Saturday, 13 January 2018

Markov chains-Cellular states in Cancer

https://en.wikipedia.org/wiki/Markov_model

Cellular States in Cancer:
Visualization-Oscillating pendulum


Cellular states preceding and following tumorigenesis are  like- an oscillating pendulum that  overshoots mean position once (equivalent to cellular state i.e benign tumor after primary mutational hit-State A). The pendulum tries to  come back to mean balance position (equivalent to restoring homeostasis in cell after primary mutational hit). Due to  loss of elasticity of pendulum string (equivalent to secondary hit due to tumor microenvironment interactions) status quo of extreme position maintained, (which is  equivalent to malignant tumor-State B ).

Idea for a drug- A compound that decreases the probability of  transitioning from state A to state B

Activating a tumor suppressor/inhibiting an oncogene within a tumor by a drug may alter tumor cellular state. Tumor cells may adapt and give survival cues to the tumor microenvironment. So drug has to target signaling by tumor microenvironment to tumor cells. So not one drug but two, targeting tumor cell +tumor microenvironment.

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