| Literature DB >> 26446169 |
Anguraj Sadanandam1, Stephan Wullschleger2, Costas A Lyssiotis3, Carsten Grötzinger4, Stefano Barbi5, Samantha Bersani5, Jan Körner4, Ismael Wafy2, Andrea Mafficini5, Rita T Lawlor5, Michele Simbolo5, John M Asara6, Hendrik Bläker7, Lewis C Cantley3, Bertram Wiedenmann4, Aldo Scarpa8, Douglas Hanahan9.
Abstract
UNLABELLED: Seeking to assess the representative and instructive value of an engineered mouse model of pancreatic neuroendocrine tumors (PanNET) for its cognate human cancer, we profiled and compared mRNA and miRNA transcriptomes of tumors from both. Mouse PanNET tumors could be classified into two distinctive subtypes, well-differentiated islet/insulinoma tumors (IT) and poorly differentiated tumors associated with liver metastases, dubbed metastasis-like primary (MLP). Human PanNETs were independently classified into these same two subtypes, along with a third, specific gene mutation-enriched subtype. The MLP subtypes in human and mouse were similar to liver metastases in terms of miRNA and mRNA transcriptome profiles and signature genes. The human/mouse MLP subtypes also similarly expressed genes known to regulate early pancreas development, whereas the IT subtypes expressed genes characteristic of mature islet cells, suggesting different tumorigenesis pathways. In addition, these subtypes exhibit distinct metabolic profiles marked by differential pyruvate metabolism, substantiating the significance of their separate identities. SIGNIFICANCE: This study involves a comprehensive cross-species integrated analysis of multi-omics profiles and histology to stratify PanNETs into subtypes with distinctive characteristics. We provide support for the RIP1-TAG2 mouse model as representative of its cognate human cancer with prospects to better understand PanNET heterogeneity and consider future applications of personalized cancer therapy. ©2015 American Association for Cancer Research.Entities:
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Year: 2015 PMID: 26446169 PMCID: PMC4946251 DOI: 10.1158/2159-8290.CD-15-0068
Source DB: PubMed Journal: Cancer Discov ISSN: 2159-8274 Impact factor: 39.397