[HTML][HTML] The genomic road to invasion—examining the similarities and differences in the genomes of associated oral pre-cancer and cancer samples

HM Wood, C Daly, R Chalkley, B Senguven, L Ross… - Genome medicine, 2017 - Springer
HM Wood, C Daly, R Chalkley, B Senguven, L Ross, P Egan, P Chengot, J Graham, N Sethi…
Genome medicine, 2017Springer
Background It is frequently assumed that pre-invasive lesions are simpler precursors of
cancer and will contain a limited subset of the genomic changes seen in their associated
invasive disease. Driver mutations are thought to occur early, but it is not known how many
of these are present in pre-invasive lesions. These assumptions need to be tested with the
increasing focus on both personalised cancer treatments and early detection
methodologies. Methods We examined genomic copy number changes in 256 pre-invasive …
Background
It is frequently assumed that pre-invasive lesions are simpler precursors of cancer and will contain a limited subset of the genomic changes seen in their associated invasive disease. Driver mutations are thought to occur early, but it is not known how many of these are present in pre-invasive lesions. These assumptions need to be tested with the increasing focus on both personalised cancer treatments and early detection methodologies.
Methods
We examined genomic copy number changes in 256 pre-invasive and invasive samples from 69 oral cancer patients. Forty-eight samples from 16 patients were further examined using exome sequencing.
Results
Evidence of a shared ancestor of both dysplasia and carcinoma was seen in all but one patient. One-third of dysplasias showed independent copy number events. The remainder had a copy number pattern that was similar to or simpler than that of the carcinoma. All dysplasias examined contained somatic mutations absent in the related carcinoma.
Previously observed copy number changes and TP53 mutations were very frequently observed, and almost always shared between dysplasia and carcinoma. Other gene changes were more sporadic. Pathway analysis confirmed that each patient’s disease developed in a different way.
Examining the numbers of shared mutations and the rate of accumulation of mutations showed evidence that all samples contain a population of sub-clones, with little evidence of selective advantage of a subset of these.
Conclusions
These findings suggest that most of the genomic changes driving oral cancer occur in the pre-cancerous state by way of gradual random accumulation rather than a dramatic single event.
Springer