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pmid:30774662

Integrated Bioinformatics Analysis of Hub Genes and Pathways in Anaplastic Thyroid Carcinomas.

Xueren Gao · Jianguo Wang · Shulong Zhang

International journal of endocrinology · 2019 doi:10.1155/2019/9651380

Paper

complete

Experiment

complete

Data

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Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:30774662
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science-record
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2026-11-01T15:40:42Z
updated_at
2026-11-01T22:43:49Z
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paper object · 10 fields
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complete
title
Integrated Bioinformatics Analysis of Hub Genes and Pathways in Anaplastic Thyroid Carcinomas.
doi
10.1155/2019/9651380
pmid
30774662
authors array · 3 items
[0]
Xueren Gao
[1]
Jianguo Wang
[2]
Shulong Zhang
journal
International journal of endocrinology
year
2019
abstract
Anaplastic thyroid carcinoma (ATC) is a very rare malignancy; the pathogenesis of which is still not fully understood. The aim of the present study was to identify hub genes and pathways in ATC by microarray expression profiling. Two independent datasets (GSE27155 and GSE53072) were downloaded from GEO database. The differentially expressed genes (DEGs) between ATC tissues and normal thyroid tissues were screened out by the limma package and then enriched by gene ontology (GO) and KEGG pathway analysis. The hub genes were selected by protein-protein interaction (PPI) analysis. A total of 141 common upregulated and 87 common downregulated genes were screened out. These DEGs were significantly enriched in the phagosome and NF-kappa B signaling pathway. Through PPI analysis, TOP2A, TYMS, CCNB1, RACGAP1, FEN1, PRC1, and UBE2C were selected as hub genes, which were highly expressed in ATC tissues. TCGA data suggested that the expression levels of TOP2A, TYMS, FEN1, and PRC1 genes were also upregulated in other histological subtypes of thyroid carcinoma. High expression of TOP2A, TYMS, FEN1, PRC1, or UBE2C gene significantly decreased disease-free survival of patients with other thyroid carcinomas. In conclusion, the present study identified several hub genes and pathways, which will contribute to elucidating the pathogenesis of ATC and providing therapeutic targets for ATC.
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The microarray data used to support the findings of this study have been deposited in the Gene Expression Omnibus (GEO) repository (accession numbers: GSE27155 and GSE53072).
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sections[13] "Data Availability" paragraph 2
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The microarray data used to support the findings of this study have been deposited in the Gene Expression Omnibus (GEO) repository (accession numbers: GSE27155 and GSE53072).
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The microarray data used to support the findings of this study have been deposited in the Gene Expression Omnibus (GEO) repository (accession numbers: GSE27155 and GSE53072).
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GEO
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GEO accession URL
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The microarray data used to support the findings of this study have been deposited in the Gene Expression Omnibus (GEO) repository (accession numbers: GSE27155 and GSE53072).
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data_availability_statement
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GSM671353
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99
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null
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null
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96
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Homo sapiens
title
Human thyroid adenomas, carcinomas, and normals
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2026-11-01T15:39:54Z
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identifier_resolution_only_no_download_no_licence_read
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE53072
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null
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null
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GSE53072
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null
note
The microarray data used to support the findings of this study have been deposited in the Gene Expression Omnibus (GEO) repository (accession numbers: GSE27155 and GSE53072).
structure object · 15 fields
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GEO
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GEO accession URL
access_statement_verbatim
The microarray data used to support the findings of this study have been deposited in the Gene Expression Omnibus (GEO) repository (accession numbers: GSE27155 and GSE53072).
access_statement_kind
data_availability_statement
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[8]
GSM1281644
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null
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6244
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Homo sapiens
title
Gene expression profilling of anaplastic thyroid carcinomas (ATC) and normal thyroid tissues
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2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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note
The common differentially expressed genes in GSE27155 and GSE53072 datasets. Note: bold and italic data indicate genes in the phagosome and NF-kappa B signaling pathway, respectively. Bold-italic data indicates the common gene in the phagosome and NF-kappa B signaling pathway.
structure object · 5 fields
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PMC6350566
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10
section_title
3.1. Identification of DEGs
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24
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table object · 8 fields
label
Table 1
caption
The common differentially expressed genes in GSE27155 and GSE53072 datasets. Note: bold and italic data indicate genes in the phagosome and NF-kappa B signaling pathway, respectively. Bold-italic data indicates the common gene in the phagosome and NF-kappa B signaling pathway.
rows array · 24 items
[0] array · 1 item
[0]
Common differentially expressed genes
[1] array · 2 items
[0]
Downregulated genes
[1]
Upregulated genes
[2] array · 11 items
[0]
MAN1C1
[1]
CA4
[2]
WASF3
[3]
HSD17B4
[4]
C1QA
[5]
NCF2
[6]
CLEC7A
[7]
RAB31
[8]
COL5A2
[9]
CCNB1
[10]
RAP2C
[3] array · 11 items
[0]
PBX1
[1]
KCNJ16
[2]
CLN5
[3]
MYLIP
[4]
CLIC4
[5]
ASPM
[6]
RECQL
[7]
PMAIP1
[8]
COL6A3
[9]
VCAN
[10]
IRAKI
[4] array · 11 items
[0]
Clorfll5
[1]
PTPRM
[2]
RCBTB1
[3]
HSD17B8
[4]
CDC20
[5]
KIF14
[6]
TUBA1A
[7]
ADGRE5
[8]
CDC25B
[9]
LMNB1
[10]
FLNA
[5] array · 11 items
[0]
MARC2
[1]
TXNL1
[2]
TSHR
[3]
MTCH1
[4]
VCAM1
[5]
LBR
[6]
RACGAP1
[7]
TPM4
[8]
TPX2
[9]
TGFBI
[10]
TAGLN2
[6] array · 11 items
[0]
MARC1
[1]
CIRBP
[2]
SAV1
[3]
KHDRBS2
[4]
GPSM2
[5]
ARID5B
[6]
CORO1C
[7]
COLGALT1
[8]
UBE2C
[9]
SLC36A1
[10]
C3AR1
[7] array · 11 items
[0]
RAP1GAP
[1]
BCAM
[2]
DI02
[3]
LMBRD1
[4]
GNAI3
[5]
PLAU
[6]
CIT
[7]
VASP
[8]
CTSA
[9]
LHFPL2
[10]
TYMS
[8] array · 11 items
[0]
ECHDC2
[1]
TLE2
[2]
CKB
[3]
SLC26A4
[4]
CD53
[5]
ZWINT
[6]
ALOX5AP
[7]
EMP3
[8]
ADRM1
[9]
CD14
[10]
WIPF1
[9] array · 11 items
[0]
PLPP3
[1]
PAX8
[2]
PPP1R13B
[3]
EPHB6
[4]
IFI16
[5]
MICAL2
[6]
PNP
[7]
PLIN3
[8]
B4GALT5
[9]
TTK
[10]
OSMR
[10] array · 11 items
[0]
SELENBP1
[1]
LRP2
[2]
SORD
[3]
ATP6V0E2
[4]
FCER1G
[5]
MS4A4A
[6]
RNASE6
[7]
DDX39A
[8]
ITGB2
[9]
RAB32
[10]
KIF4A
[11] array · 11 items
[0]
RGS5
[1]
ACADL
[2]
DUOX1
[3]
TMEM243
[4]
FCGR2A
[5]
FEN1
[6]
BAZ1A
[7]
BST2
[8]
YWHAH
[9]
TUBB2A
[10]
[12] array · 11 items
[0]
ALDH9A1
[1]
RAB17
[2]
CRABP1
[3]
EPHX2
[4]
FCGR2B
[5]
NNMT
[6]
SEC23A
[7]
TYROBP
[8]
LGALS1
[9]
CLIC1
[10]
[13] array · 11 items
[0]
RGS16
[1]
SNTA1
[2]
DUOX2
[3]
TG
[4]
PTPRC
[5]
RHOG
[6]
NUSAP1
[7]
AP2S1
[8]
RAC2
[9]
HLA-DPA1
[10]
[14] array · 11 items
[0]
HHEX
[1]
INPP5J
[2]
GATM
[3]
TJP2
[4]
TRAF5
[5]
LPXN
[6]
ANXA2
[7]
RRM2
[8]
GNL3
[9]
TNFRSF21
[10]
[15] array · 11 items
[0]
PRKCQ
[1]
CBX7
[2]
MY05C
[3]
NTRK2
[4]
DTL
[5]
MS4A6A
[6]
PKM
[7]
MTHFD2
[8]
CD86
[9]
THBS2
[10]
[16] array · 11 items
[0]
NEBL
[1]
ACOX2
[2]
DAPK2
[3]
FOXE1
[4]
ENOl
[5]
PPP1R14B
[6]
PRC1
[7]
TMSB10
[8]
SMC4
[9]
UPP1
[10]
[17] array · 11 items
[0]
OGDHL
[1]
ZBED2
[2]
ABAT
[3]
BSPRY
[4]
LAPTM5
[5]
Cl lorf24
[6]
CHSY1
[7]
SLC20A1
[8]
HCLS1
[9]
TMEM176B
[10]
[18] array · 11 items
[0]
ABLIM1
[1]
HGD
[2]
SALL1
[3]
CCL21
[4]
YARS
[5]
CTSC
[6]
CCL13
[7]
ACTR3
[8]
TOPBP1
[9]
EIF4EBP1
[10]
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[0]
FGFR2
[1]
LIMCH1
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CDH16
[3]
ALDH1A1
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DPYD
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TUBA1C
[6]
KPNA2
[7]
COL3A1
[8]
TFRC
[9]
MCM4
[10]
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[0]
GLB1L2
[1]
PPARGC1A
[2]
ALDH3A2
[3]
CLIC3
[4]
MTMR11
[5]
LYZ
[6]
SLC16A3
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PXDN
[8]
TLR2
[9]
LY96
[10]
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[0]
METTL7A
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HOPX
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DUSP14
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RGN
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S100A10
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[6]
EVI2A
[7]
MCM6
[8]
H2AFZ
[9]
ANXA2P2
[10]
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[0]
PEBP1
[1]
SORBS2
[2]
HLF
[3]
GPRASP1
[4]
S100A11
[5]
TNFRSF1A
[6]
TOP2A
[7]
RND3
[8]
BASP1
[9]
TNC
[10]
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[0]
IFT88
[1]
PDE8B
[2]
NAP1L2
[3]
[4]
AIM2
[5]
CD163
[6]
COL1A1
[7]
FAP
[8]
SLC1A3
[9]
PLP2
[10]
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section[10]/table-wrap[1]#tab1
gaps array · 4 items
[0]
asset:data:geo:GSE27155 not downloaded
[1]
asset:data:geo:GSE27155 licence not read
[2]
asset:data:geo:GSE53072 not downloaded
[3]
asset:data:geo:GSE53072 licence not read
analysis object · 4 fields
state
complete
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[0] object · 10 fields
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method-1
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differential_expression
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limma_voom
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Differential expression analysis
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[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
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[0]
count_matrix_with_condition
evidence object · 3 fields
score
1
band
reordered
quote
“The Benjamini-Hochberg (BH) method was introduced to adjust the raw p values.”
[1] object · 10 fields
id
method-2
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network_analysis
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ppi_network
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Network / pathway analysis
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[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
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medium
quote
protein-protein interaction
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method-3
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network_analysis
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Network / pathway analysis
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[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
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0.8
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high
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Pathway Enrichment
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complete
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[0] object · 6 fields
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[4]
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[6]
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[7]
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[8]
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candidate
Automated Assays Laravel application and simulated adapters
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readiness object · 8 fields
state
complete
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R1
blocked_on
nothing:replicable_now
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[0]
normalise_counts
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differential_expression_fit
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fdr_bh
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basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
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[0]
GSE27155
[1]
GSE53072
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[0]
GSE27155
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GSE53072
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[0]
The microarray data used to support the findings of this study have been deposited in the Gene Expression Omnibus (GEO) repository (accession numbers: GSE27155 and GSE53072).
basis
The paper names GSE27155, GSE53072 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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dsl_operations array · 3 items
[0]
normalise_counts
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differential_expression_fit
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:30774662", "kind": "science-record", "revision": 8, "content_hash": "sha256:12f71cb226b7a0db47407f2dcbcca965cfabae756e0f5cc0fc5e5d3293e4d8f1", "created_at": "2026-11-01T15:40:42Z", "updated_at": "2026-11-01T22:43:49Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Integrated Bioinformatics Analysis of Hub Genes and Pathways in Anaplastic Thyroid Carcinomas.", "doi": "10.1155/2019/9651380", "pmid": "30774662", "authors": ["Xueren Gao", "Jianguo Wang", "Shulong Zhang"], "journal": "International journal of endocrinology", "year": 2019, "abstract": "Anaplastic thyroid carcinoma (ATC) is a very rare malignancy; the pathogenesis of which is still not fully understood. The aim of the present study was to identify hub genes and pathways in ATC by microarray expression profiling. Two independent datasets (GSE27155 and GSE53072) were downloaded from GEO database. The differentially expressed genes (DEGs) between ATC tissues and normal thyroid tissues were screened out by the limma package and then enriched by gene ontology (GO) and KEGG pathway analysis. The hub genes were selected by protein-protein interaction (PPI) analysis. A total of 141 common upregulated and 87 common downregulated genes were screened out. These DEGs were significantly enriched in the phagosome and NF-kappa B signaling pathway. Through PPI analysis, TOP2A, TYMS, CCNB1, RACGAP1, FEN1, PRC1, and UBE2C were selected as hub genes, which were highly expressed in ATC tissues. TCGA data suggested that the expression levels of TOP2A, TYMS, FEN1, and PRC1 genes were also upregulated in other histological subtypes of thyroid carcinoma. High expression of TOP2A, TYMS, FEN1, PRC1, or UBE2C gene significantly decreased disease-free survival of patients with other thyroid carcinomas. 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