3-Dimensional Breast Tumor Modeling
We are modeling the tumor environment in 2D and 3D with sources and sinks that may be used to predict response to drugs and other treatments.
Origins and Evolution of Cell Phenotypes
in Growing Breast Tumors
Poster(7.7MB jpeg)
This study presents a stochastic model that correlates genomic instability with tumor
formation. The model describes the time- and space-variant volumetric concentrations
of cancer cells of various phenotypes in a growing breast tumor. The cells of epithelial
origin in the cancerous breast tissue are classified into four different phenotypes, normal
epithelial cells and the grade 1, grade 2 and grade 3 cancer cell types of increasing
potential for metastasis.
Large-Scale Computations on Histology
Images Reveal Grade-Differentiating
Parameters for Breast Cancer
Grading of tumors and the subsequent treatment options are largely dependent on the pathological
examination of the histology slides from the tumor tissue and is currently based on assessment
of various cellular and extra-cellular structures on the slides. In this study, we have developed
a novel automated image processing and machine learning algorithm to detect and identify the regions
of adipose tissue, stroma and three morphologically distinct cell nuclei types on the H&E stained
slides. Our method, combined with clustering algorithms, will provide for automated classification
of tumors into clinically relevant clusters.
Integrating Publicly Available Resources for Pattern Discovery
in Cancer Biology
With the advent of high-throughput bio-technologies, enormous amounts of biological data have been
generated and compiled into publicly available databases. One of the major challenges of dealing
with this data is the extraction of information with biological meaning and clinical relevancy.
We are currently mining existing biological databases and creating conceptual and computational links
between currently disjoint sets of data.
Migration of breast tumor cells through
Matrigel
The process of cellular invasion is comprised of distinct events, which include attachment of cells
into the basement membrane, secretion of enzymes, which degrade the basement membrane and the migration
of cells into the target tissue in response to the stimuli. Important properties of invasive cancer cells
include decreased cell-cell adhesion, cytoskeletal remodeling, increased motility, increased production
of ECM proteases, and synthesis of new ECM components.
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