Results 61 to 70 of about 32,218 (289)

COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells

open access: yesMolecular Oncology, EarlyView.
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos   +6 more
wiley   +1 more source

Predicting respiratory motion for real-time tumour tracking in radiotherapy

open access: yes, 2015
Purpose. Radiation therapy is a local treatment aimed at cells in and around a tumor. The goal of this study is to develop an algorithmic solution for predicting the position of a target in 3D in real time, aiming for the short fixed calibration time for
Jarusevicius, Laimonas   +3 more
core   +1 more source

Markerless liver online adaptive stereotactic radiotherapy: feasibility analysis

open access: yesPhysics in Medicine & Biology
Abstract Objective. Radio-opaque markers are recommended for image-guided radiotherapy in liver stereotactic ablative radiotherapy (SABR), but their implantation is invasive. We evaluate in this in-silico study the feasibility of cone-beam computed tomography-guided stereotactic online-adaptive radiotherapy (CBCT-STAR)
Julien Pierrard   +5 more
openaire   +2 more sources

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch   +13 more
wiley   +1 more source

Long-term patient experience with online MR-guided radiotherapy: adaptive versus non-adaptive workflow

open access: yesFrontiers in Oncology
Purpose/objectiveMagnetic resonance–linear accelerator (MR-Linac) systems enable high-precision radiotherapy through real-time MR guidance and daily online adaptive treatment planning.
Fabian Weykamp   +43 more
doaj   +1 more source

Automatic 3D Monte-Carlo-based secondary dose calculation for online verification of 1.5 T magnetic resonance imaging guided radiotherapy

open access: yesPhysics and Imaging in Radiation Oncology, 2021
Background and purpose: Hybrid magnetic resonance linear accelerator (MR-Linac) systems represent a novel technology for online adaptive radiotherapy.
Marcel Nachbar   +5 more
doaj   +1 more source

The effect of modulated electro-hyperthermia on local disease control in HIV-positive and -negative cervical cancer women in South Africa : early results from a phase III randomised controlled trial [PDF]

open access: yes, 2019
Background : The global burden of cervical cancer remains high with the highest morbidity and mortality rates reported in developing countries. Hyperthermia as a chemo- and radiosensitiser has shown to improve treatment outcomes.
Ayeni, Olusegun Akinwale   +7 more
core   +2 more sources

KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer

open access: yesMolecular Oncology, EarlyView.
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan   +16 more
wiley   +1 more source

MR-Guided Radiotherapy for Liver Malignancies

open access: yesFrontiers in Oncology, 2021
MR guided radiotherapy represents one of the most promising recent technological innovations in the field. The possibility to better visualize therapy volumes, coupled with the innovative online adaptive radiotherapy and motion management approaches ...
Luca Boldrini   +6 more
doaj   +1 more source

Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations

open access: yes, 2019
The use of neural networks to directly predict three-dimensional dose distributions for automatic planning is becoming popular. However, the existing methods only use patient anatomy as input and assume consistent beam configuration for all patients in ...
Barragan Montero, Ana Maria   +7 more
core   +1 more source

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