Results 111 to 120 of about 221,778 (302)

Constructing General Orthogonal Fractional Factorial Split-Plot Designs

open access: yes, 2015
While the orthogonal design of split-plot fractional factorial experiments has received much attention already, there are still major voids in the literature.
Peter Goos (805576)   +8 more
core   +1 more source

Cell‐cycle‐specific lesion evolution rather than inhibition of double‐strand‐break repair underpins cisplatin radiosensitization

open access: yesMolecular Oncology, EarlyView.
We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu   +10 more
wiley   +1 more source

Tests for the strip-split plot design

open access: yes, 2016
In this article we present the structure of the F tests, the variance components and the approximate degrees of freedom for each of the eight possible mixed models of the strip-split plot design.
Díaz-Pachón, Daniel   +2 more
core  

Longitudinal circulating tumor DNA profiling in patients with advanced endometrial cancer using an off‐the‐shelf targeted NGS panel

open access: yesMolecular Oncology, EarlyView.
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena   +15 more
wiley   +1 more source

Comparison of the Optimal Design: Split-Plot Experiments

open access: yes, 2012
Over the past decade, there have been rapid advances in the development of methods for the design and analysis of optimal split-plot experiment. Industrial experimentation involving optimality criteria has not been fully exhausted.
Francis, Ogege Ikhata, Mbegbu, Julian
core  

Interaction of HS1BP3 with cortactin modulates TKS5 localisation, cell secretion and cancer malignancy

open access: yesMolecular Oncology, EarlyView.
Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen   +9 more
wiley   +1 more source

Interpreting the effects of DNA polymerase variants at the structural level

open access: yesMolecular Oncology, EarlyView.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi   +7 more
wiley   +1 more source

Individual control treatment in split-plot experiments

open access: yes
Incomplete block design, Split-plot design, Control–treatment, General balance, Efficiency factors, 62K15, 62K10,
Iwona Mejza   +3 more
core   +1 more source

Proteasome inhibitor, ixazomib prevents topoisomerase‐I degradation and reverses irinotecan resistance in colorectal cancer

open access: yesMolecular Oncology, EarlyView.
Ixazomib inhibits proteasome‐mediated degradation of topoisomerase I induced by irinotecan, thereby restoring drug sensitivity and promoting tumor cell death in colorectal cancer. Irinotecan, a topoisomerase I (topoI) inhibitor, is widely used for colorectal cancer, but resistance remains a major clinical challenge.
Yuho Ebata   +10 more
wiley   +1 more source

Split-violin plots showing the distribution of the computed variables based on teams’ space occupation.

open access: yes, 2019
These split-violin plots combine box plot indicating first and third quartiles and vertical lines 10th and 90th percentiles. Blue colour represents the data sets of the team while green is assigned to the opponents.
Bruno Gonçalves (211071)   +5 more
core   +1 more source

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