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Metamark Genetics Partners with Definiens on Tissue-Based Cancer Diagnostics

Thu, 06/30/2011 - 6:33am

CAMBRIDGE, Mass. and MUNICH, June 30, 2011 /PRNewswire/ -- Metamark Genetics, a privately-held oncology molecular diagnostic company, and Definiens, the leading Health Image Intelligence™ company, today announced a development and commercialization partnership in which Metamark will combine its proprietary multiplex protein detection platform with image analysis technology developed jointly with Definiens to deliver innovative prognostic and predictive assays for early-stage cancers.

"Definiens is a clear world leader in quantitative digital pathology and in the analysis of biomarkers in tissue image data," said Eric Devroe, Ph.D., Vice President of Business & Strategy Development for Metamark. "We see great synergy in combining Definiens' technology and expertise with Metamark's unique understanding of tumor heterogeneity and insight into the molecular drivers regulating tumor formation and aggression. We believe that this partnership will enable us to co-develop and implement unique and important image analysis tools."

Metamark's quantitative diagnostic approach can identify and account for small regions of molecularly aggressive cancer cells within an otherwise indolent tumor. The company is developing a portfolio of prognostic and predictive assays with the ability to address the "heterogeneous" nature of tumors not only between one patient and the next, but also within an individual patient's tumor.

Definiens has made ground-breaking achievements in the field of biomarker development based on its highly robust and scalable image analysis framework that enables scientists and clinicians to rapidly extract comprehensive biomarker and morphology expression profiles and to identify a relevant subset of descriptors by correlating them against patient outcomes.

"Definiens is pleased to partner with Metamark Genetics, and to incorporate our image and data analysis software technology into Metamark's pioneering Oncology diag

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