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pmid:31289534

Bioinformatics prediction and analysis of hub genes and pathways of three types of gynecological cancer.

Yanyan Liu · Yuexiong Yi · Wanrong Wu · Kejia Wu · Wei Zhang

Oncology letters · 2019 doi:10.3892/ol.2019.10371

Paper

complete

Experiment

complete

Data

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Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:31289534
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science-record
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sha256:3907ca7b2dffb5c4f10bf42656a2098d21e84d19a46fe8d700d018d652ac34f6
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:40:47Z
updated_at
2026-11-01T22:44:04Z
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paper object · 10 fields
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title
Bioinformatics prediction and analysis of hub genes and pathways of three types of gynecological cancer.
doi
10.3892/ol.2019.10371
pmid
31289534
authors array · 5 items
[0]
Yanyan Liu
[1]
Yuexiong Yi
[2]
Wanrong Wu
[3]
Kejia Wu
[4]
Wei Zhang
journal
Oncology letters
year
2019
abstract
Cervical, endometrial and vulvar cancer are three common types of gynecological tumor that threaten the health of females worldwide. Since their underlying mechanisms and associations remain unclear, a comprehensive and systematic bioinformatics analysis is required. The present study downloaded GSE63678 from the GEO database and then performed functional enrichment analyses, including gene ontology and pathway analysis. To further investigate the molecular mechanisms underlying the three types of gynecological cancer, protein-protein interaction (PPI) analysis was performed. A biological network was generated with the guidance of the Kyoto Encyclopedia of Genes and Genomes database and was presented in Cytoscape. A total of 1,219 DEGs were identified for the three types of cancer, and 25 hub genes were revealed. Pathway analysis and the PPI network indicated that four main types of pathway participate in the mechanism of gynecological cancer, including viral infections and cancer formation, tumorigenesis and development, signal transduction, and endocrinology and metabolism. A preliminary gynecological cancer biological network was constructed. Notably, following all analysis, the phosphoinositide 3-kinase (PI3K)/Akt pathway was identified as a potential biomarker pathway. Seven pivotal hub genes (CCNA2, CDK1, CCND1, FGF2, IGF1, BCL2 and VEGFA) of the three gynecological cancer types were proposed. The seven hub genes may serve as targets in gynecological cancer for prevention and early intervention. The PI3K/Akt pathway was identified as a critical biomarker of the three types of gynecological cancer, which may serve a role in the pathogenesis. In summary, the present study provided evidence that could support the treatment of gynecologic tumors in the future.
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Subsequently, the GEO2R (10) tool and limma package (11) available through Bioconductor (version 3.8) of R Studio (version 3.5) were used to compare the gene expression of the CC, EC and VC groups. P<0.05 and a fold-change >2 were considered to indicate a DEG.
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methodological
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sections[5] "Identification of DEGs" paragraph 2
quote
Subsequently, the GEO2R (10) tool and limma package (11) available through Bioconductor (version 3.8) of R Studio (version 3.5) were used to compare the gene expression of the CC, EC and VC groups. P<0.05 and a fold-change >2 were considered to indicate a DEG.
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complete
[1] object · 6 fields
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claim-data-access
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The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.
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methodological
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null
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sections[23] "Availability of data and materials" paragraph 2
quote
The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.
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the published estimate and its evidence
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Obtain the source data from the named repository
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The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
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the source data with its repository provenance
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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/10.3892/ol.2019.10371
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PMC6539991
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The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.
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GEO accession URL
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The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.
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[0]
GSM1555075
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GSM1555079
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GSM1555080
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GSM1555081
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GSM1555082
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GSM1555083
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GSM1555084
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GSM1555085
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GSM1555086
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GSM1555087
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GSM1555088
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GSM1555089
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GSM1555090
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GSM1555091
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GSM1555092
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GSM1555093
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GSM1555094
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GSM1555095
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GSM1555096
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GSM1555097
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GSM1555098
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GSM1555099
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GSM1555100
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GSM1555101
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GSM1555102
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GSM1555103
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GSM1555105
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GSM1555106
[32]
GSM1555107
[33]
GSM1555108
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GSM1555109
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35
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Homo sapiens
title
Expression data from Vulvar, Cervical, Endometrial Carcinoma tissue
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Pathways enriched in three types of gynecological cancer.
structure object · 5 fields
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PMC6539991
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8
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Pathway enrichment analysis of the hub genes
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87
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Table II.
caption
Pathways enriched in three types of gynecological cancer.
rows array · 87 items
[0] array · 4 items
[0]
Pathway
[1]
Regulation
[2]
P-value
[3]
Genes in the pathway
[1] array · 4 items
[0]
Viral carcinogenesis
[1]
–
[2]
3.43×10−9
[3]
HIST1H2BD, CCND1, CDK1, HIST1H2BH, CDC20, PIK3R1, HIST1H2BK, CCNA2
[2] array · 4 items
[0]
Hepatitis B
[1]
–
[2]
9.66×10−9
[3]
BIRC5, CCND1, BCL2, PIK3R1, PCNA, CXCL8, CCNA2
[3] array · 4 items
[0]
AMPK signaling pathway
[1]
–
[2]
1.13×10−7
[3]
CCND1, PPP2R5C, IGF1, ACACB, PIK3R1, CCNA2
[4] array · 4 items
[0]
Oocyte meiosis
[1]
–
[2]
1.31×10−7
[3]
AURKA, PPP2R5C, IGF1, CDK1, CDC20, CCNB1
[5] array · 4 items
[0]
Cell cycle
[1]
Up
[2]
1.31×10−7
[3]
CCND1, CDK1, CDC20, PCNA, CCNA2, CCNB1
[6] array · 4 items
[0]
EGFR tyrosine kinase inhibitor resistance
[1]
–
[2]
4.35×10−7
[3]
FGF2, BCL2, IGF1, PIK3R1, VEGFA
[7] array · 4 items
[0]
Pathways in cancer
[1]
–
[2]
6.44×10−7
[3]
FGF2, BIRC5, CCND1, BCL2, IGF1, PIK3R1, CXCL8, VEGFA
[8] array · 4 items
[0]
Progesterone-mediated oocyte maturation
[1]
–
[2]
1.15×10−6
[3]
IGF1, CDK1, PIK3R1, CCNA2, CCNB1
[9] array · 4 items
[0]
AGE-RAGE signaling pathway in diabetic complications
[1]
–
[2]
1.35×10−6
[3]
CCND1, BCL2, PIK3R1, CXCL8, VEGFA
[10] array · 4 items
[0]
HIF-1 signaling pathway
[1]
–
[2]
1.49×10−6
[3]
BCL2, IGF1, GAPDH, PIK3R1, VEGFA
[11] array · 4 items
[0]
Focal adhesion
[1]
–
[2]
2.13×10−6
[3]
CCND1, BCL2, IGF1, FYN, PIK3R1, VEGFA
[12] array · 4 items
[0]
PI3K-Akt signaling pathway
[1]
–
[2]
3.48×10−6
[3]
FGF2, CCND1, BCL2, PPP2R5C, IGF1, PIK3R1, VEGFA
[13] array · 4 items
[0]
p53 Signaling Pathway
[1]
–
[2]
3.94×10−6
[3]
CCND1, BCL2, PCNA
[14] array · 4 items
[0]
IL-7 Signal Transduction
[1]
Down
[2]
4.77×10−6
[3]
BCL2, FYN, PIK3R1
[15] array · 4 items
[0]
Colorectal cancer
[1]
–
[2]
5.72×10−6
[3]
BIRC5, CCND1, BCL2, PIK3R1
[16] array · 4 items
[0]
p53 signaling pathway
[1]
–
[2]
1.00×10−5
[3]
CCND1, IGF1, CDK1, CCNB1
[17] array · 4 items
[0]
Melanoma
[1]
–
[2]
1.00×10−5
[3]
FGF2, CCND1, IGF1, PIK3R1
[18] array · 4 items
[0]
Cyclins and Cell Cycle Regulation
[1]
Up
[2]
1.23×10−5
[3]
CCND1, CDK1, CCNB1
[19] array · 4 items
[0]
Platinum drug resistance
[1]
–
[2]
1.25×10−5
[3]
BIRC5, BCL2, PIK3R1, TOP2A
[20] array · 4 items
[0]
Regulation of BAD phosphorylation
[1]
Down
[2]
1.80×10−5
[3]
BCL2, IGF1, PIK3R1
[21] array · 4 items
[0]
Prostate cancer
[1]
–
[2]
2.52×10−5
[3]
CCND1, BCL2, IGF1, PIK3R1
[22] array · 4 items
[0]
Endocrine resistance
[1]
–
[2]
3.71×10−5
[3]
CCND1, BCL2, IGF1, PIK3R1
[23] array · 4 items
[0]
Proteoglycans in cancer
[1]
–
[2]
4.47×10−5
[3]
FGF2, CCND1, IGF1, PIK3R1, VEGFA
[24] array · 4 items
[0]
Bladder cancer
[1]
Up
[2]
7.25×10−5
[3]
CCND1, CXCL8, VEGFA
[25] array · 4 items
[0]
Sphingolipid signaling pathway
[1]
–
[2]
8.32×10−5
[3]
BCL2, PPP2R5C, FYN, PIK3R1
[26] array · 4 items
[0]
FoxO signaling pathway
[1]
–
[2]
1.29×10−4
[3]
CCND1, IGF1, PIK3R1, CCNB1
[27] array · 4 items
[0]
Systemic lupus erythematosus
[1]
Up
[2]
1.32×10−4
[3]
H2AFZ, HIST1H2BD, HIST1H2BH, HIST1H2BK
[28] array · 4 items
[0]
NFAT and Hypertrophy of the heart (Transcription in the broken heart)
[1]
Down
[2]
1.66×10−4
[3]
FGF2, IGF1, PIK3R1
[29] array · 4 items
[0]
Breast cancer
[1]
–
[2]
1.80×10−4
[3]
FGF2, CCND1, IGF1, PIK3R1
[30] array · 4 items
[0]
Activation of Src by Protein-tyrosine phosphatase alpha
[1]
Up
[2]
2.11×10−4
[3]
CDK1, CCNB1
[31] array · 4 items
[0]
Sonic Hedgehog (SHH) Receptor Ptc1 Regulates cell cycle
[1]
Up
[2]
2.11×10−4
[3]
CDK1, CCNB1
[32] array · 4 items
[0]
AKAP95 role in mitosis and chromosome dynamics
[1]
Up
[2]
2.52×10−4
[3]
CDK1, CCNB1
[33] array · 4 items
[0]
Glioma
[1]
–
[2]
2.75×10−4
[3]
CCND1, IGF1, PIK3R1
[34] array · 4 items
[0]
Pancreatic cancer
[1]
–
[2]
2.75×10−4
[3]
CCND1, PIK3R1, VEGFA
[35] array · 4 items
[0]
Expression of cyclins regulates progression through the cell cycle by activating cyclin-dependent kinases.
[1]
Up
[2]
2.98×10−4
[3]
CCND1, CCNA2
[36] array · 4 items
[0]
The IGF-1 Receptor and Longevity
[1]
Down
[2]
4.00×10−4
[3]
IGF1, PIK3R1
[37] array · 4 items
[0]
Alcoholism
[1]
Up
[2]
4.22×10−4
[3]
H2AFZ, HIST1H2BD, HIST1H2BH, HIST1H2BK
[38] array · 4 items
[0]
B Cell Survival Pathway
[1]
–
[2]
4.57×10−4
[3]
BIRC5, PIK3R1
[39] array · 4 items
[0]
Small cell lung cancer
[1]
–
[2]
6.12×10−4
[3]
CCND1, BCL2, PIK3R1
[40] array · 4 items
[0]
Stathmin and breast cancer resistance to antimicrotubule agents
[1]
Up
[2]
6.48×10−4
[3]
CDK1, CCNB1
[41] array · 4 items
[0]
Epstein-Barr virus infection
[1]
–
[2]
6.64×10−4
[3]
BCL2, CDK1, PIK3R1, CCNA2
[42] array · 4 items
[0]
Skeletal muscle hypertrophy is regulated via AKT/mTOR pathway
[1]
Down
[2]
7.19×10−4
[3]
IGF1, PIK3R1
[43] array · 4 items
[0]
Rap1 signaling pathway
[1]
–
[2]
7.54×10−4
[3]
FGF2, IGF1, PIK3R1, VEGFA
[44] array · 4 items
[0]
IGF-1 Signaling Pathway
[1]
Down
[2]
7.94×10−4
[3]
IGF1, PIK3R1
[45] array · 4 items
[0]
Ras signaling pathway
[1]
–
[2]
1.01×10−3
[3]
FGF2, IGF1, PIK3R1, VEGFA
[46] array · 4 items
[0]
Erk and PI-3 Kinase Are Necessary for Collagen Binding in Corneal Epithelia
[1]
Down
[2]
1.04×10−3
[3]
FYN, PIK3R1
[47] array · 4 items
[0]
Cell Cycle: G2/M Checkpoint
[1]
Up
[2]
1.04×10−3
[3]
CDK1, CCNB1
[48] array · 4 items
[0]
Influence of Ras and Rho proteins on G1 to S Transition
[1]
–
[2]
1.22×10−3
[3]
CCND1, PIK3R1
[49] array · 4 items
[0]
Genes related to IL4 rceptor signaling in B lymphocytes
[1]
Down
[2]
1.32×10−3
[3]
BCL2, PIK3R1
[50] array · 4 items
[0]
Inactivation of Gsk3 by AKT causes accumulation of b-catenin in Alveolar Macrophages
[1]
Up
[2]
1.32×10−3
[3]
CCND1, PIK3R1
[51] array · 4 items
[0]
Cholinergic synapse
[1]
Down
[2]
1.41×10−3
[3]
BCL2, FYN, PIK3R1
[52] array · 4 items
[0]
Cell Cycle: G1/S Check Point
[1]
Up
[2]
1.42×10−3
[3]
CCND1, CDK1
[53] array · 4 items
[0]
VEGF, Hypoxia, and Angiogenesis
[1]
–
[2]
1.52×10−3
[3]
PIK3R1, VEGFA
[54] array · 4 items
[0]
HTLV–I infection
[1]
–
[2]
1.57×10−3
[3]
CCND1, CDC20, PIK3R1, PCNA
[55] array · 4 items
[0]
Control of skeletal myogenesis by HDAC and calcium/calmodulin-dependent kinase (CaMK)
[1]
Down
[2]
1.63×10−3
[3]
IGF1, PIK3R1
[56] array · 4 items
[0]
Apoptosis-multiple species
[1]
–
[2]
1.97×10−3
[3]
BIRC5, BCL2
[57] array · 4 items
[0]
How Progesterone Initiates Oocyte Membrane
[1]
Up
[2]
2.09×10−3
[3]
CDK1, CCNB1
[58] array · 4 items
[0]
Measles
[1]
–
[2]
2.36×10−3
[3]
CCND1, FYN, PIK3R1
[59] array · 4 items
[0]
Aldosterone-regulated sodium reabsorption
[1]
Down
[2]
2.47×10−3
[3]
IGF1, PIK3R1
[60] array · 4 items
[0]
Apoptosis
[1]
–
[2]
2.56×10−3
[3]
BIRC5, BCL2, PIK3R1
[61] array · 4 items
[0]
IL-2 Receptor Beta Chain in T cell Activation
[1]
Down
[2]
2.60×10−3
[3]
BCL2, PIK3R1
[62] array · 4 items
[0]
Signaling pathways regulating pluripotency of stem cells
[1]
Down
[2]
2.62×10−3
[3]
FGF2, IGF1, PIK3R1
[63] array · 4 items
[0]
Fluid shear stress and atherosclerosis
[1]
–
[2]
2.78×10−3
[3]
BCL2, PIK3R1, VEGFA
[64] array · 4 items
[0]
Phospholipase D signaling pathway
[1]
–
[2]
3.01×10−3
[3]
FYN, PIK3R1, CXCL8
[65] array · 4 items
[0]
Jak-STAT signaling pathway
[1]
–
[2]
3.63×10−3
[3]
CCND1, BCL2, PIK3R1
[66] array · 4 items
[0]
Members of the BCR signaling pathway
[1]
Down
[2]
3.80×10−3
[3]
BCL2, PIK3R1
[67] array · 4 items
[0]
Hedgehog signaling pathway
[1]
–
[2]
3.96×10−3
[3]
CCND1, BCL2
[68] array · 4 items
[0]
T Cell Receptor Signaling Pathway
[1]
Down
[2]
3.96×10−3
[3]
FYN, PIK3R1
[69] array · 4 items
[0]
Endometrial cancer
[1]
–
[2]
4.47×10−3
[3]
CCND1, PIK3R1
[70] array · 4 items
[0]
Genes encoding secreted soluble factors
[1]
–
[2]
4.58×10−3
[3]
FGF2, IGF1, CXCL8, VEGFA
[71] array · 4 items
[0]
Acute myeloid leukemia
[1]
–
[2]
5.39×10−3
[3]
CCND1, PIK3R1
[72] array · 4 items
[0]
Non-small cell lung cancer
[1]
–
[2]
5.97×10−3
[3]
CCND1, PIK3R1
[73] array · 4 items
[0]
VEGF signaling pathway
[1]
–
[2]
6.18×10−3
[3]
PIK3R1, VEGFA
[74] array · 4 items
[0]
Viral myocarditis
[1]
–
[2]
6.18×10−3
[3]
CCND1, FYN
[75] array · 4 items
[0]
Longevity regulating pathway-multiple species
[1]
Down
[2]
6.80×10−3
[3]
IGF1, PIK3R1
[76] array · 4 items
[0]
Renal cell carcinoma
[1]
–
[2]
7.45×10−3
[3]
PIK3R1, VEGFA
[77] array · 4 items
[0]
Fc epsilon RI signaling pathway
[1]
–
[2]
8.13×10−3
[3]
FYN, PIK3R1
[78] array · 4 items
[0]
Prolactin signaling pathway
[1]
–
[2]
8.60×10−3
[3]
CCND1, PIK3R1
[79] array · 4 items
[0]
Chronic myeloid leukemia
[1]
–
[2]
8.84×10−3
[3]
CCND1, PIK3R1
[80] array · 4 items
[0]
Longevity regulating pathway
[1]
–
[2]
1.36×10−2
[3]
IGF1, PIK3R1
[81] array · 4 items
[0]
Genes related to Wnt-mediated signal transduction
[1]
Up
[2]
1.36×10−2
[3]
CCND1, GAPDH
[82] array · 4 items
[0]
Rheumatoid arthritis
[1]
Up
[2]
1.39×10−2
[3]
CXCL8, VEGFA
[83] array · 4 items
[0]
NF-kappa B signaling pathway
[1]
–
[2]
1.54×10−2
[3]
BCL2, CXCL8
[84] array · 4 items
[0]
Amoebiasis
[1]
–
[2]
1.57×10−2
[3]
PIK3R1, CXCL8
[85] array · 4 items
[0]
Cdc25 activates the cdc2/cyclin B complex to induce the G2/M transition.
[1]
Up
[2]
1.60×10−2
[3]
CDK1
[86] array · 4 items
[0]
Inflammatory mediator regulation of TRP channels
[1]
Down
[2]
1.60×10−2
[3]
IGF1, PIK3R1
locator
section[16]/table-wrap[1]#tII-ol-0-0-10371
[3] object · 16 fields
id
asset:table:pmid:31289534:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:85d8c2990d39974133b6b8ec97e3b3308a1e53b8a7633ab612ad78c6a62ae41f
bytes
1700
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[14]/table-wrap[1]#tI-ol-0-0-10371
version
null
note
Topological parameters of the hub genes.
structure object · 5 fields
pmcid
PMC6539991
section_index
14
section_title
Hub genes and PPI network
row_count
27
column_count
6
table object · 8 fields
label
Table I.
caption
Topological parameters of the hub genes.
rows array · 27 items
[0] array · 6 items
[0]
Gene
[1]
Degree
[2]
Betweeness
[3]
Closeness
[4]
Group
[5]
Regulation
[1] array · 6 items
[0]
Mean
[1]
13
[2]
2081.81034
[3]
3.73×10−4
[4]
–
[5]
–
[2] array · 6 items
[0]
CDK1
[1]
115
[2]
20448.4838
[3]
5.21×10−4
[4]
CC/EC
[5]
Up
[3] array · 6 items
[0]
CCNB1
[1]
100
[2]
16335.9142
[3]
5.23×10−4
[4]
CC/EC
[5]
Up
[4] array · 6 items
[0]
CDC20
[1]
92
[2]
8148.54809
[3]
4.76×10−4
[4]
EC
[5]
Up
[5] array · 6 items
[0]
CCNA2
[1]
91
[2]
8126.90458
[3]
4.89×10−4
[4]
CC/EC/VC
[5]
Up
[6] array · 6 items
[0]
AURKA
[1]
90
[2]
9181.94344
[3]
4.76×10−4
[4]
EC/VC
[5]
Up
[7] array · 6 items
[0]
TOP2A
[1]
87
[2]
21409.6376
[3]
5.15×10−4
[4]
EC/VC
[5]
Up
[8] array · 6 items
[0]
UBE2C
[1]
82
[2]
14916.6491
[3]
4.82×10−4
[4]
EC/VC
[5]
Up
[9] array · 6 items
[0]
BIRC5
[1]
80
[2]
16279.0157
[3]
5.13×10−4
[4]
EC/VC
[5]
Up
[10] array · 6 items
[0]
PCNA
[1]
62
[2]
26080.2036
[3]
5.25×10−4
[4]
CC/EC
[5]
Up
[11] array · 6 items
[0]
VEGFA
[1]
56
[2]
32712.0335
[3]
5.43×10−4
[4]
VC
[5]
Up
[12] array · 6 items
[0]
PIK3R1
[1]
46
[2]
24576.8505
[3]
4.91×10−4
[4]
VC
[5]
Down
[13] array · 6 items
[0]
HIST1H2BK
[1]
43
[2]
8689.20717
[3]
4.70×10−4
[4]
CC/VC
[5]
Up
[14] array · 6 items
[0]
HIST1H2BD
[1]
43
[2]
8689.20717
[3]
4.70×10−4
[4]
VC
[5]
Up
[15] array · 6 items
[0]
HIST1H2BH
[1]
42
[2]
8291.98846
[3]
4.70×10−4
[4]
VC
[5]
Up
[16] array · 6 items
[0]
ACACB
[1]
41
[2]
40853.547
[3]
4.98×10−4
[4]
VC
[5]
Down
[17] array · 6 items
[0]
CXCL8
[1]
40
[2]
28927.396
[3]
5.16×10−4
[4]
VC
[5]
Up
[18] array · 6 items
[0]
H2AFZ
[1]
39
[2]
8793.56814
[3]
4.67×10−4
[4]
CC
[5]
Up
[19] array · 6 items
[0]
IGF1
[1]
38
[2]
16278.2011
[3]
5.07×10−4
[4]
CC/VC
[5]
Down
[20] array · 6 items
[0]
ACLY
[1]
37
[2]
34157.4527
[3]
4.81×10−4
[4]
EC
[5]
Up
[21] array · 6 items
[0]
CCND1
[1]
36
[2]
28548.907
[3]
5.39×10−4
[4]
EC
[5]
Up
[22] array · 6 items
[0]
GAPDH
[1]
33
[2]
41598.1258
[3]
5.39×10−4
[4]
EC
[5]
Up
[23] array · 6 items
[0]
PPP2R5C
[1]
32
[2]
10238.8057
[3]
4.75×10−4
[4]
CC
[5]
UP
[24] array · 6 items
[0]
FYN
[1]
32
[2]
17254.3572
[3]
5.22×10−4
[4]
CC/VC
[5]
Down
[25] array · 6 items
[0]
FGF2
[1]
32
[2]
19465.3169
[3]
5.20×10−4
[4]
EC
[5]
Down
[26] array · 6 items
[0]
BCL2
[1]
32
[2]
17923.6004
[3]
4.86×10−4
[4]
VC
[5]
Down
locator
section[14]/table-wrap[1]#tI-ol-0-0-10371
[4] object · 16 fields
id
asset:table:pmid:31289534:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:1d54a4c1bbaf44a10ef2f324a0f436ec59d065cbfbc52d0def7092c7b61850b7
bytes
7242
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[16]/table-wrap[1]#tII-ol-0-0-10371
version
null
note
Pathways enriched in three types of gynecological cancer.
structure object · 5 fields
pmcid
PMC6539991
section_index
16
section_title
Pathway enrichment analysis of the hub genes
row_count
87
column_count
4
table object · 8 fields
label
Table II.
caption
Pathways enriched in three types of gynecological cancer.
rows array · 87 items
[0] array · 4 items
[0]
Pathway
[1]
Regulation
[2]
P-value
[3]
Genes in the pathway
[1] array · 4 items
[0]
Viral carcinogenesis
[1]
–
[2]
3.43×10−9
[3]
HIST1H2BD, CCND1, CDK1, HIST1H2BH, CDC20, PIK3R1, HIST1H2BK, CCNA2
[2] array · 4 items
[0]
Hepatitis B
[1]
–
[2]
9.66×10−9
[3]
BIRC5, CCND1, BCL2, PIK3R1, PCNA, CXCL8, CCNA2
[3] array · 4 items
[0]
AMPK signaling pathway
[1]
–
[2]
1.13×10−7
[3]
CCND1, PPP2R5C, IGF1, ACACB, PIK3R1, CCNA2
[4] array · 4 items
[0]
Oocyte meiosis
[1]
–
[2]
1.31×10−7
[3]
AURKA, PPP2R5C, IGF1, CDK1, CDC20, CCNB1
[5] array · 4 items
[0]
Cell cycle
[1]
Up
[2]
1.31×10−7
[3]
CCND1, CDK1, CDC20, PCNA, CCNA2, CCNB1
[6] array · 4 items
[0]
EGFR tyrosine kinase inhibitor resistance
[1]
–
[2]
4.35×10−7
[3]
FGF2, BCL2, IGF1, PIK3R1, VEGFA
[7] array · 4 items
[0]
Pathways in cancer
[1]
–
[2]
6.44×10−7
[3]
FGF2, BIRC5, CCND1, BCL2, IGF1, PIK3R1, CXCL8, VEGFA
[8] array · 4 items
[0]
Progesterone-mediated oocyte maturation
[1]
–
[2]
1.15×10−6
[3]
IGF1, CDK1, PIK3R1, CCNA2, CCNB1
[9] array · 4 items
[0]
AGE-RAGE signaling pathway in diabetic complications
[1]
–
[2]
1.35×10−6
[3]
CCND1, BCL2, PIK3R1, CXCL8, VEGFA
[10] array · 4 items
[0]
HIF-1 signaling pathway
[1]
–
[2]
1.49×10−6
[3]
BCL2, IGF1, GAPDH, PIK3R1, VEGFA
[11] array · 4 items
[0]
Focal adhesion
[1]
–
[2]
2.13×10−6
[3]
CCND1, BCL2, IGF1, FYN, PIK3R1, VEGFA
[12] array · 4 items
[0]
PI3K-Akt signaling pathway
[1]
–
[2]
3.48×10−6
[3]
FGF2, CCND1, BCL2, PPP2R5C, IGF1, PIK3R1, VEGFA
[13] array · 4 items
[0]
p53 Signaling Pathway
[1]
–
[2]
3.94×10−6
[3]
CCND1, BCL2, PCNA
[14] array · 4 items
[0]
IL-7 Signal Transduction
[1]
Down
[2]
4.77×10−6
[3]
BCL2, FYN, PIK3R1
[15] array · 4 items
[0]
Colorectal cancer
[1]
–
[2]
5.72×10−6
[3]
BIRC5, CCND1, BCL2, PIK3R1
[16] array · 4 items
[0]
p53 signaling pathway
[1]
–
[2]
1.00×10−5
[3]
CCND1, IGF1, CDK1, CCNB1
[17] array · 4 items
[0]
Melanoma
[1]
–
[2]
1.00×10−5
[3]
FGF2, CCND1, IGF1, PIK3R1
[18] array · 4 items
[0]
Cyclins and Cell Cycle Regulation
[1]
Up
[2]
1.23×10−5
[3]
CCND1, CDK1, CCNB1
[19] array · 4 items
[0]
Platinum drug resistance
[1]
–
[2]
1.25×10−5
[3]
BIRC5, BCL2, PIK3R1, TOP2A
[20] array · 4 items
[0]
Regulation of BAD phosphorylation
[1]
Down
[2]
1.80×10−5
[3]
BCL2, IGF1, PIK3R1
[21] array · 4 items
[0]
Prostate cancer
[1]
–
[2]
2.52×10−5
[3]
CCND1, BCL2, IGF1, PIK3R1
[22] array · 4 items
[0]
Endocrine resistance
[1]
–
[2]
3.71×10−5
[3]
CCND1, BCL2, IGF1, PIK3R1
[23] array · 4 items
[0]
Proteoglycans in cancer
[1]
–
[2]
4.47×10−5
[3]
FGF2, CCND1, IGF1, PIK3R1, VEGFA
[24] array · 4 items
[0]
Bladder cancer
[1]
Up
[2]
7.25×10−5
[3]
CCND1, CXCL8, VEGFA
[25] array · 4 items
[0]
Sphingolipid signaling pathway
[1]
–
[2]
8.32×10−5
[3]
BCL2, PPP2R5C, FYN, PIK3R1
[26] array · 4 items
[0]
FoxO signaling pathway
[1]
–
[2]
1.29×10−4
[3]
CCND1, IGF1, PIK3R1, CCNB1
[27] array · 4 items
[0]
Systemic lupus erythematosus
[1]
Up
[2]
1.32×10−4
[3]
H2AFZ, HIST1H2BD, HIST1H2BH, HIST1H2BK
[28] array · 4 items
[0]
NFAT and Hypertrophy of the heart (Transcription in the broken heart)
[1]
Down
[2]
1.66×10−4
[3]
FGF2, IGF1, PIK3R1
[29] array · 4 items
[0]
Breast cancer
[1]
–
[2]
1.80×10−4
[3]
FGF2, CCND1, IGF1, PIK3R1
[30] array · 4 items
[0]
Activation of Src by Protein-tyrosine phosphatase alpha
[1]
Up
[2]
2.11×10−4
[3]
CDK1, CCNB1
[31] array · 4 items
[0]
Sonic Hedgehog (SHH) Receptor Ptc1 Regulates cell cycle
[1]
Up
[2]
2.11×10−4
[3]
CDK1, CCNB1
[32] array · 4 items
[0]
AKAP95 role in mitosis and chromosome dynamics
[1]
Up
[2]
2.52×10−4
[3]
CDK1, CCNB1
[33] array · 4 items
[0]
Glioma
[1]
–
[2]
2.75×10−4
[3]
CCND1, IGF1, PIK3R1
[34] array · 4 items
[0]
Pancreatic cancer
[1]
–
[2]
2.75×10−4
[3]
CCND1, PIK3R1, VEGFA
[35] array · 4 items
[0]
Expression of cyclins regulates progression through the cell cycle by activating cyclin-dependent kinases.
[1]
Up
[2]
2.98×10−4
[3]
CCND1, CCNA2
[36] array · 4 items
[0]
The IGF-1 Receptor and Longevity
[1]
Down
[2]
4.00×10−4
[3]
IGF1, PIK3R1
[37] array · 4 items
[0]
Alcoholism
[1]
Up
[2]
4.22×10−4
[3]
H2AFZ, HIST1H2BD, HIST1H2BH, HIST1H2BK
[38] array · 4 items
[0]
B Cell Survival Pathway
[1]
–
[2]
4.57×10−4
[3]
BIRC5, PIK3R1
[39] array · 4 items
[0]
Small cell lung cancer
[1]
–
[2]
6.12×10−4
[3]
CCND1, BCL2, PIK3R1
[40] array · 4 items
[0]
Stathmin and breast cancer resistance to antimicrotubule agents
[1]
Up
[2]
6.48×10−4
[3]
CDK1, CCNB1
[41] array · 4 items
[0]
Epstein-Barr virus infection
[1]
–
[2]
6.64×10−4
[3]
BCL2, CDK1, PIK3R1, CCNA2
[42] array · 4 items
[0]
Skeletal muscle hypertrophy is regulated via AKT/mTOR pathway
[1]
Down
[2]
7.19×10−4
[3]
IGF1, PIK3R1
[43] array · 4 items
[0]
Rap1 signaling pathway
[1]
–
[2]
7.54×10−4
[3]
FGF2, IGF1, PIK3R1, VEGFA
[44] array · 4 items
[0]
IGF-1 Signaling Pathway
[1]
Down
[2]
7.94×10−4
[3]
IGF1, PIK3R1
[45] array · 4 items
[0]
Ras signaling pathway
[1]
–
[2]
1.01×10−3
[3]
FGF2, IGF1, PIK3R1, VEGFA
[46] array · 4 items
[0]
Erk and PI-3 Kinase Are Necessary for Collagen Binding in Corneal Epithelia
[1]
Down
[2]
1.04×10−3
[3]
FYN, PIK3R1
[47] array · 4 items
[0]
Cell Cycle: G2/M Checkpoint
[1]
Up
[2]
1.04×10−3
[3]
CDK1, CCNB1
[48] array · 4 items
[0]
Influence of Ras and Rho proteins on G1 to S Transition
[1]
–
[2]
1.22×10−3
[3]
CCND1, PIK3R1
[49] array · 4 items
[0]
Genes related to IL4 rceptor signaling in B lymphocytes
[1]
Down
[2]
1.32×10−3
[3]
BCL2, PIK3R1
[50] array · 4 items
[0]
Inactivation of Gsk3 by AKT causes accumulation of b-catenin in Alveolar Macrophages
[1]
Up
[2]
1.32×10−3
[3]
CCND1, PIK3R1
[51] array · 4 items
[0]
Cholinergic synapse
[1]
Down
[2]
1.41×10−3
[3]
BCL2, FYN, PIK3R1
[52] array · 4 items
[0]
Cell Cycle: G1/S Check Point
[1]
Up
[2]
1.42×10−3
[3]
CCND1, CDK1
[53] array · 4 items
[0]
VEGF, Hypoxia, and Angiogenesis
[1]
–
[2]
1.52×10−3
[3]
PIK3R1, VEGFA
[54] array · 4 items
[0]
HTLV–I infection
[1]
–
[2]
1.57×10−3
[3]
CCND1, CDC20, PIK3R1, PCNA
[55] array · 4 items
[0]
Control of skeletal myogenesis by HDAC and calcium/calmodulin-dependent kinase (CaMK)
[1]
Down
[2]
1.63×10−3
[3]
IGF1, PIK3R1
[56] array · 4 items
[0]
Apoptosis-multiple species
[1]
–
[2]
1.97×10−3
[3]
BIRC5, BCL2
[57] array · 4 items
[0]
How Progesterone Initiates Oocyte Membrane
[1]
Up
[2]
2.09×10−3
[3]
CDK1, CCNB1
[58] array · 4 items
[0]
Measles
[1]
–
[2]
2.36×10−3
[3]
CCND1, FYN, PIK3R1
[59] array · 4 items
[0]
Aldosterone-regulated sodium reabsorption
[1]
Down
[2]
2.47×10−3
[3]
IGF1, PIK3R1
[60] array · 4 items
[0]
Apoptosis
[1]
–
[2]
2.56×10−3
[3]
BIRC5, BCL2, PIK3R1
[61] array · 4 items
[0]
IL-2 Receptor Beta Chain in T cell Activation
[1]
Down
[2]
2.60×10−3
[3]
BCL2, PIK3R1
[62] array · 4 items
[0]
Signaling pathways regulating pluripotency of stem cells
[1]
Down
[2]
2.62×10−3
[3]
FGF2, IGF1, PIK3R1
[63] array · 4 items
[0]
Fluid shear stress and atherosclerosis
[1]
–
[2]
2.78×10−3
[3]
BCL2, PIK3R1, VEGFA
[64] array · 4 items
[0]
Phospholipase D signaling pathway
[1]
–
[2]
3.01×10−3
[3]
FYN, PIK3R1, CXCL8
[65] array · 4 items
[0]
Jak-STAT signaling pathway
[1]
–
[2]
3.63×10−3
[3]
CCND1, BCL2, PIK3R1
[66] array · 4 items
[0]
Members of the BCR signaling pathway
[1]
Down
[2]
3.80×10−3
[3]
BCL2, PIK3R1
[67] array · 4 items
[0]
Hedgehog signaling pathway
[1]
–
[2]
3.96×10−3
[3]
CCND1, BCL2
[68] array · 4 items
[0]
T Cell Receptor Signaling Pathway
[1]
Down
[2]
3.96×10−3
[3]
FYN, PIK3R1
[69] array · 4 items
[0]
Endometrial cancer
[1]
–
[2]
4.47×10−3
[3]
CCND1, PIK3R1
[70] array · 4 items
[0]
Genes encoding secreted soluble factors
[1]
–
[2]
4.58×10−3
[3]
FGF2, IGF1, CXCL8, VEGFA
[71] array · 4 items
[0]
Acute myeloid leukemia
[1]
–
[2]
5.39×10−3
[3]
CCND1, PIK3R1
[72] array · 4 items
[0]
Non-small cell lung cancer
[1]
–
[2]
5.97×10−3
[3]
CCND1, PIK3R1
[73] array · 4 items
[0]
VEGF signaling pathway
[1]
–
[2]
6.18×10−3
[3]
PIK3R1, VEGFA
[74] array · 4 items
[0]
Viral myocarditis
[1]
–
[2]
6.18×10−3
[3]
CCND1, FYN
[75] array · 4 items
[0]
Longevity regulating pathway-multiple species
[1]
Down
[2]
6.80×10−3
[3]
IGF1, PIK3R1
[76] array · 4 items
[0]
Renal cell carcinoma
[1]
–
[2]
7.45×10−3
[3]
PIK3R1, VEGFA
[77] array · 4 items
[0]
Fc epsilon RI signaling pathway
[1]
–
[2]
8.13×10−3
[3]
FYN, PIK3R1
[78] array · 4 items
[0]
Prolactin signaling pathway
[1]
–
[2]
8.60×10−3
[3]
CCND1, PIK3R1
[79] array · 4 items
[0]
Chronic myeloid leukemia
[1]
–
[2]
8.84×10−3
[3]
CCND1, PIK3R1
[80] array · 4 items
[0]
Longevity regulating pathway
[1]
–
[2]
1.36×10−2
[3]
IGF1, PIK3R1
[81] array · 4 items
[0]
Genes related to Wnt-mediated signal transduction
[1]
Up
[2]
1.36×10−2
[3]
CCND1, GAPDH
[82] array · 4 items
[0]
Rheumatoid arthritis
[1]
Up
[2]
1.39×10−2
[3]
CXCL8, VEGFA
[83] array · 4 items
[0]
NF-kappa B signaling pathway
[1]
–
[2]
1.54×10−2
[3]
BCL2, CXCL8
[84] array · 4 items
[0]
Amoebiasis
[1]
–
[2]
1.57×10−2
[3]
PIK3R1, CXCL8
[85] array · 4 items
[0]
Cdc25 activates the cdc2/cyclin B complex to induce the G2/M transition.
[1]
Up
[2]
1.60×10−2
[3]
CDK1
[86] array · 4 items
[0]
Inflammatory mediator regulation of TRP channels
[1]
Down
[2]
1.60×10−2
[3]
IGF1, PIK3R1
locator
section[16]/table-wrap[1]#tII-ol-0-0-10371
gaps array · 2 items
[0]
asset:data:geo:GSE63678 not downloaded
[1]
asset:data:geo:GSE63678 licence not read
analysis object · 4 fields
state
complete
methods array · 3 items
[0] object · 10 fields
id
method-1
family
differential_expression
specific
limma_voom
label
Differential expression analysis
dsl_operations array · 3 items
[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
1
band
verbatim
quote
Subsequently, the GEO2R (10) tool and limma package (11) available through Bioconductor (version 3.8) of R Studio (version 3.5) were used to compare the gene expression of the CC, EC and VC groups. P<0.05 and a fold-change >2 were considered to indicate a DEG.
[1] object · 10 fields
id
method-2
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
protein-protein interaction
[2] object · 10 fields
id
method-3
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.8
band
high
quote
GO enrichment
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 · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
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: limma_voom.
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 · 1 item
[0]
GSE63678
resolved_accessions array · 1 item
[0]
GSE63678
statements array · 1 item
[0]
The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.
basis
The paper names GSE63678 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 · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 5 items
[0]
source:pmid:31289534
[1]
data:geo:GSE63678
[2]
asset:table:pmid:31289534:1
[3]
asset:table:pmid:31289534:2
[4]
asset:table:pmid:31289534:3
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:GSE63678
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
2026-10-31T18:15:24Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
37083
completion_tokens
937
cached_tokens
785
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
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:31289534
type
paper
label
pmid:31289534
[1] object · 3 fields
id
source:pmid:31289534
type
manuscript
label
PMID 31289534 full text
[2] object · 3 fields
id
data:geo:GSE63678
type
dataset
label
GEO GSE63678
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
id
pmid:31289534
type
paper
label
pmid:31289534
[1] object · 3 fields
id
source:pmid:31289534
type
manuscript
label
PMID 31289534 full text
[2] object · 3 fields
id
data:geo:GSE63678
type
dataset
label
GEO GSE63678
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-31289534
type
extraction
used array · 1 item
[0]
source:pmid:31289534
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE63678
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE63678
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:31289534
parent_hash
sha256:744397fa4cb82d4339305af6bf26314d549136040890aa674e9047447e9938f7
fork_of
null
gaps array · 6 items
[0]
asset:data:geo:GSE63678 licence not read
[1]
asset:data:geo:GSE63678 not downloaded
[2]
execution.not_run
[3]
review.human_critique
[4]
review.independent_reader
[5]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
differential_expression
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Subsequently, the GEO2R (10) tool and limma package (11) available through Bioconductor (version 3.8) of R Studio (version 3.5) were used to compare the gene expression of the CC, EC and VC groups. P<0.05 and a fold-change >2 were considered to indicate a DEG.
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:31289534", "kind": "science-record", "revision": 8, "content_hash": "sha256:3907ca7b2dffb5c4f10bf42656a2098d21e84d19a46fe8d700d018d652ac34f6", "created_at": "2026-11-01T15:40:47Z", "updated_at": "2026-11-01T22:44:04Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bioinformatics prediction and analysis of hub genes and pathways of three types of gynecological cancer.", "doi": "10.3892/ol.2019.10371", "pmid": "31289534", "authors": ["Yanyan Liu", "Yuexiong Yi", "Wanrong Wu", "Kejia Wu", "Wei Zhang"], "journal": "Oncology letters", "year": 2019, "abstract": "Cervical, endometrial and vulvar cancer are three common types of gynecological tumor that threaten the health of females worldwide. Since their underlying mechanisms and associations remain unclear, a comprehensive and systematic bioinformatics analysis is required. The present study downloaded GSE63678 from the GEO database and then performed functional enrichment analyses, including gene ontology and pathway analysis. To further investigate the molecular mechanisms underlying the three types of gynecological cancer, protein-protein interaction (PPI) analysis was performed. A biological network was generated with the guidance of the Kyoto Encyclopedia of Genes and Genomes database and was presented in Cytoscape. A total of 1,219 DEGs were identified for the three types of cancer, and 25 hub genes were revealed. Pathway analysis and the PPI network indicated that four main types of pathway participate in the mechanism of gynecological cancer, including viral infections and cancer formation, tumorigenesis and development, signal transduction, and endocrinology and metabolism. A preliminary gynecological cancer biological network was constructed. Notably, following all analysis, the phosphoinositide 3-kinase (PI3K)/Akt pathway was identified as a potential biomarker pathway. Seven pivotal hub genes (CCNA2, CDK1, CCND1, FGF2, IGF1, BCL2 and VEGFA) of the three gynecological cancer types were proposed. The seven hub genes may serve as targets in gynecological cancer for prevention and early intervention. The PI3K/Akt pathway was identified as a critical biomarker of the three types of gynecological cancer, which may serve a role in the pathogenesis. In summary, the present study provided evidence that could support the treatment of gynecologic tumors in the future.", "claims": [{"id": "claim-method", "statement": "Subsequently, the GEO2R (10) tool and limma package (11) available through Bioconductor (version 3.8) of R Studio (version 3.5) were used to compare the gene expression of the CC, EC and VC groups. P<0.05 and a fold-change >2 were considered to indicate a DEG.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31289534", "locator": "sections[5] \"Identification of DEGs\" paragraph 2", "quote": "Subsequently, the GEO2R (10) tool and limma package (11) available through Bioconductor (version 3.8) of R Studio (version 3.5) were used to compare the gene expression of the CC, EC and VC groups. P<0.05 and a fold-change >2 were considered to indicate a DEG."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31289534", "locator": "sections[23] \"Availability of data and materials\" paragraph 2", "quote": "The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request."}], "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:31289534"], "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:GSE63678"], "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:GSE63678"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:31289534", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3892/ol.2019.10371", "sha256": "sha256:4860a635e20e61bbe72c4630245543373ac37f57b4975e22353cc1f2fbfe9653", "bytes": 46281, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3892/ol.2019.10371", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC6539991", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE63678", "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=GSE63678", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE63678", "version": null, "note": "The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1555075", "GSM1555076", "GSM1555077", "GSM1555078", "GSM1555079", "GSM1555080", "GSM1555081", "GSM1555082", "GSM1555083", "GSM1555084", "GSM1555085", "GSM1555086", "GSM1555087", "GSM1555088", "GSM1555089", "GSM1555090", "GSM1555091", "GSM1555092", "GSM1555093", "GSM1555094", "GSM1555095", "GSM1555096", "GSM1555097", "GSM1555098", "GSM1555099", "GSM1555100", "GSM1555101", "GSM1555102", "GSM1555103", "GSM1555104", "GSM1555105", "GSM1555106", "GSM1555107", "GSM1555108", "GSM1555109"], "sample_count": 35, "group_sizes": null, "group_sizes_basis": null, "platform": "571", "taxon": "Homo sapiens", "title": "Expression data from Vulvar, Cervical, Endometrial Carcinoma tissue", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:31289534:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:1d54a4c1bbaf44a10ef2f324a0f436ec59d065cbfbc52d0def7092c7b61850b7", "bytes": 7242, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[16]/table-wrap[1]#tII-ol-0-0-10371", "version": null, "note": "Pathways enriched in three types of gynecological cancer.", "structure": {"pmcid": "PMC6539991", "section_index": 8, "section_title": "Pathway enrichment analysis of the hub genes", "row_count": 87, "column_count": 4}, "table": {"label": "Table II.", "caption": "Pathways enriched in three types of gynecological cancer.", "rows": [["Pathway", "Regulation", "P-value", "Genes in the pathway"], ["Viral carcinogenesis", "–", "3.43×10−9", "HIST1H2BD, CCND1, CDK1, HIST1H2BH, CDC20, PIK3R1, HIST1H2BK, CCNA2"], ["Hepatitis B", "–", "9.66×10−9", "BIRC5, CCND1, BCL2, PIK3R1, PCNA, CXCL8, CCNA2"], ["AMPK signaling pathway", "–", "1.13×10−7", "CCND1, PPP2R5C, IGF1, ACACB, PIK3R1, CCNA2"], ["Oocyte meiosis", "–", "1.31×10−7", "AURKA, PPP2R5C, IGF1, CDK1, CDC20, CCNB1"], ["Cell cycle", "Up", "1.31×10−7", "CCND1, CDK1, CDC20, PCNA, CCNA2, CCNB1"], ["EGFR tyrosine kinase inhibitor resistance", "–", "4.35×10−7", "FGF2, BCL2, IGF1, PIK3R1, VEGFA"], ["Pathways in cancer", "–", "6.44×10−7", "FGF2, BIRC5, CCND1, BCL2, IGF1, PIK3R1, CXCL8, VEGFA"], ["Progesterone-mediated oocyte maturation", "–", "1.15×10−6", "IGF1, CDK1, PIK3R1, CCNA2, CCNB1"], ["AGE-RAGE signaling pathway in diabetic complications", "–", "1.35×10−6", "CCND1, BCL2, PIK3R1, CXCL8, VEGFA"], ["HIF-1 signaling pathway", "–", "1.49×10−6", "BCL2, IGF1, GAPDH, PIK3R1, VEGFA"], ["Focal adhesion", "–", "2.13×10−6", "CCND1, BCL2, IGF1, FYN, PIK3R1, VEGFA"], ["PI3K-Akt signaling pathway", "–", "3.48×10−6", "FGF2, CCND1, BCL2, PPP2R5C, IGF1, PIK3R1, VEGFA"], ["p53 Signaling Pathway", "–", "3.94×10−6", "CCND1, BCL2, PCNA"], ["IL-7 Signal Transduction", "Down", "4.77×10−6", "BCL2, FYN, PIK3R1"], ["Colorectal cancer", "–", "5.72×10−6", "BIRC5, CCND1, BCL2, PIK3R1"], ["p53 signaling pathway", "–", "1.00×10−5", "CCND1, IGF1, CDK1, CCNB1"], ["Melanoma", "–", "1.00×10−5", "FGF2, CCND1, IGF1, PIK3R1"], ["Cyclins and Cell Cycle Regulation", "Up", "1.23×10−5", "CCND1, CDK1, CCNB1"], ["Platinum drug resistance", "–", "1.25×10−5", "BIRC5, BCL2, PIK3R1, TOP2A"], ["Regulation of BAD phosphorylation", "Down", "1.80×10−5", "BCL2, IGF1, PIK3R1"], ["Prostate cancer", "–", "2.52×10−5", "CCND1, BCL2, IGF1, PIK3R1"], ["Endocrine resistance", "–", "3.71×10−5", "CCND1, BCL2, IGF1, PIK3R1"], ["Proteoglycans in cancer", "–", "4.47×10−5", "FGF2, CCND1, IGF1, PIK3R1, VEGFA"], ["Bladder cancer", "Up", "7.25×10−5", "CCND1, CXCL8, VEGFA"], ["Sphingolipid signaling pathway", "–", "8.32×10−5", "BCL2, PPP2R5C, FYN, PIK3R1"], ["FoxO signaling pathway", "–", "1.29×10−4", "CCND1, IGF1, PIK3R1, CCNB1"], ["Systemic lupus erythematosus", "Up", "1.32×10−4", "H2AFZ, HIST1H2BD, HIST1H2BH, HIST1H2BK"], ["NFAT and Hypertrophy of the heart (Transcription in the broken heart)", "Down", "1.66×10−4", "FGF2, IGF1, PIK3R1"], ["Breast cancer", "–", "1.80×10−4", "FGF2, CCND1, IGF1, PIK3R1"], ["Activation of Src by Protein-tyrosine phosphatase alpha", "Up", "2.11×10−4", "CDK1, CCNB1"], ["Sonic Hedgehog (SHH) Receptor Ptc1 Regulates cell cycle", "Up", "2.11×10−4", "CDK1, CCNB1"], ["AKAP95 role in mitosis and chromosome dynamics", "Up", "2.52×10−4", "CDK1, CCNB1"], ["Glioma", "–", "2.75×10−4", "CCND1, IGF1, PIK3R1"], ["Pancreatic cancer", "–", "2.75×10−4", "CCND1, PIK3R1, VEGFA"], ["Expression of cyclins regulates progression through the cell cycle by activating cyclin-dependent kinases.", "Up", "2.98×10−4", "CCND1, CCNA2"], ["The IGF-1 Receptor and Longevity", "Down", "4.00×10−4", "IGF1, PIK3R1"], ["Alcoholism", "Up", "4.22×10−4", "H2AFZ, HIST1H2BD, HIST1H2BH, HIST1H2BK"], ["B Cell Survival Pathway", "–", "4.57×10−4", "BIRC5, PIK3R1"], ["Small cell lung cancer", "–", "6.12×10−4", "CCND1, BCL2, PIK3R1"], ["Stathmin and breast cancer resistance to antimicrotubule agents", "Up", "6.48×10−4", "CDK1, CCNB1"], ["Epstein-Barr virus infection", "–", "6.64×10−4", "BCL2, CDK1, PIK3R1, CCNA2"], ["Skeletal muscle hypertrophy is regulated via AKT/mTOR pathway", "Down", "7.19×10−4", "IGF1, PIK3R1"], ["Rap1 signaling pathway", "–", "7.54×10−4", "FGF2, IGF1, PIK3R1, VEGFA"], ["IGF-1 Signaling Pathway", "Down", "7.94×10−4", "IGF1, PIK3R1"], ["Ras signaling pathway", "–", "1.01×10−3", "FGF2, IGF1, PIK3R1, VEGFA"], ["Erk and PI-3 Kinase Are Necessary for Collagen Binding in Corneal Epithelia", "Down", "1.04×10−3", "FYN, PIK3R1"], ["Cell Cycle: G2/M Checkpoint", "Up", "1.04×10−3", "CDK1, CCNB1"], ["Influence of Ras and Rho proteins on G1 to S Transition", "–", "1.22×10−3", "CCND1, PIK3R1"], ["Genes related to IL4 rceptor signaling in B lymphocytes", "Down", "1.32×10−3", "BCL2, PIK3R1"], ["Inactivation of Gsk3 by AKT causes accumulation of b-catenin in Alveolar Macrophages", "Up", "1.32×10−3", "CCND1, PIK3R1"], ["Cholinergic synapse", "Down", "1.41×10−3", "BCL2, FYN, PIK3R1"], ["Cell Cycle: G1/S Check Point", "Up", "1.42×10−3", "CCND1, CDK1"], ["VEGF, Hypoxia, and Angiogenesis", "–", "1.52×10−3", "PIK3R1, VEGFA"], ["HTLV–I infection", "–", "1.57×10−3", "CCND1, CDC20, PIK3R1, PCNA"], ["Control of skeletal myogenesis by HDAC and calcium/calmodulin-dependent kinase (CaMK)", "Down", "1.63×10−3", "IGF1, PIK3R1"], ["Apoptosis-multiple species", "–", "1.97×10−3", "BIRC5, BCL2"], ["How Progesterone Initiates Oocyte Membrane", "Up", "2.09×10−3", "CDK1, CCNB1"], ["Measles", "–", "2.36×10−3", "CCND1, FYN, PIK3R1"], ["Aldosterone-regulated sodium reabsorption", "Down", "2.47×10−3", "IGF1, PIK3R1"], ["Apoptosis", "–", "2.56×10−3", "BIRC5, BCL2, PIK3R1"], ["IL-2 Receptor Beta Chain in T cell Activation", "Down", "2.60×10−3", "BCL2, PIK3R1"], ["Signaling pathways regulating pluripotency of stem cells", "Down", "2.62×10−3", "FGF2, IGF1, PIK3R1"], ["Fluid shear stress and atherosclerosis", "–", "2.78×10−3", "BCL2, PIK3R1, VEGFA"], ["Phospholipase D signaling pathway", "–", "3.01×10−3", "FYN, PIK3R1, CXCL8"], ["Jak-STAT signaling pathway", "–", "3.63×10−3", "CCND1, BCL2, PIK3R1"], ["Members of the BCR signaling pathway", "Down", "3.80×10−3", "BCL2, PIK3R1"], ["Hedgehog signaling pathway", "–", "3.96×10−3", "CCND1, BCL2"], ["T Cell Receptor Signaling Pathway", "Down", "3.96×10−3", "FYN, PIK3R1"], ["Endometrial cancer", "–", "4.47×10−3", "CCND1, PIK3R1"], ["Genes encoding secreted soluble factors", "–", "4.58×10−3", "FGF2, IGF1, CXCL8, VEGFA"], ["Acute myeloid leukemia", "–", "5.39×10−3", "CCND1, PIK3R1"], ["Non-small cell lung cancer", "–", "5.97×10−3", "CCND1, PIK3R1"], ["VEGF signaling pathway", "–", "6.18×10−3", "PIK3R1, VEGFA"], ["Viral myocarditis", "–", "6.18×10−3", "CCND1, FYN"], ["Longevity regulating pathway-multiple species", "Down", "6.80×10−3", "IGF1, PIK3R1"], ["Renal cell carcinoma", "–", "7.45×10−3", "PIK3R1, VEGFA"], ["Fc epsilon RI signaling pathway", "–", "8.13×10−3", "FYN, PIK3R1"], ["Prolactin signaling pathway", "–", "8.60×10−3", "CCND1, PIK3R1"], ["Chronic myeloid leukemia", "–", "8.84×10−3", "CCND1, PIK3R1"], ["Longevity regulating pathway", "–", "1.36×10−2", "IGF1, PIK3R1"], ["Genes related to Wnt-mediated signal transduction", "Up", "1.36×10−2", "CCND1, GAPDH"], ["Rheumatoid arthritis", "Up", "1.39×10−2", "CXCL8, VEGFA"], ["NF-kappa B signaling pathway", "–", "1.54×10−2", "BCL2, CXCL8"], ["Amoebiasis", "–", "1.57×10−2", "PIK3R1, CXCL8"], ["Cdc25 activates the cdc2/cyclin B complex to induce the G2/M transition.", "Up", "1.60×10−2", "CDK1"], ["Inflammatory mediator regulation of TRP channels", "Down", "1.60×10−2", "IGF1, PIK3R1"]], "row_count": 87, "column_count": 4, "numeric_cells": 100, "header_rows": 1, "locator": "section[16]/table-wrap[1]#tII-ol-0-0-10371"}}, {"id": "asset:table:pmid:31289534:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:85d8c2990d39974133b6b8ec97e3b3308a1e53b8a7633ab612ad78c6a62ae41f", "bytes": 1700, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[14]/table-wrap[1]#tI-ol-0-0-10371", "version": null, "note": "Topological parameters of the hub genes.", "structure": {"pmcid": "PMC6539991", "section_index": 14, "section_title": "Hub genes and PPI network", "row_count": 27, "column_count": 6}, "table": {"label": "Table I.", "caption": "Topological parameters of the hub genes.", "rows": [["Gene", "Degree", "Betweeness", "Closeness", "Group", "Regulation"], ["Mean", "13", "2081.81034", "3.73×10−4", "–", "–"], ["CDK1", "115", "20448.4838", "5.21×10−4", "CC/EC", "Up"], ["CCNB1", "100", "16335.9142", "5.23×10−4", "CC/EC", "Up"], ["CDC20", "92", "8148.54809", "4.76×10−4", "EC", "Up"], ["CCNA2", "91", "8126.90458", "4.89×10−4", "CC/EC/VC", "Up"], ["AURKA", "90", "9181.94344", "4.76×10−4", "EC/VC", "Up"], ["TOP2A", "87", "21409.6376", "5.15×10−4", "EC/VC", "Up"], ["UBE2C", "82", "14916.6491", "4.82×10−4", "EC/VC", "Up"], ["BIRC5", "80", "16279.0157", "5.13×10−4", "EC/VC", "Up"], ["PCNA", "62", "26080.2036", "5.25×10−4", "CC/EC", "Up"], ["VEGFA", "56", "32712.0335", "5.43×10−4", "VC", "Up"], ["PIK3R1", "46", "24576.8505", "4.91×10−4", "VC", "Down"], ["HIST1H2BK", "43", "8689.20717", "4.70×10−4", "CC/VC", "Up"], ["HIST1H2BD", "43", "8689.20717", "4.70×10−4", "VC", "Up"], ["HIST1H2BH", "42", "8291.98846", "4.70×10−4", "VC", "Up"], ["ACACB", "41", "40853.547", "4.98×10−4", "VC", "Down"], ["CXCL8", "40", "28927.396", "5.16×10−4", "VC", "Up"], ["H2AFZ", "39", "8793.56814", "4.67×10−4", "CC", "Up"], ["IGF1", "38", "16278.2011", "5.07×10−4", "CC/VC", "Down"], ["ACLY", "37", "34157.4527", "4.81×10−4", "EC", "Up"], ["CCND1", "36", "28548.907", "5.39×10−4", "EC", "Up"], ["GAPDH", "33", "41598.1258", "5.39×10−4", "EC", "Up"], ["PPP2R5C", "32", "10238.8057", "4.75×10−4", "CC", "UP"], ["FYN", "32", "17254.3572", "5.22×10−4", "CC/VC", "Down"], ["FGF2", "32", "19465.3169", "5.20×10−4", "EC", "Down"], ["BCL2", "32", "17923.6004", "4.86×10−4", "VC", "Down"]], "row_count": 27, "column_count": 6, "numeric_cells": 79, "header_rows": 1, "locator": "section[14]/table-wrap[1]#tI-ol-0-0-10371"}}, {"id": "asset:table:pmid:31289534:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:1d54a4c1bbaf44a10ef2f324a0f436ec59d065cbfbc52d0def7092c7b61850b7", "bytes": 7242, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[16]/table-wrap[1]#tII-ol-0-0-10371", "version": null, "note": "Pathways enriched in three types of gynecological cancer.", "structure": {"pmcid": "PMC6539991", "section_index": 16, "section_title": "Pathway enrichment analysis of the hub genes", "row_count": 87, "column_count": 4}, "table": {"label": "Table II.", "caption": "Pathways enriched in three types of gynecological cancer.", "rows": [["Pathway", "Regulation", "P-value", "Genes in the pathway"], ["Viral carcinogenesis", "–", "3.43×10−9", "HIST1H2BD, CCND1, CDK1, HIST1H2BH, CDC20, PIK3R1, HIST1H2BK, CCNA2"], ["Hepatitis B", "–", "9.66×10−9", "BIRC5, CCND1, BCL2, PIK3R1, PCNA, CXCL8, CCNA2"], ["AMPK signaling pathway", "–", "1.13×10−7", "CCND1, PPP2R5C, IGF1, ACACB, PIK3R1, CCNA2"], ["Oocyte meiosis", "–", "1.31×10−7", "AURKA, PPP2R5C, IGF1, CDK1, CDC20, CCNB1"], ["Cell cycle", "Up", "1.31×10−7", "CCND1, CDK1, CDC20, PCNA, CCNA2, CCNB1"], ["EGFR tyrosine kinase inhibitor resistance", "–", "4.35×10−7", "FGF2, BCL2, IGF1, PIK3R1, VEGFA"], ["Pathways in cancer", "–", "6.44×10−7", "FGF2, BIRC5, CCND1, BCL2, IGF1, PIK3R1, CXCL8, VEGFA"], ["Progesterone-mediated oocyte maturation", "–", "1.15×10−6", "IGF1, CDK1, PIK3R1, CCNA2, CCNB1"], ["AGE-RAGE signaling pathway in diabetic complications", "–", "1.35×10−6", "CCND1, BCL2, PIK3R1, CXCL8, VEGFA"], ["HIF-1 signaling pathway", "–", "1.49×10−6", "BCL2, IGF1, GAPDH, PIK3R1, VEGFA"], ["Focal adhesion", "–", "2.13×10−6", "CCND1, BCL2, IGF1, FYN, PIK3R1, VEGFA"], ["PI3K-Akt signaling pathway", "–", "3.48×10−6", "FGF2, CCND1, BCL2, PPP2R5C, IGF1, PIK3R1, VEGFA"], ["p53 Signaling Pathway", "–", "3.94×10−6", "CCND1, BCL2, PCNA"], ["IL-7 Signal Transduction", "Down", "4.77×10−6", "BCL2, FYN, PIK3R1"], ["Colorectal cancer", "–", "5.72×10−6", "BIRC5, CCND1, BCL2, PIK3R1"], ["p53 signaling pathway", "–", "1.00×10−5", "CCND1, IGF1, CDK1, CCNB1"], ["Melanoma", "–", "1.00×10−5", "FGF2, CCND1, IGF1, PIK3R1"], ["Cyclins and Cell Cycle Regulation", "Up", "1.23×10−5", "CCND1, CDK1, CCNB1"], ["Platinum drug resistance", "–", "1.25×10−5", "BIRC5, BCL2, PIK3R1, TOP2A"], ["Regulation of BAD phosphorylation", "Down", "1.80×10−5", "BCL2, IGF1, PIK3R1"], ["Prostate cancer", "–", "2.52×10−5", "CCND1, BCL2, IGF1, PIK3R1"], ["Endocrine resistance", "–", "3.71×10−5", "CCND1, BCL2, IGF1, PIK3R1"], ["Proteoglycans in cancer", "–", "4.47×10−5", "FGF2, CCND1, IGF1, PIK3R1, VEGFA"], ["Bladder cancer", "Up", "7.25×10−5", "CCND1, CXCL8, VEGFA"], ["Sphingolipid signaling pathway", "–", "8.32×10−5", "BCL2, PPP2R5C, FYN, PIK3R1"], ["FoxO signaling pathway", "–", "1.29×10−4", "CCND1, IGF1, PIK3R1, CCNB1"], ["Systemic lupus erythematosus", "Up", "1.32×10−4", "H2AFZ, HIST1H2BD, HIST1H2BH, HIST1H2BK"], ["NFAT and Hypertrophy of the heart (Transcription in the broken heart)", "Down", "1.66×10−4", "FGF2, IGF1, PIK3R1"], ["Breast cancer", "–", "1.80×10−4", "FGF2, CCND1, IGF1, PIK3R1"], ["Activation of Src by Protein-tyrosine phosphatase alpha", "Up", "2.11×10−4", "CDK1, CCNB1"], ["Sonic Hedgehog (SHH) Receptor Ptc1 Regulates cell cycle", "Up", "2.11×10−4", "CDK1, CCNB1"], ["AKAP95 role in mitosis and chromosome dynamics", "Up", "2.52×10−4", "CDK1, CCNB1"], ["Glioma", "–", "2.75×10−4", "CCND1, IGF1, PIK3R1"], ["Pancreatic cancer", "–", "2.75×10−4", "CCND1, PIK3R1, VEGFA"], ["Expression of cyclins regulates progression through the cell cycle by activating cyclin-dependent kinases.", "Up", "2.98×10−4", "CCND1, CCNA2"], ["The IGF-1 Receptor and Longevity", "Down", "4.00×10−4", "IGF1, PIK3R1"], ["Alcoholism", "Up", "4.22×10−4", "H2AFZ, HIST1H2BD, HIST1H2BH, HIST1H2BK"], ["B Cell Survival Pathway", "–", "4.57×10−4", "BIRC5, PIK3R1"], ["Small cell lung cancer", "–", "6.12×10−4", "CCND1, BCL2, PIK3R1"], ["Stathmin and breast cancer resistance to antimicrotubule agents", "Up", "6.48×10−4", "CDK1, CCNB1"], ["Epstein-Barr virus infection", "–", "6.64×10−4", "BCL2, CDK1, PIK3R1, CCNA2"], ["Skeletal muscle hypertrophy is regulated via AKT/mTOR pathway", "Down", "7.19×10−4", "IGF1, PIK3R1"], ["Rap1 signaling pathway", "–", "7.54×10−4", "FGF2, IGF1, PIK3R1, VEGFA"], ["IGF-1 Signaling Pathway", "Down", "7.94×10−4", "IGF1, PIK3R1"], ["Ras signaling pathway", "–", "1.01×10−3", "FGF2, IGF1, PIK3R1, VEGFA"], ["Erk and PI-3 Kinase Are Necessary for Collagen Binding in Corneal Epithelia", "Down", "1.04×10−3", "FYN, PIK3R1"], ["Cell Cycle: G2/M Checkpoint", "Up", "1.04×10−3", "CDK1, CCNB1"], ["Influence of Ras and Rho proteins on G1 to S Transition", "–", "1.22×10−3", "CCND1, PIK3R1"], ["Genes related to IL4 rceptor signaling in B lymphocytes", "Down", "1.32×10−3", "BCL2, PIK3R1"], ["Inactivation of Gsk3 by AKT causes accumulation of b-catenin in Alveolar Macrophages", "Up", "1.32×10−3", "CCND1, PIK3R1"], ["Cholinergic synapse", "Down", "1.41×10−3", "BCL2, FYN, PIK3R1"], ["Cell Cycle: G1/S Check Point", "Up", "1.42×10−3", "CCND1, CDK1"], ["VEGF, Hypoxia, and Angiogenesis", "–", "1.52×10−3", "PIK3R1, VEGFA"], ["HTLV–I infection", "–", "1.57×10−3", "CCND1, CDC20, PIK3R1, PCNA"], ["Control of skeletal myogenesis by HDAC and calcium/calmodulin-dependent kinase (CaMK)", "Down", "1.63×10−3", "IGF1, PIK3R1"], ["Apoptosis-multiple species", "–", "1.97×10−3", "BIRC5, BCL2"], ["How Progesterone Initiates Oocyte Membrane", "Up", "2.09×10−3", "CDK1, CCNB1"], ["Measles", "–", "2.36×10−3", "CCND1, FYN, PIK3R1"], ["Aldosterone-regulated sodium reabsorption", "Down", "2.47×10−3", "IGF1, PIK3R1"], ["Apoptosis", "–", "2.56×10−3", "BIRC5, BCL2, PIK3R1"], ["IL-2 Receptor Beta Chain in T cell Activation", "Down", "2.60×10−3", "BCL2, PIK3R1"], ["Signaling pathways regulating pluripotency of stem cells", "Down", "2.62×10−3", "FGF2, IGF1, PIK3R1"], ["Fluid shear stress and atherosclerosis", "–", "2.78×10−3", "BCL2, PIK3R1, VEGFA"], ["Phospholipase D signaling pathway", "–", "3.01×10−3", "FYN, PIK3R1, CXCL8"], ["Jak-STAT signaling pathway", "–", "3.63×10−3", "CCND1, BCL2, PIK3R1"], ["Members of the BCR signaling pathway", "Down", "3.80×10−3", "BCL2, PIK3R1"], ["Hedgehog signaling pathway", "–", "3.96×10−3", "CCND1, BCL2"], ["T Cell Receptor Signaling Pathway", "Down", "3.96×10−3", "FYN, PIK3R1"], ["Endometrial cancer", "–", "4.47×10−3", "CCND1, PIK3R1"], ["Genes encoding secreted soluble factors", "–", "4.58×10−3", "FGF2, IGF1, CXCL8, VEGFA"], ["Acute myeloid leukemia", "–", "5.39×10−3", "CCND1, PIK3R1"], ["Non-small cell lung cancer", "–", "5.97×10−3", "CCND1, PIK3R1"], ["VEGF signaling pathway", "–", "6.18×10−3", "PIK3R1, VEGFA"], ["Viral myocarditis", "–", "6.18×10−3", "CCND1, FYN"], ["Longevity regulating pathway-multiple species", "Down", "6.80×10−3", "IGF1, PIK3R1"], ["Renal cell carcinoma", "–", "7.45×10−3", "PIK3R1, VEGFA"], ["Fc epsilon RI signaling pathway", "–", "8.13×10−3", "FYN, PIK3R1"], ["Prolactin signaling pathway", "–", "8.60×10−3", "CCND1, PIK3R1"], ["Chronic myeloid leukemia", "–", "8.84×10−3", "CCND1, PIK3R1"], ["Longevity regulating pathway", "–", "1.36×10−2", "IGF1, PIK3R1"], ["Genes related to Wnt-mediated signal transduction", "Up", "1.36×10−2", "CCND1, GAPDH"], ["Rheumatoid arthritis", "Up", "1.39×10−2", "CXCL8, VEGFA"], ["NF-kappa B signaling pathway", "–", "1.54×10−2", "BCL2, CXCL8"], ["Amoebiasis", "–", "1.57×10−2", "PIK3R1, CXCL8"], ["Cdc25 activates the cdc2/cyclin B complex to induce the G2/M transition.", "Up", "1.60×10−2", "CDK1"], ["Inflammatory mediator regulation of TRP channels", "Down", "1.60×10−2", "IGF1, PIK3R1"]], "row_count": 87, "column_count": 4, "numeric_cells": 100, "header_rows": 1, "locator": "section[16]/table-wrap[1]#tII-ol-0-0-10371"}}], "gaps": ["asset:data:geo:GSE63678 not downloaded", "asset:data:geo:GSE63678 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Subsequently, the GEO2R (10) tool and limma package (11) available through Bioconductor (version 3.8) of R Studio (version 3.5) were used to compare the gene expression of the CC, EC and VC groups. P<0.05 and a fold-change >2 were considered to indicate a DEG."}}, {"id": "method-2", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "protein-protein interaction"}}, {"id": "method-3", "family": "network_analysis", "specific": "pathway_enrichment", "label": "Network / pathway analysis", "dsl_operations": ["pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.8, "band": "high", "quote": "GO enrichment"}}], "targets": [], "gaps": []}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom."}, "capability": {"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": {"tier": "R1", "reachable": true, "accessions": ["GSE63678"], "resolved_accessions": ["GSE63678"], "statements": ["The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request."], "basis": "The paper names GSE63678 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. 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