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pmid:32775374

Identification of APEX2 as an oncogene in liver cancer.

Ru Zheng · Heng-Liang Zhu · Bing-Ren Hu · Xiao-Jiao Ruan · Hua-Jie Cai

World journal of clinical cases · 2020 doi:10.12998/wjcc.v8.i14.2917

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Experiment

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Data

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pmid:32775374
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2026-11-01T15:41:07Z
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paper object · 10 fields
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title
Identification of APEX2 as an oncogene in liver cancer.
doi
10.12998/wjcc.v8.i14.2917
pmid
32775374
authors array · 5 items
[0]
Ru Zheng
[1]
Heng-Liang Zhu
[2]
Bing-Ren Hu
[3]
Xiao-Jiao Ruan
[4]
Hua-Jie Cai
journal
World journal of clinical cases
year
2020
abstract
BACKGROUND: DNA damage is one of the critical contributors to the occurrence and development of some cancers. APEX1 and APEX2 are the most important molecules in the DNA damage, and APEX1 has been identified as a diagnostic and prognostic biomarker in liver hepatocellular carcinoma (LIHC). However, the expression of APEX2 and its functional mechanisms in LIHC are still unclear. AIM: To examine the expression of APEX2 and the potential mechanism network in LIHC. METHODS: We conducted a pan-cancer analysis of the expression of APEX1 and APEX2 using the interactive TIMER tool. GEO datasets, including GSE14520, GSE22058, and GSE64041, were used to compare the APEX2 expression level in tumor tissues and adjacent non-tumor tissues. Then, we calculated the 5-year survival rate according to the web-based Kaplan-Meier analysis. We included the TCGA liver cancer database in GSEA analysis based on the high and low APEX2 expression, showing the potential mechanisms of APEX2 in LIHC. After that, we conducted Pearson correlation analysis using GEPIA2. Next, we performed quantitative polymerase chain reaction (qPCR) assay to examine the APEX2 levels in normal liver cell line LO2 and several liver cancer cell lines, including HepG2, Huh7, SMMC7721, and HCCLM3. APEX2 in HCCLM3 cells was knocked down using small interfering RNA. The role of APEX2 in cell viability was confirmed using CCK-8. Dual-luciferase reporter assay was performed to examine the promoter activity of CCNB1 and MYC. RESULTS: APEX1 and APEX2 are both highly expressed in the tumor tissues of BLCA, BRCA, CHOL, COAD, ESCA, HNSC, LIHC, LUAD, LUSC, READ, and STAD. APEX2 overexpression in LIHC was validated using GSE14520, GSE22058, and GSE64041 datasets. The survival analysis showed that LIHC patients with high expression of APEX2 had a lower overall survival rate, even in the AJCC T1 patients. High level of APEX2 could indicate a lower overall survival rate in patients with or without viral hepatitis. The GSEA analysis identified that kinetochore and spindle microtubules are the two main cellular components of APEX2 in GO Ontology. APEX2 was also positively associated with molecular function regulation of chromosome segregation and DNA replication. The results of KEGG analysis indicated that APEX2 expression was positively correlated with cell cycle pathway and pro-oncogenic MYC signaling. Pearson correlation analysis showed that APEX2 had a significant positive correlation with CCNB1 and MYC. APEX2 level was higher in liver cancer cell lines than in normal liver LO2 cells. Small interfering RNA could knock down the APEX2 expression in HCCLM3 cells. Knockdown of APEX2 resulted in a decrease in the viability of HCCLM3 cells as well as the expression and promoter activity of CCNB1 and MYC. CONCLUSION: APEX2 is overexpressed in LIHC, and the higher APEX2 level is associated with a worse prognosis in overall survival. APEX2 is closely involved in the biological processes of chromosome segregation and DNA replication. APEX2 expression is positively correlated with the pro-oncogenic pathways. Knockdown of APEX2 could inhibit the cell viability and CCNB1 and MYC pathways, suggesting that APEX2 is an oncogene in LIHC, which could be a potential pharmaceutic target in the anti-tumor therapy.
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The Kaplan Meier method was used to analyze the overall survival, and the log-rank P method was applied to show the statistical difference.
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sections[12] "Statistical analysis" paragraph 2
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The Kaplan Meier method was used to analyze the overall survival, and the log-rank P method was applied to show the statistical difference.
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[479]
GSM712534
[480]
GSM712535
[481]
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[482]
GSM712537
[483]
GSM712538
[484]
GSM712539
[485]
GSM712540
[486]
GSM712541
[487]
GSM712542
sample_count
488
group_sizes
null
group_sizes_basis
null
platform
3921;571
taxon
Homo sapiens
title
Gene expression data of human hepatocellular carcinoma (HCC)
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE22058
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=GSE22058
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE22058
version
null
note
No additional data are available.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
No additional data are available.
access_statement_kind
data_availability_statement
sample_accessions array · 397 items
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[23]
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[29]
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[30]
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[31]
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[32]
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[33]
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[34]
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[35]
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[36]
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[38]
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[40]
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[41]
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[42]
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[43]
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[44]
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[45]
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[46]
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[47]
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[48]
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[49]
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[50]
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[51]
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[52]
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[53]
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[54]
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[55]
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[57]
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[58]
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[65]
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[66]
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[67]
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[68]
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[69]
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[70]
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[71]
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[72]
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[73]
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[74]
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[75]
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[76]
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[77]
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[78]
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[79]
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[80]
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[81]
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[82]
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[83]
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[84]
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[85]
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[86]
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[87]
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[88]
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[89]
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[90]
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[91]
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[92]
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[93]
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[94]
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[95]
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[96]
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[97]
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[98]
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[99]
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[100]
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[101]
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[102]
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[103]
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[104]
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[105]
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[106]
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[107]
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[108]
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[109]
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[110]
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[111]
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[112]
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[113]
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[114]
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[115]
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[116]
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[117]
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[118]
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[119]
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[120]
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[121]
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[122]
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[123]
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[124]
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[125]
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[126]
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[127]
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[128]
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[129]
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[130]
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[131]
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[132]
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[133]
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[134]
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[135]
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[136]
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[137]
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[138]
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[139]
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[140]
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[141]
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[142]
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[143]
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[144]
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[145]
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[146]
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[147]
GSM548182
[148]
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[149]
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[150]
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[151]
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[152]
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[153]
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[154]
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[155]
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[156]
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[157]
GSM548192
[158]
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[159]
GSM548194
[160]
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[161]
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[162]
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[163]
GSM548198
[164]
GSM548199
[165]
GSM548200
[166]
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[167]
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[168]
GSM548203
[169]
GSM548204
[170]
GSM548205
[171]
GSM548206
[172]
GSM548207
[173]
GSM548208
[174]
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[175]
GSM548210
[176]
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[177]
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[178]
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[179]
GSM548214
[180]
GSM548215
[181]
GSM548216
[182]
GSM548217
[183]
GSM548218
[184]
GSM548219
[185]
GSM548220
[186]
GSM548221
[187]
GSM548222
[188]
GSM548223
[189]
GSM548224
[190]
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[191]
GSM548226
[192]
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[193]
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[194]
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[195]
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[196]
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[197]
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[198]
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[199]
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[200]
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[201]
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[202]
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[203]
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[204]
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[205]
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[206]
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[207]
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[208]
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[209]
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[210]
GSM548350
[211]
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[212]
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[213]
GSM548353
[214]
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[215]
GSM548355
[216]
GSM548356
[217]
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[218]
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[219]
GSM548359
[220]
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[221]
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[222]
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[223]
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[224]
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[225]
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[226]
GSM548366
[227]
GSM548367
[228]
GSM548368
[229]
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[230]
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[231]
GSM548371
[232]
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[233]
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[234]
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[235]
GSM548375
[236]
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[237]
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[238]
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[239]
GSM548379
[240]
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[241]
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[242]
GSM548382
[243]
GSM548383
[244]
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[245]
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[246]
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[247]
GSM548387
[248]
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[249]
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[250]
GSM548390
[251]
GSM548391
[252]
GSM548392
[253]
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[254]
GSM548394
[255]
GSM548395
[256]
GSM548396
[257]
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[258]
GSM548398
[259]
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[260]
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[261]
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[262]
GSM548402
[263]
GSM548403
[264]
GSM548404
[265]
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[266]
GSM548406
[267]
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[268]
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[269]
GSM548409
[270]
GSM548410
[271]
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[272]
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[273]
GSM548413
[274]
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[275]
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[276]
GSM548416
[277]
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[278]
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[279]
GSM548419
[280]
GSM548420
[281]
GSM548421
[282]
GSM548422
[283]
GSM548423
[284]
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[285]
GSM548425
[286]
GSM548426
[287]
GSM548427
[288]
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[289]
GSM548429
[290]
GSM548430
[291]
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[292]
GSM548432
[293]
GSM548433
[294]
GSM548434
[295]
GSM548435
[296]
GSM548436
[297]
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[298]
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[299]
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[300]
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[301]
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[302]
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[303]
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[304]
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[305]
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[306]
GSM548446
[307]
GSM548447
[308]
GSM548448
[309]
GSM548449
[310]
GSM548450
[311]
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[312]
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[313]
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[314]
GSM548454
[315]
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[316]
GSM548456
[317]
GSM548457
[318]
GSM548458
[319]
GSM548459
[320]
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[321]
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[322]
GSM548462
[323]
GSM548463
[324]
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[325]
GSM548465
[326]
GSM548466
[327]
GSM548467
[328]
GSM548468
[329]
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[330]
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[331]
GSM548471
[332]
GSM548472
[333]
GSM548473
[334]
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[335]
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[336]
GSM548476
[337]
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[338]
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[339]
GSM548479
[340]
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[341]
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[342]
GSM548482
[343]
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[344]
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[345]
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[346]
GSM548486
[347]
GSM548487
[348]
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[349]
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[350]
GSM548490
[351]
GSM548491
[352]
GSM548492
[353]
GSM548493
[354]
GSM548494
[355]
GSM548495
[356]
GSM548496
[357]
GSM548497
[358]
GSM548498
[359]
GSM548499
[360]
GSM548500
[361]
GSM548501
[362]
GSM548502
[363]
GSM548503
[364]
GSM548504
[365]
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[366]
GSM548506
[367]
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[368]
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[369]
GSM548509
[370]
GSM548510
[371]
GSM548511
[372]
GSM548512
[373]
GSM548513
[374]
GSM548514
[375]
GSM548515
[376]
GSM548516
[377]
GSM548517
[378]
GSM548518
[379]
GSM548519
[380]
GSM548520
[381]
GSM548521
[382]
GSM548522
[383]
GSM548523
[384]
GSM548524
[385]
GSM548525
[386]
GSM548526
[387]
GSM548527
[388]
GSM548530
[389]
GSM548531
[390]
GSM548532
[391]
GSM548533
[392]
GSM548534
[393]
GSM548535
[394]
GSM548536
[395]
GSM548537
[396]
GSM548538
sample_count
397
group_sizes
null
group_sizes_basis
null
platform
9733;10457;6793
taxon
Homo sapiens; Mus musculus
title
miR-122 as a Regulator of Mitochondrial Metabolic Gene Network in Hepatocellular Carcinoma
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE64041
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=GSE64041
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE64041
version
null
note
No additional data are available.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
No additional data are available.
access_statement_kind
data_availability_statement
sample_accessions array · 125 items
[0]
GSM2052455
[1]
GSM2052456
[2]
GSM2052457
[3]
GSM2052458
[4]
GSM2052459
[5]
GSM2052460
[6]
GSM2052461
[7]
GSM2052462
[8]
GSM2052463
[9]
GSM2052464
[10]
GSM2052465
[11]
GSM2052466
[12]
GSM2052467
[13]
GSM2052468
[14]
GSM2052469
[15]
GSM2052470
[16]
GSM2052471
[17]
GSM2052472
[18]
GSM2052473
[19]
GSM2052474
[20]
GSM2052475
[21]
GSM2052476
[22]
GSM2052477
[23]
GSM2052478
[24]
GSM2052479
[25]
GSM2052480
[26]
GSM2052481
[27]
GSM2052482
[28]
GSM2052483
[29]
GSM2052484
[30]
GSM2052485
[31]
GSM2052486
[32]
GSM2052487
[33]
GSM2052488
[34]
GSM2052489
[35]
GSM2052490
[36]
GSM2052491
[37]
GSM2052492
[38]
GSM2052493
[39]
GSM2052494
[40]
GSM2052495
[41]
GSM2052496
[42]
GSM2052497
[43]
GSM2052498
[44]
GSM2052499
[45]
GSM2052500
[46]
GSM2052501
[47]
GSM2052502
[48]
GSM2052503
[49]
GSM2052504
[50]
GSM2052505
[51]
GSM2052506
[52]
GSM2052507
[53]
GSM2052508
[54]
GSM2052509
[55]
GSM2052510
[56]
GSM2052511
[57]
GSM2052512
[58]
GSM2052513
[59]
GSM2052514
[60]
GSM2052515
[61]
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[62]
GSM2052517
[63]
GSM2052518
[64]
GSM2052519
[65]
GSM2052520
[66]
GSM2052521
[67]
GSM2052522
[68]
GSM2052523
[69]
GSM2052524
[70]
GSM2052525
[71]
GSM2052526
[72]
GSM2052527
[73]
GSM2052528
[74]
GSM2052529
[75]
GSM2052530
[76]
GSM2052531
[77]
GSM2052532
[78]
GSM2052533
[79]
GSM2052534
[80]
GSM2052535
[81]
GSM2052536
[82]
GSM2052537
[83]
GSM2052538
[84]
GSM2052539
[85]
GSM2052540
[86]
GSM2052541
[87]
GSM2052542
[88]
GSM2052543
[89]
GSM2052544
[90]
GSM2052545
[91]
GSM2052546
[92]
GSM2052547
[93]
GSM2052548
[94]
GSM2052549
[95]
GSM2052550
[96]
GSM2052551
[97]
GSM2052552
[98]
GSM2052553
[99]
GSM2052554
[100]
GSM2052555
[101]
GSM2052556
[102]
GSM2052557
[103]
GSM2052558
[104]
GSM2052559
[105]
GSM2052560
[106]
GSM2052561
[107]
GSM2052562
[108]
GSM2052563
[109]
GSM2052564
[110]
GSM2052565
[111]
GSM2052566
[112]
GSM2052567
[113]
GSM2052568
[114]
GSM2052569
[115]
GSM2052570
[116]
GSM2052571
[117]
GSM2052572
[118]
GSM2052573
[119]
GSM2052574
[120]
GSM2052575
[121]
GSM2052576
[122]
GSM2052577
[123]
GSM2052578
[124]
GSM2052579
sample_count
125
group_sizes
null
group_sizes_basis
null
platform
6244
taxon
Homo sapiens
title
Gene expression profiling in paired human hepatocellular carcinoma and liver parenchyma biopsies and normal liver biopsies.
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 6 items
[0]
asset:data:geo:GSE14520 not downloaded
[1]
asset:data:geo:GSE14520 licence not read
[2]
asset:data:geo:GSE22058 not downloaded
[3]
asset:data:geo:GSE22058 licence not read
[4]
asset:data:geo:GSE64041 not downloaded
[5]
asset:data:geo:GSE64041 licence not read
analysis object · 4 fields
state
partial
methods array · 4 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
The Kaplan Meier method was used to analyze the overall survival, and the log-rank P method was applied to show the statistical difference.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
student_t_test
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
student_t
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
student t-test
[2] object · 10 fields
id
method-3
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.7
band
medium
quote
Kaplan-Meier
[3] object · 10 fields
id
method-4
family
correlation_analysis
specific
pearson
label
Correlation analysis
dsl_operations array · 1 item
[0]
pearson_r
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
0.7
band
medium
quote
Pearson correlation
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
logrank_test
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: log_rank_test.
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]
GSE14520
[1]
GSE22058
[2]
GSE64041
resolved_accessions array · 3 items
[0]
GSE14520
[1]
GSE22058
[2]
GSE64041
statements array · 1 item
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The paper names GSE14520, GSE22058, GSE64041 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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rmed quantitative polymerase chain reaction (qPCR) assay to examine the APEX2 levels in normal
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IA2 tool. For in vitro studies, we performed qPCR to analyze the level of relative gene expres
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d several liver cancer cell lines, including HepG2, Huh7, SMMC7721, and HCCLM3. APEX2 in HCCLM3
[1]
pe Culture Collection (ATCC). LO2 cells were cultured in RMPI-1640, and HepG2, SMMC7721, Huh7, and HC
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HepG2, SMMC7721, Huh7, and HCCLM3 cells were cultured in DMEM, supplemented with 10% FBS and 100 U/mL
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demy of Science. The liver cancer cell lines HepG2 and Huh7 were acquired from American Type Cu
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APEX2 in cell viability was confirmed using CCK-8. Dual-luciferase reporter assay was performe
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ring RNA. The cell viability was tested with CCK-8. The promoter activity was detected by dual-
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k down the APEX2 expression in HCCLM3 cells. Knockdown of APEX2 resulted in a decrease in the viabi
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correlated with the pro-oncogenic pathways. Knockdown of APEX2 could inhibit the cell viability an
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MATERIALS AND METHODS Cell culture and transfection The normal liver cell line LO2 and liver can
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streptomycin. Small interfering RNA (siRNA) transfection was conducted with Lipofectamine 2000 accord
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The Kaplan Meier method was used to analyze the overall survival, and the log-rank P method was applied to show the statistical difference.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32775374", "kind": "science-record", "revision": 7, "content_hash": "sha256:5ac741f291fe8a2cae74ea33a40c31ba88c1e6f1271d1c576b98cfbc569ef845", "created_at": "2026-11-01T15:41:07Z", "updated_at": "2026-11-01T22:02:00Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of APEX2 as an oncogene in liver cancer.", "doi": "10.12998/wjcc.v8.i14.2917", "pmid": "32775374", "authors": ["Ru Zheng", "Heng-Liang Zhu", "Bing-Ren Hu", "Xiao-Jiao Ruan", "Hua-Jie Cai"], "journal": "World journal of clinical cases", "year": 2020, "abstract": "BACKGROUND: DNA damage is one of the critical contributors to the occurrence and development of some cancers. APEX1 and APEX2 are the most important molecules in the DNA damage, and APEX1 has been identified as a diagnostic and prognostic biomarker in liver hepatocellular carcinoma (LIHC). However, the expression of APEX2 and its functional mechanisms in LIHC are still unclear.\nAIM: To examine the expression of APEX2 and the potential mechanism network in LIHC.\nMETHODS: We conducted a pan-cancer analysis of the expression of APEX1 and APEX2 using the interactive TIMER tool. GEO datasets, including GSE14520, GSE22058, and GSE64041, were used to compare the APEX2 expression level in tumor tissues and adjacent non-tumor tissues. Then, we calculated the 5-year survival rate according to the web-based Kaplan-Meier analysis. We included the TCGA liver cancer database in GSEA analysis based on the high and low APEX2 expression, showing the potential mechanisms of APEX2 in LIHC. After that, we conducted Pearson correlation analysis using GEPIA2. Next, we performed quantitative polymerase chain reaction (qPCR) assay to examine the APEX2 levels in normal liver cell line LO2 and several liver cancer cell lines, including HepG2, Huh7, SMMC7721, and HCCLM3. APEX2 in HCCLM3 cells was knocked down using small interfering RNA. The role of APEX2 in cell viability was confirmed using CCK-8. Dual-luciferase reporter assay was performed to examine the promoter activity of CCNB1 and MYC.\nRESULTS: APEX1 and APEX2 are both highly expressed in the tumor tissues of BLCA, BRCA, CHOL, COAD, ESCA, HNSC, LIHC, LUAD, LUSC, READ, and STAD. APEX2 overexpression in LIHC was validated using GSE14520, GSE22058, and GSE64041 datasets. The survival analysis showed that LIHC patients with high expression of APEX2 had a lower overall survival rate, even in the AJCC T1 patients. High level of APEX2 could indicate a lower overall survival rate in patients with or without viral hepatitis. The GSEA analysis identified that kinetochore and spindle microtubules are the two main cellular components of APEX2 in GO Ontology. APEX2 was also positively associated with molecular function regulation of chromosome segregation and DNA replication. The results of KEGG analysis indicated that APEX2 expression was positively correlated with cell cycle pathway and pro-oncogenic MYC signaling. Pearson correlation analysis showed that APEX2 had a significant positive correlation with CCNB1 and MYC. APEX2 level was higher in liver cancer cell lines than in normal liver LO2 cells. Small interfering RNA could knock down the APEX2 expression in HCCLM3 cells. Knockdown of APEX2 resulted in a decrease in the viability of HCCLM3 cells as well as the expression and promoter activity of CCNB1 and MYC.\nCONCLUSION: APEX2 is overexpressed in LIHC, and the higher APEX2 level is associated with a worse prognosis in overall survival. APEX2 is closely involved in the biological processes of chromosome segregation and DNA replication. APEX2 expression is positively correlated with the pro-oncogenic pathways. Knockdown of APEX2 could inhibit the cell viability and CCNB1 and MYC pathways, suggesting that APEX2 is an oncogene in LIHC, which could be a potential pharmaceutic target in the anti-tumor therapy.", "claims": [{"id": "claim-method", "statement": "The Kaplan Meier method was used to analyze the overall survival, and the log-rank P method was applied to show the statistical difference.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32775374", "locator": "sections[12] \"Statistical analysis\" paragraph 2", "quote": "The Kaplan Meier method was used to analyze the overall survival, and the log-rank P method was applied to show the statistical difference."}], "state": "complete"}, {"id": "claim-data-access", "statement": "No additional data are available.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32775374", "locator": "sections[30] \"Footnotes\" paragraph 2", "quote": "No additional data are available."}], "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:32775374"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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For in vitro studies, we performed qPCR to analyze the level of relative gene expres"], "order_basis": "paper_text_order:1124", "id": "assay:1"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["d several liver cancer cell lines, including HepG2, Huh7, SMMC7721, and HCCLM3. APEX2 in HCCLM3", "pe Culture Collection (ATCC). LO2 cells were cultured in RMPI-1640, and HepG2, SMMC7721, Huh7, and HC", "HepG2, SMMC7721, Huh7, and HCCLM3 cells were cultured in DMEM, supplemented with 10% FBS and 100 U/mL", "demy of Science. The liver cancer cell lines HepG2 and Huh7 were acquired from American Type Cu"], "order_basis": "paper_text_order:1241", "id": "assay:2"}, {"role": "data_generation", "definition_id": "apoptosis_assay", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["APEX2 in cell viability was confirmed using CCK-8. Dual-luciferase reporter assay was performe", "ring RNA. The cell viability was tested with CCK-8. The promoter activity was detected by dual-"], "order_basis": "paper_text_order:1401", "id": "assay:3"}, {"role": "data_generation", "definition_id": "transfection", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["k down the APEX2 expression in HCCLM3 cells. Knockdown of APEX2 resulted in a decrease in the viabi", "correlated with the pro-oncogenic pathways. Knockdown of APEX2 could inhibit the cell viability an", "MATERIALS AND METHODS Cell culture and transfection The normal liver cell line LO2 and liver can", "streptomycin. Small interfering RNA (siRNA) transfection was conducted with Lipofectamine 2000 accord"], "order_basis": "paper_text_order:2654", "id": "assay:4"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["logrank_test"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The Kaplan Meier method was used to analyze the overall survival, and the log-rank P method was applied to show the statistical difference."], "order_basis": "consumes_earlier_output", "id": "assay:5"}]}