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pmid:34335950

Dyslipidemia in Chinese Pancreatic Cancer Patients: A Two-Center Retrospective Study.

Feiyang Wang · Li Huang · Jinyan Zhang · Junwei Fan · Heshui Wu · Junming Xu

Journal of Cancer · 2021 doi:10.7150/jca.60340

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:34335950
kind
science-record
content_hash
sha256:9901a7cdc23a692a68695a55a85ec6d3d8f34f48a90711358cf96a9a396b24c5
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:46Z
updated_at
2026-11-01T22:47:14Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Dyslipidemia in Chinese Pancreatic Cancer Patients: A Two-Center Retrospective Study.
doi
10.7150/jca.60340
pmid
34335950
authors array · 6 items
[0]
Feiyang Wang
[1]
Li Huang
[2]
Jinyan Zhang
[3]
Junwei Fan
[4]
Heshui Wu
[5]
Junming Xu
journal
Journal of Cancer
year
2021
abstract
Background: Pancreatic cancer (PC) is one of the most aggressive and lethal malignancies in the world. High cholesterol intake may have a certain association with an elevated risk of PC, though dyslipidemia in PC patients has rarely been reported. In this study, we compared serum lipids levels between PC and non-PC tumor patients and assessed their prognostic value in PC. Methods: 271 patients treated at Wuhan Union Hospital from January 2012 to December 2016 and 204 individuals at Shanghai General Hospital from January 2018 to December 2019 were recruited. Their demographic parameters, laboratory data, pathological information, and clinical outcomes were extracted and analyzed. The mRNA expressions of related lipoprotein, low density lipoprotein receptor (LDLR) and high density lipoprotein binding protein (HDLBP), in PC tissues and paired noncancerous tissues and follow-up information were assessed based on the GEO database (GSE15471 and GSE62165) and TCGA database. Results: A total of 172 non-PC tumor patients and 260 PC patients were finally eligible for our analysis. PC patients exhibited higher levels of serum triglyceride, cholesterol, and low-density lipoprotein (LDL) and a lower serum high-density lipoprotein (HDL) level on admission versus the non-PC tumor group. In PC patients, LDLR mRNA expression was upregulated, and HDLBP mRNA expression was downregulated in cancerous tissues compared to these levels in paired noncancerous tissues. The survival analysis revealed that dyslipidemia had a non-significant association with a poor prognosis, but PC patients with a high LDLR level were at risk of poor survival. Conclusion: Dyslipidemia is detected in PC patients but has a non-significant relation to PC prognosis. However, LDLR may be a potential predictive marker for PC prognosis.
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claim-data-access
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The mRNA expression data of GSE15471 (39 matched pairs of samples) and GSE62165 (118 PC tissue samples and 13 paracancerous tissue samples) were acquired to identify differential target genes of related lipoprotein in PC.
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methodological
target
null
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sections[4] "Microarray data collection" paragraph 2
quote
The mRNA expression data of GSE15471 (39 matched pairs of samples) and GSE62165 (118 PC tissue samples and 13 paracancerous tissue samples) were acquired to identify differential target genes of related lipoprotein in PC.
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complete
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[0] object · 13 fields
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1
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Read the published estimate from the source
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other
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complete
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null
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The claim, method and evidence span published with the source article.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:34335950
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[0]
the published estimate and its evidence
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[1] object · 13 fields
id
obtain_source_data
order
2
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Obtain the source data from the named repository
kind
data-preparation
state
complete
blocked_on
null
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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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data:geo:GSE15471
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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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the replicated result and its comparison
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xml
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https://doi.org/10.7150/jca.60340
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pmcid
PMC8317532
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data:geo:GSE15471
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE15471
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note
The mRNA expression data of GSE15471 (39 matched pairs of samples) and GSE62165 (118 PC tissue samples and 13 paracancerous tissue samples) were acquired to identify differential target genes of related lipoprotein in PC.
structure object · 15 fields
repository
GEO
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GEO accession URL
access_statement_verbatim
The mRNA expression data of GSE15471 (39 matched pairs of samples) and GSE62165 (118 PC tissue samples and 13 paracancerous tissue samples) were acquired to identify differential target genes of related lipoprotein in PC.
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GSM388148
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GSM388149
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GSM388150
[75]
GSM388151
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GSM388152
[77]
GSM388153
sample_count
78
group_sizes
null
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null
platform
570
taxon
Homo sapiens
title
Whole-Tissue Gene Expression Study of Pancreatic Ductal Adenocarcinoma
resolution_checked_at
2026-11-01T15:39:54Z
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identifier_resolution_only_no_download_no_licence_read
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[2] object · 15 fields
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data:geo:GSE62165
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geo-series
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application/vnd.ncbi.geo-series+json
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE62165
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null
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null
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GSE62165
version
null
note
The mRNA expression data of GSE15471 (39 matched pairs of samples) and GSE62165 (118 PC tissue samples and 13 paracancerous tissue samples) were acquired to identify differential target genes of related lipoprotein in PC.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The mRNA expression data of GSE15471 (39 matched pairs of samples) and GSE62165 (118 PC tissue samples and 13 paracancerous tissue samples) were acquired to identify differential target genes of related lipoprotein in PC.
access_statement_kind
repository_route_statement
sample_accessions array · 131 items
[0]
GSM1520738
[1]
GSM1520739
[2]
GSM1520740
[3]
GSM1520741
[4]
GSM1520742
[5]
GSM1520743
[6]
GSM1520744
[7]
GSM1520745
[8]
GSM1520746
[9]
GSM1520747
[10]
GSM1520748
[11]
GSM1520749
[12]
GSM1520750
[13]
GSM1520751
[14]
GSM1520752
[15]
GSM1520753
[16]
GSM1520754
[17]
GSM1520755
[18]
GSM1520756
[19]
GSM1520757
[20]
GSM1520758
[21]
GSM1520759
[22]
GSM1520760
[23]
GSM1520761
[24]
GSM1520762
[25]
GSM1520763
[26]
GSM1520764
[27]
GSM1520765
[28]
GSM1520766
[29]
GSM1520767
[30]
GSM1520768
[31]
GSM1520769
[32]
GSM1520770
[33]
GSM1520771
[34]
GSM1520772
[35]
GSM1520773
[36]
GSM1520774
[37]
GSM1520775
[38]
GSM1520776
[39]
GSM1520777
[40]
GSM1520778
[41]
GSM1520779
[42]
GSM1520780
[43]
GSM1520781
[44]
GSM1520782
[45]
GSM1520783
[46]
GSM1520784
[47]
GSM1520785
[48]
GSM1520786
[49]
GSM1520787
[50]
GSM1520788
[51]
GSM1520789
[52]
GSM1520790
[53]
GSM1520791
[54]
GSM1520792
[55]
GSM1520793
[56]
GSM1520794
[57]
GSM1520795
[58]
GSM1520796
[59]
GSM1520797
[60]
GSM1520798
[61]
GSM1520799
[62]
GSM1520800
[63]
GSM1520801
[64]
GSM1520802
[65]
GSM1520803
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GSM1520804
[67]
GSM1520805
[68]
GSM1520806
[69]
GSM1520807
[70]
GSM1520808
[71]
GSM1520809
[72]
GSM1520810
[73]
GSM1520811
[74]
GSM1520812
[75]
GSM1520813
[76]
GSM1520814
[77]
GSM1520815
[78]
GSM1520816
[79]
GSM1520817
[80]
GSM1520818
[81]
GSM1520819
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GSM1520820
[83]
GSM1520821
[84]
GSM1520822
[85]
GSM1520823
[86]
GSM1520824
[87]
GSM1520825
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GSM1520826
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GSM1520827
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GSM1520828
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GSM1520830
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GSM1520831
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GSM1520832
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GSM1520833
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GSM1520834
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GSM1520835
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GSM1520836
[99]
GSM1520837
[100]
GSM1520838
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GSM1520839
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GSM1520840
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GSM1520841
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GSM1520842
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GSM1520843
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GSM1520844
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GSM1520845
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GSM1520846
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GSM1520847
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GSM1520848
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GSM1520849
[112]
GSM1520850
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GSM1520851
[114]
GSM1520852
[115]
GSM1520853
[116]
GSM1520854
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GSM1520855
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GSM1520856
[119]
GSM1520857
[120]
GSM1520858
[121]
GSM1520859
[122]
GSM1520860
[123]
GSM1520861
[124]
GSM1520862
[125]
GSM1520863
[126]
GSM1520864
[127]
GSM1520865
[128]
GSM1520866
[129]
GSM1520867
[130]
GSM1520868
sample_count
131
group_sizes
null
group_sizes_basis
null
platform
13667
taxon
Homo sapiens
title
Prognostic relevance of molecular subtypes and master regulators in pancreatic ductal adenocarcinoma
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 16 fields
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asset:table:pmid:34335950:1
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table
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jats-table
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application/vnd.jats.table+json
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Demographic characteristics and laboratory data of patients with PC and non-PC tumor
structure object · 5 fields
pmcid
PMC8317532
section_index
7
section_title
Clinical features, laboratory data, and serum lipids levels between PC versus non-PC tumors
row_count
37
column_count
6
table object · 8 fields
label
Table 1
caption
Demographic characteristics and laboratory data of patients with PC and non-PC tumor
rows array · 37 items
[0] array · 6 items
[0]
Characteristics
[1]
[2]
Pancreatic cancer
[3]
[4]
non-PC tumor
[5]
P-value
[1] array · 6 items
[0]
Age, years
[1]
Σ260
[2]
60.48±10.77
[3]
Σ172
[4]
53.29±14.41
[5]
<0.001
[2] array · 6 items
[0]
Gender, male
[1]
Σ260
[2]
167 (64.2%)
[3]
Σ172
[4]
87 (50.6%)
[5]
0.005
[3] array · 6 items
[0]
Smoke
[1]
Σ260
[2]
62 (23.8%)
[3]
Σ172
[4]
34 (19.8%)
[5]
0.319
[4] array · 6 items
[0]
Alcohol
[1]
Σ260
[2]
51 (19.6%)
[3]
Σ172
[4]
18 (10.5%)
[5]
0.011
[5] array · 6 items
[0]
BMI index, kg/m2
[1]
Σ260
[2]
22.17±3.23
[3]
Σ172
[4]
22.32±3.03
[5]
0.639
[6] array · 6 items
[0]
Comorbidities
[1]
[2]
[3]
[4]
[5]
0.545
[7] array · 6 items
[0]
Circulatory system diseases
[1]
Σ260
[2]
69 (26.5%)
[3]
Σ172
[4]
41 (23.8%)
[5]
[8] array · 6 items
[0]
Metablolic diseases
[1]
Σ260
[2]
53 (20.4%)
[3]
Σ172
[4]
24 (14.0%)
[5]
[9] array · 6 items
[0]
Chornic inflammation
[1]
Σ260
[2]
18 (6.9%)
[3]
Σ172
[4]
17 (9.9%)
[5]
[10] array · 6 items
[0]
Other malignant tumor
[1]
Σ260
[2]
8 (3.1%)
[3]
Σ172
[4]
4 (2.3%)
[5]
[11] array · 6 items
[0]
Symptom
[1]
[2]
[3]
[4]
[5]
<0.001
[12] array · 6 items
[0]
Abdominal pain
[1]
Σ260
[2]
146 (56.2%)
[3]
Σ172
[4]
60 (34.9%)
[5]
[13] array · 6 items
[0]
Jaundice
[1]
Σ260
[2]
95 (36.5%)
[3]
Σ172
[4]
8 (4.7%)
[5]
[14] array · 6 items
[0]
Asymptomatic
[1]
Σ260
[2]
31 (11.9%)
[3]
Σ172
[4]
90 (52.3%)
[5]
[15] array · 6 items
[0]
Others
[1]
Σ260
[2]
18 (6.9%)
[3]
Σ172
[4]
17 (9.9%)
[5]
[16] array · 6 items
[0]
Laboratory data
[1]
[2]
[3]
[4]
[5]
[17] array · 6 items
[0]
White cell count, ×109/L
[1]
Σ255
[2]
5.62±1.62
[3]
Σ172
[4]
5.86±1.93
[5]
0.168
[18] array · 6 items
[0]
Hemoglobin, g/L
[1]
Σ255
[2]
123.97±17.20
[3]
Σ172
[4]
129.39±17.58
[5]
0.002
[19] array · 6 items
[0]
Platelet count, ×109/L
[1]
Σ255
[2]
214.12±74.61
[3]
Σ172
[4]
208.09±75.13
[5]
0.414
[20] array · 6 items
[0]
Total bilirubin, μmol/L
[1]
Σ255
[2]
102.54±118.77
[3]
Σ171
[4]
22.38±49.9
[5]
<0.001
[21] array · 6 items
[0]
Alanine aminotransferase, U/L
[1]
Σ254
[2]
140.89±176.78
[3]
Σ171
[4]
42.90±85.03
[5]
<0.001
[22] array · 6 items
[0]
Albumin, g/L
[1]
Σ255
[2]
39.21±5.21
[3]
Σ170
[4]
41.05±5.24
[5]
<0.001
[23] array · 6 items
[0]
Creatinine, μmol/L
[1]
Σ255
[2]
62.38±15.50
[3]
Σ171
[4]
61.68±16.38
[5]
0.657
[24] array · 6 items
[0]
Serum glucose, mmol/L
[1]
Σ250
[2]
6.72±2.69
[3]
Σ165
[4]
5.61±1.90
[5]
<0.001
[25] array · 6 items
[0]
Prothrombin time, s
[1]
Σ252
[2]
12.38±1.54
[3]
Σ170
[4]
12.12±1.54
[5]
0.085
[26] array · 6 items
[0]
Activated partial thromboplastin time, s
[1]
Σ251
[2]
33.91±6.80
[3]
Σ169
[4]
32.36±6.41
[5]
0.020
[27] array · 6 items
[0]
CA199, U/ml
[1]
Σ238
[2]
450.23±493.76
[3]
Σ163
[4]
32.19±107.84
[5]
<0.001
[28] array · 6 items
[0]
Serum lipids level
[1]
[2]
[3]
[4]
[5]
[29] array · 6 items
[0]
Triglyceride, mmol/L
[1]
Σ242
[2]
1.82±1.37
[3]
Σ157
[4]
1.41±1.01
[5]
0.001
[30] array · 6 items
[0]
Cholesterol, mmol/L
[1]
Σ242
[2]
4.93±2.35
[3]
Σ158
[4]
4.36±1.18
[5]
0.005
[31] array · 6 items
[0]
High density lipoprotein, mmol/L
[1]
Σ231
[2]
0.98±0.49
[3]
Σ147
[4]
1.17±0.39
[5]
<0.001
[32] array · 6 items
[0]
Low density lipoprotein, mmol/L
[1]
Σ229
[2]
2.97±1.67
[3]
Σ146
[4]
2.50±1.09
[5]
0.003
[33] array · 6 items
[0]
Lipoprotein a, mmol/L
[1]
Σ82
[2]
207.22±361.98
[3]
Σ80
[4]
264.99±444.73
[5]
0.365
[34] array · 6 items
[0]
Apolipoprotein A1, g/L
[1]
Σ82
[2]
1.11±0.38
[3]
Σ81
[4]
1.29±0.29
[5]
0.001
[35] array · 6 items
[0]
Apolipoprotein B, g/L
[1]
Σ82
[2]
0.88±0.35
[3]
Σ81
[4]
0.76±0.22
[5]
0.007
[36] array · 6 items
[0]
Apolipoprotein E, mg/L
[1]
Σ82
[2]
64.21±58.59
[3]
Σ81
[4]
35.62±23.89
[5]
<0.001
locator
section[7]/table-wrap[1]#T1
[4] object · 16 fields
id
asset:table:pmid:34335950:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:d50bf1f575c5c31bd6b436d1efeb0137125fc7817000ecd490a0e1a3ff438273
bytes
1280
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[8]/table-wrap[1]#T2
version
null
note
Logistic regression analysis of risk factors for PC
structure object · 5 fields
pmcid
PMC8317532
section_index
8
section_title
Logistic regression analysis of risk factors for PC
row_count
16
column_count
5
table object · 8 fields
label
Table 2
caption
Logistic regression analysis of risk factors for PC
rows array · 16 items
[0] array · 3 items
[0]
[1]
Univariable analysis
[2]
Multivariable analysis
[1] array · 4 items
[0]
Odd ratio (95% CI)
[1]
P value
[2]
Odd ratio (95% CI)
[3]
P value
[2] array · 5 items
[0]
Sex, male
[1]
0.57 (0.39, 0.84)
[2]
0.005
[3]
[4]
[3] array · 5 items
[0]
Age, ≥60 years
[1]
1.89 (1.27, 2.82)
[2]
0.002
[3]
[4]
[4] array · 5 items
[0]
Alcohol
[1]
2.09 (1.17, 3.72)
[2]
0.012
[3]
[4]
[5] array · 5 items
[0]
Hemoglobin, <120 g/L
[1]
1.91 (1.23, 2.97)
[2]
0.004
[3]
[4]
[6] array · 5 items
[0]
Total bilirubin, >17.1 μmol/L
[1]
8.30 (5.05, 13.64)
[2]
<0.001
[3]
2.88 (1.39, 5.97)
[4]
0.004
[7] array · 5 items
[0]
Alanine aminotransferase, >50 U/L
[1]
6.58 (4.21, 10.29)
[2]
<0.001
[3]
3.46 (1.55, 7.69)
[4]
0.002
[8] array · 5 items
[0]
Albumin, <35 g/L
[1]
1.27 (0.72, 2.24)
[2]
0.417
[3]
[4]
[9] array · 5 items
[0]
Serum glucose, >7.0 mmol/L
[1]
2.45 (1.47, 4.08)
[2]
0.001
[3]
[4]
[10] array · 5 items
[0]
Activated partial thromboplastin time, >40 s
[1]
1.21 (0.68, 2.14)
[2]
0.521
[3]
[4]
[11] array · 5 items
[0]
CA199, >25 U/ml
[1]
18.78 (11.30, 31.22)
[2]
<0.001
[3]
10.87 (5.97, 19.80)
[4]
<0.001
[12] array · 5 items
[0]
Triglyceride, >1.7 mmol/L
[1]
1.82 (1.18, 2.81)
[2]
0.007
[3]
[4]
[13] array · 5 items
[0]
Cholesterol, >5.18 mmol/L
[1]
2.10 (1.28, 3.45)
[2]
0.003
[3]
[4]
[14] array · 5 items
[0]
High density lipoprotein, <1.16 mmol/L
[1]
1.74 (1.13, 2.67)
[2]
0.012
[3]
[4]
[15] array · 5 items
[0]
Low density lipoprotein, >4.14 mmol/L
[1]
3.10 (1.25, 7.69)
[2]
0.015
[3]
[4]
locator
section[8]/table-wrap[1]#T2
[5] object · 16 fields
id
asset:table:pmid:34335950:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:0ac533140f049f2821bbbbd4801d84573696f107654d3a6e94d8170e154952df
bytes
2681
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[9]/table-wrap[1]#T3
version
null
note
Clinicopathological and follow-up information of PC patients in different lipid level
structure object · 5 fields
pmcid
PMC8317532
section_index
9
section_title
Clinicopathological features and survival analysis between PC patients with different lipid levels
row_count
21
column_count
13
table object · 8 fields
label
Table 3
caption
Clinicopathological and follow-up information of PC patients in different lipid level
rows array · 21 items
[0] array · 13 items
[0]
[1]
High CHOL
[2]
Low CHOL
[3]
P value
[4]
High TG
[5]
Low TG
[6]
P value
[7]
Low HDL
[8]
High HDL
[9]
P value
[10]
High LDL
[11]
Low LDL
[12]
P value
[1] array · 13 items
[0]
Tumor size, cm
[1]
73
[2]
164
[3]
<0.001
[4]
96
[5]
141
[6]
0.057
[7]
158
[8]
69
[9]
0.869
[10]
27
[11]
201
[12]
<0.001
[2] array · 13 items
[0]
[1]
2.91±1.04
[2]
3.63±1.48
[3]
[4]
3.20±1.24
[5]
3.55±1.47
[6]
[7]
3.37±1.41
[8]
3.40±1.38
[9]
[10]
3.50±1.40
[11]
2.55±1.00
[12]
[3] array · 13 items
[0]
Operation type
[1]
73
[2]
169
[3]
0.143
[4]
97
[5]
145
[6]
0.102
[7]
162
[8]
69
[9]
0.124
[10]
27
[11]
202
[12]
0.218
[4] array · 13 items
[0]
Radical resection
[1]
71 (97.3%)
[2]
156 (92.3%)
[3]
[4]
94 (96.9%)
[5]
133 (91.7%)
[6]
[7]
152 (93.8%)
[8]
68 (98.6%)
[9]
[10]
27 (100.0%)
[11]
191 (94.6%)
[12]
[5] array · 13 items
[0]
Palliative resection
[1]
2 (2.7%)
[2]
13 (7.7%)
[3]
[4]
3 (3.1%)
[5]
12 (8.3%)
[6]
[7]
10 (6.2%)
[8]
1 (1.4%)
[9]
[10]
0 (0.0%)
[11]
11 (5.4%)
[12]
[6] array · 13 items
[0]
AJCC stage
[1]
73
[2]
169
[3]
0.055
[4]
97
[5]
145
[6]
0.074
[7]
162
[8]
69
[9]
0.246
[10]
27
[11]
202
[12]
0.961
[7] array · 13 items
[0]
Stage I, II
[1]
56 (76.7%)
[2]
113 (66.9%)
[3]
[4]
74 (76.3%)
[5]
95 (65.5%)
[6]
[7]
118 (72.8%)
[8]
45 (65.2%)
[9]
[10]
20 (74.1%)
[11]
141 (69.8%)
[12]
[8] array · 13 items
[0]
Stage III, IV
[1]
17 (23.3%)
[2]
56 (33.1%)
[3]
[4]
23 (23.7%)
[5]
50 (34.5%)
[6]
[7]
44 (27.2%)
[8]
24 (34.8%)
[9]
[10]
7 (25.9%)
[11]
61 (30.2%)
[12]
[9] array · 13 items
[0]
Differentiation degree
[1]
67
[2]
143
[3]
0.601
[4]
86
[5]
128
[6]
0.394
[7]
146
[8]
62
[9]
0.186
[10]
25
[11]
178
[12]
0.417
[10] array · 13 items
[0]
Well
[1]
13 (19.4%)
[2]
27 (18.9%)
[3]
[4]
15 (17.4%)
[5]
25 (19.5%)
[6]
[7]
27 (18.5%)
[8]
12 (19.4%)
[9]
[10]
7 (28.0%)
[11]
31 (17.4%)
[12]
[11] array · 13 items
[0]
Moderate
[1]
36 (53.7%)
[2]
71 (49.7%)
[3]
[4]
41 (47.7%)
[5]
66 (51.6%)
[6]
[7]
68 (46.6%)
[8]
36 (58.1%)
[9]
[10]
11 (44.0%)
[11]
93 (52.2%)
[12]
[12] array · 13 items
[0]
Poor
[1]
18 (26.9%)
[2]
45 (31.5%)
[3]
[4]
30 (34.9%)
[5]
37 (28.9%)
[6]
[7]
51 (34.9%)
[8]
14 (22.6%)
[9]
[10]
7 (28.0%)
[11]
54 (30.3%)
[12]
[13] array · 13 items
[0]
Nerve invasion
[1]
67
[2]
148
[3]
0.574
[4]
89
[5]
126
[6]
0.664
[7]
142
[8]
66
[9]
0.977
[10]
26
[11]
180
[12]
0.269
[14] array · 13 items
[0]
[1]
37 (55.2%)
[2]
80 (54.1%)
[3]
[4]
50 (56.2%)
[5]
67 (53.2%)
[6]
[7]
75 (52.8%)
[8]
35 (53.0%)
[9]
[10]
13 (50.0%)
[11]
96 (53.3%)
[12]
[15] array · 13 items
[0]
Vascular invasion
[1]
68
[2]
148
[3]
0.874
[4]
90
[5]
126
[6]
0.977
[7]
143
[8]
66
[9]
0.140
[10]
26
[11]
181
[12]
0.753
[16] array · 13 items
[0]
[1]
12 (17.6%)
[2]
31 (20.9%)
[3]
[4]
18 (20.0%)
[5]
25 (19.8%)
[6]
[7]
32 (22.4%)
[8]
9 (13.6%)
[9]
[10]
3 (11.5%)
[11]
37 (20.4%)
[12]
[17] array · 13 items
[0]
Follow-up, months
[1]
73
[2]
169
[3]
0.083
[4]
97
[5]
145
[6]
0.846
[7]
162
[8]
69
[9]
0.065
[10]
27
[11]
202
[12]
0.009
[18] array · 13 items
[0]
[1]
80.99±69.65
[2]
64.86±64.57
[3]
[4]
70.74±63.92
[5]
69.04±68.24
[6]
[7]
66.57±62.13
[8]
84.38±76.74
[9]
[10]
102.67±67.72
[11]
67.98±66.36
[12]
[19] array · 13 items
[0]
Disease related death
[1]
73
[2]
169
[3]
0.959
[4]
97
[5]
145
[6]
0.774
[7]
162
[8]
69
[9]
0.397
[10]
27
[11]
202
[12]
0.991
[20] array · 13 items
[0]
[1]
40 (54.8%)
[2]
92 (54.4%)
[3]
[4]
54 (55.7%)
[5]
78 (53.8%)
[6]
[7]
92 (56.8%)
[8]
35 (50.7%)
[9]
[10]
15 (55.6%)
[11]
112 (55.4%)
[12]
locator
section[9]/table-wrap[1]#T3
gaps array · 4 items
[0]
asset:data:geo:GSE15471 not downloaded
[1]
asset:data:geo:GSE15471 licence not read
[2]
asset:data:geo:GSE62165 not downloaded
[3]
asset:data:geo:GSE62165 licence not read
analysis object · 4 fields
state
partial
methods array · 6 items
[0] object · 10 fields
id
method-1
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
1
band
reordered
quote
"Normally distributed continuous variables were compared by using Student's t-test, and differences in categorical variables were analyzed using the chi-square or Fisher's exact test." "The Mann-Whitney U test was used for comparisons in nonnormally distributed variables." "A logistic regression analysis model was used to identify risk factors of PC." "Patient overall survival (OS) was obtained using the Kaplan-Meier method." "Demographic characteristics, laboratory results, serum lipids levels, surgical and pathological data were collected through electronic medical records and paper charts."
[1] object · 10 fields
id
method-2
family
group_comparison
specific
mann_whitney
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_mann_whitney
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
Mann-Whitney
[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
0.8
band
high
quote
Kaplan-Meier
[3] object · 10 fields
id
method-4
family
regression_modelling
specific
logistic
label
Regression modelling
dsl_operations array · 1 item
[0]
glm_logit_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
predictors_and_outcome
evidence object · 3 fields
score
0.8
band
high
quote
logistic regression
[4] object · 10 fields
id
method-5
family
contingency_analysis
specific
chi_square
label
Categorical (contingency table) analysis
dsl_operations array · 1 item
[0]
chi_square_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
categorical_cross_tabulation
evidence object · 3 fields
score
0.8
band
high
quote
chi-square
[5] object · 10 fields
id
method-6
family
contingency_analysis
specific
fisher_exact
label
Categorical (contingency table) analysis
dsl_operations array · 2 items
[0]
contingency_table
[1]
chi_square_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
categorical_cross_tabulation
evidence object · 3 fields
score
0.8
band
high
quote
Fisher's exact
targets array · 0 items
gaps array · 1 item
[0]
method.student_t
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
false
required_operations array · 0 items
missing_operations array · 1 item
[0]
student_t
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: student_t_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 · 2 items
[0]
GSE15471
[1]
GSE62165
resolved_accessions array · 2 items
[0]
GSE15471
[1]
GSE62165
statements array · 1 item
[0]
The mRNA expression data of GSE15471 (39 matched pairs of samples) and GSE62165 (118 PC tissue samples and 13 paracancerous tissue samples) were acquired to identify differential target genes of related lipoprotein in PC.
basis
The paper names GSE15471, GSE62165 in GEO (Gene Expression Omnibus) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 0 items
assets array · 5 items
[0]
source:pmid:34335950
[1]
data:geo:GSE15471
[2]
asset:table:pmid:34335950:1
[3]
asset:table:pmid:34335950:2
[4]
asset:table:pmid:34335950:3
steps array · 0 items
must_build object · 5 fields
dsl_operations array · 1 item
[0] object · 3 fields
operation
student_t
priority
null
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
2026-10-31T18:33:19Z
independence
single_reader
evidence_check object · 2 fields
method
reordered
availability
null
calls
3
usage object · 3 fields
prompt_tokens
18938
completion_tokens
1461
cached_tokens
784
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:34335950
type
paper
label
pmid:34335950
[1] object · 3 fields
id
source:pmid:34335950
type
manuscript
label
PMID 34335950 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:34335950
type
paper
label
pmid:34335950
[1] object · 3 fields
id
source:pmid:34335950
type
manuscript
label
PMID 34335950 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-34335950
type
extraction
used array · 1 item
[0]
source:pmid:34335950
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:34335950
parent_hash
sha256:a0276460cc1ffc616a3a234dea9420ffec77d31a32a8d8134e28703e9f936cd2
fork_of
null
gaps array · 10 items
[0]
asset:data:geo:GSE15471 licence not read
[1]
asset:data:geo:GSE15471 not downloaded
[2]
asset:data:geo:GSE62165 licence not read
[3]
asset:data:geo:GSE62165 not downloaded
[4]
execution.not_run
[5]
method.student_t
[6]
review.human_critique
[7]
review.independent_reader
[8]
review.machine_critique
[9]
step:run_analysis blocked on method:student_t
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_id
clinical_trial
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
rding to an LDL cutoff of 4.14 mmol/L, 27 PC patients were assigned to the high-LDL group versus 201 patients in
order_basis
paper_text_order:6800
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
group_comparison
definition_version
f2132e96ae6c7a4e
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
"Normally distributed continuous variables were compared by using Student's t-test, and differences in categorical variables were analyzed using the chi-square or Fisher's exact test." "The Mann-Whitney U test was used for comparisons in nonnormally distributed variables." "A logistic regression analysis model was used to identify risk factors of PC." "Patient overall survival (OS) was obtained using the Kaplan-Meier method." "Demographic characteristics, laboratory results, serum lipids levels, surgical and pathological data were collected through electronic medical records and paper charts."
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34335950", "kind": "science-record", "revision": 9, "content_hash": "sha256:9901a7cdc23a692a68695a55a85ec6d3d8f34f48a90711358cf96a9a396b24c5", "created_at": "2026-11-01T15:41:46Z", "updated_at": "2026-11-01T22:47:14Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Dyslipidemia in Chinese Pancreatic Cancer Patients: A Two-Center Retrospective Study.", "doi": "10.7150/jca.60340", "pmid": "34335950", "authors": ["Feiyang Wang", "Li Huang", "Jinyan Zhang", "Junwei Fan", "Heshui Wu", "Junming Xu"], "journal": "Journal of Cancer", "year": 2021, "abstract": "Background: Pancreatic cancer (PC) is one of the most aggressive and lethal malignancies in the world. High cholesterol intake may have a certain association with an elevated risk of PC, though dyslipidemia in PC patients has rarely been reported. In this study, we compared serum lipids levels between PC and non-PC tumor patients and assessed their prognostic value in PC. Methods: 271 patients treated at Wuhan Union Hospital from January 2012 to December 2016 and 204 individuals at Shanghai General Hospital from January 2018 to December 2019 were recruited. Their demographic parameters, laboratory data, pathological information, and clinical outcomes were extracted and analyzed. The mRNA expressions of related lipoprotein, low density lipoprotein receptor (LDLR) and high density lipoprotein binding protein (HDLBP), in PC tissues and paired noncancerous tissues and follow-up information were assessed based on the GEO database (GSE15471 and GSE62165) and TCGA database. Results: A total of 172 non-PC tumor patients and 260 PC patients were finally eligible for our analysis. PC patients exhibited higher levels of serum triglyceride, cholesterol, and low-density lipoprotein (LDL) and a lower serum high-density lipoprotein (HDL) level on admission versus the non-PC tumor group. In PC patients, LDLR mRNA expression was upregulated, and HDLBP mRNA expression was downregulated in cancerous tissues compared to these levels in paired noncancerous tissues. The survival analysis revealed that dyslipidemia had a non-significant association with a poor prognosis, but PC patients with a high LDLR level were at risk of poor survival. Conclusion: Dyslipidemia is detected in PC patients but has a non-significant relation to PC prognosis. However, LDLR may be a potential predictive marker for PC prognosis.", "claims": [{"id": "claim-data-access", "statement": "The mRNA expression data of GSE15471 (39 matched pairs of samples) and GSE62165 (118 PC tissue samples and 13 paracancerous tissue samples) were acquired to identify differential target genes of related lipoprotein in PC.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34335950", "locator": "sections[4] \"Microarray data collection\" paragraph 2", "quote": "The mRNA expression data of GSE15471 (39 matched pairs of samples) and GSE62165 (118 PC tissue samples and 13 paracancerous tissue samples) were acquired to identify differential target genes of related lipoprotein in PC."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "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:34335950"], "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:GSE15471"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "blocked", "blocked_on": "method:student_t", "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:GSE15471"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:run_analysis blocked on method:student_t"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34335950", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.7150/jca.60340", 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"rows": [["Characteristics", "", "Pancreatic cancer", "", "non-PC tumor", "P-value"], ["Age, years", "Σ260", "60.48±10.77", "Σ172", "53.29±14.41", "<0.001"], ["Gender, male", "Σ260", "167 (64.2%)", "Σ172", "87 (50.6%)", "0.005"], ["Smoke", "Σ260", "62 (23.8%)", "Σ172", "34 (19.8%)", "0.319"], ["Alcohol", "Σ260", "51 (19.6%)", "Σ172", "18 (10.5%)", "0.011"], ["BMI index, kg/m2", "Σ260", "22.17±3.23", "Σ172", "22.32±3.03", "0.639"], ["Comorbidities", "", "", "", "", "0.545"], ["Circulatory system diseases", "Σ260", "69 (26.5%)", "Σ172", "41 (23.8%)", ""], ["Metablolic diseases", "Σ260", "53 (20.4%)", "Σ172", "24 (14.0%)", ""], ["Chornic inflammation", "Σ260", "18 (6.9%)", "Σ172", "17 (9.9%)", ""], ["Other malignant tumor", "Σ260", "8 (3.1%)", "Σ172", "4 (2.3%)", ""], ["Symptom", "", "", "", "", "<0.001"], ["Abdominal pain", "Σ260", "146 (56.2%)", "Σ172", "60 (34.9%)", ""], ["Jaundice", "Σ260", "95 (36.5%)", "Σ172", "8 (4.7%)", ""], ["Asymptomatic", "Σ260", "31 (11.9%)", "Σ172", "90 (52.3%)", ""], ["Others", "Σ260", "18 (6.9%)", "Σ172", "17 (9.9%)", ""], ["Laboratory data", "", "", "", "", ""], ["White cell count, ×109/L", "Σ255", "5.62±1.62", "Σ172", "5.86±1.93", "0.168"], ["Hemoglobin, g/L", "Σ255", "123.97±17.20", "Σ172", "129.39±17.58", "0.002"], ["Platelet count, ×109/L", "Σ255", "214.12±74.61", "Σ172", "208.09±75.13", "0.414"], ["Total bilirubin, μmol/L", "Σ255", "102.54±118.77", "Σ171", "22.38±49.9", "<0.001"], ["Alanine aminotransferase, U/L", "Σ254", "140.89±176.78", "Σ171", "42.90±85.03", "<0.001"], ["Albumin, g/L", "Σ255", "39.21±5.21", "Σ170", "41.05±5.24", "<0.001"], ["Creatinine, μmol/L", "Σ255", "62.38±15.50", "Σ171", "61.68±16.38", "0.657"], ["Serum glucose, mmol/L", "Σ250", "6.72±2.69", "Σ165", "5.61±1.90", "<0.001"], ["Prothrombin time, s", "Σ252", "12.38±1.54", "Σ170", "12.12±1.54", "0.085"], ["Activated partial thromboplastin time, s", "Σ251", "33.91±6.80", "Σ169", "32.36±6.41", "0.020"], ["CA199, U/ml", "Σ238", "450.23±493.76", "Σ163", "32.19±107.84", "<0.001"], ["Serum lipids level", "", "", "", "", ""], ["Triglyceride, mmol/L", "Σ242", "1.82±1.37", "Σ157", "1.41±1.01", "0.001"], ["Cholesterol, mmol/L", "Σ242", "4.93±2.35", "Σ158", "4.36±1.18", "0.005"], ["High density lipoprotein, mmol/L", "Σ231", "0.98±0.49", "Σ147", "1.17±0.39", "<0.001"], ["Low density lipoprotein, mmol/L", "Σ229", "2.97±1.67", "Σ146", "2.50±1.09", "0.003"], ["Lipoprotein a, mmol/L", "Σ82", "207.22±361.98", "Σ80", "264.99±444.73", "0.365"], ["Apolipoprotein A1, g/L", "Σ82", "1.11±0.38", "Σ81", "1.29±0.29", "0.001"], ["Apolipoprotein B, g/L", "Σ82", "0.88±0.35", "Σ81", "0.76±0.22", "0.007"], ["Apolipoprotein E, mg/L", "Σ82", "64.21±58.59", "Σ81", "35.62±23.89", "<0.001"]], "row_count": 37, "column_count": 6, "numeric_cells": 157, "header_rows": 1, "locator": "section[7]/table-wrap[1]#T1"}}, {"id": "asset:table:pmid:34335950:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:d50bf1f575c5c31bd6b436d1efeb0137125fc7817000ecd490a0e1a3ff438273", "bytes": 1280, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[8]/table-wrap[1]#T2", "version": null, "note": "Logistic regression analysis of risk factors for PC", "structure": {"pmcid": "PMC8317532", "section_index": 8, "section_title": "Logistic regression analysis of risk factors for PC", "row_count": 16, "column_count": 5}, "table": {"label": "Table 2", "caption": "Logistic regression analysis of risk factors for PC", "rows": [["", "Univariable analysis", "Multivariable analysis"], ["Odd ratio (95% CI)", "P value", "Odd ratio (95% CI)", "P value"], ["Sex, male", "0.57 (0.39, 0.84)", "0.005", "", ""], ["Age, ≥60 years", "1.89 (1.27, 2.82)", "0.002", "", ""], ["Alcohol", "2.09 (1.17, 3.72)", "0.012", "", ""], ["Hemoglobin, <120 g/L", "1.91 (1.23, 2.97)", "0.004", "", ""], ["Total bilirubin, >17.1 μmol/L", "8.30 (5.05, 13.64)", "<0.001", "2.88 (1.39, 5.97)", "0.004"], ["Alanine aminotransferase, >50 U/L", "6.58 (4.21, 10.29)", "<0.001", "3.46 (1.55, 7.69)", "0.002"], ["Albumin, <35 g/L", "1.27 (0.72, 2.24)", "0.417", "", ""], ["Serum glucose, >7.0 mmol/L", "2.45 (1.47, 4.08)", "0.001", "", ""], ["Activated partial thromboplastin time, >40 s", "1.21 (0.68, 2.14)", "0.521", "", ""], ["CA199, >25 U/ml", "18.78 (11.30, 31.22)", "<0.001", "10.87 (5.97, 19.80)", "<0.001"], ["Triglyceride, >1.7 mmol/L", "1.82 (1.18, 2.81)", "0.007", "", ""], ["Cholesterol, >5.18 mmol/L", "2.10 (1.28, 3.45)", "0.003", "", ""], ["High density lipoprotein, <1.16 mmol/L", "1.74 (1.13, 2.67)", "0.012", "", ""], ["Low density lipoprotein, >4.14 mmol/L", "3.10 (1.25, 7.69)", "0.015", "", ""]], "row_count": 16, "column_count": 5, "numeric_cells": 48, "header_rows": 2, "locator": "section[8]/table-wrap[1]#T2"}}, {"id": "asset:table:pmid:34335950:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:0ac533140f049f2821bbbbd4801d84573696f107654d3a6e94d8170e154952df", "bytes": 2681, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[9]/table-wrap[1]#T3", "version": null, "note": "Clinicopathological and follow-up information of PC patients in different lipid level", "structure": {"pmcid": "PMC8317532", "section_index": 9, "section_title": "Clinicopathological features and survival analysis between PC patients with different lipid levels", "row_count": 21, "column_count": 13}, "table": {"label": "Table 3", "caption": "Clinicopathological and follow-up information of PC patients in different lipid level", "rows": [["", "High CHOL", "Low CHOL", "P value", "High TG", "Low TG", "P value", "Low HDL", "High HDL", "P value", "High LDL", "Low LDL", "P value"], ["Tumor size, cm", "73", "164", "<0.001", "96", "141", "0.057", "158", "69", "0.869", "27", "201", "<0.001"], ["", "2.91±1.04", "3.63±1.48", "", "3.20±1.24", "3.55±1.47", "", "3.37±1.41", "3.40±1.38", "", "3.50±1.40", "2.55±1.00", ""], ["Operation type", "73", "169", "0.143", "97", "145", "0.102", "162", "69", "0.124", "27", "202", "0.218"], ["Radical resection", "71 (97.3%)", "156 (92.3%)", "", "94 (96.9%)", "133 (91.7%)", "", "152 (93.8%)", "68 (98.6%)", "", "27 (100.0%)", "191 (94.6%)", ""], ["Palliative resection", "2 (2.7%)", "13 (7.7%)", "", "3 (3.1%)", "12 (8.3%)", "", "10 (6.2%)", "1 (1.4%)", "", "0 (0.0%)", "11 (5.4%)", ""], ["AJCC stage", "73", "169", "0.055", "97", "145", "0.074", "162", "69", "0.246", "27", "202", "0.961"], ["Stage I, II", "56 (76.7%)", "113 (66.9%)", "", "74 (76.3%)", "95 (65.5%)", "", "118 (72.8%)", "45 (65.2%)", "", "20 (74.1%)", "141 (69.8%)", ""], ["Stage III, IV", "17 (23.3%)", "56 (33.1%)", "", "23 (23.7%)", "50 (34.5%)", "", "44 (27.2%)", "24 (34.8%)", "", "7 (25.9%)", "61 (30.2%)", ""], ["Differentiation degree", "67", "143", "0.601", "86", "128", "0.394", "146", "62", "0.186", "25", "178", "0.417"], ["Well", "13 (19.4%)", "27 (18.9%)", "", "15 (17.4%)", "25 (19.5%)", "", "27 (18.5%)", "12 (19.4%)", "", "7 (28.0%)", "31 (17.4%)", ""], ["Moderate", "36 (53.7%)", "71 (49.7%)", "", "41 (47.7%)", "66 (51.6%)", "", "68 (46.6%)", "36 (58.1%)", "", "11 (44.0%)", "93 (52.2%)", ""], ["Poor", "18 (26.9%)", "45 (31.5%)", "", "30 (34.9%)", "37 (28.9%)", "", "51 (34.9%)", "14 (22.6%)", "", "7 (28.0%)", "54 (30.3%)", ""], ["Nerve invasion", "67", "148", "0.574", "89", "126", "0.664", "142", "66", "0.977", "26", "180", "0.269"], ["", "37 (55.2%)", "80 (54.1%)", "", "50 (56.2%)", "67 (53.2%)", "", "75 (52.8%)", "35 (53.0%)", "", "13 (50.0%)", "96 (53.3%)", ""], ["Vascular invasion", "68", "148", "0.874", "90", "126", "0.977", "143", "66", "0.140", "26", "181", "0.753"], ["", "12 (17.6%)", "31 (20.9%)", "", "18 (20.0%)", "25 (19.8%)", "", "32 (22.4%)", "9 (13.6%)", "", "3 (11.5%)", "37 (20.4%)", ""], ["Follow-up, months", "73", "169", "0.083", "97", "145", "0.846", "162", "69", "0.065", 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