Efficacy and safety of cadonilimab (PD-1/CTLA-4 bispecific) in combination with chemotherapy in anti-PD-1-resistant recurrent or metastatic nasopharyngeal carcinoma: a single-arm, open-label, phase 2 trial.

Authors: Jiang, Yaofei, Bei, Weixin, Wang, Lin, Lu, Nian, Xu, Cheng, Liang, Hu, Ke, Liangru, Ye, Yanfang, He, Shuiqing, Dong, Shuhui, Liu, Qin, Zhang, Chuanrun, Wang, Xuguang, Xia, Weixiong, Zhao, Chong, Huang, Ying, Xiang, Yanqun, Liu, Guoying

Source: BMC Medicine; 3/11/2025, Vol. 23 Issue 1, p1-11, 11p

Subject Terms: NASOPHARYNX cancer, PROGRAMMED cell death 1 receptors, SAFETY, TREATMENT effectiveness, CYTOTOXIC T lymphocyte-associated molecule-4, CLINICAL trials, CANCER chemotherapy, IMMUNE checkpoint inhibitors

The contrast-enhanced MRI can be substituted by unenhanced MRI in identifying and automatically segmenting primary nasopharyngeal carcinoma with the aid of deep learning models: An exploratory study in large-scale population of endemic area

Authors: Deng, Yishu, Li, Chaofeng, Lv, Xing, Xia, Weixiong, Shen, Lujun, Jing, Bingzhong, Li, Bin, Guo, Xiang, Sun, Ying, Xie, Chuanmiao, Ke, Liangru

Source: In Computer Methods and Programs in Biomedicine April 2022 217

Machine Learning for Dynamic Prognostication of Patients With Hepatocellular Carcinoma Using Time-Series Data: Survival Path Versus Dynamic-DeepHit HCC Model.

Authors: Shen, Lujun, Jiang, Yiquan, Zhang, Tao, Cao, Fei, Ke, Liangru, Li, Chen, Nuerhashi, Gulijiayina, Li, Wang, Wu, Peihong, Li, Chaofeng, Zeng, Qi, Fan, Weijun

Source: Cancer Informatics; 10/16/2024, p1-10, 10p

Subject Terms: DYNAMIC models, HEPATOCELLULAR carcinoma, MACHINE learning, DYNAMIC testing, PROGNOSIS

Deep learning for risk prediction in patients with nasopharyngeal carcinoma using multi-parametric MRIs

Authors: Jing, Bingzhong, Deng, Yishu, Zhang, Tao, Hou, Dan, Li, Bin, Qiang, Mengyun, Liu, Kuiyuan, Ke, Liangru, Li, Taihe, Sun, Ying, Lv, Xing, Li, Chaofeng

Source: In Computer Methods and Programs in Biomedicine December 2020 197

Development of a self-constrained 3D DenseNet model in automatic detection and segmentation of nasopharyngeal carcinoma using magnetic resonance images

Authors: Ke, Liangru, Deng, Yishu, Xia, Weixiong, Qiang, Mengyun, Chen, Xi, Liu, Kuiyuan, Jing, Bingzhong, He, Caisheng, Xie, Chuanmiao, Guo, Xiang, Lv, Xing, Li, Chaofeng

Source: In Oral Oncology November 2020 110

Prognostic value and the potential role of treatment options for cervical lymph node necrosis in nasopharyngeal carcinoma

Authors: Liu, Kuiyuan, Lin, Siting, Ke, Liangru, Xia, Weixiong, Zhang, Chun, Li, Jianpeng, Gao, Mingyong, Qiang, Mengyun, Chen, Xi, Liu, Jia, Xie, Chuanmiao, Guo, Xiang, Lv, Xing

Source: In Oral Oncology October 2020 109

A deep survival analysis method based on ranking

Authors: Jing, Bingzhong, Zhang, Tao, Wang, Zixian, Jin, Ying, Liu, Kuiyuan, Qiu, Wenze, Ke, Liangru, Sun, Ying, He, Caisheng, Hou, Dan, Tang, Linquan, Lv, Xing, Li, Chaofeng

Source: In Artificial Intelligence In Medicine July 2019 98:1-9

Genome-wide CRISPR-based gene knockout screens reveal cellular factors and pathways essential for nasopharyngeal carcinoma

Authors: Wang, Chong, Jiang, Sizun, Ke, Liangru, Zhang, Luyao, Li, Difei, Liang, Jun, Narita, Yohei, Hou, Isabella, Chen, Chen-hao, Wang, Liangwei, Zhong, Qian, Ling, Yihong, Lv, Xing, Xiang, Yanqun, Guo, Xiang, Teng, Mingxiang ^**, Tsao, Sai-Wah, Gewurz, Benjamin E., Zeng, Mu-Sheng, Zhao, Bo

Source: In Journal of Biological Chemistry 21 June 2019 294(25):9734-9745

Resveratrol promotes white adipocytes browning and improves metabolic disorders in Sirt1‐dependent manner in mice

Authors: Li, Zilun, Zhang, Zili, Ke, Liangru, Sun, Yanshuang, Li, Wenxue, Feng, Xiang, Zhu, Wei, Chen, Sifan

Source: FASEB journal. 34(3):4527-4539

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100110341836.0x000001&indx=1&recIds=ETOCvdc_100110341836.0x000001

Resveratrol improves glucose uptake in insulin-resistant adipocytes via Sirt1

Authors: Chen, Sifan, Zhao, Zhongliang, Ke, Liangru, Li, Zilun, Li, Wenxue, Zhang, Zili, Zhou, Ying, Feng, Xiang, Zhu, Wei

Source: In The Journal of Nutritional Biochemistry May 2018 55:209-218

Nasopharyngeal carcinoma super-enhancer–driven ETV6 correlates with prognosis

Authors: Ke, Liangru, Zhou, Hufeng, Wang, Chong, Xiong, Geng, Xiang, Yanqun, Ling, Yihong, Khabir, Abdelmajid, Tsao, George S., Zeng, Yixin, Zeng, Musheng, Busson, Pierre, Kieff, Elliott, Guo, Xiang, Zhao, Bo

Source: Proceedings of the National Academy of Sciences of the United States of America, 2017 Sep 01. 114(36), 9683-9688.

Access URL: https://www.jstor.org/stable/26487626

The Epstein-Barr Virus Regulome in Lymphoblastoid Cells

Authors: Jiang, Sizun, Zhou, Hufeng, Liang, Jun, Gerdt, Catherine, Wang, Chong, Ke, Liangru, Schmidt, Stefanie C.S., Narita, Yohei, Ma, Yijie, Wang, Shuangqi, Colson, Tyler, Gewurz, Benjamin, Li, Guoliang, Kieff, Elliott, Zhao, Bo

Source: In Cell Host & Microbe 11 October 2017 22(4):561-573

Platinum-based concurrent chemotherapy remains the optimal regimen for nasopharyngeal carcinoma: a large institutional-based cohort study from an endemic area

Authors: Yu, Yahui, Liang, Hu, Lv, Xing, Ke, Liangru, Qiu, Wenze, Huang, Xinjun, Liu, Guoying, Li, Wangzhong, Guo, Xiang, Xiang, Yanqun, Xia, Weixiong

Source: Journal of cancer research and clinical oncology. 144(11):2231-2243

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100118338870.0x000001&indx=1&recIds=ETOCvdc_100118338870.0x000001

Development and validation of an endoscopic images‐based deep learning model for detection with nasopharyngeal malignancies

Authors: Li, Chaofeng, Jing, Bingzhong, Ke, Liangru, Li, Bin, Xia, Weixiong, He, Caisheng, Qian, Chaonan, Zhao, Chong, Mai, Haiqiang, Chen, Mingyuan, Cao, Kajia, Mo, Haoyuan, Guo, Ling, Chen, Qiuyan, Tang, Linquan, Qiu, Wenze, Yu, Yahui, Liang, Hu, Huang, Xinjun, Liu, Guoying, Li, Wangzhong, Wang, Lin, Sun, Rui, Zou, Xiong, Guo, Shanshan, Huang, Peiyu, Luo, Donghua, Qiu, Fang, Wu, Yishan, Hua, Yijun, Liu, Kuiyuan, Lv, Shuhui, Miao, Jingjing, Xiang, Yanqun, Sun, Ying, Guo, Xiang, Lv, Xing

Source: Cancer communications. 38(1):1-11

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100097861206.0x000001&indx=1&recIds=ETOCvdc_100097861206.0x000001

A prognostic model predicts the risk of distant metastasis and death for patients with nasopharyngeal carcinoma based on pre-treatment interleukin 6 and clinical stage

Authors: Ke, Liangru, Xiang, Yanqun, Xia, Weixiong, Yang, Jing, Yu, Yahui, Ye, Yanfang, Liang, Hu, Guo, Xiang, Lv, Xing

Source: In Clinical Immunology March 2016 164:45-51

Ribosome Protein L4 is essential for Epstein–Barr Virus Nuclear Antigen 1 function

Authors: Shen, Chih-Lung, Liu, Cheng-Der, You, Ren-In, Ching, Yung-Hao, Liang, Jun, Ke, Liangru, Chen, Ya-Lin, Chen, Hong-Chi, Hsu, Hao-Jen, Liou, Je-Wen, Kieff, Elliott, Peng, Chih-Wen

Source: Proceedings of the National Academy of Sciences of the United States of America, 2016 Feb . 113(8), 2229-2234.

Access URL: https://www.jstor.org/stable/26467835

The investigation of reduced field-of-view diffusion-weighted imaging (DWI) in patients with nasopharyngeal carcinoma: comparison with conventional DWI.

Authors: Meng, Tiebao, Liu, Huiming, Liu, Jinbo, Wang, Feixiang, Xie, Chuanmiao, Ke, Liangru, He, Haoqiang

Source: Acta Radiologica; Jun2023, Vol. 64 Issue 6, p2118-2125, 8p

Subject Terms: ECHO-planar imaging, DIFFUSION magnetic resonance imaging, NASOPHARYNX cancer, MAGNETIC resonance imaging, NASOPHARYNX tumors, SIGNAL-to-noise ratio, DIFFUSION coefficients

SurvivalPath:A R package for conducting personalized survival path mapping based on time-series survival data.

Authors: Shen, Lujun, Mo, Jinqing, Yang, Changsheng, Jiang, Yiquan, Ke, Liangru, Hou, Dan, Yan, Jingdong, Zhang, Tao, Fan, Weijun

Source: PLoS Computational Biology; 1/6/2023, Vol. 19 Issue 1, p1-12, 12p, 3 Diagrams, 1 Graph

Subject Terms: SOURCE code, HEPATOCELLULAR carcinoma, MEDICAL records, MEDICAL screening, CANCER patients, SURVIVAL analysis (Biometry)

A Novel Fully Automated MRI-Based Deep-Learning Method for Segmentation of Nasopharyngeal Carcinoma Lymph Nodes

Authors: Deng, Yishu, Hou, Dan, Li, Bin, Lv, Xing, Ke, Liangru, Qiang, Mengyun, Li, Taihe, Jing, Bingzhong, Li, Chaofeng

Source: Journal of Medical and Biological Engineering; October 2022, Vol. 42 Issue: 5 p604-612, 9p

A Prognostic Predictive System Based on Deep Learning for Locoregionally Advanced Nasopharyngeal Carcinoma.

Authors: Qiang, Mengyun, Li, Chaofeng, Sun, Yuyao, Sun, Ying, Ke, Liangru, Xie, Chuanmiao, Zhang, Tao, Zou, Yujian, Qiu, Wenze, Gao, Mingyong, Li, Yingxue, Li, Xiang, Zhan, Zejiang, Liu, Kuiyuan, Chen, Xi, Liang, Chixiong, Chen, Qiuyan, Mai, Haiqiang, Xie, Guotong, Guo, Xiang

Source: JNCI: Journal of the National Cancer Institute; May2021, Vol. 113 Issue 5, p606-615, 10p

Subject Terms: SIGNAL convolution, DEEP learning, NASOPHARYNX cancer, NASOPHARYNX tumors, MAGNETIC resonance imaging, CONVOLUTIONAL neural networks, THERAPEUTIC use of antineoplastic agents, RESEARCH, RESEARCH methodology, PROGNOSIS, RETROSPECTIVE studies, EVALUATION research, COMPARATIVE studies