Imaging biomarkers is coordinated by Dr. Gary Martinez, PhD. It meets
Wednesdays 2-4 pm in PI-2. Members of this program include Drs. John
Heine, Virendra Kumar, Yuhua Gu, Jon Wojtkowiak, Heather Cornell, Xiaomeng Zhang
and Ihor Luhach. It
is funded by three NIH grants: a pre-clinical R01 (Imaging Biomarkers), a
clinical U01 (Radiomics), a clinical R01 (Heine mammography) and an ARRA
supplement to an N01 (Drs. Dan Sullivan, Hatem Soliman) to add an imaging arm to
a proposed trial.
The focus of this theme is to develop and apply imaging biomarkers to improve
cancer therapy and prognosis. Biomarkers are quantitative measures of
tumor physiology or pathology that can monitor or predict response, or predict
the presence or recurrence of disease.
Pre-clinical work in this theme focuses on MRI/MRS of breast cancer models. It
has somewhat been hampered by a lack of research agreements with Pharma, but
this is recently changing. It is our expectation that this will grow into a
relevant and important capability. The clinical work includes a project to
develop novel radiochemistry, 11-C labeled alpha-methyl tryptophan, to measure
the activity of IDO, an enzyme whose products are known to be immunosuppressive.
Additional clinical research involves the extraction of quantitative information
from PET and CT images of NSCLC using Definiens® software (“Radiomics”). These
data are to be compared to expression and outcomes data from the TCC database.
Additional clinical work includes optimization of mammographic density measures
using a combination of improved image analysis for breast cancer risk modeling
with highly quantified metrics derived from standardized image data, and
response assessment for clinical trials using RECIST 1.1 criteria. A research
component of this effort seeks to improve the quantification of RECIST and to
expand the feature lists of data generated during measures. This is heavily
focused on image analysis, and it is expected that this will also grow as an
important capability applicable to any cancer in the TCC database.Go Back