Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Xin-Hua Yang"'
Autor:
Renjing Zhang, Yang Yang, Chunfang Hu, Mayan Huang, Wenjian Cen, Dongyi Ling, Yakang Long, Xin-Hua Yang, Boheng Xu, Junling Peng, Sujie Wang, Weijie Zhu, Mingbiao Wei, Jiaojiao Yang, Yuxia Xu, Xu Zhang, Jiangjun Ma, Fang Wang, Hongtu Zhang, Peiqing Ma, Xiaojun Zhu, Guohui Song, Li-Yue Sun, De-Shen Wang, Feng-Hua Wang, Yu-Hong Li, Sandro Santagata, Qin Li, Yan-Fen Feng, Ziming Du
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract Solitary fibrous tumors (SFTs) are rare mesenchymal tumors with unpredictable evolution and with a recurrence or metastasis rate of 10-40%. Current medical treatments for relapsed SFTs remain ineffective. Here, we identify potential therapeu
Externí odkaz:
https://doaj.org/article/40b85ffd685f4b10bbdd4c6df9fa3b0a
Autor:
Hai-Yun Wang, Ye Liu, Ling Deng, Kuntai Jiang, Xin-Hua Yang, Xiao-Yan Wu, Kai-Hua Guo, Fang Wang
Publikováno v:
Cancer Cell International, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background To date, data on the efficacy of targeted therapies for mucosal melanoma (MM) are limited. In this study, we analyzed genetic alterations according to the primary site of origin, which could provide clues for targeted therapy for
Externí odkaz:
https://doaj.org/article/bb4898e939b64ccbb12bba919be1acc7
Autor:
Chan Huang, Xuan Su, Da-Lei Zhou, Bo-Heng Xu, Qing Liu, Xiao Zhang, Tao Tang, Xin-Hua Yang, Zu-Lu Ye, Cai-Yun He
Publikováno v:
Molecular Therapy: Nucleic Acids, Vol 28, Iss , Pp 408-422 (2022)
Long non-coding RNAs (lncRNAs) act as important biological regulators in human cancers. The purpose of this study was to identify promising biomarkers for improved diagnosis and prognosis of papillary thyroid cancer (PTC). We analyzed the lncRNA expr
Externí odkaz:
https://doaj.org/article/466108fb3b4b4f38bbc80c49b0fa4958
Autor:
Li‐Yue Sun, Wen‐Jian Cen, Wen‐Ting Tang, Ya‐Kang Long, Xin‐Hua Yang, Xiao‐Meng Ji, Jiao‐Jiao Yang, Ren‐Jing Zhang, Fang Wang, Jian‐Yong Shao, Zi‐Ming Du
Publikováno v:
Cancer Medicine, Vol 10, Iss 19, Pp 6610-6617 (2021)
Abstract Background This study aimed to explore the prognostic value of tumor mutational burden (TMB) combined with smoking status in advanced non‐small cell lung cancer (NSCLC) patients who received immune checkpoint inhibitor therapy (anti PD‐1
Externí odkaz:
https://doaj.org/article/ebef9e9e9e66427daaa7042d49c79a65
Autor:
Cai‐Yun He, Miao‐Zhen Qiu, Xin‐Hua Yang, Da‐Lei Zhou, Jiang‐Jun Ma, Ya‐Kang Long, Zu‐Lu Ye, Bo‐Heng Xu, Qi Zhao, Ying Jin, Shi‐Xun Lu, Zhi‐Qiang Wang, Wen‐Long Guan, Bai‐Wei Zhao, Zhi‐Wei Zhou, Jian‐Yong Shao, Rui‐Hua Xu
Publikováno v:
Clinical and Translational Medicine, Vol 10, Iss 1, Pp 353-362 (2020)
Abstract Purpose To identify how Epstein‐Barr virus (EBV) status combined with molecular profiling predicts the prognosis of gastric cancer patients and their associated clinical actionable biomarkers. Experimental Design A next‐generation sequen
Externí odkaz:
https://doaj.org/article/d045367cbdbc4d269edb7604074b8fe2
Autor:
Hai‐Yun Wang, Fugen Li, Na Liu, Xiao‐Yun Liu, Xin‐Hua Yang, Yun‐Miao Guo, Jin‐Xin Bei, Yi‐Xin Zeng, Jian‐Yong Shao
Publikováno v:
Cancer Medicine, Vol 8, Iss 6, Pp 2705-2716 (2019)
Abstract The aim of this study was to use whole‐exome sequencing to derive a molecular classifier for nasopharyngeal carcinoma (NPC) and evaluate its clinical performance. We performed whole‐exome sequencing on 82 primary NPC tumors from Sun Yat
Externí odkaz:
https://doaj.org/article/f0f3677b4a1c40f3a4d3222453326aea
Autor:
Xuan Su, Hui-Chan He, Zu-Lu Ye, Da-Lei Zhou, Qing Liu, Xin-Hua Yang, Ya-Kang Long, Tao Tang, Jiang-Jun Ma, Bo-Heng Xu, Wei-Chao Chen, Cai-Yun He, An-Kui Yang
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
BackgroundFew reports from China provide confirmed evidence of the effectiveness of the larynx preservation strategy compared with surgery on the treatment of laryngeal and hypopharyngeal cancers. This study assessed the clinical outcomes of patients
Externí odkaz:
https://doaj.org/article/15589001624945d281b8f465357fbe45
Autor:
Yan-Fen Feng, Ling Deng, Hai-Yun Wang, Ying-Qing Li, Tao Tang, Fang Wang, Ya-Kang Long, Xin-Hua Yang, Xiao Zhang, Yuan He, Xu Zhang
Publikováno v:
Cancer Research and Treatment : Official Journal of Korean Cancer Association
Purpose Current variability in methods for tumor mutational burden (TMB) estimation and reporting demonstrates the urgent need for a homogeneous TMB assessment approach. Here, we compared TMB distributions in different cancer types using two customiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed983c75ccc0553931ad0b42543800fc
https://doi.org/10.4143/crt.2020.798
https://doi.org/10.4143/crt.2020.798
Autor:
Wen-Ting Tang, Xin-Hua Yang, Fang Wang, Wen-Jian Cen, Ren-Jing Zhang, Jiao-Jiao Yang, Xiao-Meng Ji, Jian Yong Shao, Ya-Kang Long, Ziming Du, Li-Yue Sun
Publikováno v:
Cancer Medicine, Vol 10, Iss 19, Pp 6610-6617 (2021)
Cancer Medicine
Cancer Medicine
Background This study aimed to explore the prognostic value of tumor mutational burden (TMB) combined with smoking status in advanced non‐small cell lung cancer (NSCLC) patients who received immune checkpoint inhibitor therapy (anti PD‐1/PD‐L1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30aa3c9328d2e1f703b5c82d1740ed60
https://doi.org/10.1002/cam4.4197
https://doi.org/10.1002/cam4.4197
Publikováno v:
The American Journal of Surgical Pathology
Supplemental Digital Content is available in the text.
Fetal adenocarcinoma of the lung (FLAC) is a rare lung tumor classified into low-grade fetal adenocarcinoma of the lung (LG-FLAC) and high-grade fetal adenocarcinoma of the lung (HG-FLAC). I
Fetal adenocarcinoma of the lung (FLAC) is a rare lung tumor classified into low-grade fetal adenocarcinoma of the lung (LG-FLAC) and high-grade fetal adenocarcinoma of the lung (HG-FLAC). I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9db4e75b524fa31dd23b6f3f8664e3bb
https://doi.org/10.1097/pas.0000000000001744
https://doi.org/10.1097/pas.0000000000001744