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pmid:33558447

Combined identification of ARID1A, CSMD1, and SENP3 as effective prognostic biomarkers for hepatocellular carcinoma.

Yuanyuan Zhao · Bo Yang · Dong Chen · Xiaojun Zhou · Meixi Wang · Jipin Jiang · Lai Wei · Zhishui Chen

Aging · 2021 doi:10.18632/aging.202586

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:33558447
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science-record
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created_at
2026-11-01T15:41:24Z
updated_at
2026-11-01T22:03:04Z
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paper object · 10 fields
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title
Combined identification of ARID1A, CSMD1, and SENP3 as effective prognostic biomarkers for hepatocellular carcinoma.
doi
10.18632/aging.202586
pmid
33558447
authors array · 8 items
[0]
Yuanyuan Zhao
[1]
Bo Yang
[2]
Dong Chen
[3]
Xiaojun Zhou
[4]
Meixi Wang
[5]
Jipin Jiang
[6]
Lai Wei
[7]
Zhishui Chen
journal
Aging
year
2021
abstract
BACKGROUND: The current study aimed to understand the genetic landscape and investigate the diagnostic and prognostic biomarkers of primary hepatocellular carcinoma (HCC). METHODS: A cohort of 36 Chinese HCC samples with hepatitis B virus (HBV) infection was examined by whole-exome sequencing (WES). Prognosis-related alterations were identified and further verified in the TCGA database and GSE65372 profiles in the GEO database. A Chinese replication cohort of 180 HCC samples with HBV infection was collected to evaluate the candidate genes by immunohistochemical analysis. A receiver operating characteristic (ROC) curve analysis evaluated the prognostic power of candidate genes. Finally, EdU and transwell invasion assay were performed to detect the function of candidate genes. RESULTS: A total of 11 novel genes showed a significant association with HCC in the discovery cohort. The data were verified using the GEO and TCGA databases, and the expression of ARID1A, CSMD1, and SENP was evaluated in the replication cohort. Furthermore, ARID1A, CSMD1, and SENP3 are effective prognostic biomarkers for HCC patients in the replication population. CONCLUSIONS: Molecular heterogeneity was detected in HCC patients, and ARID1A, CSMD1, and SENP3 were identified as effective HCC prognosis biomarkers. CSMD1 prevents HCC by suppressing cell invasion.
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Cox regression analysis was used to evaluate the prognostic value adjusted by patient sex, age, and AJCC stage (version VII).
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sections[21] "Statistical analysis" paragraph 2
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Cox regression analysis was used to evaluate the prognostic value adjusted by patient sex, age, and AJCC stage (version VII).
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The data have been deposited with links to BioProject accession number PRJNA607376 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/).
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sections[23] "Availability of data and materials" paragraph 2
quote
The data have been deposited with links to BioProject accession number PRJNA607376 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/).
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Read the published estimate from the source
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the published estimate and its evidence
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Homo sapiens
title
Molecular heterogeneity of multinodular hepatocellular carcinoma [gene expression]
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2026-11-01T15:39:55Z
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The data have been deposited with links to BioProject accession number PRJNA607376 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/).
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Clinical characteristics of HCC patients in the discovery population.
structure object · 5 fields
pmcid
PMC7906131
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3
section_title
Genetic mutation landscape of HCC in the discovery population
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37
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Table 1
caption
Clinical characteristics of HCC patients in the discovery population.
rows array · 37 items
[0] array · 8 items
[0]
Sample ID
[1]
Age at diagnosis (years)
[2]
Sex
[3]
Type of LPC#
[4]
Group*
[5]
Total SNVs
[6]
Total InDels
[7]
Total CNVs
[1] array · 8 items
[0]
LAAAP2T1
[1]
50
[2]
male
[3]
HCC, HBV-infected
[4]
B
[5]
65
[6]
2
[7]
0
[2] array · 8 items
[0]
LAAAP3T1
[1]
49
[2]
male
[3]
HCC, HBV-infected
[4]
B
[5]
100
[6]
6
[7]
0
[3] array · 8 items
[0]
LAAAP5T1
[1]
56
[2]
male
[3]
HCC, HBV-infected
[4]
B
[5]
381
[6]
20
[7]
0
[4] array · 8 items
[0]
LAAARTT1
[1]
51
[2]
male
[3]
HCC, HBV-infected
[4]
B
[5]
3
[6]
0
[7]
0
[5] array · 8 items
[0]
LAAATYT1
[1]
54
[2]
male
[3]
HCC, HBV-infected
[4]
C
[5]
23
[6]
1
[7]
0
[6] array · 8 items
[0]
LAAAXZT2
[1]
53
[2]
male
[3]
HCC, HBV-infected
[4]
B
[5]
21
[6]
1
[7]
0
[7] array · 8 items
[0]
LAAB4BT1
[1]
57
[2]
male
[3]
HCC, HBV-infected
[4]
A
[5]
30
[6]
1
[7]
0
[8] array · 8 items
[0]
LAABBRT1
[1]
43
[2]
male
[3]
HCC, HBV-infected
[4]
NA
[5]
144
[6]
6
[7]
4
[9] array · 8 items
[0]
LAABXST1
[1]
39
[2]
male
[3]
HCC, HBV-infected
[4]
C
[5]
78
[6]
5
[7]
1
[10] array · 8 items
[0]
LAACBFT1
[1]
59
[2]
male
[3]
HCC, HBV-infected
[4]
C
[5]
95
[6]
6
[7]
1
[11] array · 8 items
[0]
LAACERT1
[1]
47
[2]
male
[3]
HCC, HBV-infected
[4]
A
[5]
65
[6]
8
[7]
0
[12] array · 8 items
[0]
LAACLYT1
[1]
56
[2]
male
[3]
HCC, HBV-infected
[4]
C
[5]
133
[6]
1
[7]
1
[13] array · 8 items
[0]
LAACQQT1
[1]
60
[2]
male
[3]
HCC, HBV-infected
[4]
NA
[5]
462
[6]
12
[7]
0
[14] array · 8 items
[0]
LAACZ6T1
[1]
27
[2]
male
[3]
HCC, HBV-infected
[4]
A
[5]
71
[6]
1
[7]
0
[15] array · 8 items
[0]
LAADHST1
[1]
45
[2]
male
[3]
HCC, HBV-infected
[4]
B
[5]
91
[6]
5
[7]
0
[16] array · 8 items
[0]
LAADHTT2
[1]
60
[2]
male
[3]
HCC, HBV-infected
[4]
B
[5]
1
[6]
0
[7]
0
[17] array · 8 items
[0]
LAADWRT1
[1]
36
[2]
male
[3]
HCC, HBV-infected
[4]
A
[5]
69
[6]
6
[7]
0
[18] array · 8 items
[0]
LAADX9T1
[1]
34
[2]
male
[3]
HCC, HBV-infected
[4]
C
[5]
37
[6]
4
[7]
0
[19] array · 8 items
[0]
LAAEBQT1
[1]
49
[2]
male
[3]
HCC, HBV-infected
[4]
B
[5]
84
[6]
0
[7]
0
[20] array · 8 items
[0]
LAAEPST1
[1]
25
[2]
male
[3]
HCC, HBV-infected
[4]
B
[5]
31
[6]
2
[7]
0
[21] array · 8 items
[0]
LAAERTT1
[1]
36
[2]
male
[3]
HCC, HBV-infected
[4]
B
[5]
23
[6]
2
[7]
0
[22] array · 8 items
[0]
LAAFWBT1
[1]
49
[2]
male
[3]
HCC, HBV-infected
[4]
B
[5]
57
[6]
1
[7]
0
[23] array · 8 items
[0]
LAL1904T
[1]
67
[2]
male
[3]
HCC, HBV-infected
[4]
NA
[5]
148
[6]
9
[7]
0
[24] array · 8 items
[0]
LBC7309T
[1]
62
[2]
male
[3]
HCC, HBV-infected
[4]
NA
[5]
168
[6]
15
[7]
0
[25] array · 8 items
[0]
LBD8969T
[1]
49
[2]
male
[3]
HCC, HBV-infected
[4]
NA
[5]
139
[6]
6
[7]
0
[26] array · 8 items
[0]
LBD9689T
[1]
56
[2]
male
[3]
HCC, HBV-infected
[4]
NA
[5]
410
[6]
13
[7]
0
[27] array · 8 items
[0]
LBE0743T
[1]
42
[2]
male
[3]
HCC, HBV-infected
[4]
A
[5]
53
[6]
4
[7]
0
[28] array · 8 items
[0]
LBE1024T
[1]
34
[2]
male
[3]
HCC, HBV-infected
[4]
NA
[5]
21
[6]
3
[7]
1
[29] array · 8 items
[0]
LBE1400T
[1]
49
[2]
male
[3]
HCC, HBV-infected
[4]
A
[5]
56
[6]
1
[7]
0
[30] array · 8 items
[0]
LBF2989T
[1]
53
[2]
male
[3]
HCC, HBV-infected
[4]
NA
[5]
118
[6]
15
[7]
0
[31] array · 8 items
[0]
LBF3617T
[1]
54
[2]
male
[3]
HCC, HBV-infected
[4]
NA
[5]
46
[6]
2
[7]
1
[32] array · 8 items
[0]
LBF4416T
[1]
50
[2]
male
[3]
HCC, HBV-infected
[4]
NA
[5]
98
[6]
2
[7]
0
[33] array · 8 items
[0]
LBG5412T
[1]
55
[2]
male
[3]
HCC, HBV-infected
[4]
NA
[5]
49
[6]
3
[7]
0
[34] array · 8 items
[0]
LBG5819T
[1]
51
[2]
male
[3]
HCC, HBV-infected
[4]
A
[5]
695
[6]
15
[7]
3
[35] array · 8 items
[0]
LBG6756T
[1]
43
[2]
male
[3]
HCC, HBV-infected
[4]
A
[5]
49
[6]
8
[7]
0
[36] array · 8 items
[0]
LBI0230T
[1]
40
[2]
male
[3]
HCC, HBV-infected
[4]
A
[5]
117
[6]
6
[7]
0
locator
section[3]/table-wrap[1]#t1
[4] object · 16 fields
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asset:table:pmid:33558447:2
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Comparison of genes associated with HCC prognosis in groups A and B#.
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pmcid
PMC7906131
section_index
4
section_title
Prognosis-related alterations in the discovery population
row_count
6
column_count
5
table object · 8 fields
label
Table 2
caption
Comparison of genes associated with HCC prognosis in groups A and B#.
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[0] array · 5 items
[0]
Gene
[1]
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[2]
Frequency in group B
[3]
Likelihood ratio P-value in the discovery population
[4]
Adjusted P-value in GEO database
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[0]
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[1]
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[2]
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[3]
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[4]
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[2]
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[3]
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[4]
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[3] array · 5 items
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[1]
0.3
[2]
0
[3]
0.03*
[4]
0.046*
[4] array · 5 items
[0]
ARID1A
[1]
0.3
[2]
0
[3]
0.03*
[4]
0.039*
[5] array · 5 items
[0]
PCLO
[1]
0.3
[2]
0
[3]
0.03*
[4]
>0.05
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section[4]/table-wrap[1]#t2
[5] object · 16 fields
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New driver genes associated with early-recurrence and late-recurrence of HCC.
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pmcid
PMC7906131
section_index
5
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New HCC driver genes identified in the discovery population
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Table 3
caption
New driver genes associated with early-recurrence and late-recurrence of HCC.
rows array · 8 items
[0] array · 5 items
[0]
Group#
[1]
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CHASM Score
[3]
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[4]
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[0]
A
[1]
MAP4K4
[2]
0.738
[3]
1.20E-03*
[4]
0.05
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[0]
A
[1]
COX5B
[2]
0.728
[3]
1.80E-03*
[4]
0.1
[3] array · 5 items
[0]
A
[1]
ACTN3
[2]
0.712
[3]
2.20E-03*
[4]
0.1
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[0]
A
[1]
CFTR
[2]
0.698
[3]
3.80E-03*
[4]
0.1
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[0]
A
[1]
LRRC7
[2]
0.696
[3]
4.00E-03*
[4]
0.1
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[0]
C
[1]
PRKCG
[2]
0.68
[3]
1.72E-04*
[4]
0.05
[7] array · 5 items
[0]
C
[1]
SENP3
[2]
0.744
[3]
8.00E-04*
[4]
0.1
locator
section[5]/table-wrap[1]#t3
[6] object · 16 fields
id
asset:table:pmid:33558447:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:8732b33afd3abb70cdeaf13b101d8a0f25591d805e700ebd4fb09d3ef92e412f
bytes
1086
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[7]/table-wrap[1]#t4
version
null
note
Clinical characteristics of the discovery population.
structure object · 5 fields
pmcid
PMC7906131
section_index
7
section_title
ARID1A, CSMD1, and SENP3 are effective prognostic biomarkers for HBV-infected HCC patients in the replication population
row_count
21
column_count
2
table object · 8 fields
label
Table 4
caption
Clinical characteristics of the discovery population.
rows array · 21 items
[0] array · 2 items
[0]
Parameters
[1]
Validation samples for HCC (n = 175)
[1] array · 2 items
[0]
Sex (Number of males, %)
[1]
149, 85.14%
[2] array · 2 items
[0]
Age (years mean ± SD)
[1]
52.65 ± 11.26
[3] array · 2 items
[0]
Number of tumors (mean ± SD)
[1]
1.18 ± 0.48
[4] array · 2 items
[0]
Size of the tumor (cm, mean ± SD)
[1]
5.20 ± 3.25
[5] array · 2 items
[0]
Total bilirubin (μmol/L, mean ± SD)
[1]
14.37 ± 6.10
[6] array · 2 items
[0]
ALT (U/L, mean ± SD)
[1]
57.70 ± 84.01
[7] array · 2 items
[0]
ALB (g/dL, mean ± SD)
[1]
4.36 ± 0.52
[8] array · 2 items
[0]
AFP (μg/L, mean ± SD)
[1]
4846.82 ± 14002.93
[9] array · 2 items
[0]
GGT (U/L, mean ± SD)
[1]
82.37 ± 77.46
[10] array · 2 items
[0]
Liver cirrhosis (number, %)
[1]
154, 88.00%
[11] array · 2 items
[0]
AJCC staging (Version VII)
[1]
[12] array · 2 items
[0]
Stage 1 (number, %)
[1]
116, 66.29%
[13] array · 2 items
[0]
Stage 2 (number, %)
[1]
57, 32.57%
[14] array · 2 items
[0]
Stage 3 (number, %)
[1]
2, 1.14%
[15] array · 2 items
[0]
Pathology grade
[1]
[16] array · 2 items
[0]
Grade I (number, %)
[1]
1, 0.57%
[17] array · 2 items
[0]
Grade I-II (number, %)
[1]
5, 2.86%
[18] array · 2 items
[0]
Grade II (number, %)
[1]
94, 53.71%
[19] array · 2 items
[0]
Grade II-III (number, %)
[1]
28, 16.00%
[20] array · 2 items
[0]
Grade III (number, %)
[1]
47, 26.86%
locator
section[7]/table-wrap[1]#t4
[7] object · 16 fields
id
asset:table:pmid:33558447:5
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:870e19a193d921e20c901d9f4f467ebdc77d8a7386cbc9f7100e28d5a8b5d65e
bytes
504
access
open
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verified
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read_table
reader_status
available
identifier
section[7]/table-wrap[2]#t5
version
null
note
ROC curve analysis of ARID1A, CSMD1, and SENP3 expression in HCC survival prediction.
structure object · 5 fields
pmcid
PMC7906131
section_index
7
section_title
ARID1A, CSMD1, and SENP3 are effective prognostic biomarkers for HBV-infected HCC patients in the replication population
row_count
4
column_count
7
table object · 8 fields
label
Table 5
caption
ROC curve analysis of ARID1A, CSMD1, and SENP3 expression in HCC survival prediction.
rows array · 4 items
[0] array · 7 items
[0]
Parameters
[1]
Value range
[2]
Cutoff value
[3]
AUC
[4]
SE
[5]
P-value
[6]
95% CI
[1] array · 7 items
[0]
ARID1A
[1]
0–2.5
[2]
1.5
[3]
0.489
[4]
0.045
[5]
0.803
[6]
0.402–0.576
[2] array · 7 items
[0]
CSMD1
[1]
0–3
[2]
1.5
[3]
0.573
[4]
0.043
[5]
0.099
[6]
0.488–0.658
[3] array · 7 items
[0]
SENP3
[1]
0–2.5
[2]
1.2
[3]
0.609
[4]
0.042
[5]
0.013*
[6]
0.526–0.692
locator
section[7]/table-wrap[2]#t5
[8] object · 16 fields
id
asset:table:pmid:33558447:6
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:e13e6e67188d305cb04a4d953f210e321b2dd4522b383a3e09d62ff5f4106639
bytes
1059
access
open
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verified
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read_table
reader_status
available
identifier
section[7]/table-wrap[3]#t6
version
null
note
Prognostic value of ARID1A, CSMD1, and SENP3 expression in HCC using the Cox regression model.
structure object · 5 fields
pmcid
PMC7906131
section_index
7
section_title
ARID1A, CSMD1, and SENP3 are effective prognostic biomarkers for HBV-infected HCC patients in the replication population
row_count
8
column_count
5
table object · 8 fields
label
Table 6
caption
Prognostic value of ARID1A, CSMD1, and SENP3 expression in HCC using the Cox regression model.
rows array · 8 items
[0] array · 5 items
[0]
Parameters
[1]
Group 1 value
[2]
Group 2 value
[3]
Padj value
[4]
HR (95% CI)
[1] array · 5 items
[0]
ARID1A
[1]
≤1.5
[2]
>1.5
[3]
0.191
[4]
0.702 (0.413–1.194)
[2] array · 5 items
[0]
CSMD1
[1]
<1.5
[2]
≥1.5
[3]
0.125
[4]
1.425 (0.906–2.241)
[3] array · 5 items
[0]
SENP3
[1]
≤1.2
[2]
>1.2
[3]
0.032*
[4]
1.858 (1.054–3.272)
[4] array · 5 items
[0]
ARID1A and CSMD1
[1]
≤1.5 for ARID1A and ≥1.5 for CSMD1
[2]
>1.5 for ARID1A or <1.5 for CSMD1
[3]
0.218
[4]
0.685 (0.375–1.251)
[5] array · 5 items
[0]
ARID1A and SENP3
[1]
≤1.5 for ARID1A and >1.2 for SENP3
[2]
>1.5 for ARID1A or ≤1.2 for SENP3
[3]
0.038*
[4]
0.554 (0.317–0.969)
[6] array · 5 items
[0]
CSMD1 and SENP3
[1]
≥1.5 for CSMD1 and >1.2 for SENP3
[2]
<1.5 for CSMD1 or ≤1.2 for SENP3
[3]
0.006*
[4]
0.535 (0.342–0.837)
[7] array · 5 items
[0]
ARID1A and CSMD1 and SENP3
[1]
≤1.5 for ARID1A and ≥1.5 for CSMD1 or >1.2 for SENP3
[2]
>1.5 for ARID1A or <1.5 for CSMD1 or ≤1.2 for SENP3
[3]
0.046*
[4]
0.528 (0.282–0.989)
locator
section[7]/table-wrap[3]#t6
[9] object · 16 fields
id
asset:table:pmid:33558447:7
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:e949e14a912ba3824a706bca7896524957a8fe9d0ae8ce170817c3b56a9a43f2
bytes
567
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verified
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read_table
reader_status
available
identifier
section[12]/table-wrap[1]#t7
version
null
note
siRNA sequences for ARID1A, SENP3, and CSMD1.
structure object · 5 fields
pmcid
PMC7906131
section_index
12
section_title
RNAi, cell culture, and transfection
row_count
10
column_count
2
table object · 8 fields
label
Table 7
caption
siRNA sequences for ARID1A, SENP3, and CSMD1.
rows array · 10 items
[0] array · 2 items
[0]
Name
[1]
Sequence
[1] array · 2 items
[0]
st-h-ARID1A-1
[1]
CACCTCTCCTAGCAAGTCT
[2] array · 2 items
[0]
st-h-ARID1A-2
[1]
GATCCTTATGGCAGCATGA
[3] array · 2 items
[0]
st-h-ARID1A-3
[1]
CAGGCAGCCAAACTATAAT
[4] array · 2 items
[0]
st-h-SENP3-1
[1]
GGAGGAGGATGAAGATGAA
[5] array · 2 items
[0]
st-h-SENP3-2
[1]
CCAGCATCCTCATCAGCAA
[6] array · 2 items
[0]
st-h-SENP3-3
[1]
GCAGGACATGCCCAAACTT
[7] array · 2 items
[0]
st-h-CSMD1-1
[1]
GGACAAGCATCGTTTGAAA
[8] array · 2 items
[0]
st-h-CSMD1-2
[1]
GGATGATGATTTCGAAATA
[9] array · 2 items
[0]
st-h-CSMD1-3
[1]
GAACCAAACTACAACATTA
locator
section[12]/table-wrap[1]#t7
gaps array · 4 items
[0]
asset:data:geo:GSE65372 not downloaded
[1]
asset:data:geo:GSE65372 licence not read
[2]
asset:data:geo:PRJNA607376 not downloaded
[3]
asset:data:geo:PRJNA607376 licence not read
analysis object · 4 fields
state
complete
methods array · 3 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
Cox regression analysis was used to evaluate the prognostic value adjusted by patient sex, age, and AJCC stage (version VII).
[1] object · 10 fields
id
method-2
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
log-rank
[2] object · 10 fields
id
method-3
family
diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
dsl_operations array · 6 items
[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.8
band
high
quote
ROC curve
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
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
accessions array · 2 items
[0]
GSE65372
[1]
PRJNA607376
resolved_accessions array · 1 item
[0]
GSE65372
statements array · 1 item
[0]
The data have been deposited with links to BioProject accession number PRJNA607376 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/).
basis
The paper names GSE65372 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
cox_ph
assets array · 9 items
[0]
source:pmid:33558447
[1]
data:geo:GSE65372
[2]
asset:table:pmid:33558447:1
[3]
asset:table:pmid:33558447:2
[4]
asset:table:pmid:33558447:3
[5]
asset:table:pmid:33558447:4
[6]
asset:table:pmid:33558447:5
[7]
asset:table:pmid:33558447:6
[8]
asset:table:pmid:33558447:7
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE65372
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-10-31T18:26:49Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
31540
completion_tokens
1486
cached_tokens
792
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
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review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:33558447
type
paper
label
pmid:33558447
[1] object · 3 fields
id
source:pmid:33558447
type
manuscript
label
PMID 33558447 full text
[2] object · 3 fields
id
data:geo:GSE65372
type
dataset
label
GEO GSE65372
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
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pmid:33558447
type
paper
label
pmid:33558447
[1] object · 3 fields
id
source:pmid:33558447
type
manuscript
label
PMID 33558447 full text
[2] object · 3 fields
id
data:geo:GSE65372
type
dataset
label
GEO GSE65372
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-33558447
type
extraction
used array · 1 item
[0]
source:pmid:33558447
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE65372
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE65372
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:33558447
parent_hash
sha256:c16d09872323ce343156d3b6f59dbca8f099e24a07e207946e8bc41077e238fa
fork_of
null
gaps array · 8 items
[0]
asset:data:geo:GSE65372 licence not read
[1]
asset:data:geo:GSE65372 not downloaded
[2]
asset:data:geo:PRJNA607376 licence not read
[3]
asset:data:geo:PRJNA607376 not downloaded
[4]
execution.not_run
[5]
review.human_critique
[6]
review.independent_reader
[7]
review.machine_critique
assays array · 5 items
[0] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
collected to evaluate the candidate genes by immunohistochemical analysis. A receiver operating characteristi
[1]
Co. Ltd, Shanghai, China) was performed for immunohistochemical (IHC) analysis. HCC samples were diagnosed b
[2]
nd SENP3 in tumor and paracarcinoma tissues. Immunofluorescence staining, ×200. A paired-samples t-test was
[3]
these patients are presented in Table 4. The IHC analysis of ARID1A, CSMD1, and SENP3 protein
order_basis
paper_text_order:620
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
microarray
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
ed on ARID1A, CSMD1, and SENP3 during tissue microarray analysis of 180 HCC samples paired with tumo
[1]
5, 26]. For the replication cohort, a tissue microarray of 180 HCC samples with HBV infection paired
order_basis
paper_text_order:1608
id
assay:2
[2] object · 11 fields
role
data_generation
definition_id
transfection
definition_version
99e1195c7d6f
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assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
stological analysis. RNAi, cell culture, and transfection Hep3B cell line was purchased from ATCC (Ame
[1]
target sequences are listed in Table 7. For transfection, the cells were seeded at a density of 1×105
[2]
05 cells/well for 24 h. Then, the cells were transfected with siRNA fragments and negative control si
[3]
24 h. Then, the cells were transfected with siRNA fragments and negative control siRNAs. siRNA
order_basis
paper_text_order:6476
id
assay:3
[3] object · 11 fields
role
data_generation
definition_id
cell_culture
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.77
evidence array · 1 item
[0]
Culture Collection, Rockville, MD, USA) and cultured in RPMI-1640 medium supplemented with 10% fetal
order_basis
paper_text_order:6589
id
assay:4
[4] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Cox regression analysis was used to evaluate the prognostic value adjusted by patient sex, age, and AJCC stage (version VII).
order_basis
consumes_earlier_output
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assay:5
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33558447", "kind": "science-record", "revision": 7, "content_hash": "sha256:74dd728a2790a953db605d2b808c5fdfaff9c93f4de877e5fb3137b6b839866f", "created_at": "2026-11-01T15:41:24Z", "updated_at": "2026-11-01T22:03:04Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Combined identification of ARID1A, CSMD1, and SENP3 as effective prognostic biomarkers for hepatocellular carcinoma.", "doi": "10.18632/aging.202586", "pmid": "33558447", "authors": ["Yuanyuan Zhao", "Bo Yang", "Dong Chen", "Xiaojun Zhou", "Meixi Wang", "Jipin Jiang", "Lai Wei", "Zhishui Chen"], "journal": "Aging", "year": 2021, "abstract": "BACKGROUND: The current study aimed to understand the genetic landscape and investigate the diagnostic and prognostic biomarkers of primary hepatocellular carcinoma (HCC).\nMETHODS: A cohort of 36 Chinese HCC samples with hepatitis B virus (HBV) infection was examined by whole-exome sequencing (WES). Prognosis-related alterations were identified and further verified in the TCGA database and GSE65372 profiles in the GEO database. A Chinese replication cohort of 180 HCC samples with HBV infection was collected to evaluate the candidate genes by immunohistochemical analysis. A receiver operating characteristic (ROC) curve analysis evaluated the prognostic power of candidate genes. Finally, EdU and transwell invasion assay were performed to detect the function of candidate genes.\nRESULTS: A total of 11 novel genes showed a significant association with HCC in the discovery cohort. The data were verified using the GEO and TCGA databases, and the expression of ARID1A, CSMD1, and SENP was evaluated in the replication cohort. Furthermore, ARID1A, CSMD1, and SENP3 are effective prognostic biomarkers for HCC patients in the replication population.\nCONCLUSIONS: Molecular heterogeneity was detected in HCC patients, and ARID1A, CSMD1, and SENP3 were identified as effective HCC prognosis biomarkers. 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associated with HCC prognosis in groups A and B#.", "rows": [["Gene", "Frequency in group A", "Frequency in group B", "Likelihood ratio P-value in the discovery population", "Adjusted P-value in GEO database"], ["TP53", "0.6", "0.40", ">0.05", ">0.05"], ["CTNNB1", "0.4", "0.20", "0.018*", ">0.05"], ["KMT2C", "0.3", "0", "0.03*", "0.046*"], ["ARID1A", "0.3", "0", "0.03*", "0.039*"], ["PCLO", "0.3", "0", "0.03*", ">0.05"]], "row_count": 6, "column_count": 5, "numeric_cells": 21, "header_rows": 0, "locator": "section[4]/table-wrap[1]#t2"}}, {"id": "asset:table:pmid:33558447:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:7356d51ef8c1d1dcc7dcdf3959a49bf787e55c5f18f3fc5e3dde84cdc260bdd6", "bytes": 553, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[5]/table-wrap[1]#t3", "version": null, "note": "New driver genes associated with early-recurrence and late-recurrence of HCC.", "structure": {"pmcid": "PMC7906131", "section_index": 5, "section_title": "New HCC driver genes identified in the discovery population", "row_count": 8, "column_count": 5}, "table": {"label": "Table 3", "caption": "New driver genes associated with early-recurrence and late-recurrence of HCC.", "rows": [["Group#", "Gene", "CHASM Score", "P-value", "FDR"], ["A", "MAP4K4", "0.738", "1.20E-03*", "0.05"], ["A", "COX5B", "0.728", "1.80E-03*", "0.1"], ["A", "ACTN3", "0.712", "2.20E-03*", "0.1"], ["A", "CFTR", "0.698", "3.80E-03*", "0.1"], ["A", "LRRC7", "0.696", "4.00E-03*", "0.1"], ["C", "PRKCG", "0.68", "1.72E-04*", "0.05"], ["C", "SENP3", "0.744", "8.00E-04*", "0.1"]], "row_count": 8, "column_count": 5, "numeric_cells": 21, "header_rows": 0, "locator": "section[5]/table-wrap[1]#t3"}}, {"id": "asset:table:pmid:33558447:4", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": 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"table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:e13e6e67188d305cb04a4d953f210e321b2dd4522b383a3e09d62ff5f4106639", "bytes": 1059, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[7]/table-wrap[3]#t6", "version": null, "note": "Prognostic value of ARID1A, CSMD1, and SENP3 expression in HCC using the Cox regression model.", "structure": {"pmcid": "PMC7906131", "section_index": 7, "section_title": "ARID1A, CSMD1, and SENP3 are effective prognostic biomarkers for HBV-infected HCC patients in the replication population", "row_count": 8, "column_count": 5}, "table": {"label": "Table 6", "caption": "Prognostic value of ARID1A, CSMD1, and SENP3 expression in HCC using the Cox regression model.", "rows": [["Parameters", "Group 1 value", "Group 2 value", "Padj value", "HR (95% CI)"], ["ARID1A", "≤1.5", ">1.5", "0.191", "0.702 (0.413–1.194)"], ["CSMD1", "<1.5", "≥1.5", "0.125", "1.425 (0.906–2.241)"], ["SENP3", "≤1.2", ">1.2", "0.032*", "1.858 (1.054–3.272)"], ["ARID1A and CSMD1", "≤1.5 for ARID1A and ≥1.5 for CSMD1", ">1.5 for ARID1A or <1.5 for CSMD1", "0.218", "0.685 (0.375–1.251)"], ["ARID1A and SENP3", "≤1.5 for ARID1A and >1.2 for SENP3", ">1.5 for ARID1A or ≤1.2 for SENP3", "0.038*", "0.554 (0.317–0.969)"], ["CSMD1 and SENP3", "≥1.5 for CSMD1 and >1.2 for SENP3", "<1.5 for CSMD1 or ≤1.2 for SENP3", "0.006*", "0.535 (0.342–0.837)"], ["ARID1A and CSMD1 and SENP3", "≤1.5 for ARID1A and ≥1.5 for CSMD1 or >1.2 for SENP3", ">1.5 for ARID1A or <1.5 for CSMD1 or ≤1.2 for SENP3", "0.046*", "0.528 (0.282–0.989)"]], "row_count": 8, "column_count": 5, "numeric_cells": 31, "header_rows": 0, "locator": "section[7]/table-wrap[3]#t6"}}, {"id": "asset:table:pmid:33558447:7", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": 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