Engineered tumor models for cancer biology and treatment

2020 ◽  
pp. 423-443
Author(s):  
Hye-ran Moon ◽  
Bumsoo Han
Keyword(s):  
Cancer Biology ◽  
Tumor Models

scholarly journals How Genetically Engineered Mouse Tumor Models Provide Insights Into Human Cancers

2011 ◽  
Vol 29 (16) ◽  
pp. 2273-2281 ◽  
Author(s):  
Katerina Politi ◽  
William Pao
Keyword(s):  
Mouse Models ◽  
Cancer Biology ◽  
Human Cancer ◽  
Genetically Engineered ◽  
Mouse Tumor ◽  
Tumor Models ◽  
Genetically Engineered Mouse Models ◽  
Human Cancers ◽  
Chemically Induced

Genetically engineered mouse models (GEMMs) of human cancer were first created nearly 30 years ago. These early transgenic models demonstrated that mouse cells could be transformed in vivo by expression of an oncogene. A new field emerged, dedicated to generating and using mouse models of human cancer to address a wide variety of questions in cancer biology. The aim of this review is to highlight the contributions of mouse models to the diagnosis and treatment of human cancers. Because of the breadth of the topic, we have selected representative examples of how GEMMs are clinically relevant rather than provided an exhaustive list of experiments. Today, as detailed here, sophisticated mouse models are being created to study many aspects of cancer biology, including but not limited to mechanisms of sensitivity and resistance to drug treatment, oncogene cooperation, early detection, and metastasis. Alternatives to GEMMs, such as chemically induced or spontaneous tumor models, are not discussed in this review.

Experimental Breast Cancer Models: Preclinical Imaging Perspective

2020 ◽  
Vol 13 ◽  
Author(s):  
Ulku Korkmaz ◽  
Funda Ustun
Keyword(s):  
Breast Cancer ◽  
Cancer Biology ◽  
Relevant Literature ◽  
Scientific Data ◽  
Suitable Model ◽  
Breast Cancer Patients ◽  
Tumor Models ◽  
Preclinical Imaging ◽  
Advantages And Disadvantages ◽  
Cancer Models

Background : Breast cancer is the leading cause of cancer in women. 13% of breast cancer patients are at distant stage and mortality is due to metastases rather than primary disease. The unique genetic structure and natural process of breast cancer makes it a very suitable area for targeted therapies. Experimental tumor models are validated methods to examine the pathogenesis of cancer, the onset of the neoplastic process and progression. Objective: The aim of this study is to review the current literature on experimental breast cancer models and to bring a new perspective to the use of these models in teranostic preclinical studies in terms of the imaging. Methods: Searching for relevant literature from academic databases using keywords (Breast cancer, theranostic, preclinical imaging, tumor models, animal study, tailored therapy). The full text of the articles was reached and reviewed. Current scientific data has been reevaluated and compiled according to subtitles. Results and Conclusion: The development of animal models for breast cancer research has been the last century. Imaging methods used in breast cancer are used for tumor localization, quantification of tumor mass, imaging of genes and proteins, evaluation of tumor microenvironment, evaluation of tumor cell proliferation and metabolism and treatment response evaluation. Since human breast cancer is a heterogeneous group of diseases in terms of genetics and phenotype; it is not possible for a single model to adequately address all aspects of breast cancer biology. Considering that each model has advantages and disadvantages compared to each other, the most suitable model should be chosen in order to verify the thesis of the study.

Functional information from magnetic resonance imaging

1995 ◽  
Vol 53 ◽  
pp. 84-85
Author(s):  
Alan P. Koretsky ◽  
Afonso Costa e Silva ◽  
Yi-Jen Lin
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
High Resolution ◽  
Cancer Biology ◽  
Imaging Modality ◽  
Magnetic Resonance Images ◽  
Great Success ◽  
Functional Information ◽  
Resonance Imaging ◽  
High Resolution Mri

Magnetic resonance imaging (MRI) has become established as an important imaging modality for the clinical management of disease. This is primarily due to the great tissue contrast inherent in magnetic resonance images of normal and diseased organs. Due to the wide availability of high field magnets and the ability to generate large and rapidly switched magnetic field gradients there is growing interest in applying high resolution MRI to obtain microscopic information. This symposium on MRI microscopy highlights new developments that are leading to increased resolution. The application of high resolution MRI to significant problems in developmental biology and cancer biology will illustrate the potential of these techniques.In combination with a growing interest in obtaining high resolution MRI there is also a growing interest in obtaining functional information from MRI. The great success of MRI in clinical applications is due to the inherent contrast obtained from different tissues leading to anatomical information.

Cancer biology: A game of subversion

Nature ◽  
2006 ◽  
Author(s):  
Emmanuelle Passegué
Keyword(s):  
Cancer Biology

Evaluation of Potent Isoquinoline-Based Thiosemicarbazone Antiproliferatives Against Solid Tumor Models

2019 ◽  
Author(s):  
Daniel Sun ◽  
Soumya Poddar ◽  
Roy D. Pan ◽  
Juno Van Valkenburgh ◽  
Ethan Rosser ◽  
...  
Keyword(s):  
Solid Tumor ◽  
Small Cell Lung Carcinoma ◽  
Single Agent ◽  
Resistance Mechanisms ◽  
Tumor Models ◽  
Cell Lung Carcinoma ◽  
Adaptive Resistance ◽  
Cancer Models ◽  
Nanomolar Range

The lead compound, an ⍺-N-heterocyclic carboxaldehyde thiosemicarbazone <b>HCT-13</b>, was highly potent against a panel of pancreatic, small cell lung carcinoma, and prostate cancer models, with IC<sub>90</sub> values in the low-to-mid nanomolar range.<b> </b>We show that the cytotoxicity of <b>HCT-13</b> is copper-dependent, that it acts as a copper ionophore, induces production of reactive oxygen species (ROS), and promotes mitochondrial dysfunction and S-phase arrest. Lastly, DNA damage response/replication stress response (DDR/RSR) pathways, specifically Ataxia-Telangiectasia Mutated (ATM) and Rad3-related protein kinase (ATR), were identified as actionable adaptive resistance mechanisms following <b>HCT-13 </b>treatment. Taken together, <b>HCT-13 </b>is potent against solid tumor models and warrants <i>in vivo</i> evaluation against aggressive tumor models, either as a single agent or as part of a combination therapy.

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