The question we address here is what drives cancer to grow in an accelerated fashion as it evolves. Various proposals have been made regarding the possible drivers of cancer growth such as driver mutations and autonomous growth signaling. While these are clearly relevant, they rely too much on specific types of genomic mutations or molecular abnormalities by chance across different cancer types, which makes the probability for cancer to occur/progress significantly lower than what we have witnessed about the current cancer occurrence rates worldwide, hence making them less probable to be the ultimate drivers of cancer growth (Loeb, 1998).
We present here a model for the (accelerated) growth of a cancer based on the discovered gene-expression patterns derived from genome-scale transcriptomic data of seven solid carcinoma types, namely breast, kidney, liver, lung, ovary, pancreatic, and stomach cancers.