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pmid:32821117

miR-30d Induced Apoptosis by Targeting Sox4 to Inhibit the Proliferation, Invasion and Migration of Nephroblastoma.

Shi Zong · Jia Zhao · Ling Liu

OncoTargets and therapy · 2020 doi:10.2147/OTT.S251714

Paper

complete

Experiment

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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:32821117
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science-record
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sha256:cf532ca21fe4351e06553068c514b5c1f40f19fdf10c77281e1a6db76008ff00
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:08Z
updated_at
2026-11-01T22:45:13Z
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paper object · 10 fields
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title
miR-30d Induced Apoptosis by Targeting Sox4 to Inhibit the Proliferation, Invasion and Migration of Nephroblastoma.
doi
10.2147/OTT.S251714
pmid
32821117
authors array · 3 items
[0]
Shi Zong
[1]
Jia Zhao
[2]
Ling Liu
journal
OncoTargets and therapy
year
2020
abstract
BACKGROUND: Wilms tumor (WT) is an embryonic malignant tumor, and its related mechanism is still unclear. microRNA (miR), as a short-chain non-coding RNA, has low expression in various tumors. In this study, WT differential miR was screened by multi-chip in GEO database and its mechanism was explored to provide potential therapeutic targets and ideas for clinic. METHODS: We logged into GEO database and downloaded GSE57370 and GSE48137 chip matrix files to analyze potential differences in miR. TargetScan, miRDB, miRTarBase and starBase were applied to predict the target genes of miR with significant differences. qRT-PCR was applied to determine the expression of miR-30d and Sox4 in WT tissue and cell line (G401). The interaction of miR-30d with Sox4 was confirmed by qRT-PCR, Western blot and luciferase assay, respectively. CCK-8, Transwell and flow cytometry were applied to determine the proliferation, invasion, migration and apoptosis of cells. RESULTS: We found that miR-30d was low expressed in two chips. qRT-PCR showed that miR-30d was down-regulated and SOX4 was up-regulated in WT tissues and cells. The online target gene prediction software showed there was a targeted binding site between Sox4 and miR-30d. Sox4 was negatively controlled by miR-30d. Subsequent studies found that over-expression of miR-30d inhibited the proliferation, invasion, migration and induced apoptosis of C64 and WiT49 cells. In addition, Sox4 could reverse the proliferation, invasion and migration of C64 and WiT49 induced by miR-30d and induce apoptosis. CONCLUSION: miR-30d is poorly expressed in WT and can induce apoptosis and inhibit proliferation, invasion and migration by mediating Sox4.
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The processed data were analyzed for differences using limma package
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sections[3] "GEO Database Data Analysis" paragraph 2
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The processed data were analyzed for differences using limma package
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claim-data-access
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We logged into GEO database (https://www.ncbi.nlm.nih.gov/gds) to search Wilms tumor and microRNA related chips. Finally, we selected GSE57370 and GSE48137 chips, downloaded matrix file Series Matrix File (s)
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methodological
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sections[3] "GEO Database Data Analysis" paragraph 2
quote
We logged into GEO database (https://www.ncbi.nlm.nih.gov/gds) to search Wilms tumor and microRNA related chips. Finally, we selected GSE57370 and GSE48137 chips, downloaded matrix file Series Matrix File (s)
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The claim, method and evidence span published with the source article.
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the published estimate and its evidence
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We logged into GEO database (https://www.ncbi.nlm.nih.gov/gds) to search Wilms tumor and microRNA related chips. Finally, we selected GSE57370 and GSE48137 chips, downloaded matrix file Series Matrix File (s)
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We logged into GEO database (https://www.ncbi.nlm.nih.gov/gds) to search Wilms tumor and microRNA related chips. Finally, we selected GSE57370 and GSE48137 chips, downloaded matrix file Series Matrix File (s)
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102
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null
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null
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16770
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Homo sapiens
title
Circulating miRNA in serum of Wilms tumor patients
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2026-11-01T15:39:54Z
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We logged into GEO database (https://www.ncbi.nlm.nih.gov/gds) to search Wilms tumor and microRNA related chips. Finally, we selected GSE57370 and GSE48137 chips, downloaded matrix file Series Matrix File (s)
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We logged into GEO database (https://www.ncbi.nlm.nih.gov/gds) to search Wilms tumor and microRNA related chips. Finally, we selected GSE57370 and GSE48137 chips, downloaded matrix file Series Matrix File (s)
access_statement_kind
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[65]
GSM1381305
sample_count
66
group_sizes
null
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null
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16770
taxon
Homo sapiens
title
miRNA expression profiles in Wilms tumor subtypes
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2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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null
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null
note
We logged into GEO database (https://www.ncbi.nlm.nih.gov/gds) to search Wilms tumor and microRNA related chips. Finally, we selected GSE57370 and GSE48137 chips, downloaded matrix file Series Matrix File (s)
structure object · 15 fields
repository
GEO
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GEO accession URL
access_statement_verbatim
We logged into GEO database (https://www.ncbi.nlm.nih.gov/gds) to search Wilms tumor and microRNA related chips. Finally, we selected GSE57370 and GSE48137 chips, downloaded matrix file Series Matrix File (s)
access_statement_kind
repository_route_statement
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32
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17077
taxon
Homo sapiens
title
mRNA expression profiles in Wilms tumor subtypes
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2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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miR with Top 5 Differences of High and Low Expression in GSE57370 Chip
structure object · 5 fields
pmcid
PMC7419636
section_index
16
section_title
WT GEO Chip Differential miR Analysis
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Table 1
caption
miR with Top 5 Differences of High and Low Expression in GSE57370 Chip
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[0]
Gene Name
[1]
logFC
[2]
t
[3]
P value
[4]
B
[1] array · 5 items
[0]
High
[1]
[2]
[3]
[4]
[2] array · 5 items
[0]
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[1]
1.731
[2]
4.657
[3]
1.592E-05
[4]
2.651
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[0]
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[1]
1.377
[2]
3.879
[3]
2.439E-04
[4]
0.059
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[0]
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[1]
1.654
[2]
3.444
[3]
9.998E-04
[4]
−1.262
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[0]
hsa-miR-320c
[1]
1.843
[2]
3.421
[3]
1.075E-03
[4]
−1.330
[6] array · 5 items
[0]
hsa-miR-320e
[1]
1.613
[2]
3.282
[3]
1.648E-03
[4]
−1.726
[7] array · 5 items
[0]
Low
[1]
[2]
[3]
[4]
[8] array · 5 items
[0]
hsa-miR-514
[1]
−3.215
[2]
−12.051
[3]
2.373E-18
[4]
31.254
[9] array · 5 items
[0]
hsa-miR-215
[1]
−4.453
[2]
−10.716
[3]
4.198E-16
[4]
26.257
[10] array · 5 items
[0]
hsa-miR-192
[1]
−5.230
[2]
−8.857
[3]
7.624E-13
[4]
18.977
[11] array · 5 items
[0]
hsa-miR-192-3P
[1]
−1.892
[2]
−8.702
[3]
1.435E-12
[4]
18.362
[12] array · 5 items
[0]
hsa-miR-194
[1]
−5.713
[2]
−8.270
[3]
8.535E-12
[4]
16.629
locator
section[16]/table-wrap[1]#T0001
[5] object · 16 fields
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miR with Top 5 Differences of High and Low Expression in GSE48137 Chip
structure object · 5 fields
pmcid
PMC7419636
section_index
16
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WT GEO Chip Differential miR Analysis
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13
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Table 2
caption
miR with Top 5 Differences of High and Low Expression in GSE48137 Chip
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[0] array · 5 items
[0]
Gene Name
[1]
logFC
[2]
t
[3]
P value
[4]
B
[1] array · 5 items
[0]
High
[1]
[2]
[3]
[4]
[2] array · 5 items
[0]
hsa-miR-1225-5p
[1]
1.192
[2]
5.938
[3]
8.518E-07
[4]
5.737
[3] array · 5 items
[0]
hsa-miR-769-3p
[1]
1.130
[2]
5.397
[3]
4.499E-06
[4]
4.165
[4] array · 5 items
[0]
hsa-miR-642b
[1]
1.182
[2]
5.385
[3]
4.661E-06
[4]
4.132
[5] array · 5 items
[0]
hsa-miR-3692-5P
[1]
1.527
[2]
5.300
[3]
6.045E-06
[4]
3.886
[6] array · 5 items
[0]
hsa-miR-150
[1]
1.938
[2]
4.810
[3]
2.704E-05
[4]
2.473
[7] array · 5 items
[0]
Low
[1]
[2]
[3]
[4]
[8] array · 5 items
[0]
hsa-miR-514
[1]
−1.164
[2]
−6.555
[3]
1.289E-07
[4]
7.519
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[0]
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[1]
−2.299
[2]
−6.508
[3]
1.490E-07
[4]
7.382
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[0]
hsa-miR-192
[1]
−1.421
[2]
−5.495
[3]
3.326E-06
[4]
4.450
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[0]
hsa-miR-192-3P
[1]
−1.023
[2]
−5.088
[3]
1.159E-05
[4]
3.271
[12] array · 5 items
[0]
hsa-miR-194
[1]
−1.709
[2]
−4.127
[3]
2.086E-04
[4]
0.554
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section[16]/table-wrap[2]#T0002
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Relationship Between miR-30d and WT Clinical Data
structure object · 5 fields
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PMC7419636
section_index
17
section_title
Clinical Value of miR-30d in WT Children
row_count
17
column_count
5
table object · 8 fields
label
Table 3
caption
Relationship Between miR-30d and WT Clinical Data
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[2]
miR-30d
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P value
[1] array · 2 items
[0]
Low Expression (n=15)
[1]
High Expression (n=15)
[2] array · 5 items
[0]
Age
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[2]
[3]
[4]
0.713
[3] array · 4 items
[0]
[1]
≥2 years old (n=13)
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6
[3]
7
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[0]
[1]
<2 years old (n=17)
[2]
9
[3]
8
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[0]
Gender
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[2]
[3]
[4]
0.273
[6] array · 4 items
[0]
[1]
Male (n=15)
[2]
6
[3]
9
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[0]
[1]
Female (n=15)
[2]
9
[3]
6
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[0]
Histopathological type
[1]
[2]
[3]
[4]
0.028
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[0]
[1]
Favorable (FH) (n=16)
[2]
5
[3]
11
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[0]
[1]
Unfavorable (UH) (n=14)
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10
[3]
4
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[0]
NWTS stage
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[2]
[3]
[4]
0.003
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[0]
[1]
I+II (n=16)
[2]
4
[3]
12
[13] array · 4 items
[0]
[1]
III+IV (n=14)
[2]
11
[3]
3
[14] array · 5 items
[0]
Lymphatic metastasis
[1]
[2]
[3]
[4]
0.031
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[0]
[1]
Transferred (n=7)
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6
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1
[16] array · 4 items
[0]
[1]
Non-transferred (n=23)
[2]
9
[3]
14
locator
section[17]/table-wrap[1]#T0003
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asset:data:geo:GSE48137 not downloaded
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asset:data:geo:GSE48137 licence not read
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asset:data:geo:GSE57370 not downloaded
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asset:data:geo:GSE57370 licence not read
[4]
asset:data:geo:GSE66405 not downloaded
[5]
asset:data:geo:GSE66405 licence not read
analysis object · 4 fields
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partial
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method-1
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differential_expression
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limma_voom
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differential_expression_fit
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count_matrix_with_condition
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The processed data were analyzed for differences using limma package
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group_comparison
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two_or_more_groups_continuous
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contingency_analysis
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Categorical (contingency table) analysis
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chi_square_test
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categorical_cross_tabulation
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0.8
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high
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method.reader_differs_from_extractor
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complete
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capability:computational_analysis
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gwas
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Automated Assays Laravel application and simulated adapters
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readiness object · 8 fields
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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.
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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.
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tier
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GSE57370
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GSE48137
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GSE66405
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GSE57370
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GSE48137
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GSE66405
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We logged into GEO database (https://www.ncbi.nlm.nih.gov/gds) to search Wilms tumor and microRNA related chips. Finally, we selected GSE57370 and GSE48137 chips, downloaded matrix file Series Matrix File (s)
basis
The paper names GSE57370, GSE48137, GSE66405 in GEO database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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normalise_counts
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asset:table:pmid:32821117:1
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asset:table:pmid:32821117:2
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asset:table:pmid:32821117:3
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run_analysis
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data:geo:GSE48137
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partial
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extraction_review
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MiniMax-M3.1-Flash
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minimax
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minimax
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2026-10-31T18:21:58Z
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single_reader
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pmid:32821117
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pmid:32821117
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source:pmid:32821117
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PMID 32821117 full text
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data:geo:GSE48137
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PMID 32821117 full text
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data:geo:GSE48137
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dataset
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GEO GSE48137
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agent:corpus-assay-engine
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agent:corpus-assay-engine
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343fb30756ba6ec3
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execution.not_run
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[0]
miR-30d Induced Apoptosis by Targeting Sox4 to Inhibit the Proliferati
[1]
e the proliferation, invasion, migration and apoptosis of cells. RESULTS: We found that miR-30d was
[2]
oliferation, invasion, migration and induced apoptosis of C64 and WiT49 cells. In addition, Sox4 co
[3]
C64 and WiT49 induced by miR-30d and induce apoptosis. CONCLUSION: miR-30d is poorly expressed in
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paper_text_order:0
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assay:1
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miR-30d with Sox4 was confirmed by qRT-PCR, Western blot and luciferase assay, respectively. CCK-8, T
order_basis
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se assay, respectively. CCK-8, Transwell and flow cytometry were applied to determine the proliferation,
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32821117", "kind": "science-record", "revision": 9, "content_hash": "sha256:cf532ca21fe4351e06553068c514b5c1f40f19fdf10c77281e1a6db76008ff00", "created_at": "2026-11-01T15:41:08Z", "updated_at": "2026-11-01T22:45:13Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "miR-30d Induced Apoptosis by Targeting Sox4 to Inhibit the Proliferation, Invasion and Migration of Nephroblastoma.", "doi": "10.2147/OTT.S251714", "pmid": "32821117", "authors": ["Shi Zong", "Jia Zhao", "Ling Liu"], "journal": "OncoTargets and therapy", "year": 2020, "abstract": "BACKGROUND: Wilms tumor (WT) is an embryonic malignant tumor, and its related mechanism is still unclear. microRNA (miR), as a short-chain non-coding RNA, has low expression in various tumors. In this study, WT differential miR was screened by multi-chip in GEO database and its mechanism was explored to provide potential therapeutic targets and ideas for clinic.\nMETHODS: We logged into GEO database and downloaded GSE57370 and GSE48137 chip matrix files to analyze potential differences in miR. TargetScan, miRDB, miRTarBase and starBase were applied to predict the target genes of miR with significant differences. qRT-PCR was applied to determine the expression of miR-30d and Sox4 in WT tissue and cell line (G401). The interaction of miR-30d with Sox4 was confirmed by qRT-PCR, Western blot and luciferase assay, respectively. CCK-8, Transwell and flow cytometry were applied to determine the proliferation, invasion, migration and apoptosis of cells.\nRESULTS: We found that miR-30d was low expressed in two chips. qRT-PCR showed that miR-30d was down-regulated and SOX4 was up-regulated in WT tissues and cells. The online target gene prediction software showed there was a targeted binding site between Sox4 and miR-30d. Sox4 was negatively controlled by miR-30d. Subsequent studies found that over-expression of miR-30d inhibited the proliferation, invasion, migration and induced apoptosis of C64 and WiT49 cells. In addition, Sox4 could reverse the proliferation, invasion and migration of C64 and WiT49 induced by miR-30d and induce apoptosis.\nCONCLUSION: miR-30d is poorly expressed in WT and can induce apoptosis and inhibit proliferation, invasion and migration by mediating Sox4.", "claims": [{"id": "claim-method", "statement": "The processed data were analyzed for differences using limma package", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32821117", "locator": "sections[3] \"GEO Database Data Analysis\" paragraph 2", "quote": "The processed data were analyzed for differences using limma package"}], "state": "complete"}, {"id": "claim-data-access", "statement": "We logged into GEO database (https://www.ncbi.nlm.nih.gov/gds) to search Wilms tumor and microRNA related chips. Finally, we selected GSE57370 and GSE48137 chips, downloaded matrix file Series Matrix File (s)", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32821117", "locator": "sections[3] \"GEO Database Data Analysis\" paragraph 2", "quote": "We logged into GEO database (https://www.ncbi.nlm.nih.gov/gds) to search Wilms tumor and microRNA related chips. Finally, we selected GSE57370 and GSE48137 chips, downloaded matrix file Series Matrix File (s)"}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:32821117"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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