Yingxuan Chen
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Fusobacterium nucleatum drives colorectal cancer progression through the circPTBP 3/ miR-760 / PUM1 axis
Abstract Circular RNAs (circRNAs) perform critical functions in cancer biology, commonly serving as microRNA (miRNA) sponges to modulate gene expression. Nevertheless, their participation in gut microbiota-driven colorectal cancer (CRC) has yet to be substantially investigated. Fusobacterium nucleatum (F. nucleatum), a well-recognized oncogenic bacterium in the human gut, has been implicated in CRC development, but the underlying mechanisms are not fully defined.
Candida albicans synergizes with Fusobacterium nucleatum in colorectal cancer progression via the Flo9-RadD interaction
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Keywords Fusobacterium nucleatum Candida albicans colorectal cancer microbiota fungi Flo9 RadD Get full text access Log in, subscribe or purchase for full access. References 1. Helmink, B.A. ∙ Khan, M.A.W. ∙ Hermann, A. ... The microbiome, cancer, and cancer therapy Nat. Med. 2019; 25:377-388 2. Sepich-Poore, G.D. ∙ Zitvogel, L. ∙ Straussman, R. ... The microbiome and human cancer Science. 2021; 371, eabc4552 3. Garrett, W.S. The gut microbiota and colon cancer Science. 2019; 364:1133-1135 4. Hanahan, D.
By Jialu Li, Chenyi Zhang, Xinhua Huang, Hongxiang Sun, Hongzhi Liu, Lu Zhang, Ningbo Wu, Yuanhong Xie, Jingjing Qi, Xiaoxu Leng, Yun Cui, Ziran Kang, Zhuolei Kou, Ning-Ning Liu, Pengfei Lan, Beilei Xuan, Dengfeng Cao, Guo-Xiang Cai, Yingxuan Chen, Jianfeng Chen, Zhaoyuan Liu, Florent Ginhoux, Changbin Chen, Bing Su, Jing-Yuan Fang
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Cell Press
Verified
Systematic evaluation of the impact of lung segmentation methods on 4DCT-ventilation imaging using a large patient database
ABSTRACT A novel form of lung functional imaging applied for functional avoidance radiotherapy has been developed that uses 4DCT data and image processing techniques to calculate lung ventilation (4DCT-ventilation). Lung segmentation is a common step to define a region of interest for 4DCT ventilation generation. The purpose of this study was to quantitatively evaluate the sensitivity of 4DCT-ventilation imaging using different lung segmentation methods.
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