Multi-omic features of oesophageal adenocarcinoma in patients treated with preoperative neoadjuvant therapy.
Marjan Mojtabavi NaeiniFelicity NewellLauren G AoudeVanessa F BonazziKalpana PatelGuy LampeLambros T KoufariotisVanessa LakisVenkateswar AddalaOlga KondrashovaRebecca L JohnstonSowmya SharmaSandra BrosdaOliver HolmesConrad LeonardScott WoodQinying XuJanine ThomasEuan WalpoleG Tao MaiStephen P AcklandJarad MartinMatthew BurgeRobert FinchChristos S KarapetisJenny ShannonLouise NottRobert BohmerKate WilsonElizabeth BarnesJohn R ZalcbergBernard Mark SmithersJohn SimesTimothy PriceVal GebskiKatia NonesDavid I WatsonJohn V PearsonAndrew P BarbourNicola WaddellPublished in: Nature communications (2023)
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.
Keyphrases
- clinical trial
- phase ii
- copy number
- study protocol
- poor prognosis
- end stage renal disease
- positron emission tomography
- open label
- epithelial mesenchymal transition
- computed tomography
- squamous cell carcinoma
- phase iii
- chronic kidney disease
- genome wide
- ejection fraction
- randomized controlled trial
- newly diagnosed
- dna methylation
- double blind
- prognostic factors
- rectal cancer
- peritoneal dialysis
- free survival
- cell cycle arrest
- acute myeloid leukemia
- long non coding rna
- dendritic cells
- radiation therapy
- mesenchymal stem cells
- electronic health record
- single cell
- oxidative stress
- gene expression
- bone marrow
- machine learning
- stem cells
- cell therapy
- artificial intelligence
- liver injury
- big data
- deep learning
- immune response
- patient reported
- data analysis