Results 231 to 240 of about 352,972 (293)

CCT2 Promotes Prostate Cancer Progression Through EIF3F‐Dependent Stabilization of FASN

Advanced Science, EarlyView.
ABSTRACT Prostate cancer (PCa) is increasingly recognized to be driven by dysregulated lipid metabolism. Although fatty acid synthase (FASN) is highly expressed in PCa, the mechanisms governing FASN protein stability and its functional integration into oncogenic lipid metabolism remain poorly defined.
Shun Xu, Yifan Zhang, Haolin Li, Shengyu Zhao, Xiaoran Dai, Qili Xu, Mintian Fei, Chun Li, Zhihui Zou, Baojun Wang, Li Zhang, Hui Wang, Ligang Zhang, Chaozhao Liang   +13 more
wiley   +1 more source

Conventional Versus Traction-Assisted Endoscopic Submucosal Dissection for Esophageal, Gastric, and Colorectal Neoplasms: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. [PDF]

Cureus
Giacobo Nunes F, Gomes ILC, De Moura DTH, Dominguez JEG, Fornari F, Ribeiro IB, Peixoto de Oliveira GH, de Figueiredo SMP, Bernardo WM, Hourneaux de Moura EG.   +9 more
europepmc   +1 more source

Toward Nano‐Nutritional Medicine: A Remotely Activated Trans‐Vaccenic Acid‐Based Lipid Nanoparticles for Enhancing Immune Checkpoint Blockade Therapy

Advanced Science, EarlyView.
Eutectic mixtures from trans‐vaccenic acid (TVA) and stearic acid, which served as phase‐change material to encapsulate IR780, forming NIR‐responsive nanoparticles. IR780@TVA LNPs induce photothermal therapy and initiate adaptive anti‐tumor immunity.
Kang Liu, Yunlong Li, Hanmeng Liu, Peng Zhang, Mingjing Wang, Quanwei Sun, Wenshuo Yang, Zhengwei Song, Song Tan, Ye Yang, Peng She, Dengke Yin, Wei Shen   +12 more
wiley   +1 more source

CCL3 and IL‐7 Synergistically Enhance CAR‐T Efficacy in Solid Tumors

Advanced Science, EarlyView.
Synergistic delivery of CCL3 and IL‐7 by CAR‐T cells overcomes the immunosuppressive tumor microenvironment by enhancing cell infiltration, survival, and local immune reprogramming. This also establishes positive feedback that amplifies anti‐tumor activity and memory responses in both CAR‐T and endogenous T cells, presenting a robust therapeutic ...
Huanpeng Chen, Xiaoyun Luo, Huixin Gao, Yujing Ke, Yu Zhan, Xiaoting Xu, Xiaoxiao Xiong, Fengjiao Wei, Si Yang, Zhonghua Liu, Bolan Yu, Zhaofeng Huang, Yingjie Bian   +12 more
wiley   +1 more source

Risk Factors for Post-Endoscopic Submucosal Dissection Electrocoagulation Syndrome in Patients with Colorectal Neoplasms: A Multicenter, Large-Scale, Retrospective Cohort Study by the Honam Association for the Study of Intestinal Disease (HASID). [PDF]

J Clin Med
Song HY, Kim SJ, Lee J, Jin BC, Kim DH, Kim HS, Oh HH, Joo YE, Myung DS, Kim SW, Seo GS.   +10 more
europepmc   +1 more source

Tumor‐Specific Delivery of CD28 siRNA via Lyso‐PC C‐16 Modified Lipid Nanoparticles Overcomes Anti‐PD‐1 Resistance by Remodeling Tumor Microenvironment

Advanced Science, EarlyView.
This study develops 16:0 LPC‐modified lipid nanoparticles (LPC‐LNPs) with cancer cell specificity by exploiting altered tumor lipid metabolism. LPC‐LNPs encapsulating Cd28 small interfering RNA (LPC‐LNP‐Cd28) knock down cancer cell CD28 without affecting T cells, inflame the tumor microenvironment, and overcome anti‐PD‐1 resistance.
Yangyang Chai, Keyu Wang, Jiali Fang, Shaorui Jia, Yansong Shi, Wanfeng Gao, Xinpeng Liu, Jiaqiang Li, Zenghui Cui, Yazhi Qian, Xiaosu Chen, Dan Ding, Xuetao Cao   +12 more
wiley   +1 more source

Circulating Amino Acid Network Remodeling Reveals Systemic Metabolic Reprogramming Predictive of Colorectal Cancer Recurrence and Metastasis

Advanced Science, EarlyView.
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee, Jumi Kim, Taehan Yoon, So Hyun Kwon, Su Chan Park, Dohyun Chun, Dohyeong Kim, Eun Jung Park, Hyunwoo Kim, Ji Min Lee   +9 more
wiley   +1 more source

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

Advanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +1 more source

Single‐Cell RNA Editing Identifies T Cell ADAR1 as a Key Regulator of Immune Exhaustion and Anti‐PD‐1 Resistance in Colorectal Cancer

Advanced Science, EarlyView.
Single‐cell RNA editing analysis identifies ADAR1 as a regulator of dysfunctional T cell states in colorectal cancer. Elevated ADAR1 activity promotes T cell exhaustion and impairs antitumor immunity partly through TGF‐β‐SMAD signaling, contributing to anti‐PD‐1 resistance and highlighting T cell ADAR1 as a potential therapeutic target and biomarker ...
Da Kang, Song‐Zuo Xie, Yong‐Zhou Luo, Xin‐Pei Deng, Xi‐Rong Tan, Ze‐Geng Chen, Ling‐Xing Zeng, Gong Chen, Pei‐Rong Ding, Zhi‐Zhong Pan, Rong‐Xin Zhang   +10 more
wiley   +1 more source

CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning

Advanced Science, EarlyView.
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang, Zexi Chen, Yuanxiang Miao, Zuolin Shen, Deyu Cai, Shijie Tang, Yun Xue, Weifeng Guo, Hongbin Ji, Jian Liu, Kazuyuki Aihara, Luonan Chen   +11 more
wiley   +1 more source