Results 131 to 140 of about 10,579,206 (300)

Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining

open access: yesMolecular Oncology, EarlyView.
IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis   +3 more
wiley   +1 more source

Causal Identification in Crime Research: Lessons From Structural Causal Models

open access: yes
This paper addresses identification challenges in social sciences using observational data through tailored examples from crime and criminal justice research.
Fırat Bilgel
core   +1 more source

ipw: An R Package for Inverse Probability Weighting

open access: yesJournal of Statistical Software, 2011
We describe the R package ipw for estimating inverse probability weights. We show how to use the package to fit marginal structural models through inverse probability weighting, to estimate causal effects.
Ronald B. Geskus, Willem M. van der Wal
doaj  

Causal Root Cause Analysis in Software-Defined Systems: A Review With Context-Aware Causal Observability as a Case Study

open access: yesIEEE Access
Software-defined systems, spanning software-defined networking (SDN), software-defined storage (SDS), cyber-physical systems (CPS), IoT, and, more recently, software-defined vehicles (SDVs), are becoming increasingly complex and software-intensive ...
Ousman Khan, Alaa Khamis
doaj   +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

open access: yesMolecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka   +9 more
wiley   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

open access: yesMolecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller   +10 more
wiley   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

open access: yesMolecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq   +8 more
wiley   +1 more source

An Empirical Investigation of Food Consumer Behaviour in an Emerging Market [PDF]

open access: yes, 2005
This study examines food consumers in the capital of Romania. A study of 485 consumers using the Theory of Reasoned Action underpinned the investigation of determinants of food choice.
Petrovici, Dan Alex
core   +1 more source

CEACAM1 participation in breast cancer progression

open access: yesMolecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin   +3 more
wiley   +1 more source

Three models for combining information from causal indicators [PDF]

open access: yes
Sometimes we have multiple measures of the same concept. Combining the information of these multiple measures would allow us to improve the measurement.
Maarten Buis
core  

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