Results 231 to 240 of about 614,587 (286)

NAT10‐Mediated ac4C Modification of circANKRD12 Reprograms the Tumor Microenvironment

Advanced Science, EarlyView.
NAT10‐dependent acetylation of circANKRD12 drives translation of the circANKRD12_354aa protein, which binds HDAC2 to stabilize c‐Myc via deubiquitination, promoting multiple myeloma (MM) cell proliferation. Concurrently, the circANKRD12‐HDAC2 axis suppresses H3ac‐mediated transcription of IFN‐γ, TNF‐α, and GZMB in NK cells, leading to NK cell ...
Jiale Zhang, Hui Shi, Chen Wang, Zihao Liu, Lianxin Zhou, Xinyu Lv, Mengjie Guo, Ye Yang, Chunyan Gu   +8 more
wiley   +1 more source

Limitations of applying the COX proportional hazards model to glioma studies

Journal of Translational Medicine
Jihao Xue, Yitian Chen, Cheng Xue, Qijia Yin, Rui Lai, Ligang Chen, Ming Wang   +6 more
doaj   +1 more source

Mitochondrial Carrier SLC25A13 Drives Ferroptosis Resistance and Immune Evasion via a STAT3–IFI6 Circuit in Breast Cancer

Advanced Science, EarlyView.
SLC25A13 is identified as an immunometabolic driver of triple‐negative breast cancer that sustains ferroptosis resistance and immune evasion through a STAT3–IFI6 circuit. Pharmacologic degradation of SLC25A13 restores ferroptosis sensitivity and enhances anti‐PD‐1 efficacy, highlighting a strategy to convert immune‐cold tumors into immunotherapy ...
Yingze Zhu, Yuhan Tang, Yingcui Chen, Zhuoqi Zhang, Yige Lu, Xinyue Wang, Qiyuan Shi, Wenhui Zhao, Hui Pang   +8 more
wiley   +1 more source

mTORC2 Phosphorylation of GSDME‐N Drives Cullin4B‐Mediated Proteasomal Degradation to Suppress Pyroptosis and Confer Radioresistance in Small Cell Lung Cancer

Advanced Science, EarlyView.
Radioresistance severely limits the efficacy of therapies for small cell lung cancer (SCLC). This study reveals a novel mechanism of resistance driven by the active suppression of pyroptosis. Specifically, the mTORC2 complex directly phosphorylates GSDME‐N and promotes its CUL4B‐mediated ubiquitination and proteasomal degradation.
Qing‐qing Xu, Ci‐ming Sun, Sui‐xian Zhang, Rui Li, Chen‐fei Wu, Zai‐shan Lin, Li Li, Run‐zhe Chen, Qi‐wen Li, Yuan‐yuan Chen, Xuan Li, Ming Chen   +11 more
wiley   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

Advanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang, Zhiyuan Cheng, Chengying She, Hongwei Zhao, Jiahui Zhang, Lin Lv, Zhihao Yan, Hongwen Zhu, Lizhuang Liu, Yan Fu, Xinpei Yi   +10 more
wiley   +1 more source

Artificial Intelligence‐Based Body Composition Analysis Reveals Sex‐Specific Prognostic Markers and Their Clinical Value in Gastric Cancer: A Multicenter Study

Advanced Science, EarlyView.
This study applied AI to quantify multidimensional body composition from CT images in gastric cancer and healthy controls. Distinct sex‐specific patterns and disease‐related alterations were identified and were associated with survival. Higher muscle and fat measures were linked to improved outcomes.
Tianxiang Li, Tingting Liu, Qian Yang, Zhiqing Zhang, Xiaofang Guo, Xiang Wang, Yihan Zhang, Limin Ge, Yu Su, Wenjun Wu, Weihua Guo, Zheng Wang, Lian Yang, Yanfeng Niu   +13 more
wiley   +1 more source

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A Non‐stationary Cox Model

Scandinavian Journal of Statistics, 2000
The purpose of this paper is to consider the problem of statistical inference about a hazard rate function that is specified as the product of a parametric regression part and a non‐parametric baseline hazard. Unlike Cox's proportional hazard model, the baseline hazard not only depends on the duration variable, but also on the starting date of the ...
Pons, O., Visser, M.
openaire   +3 more sources

An Extension of Cox's Regression Model

International Statistical Review / Revue Internationale de Statistique, 1983
Summary It is shown how one can construct a model for a jump process depending on an arbitrary intensity measure with the property that if the measure is absolutely continuous it reduces to Cox's regression model for survival data. The model has the property that the maximum likelihood estimator of the parameters are Cox's estimate for the regression ...
Søren Johansen, Soren Johansen
openaire   +1 more source

Diagnostic Plots in Cox's Regression Model

Biometrics, 1991
Two diagnostic plots are presented for validating the fitting of a Cox proportional hazards model. The added variable plot is developed to assess the effect of adding a covariate to the model. The constructed variable plot is applied to detect nonlinearity of a fitted covariate. Both plots are also useful for identifying influential observations on the
Chen, Chen-Hsin, Wang, P. C.
openaire   +2 more sources

Adaptive Regression Splines in the Cox Model

Biometrics, 1999
Summary.We develop a method for constructing adaptive regression spline models for the exploration of survival data. The method combines Cox's (1972,Journal of the Royal Statistical Society, Series B34, 187–200) regression model with a weighted least‐squares version of the multivariate adaptive regression spline (MARS) technique of Friedman (1991 ...
LeBlanc, Michael, Crowley, John
openaire   +2 more sources