Tomasetti’s Lab is focused on using mathematical modeling, statistics, machine learning, A.I. and bioinformatics methods to address:
CANCER EVOLUTION
Cancer is driven by the sequential accumulation of genetic and epigenetic change. We provide mathematical models of the full process of tumor evolution. Those models are able to recapitulate a substantial proportion of the observed cancer incidence in several cancer types.
EARLY CANCER DETECTION
Noninvasive cell-free DNA (cfDNA) blood tests are showing the potential to detect cancers years before conventional diagnostic methods.
CANCER ETIOLOY
About two-thirds of the genetic mutations that lead to cancer happen simply because of random errors made as cells divide and not because of environmental exposures, lifestyle and inherited factors.
CANCER MONITORING
The presence of circulating tumor DNA (ctDNA) post-surgery predicts very poor recurrence-free survival, while its absence predicts a low recurrence risk. A ctDNA-guided approach to cancer reduced adjuvant chemotherapy use without compromising recurrence-free survival.
Division of Mathematics for Cancer Evolution and Early Detection, Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope
Address
1500 E Duarte Rd, Duarte, CA 91010, USA
Mailing Adress
ctomasetti@coh.org