QUANTUM INTERACTOMICS AND CANCER MECHANISMS
I.C. Baianu
*Abstract
Single cell interactomics in simpler organisms, as well as somatic cell
interactomics in multicellular
organisms, involve biomolecular interactions in complex
signalling pathways that were recently represented in
modular terms by quantum automata with
‘reversible behavior’ representing normal cell cycling and division. Other
implications of such quantum automata, modular modeling of signaling pathways
and cell differentiation during development are in the fields of neural plasticity
and brain development leading to quantum-weave dynamic patterns and specific molecular processes underlying extensive memory,
learning, anticipation mechanisms and the emergence of human consciousness during
the early brain development in children. Cell interactomics
is here represented for the first time as a mixture of ‘classical’ states that
determine molecular dynamics subject to Boltzmann
statistics and ‘steady-state’, metabolic (multi-stable) manifolds, together
with ‘configuration’ spaces of metastable quantum
states emerging from complex quantum dynamics of interacting networks of biomolecules, such as proteins and nucleic acids that are now
collectively defined as quantum interactomics. On the other hand, the time dependent
evolution over several generations of cancer cells --that are generally known
to undergo frequent and extensive genetic mutations and, indeed, suffer genomic
transformations at the chromosome level (such as extensive chromosomal
aberrations found in many colon cancers)-- cannot be
correctly represented in the ‘standard’ terms of quantum automaton modules, as
the normal somatic cells can. This significant difference at the cancer cell
genomic level is therefore reflected in major changes in cancer cell interactomics often from one cancer cell ‘cycle’ to the next,
and thus it requires substantial changes in the modeling strategies,
mathematical tools and experimental designs aimed at understanding
cancer mechanisms. Novel solutions to this important problem in carcinogenesis
are proposed and experimental validation procedures are suggested. From a medical
research and clinical standpoint, this approach has important consequences for
addressing and preventing the development of cancer resistance to medical
therapy in ongoing clinical trials involving stage III cancer patients, as
well as improving the designs of future clinical trials for cancer treatments.
*Communicated to:
The Institute of Genomic Biology (currently under construction at UIUC, at
KEYWORDS: Cancer cell interactomics;
Somatic cell genomics and
Proteomics; current limitations of
modular models of carcinogenesis;
Complex quantum dynamics; Quantum Automata models and
Quantum Interactomics; quantum-weave dynamic patterns underlying
human consciousness; specific molecular
processes underlying extensive memory, learning, anticipation mechanisms
and human consciousness; emergence of
human consciousness during the early brain development in children; Cancer cell
‘cycling’; interacting networks of proteins and nucleic acids; genetic
mutations and chromosomal aberrations in cancers, such as colon cancer;
development of cancer resistance to therapy; ongoing clinical trials involving
stage III cancer patients’ possible improvements of the designs for future clinical trials and
cancer treatments.
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I.C. Baianu,
AFC-NMR
& NIR Microspectroscopy Facility,
email: ibaianu@uiuc.edu