The ability to predict the future behavior of an individual cancer is crucial for precision cancer medicine. The discovery of extensive intratumor heterogeneity and ongoing clonal adaptation in human tumors substantiated the notion of cancer as an evolutionary process. Random events are inherent in evolution and tumor spatial structures hinder the efficacy of selection, which is the only deterministic evolutionary force. This review outlines how the interaction of these stochastic and deterministic processes, which have been extensively studied in evolutionary biology, limits cancer predictability and develops evolutionary strategies to improve predictions. Understanding and advancing the cancer predictability horizon is crucial to improve precision medicine outcomes.
1 December 2008 in Journal of Biological Chemistry
Fanconi anemia (FA) is a heritable human cancer-susceptibility disorder, delineating a genetically heterogenous pathway for the repair of replication-blocking lesions such as interstrand DNA cross-links. Here we demonstrate that one component of this pathway, FANCJ, is a structure-specific DNA helicase that dissociates guanine quadruplex DNA (G4 DNA) in vitro. Moreover, in contrast with previously identified G4 DNA helicases, such as the Bloom's helicase (BLM), FANCJ unwinds G4 substrates with 5′–3′ polarity. In the FA-J human patient cell line EUFA0030 the loss of FANCJ G4 unwinding function correlates with the accumulation of large genomic deletions in the vicinity of sequences, which match the G4 DNA signature. Together these findings support a role for FANCJ in the maintenance of potentially unstable genomic G/C tracts during replication.
Despite biomarker stratification, the anti-EGFR antibody cetuximab is only effective against a subgroup of colorectal cancers (CRCs). This genomic and transcriptomic analysis of the cetuximab resistance landscape in 35 RAS wild-type CRCs identified associations of NF1 and non-canonical RAS/RAF aberrations with primary resistance and validated transcriptomic CRC subtypes as non-genetic predictors of benefit. Sixty-four percent of biopsies with acquired resistance harbored no genetic resistance drivers. Most of these had switched from a cetuximab-sensitive transcriptomic subtype at baseline to a fibroblast- and growth factor-rich subtype at progression. Fibroblast-supernatant conferred cetuximab resistance in vitro, confirming a major role for non-genetic resistance through stromal remodeling. Cetuximab treatment increased cytotoxic immune infiltrates and PD-L1 and LAG3 immune checkpoint expression, potentially providing opportunities to treat cetuximab-resistant CRCs with immunotherapy.