Gibbs Free Energy of Protein-Protein Interactions reflects tumor stage
Edward A. Rietman1
, Alex Bloemendal2
, John Platig3
, Jack A. Tuszynski4,5,
Giannoula Lakka Klement1,6*
1. Molecular Oncology Research Institute, Tufts Medical Center, Boston,
02111
2. Mathematics Department, Harvard University, Cambridge, MA
3. Dana-Farber Cancer Institute, Boston, MA
4. Department of Oncology, Faculty of Medicine & Dentistry, University of
Alberta, Edmonton, Alberta, Canada T6G 1Z2
5. Department of Physics, University of Alberta, Edmonton, Alberta,
Canada T6G 2E1
6. Pediatric Hematology Oncology, Floating Hospital for Children at Tufts
Medical Center, Boston, MA
Abstract
The sequential changes occurring with cancer progression are now being
harnessed with therapeutic intent. Yet, there is no understanding of the chemical
thermodynamics of proteomic changes associated with cancer progression/
cancer stage. This manuscript reveals a strong correlation of a chemical
thermodynamic measure (known as Gibbs free energy) of protein-protein
interaction networks for several cancer types and 5-year overall survival and
stage in patients with cancer. Earlier studies have linked degree entropy of
signaling networks to patient survival data, but not with stage. It appears that
Gibbs free energy is a more general metric and accounts better for the
underlying energetic landscape of protein expression in cells, thus correlating
with stage as well as survival.
This is an especially timely finding because of improved ability to obtain and
analyze genomic/ proteomic information from individual patients. Yet, at least at
present, only candidate gene imaging (FISH or immunohistochemistry) can be
used for entropy computations. With continually expanding use of genomic information in clinical medicine, there is an ever-increasing need to understand
the thermodynamics of protein-protein interaction networks.
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