Evidence map›Paper›PMID 31888560›Full record

ArticleBMC cancer2019

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

Hoon Young Suh, Hongyoon Choi, Jin Chul Paeng, Gi Jeong Cheon, June-Key Chung, Keon Wook Kang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 48 citations in OpenAlex.

  1. Molecular Diagnostics and [Thyroid : official journal of the American Thyroid Association · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Hoon Young SuhDepartment of Nuclear Medicine, Seoul National University Hospital, 28 Yongon-Dong, Jongno-Gu, Seoul, 03080, Republic of Korea.
Hongyoon ChoiDepartment of Nuclear Medicine, Seoul National University Hospital, 28 Yongon-Dong, Jongno-Gu, Seoul, 03080, Republic of Korea. chy1000@snu.ac.kr.
Jin Chul PaengDepartment of Nuclear Medicine, Seoul National University Hospital, 28 Yongon-Dong, Jongno-Gu, Seoul, 03080, Republic of Korea.
Gi Jeong CheonDepartment of Nuclear Medicine, Seoul National University Hospital, 28 Yongon-Dong, Jongno-Gu, Seoul, 03080, Republic of Korea.
June-Key ChungDepartment of Nuclear Medicine, Seoul National University Hospital, 28 Yongon-Dong, Jongno-Gu, Seoul, 03080, Republic of Korea.
Keon Wook KangDepartment of Nuclear Medicine, Seoul National University Hospital, 28 Yongon-Dong, Jongno-Gu, Seoul, 03080, Republic of Korea.
Seoul National University Hospital · KR

Funding

Seoul National University Hospital 2620180060
6 · The paper itself

Abstract

backgroundThe 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).

methodsWe 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.

resultsIn 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.

conclusionsAs 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 registrationNot applicable.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkersCarcinogenesisCell DifferentiationExcitatory Amino Acid Transporter 2FemaleGene Expression Regulation, NeoplasticGlucoseGlucose Metabolism DisordersGlycolysisHumansMaleMiddle AgedBiomarkersBRAF protein, humanExcitatory Amino Acid Transporter 2GlucoseProto-Oncogene Proteins B-rafGlucose metabolismGLUTGlycolysisThyroid cancerTumor differentiation

Identifiers

PMID31888560
PMCPMC6937781
OpenAlexW2998092132

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.