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Comprehensive gene expression analysis for exploring the association between glucose metabolism and differentiation of thyroid cancer

DC Field Value Language
dc.contributor.authorSuh, Hoon Young-
dc.contributor.authorChoi, Hongyoon-
dc.contributor.authorPaeng, Jin Chul-
dc.contributor.authorCheon, Gi Jeong-
dc.contributor.authorChung, June-Key-
dc.contributor.authorKang, Keon Wook-
dc.date.accessioned2020-04-01T06:58:38Z-
dc.date.available2020-04-01T16:15:03Z-
dc.date.issued2019-12-30-
dc.identifier.citationBMC Cancer, 19(1):1260ko_KR
dc.identifier.issn1471-2466-
dc.identifier.uri10.1186/s12885-019-6482-7-
dc.identifier.urihttps://hdl.handle.net/10371/164890-
dc.description.abstractBackground
The principle of loss of iodine uptake and increased glucose metabolism according to dedifferentiation of thyroid cancer is clinically assessed by imaging. Though these biological properties are widely applied to appropriate iodine therapy, the understanding of the genomic background of this principle is still lacking. We investigated the association between glucose metabolism and differentiation in advanced thyroid cancer as well as papillary thyroid cancer (PTC).

Methods
We used RNA sequencing of 505 patients with PTC obtained from the Cancer Genome Archives and microarray data of poorly-differentiated and anaplastic thyroid cancer (PDTC/ATC). The signatures of GLUT and glycolysis were estimated to assess glucose metabolic profiles. The glucose metabolic profiles were associated with tumor differentiation score (TDS) and BRAFV600E mutation status. In addition, survival analysis of glucose metabolic profiles was performed for predicting recurrence-free survival.

Results
In PTC, the glycolysis signature was positively correlated with TDS, while the GLUT signature was inversely correlated with TDS. These correlations were significantly stronger in the BRAFV600E negative group than the positive group. Meanwhile, both GLUT and glycolysis signatures were negatively correlated with TDS in advanced thyroid cancer. The high glycolysis signature was significantly associated with poor prognosis in PTC in spite of high TDS. The glucose metabolic profiles are intricately associated with tumor differentiation in PTC and PDTC/ATC.

Conclusions
As glycolysis was an independent prognostic marker, we suggest that the glucose metabolism features of thyroid cancer could be another biological progression marker different from differentiation and provide clinical implications for risk stratification.

Trial registration
Not applicable.
ko_KR
dc.description.sponsorshipThis research was supported by grant no. 2620180060 from the SNUH Research Fund and a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (HI19C0339). The funder had no role in designing the study, in collection, analysis, and interpretation
of data, or in writing the manuscript.
ko_KR
dc.language.isoenko_KR
dc.publisherBMCko_KR
dc.subjectGlucose metabolism-
dc.subjectThyroid cancer-
dc.subjectTumor differentiation-
dc.subjectGlycolysis-
dc.subjectGLUT-
dc.titleComprehensive gene expression analysis for exploring the association between glucose metabolism and differentiation of thyroid cancerko_KR
dc.typeArticleko_KR
dc.contributor.AlternativeAuthor서훈영-
dc.contributor.AlternativeAuthor최홍윤-
dc.contributor.AlternativeAuthor팽진철-
dc.contributor.AlternativeAuthor전기정-
dc.contributor.AlternativeAuthor정준기-
dc.contributor.AlternativeAuthor강건욱-
dc.citation.journaltitleBMC Cancerko_KR
dc.language.rfc3066en-
dc.rights.holderThe Author(s).-
dc.date.updated2020-01-06T11:24:53Z-
dc.citation.number1ko_KR
dc.citation.startpage1260ko_KR
dc.citation.volume19ko_KR
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