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pmid:30353105

SAC3D1: a novel prognostic marker in hepatocellular carcinoma.

Myoung-Eun Han · Ji-Young Kim · Ga Hyun Kim · Si Young Park · Yun Hak Kim · Sae-Ock Oh

Scientific reports · 2018 doi:10.1038/s41598-018-34129-9

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
id
pmid:30353105
kind
science-record
content_hash
sha256:7e681fd1c775edc258bd9536a611f4c90b627bd0711a40e5d60b79b3d66fc94f
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:40:38Z
updated_at
2026-11-01T21:21:43Z
generator object · 2 fields
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paper object · 10 fields
state
complete
title
SAC3D1: a novel prognostic marker in hepatocellular carcinoma.
doi
10.1038/s41598-018-34129-9
pmid
30353105
authors array · 6 items
[0]
Myoung-Eun Han
[1]
Ji-Young Kim
[2]
Ga Hyun Kim
[3]
Si Young Park
[4]
Yun Hak Kim
[5]
Sae-Ock Oh
journal
Scientific reports
year
2018
abstract
Centrosome-associated proteins are recognized as prognostic factors in many cancers because centrosomes are critical structures for the cell cycle progression and genomic stability. SAC3D1, however, is associated with centrosome abnormality, although its prognostic potential has not been evaluated in hepatocellular carcinoma (HCC). In this study, 3 independent cohorts (GSE10186, n = 80; TCGA, n = 330 and ICGC, n = 237) were used to assess SAC3D1 as a biomarker, which demonstrated SAC3D1 overexpression in HCC tissues when compared to the matched normal tissues. Kaplan-Meier survival analysis also showed that its overexpression was associated with poor prognosis of HCC with good discriminative ability in 3 independent cohorts (GSE10186, P = 0.00469; TCGA, P = 0.0000413 and ICGC, P = 0.0000114). Analysis of the C-indices and AUC values further supported its discriminative ability. Finally, multivariate analysis confirmed its prognostic significance (GSE10186, P = 0.00695; TCGA, P = 0.0000289 and ICGC, P = 0.0000651). These results suggest a potential of SAC3D1 as a biomarker for HCC.
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We used univariate and multivariate Cox regression analyses to compare the effect of SAC3D1 on prognosis along with other clinical variables.
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methodological
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null
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sections[10] "Survival analysis" paragraph 2
quote
We used univariate and multivariate Cox regression analyses to compare the effect of SAC3D1 on prognosis along with other clinical variables.
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All data generated or analysed during this study are included in this published article (and its Supplementary Information files).
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sections[17] "notes" paragraph 1
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All data generated or analysed during this study are included in this published article (and its Supplementary Information files).
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the published estimate and its evidence
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Run the published analysis
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Apply the paper's statistical method to the resolved series and compare the result with the published target.
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https://doi.org/10.1038/s41598-018-34129-9
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PMC6199250
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Patients’ information used in current research in the GSE10186, TCGA and ICGC cohorts.
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PMC6199250
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Results
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Table 1
caption
Patients’ information used in current research in the GSE10186, TCGA and ICGC cohorts.
rows array · 8 items
[0] array · 4 items
[0]
[1]
GSE10186 (n = 80)
[2]
TCGA (n = 330)
[3]
ICGC (n = 237)
[1] array · 5 items
[0]
Stage
[1]
I
[2]
—
[3]
165
[4]
—
[2] array · 4 items
[0]
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[1]
—
[2]
80
[3]
—
[3] array · 4 items
[0]
III
[1]
—
[2]
82
[3]
—
[4] array · 4 items
[0]
IV
[1]
—
[2]
3
[3]
—
[5] array · 5 items
[0]
Subgroups
[1]
Alcohol consumption
[2]
47
[3]
103
[4]
—
[6] array · 4 items
[0]
Hepatitis B
[1]
19
[2]
98
[3]
—
[7] array · 4 items
[0]
Hepatitis C
[1]
58
[2]
50
[3]
—
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section[2]/table-wrap[1]#Tab1
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Comparison of SAC3D1 expression values between HCC and matched normal liver tissues.
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pmcid
PMC6199250
section_index
3
section_title
Overexpression of SAC3D1 in HCC
row_count
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Table 2
caption
Comparison of SAC3D1 expression values between HCC and matched normal liver tissues.
rows array · 6 items
[0] array · 3 items
[0]
[1]
HCC
[2]
Normal liver
[1] array · 4 items
[0]
SAC3D1 expression value
[1]
Minimum
[2]
0.8808
[3]
0.4274
[2] array · 3 items
[0]
1st quarter
[1]
3.3515
[2]
1.2910
[3] array · 3 items
[0]
Median
[1]
5.0427
[2]
1.6796
[4] array · 3 items
[0]
3rd quarter
[1]
7.5542
[2]
2.2805
[5] array · 4 items
[0]
[1]
Maximum
[2]
41.8287
[3]
13.0589
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section[3]/table-wrap[1]#Tab2
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section[4]/table-wrap[1]#Tab3
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Univariate and multivariate analysis of overall survival in each cohort (*, **, *** indicate significance at the <0.05, <0.01, <0.001).
structure object · 5 fields
pmcid
PMC6199250
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4
section_title
Prognostic significance of SAC3D1 in HCC
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21
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9
table object · 8 fields
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Table 3
caption
Univariate and multivariate analysis of overall survival in each cohort (*, **, *** indicate significance at the <0.05, <0.01, <0.001).
rows array · 21 items
[0] array · 3 items
[0]
Parameters
[1]
Univariate analysis
[2]
Multivariate analysis
[1] array · 6 items
[0]
P
[1]
HR
[2]
95 Cl
[3]
P
[4]
HR
[5]
95 Cl
[2] array · 1 item
[0]
GSE10186
[3] array · 9 items
[0]
Alcohol
[1]
0.797
[2]
1.097
[3]
0.4513
[4]
1.842
[5]
—
[6]
—
[7]
—
[8]
—
[4] array · 9 items
[0]
Hepatitis B
[1]
0.712
[2]
1.156
[3]
0.5347
[4]
2.501
[5]
—
[6]
—
[7]
—
[8]
—
[5] array · 9 items
[0]
Hepatitis C
[1]
0.859
[2]
0.9341
[3]
0.4411
[4]
1.978
[5]
—
[6]
—
[7]
—
[8]
—
[6] array · 9 items
[0]
SAC3D1
[1]
0.00739**
[2]
2.9517
[3]
1.337
[4]
6.516
[5]
0.00695**
[6]
3.0229
[7]
1.3539
[8]
6.7490
[7] array · 1 item
[0]
TCGA
[8] array · 9 items
[0]
Age
[1]
0.189
[2]
0.9903
[3]
0.9952
[4]
1.025
[5]
—
[6]
—
[7]
—
[8]
—
[9] array · 9 items
[0]
Stage(I, II vs III, IV)
[1]
3.03e-6***
[2]
2.4341
[3]
1.675
[4]
3.536
[5]
9.92e-5***
[6]
2.1853
[7]
1.4742
[8]
3.2394
[10] array · 9 items
[0]
Gender(female vs male)
[1]
0.212
[2]
0.786
[3]
0.5385
[4]
1.147
[5]
—
[6]
—
[7]
—
[8]
—
[11] array · 9 items
[0]
Histologic grade(G1, 2 vs G3, 4)
[1]
0.674
[2]
1.084
[3]
0.7439
[4]
1.580
[5]
—
[6]
—
[7]
—
[8]
—
[12] array · 9 items
[0]
SAC3D1
[1]
0.0001***
[2]
2.5158
[3]
1.578
[4]
4.011
[5]
2.89e-5***
[6]
2.7560
[7]
1.7137
[8]
4.4323
[13] array · 9 items
[0]
Alcohol consumption
[1]
0.691
[2]
0.9194
[3]
0.6078
[4]
1.391
[5]
—
[6]
—
[7]
—
[8]
—
[14] array · 9 items
[0]
Hepatitis B
[1]
4.95e-5***
[2]
0.3515
[3]
0.2121
[4]
0.5824
[5]
9.35e-5***
[6]
0.3256
[7]
0.1855
[8]
0.5717
[15] array · 9 items
[0]
Hepatitis C
[1]
0.628
[2]
1.136
[3]
0.6773
[4]
1.907
[5]
—
[6]
—
[7]
—
[8]
—
[16] array · 1 item
[0]
ICGC
[17] array · 9 items
[0]
Age
[1]
0.918
[2]
1.002
[3]
0.9714
[4]
1.033
[5]
—
[6]
—
[7]
—
[8]
—
[18] array · 9 items
[0]
Stage(I, II vs III, IV)
[1]
0.0085**
[2]
2.249
[3]
1.23
[4]
4.111
[5]
0.012*
[6]
2.8855
[7]
1.5174
[8]
5.4869
[19] array · 9 items
[0]
Gender(female vs male)
[1]
0.282*
[2]
0.4980
[3]
0.2671
[4]
0.9284
[5]
0.0053**
[6]
0.3871
[7]
0.1986
[8]
0.7543
[20] array · 9 items
[0]
SAC3D1
[1]
5.61e-5***
[2]
3.646
[3]
1.943
[4]
6.842
[5]
6.51e-5***
[6]
3.6307
[7]
1.9282
[8]
6.8364
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section[4]/table-wrap[1]#Tab3
[4] object · 16 fields
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section[5]/table-wrap[1]#Tab4
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note
C-index values of the specified parameters with respect to SAC3D1 and other established prognostic gene expressions in the GSE10186, TCGA, and ICGC cohorts.
structure object · 5 fields
pmcid
PMC6199250
section_index
5
section_title
Biomarker performance of SAC3D1 in HCC
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table object · 8 fields
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Table 4
caption
C-index values of the specified parameters with respect to SAC3D1 and other established prognostic gene expressions in the GSE10186, TCGA, and ICGC cohorts.
rows array · 24 items
[0] array · 2 items
[0]
Gene name
[1]
C-index (GSE10186)
[1] array · 6 items
[0]
All
[1]
Alcohol
[2]
Hepatitis B
[3]
Hepatitis C
[4]
[5]
[2] array · 7 items
[0]
SAC3D1
[1]
0.661
[2]
0.572
[3]
0.510
[4]
0.673
[5]
[6]
[3] array · 7 items
[0]
BIRC5
[1]
0.619
[2]
0.524
[3]
0.440
[4]
0.668
[5]
[6]
[4] array · 7 items
[0]
CD34
[1]
0.545
[2]
0.565
[3]
0.461
[4]
0.537
[5]
[6]
[5] array · 7 items
[0]
GPC3
[1]
0.510
[2]
0.507
[3]
0.643
[4]
0.394
[5]
[6]
[6] array · 7 items
[0]
MKI67
[1]
0.404
[2]
0.374
[3]
0.353
[4]
0.358
[5]
[6]
[7] array · 7 items
[0]
TP53
[1]
0.361
[2]
0.255
[3]
0.181
[4]
0.346
[5]
[6]
[8] array · 2 items
[0]
Gene name
[1]
C-index (TCGA)
[9] array · 6 items
[0]
All
[1]
Alcohol
[2]
Hepatitis B
[3]
Hepatitis C
[4]
Stage I & II
[5]
Stage III & IV
[10] array · 7 items
[0]
SAC3D1
[1]
0.594
[2]
0.543
[3]
0.651
[4]
0.615
[5]
0.577
[6]
0.619
[11] array · 7 items
[0]
BIRC5
[1]
0.646
[2]
0.518
[3]
0.595
[4]
0.532
[5]
0.590
[6]
0.705
[12] array · 7 items
[0]
CD34
[1]
0.375
[2]
0.561
[3]
0.461
[4]
0.568
[5]
0.374
[6]
0.420
[13] array · 7 items
[0]
GPC3
[1]
0.516
[2]
0.552
[3]
0.531
[4]
0.530
[5]
0.507
[6]
0.605
[14] array · 7 items
[0]
MKI67
[1]
0.637
[2]
0.438
[3]
0.481
[4]
0.536
[5]
0.615
[6]
0.605
[15] array · 7 items
[0]
TP53
[1]
0.457
[2]
0.566
[3]
0.390
[4]
0.511
[5]
0.401
[6]
0.589
[16] array · 2 items
[0]
Gene name
[1]
C-index (ICGC)
[17] array · 7 items
[0]
[1]
All
[2]
[3]
[4]
[5]
[6]
[18] array · 7 items
[0]
SAC3D1
[1]
0.710
[2]
[3]
[4]
[5]
[6]
[19] array · 7 items
[0]
BIRC5
[1]
0.766
[2]
[3]
[4]
[5]
[6]
[20] array · 7 items
[0]
CD34
[1]
0.425
[2]
[3]
[4]
[5]
[6]
[21] array · 7 items
[0]
GPC3
[1]
0.608
[2]
[3]
[4]
[5]
[6]
[22] array · 7 items
[0]
MKI67
[1]
0.707
[2]
[3]
[4]
[5]
[6]
[23] array · 7 items
[0]
TP53
[1]
0.461
[2]
[3]
[4]
[5]
[6]
locator
section[5]/table-wrap[1]#Tab4
[5] object · 16 fields
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AUC values at 5 years for the specified parameters with respect to each gene in the GSE10186 and TCGA cohorts.
structure object · 5 fields
pmcid
PMC6199250
section_index
5
section_title
Biomarker performance of SAC3D1 in HCC
row_count
16
column_count
7
table object · 8 fields
label
Table 5
caption
AUC values at 5 years for the specified parameters with respect to each gene in the GSE10186 and TCGA cohorts.
rows array · 16 items
[0] array · 2 items
[0]
Gene name
[1]
AUC value at 5 years (GSE10186)
[1] array · 6 items
[0]
All
[1]
Alcohol
[2]
Hepatitis B
[3]
Hepatitis C
[4]
[5]
[2] array · 7 items
[0]
SAC3D1
[1]
0.567
[2]
0.490
[3]
0.443
[4]
0.588
[5]
[6]
[3] array · 7 items
[0]
BIRC5
[1]
0.517
[2]
0.544
[3]
0.443
[4]
0.526
[5]
[6]
[4] array · 7 items
[0]
CD34
[1]
0.534
[2]
0.501
[3]
0.454
[4]
0.550
[5]
[6]
[5] array · 7 items
[0]
GPC3
[1]
0.484
[2]
0.539
[3]
0.622
[4]
0.391
[5]
[6]
[6] array · 7 items
[0]
MKI67
[1]
0.434
[2]
0.488
[3]
0.433
[4]
0.385
[5]
[6]
[7] array · 7 items
[0]
TP53
[1]
0.334
[2]
0.239
[3]
0.210
[4]
0.331
[5]
[6]
[8] array · 2 items
[0]
Gene name
[1]
AUC value at 5 years (TCGA)
[9] array · 6 items
[0]
All
[1]
Alcohol
[2]
Hepatitis B
[3]
Hepatitis C
[4]
Stage I & II
[5]
Stage III & IV
[10] array · 7 items
[0]
SAC3D1
[1]
0.580
[2]
0.597
[3]
0.608
[4]
0.606
[5]
0.644
[6]
0.353
[11] array · 7 items
[0]
BIRC5
[1]
0.627
[2]
0.603
[3]
0.542
[4]
0.500
[5]
0.651
[6]
0.474
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CD34
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0.386
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0.521
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0.435
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0.847
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0.395
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0.435
[13] array · 7 items
[0]
GPC3
[1]
0.536
[2]
0.605
[3]
0.260
[4]
0.392
[5]
0.572
[6]
0.580
[14] array · 7 items
[0]
MKI67
[1]
0.586
[2]
0.465
[3]
0.423
[4]
0.419
[5]
0.624
[6]
0.410
[15] array · 7 items
[0]
TP53
[1]
0.528
[2]
0.540
[3]
0.463
[4]
0.622
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0.520
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locator
section[5]/table-wrap[2]#Tab5
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survival_analysis
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Survival analysis
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cox_ph
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time_to_event_with_censoring
evidence object · 3 fields
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1
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verbatim
quote
We used univariate and multivariate Cox regression analyses to compare the effect of SAC3D1 on prognosis along with other clinical variables.
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method-2
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survival_analysis
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kaplan_meier
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Survival analysis
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[0]
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time_to_event_with_censoring
evidence object · 3 fields
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Kaplan-Meier
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capability:computational_analysis
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meta_analysis
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survival_analysis
[3]
statistical_regression
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[5]
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[6]
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gwas
candidate
Automated Assays Laravel application and simulated adapters
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blocked
tier
R4
blocked_on
data:accession_absent
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tier
R1
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true
required_operations array · 1 item
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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
R4
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All data generated or analysed during this study are included in this published article (and its Supplementary Information files).
basis
The paper names no accession to its source data, so the data has to come from the authors.
can_run object · 3 fields
dsl_operations array · 1 item
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cox_ph
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source:pmid:30353105
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asset:table:pmid:30353105:2
[3]
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[4]
asset:table:pmid:30353105:4
[5]
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gaps array · 1 item
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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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verbatim
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verbatim
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source:pmid:30353105
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manuscript
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PMID 30353105 full text
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data:geo:None
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GEO None
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PMID 30353105 full text
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We used univariate and multivariate Cox regression analyses to compare the effect of SAC3D1 on prognosis along with other clinical variables.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:30353105", "kind": "science-record", "revision": 6, "content_hash": "sha256:7e681fd1c775edc258bd9536a611f4c90b627bd0711a40e5d60b79b3d66fc94f", "created_at": "2026-11-01T15:40:38Z", "updated_at": "2026-11-01T21:21:43Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "SAC3D1: a novel prognostic marker in hepatocellular carcinoma.", "doi": "10.1038/s41598-018-34129-9", "pmid": "30353105", "authors": ["Myoung-Eun Han", "Ji-Young Kim", "Ga Hyun Kim", "Si Young Park", "Yun Hak Kim", "Sae-Ock Oh"], "journal": "Scientific reports", "year": 2018, "abstract": "Centrosome-associated proteins are recognized as prognostic factors in many cancers because centrosomes are critical structures for the cell cycle progression and genomic stability. SAC3D1, however, is associated with centrosome abnormality, although its prognostic potential has not been evaluated in hepatocellular carcinoma (HCC). In this study, 3 independent cohorts (GSE10186, n = 80; TCGA, n = 330 and ICGC, n = 237) were used to assess SAC3D1 as a biomarker, which demonstrated SAC3D1 overexpression in HCC tissues when compared to the matched normal tissues. Kaplan-Meier survival analysis also showed that its overexpression was associated with poor prognosis of HCC with good discriminative ability in 3 independent cohorts (GSE10186, P = 0.00469; TCGA, P = 0.0000413 and ICGC, P = 0.0000114). Analysis of the C-indices and AUC values further supported its discriminative ability. Finally, multivariate analysis confirmed its prognostic significance (GSE10186, P = 0.00695; TCGA, P = 0.0000289 and ICGC, P = 0.0000651). These results suggest a potential of SAC3D1 as a biomarker for HCC.", "claims": [{"id": "claim-method", "statement": "We used univariate and multivariate Cox regression analyses to compare the effect of SAC3D1 on prognosis along with other clinical variables.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30353105", "locator": "sections[10] \"Survival analysis\" paragraph 2", "quote": "We used univariate and multivariate Cox regression analyses to compare the effect of SAC3D1 on prognosis along with other clinical variables."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data generated or analysed during this study are included in this published article (and its Supplementary Information files).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30353105", "locator": "sections[17] \"notes\" paragraph 1", "quote": "All data generated or analysed during this study are included in this published article (and its Supplementary Information files)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "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:30353105"], "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": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. 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