Results 161 to 170 of about 8,425 (211)

CALB2 is a Mechanoresistance Gene in Metastatic Prostate Cancer

Advanced Science, EarlyView.
Prostate cancer cell lines of differing origins were cultured over many passages while being subjected to semi‐lethal levels of fluid shear stress, representing the harsh mechanical environment these cells are subjected to in the circulation during the process of distant metastasis.
Abigail R. Fabiano, Allen C. Luo, Paul Taufalele, Jenna A. Dombroski, Ehsan Aalaei, Schyler J. Rowland, Melissa S. Cantú, Alexandria T. Carter, Samantha V. Knoblauch, Cynthia A. Reinhart‐King, Michael R. King   +10 more
wiley   +1 more source

Targeted β‐Glucan‐Veiled Oral Apremilast Nanotherapy Modulates Key Dysbiosis‐Associated Gut Microbiota and Alleviates Ulcerative Colitis‐Associated Anxiety, Depression, and Neuropsychiatric Behaviors

Advanced Science, EarlyView.
This study introduces β‐glucan‐shielded apremilast laden nanomicelles that withstand gastrointestinal degradation, selectively accumulate in inflamed colon tissue, and modulate the microbiota–gut–brain axis. The formulation restores barrier integrity, reduces systemic and neuroinflammation, and improves anxiety‐ and depression‐like behaviors in colitis
Chandrashekhar Jori, Ahmed Shaney Rehman, Taruna Lamba, Anas Ahmad, Jattin Kumar, Aneesh Ali, Ajesh Joshi, Ashraf Ali, Suhel Parvez, Javed N. Agrewala, Rehan Khan   +10 more
wiley   +1 more source

Histone H3K18 Lactylation Promotes the Malignant Progression of Wilms Tumor via a PSRC1/AKT/HIF‐1α Positive Feedback Loop

Advanced Science, EarlyView.
In nephroblastoma, aberrant glycolysis drives lactate accumulation, which elevates histone H3K18 lactylation via p300. Lactylation of the PSRC1 promoter activates its transcription. PSRC1 competitively binds AKT, relieving PTEN‐mediated inhibition and triggering AKT/mTOR/HIF‐1α signaling.
Yanping Wang, Hongjie Gao, Bifei Zhang, Xuetian Li, Ding Li, Aihua Cao, Fengyin Sun   +6 more
wiley   +1 more source

Large‐scale Whole‐Exome Sequencing Defines the Protein‐Coding Architecture of Retinal Structure, Visual Function, and Major Blinding Diseases

Advanced Science, EarlyView.
Large‐scale whole‐exome sequencing in 356,982 UK Biobank participants defines the protein‐coding architecture of retinal structure, visual function, and major blinding diseases. Pleiotropic genes, including CFI, C3, and RIOX1, bridge multiple retinal phenotypes, while experimental validation of FYB2 implicates RPE barrier dysfunction, providing ...
Jianqing Li, Yijun Ge, Jingxiao Du, Liu Yang, Bangsheng Wu, Chenyue Hang, Mengxi Shen, Yimin Mao, Ting Zhang, Qiyu Bo, Tianyuan Zhao, Yutian Jiao, Yazhi Wang, Shunxiang Gao, Jieqiong Chen, Junran Sun, Tong Li, Huixun Jia, Yang Dou, Wei Cheng, Xiaoling Wan, Jintai Yu, Xiaodong Sun, Bai Lu   +23 more
wiley   +1 more source

Generating survival times to simulate Cox proportional hazards models [PDF]

Statistics in Medicine, 2005
Abstract Simulation studies present an important statistical tool to investigate the performance, properties and adequacy of statistical models in pre‐specified situations. One of the most important statistical models in medical research is the proportional hazards model of Cox. In this paper, techniques to generate survival times for
Thomas Augustin, Ralf Bender
exaly   +4 more sources

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Model inconsistency, illustrated by the cox proportional hazards model

Statistics in Medicine, 1995
AbstractWe consider problems involving the comparison of two or more treatments where we have the opportunity to adjust for relevant covariates either conditionally in a regression model or implicitly in repeated measures data, for example, in crossover trials. It is seen that for data arising from non‐Normal distributions there is the possibility that
I, Ford, J, Norrie, S, Ahmadi
openaire   +2 more sources

The Cox Proportional Hazards Model

2009
exaly   +2 more sources

The Cox Proportional Hazards Model

2016
The proportional hazards (PH) or Cox model holds on E, if the hazard rate has the form $$\begin{aligned} \lambda _{x(\cdot )}(t) = r\{x(t)\} \;\lambda _0(t), \quad x(\cdot ) \in E, \end{aligned}$$ where \(\lambda _0(\cdot )\) is an unspecified baseline hazard rate function , and \(r(\cdot )\) is a positive function on E. The function \(r(\cdot )\
Mikhail Nikulin, Hong-Dar Isaac Wu
openaire   +1 more source

Functional Form Diagnostics for Cox's Proportional Hazards Model

Biometrics, 2004
Summary. We propose a new type of residual and an easily computed functional form test for the Cox proportional hazards model. The proposed test is a modification of the omnibus test for testing the overall fit of a parametric regression model, developed byStute, González Manteiga, and Presedo Quindimil(1998,Journal of the American Statistical ...
León, Larry F., Tsai, Chih-Ling
openaire   +3 more sources

Models of Cox’s Proportional Hazards

Mathematica Applicanda, 2011
The paper presents Cox proportional hazards model, its properties and methods of its parameters estimation. It is widely applicable in survival analysis – in prediction of survival chances of some objects (usually patients in medical studies). The essential advantage of the model is allowing of incomplete data, which often appear in studies – both in ...
openaire   +1 more source