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pmid:27801851

PPIC, EMP3 and CHI3L1 Are Novel Prognostic Markers for High Grade Glioma.

Yuan-Feng Gao · Tao Zhu · Chen-Xue Mao · Zhi-Xiong Liu · Zhi-Bin Wang · Xiao-Yuan Mao · Ling Li · Ji-Ye Yin · Hong-Hao Zhou · Zhao-Qian Liu

International journal of molecular sciences · 2016 doi:10.3390/ijms17111808

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title
PPIC, EMP3 and CHI3L1 Are Novel Prognostic Markers for High Grade Glioma.
doi
10.3390/ijms17111808
pmid
27801851
authors array · 10 items
[0]
Yuan-Feng Gao
[1]
Tao Zhu
[2]
Chen-Xue Mao
[3]
Zhi-Xiong Liu
[4]
Zhi-Bin Wang
[5]
Xiao-Yuan Mao
[6]
Ling Li
[7]
Ji-Ye Yin
[8]
Hong-Hao Zhou
[9]
Zhao-Qian Liu
journal
International journal of molecular sciences
year
2016
abstract
Current treatment methods for patients diagnosed with gliomas have shown limited success. This is partly due to the lack of prognostic genes available to accurately predict disease outcomes. The aim of this study was to investigate novel prognostic genes based on the molecular profile of tumor samples and their correlation with clinical parameters. In the current study, microarray data (GSE4412 and GSE7696) downloaded from Gene Expression Omnibus were used to identify differentially expressed prognostic genes (DEPGs) by significant analysis of microarray (SAM) between long-term survivors (>2 years) and short-term survivors (≤2 years). DEPGs generated from these two datasets were intersected to obtain a list of common DEPGs. The expression of a subset of common DEPGs was then independently validated by real-time reverse transcription quantitative PCR (qPCR). Survival value of the common DEPGs was validated using known survival data from the GSE4412 and TCGA dataset. After intersecting DEPGs generated from the above two datasets, three genes were identified which may potentially be used to determine glioma patient prognosis. Independent validation with glioma patients tissue (n = 70) and normal brain tissue (n = 19) found PPIC, EMP3 and CHI3L1 were up-regulated in glioma tissue. Survival value validation showed that the three genes correlated with patient survival by Kaplan-Meir analysis, including grades, age and therapy.
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Expression profiles (GSE4412, GSE7696 and GSE4290) were acquired from the Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) database. The platform of GSE4412 is GPL96 [HG-U133A] Affymetrix Human Genome U133A Array. Only grade III (n = 24) and IV (n = 50) gliomas were included in GSE4412.
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sections[10] "4.1. Affymetrix Microarray Data" paragraph 2
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Expression profiles (GSE4412, GSE7696 and GSE4290) were acquired from the Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) database.
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sections[10] "4.1. Affymetrix Microarray Data" paragraph 2
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The platform of GSE4412 is GPL96 [HG-U133A] Affymetrix Human Genome U133A Array.
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Only grade III (n = 24) and IV (n = 50) gliomas were included in GSE4412.
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The study identified PPIC, EMP3, and CHI3L1 as three common differentially expressed prognostic genes in glioma.
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sections[3] "2.1. Identification of DEPGs" paragraph 2
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Intersection of the DEPGs revealed a total of three common DEPGs—PPIC, EMP3 and CHI3L1—suggesting that these common DEPGs may be potential prognostic indicators of glioma progression (Figure 1E).
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In the current study, microarray data (GSE4412 and GSE7696) downloaded from Gene Expression Omnibus were used to identify differentially expressed prognostic genes (DEPGs) by significant analysis of microarray (SAM) between long-term survivors (>2 years) and short-term survivors (≤2 years).
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sections[11] "4.2. Differentially Expressed Prognostic Genes (DEPGs) Analysis" paragraph 2
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Genes were considered differentially expressed when meeting the cut-off criterion of |log fold change (FC)| ≥ 1.5 and p < 0.05.
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sections[11] "4.2. Differentially Expressed Prognostic Genes (DEPGs) Analysis" paragraph 2
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The results generated from GSE4412 and GSE7696 datasets were then intersected to find DEPGs.
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[50]
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[57]
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GSM187236
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null
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570
taxon
Homo sapiens
title
Glioblastoma from a homogenous cohort of patients treated within clinical trial
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
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[4] object · 16 fields
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Correlation between PPIC/EMP3/CHI3L1 expression and glioma clinicopathologic features in 70 patients.
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PMC5133809
section_index
4
section_title
2.2. Independent Validation of Glioma-Specific Markers
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12
column_count
14
table object · 8 fields
label
Table 1
caption
Correlation between PPIC/EMP3/CHI3L1 expression and glioma clinicopathologic features in 70 patients.
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[0] array · 11 items
[0]
[1]
N%
[2]
PPIC Expression Levels
[3]
[4]
[5]
EMP3 Expression Levels
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[7]
[8]
CHI3L1 Expression Levels
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[10]
[1] array · 12 items
[0]
High
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Low
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p
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High
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(High/Low)
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[0]
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35
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0.371
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0.184
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32
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0.5
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0.835
[10]
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[11]
33
[12]
0.454
[13]
0.441
[5] array · 11 items
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0.294
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32
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0.786
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0.389
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0.563
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11
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25
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Clinical and histological characteristics of patients with glioma.
structure object · 5 fields
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PMC5133809
section_index
10
section_title
4.1. Affymetrix Microarray Data
row_count
16
column_count
5
table object · 8 fields
label
Table 2
caption
Clinical and histological characteristics of patients with glioma.
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[0] array · 5 items
[0]
Sequence
[1]
GSE4412
[2]
GSE7696
[3]
GSE4290
[4]
TCGA
[1] array · 5 items
[0]
Patients (n)
[1]
74
[2]
60
[3]
157
[4]
567
[2] array · 5 items
[0]
Male
[1]
28
[2]
43
[3]
[4]
347
[3] array · 5 items
[0]
Female
[1]
46
[2]
17
[3]
[4]
220
[4] array · 5 items
[0]
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[1]
46 (18–82)
[2]
48 (33–70)
[3]
[4]
58 (10–89)
[5] array · 5 items
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[2]
[3]
[4]
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[4]
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24
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31
[4]
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[0]
IV
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50
[2]
60
[3]
81
[4]
567
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[0]
Temozolomide (TMZ) (n)
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[2]
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[6] object · 16 fields
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section[13]/table-wrap[1]#ijms-17-01808-t003
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Primer sequences used for real-time PCR.
structure object · 5 fields
pmcid
PMC5133809
section_index
13
section_title
4.4. RNA Extraction and Reverse-Transcription PCR from Human Tissue
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9
column_count
3
table object · 8 fields
label
Table 3
caption
Primer sequences used for real-time PCR.
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[0] array · 3 items
[0]
Gene
[1]
Sequence
[2]
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[1] array · 3 items
[0]
PPIC
[1]
F: AGCAAGTTTCATCGTGTCATCA
[2]
22
[2] array · 2 items
[0]
R: TGGAAATGTCTCACCATAGATGC
[1]
23
[3] array · 3 items
[0]
EMP3
[1]
F: GGAGGTCTCTTCTATGCCACC
[2]
21
[4] array · 2 items
[0]
R: AGGATCTCCTCGGCGTGAAT
[1]
20
[5] array · 3 items
[0]
CHI3L1
[1]
F: GTGAAGGCGTCTCAAACAGG
[2]
20
[6] array · 2 items
[0]
R: GAAGCGGTCAAGGGCATCT
[1]
19
[7] array · 3 items
[0]
GAPDH
[1]
F: GAGTCAACGGATTTGGTCGT
[2]
20
[8] array · 2 items
[0]
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[1]
20
locator
section[13]/table-wrap[1]#ijms-17-01808-t003
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asset:data:geo:GSE4290 not downloaded
[1]
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[2]
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[3]
asset:data:geo:GSE4412 licence not read
[4]
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[5]
asset:data:geo:GSE7696 licence not read
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[0] object · 10 fields
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method-1
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survival_analysis
specific
kaplan_meier
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Survival analysis
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[0]
survival_km
missing_operations array · 0 items
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time_to_event_with_censoring
evidence object · 3 fields
score
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Kaplan-Meier
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id
method-2
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survival_analysis
specific
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[0]
logrank_test
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time_to_event_with_censoring
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method-3
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network_analysis
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Network / pathway analysis
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pathway_enrich
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edge_list
evidence object · 3 fields
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0.7
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PPI
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id
method-4
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null
specific
null
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Significant analysis of microarray (SAM)
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score
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“In the current study, microarray data (GSE4412 and GSE7696) downloaded from Gene Expression Omnibus were used to identify differentially expressed prognostic genes (DEPGs) by significant analysis of microarray (SAM) between long-term survivors (>2 years) and short-term survivors (≤2 years).”
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null
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complete
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The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold.
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method.reader_named_unmapped
capability object · 3 fields
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complete
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capability:computational_analysis
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meta_analysis
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gwas
candidate
Automated Assays Laravel application and simulated adapters
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survival_km
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The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier.
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tier
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capability:computational_analysis
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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
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[0]
GSE4412
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GSE4290
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[0]
GSE4412
[1]
GSE7696
[2]
GSE4290
statements array · 1 item
[0]
Expression profiles (GSE4412, GSE7696 and GSE4290) were acquired from the Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) database. The platform of GSE4412 is GPL96 [HG-U133A] Affymetrix Human Genome U133A Array. Only grade III (n = 24) and IV (n = 50) gliomas were included in GSE4412.
basis
The paper names GSE4412, GSE7696, GSE4290 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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minimax
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minimax
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h clinical parameters. In the current study, microarray data (GSE4412 and GSE7696) downloaded from G
[1]
tic genes (DEPGs) by significant analysis of microarray (SAM) between long-term survivors (>2 years)
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:27801851", "kind": "science-record", "revision": 8, "content_hash": "sha256:9c19ea33c4bcf2a0bad2e9eb79d5393ac9cc9268d56e4b217285f9fb6d78bf77", "created_at": "2026-11-01T15:40:21Z", "updated_at": "2026-11-01T21:59:12Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "PPIC, EMP3 and CHI3L1 Are Novel Prognostic Markers for High Grade Glioma.", "doi": "10.3390/ijms17111808", "pmid": "27801851", "authors": ["Yuan-Feng Gao", "Tao Zhu", "Chen-Xue Mao", "Zhi-Xiong Liu", "Zhi-Bin Wang", "Xiao-Yuan Mao", "Ling Li", "Ji-Ye Yin", "Hong-Hao Zhou", "Zhao-Qian Liu"], "journal": "International journal of molecular sciences", "year": 2016, "abstract": "Current treatment methods for patients diagnosed with gliomas have shown limited success. This is partly due to the lack of prognostic genes available to accurately predict disease outcomes. The aim of this study was to investigate novel prognostic genes based on the molecular profile of tumor samples and their correlation with clinical parameters. In the current study, microarray data (GSE4412 and GSE7696) downloaded from Gene Expression Omnibus were used to identify differentially expressed prognostic genes (DEPGs) by significant analysis of microarray (SAM) between long-term survivors (>2 years) and short-term survivors (≤2 years). DEPGs generated from these two datasets were intersected to obtain a list of common DEPGs. The expression of a subset of common DEPGs was then independently validated by real-time reverse transcription quantitative PCR (qPCR). Survival value of the common DEPGs was validated using known survival data from the GSE4412 and TCGA dataset. After intersecting DEPGs generated from the above two datasets, three genes were identified which may potentially be used to determine glioma patient prognosis. Independent validation with glioma patients tissue (n = 70) and normal brain tissue (n = 19) found PPIC, EMP3 and CHI3L1 were up-regulated in glioma tissue. Survival value validation showed that the three genes correlated with patient survival by Kaplan-Meir analysis, including grades, age and therapy.", "claims": [{"id": "claim-data-access", "statement": "Expression profiles (GSE4412, GSE7696 and GSE4290) were acquired from the Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) database. The platform of GSE4412 is GPL96 [HG-U133A] Affymetrix Human Genome U133A Array. Only grade III (n = 24) and IV (n = 50) gliomas were included in GSE4412.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:27801851", "locator": "sections[10] \"4.1. Affymetrix Microarray Data\" paragraph 2", "quote": "Expression profiles (GSE4412, GSE7696 and GSE4290) were acquired from the Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) database."}, {"asset": "source:pmid:27801851", "locator": "sections[10] \"4.1. Affymetrix Microarray Data\" paragraph 2", "quote": "The platform of GSE4412 is GPL96 [HG-U133A] Affymetrix Human Genome U133A Array."}, {"asset": "source:pmid:27801851", "locator": "sections[10] \"4.1. Affymetrix Microarray Data\" paragraph 2", "quote": "Only grade III (n = 24) and IV (n = 50) gliomas were included in GSE4412."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study identified PPIC, EMP3, and CHI3L1 as three common differentially expressed prognostic genes in glioma.", "kind": "quantitative", "target": {"value": 0.05, "unit": "p-value", "tolerance": null, "source": "Genes were considered differentially expressed when meeting the cut-off criterion of |log fold change (FC)| ≥ 1.5 and p < 0.05."}, "evidence": [{"asset": "source:pmid:27801851", "locator": "sections[3] \"2.1. Identification of DEPGs\" paragraph 2", "quote": "Intersection of the DEPGs revealed a total of three common DEPGs—PPIC, EMP3 and CHI3L1—suggesting that these common DEPGs may be potential prognostic indicators of glioma progression (Figure 1E)."}, {"asset": "source:pmid:27801851", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "In the current study, microarray data (GSE4412 and GSE7696) downloaded from Gene Expression Omnibus were used to identify differentially expressed prognostic genes (DEPGs) by significant analysis of microarray (SAM) between long-term survivors (>2 years) and short-term survivors (≤2 years)."}, {"asset": "source:pmid:27801851", "locator": "sections[11] \"4.2. Differentially Expressed Prognostic Genes (DEPGs) Analysis\" paragraph 2", "quote": "Genes were considered differentially expressed when meeting the cut-off criterion of |log fold change (FC)| ≥ 1.5 and p < 0.05."}, {"asset": "source:pmid:27801851", "locator": "sections[11] \"4.2. 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