Results 91 to 100 of about 30,017,606 (359)

Effective therapeutic targeting of CTNNB1‐mutant hepatoblastoma with WNTinib

Molecular Oncology, EarlyView.
WNTinib, a Wnt/CTNNB1 inhibitor, was tested in hepatoblastoma (HB) experimental models. It delayed tumor growth and improved survival in CTNNB1‐mutant in vivo models. In organoids, WNTinib outperformed cisplatin and showed enhanced efficacy in combination therapy, supporting its potential as a targeted treatment for CTNNB1‐mutated HB.
Ugne Balaseviciute, Júlia Huguet‐Pradell, Jordi Abril‐Fornaguera, Albert Gris‐Oliver, Alex Rialdi, Elisa Fernández‐Martínez, Carla Montironi, Vanessa Del Pozo, Peter Houghton, Laura Zanatto, Agavni Mesropian, Ieva Keraite, Swan Thung, Carolina Armengol, Pau Sancho‐Bru, Ernesto Guccione, Roser Pinyol, Josep M. Llovet   +17 more
wiley   +1 more source

ATF4‐mediated stress response as a therapeutic vulnerability in chordoma

Molecular Oncology, EarlyView.
We screened 5 chordoma cell lines against 100+ inhibitors of epigenetic and metabolic pathways and kinases and identified halofuginone, a tRNA synthetase inhibitor. Mechanistically halofuginone induces an integrated stress response, with eIF2alpha phosphorylation, activation of ATF4 and its target genes CHOP, ASNS, INHBE leading to cell death ...
Lucia Cottone, James Dunford, Eleanor Calcutt, Vicki Gamble, Filiz Senbabaoglu Aksu, Lorena Ligammari, Georgina Wherry, Giorgia Gaeta, John C. Christianson, Adrienne M. Flanagan, Udo Oppermann, Adam P. Cribbs   +11 more
wiley   +1 more source

Regression without regrets –initial data analysis is a prerequisite for multivariable regression

BMC Medical Research Methodology
Statistical regression models are used for predicting outcomes based on the values of some predictor variables or for describing the association of an outcome with predictors.
Georg Heinze, Mark Baillie, Lara Lusa, Willi Sauerbrei, Carsten Oliver Schmidt, Frank E. Harrell, Marianne Huebner, on behalf of TG2 and TG3 of the STRATOS initiative   +7 more
doaj   +1 more source

Recipe optimization using regression analysis method

Новые технологии
Introduction. Mathematical modeling in food technology plays a key role in solving many theoretical and practical problems. At the stage of creating new recipes, it becomes one of the effective methods that allows reducing the time and costs of ...
V. A. Bukhovets, O. V. Kartavenko, P. O. Tyurin, G. V. Styrev, D. A. Tverdokhlebova   +4 more
doaj   +1 more source

Analysis of classic assumption test and multiple linear regression coefficient test for employee structural office recommendation

, 2021
Debby Alita, Ade Dwi Putra, Dedi Darwis
openalex   +2 more sources

Functional linear regression via canonical analysis

, 2011
We study regression models for the situation where both dependent and independent variables are square-integrable stochastic processes. Questions concerning the definition and existence of the corresponding functional linear regression models and some ...
He, Guozhong, Müller, Hans-Georg, Wang, Jane-Ling, Yang, Wenjing   +3 more
core   +1 more source

A unified model for Duchenne muscular dystrophy gene involvement in cancer: context‐dependent tumour suppression and oncogenicity

FEBS Open Bio, EarlyView.
We propose a context‐dependent model where the Duchenne muscular dystrophy (DMD) gene acts as a tumour suppressor in aggressive tumours and as an oncogene in less aggressive ones. We propose this model as a unified framework to explain the opposing survival associations with DMD expression and to guide experimental exploration of the dual role of DMD ...
Lee Machado, Leanne Jones, Sonika Divakar, Michael Naidoo, Karen Anthony   +4 more
wiley   +1 more source

Using Quantile Regression for Duration Analysis [PDF]

Quantile regression methods are emerging as a popular technique in econometrics and biometrics for exploring the distribution of duration data. This paper discusses quantile regression for duration analysis allowing for a flexible specification of the ...
Fitzenberger, Bernd, Wilke, Ralf A.
core  

Functional linear regression analysis for longitudinal data

, 2006
We propose nonparametric methods for functional linear regression which are designed for sparse longitudinal data, where both the predictor and response are functions of a covariate such as time.
Müller, Hans-Georg, Wang, Jane-Ling, Yao, Fang   +2 more
core   +1 more source

Identification of amino acids essential for angulin‐1/3 binding of the tricellular tight junction binder, angubindin‐1

FEBS Open Bio, EarlyView.
Angubindin‐1 binds angulin‐1/‐3 at tricellular tight junctions, enhancing intestinal macromolecule permeation. Alanine scanning identified six essential residues (L562, L598, E638, V640, Y643, and K644) of angubindin‐1 critical for binding to angulin‐1/‐3 and permeation‐enhancing activity, providing insights for the development of targeted noninvasive ...
Taiki Kuzu, Yumi Iwashita, Keisuke Tachibana, Itsuki Nishino, Yuki Niwa, Atsuko Uyeda, Kazuki Matsuo, Masahiro Nagahama, Masuo Kondoh   +8 more
wiley   +1 more source