Transcriptomic characteristics according to tumor size and SUVmax in papillary thyroid cancer patients

Sci Rep. 2024 May 14;14(1):11005. doi: 10.1038/s41598-024-61839-0.

Abstract

The SUVmax 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 SUVmax and gene expression profiles in 80 papillary thyroid cancer (PTC) patients. We conducted an analysis of DEGs and enriched pathways in relation to SUVmax and tumor size. SUVmax 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 SUVmax. Unsupervised analysis revealed that SUVmax 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 SUVmax 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 SUVmax macro-PTC but not in high SUVmax PTMC. Our findings demonstrate the molecular characteristics of high SUVmax tumor and metabolism involved in tumor growth in differentiated thyroid cancer.

Keywords: PET/CT; Papillary thyroid carcinoma; SUVmax; Transcriptomics.

MeSH terms

  • Adult
  • Aged
  • Female
  • Fluorodeoxyglucose F18
  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Male
  • Middle Aged
  • Thyroid Cancer, Papillary* / genetics
  • Thyroid Cancer, Papillary* / metabolism
  • Thyroid Cancer, Papillary* / pathology
  • Thyroid Neoplasms* / genetics
  • Thyroid Neoplasms* / metabolism
  • Thyroid Neoplasms* / pathology
  • Transcriptome*
  • Tumor Burden / genetics