Expression of glutamine metabolism-related proteins in thyroid cancer

Hye Min Kim, Yu Kyung Lee, Ja Seung Koo

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Purpose: This study aimed to investigate the expression of glutamine metabolismrelated protein in tumor and stromal compartments among the histologic subtypes of thyroid cancer. Results: GLS1 and GDH expression in tumor and stromal compartments were the highest in AC than in other subtypes. Tumoral ASCT2 expression was higher in MC but lower in FC (p < 0.001). In PTC, tumoral GLS1 and tumoral GDH expression was higher in the conventional type than in the follicular variant (p = 0.043 and 0.001, respectively), and in PTC with BRAF V600E mutation than in PTC without BRAF V600E mutation (p < 0.001). Stromal GDH positivity was the independent factor associated with short overall survival (hazard ratio: 21.48, 95% confidence interval: 2.178-211.8, p = 0.009). Methods: We performed tissue microarrays with 557 thyroid cancer cases (papillary thyroid carcinoma [PTC]: 344, follicular carcinoma [FC]: 112, medullary carcinoma [MC]: 70, poorly differentiated carcinoma [PDC]: 23, and anaplastic carcinoma [AC]: 8) and 152 follicular adenoma (FA) cases. We performed immunohistochemical staining of glutaminolysis-related proteins (glutaminase 1 [GLS1], glutamate dehydrogenase [GDH], and amino acid transporter-2 [ASCT-2]). Conclusion: Glutamine metabolism-related protein expression differed among the histologic subtypes of thyroid cancer.

Original languageEnglish
Pages (from-to)53628-53641
Number of pages14
JournalOncotarget
Volume7
Issue number33
DOIs
Publication statusPublished - 2016 Aug 1

Bibliographical note

Funding Information:
This study was supported by a grant from the National R and D Program for Cancer Control, Ministry of Health & Welfare, Republic of Korea (1420080). This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2015R1A1A1A05001209).

All Science Journal Classification (ASJC) codes

  • Oncology

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