Results 251 to 260 of about 734,282 (319)

Magnetic resonance imaging radiomics based on artificial intelligence is helpful to evaluate the prognosis of single hepatocellular carcinoma

Jing Zhou, Daofeng Yang, Hao Tang
openalex   +1 more source

A CASE OF MIXED TYPE LIVER CANCER (COMBINED HEPATOCELLULAR CARCINOMA AND CHOLANGIOCARCINOMA) SHOWING EARLY POSTOPERATIVE RECURRENCE

, 2007
Shinichi Nakanuma, Nobuhiko Ueda, Koichi Okamoto, Toshiaki Yasui, T Nakano   +4 more
openalex   +2 more sources

Integrin β3 Orchestrates Hepatic Steatosis via a Novel CD36‐Dependent Lipid Uptake Complex

Advanced Science, EarlyView.
In MASH, ITGB3 recruits LYN and drives its ubiquitin‐proteasomal degradation via phosphorylation. This relieves DHHC5 inhibition, enabling ITGB3/DHHC5/CD36 complex assembly to enhance CD36 palmitoylation and fatty acid uptake, thereby exacerbating disease. Targeting ITGB3 blocks this pathogenic axis and ameliorates MASH.
Ying Zhang, Lei Dai, Zhongquan Cui, Ye Zhou, Wenyuan Dong, Hongcheng Jiang, Mengwen Wang, Xiaodan Zhong, Wei Dong, Zhang Yue, Thati Madhusudhan, Hongjie Wang, Xiong Zhong Ruan, Hesong Zeng   +13 more
wiley   +1 more source

Therapeutic Potential of Nanoscale Metal-Organic Frameworks in Hepatocellular Carcinoma. [PDF]

Nanomaterials (Basel)
Tutunchi H, Nabipour H, Rohani S.
europepmc   +1 more source

Prediction of Ki-67 expression in hepatocellular carcinoma with machine learning models based on intratumoral and peritumoral radiomic features

Ziwei Zhu, Jun Wu, Yang Guo, Qing Ren, Dongning Li, Zeyu Li, Lei Han   +6 more
openalex   +1 more source

The Gut Commensal Butyricimonas Virosa Modulates Gut Microbiota‐Dependent Thiamine Metabolism and Attenuates Mouse Steatotic Liver Disease

Advanced Science, EarlyView.
This study reveals that dietary stachyose enriches Butyricimonas virosa, effectively attenuating metabolic dysfunction‐associated steatotic liver disease (MASLD). Mechanistically, B. virosa enhances gut thiamine monophosphate synthesis, which elevates hepatic thiamine pyrophosphate levels.
Ningning He, Haoyu Wang, Zizhen Yang, Hui Li, Bei Liu, Kaiwei Chen, Zhinan Wu, Xinnan Zhao, Hewei Liang, Mengmeng Wang, Xiaofang Li, Yiyi Zhong, Haifeng Zhang, Liang Xiao, Karsten Kristiansen, Jixing Peng, Yuanqiang Zou, Shangyong Li   +17 more
wiley   +1 more source

Mechanisms of ferroptosis in primary hepatocellular carcinoma and progress of artificial intelligence-based predictive modeling in hepatocellular carcinoma. [PDF]

World J Gastroenterol
Han JF, Jia ZY, Fan X, Zhao XY, Cheng LY, Xia YX, Ji XR, Zang WQ.   +7 more
europepmc   +1 more source

Peer Review #1 of "Pathways of topological rank analysis (PoTRA): a novel method to detect pathways involved in hepatocellular carcinoma (v0.1)"

, 2018
Chaoxing Li, Li Liu, Valentin Dinu, R Albert, R Anglani, T Creanza, V Liuzzi, A Piepoli, A Panza, A Andriulli, N Ancona, A Appert-Collin, P Hubert, G Crmel, A Bennasroune, K Baghy, P Ttrai, E Regs, I Kovalszky, S Barthel, R Medvedev, T Heinrich, S Bchner, N Kettern, E Hildt, P Bartlett, A Antony, A Agarwal, M Hilly, V Prince, L Combettes, J Hoek, L Gaspers, R Beasley, Y Benjamini, Y Hochberg, M Bourdakou, E Athanasiadis, G Spyrou, M Burotto, V Chiou, J-M Lee, E Kohn, A Chdotal, G Kerjan, C Moreau-Fauvarque, H-S Cho, D Leahy, Y Choi, C Kendziorski, V Chopin, C Lagadec, R-A Toillon, Le Bourhis, X, G Csrdi, T Nepusz, P Dayalu, R Albin, J Downward, A Eijkelenboom, Bmt Burgering, Elia Broekaert, D Christen, S Boon, R Radaelli, E Orth, M Verfaillie, C Grnewald, Tgp Fendt, S-M, A Fajardo, G Piazza, H Tinsley, L Flintoft, M Franchini, P Mannucci, Z Fu, D Tindall, A De La Fuente, A Geier, J Goeman, P Bhlmann, V Golubovskaya, F Kweh, W Cance, N Goossens, Y Hoshida, D Gross, Apj Van Den Heuvel, M Birnbaum, D Gruol, K Parsons, D Guertin, D Sabatini, G Hautbergue, L Hindorff, E Gillanders, T Manolio, Y Hoshida   +99 more
openalex   +2 more sources

MR‐DELTAnet: A Longitudinal MRI‐Transformer Model Predicting Pathological Complete Response and Revealing Immune Microenvironment via scRNA‐seq in Locally Advanced Rectal Cancer

Advanced Science, EarlyView.
The MR‐DELTAnet model utilizes longitudinal MRI to predict treatment response after neoadjuvant chemoradiotherapy in locally rectal cancer patients, accurately identifying patients likely to achieve pathological complete response for personalized management.
Wuteng Cao, Huaxian Chen, Jiao Li, Yihui Zheng, Liqing Xie, Guozhong Xiao, Zeyan Wang, Fen Yuan, Junhong Chen, Chongbao Sun, Jing Dai, Jinping Zeng, Xinhua Wang, Lei Wu, Hongcheng Lin   +14 more
wiley   +1 more source

Transcriptomic Characterization of North Queensland Hepatocellular Carcinoma.

Oncology
Gillman R, Wankell M, Sun EJ, Ben David M, Karamatic R, Palamuthusingam P, Field MA, Schmitz U, Hebbard L.   +8 more
europepmc   +1 more source