Results 51 to 60 of about 156,533 (274)

PYCR1 inhibition in bone marrow stromal cells enhances bortezomib sensitivity in multiple myeloma cells by altering their metabolism

Molecular Oncology, EarlyView.
This study investigated how PYCR1 inhibition in bone marrow stromal cells (BMSCs) indirectly affects multiple myeloma (MM) cell metabolism and viability. Culturing MM cells in conditioned medium from PYCR1‐silenced BMSCs impaired oxidative phosphorylation and increased sensitivity to bortezomib.
Inge Oudaert, Lauren van den Broecke, Osman Aksoy, Judith Lind, Sonia Vallet, Arne Van der Vreken, Gamze Ates, Ann Massie, Ken Maes, Kim De Veirman, Elke De Bruyne, Karin Vanderkerken, Klaus Podar, Eline Menu   +13 more
wiley   +1 more source

Impact of adjuvant radiotherapy on the survival of women with optimally resected stage III endometrial cancer in the era of modern radiotherapy: a retrospective study

Radiation Oncology, 2020
Background The optimal adjuvant treatment for stage III endometrial cancer in the era of modern radiotherapy remains undefined. We investigated the benefit of adjuvant radiotherapy for women who underwent optimal resection for stage III endometrial ...
Jenny Ling-Yu Chen, Yu-Sen Huang, Chao-Yuan Huang, Che-Yu Hsu, Keng-Hsueh Lan, Wen-Fang Cheng, Sung-Hsin Kuo   +6 more
doaj   +1 more source

Dosimetric Comparison between 6MV Flattened Filter and Flattening Filter Free Photon Beams in the Treatment of Glioblastoma with IMRT Technique: A Treatment Planning Study [PDF]

Iranian Journal of Medical Physics, 2020
Introduction: The present study evaluated the dosimetric comparison between 6MV flattened filter (FF) and flattening filter-free (FFF) photon beams in intensity-modulated radiation therapy (IMRT) technique for the treatment of glioblastoma (GBM) patients.
Dinesh Saroj, Suresh Yadav, Gopa Ghosh, Shuchishree Shukla, Gaurav Gupta, S. Choudhary   +5 more
doaj   +1 more source

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

, 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, Geets, Xavier, Jiang, Steve, Lin, Mu-Han, Lu, Weiguo, Nguyen, Dan, Norouzi-Kandalan, Roya, Sterpin, Edmond   +7 more
core   +1 more source

Adaptaquin is selectively toxic to glioma stem cells through disruption of iron and cholesterol metabolism

Molecular Oncology, EarlyView.
Adaptaquin selectively kills glioma stem cells while sparing differentiated brain cells. Transcriptomic and proteomic analyses show Adaptaquin disrupts iron and cholesterol homeostasis, with iron chelation amplifying cytotoxicity via cholesterol depletion, mitochondrial dysfunction, and elevated reactive oxygen species.
Adrien M. Vaquié, Davod R. Shah, Eliane E. S. Brechbühl, Michael McNicholas, Zhaoyang Xu, John H. Stockley, Laura Morcom, Diana Gold Diaz, Gemma C. Girdler, Rachel V. Seear, Gabriel Balmus, Rajiv R. Ratan, Harry Bulstrode, James A. Nathan, Manav Pathania, Kevin M. Brindle, David H. Rowitch   +16 more
wiley   +1 more source

Volumetric intensity-modulated Arc (RapidArc) therapy for primary hepatocellular carcinoma: comparison with intensity-modulated radiotherapy and 3-D conformal radiotherapy

Radiation Oncology, 2011
Background To compare the RapidArc plan for primary hepatocellular carcinoma (HCC) with 3-D conformal radiotherapy (3DCRT) and intensity-modulated radiotherapy (IMRT) plans using dosimetric analysis.
Chen Chia-Wen, Yu Hsiao-Wei, Shih Wen-Pin, Chiu Ying-Ming, Kuo Yu-Cheng, Wong Pei-Fong, Lin Wei-Chan, Hwang Jeng-Jong   +7 more
doaj   +1 more source

Beam Orientation Optimization for Intensity Modulated Radiation Therapy using Adaptive l1 Minimization

, 2011
Beam orientation optimization (BOO) is a key component in the process of IMRT treatment planning. It determines to what degree one can achieve a good treatment plan quality in the subsequent plan optimization process.
Bortfeld T, Bortfeld T, Chartrand R Sidky E Y Xiaochuan P, Chunhua Men, Djajaputra D, Fung G M, Haas O C L, Li Y J, Meedt G, Men C, Schreibmann E, Steve B Jiang, Woudstra E, Xun Jia, Yifei Lou, Zhu L   +15 more
core   +1 more source

Whole breast radiotherapy in prone and supine position: is there a place for multi-beam IMRT? [PDF]

, 2013
Background: Early stage breast cancer patients are long-term survivors and finding techniques that may lower acute and late radiotherapy-induced toxicity is crucial.
De Gersem, Werner, De Neve, Wilfried, Madani, Indira, MULLIEZ, THOMAS, Speleers, Bruno, Veldeman, Liv   +5 more
core   +2 more sources

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

GPU-based ultra-fast direct aperture optimization for online adaptive radiation therapy

, 2010
Online adaptive radiation therapy (ART) has great promise to significantly reduce normal tissue toxicity and/or improve tumor control through real-time treatment adaptations based on the current patient anatomy.
Bazaraa M, Bentley J, Chunhua Men, Earl M A, Fox C, Gu X, Gu X, Hoberock J Bell N, Kokubo M, Langen K M, Li M, Li Y J, Men C, Men C, Steve B Jiang, Wong J R, Wu C, Wu Q J, Xing M Decaudin P Baogang H Xiaopeng Z, Xun Jia, Yan D, Zhang G W   +21 more
core   +1 more source