Multi-omic features of oesophageal adenocarcinoma in patients treated with preoperative neoadjuvant therapy
Oesophageal adenocarcinoma is a poor prognosis cancer and the molecular features underpinning response to treatment remain unclear. We investigate whole genome, transcriptomic and methylation data from 115 oesophageal adenocarcinoma patients mostly from the DOCTOR phase II clinical trial (Australian...
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Veröffentlicht in: | Nature communications 2023-05, Vol.14 (1), p.3155-17, Article 3155 |
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Sprache: | eng |
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Zusammenfassung: | Oesophageal adenocarcinoma is a poor prognosis cancer and the molecular features underpinning response to treatment remain unclear. We investigate whole genome, transcriptomic and methylation data from 115 oesophageal adenocarcinoma patients mostly from the DOCTOR phase II clinical trial (Australian New Zealand Clinical Trials Registry-ACTRN12609000665235), with exploratory analysis pre-specified in the study protocol of the trial. We report genomic features associated with poorer overall survival, such as the APOBEC mutational and RS3-like rearrangement signatures. We also show that positron emission tomography non-responders have more sub-clonal genomic copy number alterations. Transcriptomic analysis categorises patients into four immune clusters correlated with survival. The immune suppressed cluster is associated with worse survival, enriched with myeloid-derived cells, and an epithelial-mesenchymal transition signature. The immune hot cluster is associated with better survival, enriched with lymphocytes, myeloid-derived cells, and an immune signature including
CCL5
,
CD8A
, and
NKG7
. The immune clusters highlight patients who may respond to immunotherapy and thus may guide future clinical trials.
It remains critical to understand the genomic events in response to treatment of oesophageal adenocarcinoma (OAC). Here, the authors perform a multi-omics analysis of OAC patients from the DOCTOR phase II clinical trial, finding genomic features and immune clusters associated with survival. |
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ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-023-38891-x |