TY - JOUR
T1 - Differential clonal evolution in oesophageal cancers in response to neo-adjuvant chemotherapy
AU - Findlay, John M.
AU - Castro-Giner, Francesc
AU - Makino, Seiko
AU - Rayner, Emily
AU - Kartsonaki, Christiana
AU - Cross, William
AU - Kovac, Michal
AU - Ulahannan, Danny
AU - Palles, Claire
AU - Gillies, Richard S.
AU - MacGregor, Thomas P.
AU - Church, David
AU - Maynard, Nicholas D.
AU - Buffa, Francesca
AU - Cazier, Jean-Baptiste
AU - Graham, Trevor A.
AU - Wang, Lai-Mun
AU - Sharma, Ricky A.
AU - Middleton, Mark
AU - Tomlinson, Ian
PY - 2016/4/5
Y1 - 2016/4/5
N2 - How chemotherapy affects carcinoma genomes is largely unknown. Here we report whole-exome and deep sequencing of 30 paired oesophageal adenocarcinomas sampled before and after neo-adjuvant chemotherapy. Most, but not all, good responders pass through genetic bottlenecks, a feature associated with higher mutation burden pre-treatment. Some poor responders pass through bottlenecks, but re-grow by the time of surgical resection, suggesting a missed therapeutic opportunity. Cancers often show major changes in driver mutation presence or frequency after treatment, owing to outgrowth persistence or loss of sub-clones, copy number changes, polyclonality and/or spatial genetic heterogeneity. Post-therapy mutation spectrum shifts are also common, particularly C>A and TT>CT changes in good responders or bottleneckers. Post-treatment samples may also acquire mutations in known cancer driver genes (for example, SF3B1, TAF1 and CCND2) that are absent from the paired pre-treatment sample. Neo-adjuvant chemotherapy can rapidly and profoundly affect the oesophageal adenocarcinoma genome. Monitoring molecular changes during treatment may be clinically useful.
AB - How chemotherapy affects carcinoma genomes is largely unknown. Here we report whole-exome and deep sequencing of 30 paired oesophageal adenocarcinomas sampled before and after neo-adjuvant chemotherapy. Most, but not all, good responders pass through genetic bottlenecks, a feature associated with higher mutation burden pre-treatment. Some poor responders pass through bottlenecks, but re-grow by the time of surgical resection, suggesting a missed therapeutic opportunity. Cancers often show major changes in driver mutation presence or frequency after treatment, owing to outgrowth persistence or loss of sub-clones, copy number changes, polyclonality and/or spatial genetic heterogeneity. Post-therapy mutation spectrum shifts are also common, particularly C>A and TT>CT changes in good responders or bottleneckers. Post-treatment samples may also acquire mutations in known cancer driver genes (for example, SF3B1, TAF1 and CCND2) that are absent from the paired pre-treatment sample. Neo-adjuvant chemotherapy can rapidly and profoundly affect the oesophageal adenocarcinoma genome. Monitoring molecular changes during treatment may be clinically useful.
U2 - 10.1038/ncomms11111
DO - 10.1038/ncomms11111
M3 - Article
SN - 2041-1723
VL - 7
JO - Nature Communications
JF - Nature Communications
M1 - 11111
ER -