Dollars for Profs
Dig Into University Researchers' Outside Income and Conflicts of Interest
Published Dec. 6, 2019
This database was last updated in December 2019 and should only be used as a historical snapshot. There may be new or amended records not reflected here.
Conflict of Interest
Institutions must file significant disclosures to the National Institutes of Health if they determine financial relationships could affect the design, conduct or reporting of the NIH-funded research. The NIH provided us with their entire financial conflict of interest database, with filings from 2012 through 2019.
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Gabriela Chiosis
Sloan Kettering Inst Can Research, Department: Na
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Samus Therapeutics
Intellectual property rights (e.g., royalties, patents, copyrights) not from the awardee Institution
The focus of the grant is to conduct exploratory analyses towards validation of the ‘oncogenic Hsp90” species as a biomarker for patient selection on Hsp90 inhibitor therapy and to demonstrate the use of two chemical tools to non-invasively measure the presence and abundance of this biomarker. This involves the intellectual property of investigator licensed to the company of which she is a founder.
Biomarkers for predicting response to Hsp90 therapy
Despite of the large number of potential new agents entering clinical evaluation every year, only 5% to 8% ever reach registration. Of particular concern is the high rate of failures in Phase 3, where an estimated 50% of oncology agents are stopped in development. Such failures are especially expensive and deprive many patients of potentially more effective treatments. These dire statistics clearly speak for the need to discover and implement predictive biomarkers for patient selection and trial enrichment. What have we learned from the results obtained in the last years with targeted agents? When a new drug has been administered, either as a single agent or in addition to chemotherapy in a study population not selected by any biomarker, most trials have produced negative results, while in a small minority of cases a statistically significant benefit has been demonstrated. This benefit, however, consisted -- at best -- of a small or moderate absolute prolongation of overall survival. On the other hand, examples of a greater absolute benefit obtained with the use of targeted agents based on a biomarker-driven patient selection are constantly increasing. Biomarkers provide the possibility to use tumor and patient characteristics to integrate an accurate predictor of efficacy with a specific mechanism based therapy, guiding the selection of treatment for each individual patient. In particular, a validated predictive marker can prospectively identify individuals who are likely to have a positive clinical outcome from a specific treatment. The technology described in this grant application provides an approach to improve our use of Hsp90 cancer therapeutics and promises to revolutionize the way we implement them in oncology. In short, we offer a way to identify which patients will benefit from these therapies. Itis the quest of modern oncology to find such technologies and this proposal is first ever to attempt to do so non-invasively in both blood cancers and solid tumors.
Filed on August 06, 2013.
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Gabriela Chiosis filed other conflict of interest disclosures with the NIH:
| Name | Institution | Type | Company | Disclosed Value |
|---|---|---|---|---|
| Gabriela Chiosis | Sloan Kettering Inst Can Research | Conflict of Interest | Samus Therapeutics | Value cannot be readily determined |
Notes: When a more specific filing date is not available for an individual financial disclosure or conflict of interest form, we use the year the form was filed. If the year was not disclosed, we report the range of years covered by our public records requests. In a few cases, a start date was provided instead of a filing date. In those cases, we use the start date instead.
Fewer than 10% of records from the University of Florida and fewer than 1% of records from the University of Texas system were removed because they did not contain enough information.
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