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pmid:33632198

Identification of key genes involved in tumor immune cell infiltration and cetuximab resistance in colorectal cancer.

Li Liang · Mengling Liu · Xun Sun · Yitao Yuan · Ke Peng · Khalid Rashid · Yiyi Yu · Yuehong Cui · Yanjie Chen · Tianshu Liu

Cancer cell international · 2021 doi:10.1186/s12935-021-01829-8

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Experiment

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Data

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Analysis

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title
Identification of key genes involved in tumor immune cell infiltration and cetuximab resistance in colorectal cancer.
doi
10.1186/s12935-021-01829-8
pmid
33632198
authors array · 10 items
[0]
Li Liang
[1]
Mengling Liu
[2]
Xun Sun
[3]
Yitao Yuan
[4]
Ke Peng
[5]
Khalid Rashid
[6]
Yiyi Yu
[7]
Yuehong Cui
[8]
Yanjie Chen
[9]
Tianshu Liu
journal
Cancer cell international
year
2021
abstract
BACKGROUND: The anti-epidermal growth factor receptor (EGFR) antibody introduces adaptable variations to the transcriptome and triggers tumor immune infiltration, resulting in colorectal cancer (CRC) treatment resistance. We intended to identify genes that play essential roles in cetuximab resistance and tumor immune cell infiltration. METHODS: A cetuximab-resistant CACO2 cellular model was established, and its transcriptome variations were detected by microarray. Meanwhile, public data from the Gene Expression Omnibus and The Cancer Genome Atlas (TCGA) database were downloaded. Integrated bioinformatics analysis was applied to detect differentially expressed genes (DEGs) between the cetuximab-resistant and the cetuximab-sensitive groups. Then, we investigated correlations between DEGs and immune cell infiltration. The DEGs from bioinformatics analysis were further validated in vitro and in clinical samples. RESULTS: We identified 732 upregulated and 1259 downregulated DEGs in the induced cellular model. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses, along with Gene Set Enrichment Analysis and Gene Set Variation Analysis, indicated the functions of the DEGs. Together with GSE59857 and GSE5841, 12 common DEGs (SATB-2, AKR1B10, ADH1A, ADH1C, MYB, ATP10B, CDX-2, FAR2, EPHB2, SLC26A3, ORP-1, VAV3) were identified and their predictive values of cetuximab treatment were validated in GSE56386. In online Genomics of Drug Sensitivity in Cancer (GDSC) database, nine of twelve DEGs were recognized in the protein-protein (PPI) network. Based on the transcriptome profiles of CRC samples in TCGA and using Tumor Immune Estimation Resource Version 2.0, we bioinformatically determined that SATB-2, ORP-1, MYB, and CDX-2 expressions were associated with intensive infiltration of B cell, CD4+ T cell, CD8+ T cell and macrophage, which was then validated the correlation in clinical samples by immunohistochemistry. We found that SATB-2, ORP-1, MYB, and CDX-2 were downregulated in vitro with cetuximab treatment. Clinically, patients with advanced CRC and high ORP-1 expression exhibited a longer progression-free survival time when they were treated with anti-EGFR therapy than those with low ORP-1 expression. CONCLUSIONS: SATB-2, ORP-1, MYB, and CDX-2 were related to cetuximab sensitivity as well as enhanced tumor immune cell infiltration in patients with CRC.
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Kaplan - Meier survival curve and Log - rank test analysis was applied to investigated the predictive valued of identified DEGs for patients with CRC and receiving cetuximab contained therapy.
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Kaplan - Meier survival curve and Log - rank test analysis was applied to investigated the predictive valued of identified DEGs for patients with CRC and receiving cetuximab contained therapy.
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Public datasets of colon adenocarcinoma and rectum adenocarcinoma analyzed during the current study can be retrieved from The Cancer Genome Atlas (TCGA) at https://portal.gdc.cancer.gov/. GSE5851, GSE56368, and GSE59857 datasets can be retrieved from the Gene Expression Omnibus (GEO) at https://www.ncbi.nlm.nih.gov/geo/. Other data that support the findings of this study are available from the corresponding author on reasonable request.
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Public datasets of colon adenocarcinoma and rectum adenocarcinoma analyzed during the current study can be retrieved from The Cancer Genome Atlas (TCGA) at https://portal.gdc.cancer.gov/. GSE5851, GSE56368, and GSE59857 datasets can be retrieved from the Gene Expression Omnibus (GEO) at https://www.ncbi.nlm.nih.gov/geo/. Other data that support the findings of this study are available from the corresponding author on reasonable request.
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Understanding molecular mechanisms of Cetuximab insensitivity in Colorectal Cancer (CRC)
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Phase II exploratory pharmacogenomics study of cetuximab monotherapy in patients with advanced metastatic CRC
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The expression of the top 20 upregulated and downregulated genes in the cetuximab resistant CACO2
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The expression of the top 20 upregulated and downregulated genes in the cetuximab resistant CACO2
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1.33E–07
[9]
1.26E–04
[11] array · 10 items
[0]
LAMA1
[1]
6.237
[2]
6.392
[3]
6.334
[4]
9.733
[5]
9.873
[6]
9.949
[7]
3.531
[8]
1.42E–07
[9]
1.26E–04
[12] array · 10 items
[0]
THPO
[1]
1.271
[2]
1.275
[3]
1.418
[4]
4.485
[5]
4.429
[6]
4.562
[7]
3.171
[8]
1.75E–07
[9]
1.26E–04
[13] array · 10 items
[0]
ACTA1
[1]
4.330
[2]
3.837
[3]
4.273
[4]
9.829
[5]
9.596
[6]
9.503
[7]
5.496
[8]
1.80E–07
[9]
1.26E–04
[14] array · 10 items
[0]
SERPINF2
[1]
11.096
[2]
11.257
[3]
10.992
[4]
14.287
[5]
14.346
[6]
14.294
[7]
3.194
[8]
2.59E–07
[9]
1.35E–04
[15] array · 10 items
[0]
ANXA8
[1]
9.699
[2]
9.805
[3]
9.662
[4]
12.950
[5]
13.168
[6]
12.871
[7]
3.274
[8]
3.77E–07
[9]
1.73E–04
[16] array · 10 items
[0]
DPYSL3
[1]
7.688
[2]
7.165
[3]
7.810
[4]
12.588
[5]
12.744
[6]
12.676
[7]
5.115
[8]
4.15E–07
[9]
1.82E–04
[17] array · 10 items
[0]
PDGFRA
[1]
1.312
[2]
1.304
[3]
1.231
[4]
5.091
[5]
5.216
[6]
4.782
[7]
3.748
[8]
4.25E–07
[9]
1.82E–04
[18] array · 10 items
[0]
SDC2
[1]
4.645
[2]
4.510
[3]
4.744
[4]
7.533
[5]
7.547
[6]
7.725
[7]
2.968
[8]
5.37E–07
[9]
2.10E–04
[19] array · 10 items
[0]
ORM1
[1]
12.007
[2]
12.089
[3]
11.909
[4]
14.634
[5]
14.613
[6]
14.758
[7]
2.667
[8]
5.43E–07
[9]
2.10E–04
[20] array · 10 items
[0]
ORM2
[1]
12.062
[2]
12.209
[3]
12.006
[4]
14.728
[5]
14.646
[6]
14.739
[7]
2.612
[8]
5.85E–07
[9]
2.10E–04
[21] array · 10 items
[0]
ADM
[1]
10.696
[2]
10.620
[3]
10.518
[4]
13.201
[5]
13.321
[6]
13.175
[7]
2.621
[8]
5.92E–07
[9]
2.10E–04
[22] array · 10 items
[0]
ADAM19
[1]
9.666
[2]
9.526
[3]
9.323
[4]
12.874
[5]
12.710
[6]
12.676
[7]
3.248
[8]
6.38E–07
[9]
2.22E–04
[23] array · 10 items
[0]
CCDC3
[1]
9.139
[2]
9.112
[3]
8.781
[4]
12.448
[5]
12.206
[6]
12.351
[7]
3.324
[8]
9.05E–07
[9]
2.59E–04
[24] array · 1 item
[0]
Top 20 of down-regulated genes
[25] array · 10 items
[0]
GC
[1]
6.719
[2]
6.693
[3]
6.902
[4]
1.271
[5]
1.278
[6]
1.263
[7]
–5.500
[8]
8.90E–09
[9]
6.23E–05
[26] array · 10 items
[0]
SCIN
[1]
6.839
[2]
6.926
[3]
7.093
[4]
1.350
[5]
1.309
[6]
1.335
[7]
–5.621
[8]
9.94E–09
[9]
6.23E–05
[27] array · 10 items
[0]
ST6GALNAC1
[1]
7.759
[2]
7.546
[3]
7.389
[4]
1.269
[5]
1.309
[6]
1.356
[7]
–6.253
[8]
1.39E–08
[9]
6.51E–05
[28] array · 10 items
[0]
PADI2
[1]
8.533
[2]
8.655
[3]
8.104
[4]
1.339
[5]
1.256
[6]
1.373
[7]
–7.108
[8]
3.18E–08
[9]
9.95E–05
[29] array · 10 items
[0]
MUC13
[1]
14.179
[2]
13.905
[3]
14.478
[4]
7.486
[5]
7.521
[6]
7.534
[7]
–6.674
[8]
4.05E–08
[9]
1.09E–04
[30] array · 10 items
[0]
SULF2
[1]
9.285
[2]
8.985
[3]
9.273
[4]
3.737
[5]
3.522
[6]
3.850
[7]
–5.478
[8]
5.92E–08
[9]
1.11E–04
[31] array · 10 items
[0]
COL17A1
[1]
8.492
[2]
8.749
[3]
8.525
[4]
2.545
[5]
2.030
[6]
2.235
[7]
–6.319
[8]
6.07E–08
[9]
1.11E–04
[32] array · 10 items
[0]
FAM83E
[1]
10.754
[2]
10.695
[3]
10.635
[4]
6.944
[5]
7.056
[6]
6.897
[7]
–3.729
[8]
6.48E–08
[9]
1.11E–04
[33] array · 10 items
[0]
HLA-DMB
[1]
5.666
[2]
5.548
[3]
5.337
[4]
1.177
[5]
1.237
[6]
1.244
[7]
–4.298
[8]
8.23E–08
[9]
1.14E–04
[34] array · 10 items
[0]
NPAS2
[1]
5.506
[2]
5.310
[3]
5.640
[4]
1.250
[5]
1.186
[6]
1.173
[7]
–4.282
[8]
8.47E–08
[9]
1.14E–04
[35] array · 10 items
[0]
PNLIPRP2
[1]
9.009
[2]
8.923
[3]
8.898
[4]
4.505
[5]
4.836
[6]
4.560
[7]
–4.310
[8]
1.04E–07
[9]
1.22E–04
[36] array · 10 items
[0]
LCN2
[1]
11.287
[2]
11.659
[3]
11.027
[4]
4.564
[5]
4.442
[6]
4.834
[7]
–6.711
[8]
1.24E–07
[9]
1.26E–04
[37] array · 10 items
[0]
SRPX
[1]
9.803
[2]
9.612
[3]
9.507
[4]
5.937
[5]
5.942
[6]
5.842
[7]
–3.734
[8]
1.53E–07
[9]
1.26E–04
[38] array · 10 items
[0]
HOXB9
[1]
10.762
[2]
10.582
[3]
10.682
[4]
7.503
[5]
7.485
[6]
7.573
[7]
–3.155
[8]
1.66E–07
[9]
1.26E–04
[39] array · 10 items
[0]
BTNL3
[1]
5.120
[2]
5.170
[3]
5.485
[4]
1.188
[5]
1.231
[6]
1.215
[7]
–4.047
[8]
1.77E–07
[9]
1.26E–04
[40] array · 10 items
[0]
TMC5
[1]
7.201
[2]
6.746
[3]
7.401
[4]
1.274
[5]
1.203
[6]
1.339
[7]
–5.844
[8]
1.77E–07
[9]
1.26E–04
[41] array · 10 items
[0]
APOBEC1
[1]
6.060
[2]
5.632
[3]
6.092
[4]
1.210
[5]
1.170
[6]
1.156
[7]
–4.749
[8]
1.78E–07
[9]
1.26E–04
[42] array · 10 items
[0]
S100A9
[1]
10.469
[2]
10.404
[3]
9.896
[4]
3.540
[5]
3.948
[6]
3.972
[7]
–6.436
[8]
2.00E–07
[9]
1.31E–04
[43] array · 10 items
[0]
DDIT4L
[1]
6.599
[2]
6.789
[3]
7.249
[4]
1.229
[5]
1.281
[6]
1.306
[7]
–5.607
[8]
2.07E–07
[9]
1.31E–04
[44] array · 10 items
[0]
PI3
[1]
13.824
[2]
13.941
[3]
13.611
[4]
9.571
[5]
9.226
[6]
9.378
[7]
–4.400
[8]
2.12E–07
[9]
1.31E–04
locator
section[15]/table-wrap[1]#Tab1
[5] object · 16 fields
id
asset:table:pmid:33632198:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:d78d18b8e9b362d25640960ca3b9ac3c37dbe3ef300da5cee98bcd9e987473e7
bytes
6363
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[15]/table-wrap[2]#Tab2
version
null
note
GO term and KEGG pathway enrichment analyses of differentially expressed genes
structure object · 5 fields
pmcid
PMC7905896
section_index
15
section_title
Model establishment and screening of DEGs
row_count
85
column_count
6
table object · 8 fields
label
Table 2
caption
GO term and KEGG pathway enrichment analyses of differentially expressed genes
rows array · 85 items
[0] array · 6 items
[0]
Term
[1]
Description
[2]
Count
[3]
%
[4]
Log10 [p value]
[5]
Log10 [q value]
[1] array · 1 item
[0]
GO Biological process
[2] array · 6 items
[0]
GO:0006935
[1]
Chemotaxis
[2]
117
[3]
5.89
[4]
−15.44
[5]
−11.44
[3] array · 6 items
[0]
GO:0010817
[1]
Regulation of hormone levels
[2]
102
[3]
5.13
[4]
−15.05
[5]
−11.33
[4] array · 6 items
[0]
GO:1,901,615
[1]
Organic hydroxy compound metabolic process
[2]
100
[3]
5.03
[4]
−13.61
[5]
−10.01
[5] array · 6 items
[0]
GO:0043062
[1]
Extracellular structure organization
[2]
82
[3]
4.13
[4]
−12.37
[5]
−8.87
[6] array · 6 items
[0]
GO:0015711
[1]
Organic anion transport
[2]
85
[3]
4.28
[4]
−10.60
[5]
−7.25
[7] array · 6 items
[0]
GO:0072006
[1]
Nephron development
[2]
37
[3]
1.86
[4]
−9.56
[5]
−6.40
[8] array · 6 items
[0]
GO:0048514
[1]
Blood vessel morphogenesis
[2]
105
[3]
5.28
[4]
−9.29
[5]
−6.20
[9] array · 6 items
[0]
GO:0009611
[1]
Response to wounding
[2]
105
[3]
5.28
[4]
−9.25
[5]
−6.20
[10] array · 6 items
[0]
GO:0051047
[1]
Positive regulation of secretion
[2]
75
[3]
3.77
[4]
−9.14
[5]
−6.11
[11] array · 6 items
[0]
GO:0006869
[1]
Lipid transport
[2]
66
[3]
3.32
[4]
−9.03
[5]
−6.06
[12] array · 6 items
[0]
GO:0008285
[1]
Negative regulation of cell proliferation
[2]
113
[3]
5.69
[4]
−8.91
[5]
−6.01
[13] array · 6 items
[0]
GO:0052548
[1]
Regulation of endopeptidase activity
[2]
73
[3]
3.67
[4]
−8.70
[5]
−5.86
[14] array · 6 items
[0]
GO:0032787
[1]
Monocarboxylic acid metabolic process
[2]
97
[3]
4.88
[4]
−8.15
[5]
−5.36
[15] array · 6 items
[0]
GO:0008610
[1]
Lipid biosynthetic process
[2]
103
[3]
5.18
[4]
−7.83
[5]
−5.11
[16] array · 6 items
[0]
GO:0003013
[1]
Circulatory system process
[2]
83
[3]
4.18
[4]
−7.17
[5]
−4.54
[17] array · 6 items
[0]
GO:0048598
[1]
Embryonic morphogenesis
[2]
87
[3]
4.38
[4]
−6.84
[5]
−4.26
[18] array · 6 items
[0]
GO:0030155
[1]
Regulation of cell adhesion
[2]
99
[3]
4.98
[4]
−6.68
[5]
−4.14
[19] array · 6 items
[0]
GO:0046683
[1]
Response to organophosphorus
[2]
31
[3]
1.56
[4]
−6.68
[5]
−4.14
[20] array · 6 items
[0]
GO:0035272
[1]
Exocrine system development
[2]
17
[3]
0.86
[4]
−6.62
[5]
−4.11
[21] array · 6 items
[0]
GO:0015718
[1]
Monocarboxylic acid transport
[2]
35
[3]
1.76
[4]
−6.53
[5]
−4.04
[22] array · 1 item
[0]
GO molecular function
[23] array · 6 items
[0]
GO:0008289
[1]
Lipid binding
[2]
104
[3]
5.23
[4]
−6.90
[5]
−3.45
[24] array · 6 items
[0]
GO:0004857
[1]
Enzyme inhibitor activity
[2]
62
[3]
3.12
[4]
−6.81
[5]
−3.45
[25] array · 6 items
[0]
GO:0005509
[1]
Calcium ion binding
[2]
97
[3]
4.88
[4]
−6.45
[5]
−3.37
[26] array · 6 items
[0]
GO:0008201
[1]
Heparin binding
[2]
34
[3]
1.71
[4]
−6.05
[5]
−3.17
[27] array · 6 items
[0]
GO:0008514
[1]
Organic anion transmembrane transporter activity
[2]
39
[3]
1.96
[4]
−5.75
[5]
−3.06
[28] array · 6 items
[0]
GO:0048018
[1]
Receptor ligand activity
[2]
70
[3]
3.52
[4]
−5.72
[5]
−3.06
[29] array · 6 items
[0]
GO:0000987
[1]
Proximal promoter sequence-specific DNA binding
[2]
84
[3]
4.23
[4]
−5.16
[5]
−2.65
[30] array · 6 items
[0]
GO:0016491
[1]
Oxidoreductase activity
[2]
95
[3]
4.78
[4]
−4.82
[5]
−2.41
[31] array · 6 items
[0]
GO:0005201
[1]
Extracellular matrix structural constituent
[2]
30
[3]
1.51
[4]
−4.52
[5]
−2.18
[32] array · 6 items
[0]
GO:0016298
[1]
Lipase activity
[2]
25
[3]
1.26
[4]
−4.46
[5]
−2.16
[33] array · 6 items
[0]
GO:0033293
[1]
Monocarboxylic acid binding
[2]
18
[3]
0.91
[4]
−4.39
[5]
−2.14
[34] array · 6 items
[0]
GO:0043178
[1]
Alcohol binding
[2]
19
[3]
0.96
[4]
−4.39
[5]
−2.14
[35] array · 6 items
[0]
GO:0015144
[1]
Carbohydrate transmembrane transporter activity
[2]
12
[3]
0.60
[4]
−4.35
[5]
−2.12
[36] array · 6 items
[0]
GO:0033764
[1]
Steroid dehydrogenase activity
[2]
10
[3]
0.50
[4]
−4.05
[5]
−1.90
[37] array · 6 items
[0]
GO:0030515
[1]
snoRNA binding
[2]
10
[3]
0.50
[4]
−4.05
[5]
−1.90
[38] array · 6 items
[0]
GO:0042803
[1]
Protein homodimerization activity
[2]
81
[3]
4.08
[4]
−4.04
[5]
−1.90
[39] array · 6 items
[0]
GO:0008233
[1]
Peptidase activity
[2]
78
[3]
3.93
[4]
−3.82
[5]
−1.73
[40] array · 6 items
[0]
GO:0004745
[1]
Retinol dehydrogenase activity
[2]
8
[3]
0.40
[4]
−3.80
[5]
−1.73
[41] array · 6 items
[0]
GO:0019955
[1]
Cytokine binding
[2]
24
[3]
1.21
[4]
−3.69
[5]
−1.63
[42] array · 6 items
[0]
GO:0015250
[1]
Water channel activity
[2]
6
[3]
0.30
[4]
−3.50
[5]
−1.46
[43] array · 1 item
[0]
GO cellular component
[44] array · 6 items
[0]
GO:0031012
[1]
Extracellular matrix
[2]
98
[3]
4.93
[4]
−13.46
[5]
−10.17
[45] array · 6 items
[0]
GO:0016324
[1]
Apical plasma membrane
[2]
68
[3]
3.42
[4]
−11.60
[5]
−8.79
[46] array · 6 items
[0]
GO:0044420
[1]
Extracellular matrix component
[2]
17
[3]
0.86
[4]
−6.08
[5]
−3.57
[47] array · 6 items
[0]
GO:0016323
[1]
Basolateral plasma membrane
[2]
41
[3]
2.06
[4]
−5.91
[5]
−3.52
[48] array · 6 items
[0]
GO:0031253
[1]
Cell projection membrane
[2]
56
[3]
2.82
[4]
−5.90
[5]
−3.52
[49] array · 6 items
[0]
GO:0005604
[1]
Basement membrane
[2]
23
[3]
1.16
[4]
−5.55
[5]
−3.21
[50] array · 6 items
[0]
GO:0031526
[1]
Brush border membrane
[2]
16
[3]
0.81
[4]
−5.25
[5]
−2.97
[51] array · 6 items
[0]
GO:0031091
[1]
Platelet alpha granule
[2]
21
[3]
1.06
[4]
−4.93
[5]
−2.72
[52] array · 6 items
[0]
GO:0030684
[1]
Pre-ribosome
[2]
19
[3]
0.96
[4]
−4.87
[5]
−2.70
[53] array · 6 items
[0]
GO:0005667
[1]
Transcription factor complex
[2]
53
[3]
2.67
[4]
−4.60
[5]
−2.46
[54] array · 6 items
[0]
GO:0070161
[1]
Anchoring junction
[2]
71
[3]
3.57
[4]
−3.64
[5]
−1.68
[55] array · 6 items
[0]
GO:0044452
[1]
Nucleolar part
[2]
29
[3]
1.46
[4]
−3.61
[5]
−1.67
[56] array · 6 items
[0]
GO:0005911
[1]
Cell-cell junction
[2]
53
[3]
2.67
[4]
−3.49
[5]
−1.60
[57] array · 6 items
[0]
GO:0005773
[1]
Vacuole
[2]
93
[3]
4.68
[4]
−3.40
[5]
−1.56
[58] array · 6 items
[0]
GO:0005777
[1]
Peroxisome
[2]
24
[3]
1.21
[4]
−3.40
[5]
−1.56
[59] array · 6 items
[0]
GO:0034358
[1]
Plasma lipoprotein particle
[2]
10
[3]
0.50
[4]
−3.32
[5]
−1.52
[60] array · 6 items
[0]
GO:0000940
[1]
Condensed chromosome outer kinetochore
[2]
6
[3]
0.30
[4]
−3.29
[5]
−1.52
[61] array · 6 items
[0]
GO:0071438
[1]
Invadopodium membrane
[2]
4
[3]
0.20
[4]
−3.22
[5]
−1.48
[62] array · 6 items
[0]
GO:0048471
[1]
Perinuclear region of cytoplasm
[2]
85
[3]
4.28
[4]
−3.20
[5]
−1.47
[63] array · 6 items
[0]
GO:0005593
[1]
FACIT collagen trimer
[2]
4
[3]
0.20
[4]
−2.88
[5]
−1.25
[64] array · 1 item
[0]
KEGG pathway
[65] array · 6 items
[0]
hsa04974
[1]
Protein digestion and absorption
[2]
23
[3]
1.16
[4]
−6.16
[5]
−3.46
[66] array · 6 items
[0]
hsa04060
[1]
Cytokine-cytokine receptor interaction
[2]
45
[3]
2.26
[4]
−5.38
[5]
−2.98
[67] array · 6 items
[0]
hsa00830
[1]
Retinol metabolism
[2]
17
[3]
0.86
[4]
−4.86
[5]
−2.64
[68] array · 6 items
[0]
hsa04510
[1]
Focal adhesion
[2]
34
[3]
1.71
[4]
−4.45
[5]
−2.36
[69] array · 6 items
[0]
hsa04918
[1]
Thyroid hormone synthesis
[2]
17
[3]
0.86
[4]
−4.08
[5]
−2.08
[70] array · 6 items
[0]
hsa04610
[1]
Complement and coagulation cascades
[2]
17
[3]
0.86
[4]
−3.71
[5]
−1.85
[71] array · 6 items
[0]
hsa04310
[1]
Wnt signaling pathway
[2]
24
[3]
1.21
[4]
−3.21
[5]
−1.49
[72] array · 6 items
[0]
hsa03320
[1]
PPAR signaling pathway
[2]
15
[3]
0.75
[4]
−3.18
[5]
−1.49
[73] array · 6 items
[0]
hsa05323
[1]
Rheumatoid arthritis
[2]
17
[3]
0.86
[4]
−3.02
[5]
−1.36
[74] array · 6 items
[0]
hsa05146
[1]
Amoebiasis
[2]
17
[3]
0.86
[4]
−2.70
[5]
−1.27
[75] array · 6 items
[0]
hsa04540
[1]
Gap junction
[2]
16
[3]
0.81
[4]
−2.69
[5]
−1.27
[76] array · 6 items
[0]
hsa00471
[1]
D-Glutamine and D-glutamate metabolism
[2]
3
[3]
0.15
[4]
−2.68
[5]
−1.27
[77] array · 6 items
[0]
hsa04978
[1]
Mineral absorption
[2]
11
[3]
0.55
[4]
−2.60
[5]
−1.21
[78] array · 6 items
[0]
hsa04146
[1]
Peroxisome
[2]
15
[3]
0.75
[4]
−2.53
[5]
−1.16
[79] array · 6 items
[0]
hsa04621
[1]
NOD-like receptor signaling pathway
[2]
25
[3]
1.26
[4]
−2.49
[5]
−1.14
[80] array · 6 items
[0]
hsa04390
[1]
Hippo signaling pathway
[2]
23
[3]
1.16
[4]
−2.42
[5]
−1.13
[81] array · 6 items
[0]
hsa00590
[1]
Arachidonic acid metabolism
[2]
12
[3]
0.60
[4]
−2.38
[5]
−1.13
[82] array · 6 items
[0]
hsa00564
[1]
Glycerophospholipid metabolism
[2]
16
[3]
0.81
[4]
−2.35
[5]
−1.12
[83] array · 6 items
[0]
hsa04976
[1]
Bile secretion
[2]
13
[3]
0.65
[4]
−2.32
[5]
−1.10
[84] array · 6 items
[0]
hsa05412
[1]
Arrhythmogenic right ventricular cardiomyopathy
[2]
13
[3]
0.65
[4]
−2.26
[5]
−1.06
locator
section[15]/table-wrap[2]#Tab2
[6] object · 16 fields
id
asset:table:pmid:33632198:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:3297a1ec256c668469513d721300990d955757ed6ad8d4b9015ebca8cb4f0805
bytes
2882
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[16]/table-wrap[1]#Tab3
version
null
note
Gene set enrichment analysis of upregulated and downregulated gene sets in the cetuximab resistant group
structure object · 5 fields
pmcid
PMC7905896
section_index
16
section_title
Gene set enrichment
row_count
37
column_count
7
table object · 8 fields
label
Table 3
caption
Gene set enrichment analysis of upregulated and downregulated gene sets in the cetuximab resistant group
rows array · 37 items
[0] array · 7 items
[0]
Name
[1]
Size
[2]
Es
[3]
Nes
[4]
Non p value
[5]
FDR q value
[6]
FWER p value
[1] array · 5 items
[0]
Up-regulation in Resistant Group
[1]
[2]
[3]
[4]
[2] array · 7 items
[0]
HALLMARK_PEROXISOME
[1]
19
[2]
−0.36
[3]
−1.32
[4]
0.00
[5]
0.49
[6]
0.39
[3] array · 7 items
[0]
HALLMARK_UV_RESPONSE_UP
[1]
24
[2]
−0.17
[3]
−1.00
[4]
0.38
[5]
1.00
[6]
1.00
[4] array · 7 items
[0]
HALLMARK_MYOGENESIS
[1]
38
[2]
−0.48
[3]
−0.93
[4]
0.79
[5]
1.00
[6]
1.00
[5] array · 7 items
[0]
HALLMARK_KRAS_SIGNALING_DN
[1]
27
[2]
−0.24
[3]
−0.92
[4]
0.54
[5]
1.00
[6]
1.00
[6] array · 7 items
[0]
HALLMARK_ADIPOGENESIS
[1]
24
[2]
−0.17
[3]
−0.80
[4]
0.51
[5]
1.00
[6]
1.00
[7] array · 7 items
[0]
HALLMARK_INTERFERON_GAMMA_RESPONSE
[1]
31
[2]
−0.21
[3]
−0.77
[4]
0.91
[5]
1.00
[6]
1.00
[8] array · 7 items
[0]
HALLMARK_INTERFERON_ALPHA_RESPONSE
[1]
24
[2]
−0.28
[3]
−0.76
[4]
0.91
[5]
0.98
[6]
1.00
[9] array · 7 items
[0]
HALLMARK_P53_PATHWAY
[1]
24
[2]
−0.14
[3]
−0.68
[4]
0.91
[5]
0.92
[6]
1.00
[10] array · 5 items
[0]
Down-regulation in Resistant Group
[1]
[2]
[3]
[4]
[11] array · 7 items
[0]
HALLMARK_COMPLEMENT
[1]
30
[2]
0.34
[3]
1.59
[4]
0.00
[5]
0.27
[6]
0.09
[12] array · 7 items
[0]
HALLMARK_BILE_ACID_METABOLISM
[1]
21
[2]
0.38
[3]
1.57
[4]
0.00
[5]
0.19
[6]
0.19
[13] array · 7 items
[0]
HALLMARK_IL2_STAT5_SIGNALING
[1]
31
[2]
0.38
[3]
1.50
[4]
0.00
[5]
0.16
[6]
0.25
[14] array · 7 items
[0]
HALLMARK_UV_RESPONSE_DN
[1]
24
[2]
0.42
[3]
1.47
[4]
0.00
[5]
0.13
[6]
0.25
[15] array · 7 items
[0]
HALLMARK_ESTROGEN_RESPONSE_EARLY
[1]
39
[2]
0.30
[3]
1.43
[4]
0.00
[5]
0.12
[6]
0.25
[16] array · 7 items
[0]
HALLMARK_HYPOXIA
[1]
38
[2]
0.30
[3]
1.41
[4]
0.09
[5]
0.10
[6]
0.25
[17] array · 7 items
[0]
HALLMARK_APOPTOSIS
[1]
30
[2]
0.28
[3]
1.35
[4]
0.00
[5]
0.19
[6]
0.43
[18] array · 7 items
[0]
HALLMARK_INFLAMMATORY_RESPONSE
[1]
29
[2]
0.44
[3]
1.29
[4]
0.00
[5]
0.25
[6]
0.56
[19] array · 7 items
[0]
HALLMARK_GLYCOLYSIS
[1]
16
[2]
0.39
[3]
1.22
[4]
0.32
[5]
0.34
[6]
0.56
[20] array · 7 items
[0]
HALLMARK_ESTROGEN_RESPONSE_LATE
[1]
34
[2]
0.40
[3]
1.21
[4]
0.00
[5]
0.31
[6]
0.56
[21] array · 7 items
[0]
HALLMARK_XENOBIOTIC_METABOLISM
[1]
30
[2]
0.25
[3]
1.20
[4]
0.09
[5]
0.31
[6]
0.62
[22] array · 7 items
[0]
HALLMARK_KRAS_SIGNALING_UP
[1]
41
[2]
0.48
[3]
1.13
[4]
0.32
[5]
0.48
[6]
0.67
[23] array · 7 items
[0]
HALLMARK_TNFA_SIGNALING_VIA_NFKB
[1]
30
[2]
0.32
[3]
1.13
[4]
0.34
[5]
0.45
[6]
0.67
[24] array · 7 items
[0]
HALLMARK_HEME_METABOLISM
[1]
21
[2]
0.29
[3]
1.08
[4]
0.29
[5]
0.59
[6]
0.95
[25] array · 7 items
[0]
HALLMARK_APICAL_JUNCTION
[1]
26
[2]
0.28
[3]
0.99
[4]
0.44
[5]
0.88
[6]
1.00
[26] array · 7 items
[0]
HALLMARK_COAGULATION
[1]
30
[2]
0.26
[3]
0.99
[4]
0.45
[5]
0.85
[6]
1.00
[27] array · 7 items
[0]
HALLMARK_G2M_CHECKPOINT
[1]
19
[2]
0.40
[3]
0.98
[4]
0.54
[5]
0.82
[6]
1.00
[28] array · 7 items
[0]
HALLMARK_E2F_TARGETS
[1]
21
[2]
0.37
[3]
0.97
[4]
0.69
[5]
0.79
[6]
1.00
[29] array · 7 items
[0]
HALLMARK_MITOTIC_SPINDLE
[1]
15
[2]
0.29
[3]
0.95
[4]
0.66
[5]
0.80
[6]
1.00
[30] array · 7 items
[0]
HALLMARK_MYC_TARGETS_V1
[1]
21
[2]
0.37
[3]
0.93
[4]
0.79
[5]
0.80
[6]
1.00
[31] array · 7 items
[0]
HALLMARK_OXIDATIVE_PHOSPHORYLATION
[1]
17
[2]
0.32
[3]
0.91
[4]
0.82
[5]
0.83
[6]
1.00
[32] array · 7 items
[0]
HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION
[1]
44
[2]
0.29
[3]
0.91
[4]
0.59
[5]
0.80
[6]
1.00
[33] array · 7 items
[0]
HALLMARK_IL6_JAK_STAT3_SIGNALING
[1]
16
[2]
0.27
[3]
0.87
[4]
0.53
[5]
0.84
[6]
1.00
[34] array · 7 items
[0]
HALLMARK_ALLOGRAFT_REJECTION
[1]
22
[2]
0.23
[3]
0.81
[4]
0.75
[5]
0.89
[6]
1.00
[35] array · 7 items
[0]
HALLMARK_MTORC1_SIGNALING
[1]
19
[2]
0.19
[3]
0.67
[4]
0.91
[5]
0.96
[6]
1.00
[36] array · 7 items
[0]
HALLMARK_FATTY_ACID_METABOLISM
[1]
31
[2]
0.14
[3]
0.61
[4]
0.91
[5]
0.95
[6]
1.00
locator
section[16]/table-wrap[1]#Tab3
[7] object · 16 fields
id
asset:table:pmid:33632198:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:32ddfca02fd8d5ea9aaa446c15549362f7850319cf3d7ab28d5f6e65e266d02e
bytes
1725
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[16]/table-wrap[2]#Tab4
version
null
note
Gene set variation analysis of upregulated and downregulated gene sets in the cetuximab resistant group
structure object · 5 fields
pmcid
PMC7905896
section_index
16
section_title
Gene set enrichment
row_count
22
column_count
4
table object · 8 fields
label
Table 4
caption
Gene set variation analysis of upregulated and downregulated gene sets in the cetuximab resistant group
rows array · 22 items
[0] array · 4 items
[0]
HALLMARK GENE SETS
[1]
Log [FC]
[2]
p value
[3]
Adjustive p value
[1] array · 4 items
[0]
HALLMARK_MYOGENESIS
[1]
1.058
[2]
2.34E−05
[3]
3.89E−04
[2] array · 4 items
[0]
HALLMARK_INTERFERON_ALPHA_RESPONSE
[1]
1.115
[2]
3.21E−05
[3]
3.89E−04
[3] array · 4 items
[0]
HALLMARK_MYC_TARGETS_V1
[1]
−1.096
[2]
3.89E−05
[3]
3.89E−04
[4] array · 4 items
[0]
HALLMARK_MYC_TARGETS_V2
[1]
−1.134
[2]
2.88E−05
[3]
3.89E−04
[5] array · 4 items
[0]
HALLMARK_ANGIOGENESIS
[1]
1.229
[2]
1.43E−05
[3]
3.89E−04
[6] array · 4 items
[0]
HALLMARK_TGF_BETA_SIGNALING
[1]
1.078
[2]
9.87E−05
[3]
6.17E−04
[7] array · 4 items
[0]
HALLMARK_INTERFERON_GAMMA_RESPONSE
[1]
0.909
[2]
9.74E−05
[3]
6.17E−04
[8] array · 4 items
[0]
HALLMARK_UNFOLDED_PROTEIN_RESPONSE
[1]
−0.978
[2]
7.86E−05
[3]
6.17E−04
[9] array · 4 items
[0]
HALLMARK_E2F_TARGETS
[1]
−0.915
[2]
2.91E−04
[3]
1.45E−03
[10] array · 4 items
[0]
HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION
[1]
0.741
[2]
2.72E−04
[3]
1.45E−03
[11] array · 4 items
[0]
HALLMARK_APICAL_JUNCTION
[1]
0.820
[2]
3.21E−04
[3]
1.46E−03
[12] array · 4 items
[0]
HALLMARK_G2M_CHECKPOINT
[1]
−0.926
[2]
7.41E−04
[3]
3.09E−03
[13] array · 4 items
[0]
HALLMARK_APOPTOSIS
[1]
0.574
[2]
1.13E−03
[3]
4.13E−03
[14] array · 4 items
[0]
HALLMARK_HEME_METABOLISM
[1]
0.610
[2]
1.16E−03
[3]
4.13E−03
[15] array · 4 items
[0]
HALLMARK_KRAS_SIGNALING_UP
[1]
−0.622
[2]
1.24E−03
[3]
4.13E−03
[16] array · 4 items
[0]
HALLMARK_ESTROGEN_RESPONSE_EARLY
[1]
0.572
[2]
1.41E−03
[3]
4.16E−03
[17] array · 4 items
[0]
HALLMARK_PEROXISOME
[1]
0.676
[2]
1.38E−03
[3]
4.16E−03
[18] array · 4 items
[0]
HALLMARK_UV_RESPONSE_DN
[1]
0.624
[2]
1.95E−03
[3]
5.42E−03
[19] array · 4 items
[0]
HALLMARK_HEDGEHOG_SIGNALING
[1]
0.742
[2]
1.96E−02
[3]
4.97E−02
[20] array · 4 items
[0]
HALLMARK_OXIDATIVE_PHOSPHORYLATION
[1]
−0.599
[2]
2.09E−02
[3]
4.97E−02
[21] array · 4 items
[0]
HALLMARK_REACTIVE_OXYGEN_SPECIES_PATHWAY
[1]
0.706
[2]
2.03E−02
[3]
4.97E−02
locator
section[16]/table-wrap[2]#Tab4
[8] object · 16 fields
id
asset:table:pmid:33632198:5
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:d6a056fc0c1071e23a19075b5ab469d959d19c7c257556e421cd969ec2814fee
bytes
1385
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[17]/table-wrap[1]#Tab5
version
null
note
Cetuximab resistance-related genes from the Genomics of Drug Sensitivity in Cancer database
structure object · 5 fields
pmcid
PMC7905896
section_index
17
section_title
Common DEGs and PPI network construction
row_count
21
column_count
6
table object · 8 fields
label
Table 5
caption
Cetuximab resistance-related genes from the Genomics of Drug Sensitivity in Cancer database
rows array · 21 items
[0] array · 6 items
[0]
Cancer feature
[1]
Effect size
[2]
p value
[3]
FDR%
[4]
No. of altered cell lines
[5]
Tissue analysis
[1] array · 6 items
[0]
SRGAP3_mut
[1]
−1.310
[2]
0.0382
[3]
99.7
[4]
3
[5]
COREAD
[2] array · 6 items
[0]
PBRM1_mut
[1]
−0.971
[2]
0.0791
[3]
99.7
[4]
4
[5]
COREAD
[3] array · 6 items
[0]
B2M_mut
[1]
−0.722
[2]
0.0879
[3]
99.7
[4]
7
[5]
COREAD
[4] array · 6 items
[0]
FBXW7_mut
[1]
−0.575
[2]
0.0998
[3]
99.7
[4]
13
[5]
COREAD
[5] array · 6 items
[0]
BRAF_mut
[1]
0.580
[2]
0.109
[3]
99.7
[4]
10
[5]
COREAD
[6] array · 6 items
[0]
cnaCOREAD47
[1]
0.737
[2]
0.111
[3]
99.7
[4]
6
[5]
COREAD
[7] array · 6 items
[0]
cnaCOREAD18
[1]
0.611
[2]
0.124
[3]
99.7
[4]
8
[5]
COREAD
[8] array · 6 items
[0]
MGA_mut
[1]
−0.688
[2]
0.132
[3]
99.7
[4]
6
[5]
COREAD
[9] array · 6 items
[0]
cnaCOREAD14
[1]
0.892
[2]
0.147
[3]
99.7
[4]
3
[5]
COREAD
[10] array · 6 items
[0]
CTCF_mut
[1]
−0.560
[2]
0.17
[3]
99.7
[4]
7
[5]
COREAD
[11] array · 6 items
[0]
cnaCOREAD37
[1]
0.634
[2]
0.172
[3]
99.7
[4]
6
[5]
COREAD
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[0]
CDH1_mut
[1]
−0.819
[2]
0.195
[3]
99.7
[4]
3
[5]
COREAD
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[0]
CTNNB1_mut
[1]
−0.577
[2]
0.199
[3]
99.7
[4]
6
[5]
COREAD
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[0]
CREBBP_mut
[1]
0.530
[2]
0.213
[3]
99.7
[4]
6
[5]
COREAD
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[0]
CHD9_mut
[1]
−0.468
[2]
0.231
[3]
99.7
[4]
9
[5]
COREAD
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[0]
BRWD1_mut
[1]
−0.740
[2]
0.231
[3]
99.7
[4]
3
[5]
COREAD
[17] array · 6 items
[0]
CHD4_mut
[1]
0.518
[2]
0.285
[3]
99.7
[4]
3
[5]
COREAD
[18] array · 6 items
[0]
APC_mut
[1]
−0.285
[2]
0.313
[3]
99.7
[4]
31
[5]
COREAD
[19] array · 6 items
[0]
AKAP9_mut
[1]
−0.412
[2]
0.316
[3]
99.7
[4]
8
[5]
COREAD
[20] array · 6 items
[0]
cnaCOREAD32
[1]
−0.372
[2]
0.347
[3]
99.7
[4]
6
[5]
COREAD
locator
section[17]/table-wrap[1]#Tab5
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asset:table:pmid:33632198:6
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jats-table
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sha256:58cadb7ebb4137f94bf7f28b312a9f5e30e854d41b212e4c81f6a4f85d489d31
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section[18]/table-wrap[1]#Tab6
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Spearman correlation analysis of differentially expressed genes and tumor-infiltrating immune cell markers in clinical samples
structure object · 5 fields
pmcid
PMC7905896
section_index
18
section_title
Core DEGs and tumor immune cell infiltration
row_count
30
column_count
4
table object · 8 fields
label
Table 6
caption
Spearman correlation analysis of differentially expressed genes and tumor-infiltrating immune cell markers in clinical samples
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[0] array · 2 items
[0]
Tumor-infiltrating immune cells marks
[1]
Gene expression level
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[0]
Spearman correlation
[1]
95% CI
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p value
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[0]
SATB-
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[0]
CD4
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0.22
[2]
0.00 to 0.42
[3]
0.047
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[0]
CD8
[1]
0.15
[2]
-0.07 to 0.35
[3]
0.184
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[0]
CD19
[1]
0.36
[2]
0.16 to 0.54
[3]
< 0.001
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[0]
CD68
[1]
0.34
[2]
0.14 to 0.52
[3]
0.002
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[0]
CD4 and CD8
[1]
0.22
[2]
0.07 to 0.42
[3]
0.044
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[0]
CD4, CD8, CD19, CD68
[1]
0.40
[2]
0.20 to 0.57
[3]
< 0.001
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[0]
ORP-1
[10] array · 4 items
[0]
CD4
[1]
0.28
[2]
0.07 to 0.46
[3]
0.010
[11] array · 4 items
[0]
CD8
[1]
0.24
[2]
0.03 to 0.43
[3]
0.030
[12] array · 4 items
[0]
CD19
[1]
0.36
[2]
0.16 to 0.53
[3]
< 0.001
[13] array · 4 items
[0]
CD68
[1]
0.31
[2]
0.11 to 0.50
[3]
0.003
[14] array · 4 items
[0]
CD4 and CD8
[1]
0.29
[2]
0.08 to 0.48
[3]
0.007
[15] array · 4 items
[0]
CD4, CD8, CD19, CD68
[1]
0.42
[2]
0.23 to 0.58
[3]
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[16] array · 1 item
[0]
MYB
[17] array · 4 items
[0]
CD4
[1]
0.22
[2]
0.01 to 0.42
[3]
0.040
[18] array · 4 items
[0]
CD8
[1]
0.20
[2]
-0.01 to 0.40
[3]
0.070
[19] array · 4 items
[0]
CD19
[1]
0.09
[2]
-0.13 to 0.30
[3]
0.450
[20] array · 4 items
[0]
CD68
[1]
0.28
[2]
0.07 to 0.47
[3]
0.009
[21] array · 4 items
[0]
CD4 and CD8
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0.26
[2]
0.05 to 0.45
[3]
0.020
[22] array · 4 items
[0]
CD4, CD8, CD19, CD68
[1]
0.25
[2]
0.04 to 0.44
[3]
0.020
[23] array · 1 item
[0]
CDX-2
[24] array · 4 items
[0]
CD4
[1]
0.66
[2]
0.52 to 0.77
[3]
< 0.001
[25] array · 4 items
[0]
CD8
[1]
0.35
[2]
0.14 to 0.53
[3]
0.001
[26] array · 4 items
[0]
CD19
[1]
0.20
[2]
-0.02 to 0.40
[3]
0.070
[27] array · 4 items
[0]
CD68
[1]
0.23
[2]
0.01 to 0.43
[3]
0.030
[28] array · 4 items
[0]
CD4 and CD8
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0.65
[2]
0.50 to 0.76
[3]
< 0.001
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[0]
CD4, CD8, CD19, CD68
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0.46
[2]
0.27 to 0.62
[3]
< 0.001
locator
section[18]/table-wrap[1]#Tab6
gaps array · 6 items
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asset:data:geo:GSE56386 not downloaded
[1]
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[2]
asset:data:geo:GSE5851 not downloaded
[3]
asset:data:geo:GSE5851 licence not read
[4]
asset:data:geo:GSE59857 not downloaded
[5]
asset:data:geo:GSE59857 licence not read
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partial
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method-1
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survival_analysis
specific
log_rank_test
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[0]
logrank_test
missing_operations array · 0 items
parameters object · 0 fields
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time_to_event_with_censoring
evidence object · 3 fields
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quote
Kaplan - Meier survival curve and Log - rank test analysis was applied to investigated the predictive valued of identified DEGs for patients with CRC and receiving cetuximab contained therapy.
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Correlation analysis
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evidence object · 3 fields
score
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Pearson correlation
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network_analysis
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Network / pathway analysis
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build_graph
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evidence object · 3 fields
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evidence object · 3 fields
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pathway enrichment
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capability:computational_analysis
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candidate
Automated Assays Laravel application and simulated adapters
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readiness object · 8 fields
state
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logrank_test
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basis
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tier
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availability_state
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tier
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GSE59857
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GSE59857
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statements array · 1 item
[0]
Public datasets of colon adenocarcinoma and rectum adenocarcinoma analyzed during the current study can be retrieved from The Cancer Genome Atlas (TCGA) at https://portal.gdc.cancer.gov/. GSE5851, GSE56368, and GSE59857 datasets can be retrieved from the Gene Expression Omnibus (GEO) at https://www.ncbi.nlm.nih.gov/geo/. Other data that support the findings of this study are available from the corresponding author on reasonable request.
basis
The paper names GSE59857, GSE5851, GSE56386 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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source:pmid:33632198
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asset:table:pmid:33632198:5
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[0]
ts transcriptome variations were detected by microarray. Meanwhile, public data from the Gene Expres
[1]
atients with colorectal cancer in the tissue microarray. Additional file 4: Figure S2. SATB-2, ORP-1
order_basis
paper_text_order:530
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dated the correlation in clinical samples by immunohistochemistry. We found that SATB-2, ORP-1, MYB, and CDX-2
[1]
Methods Validation in clinical samples by immunohistochemistry staining Patients with advanced CRC (n = 102
[2]
they were blocked with bovine serum albumin, immunostained with primary antibodies against SATB-2 (2130
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e 1: Table S1. Sequences of primers used for real-time quantitative PCR. Additional file 2: Figure S1. ROC curves fo
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Kaplan - Meier survival curve and Log - rank test analysis was applied to investigated the predictive valued of identified DEGs for patients with CRC and receiving cetuximab contained therapy.
order_basis
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33632198", "kind": "science-record", "revision": 7, "content_hash": "sha256:5896a911a898fab9bbcb1f14f44dec2b899d846baeb2e723e74a64dd80e15dd3", "created_at": "2026-11-01T15:41:26Z", "updated_at": "2026-11-01T22:03:12Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of key genes involved in tumor immune cell infiltration and cetuximab resistance in colorectal cancer.", "doi": "10.1186/s12935-021-01829-8", "pmid": "33632198", "authors": ["Li Liang", "Mengling Liu", "Xun Sun", "Yitao Yuan", "Ke Peng", "Khalid Rashid", "Yiyi Yu", "Yuehong Cui", "Yanjie Chen", "Tianshu Liu"], "journal": "Cancer cell international", "year": 2021, "abstract": "BACKGROUND: The anti-epidermal growth factor receptor (EGFR) antibody introduces adaptable variations to the transcriptome and triggers tumor immune infiltration, resulting in colorectal cancer (CRC) treatment resistance. We intended to identify genes that play essential roles in cetuximab resistance and tumor immune cell infiltration.\nMETHODS: A cetuximab-resistant CACO2 cellular model was established, and its transcriptome variations were detected by microarray. Meanwhile, public data from the Gene Expression Omnibus and The Cancer Genome Atlas (TCGA) database were downloaded. Integrated bioinformatics analysis was applied to detect differentially expressed genes (DEGs) between the cetuximab-resistant and the cetuximab-sensitive groups. Then, we investigated correlations between DEGs and immune cell infiltration. The DEGs from bioinformatics analysis were further validated in vitro and in clinical samples.\nRESULTS: We identified 732 upregulated and 1259 downregulated DEGs in the induced cellular model. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses, along with Gene Set Enrichment Analysis and Gene Set Variation Analysis, indicated the functions of the DEGs. Together with GSE59857 and GSE5841, 12 common DEGs (SATB-2, AKR1B10, ADH1A, ADH1C, MYB, ATP10B, CDX-2, FAR2, EPHB2, SLC26A3, ORP-1, VAV3) were identified and their predictive values of cetuximab treatment were validated in GSE56386. In online Genomics of Drug Sensitivity in Cancer (GDSC) database, nine of twelve DEGs were recognized in the protein-protein (PPI) network. Based on the transcriptome profiles of CRC samples in TCGA and using Tumor Immune Estimation Resource Version 2.0, we bioinformatically determined that SATB-2, ORP-1, MYB, and CDX-2 expressions were associated with intensive infiltration of B cell, CD4+ T cell, CD8+ T cell and macrophage, which was then validated the correlation in clinical samples by immunohistochemistry. We found that SATB-2, ORP-1, MYB, and CDX-2 were downregulated in vitro with cetuximab treatment. Clinically, patients with advanced CRC and high ORP-1 expression exhibited a longer progression-free survival time when they were treated with anti-EGFR therapy than those with low ORP-1 expression.\nCONCLUSIONS: SATB-2, ORP-1, MYB, and CDX-2 were related to cetuximab sensitivity as well as enhanced tumor immune cell infiltration in patients with CRC.", "claims": [{"id": "claim-method", "statement": "Kaplan - Meier survival curve and Log - rank test analysis was applied to investigated the predictive valued of identified DEGs for patients with CRC and receiving cetuximab contained therapy.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33632198", "locator": "sections[13] \"Statistical analysis\" paragraph 2", "quote": "Kaplan - Meier survival curve and Log - rank test analysis was applied to investigated the predictive valued of identified DEGs for patients with CRC and receiving cetuximab contained therapy."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Public datasets of colon adenocarcinoma and rectum adenocarcinoma analyzed during the current study can be retrieved from The Cancer Genome Atlas (TCGA) at https://portal.gdc.cancer.gov/. 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"4.421", "4.556", "9.133", "9.344", "9.152", "4.664", "4.91E–08", "1.11E–04"], ["RTP3", "1.232", "1.300", "1.161", "4.731", "4.881", "4.823", "3.581", "8.34E–08", "1.14E–04"], ["NPR2", "6.365", "6.349", "6.191", "10.112", "10.297", "10.310", "3.938", "9.25E–08", "1.16E–04"], ["SERPINF1", "10.281", "10.168", "10.135", "13.543", "13.716", "13.685", "3.453", "1.29E–07", "1.26E–04"], ["BASP1", "6.890", "6.446", "6.407", "11.922", "12.156", "12.069", "5.468", "1.33E–07", "1.26E–04"], ["LAMA1", "6.237", "6.392", "6.334", "9.733", "9.873", "9.949", "3.531", "1.42E–07", "1.26E–04"], ["THPO", "1.271", "1.275", "1.418", "4.485", "4.429", "4.562", "3.171", "1.75E–07", "1.26E–04"], ["ACTA1", "4.330", "3.837", "4.273", "9.829", "9.596", "9.503", "5.496", "1.80E–07", "1.26E–04"], ["SERPINF2", "11.096", "11.257", "10.992", "14.287", "14.346", "14.294", "3.194", "2.59E–07", "1.35E–04"], ["ANXA8", "9.699", "9.805", "9.662", "12.950", "13.168", "12.871", "3.274", "3.77E–07", "1.73E–04"], ["DPYSL3", "7.688", "7.165", "7.810", "12.588", "12.744", "12.676", "5.115", "4.15E–07", "1.82E–04"], ["PDGFRA", "1.312", "1.304", "1.231", "5.091", "5.216", "4.782", "3.748", "4.25E–07", "1.82E–04"], ["SDC2", "4.645", "4.510", "4.744", "7.533", "7.547", "7.725", "2.968", "5.37E–07", "2.10E–04"], ["ORM1", "12.007", "12.089", "11.909", "14.634", "14.613", "14.758", "2.667", "5.43E–07", "2.10E–04"], ["ORM2", "12.062", "12.209", "12.006", "14.728", "14.646", "14.739", "2.612", "5.85E–07", "2.10E–04"], ["ADM", "10.696", "10.620", "10.518", "13.201", "13.321", "13.175", "2.621", "5.92E–07", "2.10E–04"], ["ADAM19", "9.666", "9.526", "9.323", "12.874", "12.710", "12.676", "3.248", "6.38E–07", "2.22E–04"], ["CCDC3", "9.139", "9.112", "8.781", "12.448", "12.206", "12.351", "3.324", "9.05E–07", "2.59E–04"], ["Top 20 of down-regulated genes"], ["GC", "6.719", "6.693", "6.902", "1.271", "1.278", "1.263", "–5.500", "8.90E–09", "6.23E–05"], ["SCIN", "6.839", "6.926", "7.093", "1.350", "1.309", "1.335", "–5.621", "9.94E–09", "6.23E–05"], ["ST6GALNAC1", "7.759", "7.546", "7.389", "1.269", "1.309", "1.356", "–6.253", "1.39E–08", "6.51E–05"], ["PADI2", "8.533", "8.655", "8.104", "1.339", "1.256", "1.373", "–7.108", "3.18E–08", "9.95E–05"], ["MUC13", "14.179", "13.905", "14.478", "7.486", "7.521", "7.534", "–6.674", "4.05E–08", "1.09E–04"], ["SULF2", "9.285", "8.985", "9.273", "3.737", "3.522", "3.850", "–5.478", "5.92E–08", "1.11E–04"], ["COL17A1", "8.492", "8.749", "8.525", "2.545", "2.030", "2.235", "–6.319", "6.07E–08", "1.11E–04"], ["FAM83E", "10.754", "10.695", "10.635", "6.944", "7.056", "6.897", "–3.729", "6.48E–08", "1.11E–04"], ["HLA-DMB", "5.666", "5.548", "5.337", "1.177", "1.237", "1.244", "–4.298", "8.23E–08", "1.14E–04"], ["NPAS2", "5.506", "5.310", "5.640", "1.250", "1.186", "1.173", "–4.282", "8.47E–08", "1.14E–04"], ["PNLIPRP2", "9.009", "8.923", "8.898", "4.505", "4.836", "4.560", "–4.310", "1.04E–07", "1.22E–04"], ["LCN2", "11.287", "11.659", "11.027", "4.564", "4.442", "4.834", "–6.711", "1.24E–07", "1.26E–04"], ["SRPX", "9.803", "9.612", "9.507", "5.937", "5.942", "5.842", "–3.734", "1.53E–07", "1.26E–04"], ["HOXB9", "10.762", "10.582", "10.682", "7.503", "7.485", "7.573", "–3.155", "1.66E–07", "1.26E–04"], ["BTNL3", "5.120", "5.170", "5.485", "1.188", "1.231", "1.215", "–4.047", "1.77E–07", "1.26E–04"], ["TMC5", "7.201", "6.746", "7.401", "1.274", "1.203", "1.339", "–5.844", "1.77E–07", "1.26E–04"], ["APOBEC1", "6.060", "5.632", "6.092", "1.210", "1.170", "1.156", "–4.749", "1.78E–07", "1.26E–04"], ["S100A9", "10.469", "10.404", "9.896", "3.540", "3.948", "3.972", "–6.436", "2.00E–07", "1.31E–04"], ["DDIT4L", "6.599", "6.789", "7.249", "1.229", "1.281", "1.306", "–5.607", "2.07E–07", "1.31E–04"], ["PI3", "13.824", "13.941", "13.611", "9.571", "9.226", "9.378", "–4.400", "2.12E–07", "1.31E–04"]], "row_count": 45, "column_count": 10, "numeric_cells": 373, "header_rows": 3, "locator": "section[15]/table-wrap[1]#Tab1"}}, {"id": 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"5.13", "−15.05", "−11.33"], ["GO:1,901,615", "Organic hydroxy compound metabolic process", "100", "5.03", "−13.61", "−10.01"], ["GO:0043062", "Extracellular structure organization", "82", "4.13", "−12.37", "−8.87"], ["GO:0015711", "Organic anion transport", "85", "4.28", "−10.60", "−7.25"], ["GO:0072006", "Nephron development", "37", "1.86", "−9.56", "−6.40"], ["GO:0048514", "Blood vessel morphogenesis", "105", "5.28", "−9.29", "−6.20"], ["GO:0009611", "Response to wounding", "105", "5.28", "−9.25", "−6.20"], ["GO:0051047", "Positive regulation of secretion", "75", "3.77", "−9.14", "−6.11"], ["GO:0006869", "Lipid transport", "66", "3.32", "−9.03", "−6.06"], ["GO:0008285", "Negative regulation of cell proliferation", "113", "5.69", "−8.91", "−6.01"], ["GO:0052548", "Regulation of endopeptidase activity", "73", "3.67", "−8.70", "−5.86"], ["GO:0032787", "Monocarboxylic acid metabolic process", "97", "4.88", "−8.15", "−5.36"], ["GO:0008610", "Lipid biosynthetic process", "103", "5.18", "−7.83", "−5.11"], ["GO:0003013", "Circulatory system process", "83", "4.18", "−7.17", "−4.54"], ["GO:0048598", "Embryonic morphogenesis", "87", "4.38", "−6.84", "−4.26"], ["GO:0030155", "Regulation of cell adhesion", "99", "4.98", "−6.68", "−4.14"], ["GO:0046683", "Response to organophosphorus", "31", "1.56", "−6.68", "−4.14"], ["GO:0035272", "Exocrine system development", "17", "0.86", "−6.62", "−4.11"], ["GO:0015718", "Monocarboxylic acid transport", "35", "1.76", "−6.53", "−4.04"], ["GO molecular function"], ["GO:0008289", "Lipid binding", "104", "5.23", "−6.90", "−3.45"], ["GO:0004857", "Enzyme inhibitor activity", "62", "3.12", "−6.81", "−3.45"], ["GO:0005509", "Calcium ion binding", "97", "4.88", "−6.45", "−3.37"], ["GO:0008201", "Heparin binding", "34", "1.71", "−6.05", "−3.17"], ["GO:0008514", "Organic anion transmembrane transporter activity", "39", "1.96", "−5.75", "−3.06"], ["GO:0048018", "Receptor ligand activity", "70", "3.52", "−5.72", "−3.06"], ["GO:0000987", "Proximal promoter sequence-specific DNA binding", "84", "4.23", "−5.16", "−2.65"], ["GO:0016491", "Oxidoreductase activity", "95", "4.78", "−4.82", "−2.41"], ["GO:0005201", "Extracellular matrix structural constituent", "30", "1.51", "−4.52", "−2.18"], ["GO:0016298", "Lipase activity", "25", "1.26", "−4.46", "−2.16"], ["GO:0033293", "Monocarboxylic acid binding", "18", "0.91", "−4.39", "−2.14"], ["GO:0043178", "Alcohol binding", "19", "0.96", "−4.39", "−2.14"], ["GO:0015144", "Carbohydrate transmembrane transporter activity", "12", "0.60", "−4.35", "−2.12"], ["GO:0033764", "Steroid dehydrogenase activity", "10", "0.50", "−4.05", "−1.90"], ["GO:0030515", "snoRNA binding", "10", "0.50", "−4.05", "−1.90"], ["GO:0042803", "Protein homodimerization activity", "81", "4.08", "−4.04", "−1.90"], ["GO:0008233", "Peptidase activity", "78", "3.93", "−3.82", "−1.73"], ["GO:0004745", "Retinol dehydrogenase activity", "8", "0.40", "−3.80", "−1.73"], ["GO:0019955", "Cytokine binding", "24", "1.21", "−3.69", "−1.63"], ["GO:0015250", "Water channel activity", "6", "0.30", "−3.50", "−1.46"], ["GO cellular component"], ["GO:0031012", "Extracellular matrix", "98", "4.93", "−13.46", "−10.17"], ["GO:0016324", "Apical plasma membrane", "68", "3.42", "−11.60", "−8.79"], ["GO:0044420", "Extracellular matrix component", "17", "0.86", "−6.08", "−3.57"], ["GO:0016323", "Basolateral plasma membrane", "41", "2.06", "−5.91", "−3.52"], ["GO:0031253", "Cell projection membrane", "56", "2.82", "−5.90", "−3.52"], ["GO:0005604", "Basement membrane", "23", "1.16", "−5.55", "−3.21"], ["GO:0031526", "Brush border membrane", "16", "0.81", "−5.25", "−2.97"], ["GO:0031091", "Platelet alpha granule", "21", "1.06", "−4.93", "−2.72"], ["GO:0030684", "Pre-ribosome", "19", "0.96", "−4.87", "−2.70"], ["GO:0005667", "Transcription factor complex", "53", "2.67", "−4.60", "−2.46"], ["GO:0070161", "Anchoring junction", "71", "3.57", "−3.64", "−1.68"], ["GO:0044452", "Nucleolar part", "29", "1.46", "−3.61", "−1.67"], ["GO:0005911", "Cell-cell junction", "53", "2.67", "−3.49", "−1.60"], ["GO:0005773", "Vacuole", "93", "4.68", "−3.40", "−1.56"], ["GO:0005777", "Peroxisome", "24", "1.21", "−3.40", "−1.56"], ["GO:0034358", "Plasma lipoprotein particle", "10", "0.50", "−3.32", "−1.52"], ["GO:0000940", "Condensed chromosome outer kinetochore", "6", "0.30", "−3.29", "−1.52"], ["GO:0071438", "Invadopodium membrane", "4", "0.20", "−3.22", "−1.48"], ["GO:0048471", "Perinuclear region of cytoplasm", "85", "4.28", "−3.20", "−1.47"], ["GO:0005593", "FACIT collagen trimer", "4", "0.20", "−2.88", "−1.25"], ["KEGG pathway"], ["hsa04974", "Protein digestion and absorption", "23", "1.16", "−6.16", "−3.46"], ["hsa04060", "Cytokine-cytokine receptor interaction", "45", "2.26", "−5.38", "−2.98"], ["hsa00830", "Retinol metabolism", "17", "0.86", "−4.86", "−2.64"], ["hsa04510", "Focal adhesion", "34", "1.71", "−4.45", "−2.36"], ["hsa04918", "Thyroid hormone synthesis", "17", "0.86", "−4.08", "−2.08"], ["hsa04610", "Complement and coagulation cascades", "17", "0.86", "−3.71", "−1.85"], ["hsa04310", "Wnt signaling pathway", "24", "1.21", "−3.21", "−1.49"], ["hsa03320", "PPAR signaling pathway", "15", "0.75", "−3.18", "−1.49"], ["hsa05323", "Rheumatoid arthritis", "17", "0.86", "−3.02", "−1.36"], ["hsa05146", "Amoebiasis", "17", "0.86", "−2.70", "−1.27"], ["hsa04540", "Gap junction", "16", "0.81", "−2.69", "−1.27"], ["hsa00471", "D-Glutamine and D-glutamate metabolism", "3", "0.15", "−2.68", "−1.27"], ["hsa04978", "Mineral absorption", "11", "0.55", "−2.60", "−1.21"], ["hsa04146", "Peroxisome", "15", "0.75", "−2.53", "−1.16"], ["hsa04621", "NOD-like receptor signaling pathway", "25", "1.26", "−2.49", "−1.14"], ["hsa04390", "Hippo signaling pathway", "23", "1.16", "−2.42", "−1.13"], ["hsa00590", "Arachidonic acid metabolism", "12", "0.60", "−2.38", "−1.13"], ["hsa00564", "Glycerophospholipid metabolism", "16", "0.81", "−2.35", "−1.12"], ["hsa04976", "Bile secretion", "13", "0.65", "−2.32", "−1.10"], ["hsa05412", "Arrhythmogenic right ventricular cardiomyopathy", "13", "0.65", "−2.26", "−1.06"]], "row_count": 85, "column_count": 6, "numeric_cells": 402, "header_rows": 1, "locator": "section[15]/table-wrap[2]#Tab2"}}, {"id": "asset:table:pmid:33632198:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:3297a1ec256c668469513d721300990d955757ed6ad8d4b9015ebca8cb4f0805", "bytes": 2882, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[16]/table-wrap[1]#Tab3", "version": null, "note": "Gene set enrichment analysis of upregulated and downregulated gene sets in the cetuximab resistant group", "structure": {"pmcid": "PMC7905896", "section_index": 16, "section_title": "Gene set enrichment", "row_count": 37, "column_count": 7}, "table": {"label": "Table 3", "caption": "Gene set enrichment analysis of upregulated and downregulated gene sets in the cetuximab resistant group", "rows": [["Name", "Size", "Es", "Nes", "Non p value", "FDR q value", "FWER p value"], ["Up-regulation in Resistant Group", "", "", "", ""], ["HALLMARK_PEROXISOME", "19", "−0.36", "−1.32", "0.00", "0.49", "0.39"], ["HALLMARK_UV_RESPONSE_UP", "24", "−0.17", "−1.00", "0.38", "1.00", "1.00"], ["HALLMARK_MYOGENESIS", "38", "−0.48", "−0.93", "0.79", "1.00", "1.00"], ["HALLMARK_KRAS_SIGNALING_DN", "27", "−0.24", "−0.92", "0.54", "1.00", "1.00"], ["HALLMARK_ADIPOGENESIS", "24", "−0.17", "−0.80", "0.51", "1.00", "1.00"], ["HALLMARK_INTERFERON_GAMMA_RESPONSE", "31", "−0.21", "−0.77", "0.91", "1.00", "1.00"], ["HALLMARK_INTERFERON_ALPHA_RESPONSE", "24", "−0.28", "−0.76", "0.91", "0.98", "1.00"], ["HALLMARK_P53_PATHWAY", "24", "−0.14", "−0.68", "0.91", "0.92", "1.00"], ["Down-regulation in Resistant Group", "", "", "", ""], ["HALLMARK_COMPLEMENT", "30", "0.34", "1.59", "0.00", "0.27", "0.09"], ["HALLMARK_BILE_ACID_METABOLISM", "21", "0.38", "1.57", "0.00", "0.19", 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"0.88", "1.00"], ["HALLMARK_COAGULATION", "30", "0.26", "0.99", "0.45", "0.85", "1.00"], ["HALLMARK_G2M_CHECKPOINT", "19", "0.40", "0.98", "0.54", "0.82", "1.00"], ["HALLMARK_E2F_TARGETS", "21", "0.37", "0.97", "0.69", "0.79", "1.00"], ["HALLMARK_MITOTIC_SPINDLE", "15", "0.29", "0.95", "0.66", "0.80", "1.00"], ["HALLMARK_MYC_TARGETS_V1", "21", "0.37", "0.93", "0.79", "0.80", "1.00"], ["HALLMARK_OXIDATIVE_PHOSPHORYLATION", "17", "0.32", "0.91", "0.82", "0.83", "1.00"], ["HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION", "44", "0.29", "0.91", "0.59", "0.80", "1.00"], ["HALLMARK_IL6_JAK_STAT3_SIGNALING", "16", "0.27", "0.87", "0.53", "0.84", "1.00"], ["HALLMARK_ALLOGRAFT_REJECTION", "22", "0.23", "0.81", "0.75", "0.89", "1.00"], ["HALLMARK_MTORC1_SIGNALING", "19", "0.19", "0.67", "0.91", "0.96", "1.00"], ["HALLMARK_FATTY_ACID_METABOLISM", "31", "0.14", "0.61", "0.91", "0.95", "1.00"]], "row_count": 37, "column_count": 7, "numeric_cells": 205, "header_rows": 1, "locator": 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["HALLMARK_INTERFERON_ALPHA_RESPONSE", "1.115", "3.21E−05", "3.89E−04"], ["HALLMARK_MYC_TARGETS_V1", "−1.096", "3.89E−05", "3.89E−04"], ["HALLMARK_MYC_TARGETS_V2", "−1.134", "2.88E−05", "3.89E−04"], ["HALLMARK_ANGIOGENESIS", "1.229", "1.43E−05", "3.89E−04"], ["HALLMARK_TGF_BETA_SIGNALING", "1.078", "9.87E−05", "6.17E−04"], ["HALLMARK_INTERFERON_GAMMA_RESPONSE", "0.909", "9.74E−05", "6.17E−04"], ["HALLMARK_UNFOLDED_PROTEIN_RESPONSE", "−0.978", "7.86E−05", "6.17E−04"], ["HALLMARK_E2F_TARGETS", "−0.915", "2.91E−04", "1.45E−03"], ["HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION", "0.741", "2.72E−04", "1.45E−03"], ["HALLMARK_APICAL_JUNCTION", "0.820", "3.21E−04", "1.46E−03"], ["HALLMARK_G2M_CHECKPOINT", "−0.926", "7.41E−04", "3.09E−03"], ["HALLMARK_APOPTOSIS", "0.574", "1.13E−03", "4.13E−03"], ["HALLMARK_HEME_METABOLISM", "0.610", "1.16E−03", "4.13E−03"], ["HALLMARK_KRAS_SIGNALING_UP", "−0.622", "1.24E−03", "4.13E−03"], ["HALLMARK_ESTROGEN_RESPONSE_EARLY", "0.572", "1.41E−03", "4.16E−03"], ["HALLMARK_PEROXISOME", "0.676", "1.38E−03", "4.16E−03"], ["HALLMARK_UV_RESPONSE_DN", "0.624", "1.95E−03", "5.42E−03"], ["HALLMARK_HEDGEHOG_SIGNALING", "0.742", "1.96E−02", "4.97E−02"], ["HALLMARK_OXIDATIVE_PHOSPHORYLATION", "−0.599", "2.09E−02", "4.97E−02"], ["HALLMARK_REACTIVE_OXYGEN_SPECIES_PATHWAY", "0.706", "2.03E−02", "4.97E−02"]], "row_count": 22, "column_count": 4, "numeric_cells": 63, "header_rows": 1, "locator": "section[16]/table-wrap[2]#Tab4"}}, {"id": "asset:table:pmid:33632198:5", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:d6a056fc0c1071e23a19075b5ab469d959d19c7c257556e421cd969ec2814fee", "bytes": 1385, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[17]/table-wrap[1]#Tab5", "version": null, "note": "Cetuximab resistance-related genes from the Genomics of Drug Sensitivity in Cancer database", "structure": {"pmcid": "PMC7905896", "section_index": 17, "section_title": "Common DEGs and PPI network construction", "row_count": 21, "column_count": 6}, "table": {"label": "Table 5", "caption": "Cetuximab resistance-related genes from the Genomics of Drug Sensitivity in Cancer database", "rows": [["Cancer feature", "Effect size", "p value", "FDR%", "No. of altered cell lines", "Tissue analysis"], ["SRGAP3_mut", "−1.310", "0.0382", "99.7", "3", "COREAD"], ["PBRM1_mut", "−0.971", "0.0791", "99.7", "4", "COREAD"], ["B2M_mut", "−0.722", "0.0879", "99.7", "7", "COREAD"], ["FBXW7_mut", "−0.575", "0.0998", "99.7", "13", "COREAD"], ["BRAF_mut", "0.580", "0.109", "99.7", "10", "COREAD"], ["cnaCOREAD47", "0.737", "0.111", "99.7", "6", "COREAD"], ["cnaCOREAD18", "0.611", "0.124", "99.7", "8", "COREAD"], ["MGA_mut", "−0.688", "0.132", "99.7", "6", "COREAD"], ["cnaCOREAD14", "0.892", "0.147", "99.7", "3", "COREAD"], ["CTCF_mut", "−0.560", "0.17", "99.7", "7", "COREAD"], ["cnaCOREAD37", "0.634", "0.172", "99.7", "6", "COREAD"], ["CDH1_mut", "−0.819", "0.195", "99.7", "3", "COREAD"], ["CTNNB1_mut", "−0.577", "0.199", "99.7", "6", "COREAD"], ["CREBBP_mut", "0.530", "0.213", "99.7", "6", "COREAD"], ["CHD9_mut", "−0.468", "0.231", "99.7", "9", "COREAD"], ["BRWD1_mut", "−0.740", "0.231", "99.7", "3", "COREAD"], ["CHD4_mut", "0.518", "0.285", "99.7", "3", "COREAD"], ["APC_mut", "−0.285", "0.313", "99.7", "31", "COREAD"], ["AKAP9_mut", "−0.412", "0.316", "99.7", "8", "COREAD"], ["cnaCOREAD32", "−0.372", "0.347", "99.7", "6", "COREAD"]], "row_count": 21, "column_count": 6, "numeric_cells": 85, "header_rows": 1, "locator": "section[17]/table-wrap[1]#Tab5"}}, {"id": "asset:table:pmid:33632198:6", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:58cadb7ebb4137f94bf7f28b312a9f5e30e854d41b212e4c81f6a4f85d489d31", "bytes": 1463, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[18]/table-wrap[1]#Tab6", "version": null, "note": "Spearman correlation analysis of differentially expressed genes and tumor-infiltrating immune cell markers in clinical samples", "structure": {"pmcid": "PMC7905896", "section_index": 18, "section_title": "Core DEGs and tumor immune cell infiltration", "row_count": 30, "column_count": 4}, "table": {"label": "Table 6", "caption": "Spearman correlation analysis of differentially expressed genes and tumor-infiltrating immune cell markers in clinical samples", "rows": [["Tumor-infiltrating immune cells marks", "Gene expression level"], ["Spearman correlation", "95% CI", "p value"], ["SATB-"], ["CD4", "0.22", "0.00 to 0.42", "0.047"], ["CD8", "0.15", "-0.07 to 0.35", "0.184"], ["CD19", "0.36", "0.16 to 0.54", "< 0.001"], ["CD68", "0.34", "0.14 to 0.52", "0.002"], ["CD4 and CD8", "0.22", "0.07 to 0.42", "0.044"], ["CD4, CD8, CD19, CD68", "0.40", "0.20 to 0.57", "< 0.001"], ["ORP-1"], ["CD4", "0.28", "0.07 to 0.46", "0.010"], ["CD8", 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The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE59857", "GSE5851", "GSE56386"], "resolved_accessions": ["GSE59857", "GSE5851", "GSE56386"], "statements": ["Public datasets of colon adenocarcinoma and rectum adenocarcinoma analyzed during the current study can be retrieved from The Cancer Genome Atlas (TCGA) at https://portal.gdc.cancer.gov/. GSE5851, GSE56368, and GSE59857 datasets can be retrieved from the Gene Expression Omnibus (GEO) at https://www.ncbi.nlm.nih.gov/geo/. Other data that support the findings of this study are available from the corresponding author on reasonable request."], "basis": "The paper names GSE59857, GSE5851, GSE56386 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. 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We found that SATB-2, ORP-1, MYB, and CDX-2", "Methods Validation in clinical samples by immunohistochemistry staining Patients with advanced CRC (n = 102", "they were blocked with bovine serum albumin, immunostained with primary antibodies against SATB-2 (2130"], "order_basis": "paper_text_order:2017", "id": "assay:2"}, {"role": "data_generation", "definition_id": "animal_model", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.69, "evidence": ["and incubated with goat anti-rabbit or anti-mouse secondary antibody (1:200) for about 30 min"], "order_basis": "paper_text_order:3874", "id": "assay:3"}, {"role": "data_generation", "definition_id": "qpcr", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["e 1: Table S1. 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