Subrenal capsule grafting technology in human cancer modeling and translational cancer research

2016 ◽  
Vol 91 (4-5) ◽  
pp. 15-19 ◽  
Author(s):  
Yuzhuo Wang ◽  
Joy X. Wang ◽  
Hui Xue ◽  
Dong Lin ◽  
Xin Dong ◽  
...  
Keyword(s):  
Cancer Research ◽  
Human Cancer ◽  
Translational Cancer Research ◽  
Cancer Modeling ◽  
Subrenal Capsule

scholarly journals A Detailed Catalogue of Multi-Omics Methodologies for Identification of Putative Biomarkers and Causal Molecular Networks in Translational Cancer Research

2021 ◽  
Vol 22 (6) ◽  
pp. 2822
Author(s):  
Efstathios Iason Vlachavas ◽  
Jonas Bohn ◽  
Frank Ückert ◽  
Sylvia Nürnberg
Keyword(s):  
Cancer Research ◽  
Clinical Information ◽  
Disease Diagnosis ◽  
Molecular Data ◽  
Molecular Networks ◽  
Biological Knowledge ◽  
Omics Data ◽  
Translational Cancer Research ◽  
Using Data ◽  
Biological Entities

Recent advances in sequencing and biotechnological methodologies have led to the generation of large volumes of molecular data of different omics layers, such as genomics, transcriptomics, proteomics and metabolomics. Integration of these data with clinical information provides new opportunities to discover how perturbations in biological processes lead to disease. Using data-driven approaches for the integration and interpretation of multi-omics data could stably identify links between structural and functional information and propose causal molecular networks with potential impact on cancer pathophysiology. This knowledge can then be used to improve disease diagnosis, prognosis, prevention, and therapy. This review will summarize and categorize the most current computational methodologies and tools for integration of distinct molecular layers in the context of translational cancer research and personalized therapy. Additionally, the bioinformatics tools Multi-Omics Factor Analysis (MOFA) and netDX will be tested using omics data from public cancer resources, to assess their overall robustness, provide reproducible workflows for gaining biological knowledge from multi-omics data, and to comprehensively understand the significantly perturbed biological entities in distinct cancer types. We show that the performed supervised and unsupervised analyses result in meaningful and novel findings.

scholarly journals New insights on CRISPR/Cas9-based therapy for breast Cancer

2021 ◽  
Vol 43 (1) ◽  
Author(s):  
Hussein Sabit ◽  
Shaimaa Abdel-Ghany ◽  
Huseyin Tombuloglu ◽  
Emre Cevik ◽  
Amany Alqosaibi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Research ◽  
Animal Models ◽  
Human Cancer ◽  
Step Process ◽  
Cancer Initiation ◽  
Malignant State ◽  
Treat Breast Cancer

AbstractCRISPR/Cas9 has revolutionized genome-editing techniques in various biological fields including human cancer research. Cancer is a multi-step process that encompasses the accumulation of mutations that result in the hallmark of the malignant state. The goal of cancer research is to identify these mutations and correlate them with the underlying tumorigenic process. Using CRISPR/Cas9 tool, specific mutations responsible for cancer initiation and/or progression could be corrected at least in animal models as a first step towards translational applications. In the present article, we review various novel strategies that employed CRISPR/Cas9 to treat breast cancer in both in vitro and in vivo systems.

scholarly journals Working with Human Tissues for Translational Cancer Research

10.3791/53189 ◽  
2015 ◽  
Author(s):  
Alexandre Reuben ◽  
Vancheswaran Gopalakrishnan ◽  
Heidi E. Wagner ◽  
Christine N. Spencer ◽  
Jacob Austin-Breneman ◽  
...  
Keyword(s):  
Cancer Research ◽  
Human Tissues ◽  
Translational Cancer Research

scholarly journals Stem Cells in Translational Cancer Research

2015 ◽  
Vol 2015 ◽  
pp. 1-2
Author(s):  
Oswaldo Keith Okamoto ◽  
Ander Matheu ◽  
Luca Magnani
Keyword(s):  
Stem Cells ◽  
Cancer Research ◽  
Translational Cancer Research

scholarly journals A Federated Network for Translational Cancer Research Using Clinical Data and Biospecimens

2015 ◽  
Vol 75 (24) ◽  
pp. 5194-5201 ◽  
Author(s):  
Rebecca S. Jacobson ◽  
Michael J. Becich ◽  
Roni J. Bollag ◽  
Girish Chavan ◽  
Julia Corrigan ◽  
...  
Keyword(s):  
Cancer Research ◽  
Clinical Data ◽  
Translational Cancer Research

scholarly journals Mission‐oriented translational cancer research – health economics

2019 ◽  
Vol 13 (3) ◽  
pp. 636-647 ◽  
Author(s):  
Bengt Jönsson ◽  
Richard Sullivan
Keyword(s):  
Cancer Research ◽  
Health Economics ◽  
Translational Cancer Research

scholarly journals Conventionally used reference genes are not outstanding for normalization of gene expression in human cancer research

2019 ◽  
Vol 20 (S10) ◽  
Author(s):  
Jihoon Jo ◽  
Sunkyung Choi ◽  
Jooseong Oh ◽  
Sung-Gwon Lee ◽  
Song Yi Choi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cancer Research ◽  
Reference Genes ◽  
Human Cancer
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