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Vicus Science
   
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Vicus Science
Vicus Therapeutics is a privately-held biopharmaceutical company focused on developing oncology supportive care drug products for serious unmet medical needs. Each product candidate is a novel combination and dosing regimen of two generic drugs with known safety profiles. The constituent drugs and dosing regimens are chosen based on the results of Vicus’ predictive disease models and the company’s understanding of the body’s maladaptive response to cancer and its treatment.
Central to Vicus understanding of the disease is the view that a healthy state is a balance of inflows and outflows. The body is optimally designed to maintain a set of conditions that maintain this balance using feedback loops to regulate processes into a normal range when disease/stress pushes a process in one direction or another. The feedback loops provide adequate regulation within a certain range. However, when progressing into the early stages of disease, these adjustments exceed the adaptive range, and the metabolic/physiological response of the organism to restore balance actually exacerbates the imbalance of inflows and outflows. This cycle of progressing disease and maladaptive regulation leads to a ‘vicus’, a vicious circle, and a development of a full blown disease state.
Vicus uses this framework to re-interpret the literature, identify the maladaptive regulation, identify the predictive animal models and analogous human disease and assess data of constituent drug candidates’ impact on the disease causing maladaptive regulation
Because most supportive care indications have complex etiologies, we design and screen synergistic combinations of FDA, EMEA or PMDA- approved drugs that simultaneously target multiple disease causing pathways. In addition, based on the extensive information available on approved drugs, we design and screen the drug combinations to provide safe and synergistic therapy and to complement chemotherapy, radiation therapy and surgical procedures.
Vicus is the first biopharmaceutical company using relevant data from predictive animal models and human diseases based on the similarity principle applied to biological systems. This principle states that two disease systems are comparable and that data are relevant (predictive) if the maladaptive regulation (driver of disease) is pair-wise equal.
In the case of cancer cachexia caused by systemic inflammation, Vicus identified animal models and analogous human diseases with cachexia that are also caused by systemic inflammation. Vicus used published data from these animal models and analogous diseases to evaluate drug candidates. Vicus also identified animal models and human diseases with cachexia that are not caused by systemic inflammation. Vicus did not use the published data from these models or human disease because the data are not relevant to cachexia in advanced cancer.
 
 
 
     
                     
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