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Transcriptomic characteristics according to tumor size and SUV max in papillary thyroid cancer patients.

Authors :
Ju SH
Lee SE
Yi S
Choi NR
Kim KH
Kim SM
Koh JY
Kim SK
Kim SY
Heo JY
Park JO
Park S
Koo BS
Kang YE
Source :
Scientific reports [Sci Rep] 2024 May 14; Vol. 14 (1), pp. 11005. Date of Electronic Publication: 2024 May 14.
Publication Year :
2024

Abstract

The SUV <subscript>max</subscript> is a measure of FDG uptake and is related with tumor aggressiveness in thyroid cancer, however, its association with molecular pathways is unclear. Here, we investigated the relationship between SUV <subscript>max</subscript> and gene expression profiles in 80 papillary thyroid cancer (PTC) patients. We conducted an analysis of DEGs and enriched pathways in relation to SUV <subscript>max</subscript> and tumor size. SUV <subscript>max</subscript> showed a positive correlation with tumor size and correlated with glucose metabolic process. The genes that indicate thyroid differentiation, such as SLC5A5 and TPO, were negatively correlated with SUV <subscript>max</subscript> . Unsupervised analysis revealed that SUV <subscript>max</subscript> positively correlated with DNA replication(r = 0.29, p = 0.009), pyrimidine metabolism(r = 0.50, p < 0.0001) and purine metabolism (r = 0.42, p = 0.0001). Based on subgroups analysis, we identified that PSG5, TFF3, SOX2, SL5A5, SLC5A7, HOXD10, FER1L6, and IFNA1 genes were found to be significantly associated with tumor aggressiveness. Both high SUV <subscript>max</subscript> PTMC and macro-PTC are enriched in pathways of DNA replication and cell cycle, however, gene sets for purine metabolic pathways are enriched only in high SUV <subscript>max</subscript> macro-PTC but not in high SUV <subscript>max</subscript> PTMC. Our findings demonstrate the molecular characteristics of high SUV <subscript>max</subscript> tumor and metabolism involved in tumor growth in differentiated thyroid cancer.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
2045-2322
Volume :
14
Issue :
1
Database :
MEDLINE
Journal :
Scientific reports
Publication Type :
Academic Journal
Accession number :
38745021
Full Text :
https://doi.org/10.1038/s41598-024-61839-0