Abstract
Abstract While the genetic features of pancreatic cancer are well described, the evolutionary features of this tumor type have not been systematically studied to date. We assembled a large cohort of pancreatic cancer research autopies to investigate evolutionary metrics across clinical contexts. The timing of driver mutations, including truncal and subtruncal events, do not differ significantly across stages at diagnosis or types of clinical management. However, high truncal mutation density is significantly associated with worse overall survival after adjusting for stage at diagnosis, age, smoking history and Type II diabetes status, representing a novel prognostic biomarker. Oligometastatic tumors have fewer drivers and allelic losses compared to aggressive metastases, suggesting a more genomically stable subset of tumors. These findings reveal novel insights into pancreatic cancer evolution beyond established paradigms. Citation Format: Christine Iacobuzio-Donahue. Novel insights into pancreatic cancer evolution from carcinogenesis to metastasis [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Translating Cancer Evolution and Data Science: The Next Frontier; 2023 Dec 3-6; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(3 Suppl_2):Abstract nr IA005.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
