of Pharmacy, Nantong Tumor Hospital (Tumor Hospital Affiliated to Nantong University), Nantong, China. ^[1] Department of Pathology, Affiliated Nantong Hospital 3 of Nantong University (Nantong Third People's Hospital), Nantong, China. ^[2] Department of Pharmacy, People's Hospital of Zhongjiang, Deyang, China. ^[3] Department of Oncology, Nantong Tumor Hospital (Tumor Hospital Affiliated to Nantong University), Nantong, China. ^[4] Department of Andrology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China. ^[5] Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. ^[6]

关键词 PLOD1 anoikis bladder cancer prognosis tumor microenvironment

主题词膀胱肿瘤(Urinary Bladder Neoplasms);人类(Humans);肿瘤微环境(Tumor Microenvironment);失巢凋亡(Anoikis);预后(Prognosis);免疫疗法(Immunotherapy);男(雄)性(Male);女(雌)性(Female);细胞系, 肿瘤(Cell Line, Tumor);基因表达调控, 肿瘤(Gene Expression Regulation, Neoplastic);中年人(Middle Aged);老年人(Aged)

DOI 10.3389/fimmu.2024.1491808

PMID 39664392

发布时间 2024-12-13

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Frontiers in immunology

1491808页

相似文献

中文期刊
外文期刊
学位论文
会议论文

特别提示：本网站仅提供医学学术资源服务，不销售任何药品和器械，有关药品和器械的销售信息，请查阅其他网站。

客服热线：4000-115-888 转3 (周一至周五：8:00至17:00)
|
客服邮箱：yiyao@wanfangdata.com.cn

违法和不良信息举报电话：4000-115-888，举报邮箱：problem@wanfangdata.com.cn，举报专区

官方微信

万方医学小程序

关于我们网站地图知识产权

北京万方数据股份有限公司

万方数据电子出版社

京ICP证010071号

京公网安备11010802020237号

京ICP备08100800号-1

违法和不良信息举报电话：4000-115-888，举报邮箱：problem@wanfangdata.com.cn，举报专区

new翻译充值订阅收藏移动端

官方微信

万方医学小程序

调查问卷