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A comparative analysis of whole genome sequencing of esophageal adenocarcinoma pre- and post-chemotherapy

生物 腺癌 化疗 突变积累 癌症 基因组 食管癌 遗传学 肿瘤科 基因 医学
作者
Ayesha Noorani,Jan Bornschein,Andy G. Lynch,Maria Secrier,Achilleas Achilleos,Matthew Eldridge,Lawrence Bower,Jamie Weaver,Jason Crawte,Chin‐Ann Johnny Ong,Nicholas B. Shannon,Shona MacRae,Nicola Grehan,Barbara Nutzinger,Maria Secrier,Richard Turkington,Simon Tavaré,Rebecca C. Fitzgerald
出处
期刊:Genome Research [Cold Spring Harbor Laboratory Press]
卷期号:27 (6): 902-912 被引量:29
标识
DOI:10.1101/gr.214296.116
摘要

The scientific community has avoided using tissue samples from patients that have been exposed to systemic chemotherapy to infer the genomic landscape of a given cancer. Esophageal adenocarcinoma is a heterogeneous, chemoresistant tumor for which the availability and size of pretreatment endoscopic samples are limiting. This study compares whole-genome sequencing data obtained from chemo-naive and chemo-treated samples. The quality of whole-genomic sequencing data is comparable across all samples regardless of chemotherapy status. Inclusion of samples collected post-chemotherapy increased the proportion of late-stage tumors. When comparing matched pre- and post-chemotherapy samples from 10 cases, the mutational signatures, copy number, and SNV mutational profiles reflect the expected heterogeneity in this disease. Analysis of SNVs in relation to allele-specific copy-number changes pinpoints the common ancestor to a point prior to chemotherapy. For cases in which pre- and post-chemotherapy samples do show substantial differences, the timing of the divergence is near-synchronous with endoreduplication. Comparison across a large prospective cohort (62 treatment-naive, 58 chemotherapy-treated samples) reveals no significant differences in the overall mutation rate, mutation signatures, specific recurrent point mutations, or copy-number events in respect to chemotherapy status. In conclusion, whole-genome sequencing of samples obtained following neoadjuvant chemotherapy is representative of the genomic landscape of esophageal adenocarcinoma. Excluding these samples reduces the material available for cataloging and introduces a bias toward the earlier stages of cancer.
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