“A particular successful guide to understanding and modeling cancer progression has been evolutionary theory, which has a long tradition in cancer research. Already 40 years ago, seminal work established an evolutionary view of cancer (Nowell 1976; Dexter et al. 1978; Fidler 1978), in which carcinogenesis is regarded as an evolutionary process driven by stepwise somatic mutations and clonal expansions,”
write the authors of an awesome new review paper titled Cancer evolution: mathematical models and computational inference. (Obviously, I am not biased at all. I would call it ‘awesome’ even if I wasn’t one of the authors – I swear!)
Writing the review article made me wonder how the long tradition of an evolutionary understanding of cancer plays out on PubMed. Using code by R-psychologist I plotted the following figure, which shows the number of PubMed hits for queries on ‘cancer evolution’ (red), ‘cancer heterogeneity’ (yellow), as well as reviews on these topics (green). You can find my complete analysis as an R markdown document on my webpage.