Longitudinal morphomics and metabolomics as metastatic pancreatic cancer prognosticators.

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Authors: Valerie Gunchick, Edward Brown, MD PhD Stewart Wang, Grace L. Su, Vaibhav Sahai
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Abstract

781 Background: Morphomics evaluates patients’ body composition, including subcutaneous fat, visceral fat, muscle, and fascia, from radiologic scans. Pancreatic ductal adenocarcinoma (PDA) is an aggressive malignancy with few prognosticators. We previously showed baseline morphomics were associated with PDA survival. Here, we study how morphomic variables change over time, are associate with survival, and investigate morphomics and metabolism as potentially modifiable targets to improve patient survival. Methods: Of 528 metastatic PDA patients enrolled on the phase 3 Avenger500 trial, patients without a baseline and follow-up CT scan were removed. To reduce potential effects of reverse causation, patients with

Fields of Study & Subjects

Pancreatic and Hepatic Oncology Research Radiomics and Machine Learning in Medical Imaging Body Composition Measurement Techniques

Publication details

Journal / source
Journal of Clinical Oncology
Volume
44
Issue
2_suppl
Pages
781–781
Publication date
10 January 2026
Language
EN