dataset
posted on 2023-04-03, 16:45 authored by Javad Noorbakhsh, Zi-Ming Zhao, James C. Russell, Jeffrey H. Chuang <p>Table S1: (A) Summary of success rates for six mammalian invasive species under different eradication strategies. 95% confidence interval (CI) was calculated using binomial proportion CI with Jeffreys prior; (B) Summary of success rates (Kaplan-Meier five-year survival rates) for different tumor types under different treatment options. 95% CI was calculated using exponential Greenwood CI for Kaplan-Meier estimator and beta product procedure.</p>
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ARTICLE ABSTRACT
To cure a patient's cancer is to eradicate invasive cells from the ecosystem of the body. However, the ecologic complexity of this challenge is not well understood. Here we show how results from eradications of invasive mammalian species from islands—one of the few contexts in which invasive species have been regularly cleared—inform new research directions for treating cancer. We first summarize the epidemiologic characteristics of island invader eradications and cancer treatments by analyzing recent datasets from the Database of Invasive Island Species Eradications and The Cancer Genome Atlas, detailing the superior successes of island eradication projects. Next, we compare how genetic and environmental factors impact success in each system. These comparisons illuminate a number of promising cancer research and treatment directions, such as heterogeneity engineering as motivated by gene drives and adaptive therapy; multiscale analyses of how population heterogeneity potentiates treatment resistance; and application of ecological data mining techniques to high-throughput cancer data. We anticipate that interdisciplinary comparisons between tumor progression and invasive species would inspire development of novel paradigms to cure cancer.
