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Glucose metabolic profiles evaluated by PET associated with molecular characteristic landscape of gastric cancer

Authors :
Seong-Woo, Bae
Felix, Berlth
Kyoung-Yun, Jeong
Ji-Hyeon, Park
Jong-Ho, Choi
Shin-Hoo, Park
Yun-Suhk, Suh
Seong-Ho, Kong
Do-Joong, Park
Hyuk-Joon, Lee
Charles, Lee
Jong-Il, Kim
Hyewon, Youn
Hongyoon, Choi
Gi Jeong, Cheon
Keon Wook, Kang
Han-Kwang, Yang
Source :
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association. 25(1)
Publication Year :
2021

Abstract

Although FDG-PET is widely used in cancer, its role in gastric cancer (GC) is still controversial due to variable [Based on a genetic signature, PETscore, representing [Five genes, PLS1, PYY, HBQ1, SLC6A5, and NAT16, were identified for the predictive model for [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.

Details

ISSN :
14363305
Volume :
25
Issue :
1
Database :
OpenAIRE
Journal :
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Accession number :
edsair.pmid..........27371bcd3b71daf55f334f4a550d8344