Prediction of non-muscle invasive bladder cancer recurrence using deep learning of pathology image

Autor: Guang-Yue Wang, Jing-Fei Zhu, Qi-Chao Wang, Jia-Xin Qin, Xin-Lei Wang, Xing Liu, Xin-Yu Liu, Jun-Zhi Chen, Jie-Fei Zhu, Shi-Chao Zhuo, Di Wu, Na Li, Liu Chao, Fan-Lai Meng, Hao Lu, Zhen-Duo Shi, Zhi-Gang Jia, Cong-Hui Han

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)

Abstract We aimed to build a deep learning-based pathomics model to predict the early recurrence of non-muscle-infiltrating bladder cancer (NMIBC) in this work. A total of 147 patients from Xuzhou Central Hospital were enrolled as the training cohort

Externí odkaz: https://doaj.org/article/dff663ef0c3c4716a9060e5890293bfd

Integrated single‐cell and spatial transcriptomic profiling reveals higher intratumour heterogeneity and epithelial–fibroblast interactions in recurrent bladder cancer

Autor: Zhen‐Duo Shi, Zhuo Sun, Zuo‐Bin Zhu, Xing Liu, Jun‐Zhi Chen, Lin Hao, Jie‐Fei Zhu, Kun Pang, Di Wu, Yang Dong, Yu‐Fei Liu, Wei‐Hua Chen, Qing Liang, Shi‐Chao Zhuo, Cong‐Hui Han

Publikováno v: Clinical and Translational Medicine, Vol 13, Iss 7, Pp n/a-n/a (2023)

Abstract Background Recurrent bladder cancer is the most common type of urinary tract malignancy; nevertheless, the mechanistic basis for its recurrence is uncertain. Innovative technologies such as single‐cell transcriptomics and spatial transcrip

Externí odkaz: https://doaj.org/article/336ecc3905af4a5baef9c9ddd2f7d953

SO039A20/TNFAIP3 DEFICIENCY LEADS TO PODOCYTE INJURY IN MRL/LPR MICE BY UP-REGULATING UBIQUITIN C - TERMINAL HYDROLASE L1

Autor: Shi-Chao Zhuo, Lu-Xi Zou, Ling Sun, Mao-Jie Chen, Jie Wang

Publikováno v: Nephrology Dialysis Transplantation. 32:iii23-iii23

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d614c57217fa21e846e03e2b8c0edf01
https://doi.org/10.1093/ndt/gfx106.so039

Prediction of non-muscle invasive bladder cancer recurrence using deep learning of pathology image.

Autor: Wang, Guang-Yue^1,2, Zhu, Jing-Fei³, Wang, Qi-Chao¹, Qin, Jia-Xin^2,4, Wang, Xin-Lei^2,4, Liu, Xing^2,4, Liu, Xin-Yu^2,4, Chen, Jun-Zhi^2,4, Zhu, Jie-Fei⁵, Zhuo, Shi-Chao⁵, Wu, Di⁵, Li, Na⁶, Chao, Liu^7,8, Meng, Fan-Lai⁹, Lu, Hao¹⁰, Shi, Zhen-Duo^2,4,7,10, Jia, Zhi-Gang³ zhgjia@jsnu.edu.cn, Han, Cong-Hui^2,4,7,10 hanconghuidoctor@vip.qq.com

Publikováno v: Scientific Reports. 8/15/2024, Vol. 14 Issue 1, p1-11. 11p.

Integrated single‐cell and spatial transcriptomic profiling reveals higher intratumour heterogeneity and epithelial–fibroblast interactions in recurrent bladder cancer.

Autor: Shi, Zhen‐Duo^1,2,3,4 (AUTHOR), Sun, Zhuo⁵ (AUTHOR), Zhu, Zuo‐Bin⁶ (AUTHOR), Liu, Xing¹ (AUTHOR), Chen, Jun‐Zhi¹ (AUTHOR), Hao, Lin¹ (AUTHOR), Zhu, Jie‐Fei⁷ (AUTHOR), Pang, Kun¹ (AUTHOR), Wu, Di⁷ (AUTHOR), Dong, Yang¹ (AUTHOR), Liu, Yu‐Fei⁸ (AUTHOR), Chen, Wei‐Hua⁹ (AUTHOR), Liang, Qing¹ (AUTHOR), Zhuo, Shi‐Chao⁷ (AUTHOR), Han, Cong‐Hui^1,2,3 (AUTHOR) hanchdoctor@st.btbu.edu.cn

Publikováno v: Clinical & Translational Medicine. Jul2023, Vol. 13 Issue 7, p1-18. 18p.