Results 41 to 50 of about 24,047,971 (353)

Tumorbank@uza: A Collection of Tissue, Fluid Samples and Associated Data of Oncology Patients for the Use in Translational Research

Open Journal of Bioresources, 2018
Tumorbank@UZA is an academic hospital integrated biobank that collects tissue, blood and urine samples from oncology patients. We work according to a quality management system and have established SOPs for all work procedures in the biobank.
Sofie Goethals, Annemieke De Wilde, Katrien Lesage, Elke Smits, Patrick Pauwels, Marc Peeters   +5 more
doaj   +1 more source

Isolation and characterization of exosomes for cancer research

Journal of Hematology & Oncology, 2020
Exosomes are a subset of extracellular vesicles that carry specific combinations of proteins, nucleic acids, metabolites, and lipids. Mounting evidence suggests that exosomes participate in intercellular communication and act as important molecular ...
Le Zhu, Hao Sun, Shun Wang, Sheng-Lin Huang, Yan Zheng, Chaoqun Wang, Beiyuan Hu, Wei Qin, T. Zou, Yan Fu, Xiaotian Shen, Wenwei Zhu, Yan Geng, Lu Lu, H. Jia, L. Qin, Q. Dong   +16 more
semanticscholar   +1 more source

Best Practices for Spatial Profiling for Breast Cancer Research with the GeoMx® Digital Spatial Profiler

Cancers, 2021
Simple Summary In breast cancer, there is a high degree of variability in tumors and the surrounding tissue called the tumor microenvironment (TME). To better understand tumor biology and metastasis, as well as to predict response to cancer treatments or
Helga Bergholtz, J. Carter, A. Cesano, M. Cheang, S. Church, P. Divakar, C. Fuhrman, S. Goel, J. Gong, Jennifer L. Guerriero, M. Hoang, E. Hwang, H. Kuasne, Jinho Lee, Yan Liang, E. Mittendorf, J. Perez, A. Prat, L. Pusztai, J. Reeves, Y. Riazalhosseini, J. Richer, Ö. Sahin, Hiromi Sato, I. Schlam, T. Sørlie, D. Stover, S. Swain, A. Swarbrick, E. Thompson, S. Tolaney, S. Warren, On Behalf Of The GeoMx Breast Cancer Consortium   +32 more
semanticscholar   +1 more source

Scaffold-based 3D cell culture models in cancer research

Journal of Biomedical Sciences
Three-dimensional (3D) cell cultures have emerged as valuable tools in cancer research, offering significant advantages over traditional two-dimensional (2D) cell culture systems.
Waad H. Abuwatfa, W. Pitt, G. Husseini
semanticscholar   +1 more source

Click Chemistry in Human Cancer Research

Zhongliu Fangzhi Yanjiu
As one of the typical bioorthogonal chemistry reactions, click chemistry joins molecules similar to “Lego”. Bioorthogonal click chemistry is used to modify cancer cells, design antitumor drugs, delivery drugs, manipulate immune cells, and help ...
Baihong ZHANG, Hongyun YUE
doaj   +2 more sources

Three-Dimensional Spheroids as In Vitro Preclinical Models for Cancer Research

Pharmaceutics, 2020
Most cancer biologists still rely on conventional two-dimensional (2D) monolayer culture techniques to test in vitro anti-tumor drugs prior to in vivo testing.
Bárbara Pinto, Ana C. Henriques, Patrícia M. A. Silva, H. Bousbaa   +3 more
semanticscholar   +1 more source

Microfluidic Technologies in Advancing Cancer Research

Micromachines
This review explores the significant role of microfluidic technologies in advancing cancer research, focusing on the below key areas: droplet-based microfluidics, organ-on-chip systems, paper-based microfluidics, electrokinetic chips, and microfluidic ...
Arjun Ajikumar, Kin Fong Lei
doaj   +1 more source

Technologies for Cancer Research [PDF]

Biomedical Journal of Scientific & Technical Research, 2020
From an ever wider collection of scientific publications and from the continuous updates provided by the mass media, it is clear how the interconnection between technology and oncology is now close and profitable...
openaire   +4 more sources

Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia

FEBS Letters, EarlyView.
This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley   +1 more source

Visualization Analysis of Literatures About Artificial Intelligence in Cancer Research

Zhongliu Fangzhi Yanjiu, 2021
Objective To analyze the literatures about artificial intelligence in cancer research in Web of Science (WOS) core collection database in 2010-2019 and summarize research hot spots and development trends.
YANG Wenjing, LYV Zhangyan, FENG Xiaoshuang, WANG Wei, REN Jiansong, CHI Hui, DU ranran   +6 more
doaj   +1 more source