Glucose metabolic profiles evaluated by PET associated with molecular characteristic landscape of gastric cancer.
Document Type
Article
Publication Date
1-1-2022
Publication Title
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Keywords
JGM, Fluorodeoxyglucose F18, Glucose, Glycine Plasma Membrane Transport Proteins, Humans, Metabolome, Positron-Emission Tomography, Radiopharmaceuticals, Stomach Neoplasms
JAX Source
Gastric Cancer 2022 Jan; 25(1):149-160
Volume
25
Issue
1
First Page
149
Last Page
160
ISSN
1436-3305
PMID
34363529
DOI
https://doi.org/10.1007/s10120-021-01223-3
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.
Recommended Citation
Bae S,
Berlth F,
Jeong K,
Park J,
Choi J,
Park S,
Suh Y,
Kong S,
Park D,
Lee H,
Lee C,
Kim J,
Youn H,
Choi H,
Cheon G,
Kang K,
Yang H.
Glucose metabolic profiles evaluated by PET associated with molecular characteristic landscape of gastric cancer. Gastric Cancer 2022 Jan; 25(1):149-160