cancer growth
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2022 ◽  
Vol 16 ◽  
pp. 101329
Author(s):  
Hong He ◽  
Chelsea Dumesny ◽  
Ching-Seng Ang ◽  
Li Dong ◽  
Yi Ma ◽  
...  

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Shu Liu ◽  
Yewei Zhang ◽  
Shien Cui ◽  
Dajiang Song ◽  
Bo Li ◽  
...  

2022 ◽  
Author(s):  
Muhammad Tufail ◽  
Changxin Wu

IGF-1Rs enact a significant part in cancer growth and its progress. IGF-1R inhibitors were encouraged in the early trials, but the patients did not benefit due to the unavailability of predictive biomarkers and IGF-1R system complexity. However, the linkage between IGF-1R and cancer was reported three decades ago. This review will shed light on the IGF-1R system, targeting IGF-1R through monoclonal antibodies, reasons behind IGF-1R trial failure and future directions. This study presented that targeting IGF-1R through monoclonal antibodies is still effective in cancer treatment, and there is a need to look for future directions. Cancer patients may benefit from using mAbs that target existing and new cancer targets, evidenced by promising results. It is also essential that the academician, trial experts and pharmaceutical companies play their role in finding a treatment for this deadly disease.


2022 ◽  
Vol 9 (1) ◽  
pp. 28
Author(s):  
Giorgia Imparato ◽  
Francesco Urciuolo ◽  
Paolo Antonio Netti

Organ on chip (OOC) has emerged as a major technological breakthrough and distinct model system revolutionizing biomedical research and drug discovery by recapitulating the crucial structural and functional complexity of human organs in vitro. OOC are rapidly emerging as powerful tools for oncology research. Indeed, Cancer on chip (COC) can ideally reproduce certain key aspects of the tumor microenvironment (TME), such as biochemical gradients and niche factors, dynamic cell–cell and cell–matrix interactions, and complex tissue structures composed of tumor and stromal cells. Here, we review the state of the art in COC models with a focus on the microphysiological systems that host multicellular 3D tissue engineering models and can help elucidate the complex biology of TME and cancer growth and progression. Finally, some examples of microengineered tumor models integrated with multi-organ microdevices to study disease progression in different tissues will be presented.


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