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pmid:28177904

Genome-scale analysis identifies GJB2 and ERO1LB as prognosis markers in patients with pancreatic cancer.

Tao Zhu · Yuan-Feng Gao · Yi-Xin Chen · Zhi-Bin Wang · Ji-Ye Yin · Xiao-Yuan Mao · Xi Li · Wei Zhang · Hong-Hao Zhou · Zhao-Qian Liu

Oncotarget · 2017 doi:10.18632/oncotarget.15068

Paper

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Experiment

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Data

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Analysis

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Execution

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Genome-scale analysis identifies GJB2 and ERO1LB as prognosis markers in patients with pancreatic cancer.
doi
10.18632/oncotarget.15068
pmid
28177904
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Tao Zhu
[1]
Yuan-Feng Gao
[2]
Yi-Xin Chen
[3]
Zhi-Bin Wang
[4]
Ji-Ye Yin
[5]
Xiao-Yuan Mao
[6]
Xi Li
[7]
Wei Zhang
[8]
Hong-Hao Zhou
[9]
Zhao-Qian Liu
journal
Oncotarget
year
2017
abstract
Pancreatic cancer is a complex and heterogeneous disease with the etiology largely unknown. The deadly nature of pancreatic cancer, with an extremely low 5-year survival rate, renders urgent a better understanding of the molecular events underlying it. The aim of this study is to investigate the gene expression module of pancreatic adenocarcinoma and to identify differentially expressed genes (DEGs) with prognostic potentials. Transcriptome microarray data of five GEO datasets (GSE15471, GSE16515, GSE18670, GSE32676, GSE71989), including 117 primary tumor samples and 73 normal pancreatic tissue samples, were utilized to identify DEGs. The five sets of DEGs had an overlapping subset consisting of 98 genes (90 up-regulated and 8 down-regulated), which were probably common to pancreatic cancer. Gene ontology (GO) analysis of the 98 DEGs showed that cell cycle and cell adhesion were the major enriched processes, and extracellular matrix (ECM)-receptor interaction and p53 signaling pathway were the most enriched pathways according to Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Elevated expression of gap junction protein beta 2 (GJB2) and reduced endoplasmic reticulum oxidoreductase 1-like beta (ERO1LB) expression were validated in an independent cohort. Kaplan-Meier survival analysis revealed that GJB2 and ERO1LB levels were significantly associated with the overall survival of pancreatic cancer patients. GJB2 and ERO1LB are implicated in pancreatic cancer progression and can be used to predict patient survival. Therapeutic strategies targeting GJB2 and facilitating ERO1LB expression may deserve evaluation to improve prognosis of pancreatic cancer patients.
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Survival analysis was performed through the Kaplan-Meier method and the log-rank test was used to evaluate the statistical significance of the differences.
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sections[9] "Pancreatic adenocarcinoma datasets" paragraph 2
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The DEGs were identified using five independent pancreatic adenocarcinoma microarray datasets including GSE15471, GSE16515, GSE18670, GSE32676 and GSE71989, with 190 samples in total (117 primary tumor samples and 73 normal control samples).
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GSM1844047
[155]
GSM1844049
[156]
GSM1844050
[157]
GSM1844051
[158]
GSM1844052
[159]
GSM1844053
[160]
GSM1844054
[161]
GSM1844055
[162]
GSM1844056
[163]
GSM1844057
[164]
GSM1844058
[165]
GSM1844059
[166]
GSM1844060
[167]
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[168]
GSM1844062
[169]
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[170]
GSM1844064
[171]
GSM1844065
[172]
GSM1844066
[173]
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[174]
GSM1844068
[175]
GSM1844069
[176]
GSM1844070
[177]
GSM1844071
[178]
GSM1844072
[179]
GSM1844073
[180]
GSM1844074
[181]
GSM1844075
[182]
GSM1844076
[183]
GSM1844077
[184]
GSM1844078
[185]
GSM1844079
[186]
GSM1844080
[187]
GSM1844081
[188]
GSM1844082
[189]
GSM1844083
[190]
GSM1844084
[191]
GSM1844085
[192]
GSM1844086
[193]
GSM1844088
[194]
GSM1844089
[195]
GSM1844090
[196]
GSM1844091
[197]
GSM1844092
[198]
GSM1844093
[199]
GSM1844094
[200]
GSM1844095
[201]
GSM1844096
[202]
GSM1844097
[203]
GSM1844098
[204]
GSM1844099
[205]
GSM1844100
[206]
GSM1844101
[207]
GSM1844102
[208]
GSM1844103
[209]
GSM1844104
[210]
GSM1844105
[211]
GSM1844106
[212]
GSM1844107
[213]
GSM1844108
[214]
GSM1844109
[215]
GSM1844110
[216]
GSM1844111
[217]
GSM1844112
[218]
GSM1844113
[219]
GSM1844114
[220]
GSM1844115
[221]
GSM1844116
[222]
GSM1844117
[223]
GSM1844118
[224]
GSM1844119
[225]
GSM1844120
[226]
GSM1844121
[227]
GSM1844122
[228]
GSM1844123
[229]
GSM1844124
[230]
GSM1844125
[231]
GSM1844126
[232]
GSM1844127
[233]
GSM1844128
[234]
GSM1844129
[235]
GSM1844130
[236]
GSM1844131
[237]
GSM1844132
[238]
GSM1844133
[239]
GSM1844134
[240]
GSM1844135
[241]
GSM1844136
[242]
GSM1844137
[243]
GSM1844138
[244]
GSM1844139
[245]
GSM1844140
[246]
GSM1844141
[247]
GSM1844142
[248]
GSM1844143
[249]
GSM1844144
[250]
GSM1844145
[251]
GSM1844146
[252]
GSM1844147
[253]
GSM1844148
[254]
GSM1844149
[255]
GSM1844150
[256]
GSM1844151
[257]
GSM1844152
[258]
GSM1844153
[259]
GSM1844154
[260]
GSM1844155
[261]
GSM1844156
[262]
GSM1844157
[263]
GSM1844158
[264]
GSM1844159
[265]
GSM1844160
[266]
GSM1844161
[267]
GSM1844162
[268]
GSM1844163
[269]
GSM1844164
[270]
GSM1844165
[271]
GSM1844166
[272]
GSM1844167
[273]
GSM1844168
[274]
GSM1844169
[275]
GSM1844170
[276]
GSM1844171
[277]
GSM1844172
[278]
GSM1844173
[279]
GSM1844174
[280]
GSM1844175
[281]
GSM1844176
[282]
GSM1844177
[283]
GSM1844178
[284]
GSM1844179
[285]
GSM1844180
[286]
GSM1844181
[287]
GSM1844182
[288]
GSM1844183
[289]
GSM1844184
[290]
GSM1844185
[291]
GSM1844186
[292]
GSM1844187
[293]
GSM1844188
[294]
GSM1844189
[295]
GSM1844190
[296]
GSM1844191
[297]
GSM1844192
[298]
GSM1844193
[299]
GSM1844194
[300]
GSM1844195
[301]
GSM1844196
[302]
GSM1844197
[303]
GSM1844198
[304]
GSM1844199
[305]
GSM1844200
[306]
GSM1844201
[307]
GSM1844202
[308]
GSM1844203
[309]
GSM1844204
[310]
GSM1844205
[311]
GSM1844206
[312]
GSM1844207
[313]
GSM1844208
[314]
GSM1844209
[315]
GSM1844210
[316]
GSM1844211
[317]
GSM1844212
[318]
GSM1844213
[319]
GSM1844214
[320]
GSM1844215
[321]
GSM1844216
[322]
GSM1844217
[323]
GSM1844218
[324]
GSM1844219
[325]
GSM1844220
[326]
GSM1844221
[327]
GSM1844222
[328]
GSM1844223
[329]
GSM1844224
[330]
GSM1844225
[331]
GSM1844226
[332]
GSM1844227
[333]
GSM1844228
[334]
GSM1844229
[335]
GSM1844230
[336]
GSM1844231
[337]
GSM1844232
[338]
GSM1844233
[339]
GSM1844234
[340]
GSM1844235
[341]
GSM1844236
[342]
GSM1844237
[343]
GSM1844238
[344]
GSM1844239
[345]
GSM1844240
[346]
GSM1844241
[347]
GSM1844242
[348]
GSM1844243
[349]
GSM1844244
[350]
GSM1844245
[351]
GSM1844246
[352]
GSM1844247
[353]
GSM1844248
[354]
GSM1844249
[355]
GSM1844250
[356]
GSM1844251
sample_count
357
group_sizes
null
group_sizes_basis
null
platform
20769
taxon
Homo sapiens
title
Virtual Microdissection of Pancreatic Ductal Adenocarcinoma Reveals Tumor and Stroma Subtypes.
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[6] object · 15 fields
id
data:geo:GSE71989
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=GSE71989
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE71989
version
null
note
The DEGs were identified using five independent pancreatic adenocarcinoma microarray datasets including GSE15471, GSE16515, GSE18670, GSE32676 and GSE71989, with 190 samples in total (117 primary tumor samples and 73 normal control samples).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The DEGs were identified using five independent pancreatic adenocarcinoma microarray datasets including GSE15471, GSE16515, GSE18670, GSE32676 and GSE71989, with 190 samples in total (117 primary tumor samples and 73 normal control samples).
access_statement_kind
repository_route_statement
sample_accessions array · 22 items
[0]
GSM1849335
[1]
GSM1849336
[2]
GSM1849337
[3]
GSM1849338
[4]
GSM1849339
[5]
GSM1849340
[6]
GSM1849341
[7]
GSM1849342
[8]
GSM1849343
[9]
GSM1849344
[10]
GSM1849345
[11]
GSM1849346
[12]
GSM1849347
[13]
GSM1849348
[14]
GSM1849349
[15]
GSM1849350
[16]
GSM1849351
[17]
GSM1849352
[18]
GSM1849353
[19]
GSM1849354
[20]
GSM1849355
[21]
GSM1849356
sample_count
22
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
The gene expression of normal pancreatic and PDAC tisssues.
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[7] object · 16 fields
id
asset:table:pmid:28177904:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:07744b454619f371dfeb573eedebb4636342a47ad85aef278995abf7be3dda3a
bytes
993
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[3]/table-wrap[1]#T1
version
null
note
Common DEGs identified in pancreatic adenocarcinoma
structure object · 5 fields
pmcid
PMC5400583
section_index
3
section_title
Identification of DEGs between pancreatic adenocarcinomas and non-malignant tissues
row_count
3
column_count
2
table object · 8 fields
label
Table 1
caption
Common DEGs identified in pancreatic adenocarcinoma
rows array · 3 items
[0] array · 2 items
[0]
Regulation
[1]
DEGs (Gene Symbol)
[1] array · 2 items
[0]
Up-regulated
[1]
S100P, GJB2, COL5A1, CST1, SLC6A14, IGFBP3, SLPI, SHISA2, JUP///KRT17, DKK1, C19orf33, IFI27, SDR16C5, PPAPDC1A, LAMC2, TMEM158, ITGA2, SFN, S100A6, ANO1, GPRC5A, FOXQ1, SFTA2, AMIGO2, TMPRSS4, ISG15, LY75, PMEPA1, GCNT3, NQO1, TNFRSF21, TSPAN1, KRT19, LAMB3, CD55, PLAC8, MSLN, NMU, EFNB2, S100A2, BIK, LY6E, PMAIP1, MAL2, HK2, SAMD9, OSBPL3, C1orf106, ANLN, KLF5, PI3, MGLL, HN1, CDH3, MLPH, LOC102724257///TMC5, MALL, RACGAP1, MBOAT2, ITGA3, WNT5A, SDC1, FAM83D, AHNAK2, RTP4, MELK, PKM, CDC20, ARNTL2, S100A16, ECM1, CENPK, MTMR11, FAT1, ZWINT, IFI6, SERPINB5, ZG16B, KCNN4, CEACAM5, CEP55, MPZL2, RHPN2, CDC42EP5, PRC1, SPAG1, CCNB1, ABHD17C, AOC1, DLGAP5
[2] array · 2 items
[0]
Down-regulated
[1]
PAIP2B, ERO1LB, IAPP, AF070581, FAM46C, CA4, FAM150B, AOX1
locator
section[3]/table-wrap[1]#T1
[8] object · 16 fields
id
asset:table:pmid:28177904:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:a006244af668db9b29d434eb311655fc1a47ff01133ec0dfbed91789fc63612f
bytes
1076
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[6]/table-wrap[1]#T2
version
null
note
Correlation between GJB2, ERO1LB expression and clinicopathologic features of PDAC patients
structure object · 5 fields
pmcid
PMC5400583
section_index
6
section_title
GJB2 and ERO1LB expression were indicators for prognosis of patients with pancreatic adenocarcinoma
row_count
14
column_count
8
table object · 8 fields
label
Table 2
caption
Correlation between GJB2, ERO1LB expression and clinicopathologic features of PDAC patients
rows array · 14 items
[0] array · 4 items
[0]
Factor
[1]
Number
[2]
GJB2
[3]
ERO1LB
[1] array · 6 items
[0]
Low expression
[1]
High expression
[2]
P
[3]
Low expression
[4]
High expression
[5]
P
[2] array · 8 items
[0]
Gender
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[3] array · 8 items
[0]
Male
[1]
91
[2]
47 (51.6)
[3]
44 (48.4)
[4]
0.578
[5]
48 (52.7)
[6]
43 (47.3)
[7]
0.385
[4] array · 8 items
[0]
Female
[1]
74
[2]
35 (47.3)
[3]
39 (52.7)
[4]
[5]
34 (45.9)
[6]
40 (54.1)
[7]
[5] array · 8 items
[0]
Age
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[6] array · 8 items
[0]
≥ 60
[1]
114
[2]
56 (49.1)
[3]
58 (50.9)
[4]
0.825
[5]
58 (50.9)
[6]
56 (49.1)
[7]
0.650
[7] array · 8 items
[0]
< 60
[1]
51
[2]
26 (51.0)
[3]
25 (49.0)
[4]
[5]
24 (47.1)
[6]
27 (52.9)
[7]
[8] array · 8 items
[0]
TNM stage
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[9] array · 8 items
[0]
≥ II
[1]
144
[2]
68 (47.2)
[3]
76 (52.8)
[4]
0.096
[5]
76 (52.8)
[6]
68 (47.2)
[7]
0.038
[10] array · 8 items
[0]
I
[1]
21
[2]
14 (66.7)
[3]
7 (33.3)
[4]
[5]
6 (28.6)
[6]
15 (71.4)
[7]
[11] array · 8 items
[0]
Grade
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[12] array · 8 items
[0]
III + IV
[1]
48
[2]
21 (43.8)
[3]
27 (56.2)
[4]
0.328
[5]
23 (47.9)
[6]
25 (52.1)
[7]
0.770
[13] array · 8 items
[0]
I + II
[1]
117
[2]
61 (52.1)
[3]
56 (47.9)
[4]
[5]
59 (50.4)
[6]
58 (49.6)
[7]
locator
section[6]/table-wrap[1]#T2
gaps array · 12 items
[0]
asset:data:geo:GSE15471 not downloaded
[1]
asset:data:geo:GSE15471 licence not read
[2]
asset:data:geo:GSE16515 not downloaded
[3]
asset:data:geo:GSE16515 licence not read
[4]
asset:data:geo:GSE18670 not downloaded
[5]
asset:data:geo:GSE18670 licence not read
[6]
asset:data:geo:GSE32676 not downloaded
[7]
asset:data:geo:GSE32676 licence not read
[8]
asset:data:geo:GSE71729 not downloaded
[9]
asset:data:geo:GSE71729 licence not read
[10]
asset:data:geo:GSE71989 not downloaded
[11]
asset:data:geo:GSE71989 licence not read
analysis object · 4 fields
state
complete
methods array · 3 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
Survival analysis was performed through the Kaplan-Meier method and the log-rank test was used to evaluate the statistical significance of the differences.
[1] object · 10 fields
id
method-2
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
[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 · 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 · 6 items
[0]
GSE15471
[1]
GSE16515
[2]
GSE18670
[3]
GSE32676
[4]
GSE71989
[5]
GSE71729
resolved_accessions array · 6 items
[0]
GSE15471
[1]
GSE16515
[2]
GSE18670
[3]
GSE32676
[4]
GSE71989
[5]
GSE71729
statements array · 1 item
[0]
The DEGs were identified using five independent pancreatic adenocarcinoma microarray datasets including GSE15471, GSE16515, GSE18670, GSE32676 and GSE71989, with 190 samples in total (117 primary tumor samples and 73 normal control samples).
basis
The paper names GSE15471, GSE16515, GSE18670, GSE32676, GSE71989, GSE71729 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 · 1 item
[0]
logrank_test
assets array · 4 items
[0]
source:pmid:28177904
[1]
data:geo:GSE15471
[2]
asset:table:pmid:28177904:1
[3]
asset:table:pmid:28177904:2
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:GSE15471
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
2026-10-31T18:09:05Z
independence
same_provider
evidence_check object · 2 fields
method
verbatim
availability
null
calls
3
usage object · 3 fields
prompt_tokens
24607
completion_tokens
2151
cached_tokens
656
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:28177904
type
paper
label
pmid:28177904
[1] object · 3 fields
id
source:pmid:28177904
type
manuscript
label
PMID 28177904 full text
[2] object · 3 fields
id
data:geo:GSE15471
type
dataset
label
GEO GSE15471
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:28177904
type
paper
label
pmid:28177904
[1] object · 3 fields
id
source:pmid:28177904
type
manuscript
label
PMID 28177904 full text
[2] object · 3 fields
id
data:geo:GSE15471
type
dataset
label
GEO GSE15471
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-28177904
type
extraction
used array · 1 item
[0]
source:pmid:28177904
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE15471
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE15471
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:28177904
parent_hash
sha256:ffe081bd4aa5c21b105cedecd973811ac69ab55d952765c89ef092af51f6cf88
fork_of
null
gaps array · 16 items
[0]
asset:data:geo:GSE15471 licence not read
[1]
asset:data:geo:GSE15471 not downloaded
[2]
asset:data:geo:GSE16515 licence not read
[3]
asset:data:geo:GSE16515 not downloaded
[4]
asset:data:geo:GSE18670 licence not read
[5]
asset:data:geo:GSE18670 not downloaded
[6]
asset:data:geo:GSE32676 licence not read
[7]
asset:data:geo:GSE32676 not downloaded
[8]
asset:data:geo:GSE71729 licence not read
[9]
asset:data:geo:GSE71729 not downloaded
[10]
asset:data:geo:GSE71989 licence not read
[11]
asset:data:geo:GSE71989 not downloaded
[12]
execution.not_run
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review.human_critique
[14]
review.independent_reader
[15]
review.machine_critique
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s) with prognostic potentials. Transcriptome microarray data of five GEO datasets (GSE15471, GSE1651
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Survival analysis was performed through the Kaplan-Meier method and the log-rank test was used to evaluate the statistical significance of the differences.
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Complete file
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The deadly nature of pancreatic cancer, with an extremely low 5-year survival rate, renders urgent a better understanding of the molecular events underlying it. The aim of this study is to investigate the gene expression module of pancreatic adenocarcinoma and to identify differentially expressed genes (DEGs) with prognostic potentials. Transcriptome microarray data of five GEO datasets (GSE15471, GSE16515, GSE18670, GSE32676, GSE71989), including 117 primary tumor samples and 73 normal pancreatic tissue samples, were utilized to identify DEGs. The five sets of DEGs had an overlapping subset consisting of 98 genes (90 up-regulated and 8 down-regulated), which were probably common to pancreatic cancer. 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