Results 261 to 270 of about 44,030,521 (374)

Homeostasis of Gut Microbiota Protects against Susceptibility to Fungal Pneumonia

Advanced Science, EarlyView.
Fungal pneumonia induces inflammation, shown by heightened IL‐6, IL‐1β, TNF‐α levels and a growth in Staphylococcus in the alveolar flora. The gut microbiota, acting through the gut‐lung axis via blood, impacts fungal pneumonia susceptibility by altering lung metabolism and inflammatory responses.
Jian Ji, Yongli Ye, Jiadi Sun, Lina Sheng, Jinyou Li, Jin Yang, Bing Wu, Yuting Wang, Xingxing Gao, Liang Luo, Jianfeng Ping, Yinzhi Zhang, Xiulan Sun   +12 more
wiley   +1 more source

Polish Paralympic Sports in the Opinion of Athletes and Coaches in Retrospective Studies. [PDF]

Int J Environ Res Public Health, 2019
Sobiecka J, Plinta R, Kądziołka M, Gawroński W, Kruszelnicki P, Zwierzchowska A.   +5 more
europepmc   +1 more source

Tumor Extracellular Vesicles Aggravate Mitochondrial Damage in Myocardial Ischemia/Reperfusion Injury

Advanced Science, EarlyView.
This study reveals a novel mechanistic connection between cancer and ischemia/reperfusion (I/R)‐induced cardiac injury. The meta‐analysis demonstrates significantly higher incidence ratios of both all‐cause mortality and cardiovascular mortality in cancer patients undergoing percutaneous coronary intervention (PCI) compared to non‐cancer patients.
Zhongting Mei, Qian Liu, Guoxin Liu, Manjie Zhang, Jiaxin Fang, Xuting He, Xueqi He, Zhengwei Qin, Ronghua Liu, Chuang Liu, Hongyu Ji, Yuechao Dong, Ye Yuan, Baofeng Yang, Weijie Du   +14 more
wiley   +1 more source

Spinal cord compression in small cell lung cancer: a retrospective study of 610 patients

, 1989
JM Goldman, CM Ash, R L Souhami, DM Geddes, PG Harper, SG Spiro, J A Tobias   +6 more
openalex   +2 more sources

Risk factors associated with poor response to immunosuppressive therapy in acquired aplastic anemia: A meta-analysis of retrospective studies. [PDF]

Exp Ther Med, 2020
Wang J, Shen P, Wu X, Jin W.
europepmc   +1 more source

Targeting Intratumoral Copper Inhibits Tumor Progression via p62‐Mediated EZH2 Degradation and Potentiates Anti‐PD‐1 Immunotherapy in Oral Squamous Cell Carcinoma

Advanced Science, EarlyView.
The authors find that by targeting intratumoral copper, they can enhance p62‐mediated ubiquitination of EZH2 at the Ub‐K63 site by suppressing copper binding to SMURF2, an E3 ligase of EZH2, leading to its autophagic degradation. This mechanism suppressed OSCC progression and potentiated anti‐PD‐1 immunotherapy, highlighting a potential new therapeutic
Xiaohu Lin, Wanling Chen, Bo Li, Zhang Zhao, Zhonglin Yu, Xu‐Yun Zhao, Xuan Zhou, Zhien Feng, Chengzhong Lin, Wei Cao   +9 more
wiley   +1 more source

Multivariate analysis of prognostic factors in adult patients with medulloblastoma. Retrospective study of 156 patients [PDF]

, 1994
C. Carrié, Christine Lasset, Claire Alapetite, Jean-Philippe Maire, Christine Haie-Méder, S. Hoffstetter, M.C. Demaille, Christine Kerr, Jean-Philippe Wagner, Jean-Lebn Lagrange, Sok-Hun Seng, Yo Oye Chong Tao Kong Man, X. Murraciole, Nathalie Pinto   +13 more
openalex   +1 more source

The Evolutionary Trajectory and Prognostic Value of GITR+ Tregs Reprogramed by Tumor‐Intrinsic PD‐1/c‐MET Signaling in Pancreatic Cancer

Advanced Science, EarlyView.
In pancreatic ductal adenocarcinoma (PDAC), tumor‐intrinsic PD‐1 signaling activates the MET pathway, leading to the establishment of an immunosuppressive tumor microenvironment (TME). This MET‐driven signaling cascade promotes the selective accumulation of GITR+ regulatory T cells (Tregs), a highly immunosuppressive subset.
Jiande Han, Hanlin Yin, Taochen He, Junyi He, Zhenlai Jiang, Qiangda Chen, Zhihang Xu, Yuqi Xie, Yaolin Xu, Haibo Wang, Wenquan Wang, Wenchuan Wu, Yun Jin, Wenhui Lou, Jun Yu, Ning Pu, Liang Liu   +16 more
wiley   +1 more source

MALMPS: A Machine Learning‐Based Metabolic Gene Prognostic Signature for Stratifying Clinical Outcomes and Molecular Heterogeneity in Stage II/III Colorectal Cancer

Advanced Science, EarlyView.
Chen et al. identified a metabolic gene prognostic signature with machine‐learning framework and assessed the prognostic value in independent CRC cohorts. The metabolic signature subtypes are characterized by specific metabolic and proteomic characteristics, and associated with distinct molecular pathway and therapeutic potential.
Hao Chen, Ze Wang, Chenglong Sun, Yang Zhong, Yuan Liu, Yikun Li, Tongchao Zhang, Yuan Zhang, Xingyu Zhu, Leping Li, Feifei Teng, Ming Lu, Wei Chong   +12 more
wiley   +1 more source