Integrative analysis of KRAS wildtype metastatic pancreatic ductal adenocarcinoma reveals mutation and expression-based similarities to cholangiocarcinoma.
James T TophamErica S TsangJoanna M KarasinskaAndrew MetcalfeHassan AliSteve E KallogerVeronika CsizmokLaura M WilliamsonEmma TitmussKarina NielsenGian Luca NegriSandra Elizabeth SpencerGun Ho JangRobert E DenrocheHui-Li WongGrainne M O'KaneRichard A MooreAndrew J MungallJonathan M LoreeFaiyaz NottaJulie M WilsonOliver F BathePatricia A TangRachel GoodwinGregg B MorinJennifer J KnoxSteven GallingerJanessa LaskinMarco A MarraSteven J M JonesDavid F SchaefferDaniel J RenoufPublished in: Nature communications (2022)
Oncogenic KRAS mutations are absent in approximately 10% of patients with metastatic pancreatic ductal adenocarcinoma (mPDAC) and may represent a subgroup of mPDAC with therapeutic options beyond standard-of-care cytotoxic chemotherapy. While distinct gene fusions have been implicated in KRAS wildtype mPDAC, information regarding other types of mutations remain limited, and gene expression patterns associated with KRAS wildtype mPDAC have not been reported. Here, we leverage sequencing data from the PanGen trial to perform comprehensive characterization of the molecular landscape of KRAS wildtype mPDAC and reveal increased frequency of chr1q amplification encompassing transcription factors PROX1 and NR5A2. By leveraging data from colorectal adenocarcinoma and cholangiocarcinoma samples, we highlight similarities between cholangiocarcinoma and KRAS wildtype mPDAC involving both mutation and expression-based signatures and validate these findings using an independent dataset. These data further establish KRAS wildtype mPDAC as a unique molecular entity, with therapeutic opportunities extending beyond gene fusion events.
Keyphrases
- wild type
- gene expression
- genome wide
- transcription factor
- electronic health record
- squamous cell carcinoma
- healthcare
- big data
- small cell lung cancer
- single cell
- palliative care
- clinical trial
- copy number
- machine learning
- randomized controlled trial
- radiation therapy
- locally advanced
- binding protein
- single molecule
- long non coding rna
- artificial intelligence
- health information
- data analysis
- rectal cancer
- pain management
- nucleic acid