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pmid:31638225

SSTR5‑AS1 functions as a ceRNA to regulate CA2 by sponging miR‑15b‑5p for the development and prognosis of HBV‑related hepatocellular carcinoma.

Jing Xu · Jing Zhang · Fenglian Shan · Jie Wen · Yue Wang

Molecular medicine reports · 2019 doi:10.3892/mmr.2019.10736

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

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pmid:31638225
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2026-11-01T15:40:50Z
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2026-11-01T22:00:55Z
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paper object · 10 fields
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title
SSTR5‑AS1 functions as a ceRNA to regulate CA2 by sponging miR‑15b‑5p for the development and prognosis of HBV‑related hepatocellular carcinoma.
doi
10.3892/mmr.2019.10736
pmid
31638225
authors array · 5 items
[0]
Jing Xu
[1]
Jing Zhang
[2]
Fenglian Shan
[3]
Jie Wen
[4]
Yue Wang
journal
Molecular medicine reports
year
2019
abstract
Long non‑coding RNAs (lncRNAs) have been implicated in the development and progression of cancer. However, the mechanisms of lncRNAs in hepatitis B virus (HBV) infection‑induced hepatocellular carcinoma (HCC) remain unclear. The study aimed to reveal the roles of lncRNAs for HBV‑HCC based on the hypothesis of competing endogenous RNA (ceRNA). The lncRNA (GSE27462), miRNA (GSE76903) and mRNA (GSE121248) expression profiles were collected from the Gene Expression Omnibus database. Differentially expressed lncRNAs (DELs), genes (DEGs) and miRNAs (DEMs) were identified using the LIMMA or EdgeR package, respectively. The ceRNA network was constructed based on interaction pairs between miRNAs and mRNAs/lncRNAs. The functions of DEGs in the ceRNA network were predicted using the DAVID database, which was overlapped with the known HCC pathways of Comparative Toxicogenomics Database (CTD) to construct the HCC‑related ceRNA network. The prognosis values [overall survival, (OS); recurrence‑free survival (RFS)] of genes were validated using the Cancer Genome Atlas (TCGA) data with Cox regression analysis. The present study screened 38 DELs, 127 DEMs and 721 DEGs. A ceRNA network was constructed among 17 DELs, 12 DEMs and 173 DEGs, including the FAM138B‑hsa‑miR‑30c‑CCNE2/RRM2 and SSTR5‑AS1‑hsa‑miR‑15b‑5p‑CA2 ceRNA axes. Function enrichment analysis revealed the genes in the ceRNA network that participated in the p53 signaling pathway [cyclin E2 (CCNE2), ribonucleotide reductase M2 subunit (RRM2)] and nitrogen metabolism [carbonic anhydrase 2 (CA2)], which were also included in the pathways of the CTD. Univariate Cox regression analysis revealed that six RNAs (2 DELs: FAM138B, SSTR5‑AS1; 2 DEMs: hsa‑miR‑149, hsa‑miR‑7; 2 DEGs: CCNE2, RRM2) were significantly associated with OS; while seven RNAs (1 DEL: LINC00284; 3 DEMs: hsa‑miR‑7, hsa‑miR‑15b, hsa‑miR‑30c‑2; and 3 DEGs: RRM2, CCNE2, CA2) were significantly associated with RFS. In conclusion, FAM138B‑hsa‑miR‑30c‑CCNE2/RRM2 and the SSTR5‑AS1‑hsa‑miR‑15b‑5p‑CA2 ceRNA axes may be important mechanisms for HBV‑related HCC.
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Univariate Cox regression analysis was performed to screen overall survival (OS) and recurrence-free survival (RFS)-related DELs, DEMs and DEGs using the survival package (version 2.42.6; http://cran.r-project.org/package=survival).
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sections[7] "Identification of prognosis-related DELs, DEMs and DEGs in the ceRNA network" paragraph 2
quote
Univariate Cox regression analysis was performed to screen overall survival (OS) and recurrence-free survival (RFS)-related DELs, DEMs and DEGs using the survival package (version 2.42.6; http://cran.r-project.org/package=survival).
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All the microarray data were downloaded from the GEO database in NCBI (http://www.ncbi.nlm.nih.gov/geo/). The mRNA and miRNA Seq-data were obtained from The Cancer Genome Atlas (TCGA; http://tcga-data.nci.nih.gov/).
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sections[17] "Availability of data and materials" paragraph 2
quote
All the microarray data were downloaded from the GEO database in NCBI (http://www.ncbi.nlm.nih.gov/geo/). The mRNA and miRNA Seq-data were obtained from The Cancer Genome Atlas (TCGA; http://tcga-data.nci.nih.gov/).
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GSM3428822
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Gene expression profiling of chronic hepatitis B induced HCC and adjacent-normal tissues
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2026-11-01T15:39:54Z
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All the microarray data were downloaded from the GEO database in NCBI (http://www.ncbi.nlm.nih.gov/geo/). The mRNA and miRNA Seq-data were obtained from The Cancer Genome Atlas (TCGA; http://tcga-data.nci.nih.gov/).
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Long non-coding RNAs and mRNAs expression analysis of HCC
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All the microarray data were downloaded from the GEO database in NCBI (http://www.ncbi.nlm.nih.gov/geo/). The mRNA and miRNA Seq-data were obtained from The Cancer Genome Atlas (TCGA; http://tcga-data.nci.nih.gov/).
structure object · 15 fields
repository
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All the microarray data were downloaded from the GEO database in NCBI (http://www.ncbi.nlm.nih.gov/geo/). The mRNA and miRNA Seq-data were obtained from The Cancer Genome Atlas (TCGA; http://tcga-data.nci.nih.gov/).
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Homo sapiens
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miRNA-seq analysis of hepatocellular carcinoma with portal vein tumor thrombosis
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2026-11-01T15:39:55Z
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Differentially expressed lncRNAs, miRNAs and mRNAs between HCC and adjacent normal tissues.
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5
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Differential expression analysis
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23
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label
Table I.
caption
Differentially expressed lncRNAs, miRNAs and mRNAs between HCC and adjacent normal tissues.
rows array · 23 items
[0] array · 3 items
[0]
mRNA
[1]
miRNA
[2]
lncRNA
[1] array · 3 items
[0]
[1]
[2]
[2] array · 9 items
[0]
Symbol
[1]
FDR
[2]
logFC
[3]
Symbol
[4]
FDR
[5]
logFC
[6]
Symbol
[7]
FDR
[8]
logFC
[3] array · 9 items
[0]
HAMP
[1]
3.03E-15
[2]
−4.16
[3]
hsa-miR-9-5p
[4]
2.36E-15
[5]
4.35
[6]
KIAA0087
[7]
6.00E-04
[8]
0.86
[4] array · 9 items
[0]
KCNN2
[1]
4.13E-24
[2]
−3.99
[3]
hsa-miR-431-5p
[4]
1.71E-13
[5]
4.02
[6]
SNHG9
[7]
1.73E-03
[8]
−1.44
[5] array · 9 items
[0]
CXCL14
[1]
7.95E-28
[2]
−3.98
[3]
hsa-miR-301b
[4]
8.99E-13
[5]
3.87
[6]
LINC02203
[7]
2.01E-03
[8]
1.81
[6] array · 9 items
[0]
CNDP1
[1]
1.25E-19
[2]
−3.75
[3]
hsa-miR-216b-5p
[4]
1.59E-12
[5]
3.87
[6]
H19
[7]
3.55E-03
[8]
0.97
[7] array · 9 items
[0]
FCN2
[1]
6.81E-23
[2]
−3.64
[3]
hsa-miR-483-3p
[4]
1.51E-11
[5]
3.61
[6]
WWC2-AS2
[7]
5.30E-03
[8]
0.82
[8] array · 9 items
[0]
IGFBP3
[1]
1.61E-16
[2]
−2.08
[3]
hsa-miR-7974
[4]
1.45E-10
[5]
3.48
[6]
HNF1A-AS1
[7]
1.00E-02
[8]
0.87
[9] array · 9 items
[0]
RRM2
[1]
1.78E-15
[2]
2.25
[3]
hsa-miR-323a-3p
[4]
3.79E-10
[5]
3.37
[6]
TTTY6B
[7]
1.10E-02
[8]
0.70
[10] array · 9 items
[0]
STEAP3
[1]
4.73E-13
[2]
−1.48
[3]
hsa-miR-483-5p
[4]
4.78E-10
[5]
3.29
[6]
FAM138B
[7]
1.27E-02
[8]
1.16
[11] array · 9 items
[0]
ALDH1B1
[1]
9.83E-12
[2]
−1.16
[3]
hsa-miR-200c-3p
[4]
8.07E-10
[5]
3.25
[6]
WEE2-AS1
[7]
1.30E-02
[8]
0.54
[12] array · 9 items
[0]
ACSL4
[1]
1.83E-11
[2]
2.81
[3]
hsa-miR-183-5p
[4]
1.92E-09
[5]
3.15
[6]
HLA-F-AS1
[7]
1.38E-02
[8]
−0.90
[13] array · 9 items
[0]
CCNE2
[1]
7.91E-10
[2]
1.42
[3]
hsa-miR-410-3p
[4]
2.90E-09
[5]
3.11
[6]
LINC00284
[7]
1.80E-02
[8]
−0.61
[14] array · 9 items
[0]
GLS2
[1]
1.03E-09
[2]
−2.40
[3]
hsa-miR-182-5p
[4]
8.38E-07
[5]
2.53
[6]
SNHG15
[7]
1.83E-02
[8]
−0.54
[15] array · 9 items
[0]
CA2
[1]
6.67E-09
[2]
−1.24
[3]
hsa-miR-34c-5p
[4]
3.03E-06
[5]
2.46
[6]
DLGAP1-AS1
[7]
2.01E-02
[8]
−0.71
[16] array · 9 items
[0]
GADD45B
[1]
7.04E-09
[2]
−1.25
[3]
hsa-miR-7-5p
[4]
3.77E-05
[5]
2.14
[6]
KMT2E-AS1
[7]
2.12E-02
[8]
−0.68
[17] array · 9 items
[0]
ACAA2
[1]
2.51E-08
[2]
−1.01
[3]
hsa-miR-299-3p
[4]
4.17E-05
[5]
2.11
[6]
LINC00339
[7]
2.14E-02
[8]
−0.72
[18] array · 9 items
[0]
FAS
[1]
2.03E-07
[2]
−1.03
[3]
hsa-miR-15b-5p
[4]
1.37E-04
[5]
1.94
[6]
MAP3K14-AS1
[7]
2.19E-02
[8]
0.76
[19] array · 9 items
[0]
ACSL1
[1]
6.24E-07
[2]
−1.09
[3]
hsa-miR-30c-2-3p
[4]
1.97E-03
[5]
−1.61
[6]
LINC00909
[7]
2.72E-02
[8]
−0.60
[20] array · 9 items
[0]
THBS1
[1]
1.46E-06
[2]
−1.56
[3]
hsa-miR-149-5p
[4]
9.85E-03
[5]
1.35
[6]
SRRM2-AS1
[7]
3.78E-02
[8]
−0.99
[21] array · 9 items
[0]
ACADSB
[1]
1.30E-05
[2]
−1.03
[3]
hsa-miR-214-5p
[4]
1.89E-02
[5]
−1.22
[6]
LINC00928
[7]
4.00E-02
[8]
−0.75
[22] array · 9 items
[0]
CPS1
[1]
1.75E-03
[2]
−1.24
[3]
hsa-miR-128-3p
[4]
2.36E-02
[5]
1.17
[6]
RUSC1-AS1
[7]
4.06E-02
[8]
−1.03
locator
section[10]/table-wrap[1]#tI-mmr-20-06-5021
[5] object · 16 fields
id
asset:table:pmid:31638225:2
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table
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jats-table
media_type
application/vnd.jats.table+json
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sha256
sha256:256000e7e6a2a1df141fe722af307736f9b5788a2cbe85cb1eae96ef3e334c3e
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read_table
reader_status
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section[13]/table-wrap[1]#tIII-mmr-20-06-5021
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note
Univariate Cox regression analysis to screen OS and RFS-related genes.
structure object · 5 fields
pmcid
PMC6854603
section_index
7
section_title
Identification of prognosis-related DELs, DEMs and DEGs in the ceRNA network
row_count
10
column_count
4
table object · 8 fields
label
Table III.
caption
Univariate Cox regression analysis to screen OS and RFS-related genes.
rows array · 10 items
[0] array · 2 items
[0]
OS
[1]
RFS
[1] array · 2 items
[0]
[1]
[2] array · 4 items
[0]
ID
[1]
Cox-p
[2]
ID
[3]
Cox-p
[3] array · 4 items
[0]
FAM138B
[1]
0.0012
[2]
LINC00284
[3]
0.011
[4] array · 4 items
[0]
SSTR5-AS1
[1]
0.011
[2]
hsa-miR-7-1
[3]
0.0019
[5] array · 4 items
[0]
hsa-miR-149
[1]
5.00E-04
[2]
hsa-miR-15b
[3]
0.021
[6] array · 4 items
[0]
hsa-miR-7-2
[1]
0.037
[2]
hsa-miR-30c-1
[3]
0.0335
[7] array · 4 items
[0]
CCNE2
[1]
0.017
[2]
RRM2
[3]
0.025
[8] array · 4 items
[0]
RRM2
[1]
0.042
[2]
CA2
[3]
0.028
[9] array · 4 items
[0]
[1]
[2]
CCNE2
[3]
0.046
locator
section[13]/table-wrap[1]#tIII-mmr-20-06-5021
[6] object · 16 fields
id
asset:table:pmid:31638225:3
role
table
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jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:8d7963ec1d15c47bf888bc722bf022b5d8c4333a62896c0d1765ac3a925b8a60
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read_table
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Differentially expressed lncRNAs, miRNAs and mRNAs between HCC and adjacent normal tissues.
structure object · 5 fields
pmcid
PMC6854603
section_index
10
section_title
Differential expression analysis
row_count
23
column_count
9
table object · 8 fields
label
Table I.
caption
Differentially expressed lncRNAs, miRNAs and mRNAs between HCC and adjacent normal tissues.
rows array · 23 items
[0] array · 3 items
[0]
mRNA
[1]
miRNA
[2]
lncRNA
[1] array · 3 items
[0]
[1]
[2]
[2] array · 9 items
[0]
Symbol
[1]
FDR
[2]
logFC
[3]
Symbol
[4]
FDR
[5]
logFC
[6]
Symbol
[7]
FDR
[8]
logFC
[3] array · 9 items
[0]
HAMP
[1]
3.03E-15
[2]
−4.16
[3]
hsa-miR-9-5p
[4]
2.36E-15
[5]
4.35
[6]
KIAA0087
[7]
6.00E-04
[8]
0.86
[4] array · 9 items
[0]
KCNN2
[1]
4.13E-24
[2]
−3.99
[3]
hsa-miR-431-5p
[4]
1.71E-13
[5]
4.02
[6]
SNHG9
[7]
1.73E-03
[8]
−1.44
[5] array · 9 items
[0]
CXCL14
[1]
7.95E-28
[2]
−3.98
[3]
hsa-miR-301b
[4]
8.99E-13
[5]
3.87
[6]
LINC02203
[7]
2.01E-03
[8]
1.81
[6] array · 9 items
[0]
CNDP1
[1]
1.25E-19
[2]
−3.75
[3]
hsa-miR-216b-5p
[4]
1.59E-12
[5]
3.87
[6]
H19
[7]
3.55E-03
[8]
0.97
[7] array · 9 items
[0]
FCN2
[1]
6.81E-23
[2]
−3.64
[3]
hsa-miR-483-3p
[4]
1.51E-11
[5]
3.61
[6]
WWC2-AS2
[7]
5.30E-03
[8]
0.82
[8] array · 9 items
[0]
IGFBP3
[1]
1.61E-16
[2]
−2.08
[3]
hsa-miR-7974
[4]
1.45E-10
[5]
3.48
[6]
HNF1A-AS1
[7]
1.00E-02
[8]
0.87
[9] array · 9 items
[0]
RRM2
[1]
1.78E-15
[2]
2.25
[3]
hsa-miR-323a-3p
[4]
3.79E-10
[5]
3.37
[6]
TTTY6B
[7]
1.10E-02
[8]
0.70
[10] array · 9 items
[0]
STEAP3
[1]
4.73E-13
[2]
−1.48
[3]
hsa-miR-483-5p
[4]
4.78E-10
[5]
3.29
[6]
FAM138B
[7]
1.27E-02
[8]
1.16
[11] array · 9 items
[0]
ALDH1B1
[1]
9.83E-12
[2]
−1.16
[3]
hsa-miR-200c-3p
[4]
8.07E-10
[5]
3.25
[6]
WEE2-AS1
[7]
1.30E-02
[8]
0.54
[12] array · 9 items
[0]
ACSL4
[1]
1.83E-11
[2]
2.81
[3]
hsa-miR-183-5p
[4]
1.92E-09
[5]
3.15
[6]
HLA-F-AS1
[7]
1.38E-02
[8]
−0.90
[13] array · 9 items
[0]
CCNE2
[1]
7.91E-10
[2]
1.42
[3]
hsa-miR-410-3p
[4]
2.90E-09
[5]
3.11
[6]
LINC00284
[7]
1.80E-02
[8]
−0.61
[14] array · 9 items
[0]
GLS2
[1]
1.03E-09
[2]
−2.40
[3]
hsa-miR-182-5p
[4]
8.38E-07
[5]
2.53
[6]
SNHG15
[7]
1.83E-02
[8]
−0.54
[15] array · 9 items
[0]
CA2
[1]
6.67E-09
[2]
−1.24
[3]
hsa-miR-34c-5p
[4]
3.03E-06
[5]
2.46
[6]
DLGAP1-AS1
[7]
2.01E-02
[8]
−0.71
[16] array · 9 items
[0]
GADD45B
[1]
7.04E-09
[2]
−1.25
[3]
hsa-miR-7-5p
[4]
3.77E-05
[5]
2.14
[6]
KMT2E-AS1
[7]
2.12E-02
[8]
−0.68
[17] array · 9 items
[0]
ACAA2
[1]
2.51E-08
[2]
−1.01
[3]
hsa-miR-299-3p
[4]
4.17E-05
[5]
2.11
[6]
LINC00339
[7]
2.14E-02
[8]
−0.72
[18] array · 9 items
[0]
FAS
[1]
2.03E-07
[2]
−1.03
[3]
hsa-miR-15b-5p
[4]
1.37E-04
[5]
1.94
[6]
MAP3K14-AS1
[7]
2.19E-02
[8]
0.76
[19] array · 9 items
[0]
ACSL1
[1]
6.24E-07
[2]
−1.09
[3]
hsa-miR-30c-2-3p
[4]
1.97E-03
[5]
−1.61
[6]
LINC00909
[7]
2.72E-02
[8]
−0.60
[20] array · 9 items
[0]
THBS1
[1]
1.46E-06
[2]
−1.56
[3]
hsa-miR-149-5p
[4]
9.85E-03
[5]
1.35
[6]
SRRM2-AS1
[7]
3.78E-02
[8]
−0.99
[21] array · 9 items
[0]
ACADSB
[1]
1.30E-05
[2]
−1.03
[3]
hsa-miR-214-5p
[4]
1.89E-02
[5]
−1.22
[6]
LINC00928
[7]
4.00E-02
[8]
−0.75
[22] array · 9 items
[0]
CPS1
[1]
1.75E-03
[2]
−1.24
[3]
hsa-miR-128-3p
[4]
2.36E-02
[5]
1.17
[6]
RUSC1-AS1
[7]
4.06E-02
[8]
−1.03
locator
section[10]/table-wrap[1]#tI-mmr-20-06-5021
[7] object · 16 fields
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asset:table:pmid:31638225:4
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jats-table
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application/vnd.jats.table+json
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sha256:a6feac185074e5368a069b4880b93c1b2e023996ceeda3fd049f778f2b4f372e
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KEGG pathways enriched for the genes in the ceRNA network.
structure object · 5 fields
pmcid
PMC6854603
section_index
12
section_title
CeRNA network construction
row_count
4
column_count
3
table object · 8 fields
label
Table II.
caption
KEGG pathways enriched for the genes in the ceRNA network.
rows array · 4 items
[0] array · 3 items
[0]
Term
[1]
P-value
[2]
Genes
[1] array · 3 items
[0]
hsa04115:p53 signaling pathway
[1]
2.83E-04
[2]
STEAP3, CCNE2, RRM2, FAS, GADD45B, THBS1, IGFBP3
[2] array · 3 items
[0]
hsa00071:Fatty acid metabolism
[1]
1.96 E-03
[2]
ACAA2, ACADSB, ACSL1, ALDH1B1, ACSL4
[3] array · 3 items
[0]
hsa00910:Nitrogen metabolism
[1]
3.82 E-02
[2]
GLS2, CA2, CPS1
locator
section[12]/table-wrap[1]#tII-mmr-20-06-5021
[8] object · 16 fields
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asset:table:pmid:31638225:5
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table
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jats-table
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application/vnd.jats.table+json
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sha256:256000e7e6a2a1df141fe722af307736f9b5788a2cbe85cb1eae96ef3e334c3e
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section[13]/table-wrap[1]#tIII-mmr-20-06-5021
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Univariate Cox regression analysis to screen OS and RFS-related genes.
structure object · 5 fields
pmcid
PMC6854603
section_index
13
section_title
Identification of prognosis-related DELs, DEMs and DEGs in the ceRNA network
row_count
10
column_count
4
table object · 8 fields
label
Table III.
caption
Univariate Cox regression analysis to screen OS and RFS-related genes.
rows array · 10 items
[0] array · 2 items
[0]
OS
[1]
RFS
[1] array · 2 items
[0]
[1]
[2] array · 4 items
[0]
ID
[1]
Cox-p
[2]
ID
[3]
Cox-p
[3] array · 4 items
[0]
FAM138B
[1]
0.0012
[2]
LINC00284
[3]
0.011
[4] array · 4 items
[0]
SSTR5-AS1
[1]
0.011
[2]
hsa-miR-7-1
[3]
0.0019
[5] array · 4 items
[0]
hsa-miR-149
[1]
5.00E-04
[2]
hsa-miR-15b
[3]
0.021
[6] array · 4 items
[0]
hsa-miR-7-2
[1]
0.037
[2]
hsa-miR-30c-1
[3]
0.0335
[7] array · 4 items
[0]
CCNE2
[1]
0.017
[2]
RRM2
[3]
0.025
[8] array · 4 items
[0]
RRM2
[1]
0.042
[2]
CA2
[3]
0.028
[9] array · 4 items
[0]
[1]
[2]
CCNE2
[3]
0.046
locator
section[13]/table-wrap[1]#tIII-mmr-20-06-5021
gaps array · 6 items
[0]
asset:data:geo:GSE121248 not downloaded
[1]
asset:data:geo:GSE121248 licence not read
[2]
asset:data:geo:GSE27462 not downloaded
[3]
asset:data:geo:GSE27462 licence not read
[4]
asset:data:geo:GSE76903 not downloaded
[5]
asset:data:geo:GSE76903 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
Univariate Cox regression analysis was performed to screen overall survival (OS) and recurrence-free survival (RFS)-related DELs, DEMs and DEGs using the survival package (version 2.42.6; http://cran.r-project.org/package=survival).
[1] object · 10 fields
id
method-2
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differential_expression
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edger
label
Differential expression analysis
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[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.7
band
medium
quote
EdgeR
[2] object · 10 fields
id
method-3
family
differential_expression
specific
limma_voom
label
Differential expression analysis
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[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.7
band
medium
quote
LIMMA
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gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
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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
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[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 · 3 items
[0]
GSE27462
[1]
GSE76903
[2]
GSE121248
resolved_accessions array · 3 items
[0]
GSE27462
[1]
GSE76903
[2]
GSE121248
statements array · 1 item
[0]
All the microarray data were downloaded from the GEO database in NCBI (http://www.ncbi.nlm.nih.gov/geo/). The mRNA and miRNA Seq-data were obtained from The Cancer Genome Atlas (TCGA; http://tcga-data.nci.nih.gov/).
basis
The paper names GSE27462, GSE76903, GSE121248 in Gene Expression Omnibus (GEO) database in NCBI and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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[0]
cox_ph
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[0]
source:pmid:31638225
[1]
data:geo:GSE121248
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asset:table:pmid:31638225:1
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asset:table:pmid:31638225:2
[4]
asset:table:pmid:31638225:3
[5]
asset:table:pmid:31638225:4
[6]
asset:table:pmid:31638225:5
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[0]
run_analysis
must_build object · 5 fields
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[0]
data:geo:GSE121248
gaps array · 0 items
review object · 5 fields
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partial
machine_critique object · 5 fields
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extraction_review
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MiniMax-M3.1-Flash
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minimax
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minimax
read_at
2026-10-31T18:16:31Z
independence
single_reader
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verbatim
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verbatim
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3
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33755
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2054
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784
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extraction
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complete
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MiniMax-M3.1-Flash
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minimax
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review.machine_critique
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review.human_critique
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not_run
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execution.not_run
provenance object · 7 fields
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pmid:31638225
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paper
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pmid:31638225
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source:pmid:31638225
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manuscript
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PMID 31638225 full text
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data:geo:GSE121248
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dataset
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GEO GSE121248
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[0] object · 4 fields
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activity-reading-sci-2026-11-01
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classification
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pmid:31638225
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paper
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pmid:31638225
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source:pmid:31638225
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manuscript
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PMID 31638225 full text
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data:geo:GSE121248
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dataset
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GEO GSE121248
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agent:corpus-assay-engine
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activity-read-31638225
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extraction
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source:pmid:31638225
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agent:minimax-reader
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activity-resolve-GSE121248
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accession_resolution
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data:geo:GSE121248
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agent:corpus-assay-engine
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agent:corpus-assay-engine
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agent:minimax-reader
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MiniMax literature reader
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pmid:31638225
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sha256:f7b722bfbb3805b44dafe1b6bf071ea40e90e3c6cb70c2dcaa17eba2c62a5e39
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null
gaps array · 10 items
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asset:data:geo:GSE121248 licence not read
[1]
asset:data:geo:GSE121248 not downloaded
[2]
asset:data:geo:GSE27462 licence not read
[3]
asset:data:geo:GSE27462 not downloaded
[4]
asset:data:geo:GSE76903 licence not read
[5]
asset:data:geo:GSE76903 not downloaded
[6]
execution.not_run
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s Availability of data and materials All the microarray data were downloaded from the GEO database i
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Univariate Cox regression analysis was performed to screen overall survival (OS) and recurrence-free survival (RFS)-related DELs, DEMs and DEGs using the survival package (version 2.42.6; http://cran.r-project.org/package=survival).
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:31638225", "kind": "science-record", "revision": 7, "content_hash": "sha256:050787987a358580b42eef6c460c3acebe19b15be7afe87e6ae51d012a167793", "created_at": "2026-11-01T15:40:50Z", "updated_at": "2026-11-01T22:00:55Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "SSTR5‑AS1 functions as a ceRNA to regulate CA2 by sponging miR‑15b‑5p for the development and prognosis of HBV‑related hepatocellular carcinoma.", "doi": "10.3892/mmr.2019.10736", "pmid": "31638225", "authors": ["Jing Xu", "Jing Zhang", "Fenglian Shan", "Jie Wen", "Yue Wang"], "journal": "Molecular medicine reports", "year": 2019, "abstract": "Long non‑coding RNAs (lncRNAs) have been implicated in the development and progression of cancer. However, the mechanisms of lncRNAs in hepatitis B virus (HBV) infection‑induced hepatocellular carcinoma (HCC) remain unclear. The study aimed to reveal the roles of lncRNAs for HBV‑HCC based on the hypothesis of competing endogenous RNA (ceRNA). The lncRNA (GSE27462), miRNA (GSE76903) and mRNA (GSE121248) expression profiles were collected from the Gene Expression Omnibus database. Differentially expressed lncRNAs (DELs), genes (DEGs) and miRNAs (DEMs) were identified using the LIMMA or EdgeR package, respectively. The ceRNA network was constructed based on interaction pairs between miRNAs and mRNAs/lncRNAs. The functions of DEGs in the ceRNA network were predicted using the DAVID database, which was overlapped with the known HCC pathways of Comparative Toxicogenomics Database (CTD) to construct the HCC‑related ceRNA network. The prognosis values [overall survival, (OS); recurrence‑free survival (RFS)] of genes were validated using the Cancer Genome Atlas (TCGA) data with Cox regression analysis. The present study screened 38 DELs, 127 DEMs and 721 DEGs. A ceRNA network was constructed among 17 DELs, 12 DEMs and 173 DEGs, including the FAM138B‑hsa‑miR‑30c‑CCNE2/RRM2 and SSTR5‑AS1‑hsa‑miR‑15b‑5p‑CA2 ceRNA axes. Function enrichment analysis revealed the genes in the ceRNA network that participated in the p53 signaling pathway [cyclin E2 (CCNE2), ribonucleotide reductase M2 subunit (RRM2)] and nitrogen metabolism [carbonic anhydrase 2 (CA2)], which were also included in the pathways of the CTD. Univariate Cox regression analysis revealed that six RNAs (2 DELs: FAM138B, SSTR5‑AS1; 2 DEMs: hsa‑miR‑149, hsa‑miR‑7; 2 DEGs: CCNE2, RRM2) were significantly associated with OS; while seven RNAs (1 DEL: LINC00284; 3 DEMs: hsa‑miR‑7, hsa‑miR‑15b, hsa‑miR‑30c‑2; and 3 DEGs: RRM2, CCNE2, CA2) were significantly associated with RFS. In conclusion, FAM138B‑hsa‑miR‑30c‑CCNE2/RRM2 and the SSTR5‑AS1‑hsa‑miR‑15b‑5p‑CA2 ceRNA axes may be important mechanisms for HBV‑related HCC.", "claims": [{"id": "claim-method", "statement": "Univariate Cox regression analysis was performed to screen overall survival (OS) and recurrence-free survival (RFS)-related DELs, DEMs and DEGs using the survival package (version 2.42.6; http://cran.r-project.org/package=survival).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31638225", "locator": "sections[7] \"Identification of prognosis-related DELs, DEMs and DEGs in the ceRNA network\" paragraph 2", "quote": "Univariate Cox regression analysis was performed to screen overall survival (OS) and recurrence-free survival (RFS)-related DELs, DEMs and DEGs using the survival package (version 2.42.6; http://cran.r-project.org/package=survival)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All the microarray data were downloaded from the GEO database in NCBI (http://www.ncbi.nlm.nih.gov/geo/). The mRNA and miRNA Seq-data were obtained from The Cancer Genome Atlas (TCGA; http://tcga-data.nci.nih.gov/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31638225", "locator": "sections[17] \"Availability of data and materials\" paragraph 2", "quote": "All the microarray data were downloaded from the GEO database in NCBI (http://www.ncbi.nlm.nih.gov/geo/). The mRNA and miRNA Seq-data were obtained from The Cancer Genome Atlas (TCGA; http://tcga-data.nci.nih.gov/)."}], "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:31638225"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE121248"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE121248"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:31638225", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3892/mmr.2019.10736", "sha256": "sha256:fe04d726f54114d5bc990c89f3bdaf1c58b5dd1ce270ee2e177e0708961d743f", "bytes": 38591, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3892/mmr.2019.10736", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC6854603", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE121248", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE121248", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE121248", "version": null, "note": "All the microarray data were downloaded from the GEO database in NCBI (http://www.ncbi.nlm.nih.gov/geo/). 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