Oct 24, 2018

Connecting the Microenvironmental Niche to Treatment Response in Ovarian Cancer

BioRxiv : the Preprint Server for Biology
Maximilian StroblJill A Gallaher

Abstract

Ovarian cancer has the highest mortality rate of all gynecologic cancers, which may be attributed to an often late stage diagnosis, when the cancer is already metastatic, and rapid development of treatment resistance. We propose that the metastatic disease could be better characterized by observing interactions within the microenvironmental niche of the primary site that shapes the tumor's early phenotypic progression. We present a mechanistic mathematical model of ovarian cancer that considers spatial interactions between tumor cells and several key stromal components. We demonstrate how spatial biomarker imaging data from the primary tumor can be analyzed to define a patient-specific microenvironment in the mathematical model. We then show preliminary results, using this model, that demonstrate how differences in the niche composition of a tumor affects phenotypic evolution and treatment response.

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Mentioned in this Paper

Biological Markers
Tumor Cells, Uncertain Whether Benign or Malignant
Neoplastic Cell
Primary Neoplasm
Spatial Distribution
Neoplasms
Ovarian Carcinoma
Resistance Process
Analysis
Malignant Neoplasms

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