Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Zhaoze Guo"'
Autor:
Yuxuan Yang, Jia Yang, Nan Zhu, Haosen Qiu, Wenxiang Feng, Ying Chen, Xinhua Chen, Yuehong Chen, Wenbo Zheng, Min Liang, Tian Lin, Jiang Yu, Zhaoze Guo
Publikováno v:
Journal of Nanobiotechnology, Vol 21, Iss 1, Pp 1-17 (2023)
Abstract In recent years, immunotherapy has emerged as a promising strategy for treating solid tumors, although its efficacy remains limited to a subset of patients. Transforming non-responsive “cold” tumor types into immuno-responsive “hot”
Externí odkaz:
https://doaj.org/article/43d115de9fb442598d876147f2022bd1
Autor:
Zhaoze Guo, Han Zhang, Yiming Fu, Junjie Kuang, Bei Zhao, LanFang Zhang, Jie Lin, Shuhui Lin, Dehua Wu, Guozhu Xie
Publikováno v:
Cell Death Discovery, Vol 9, Iss 1, Pp 1-10 (2023)
Abstract In breast cancer, the most numerous stromal cells are cancer-associated fibroblasts (CAFs), which are associated with disease progression and chemoresistance. However, few studies have explored the function of CAFs in breast cancer cell radi
Externí odkaz:
https://doaj.org/article/1fb2606f3c384bcfaa7ff235accfefce
Autor:
Pengfei Li, Bingquan Lin, Zhian Chen, Pan Liu, Jiaqi Liu, Weili Li, Ping Liu, Zhaoze Guo, Chunlin Chen
Publikováno v:
Drug Delivery, Vol 29, Iss 1, Pp 161-173 (2022)
A major impediment in the development of nanoplatform-based ovarian cancer therapy is endo/lysosome entrapment. To solve this dilemma, a hollow mesoporous organosilica-based nanoplatform (HMON@CuS/Gd2O3) with a mild-temperature photothermal therapeut
Externí odkaz:
https://doaj.org/article/c1b7de065ffb480aba050eff9dbfb568
Autor:
Xiaoqi Zeng, Shanshan Jiang, Simin Ruan, Lijun Zhu, Huining Lian, Minfeng Liu, Zhaoze Guo, Jingyun Guo, Changsheng Ye, Yunjiu Cheng, Jianyu Dong
Publikováno v:
BMC Cancer, Vol 22, Iss 1, Pp 1-14 (2022)
Abstract Background Several studies have demonstrated that cardiovascular risk factors play a role in the etiology of breast cancer. However, the combined effect of cardiovascular risk factors on the risk of breast cancer is still uncertain. Methods
Externí odkaz:
https://doaj.org/article/a9f0eb15cc614f5bb236e6457560ee32
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 7332 (2023)
Power load forecasting plays an important role in power systems, and the accuracy of load forecasting is of vital importance to power system planning as well as economic efficiency. Power load data are nonsmooth, nonlinear time-series and “noisy”
Externí odkaz:
https://doaj.org/article/0e45c585b0734c549855fa23074b6337
Autor:
Jingyun Guo, Huining Lian, Minfeng Liu, Jianyu Dong, Zhaoze Guo, Jinlamao Yang, Changsheng Ye
Publikováno v:
Journal of International Medical Research, Vol 49 (2021)
Objective The objective was to explore the expression and potential functions of long noncoding RNA (lncRNA) and mRNAs in human breast cancer (BC). Methods Differentially expressed lncRNAs and mRNAs were identified and annotated in BC tissues by usin
Externí odkaz:
https://doaj.org/article/d0ad59733bfa47b39f3a7ca49ec618bd
Publikováno v:
Frontiers in Genetics, Vol 11 (2020)
Breast cancer has become one of the most serious disease threatening mankind health in the world. Accumulating studies indicated that circRNAs played an important role in the occurrence and progression of breast cancer, however, the roles of circRNA_
Externí odkaz:
https://doaj.org/article/73360c8d94e941cfa9f4b1864c444e2c
Autor:
Xiaoli Feng, Tian Lin, Dong Chen, Zhiyang Li, Qiuping Yang, Huiting Tian, Yao Xiao, Mingzhen Lin, Min Liang, Weihong Guo, Peng Zhao, Zhaoze Guo
Publikováno v:
Acta Biomaterialia. 160:211-224
Autor:
Guozhu Xie, Han zhnaghan, Jieling Zheng, Yiming Fu, Jing Ling, ZiShen Liu, Xiaotong Lin, Xin Dong, Yao Sun, Tingting Tan, Zhaoze Guo
Publikováno v:
Breast Cancer Research and Treatment. 198:437-446
Purpose: POU3F2 is associated with malignant behaviors and poor prognosis in cancer. However, the function and mechanism of POU3F2 in breast cancer remains to be elucidated. The purpose of our study was to explore the role of POU3F2 in triple-negativ
Publikováno v:
Applied Sciences; Volume 13; Issue 12; Pages: 7332
Power load forecasting plays an important role in power systems, and the accuracy of load forecasting is of vital importance to power system planning as well as economic efficiency. Power load data are nonsmooth, nonlinear time-series and “noisy”