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- Title
Glucose metabolic profiles evaluated by PET associated with molecular characteristic landscape of gastric cancer.
- Authors
Bae, Seong-Woo; Berlth, Felix; Jeong, Kyoung-Yun; Park, Ji-Hyeon; Choi, Jong-Ho; Park, Shin-Hoo; Suh, Yun-Suhk; Kong, Seong-Ho; Park, Do-Joong; Lee, Hyuk-Joon; Lee, Charles; Kim, Jong-Il; Youn, Hyewon; Choi, Hongyoon; Cheon, Gi Jeong; Kang, Keon Wook; Yang, Han-Kwang
- Abstract
Background: Although FDG-PET is widely used in cancer, its role in gastric cancer (GC) is still controversial due to variable [18F]fluorodeoxyglucose ([18F]FDG) uptake. Here, we sought to develop a genetic signature to predict high FDG-avid GC to plan individualized PET and investigate the molecular landscape of GC and its association with glucose metabolic profiles noninvasively evaluated by [18F]FDG-PET. Methods: Based on a genetic signature, PETscore, representing [18F]FDG avidity, was developed by imaging data acquired from thirty patient-derived xenografts (PDX). The PETscore was validated by [18F]FDG-PET data and gene expression data of human GC. The PETscore was associated with genomic and transcriptomic profiles of GC using The Cancer Genome Atlas. Results: Five genes, PLS1, PYY, HBQ1, SLC6A5, and NAT16, were identified for the predictive model for [18F]FDG uptake of GC. The PETscore was validated in independent PET data of human GC with qRT-PCR and RNA-sequencing. By applying PETscore on TCGA, a significant association between glucose uptake and tumor mutational burden as well as genomic alterations were identified. Conclusion: Our findings suggest that molecular characteristics are underlying the diverse metabolic profiles of GC. Diverse glucose metabolic profiles may apply to precise diagnostic and therapeutic approaches for GC.
- Subjects
STOMACH cancer; GLUCOSE; SOMATIC mutation; GENE expression; THERAPEUTICS; POSITRON emission tomography; WARBURG Effect (Oncology)
- Publication
Gastric Cancer, 2022, Vol 25, Issue 1, p149
- ISSN
1436-3291
- Publication type
Article
- DOI
10.1007/s10120-021-01223-3