Hoersholm; October 10 th , 2016 - Medical Prognosis Institute A/S (MPI.ST) (Denmark and Phoenix, AZ, USA) today announced that the poste r # 134P : APO010 sensitivity in relapsed Multiple Myeloma patients is presented in Hall E, today: October 10th 2016 at 13-14 CET at ESMO. Please see the attached Poster. For the related abstract - please refer to http://www.esmo.org/ as previously announced.
ESMO is the leading European professional organization for medical oncology. Comprising more than 13,000 oncology professionals from over 130 countries. ESMO is the society of reference for oncology education and information.
"Combining Oncology Ventures APO010 with MPIs Drug Response Prediction (DRP(TM)) analysis will add a precision medicine element to immuno-oncology treatment of Multiple Myeloma. The DRP method will enable us to identify patients with high likelihood of response and thereby facilitate focused future trial design and patient recruitment to achieve clinical success ," Said Adjunct Professor Peter Buhl Jensen, M.D., CEO of Medical Prognosis Institute.
ESMO venue: Bella Center, Center Boulevard 5, 2300 Copenhagen, Denmark.
Poster # 134P:
APO010 sensitivity in relapsed Multiple Myeloma patients
will be presented in Hall E, October 10th 2016 at 13-14 CET.
About MPI's multiple biomarker called Drug Response Predictor - DRP(TM)
MPI's DRP(TM) is a tool for developing tumor-derived genetic signatures to predict which cancer patients are high likely to respond to a given anti-cancer product. The DRP(TM) has been tested in 37 trials, where 29 trials showed that drug-specific DRP(TM) Biomarkers could predict which patients responded well to the treatment. The DRP(TM) platform has amongst others been externally validated and published in collaboration with leading statisticians at the MD Anderson Cancer Center. The DRP(TM) method can be used to design the Clinical Development Plan, i.e. to select which indications are relevant for a given anti-cancer drug. In addition to this, the individual genetic patterns of patients can be analyzed as part of a screening procedure for a clinical trial to ensure inclusion of patients with a high likelihood of response to the drug. DRP(TM) builds on comparison between sensitive and resistant human cancer cell lines, including genomic information from cell lines combined with clinical tumor biology and clinical correlates in a systems biology network. The DRP(TM) is a Big Data tool based on messenger RNA.
The DRP(TM) platform can be used in all cancer types, and has been patented for more than 60 anti-cancer drugs in the US.
Medical Prognosis is a publicly traded international company specialized in improving cancer patients lives by developing Personalized Medicine using its unique DRP(TM) technology. MPI's exceptional opportunity to personalize cancer treatment - begins with Breast Cancer moving on to Multiple Myeloma and Prostate Cancer as the first steps. MPI's DRP(TM) tool has shown its ability to separate patients who benefit and who do not benefit from a specific cancer treatment. This has been shown in as many as 29 out of 37 trials, and covers more than 80 anti-cancer treatments in a wide range of cancer indications. MPI has built a significant large database with over 1,100 screened breast cancer patients and is building up a database in Multiple Myeloma to be followed by Prostate cancer in collaboration with oncologists and hematologists throughout Denmark.
For further information, please contact:
CEO, Peter Buhl Jensen, Adjunct Professor, MD, PhD Ulla Hald Buhl, IR & Communication
E-mail: firstname.lastname@example.org E-mail: email@example.com
Telephone: +45 21 60 89 22 Telephone +45 21 70 10 49
This information is information that Medical Prognosis Institute A/S is obliged to make public pursuant to the EU Market Abuse Regulation. The information was submitted for publication, through the agency of the contact person set out above, on October 10 th 2016.
Certified Advisor: Sedermera Fondkommission, Norra Vallgatan 64, 211 22, Malmö, SwedenMPI - ESMO-APO010
Last updated on: 11/10/2016
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