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pmid:35488236

LMOD1, an oncogene associated with Lauren classification, regulates the metastasis of gastric cancer cells through the FAK-AKT/mTOR pathway.

Yuen Tan · Qingchuan Chen · Siwei Pan · Wen An · Huimian Xu · Yao Xing · Jianjun Zhang

BMC cancer · 2022 doi:10.1186/s12885-022-09541-0

Paper

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Experiment

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Data

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title
LMOD1, an oncogene associated with Lauren classification, regulates the metastasis of gastric cancer cells through the FAK-AKT/mTOR pathway.
doi
10.1186/s12885-022-09541-0
pmid
35488236
authors array · 7 items
[0]
Yuen Tan
[1]
Qingchuan Chen
[2]
Siwei Pan
[3]
Wen An
[4]
Huimian Xu
[5]
Yao Xing
[6]
Jianjun Zhang
journal
BMC cancer
year
2022
abstract
BACKGROUND: The Lauren classification of gastric tumors strongly correlates with prognosis. The purpose of this study was to explore the specific molecular mechanism of Lauren classification of gastric cancer and provide a possible theoretical basis for the treatment of gastric cancer. METHODS: We standardized the gene expression data of five Gene Expression Omnibus gastric cancer databases and constructed a Weighted Co-expression Network Analysis (WGCNA) model based on clinicopathological information. The overall survival (OS) and disease-free survival (DFS) curves were extracted from the Cancer Genome Atlas (TCGA) and GSE62254 databases. Western blotting was used to measure protein expression in cells and tissues. Scratch and transwell experiments were used to test the migration ability of tumor cells. Immunohistochemistry was used to measure tissue protein expression in clinical tissue samples to correlate to survival data. RESULTS: The WGCNA model demonstrated that blue cyan was highly correlated with the Lauren classification of the tumor (r = 0.24, P = 7 × 1016). A protein-protein interaction network was used to visualize the genes in the blue cyan module. The OS and PFS TCGA analysis revealed that LMOD1 was a gene of interest. The proportion of diffuse gastric cancer patients with high expression of LMOD1 was significantly higher than that of intestinal type patients. LMOD1 promoted the migration of gastric cancer cells by regulating the FAK-Akt/mTOR pathway in vitro. Additionally, a Gene Set Enrichment Analysis using the TCGA and GSE62254 databases, and western blot data, showed that LMOD1 could promote an epithelial-mesenchymal transition (EMT), thus potentially affecting the occurrence of peritoneal metastasis of gastric cancer. Immunohistochemistry showed that LMOD1 was highly expressed in cancer tissues, and the prognosis of patients with high LMOD1 expression was poor. CONCLUSION: LMOD1 is an oncogene associated with diffuse gastric cancer and can affect the occurrence and development of EMT by regulating the FAK-Akt/mTOR pathway. LMOD1 can therefore promote peritoneal metastasis of gastric cancer cells and can be used as a novel therapeutic target for gastric cancer.
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We used the WGCNA package for the WGCNA analysis, and the cluster analysis was performed on the expression data, and clinical information of 1001 patients to measure their distribution, and eliminate abnormal values.
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We used the WGCNA package for the WGCNA analysis, and the cluster analysis was performed on the expression data, and clinical information of 1001 patients to measure their distribution, and eliminate abnormal values.
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The data that support the findings of this study are openly available in GEO databases and The Cancer Genome Atlas database (https://www.ncbi.nlm.nih.gov/gds, https://www.cancer.gov/aboutnci/organization/ccg/research/structural-genomics/tcga).
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The data that support the findings of this study are openly available in GEO databases and The Cancer Genome Atlas database (https://www.ncbi.nlm.nih.gov/gds, https://www.cancer.gov/aboutnci/organization/ccg/research/structural-genomics/tcga).
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The WGCNA model demonstrated that blue cyan was highly correlated with the Lauren classification of the tumor (r = 0.24, P = 7 × 1016).
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The WGCNA model demonstrated that blue cyan was highly correlated with the Lauren classification of the tumor (r = 0.24, P = 7 × 1016).
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The WGCNA model demonstrated that blue cyan was highly correlated with the Lauren classification of the tumor (r = 0.24, P = 7 × 1016).
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The WGCNA model demonstrated that blue cyan was highly correlated with the Lauren classification of the tumor (r = 0.24, P = 7 × 1016).
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sample_count
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570;96
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Homo sapiens
title
Oncogenic Pathway Combinations Predict Clinical Prognosis in Gastric Cancer
resolution_checked_at
2026-11-01T17:30:42Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
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[3] object · 15 fields
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note
The data that support the findings of this study are openly available in GEO databases and The Cancer Genome Atlas database (https://www.ncbi.nlm.nih.gov/gds, https://www.cancer.gov/aboutnci/organization/ccg/research/structural-genomics/tcga).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data that support the findings of this study are openly available in GEO databases and The Cancer Genome Atlas database (https://www.ncbi.nlm.nih.gov/gds, https://www.cancer.gov/aboutnci/organization/ccg/research/structural-genomics/tcga).
access_statement_kind
data_availability_statement
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title
Gene expression profiling of formalin fixed paraffin embedded tumor tissue identifies gastric cancer patients who are at high risk after curative surgery plus adjuvant chemoradiotherapy
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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[4] object · 15 fields
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The data that support the findings of this study are openly available in GEO databases and The Cancer Genome Atlas database (https://www.ncbi.nlm.nih.gov/gds, https://www.cancer.gov/aboutnci/organization/ccg/research/structural-genomics/tcga).
structure object · 15 fields
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The data that support the findings of this study are openly available in GEO databases and The Cancer Genome Atlas database (https://www.ncbi.nlm.nih.gov/gds, https://www.cancer.gov/aboutnci/organization/ccg/research/structural-genomics/tcga).
access_statement_kind
data_availability_statement
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GSM723617
[154]
GSM723618
[155]
GSM723619
[156]
GSM723620
[157]
GSM723621
[158]
GSM723622
[159]
GSM723623
[160]
GSM723624
[161]
GSM723625
[162]
GSM723626
[163]
GSM723627
[164]
GSM723628
[165]
GSM723629
[166]
GSM723630
[167]
GSM723631
[168]
GSM723632
[169]
GSM723633
[170]
GSM723634
[171]
GSM723635
[172]
GSM723636
[173]
GSM723637
[174]
GSM723638
[175]
GSM723639
[176]
GSM723640
[177]
GSM723641
[178]
GSM723642
[179]
GSM723643
[180]
GSM723644
[181]
GSM723645
[182]
GSM723646
[183]
GSM723647
[184]
GSM723648
[185]
GSM723649
[186]
GSM723650
[187]
GSM723651
[188]
GSM723652
[189]
GSM723653
[190]
GSM723654
[191]
GSM723655
[192]
GSM723656
[193]
GSM723657
[194]
GSM723658
[195]
GSM723659
[196]
GSM723660
[197]
GSM723661
[198]
GSM723662
[199]
GSM723663
[200]
GSM723664
[201]
GSM723665
[202]
GSM723666
[203]
GSM723667
[204]
GSM723668
[205]
GSM723669
[206]
GSM723670
[207]
GSM723671
[208]
GSM723672
[209]
GSM723673
[210]
GSM723674
[211]
GSM723675
[212]
GSM723676
[213]
GSM723677
[214]
GSM723678
[215]
GSM723679
[216]
GSM723680
[217]
GSM723681
[218]
GSM723682
[219]
GSM723683
[220]
GSM723684
[221]
GSM723685
[222]
GSM723686
[223]
GSM723687
[224]
GSM723688
[225]
GSM723689
[226]
GSM723690
[227]
GSM723691
[228]
GSM723692
[229]
GSM723693
[230]
GSM723694
[231]
GSM723695
[232]
GSM723696
[233]
GSM723697
[234]
GSM723698
[235]
GSM723699
[236]
GSM723700
[237]
GSM723701
[238]
GSM723702
[239]
GSM723703
[240]
GSM723704
[241]
GSM723705
[242]
GSM723706
[243]
GSM723707
[244]
GSM723708
[245]
GSM723709
[246]
GSM723710
[247]
GSM723711
[248]
GSM723712
[249]
GSM723713
[250]
GSM723714
[251]
GSM723715
[252]
GSM723716
[253]
GSM723717
[254]
GSM723718
[255]
GSM723719
[256]
GSM723720
[257]
GSM723721
[258]
GSM723722
[259]
GSM723723
[260]
GSM723724
[261]
GSM723725
[262]
GSM723726
[263]
GSM723727
[264]
GSM723728
[265]
GSM723729
[266]
GSM723730
[267]
GSM723731
sample_count
268
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
Affymetrix gene expression array data for cardia and non-cardia gastric cancer samples
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[5] object · 15 fields
id
data:geo:GSE62254
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE62254
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE62254
version
null
note
The data that support the findings of this study are openly available in GEO databases and The Cancer Genome Atlas database (https://www.ncbi.nlm.nih.gov/gds, https://www.cancer.gov/aboutnci/organization/ccg/research/structural-genomics/tcga).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data that support the findings of this study are openly available in GEO databases and The Cancer Genome Atlas database (https://www.ncbi.nlm.nih.gov/gds, https://www.cancer.gov/aboutnci/organization/ccg/research/structural-genomics/tcga).
access_statement_kind
data_availability_statement
sample_accessions array · 300 items
[0]
GSM1523727
[1]
GSM1523728
[2]
GSM1523729
[3]
GSM1523744
[4]
GSM1523745
[5]
GSM1523746
[6]
GSM1523747
[7]
GSM1523748
[8]
GSM1523765
[9]
GSM1523768
[10]
GSM1523769
[11]
GSM1523770
[12]
GSM1523771
[13]
GSM1523772
[14]
GSM1523773
[15]
GSM1523774
[16]
GSM1523775
[17]
GSM1523776
[18]
GSM1523777
[19]
GSM1523778
[20]
GSM1523779
[21]
GSM1523780
[22]
GSM1523781
[23]
GSM1523782
[24]
GSM1523783
[25]
GSM1523784
[26]
GSM1523785
[27]
GSM1523786
[28]
GSM1523787
[29]
GSM1523788
[30]
GSM1523789
[31]
GSM1523790
[32]
GSM1523791
[33]
GSM1523792
[34]
GSM1523793
[35]
GSM1523794
[36]
GSM1523795
[37]
GSM1523796
[38]
GSM1523797
[39]
GSM1523798
[40]
GSM1523799
[41]
GSM1523800
[42]
GSM1523801
[43]
GSM1523802
[44]
GSM1523803
[45]
GSM1523804
[46]
GSM1523805
[47]
GSM1523806
[48]
GSM1523807
[49]
GSM1523808
[50]
GSM1523809
[51]
GSM1523810
[52]
GSM1523811
[53]
GSM1523812
[54]
GSM1523813
[55]
GSM1523814
[56]
GSM1523815
[57]
GSM1523816
[58]
GSM1523817
[59]
GSM1523818
[60]
GSM1523819
[61]
GSM1523820
[62]
GSM1523821
[63]
GSM1523822
[64]
GSM1523823
[65]
GSM1523824
[66]
GSM1523825
[67]
GSM1523826
[68]
GSM1523827
[69]
GSM1523828
[70]
GSM1523829
[71]
GSM1523830
[72]
GSM1523831
[73]
GSM1523832
[74]
GSM1523833
[75]
GSM1523834
[76]
GSM1523835
[77]
GSM1523836
[78]
GSM1523837
[79]
GSM1523838
[80]
GSM1523839
[81]
GSM1523840
[82]
GSM1523841
[83]
GSM1523842
[84]
GSM1523843
[85]
GSM1523844
[86]
GSM1523845
[87]
GSM1523846
[88]
GSM1523847
[89]
GSM1523848
[90]
GSM1523849
[91]
GSM1523850
[92]
GSM1523851
[93]
GSM1523852
[94]
GSM1523853
[95]
GSM1523854
[96]
GSM1523855
[97]
GSM1523856
[98]
GSM1523857
[99]
GSM1523858
[100]
GSM1523859
[101]
GSM1523860
[102]
GSM1523861
[103]
GSM1523862
[104]
GSM1523863
[105]
GSM1523864
[106]
GSM1523865
[107]
GSM1523866
[108]
GSM1523867
[109]
GSM1523868
[110]
GSM1523869
[111]
GSM1523870
[112]
GSM1523871
[113]
GSM1523872
[114]
GSM1523873
[115]
GSM1523874
[116]
GSM1523875
[117]
GSM1523876
[118]
GSM1523877
[119]
GSM1523878
[120]
GSM1523879
[121]
GSM1523880
[122]
GSM1523881
[123]
GSM1523882
[124]
GSM1523883
[125]
GSM1523884
[126]
GSM1523885
[127]
GSM1523886
[128]
GSM1523887
[129]
GSM1523888
[130]
GSM1523889
[131]
GSM1523890
[132]
GSM1523891
[133]
GSM1523892
[134]
GSM1523893
[135]
GSM1523894
[136]
GSM1523895
[137]
GSM1523896
[138]
GSM1523897
[139]
GSM1523898
[140]
GSM1523899
[141]
GSM1523901
[142]
GSM1523903
[143]
GSM1523904
[144]
GSM1523905
[145]
GSM1523906
[146]
GSM1523908
[147]
GSM1523909
[148]
GSM1523910
[149]
GSM1523911
[150]
GSM1523918
[151]
GSM1523919
[152]
GSM1523920
[153]
GSM1523921
[154]
GSM1523922
[155]
GSM1523923
[156]
GSM1523924
[157]
GSM1523925
[158]
GSM1523926
[159]
GSM1523927
[160]
GSM1523928
[161]
GSM1523929
[162]
GSM1523930
[163]
GSM1523931
[164]
GSM1523932
[165]
GSM1523933
[166]
GSM1523934
[167]
GSM1523935
[168]
GSM1523936
[169]
GSM1523937
[170]
GSM1523938
[171]
GSM1523939
[172]
GSM1523940
[173]
GSM1523941
[174]
GSM1523942
[175]
GSM1523943
[176]
GSM1523944
[177]
GSM1523945
[178]
GSM1523946
[179]
GSM1523947
[180]
GSM1523948
[181]
GSM1523949
[182]
GSM1523950
[183]
GSM1523951
[184]
GSM1523952
[185]
GSM1523953
[186]
GSM1523954
[187]
GSM1523955
[188]
GSM1523956
[189]
GSM1523957
[190]
GSM1523958
[191]
GSM1523959
[192]
GSM1523960
[193]
GSM1523961
[194]
GSM1523962
[195]
GSM1523963
[196]
GSM1523964
[197]
GSM1523965
[198]
GSM1523966
[199]
GSM1523967
[200]
GSM1523968
[201]
GSM1523969
[202]
GSM1523970
[203]
GSM1523971
[204]
GSM1523972
[205]
GSM1523973
[206]
GSM1523974
[207]
GSM1523975
[208]
GSM1523976
[209]
GSM1523977
[210]
GSM1523978
[211]
GSM1523979
[212]
GSM1523980
[213]
GSM1523981
[214]
GSM1523982
[215]
GSM1523983
[216]
GSM1523984
[217]
GSM1523985
[218]
GSM1523986
[219]
GSM1523987
[220]
GSM1523988
[221]
GSM1523989
[222]
GSM1523990
[223]
GSM1523991
[224]
GSM1523992
[225]
GSM1523993
[226]
GSM1523994
[227]
GSM1523995
[228]
GSM1523996
[229]
GSM1523997
[230]
GSM1523998
[231]
GSM1523999
[232]
GSM1524000
[233]
GSM1524001
[234]
GSM1524002
[235]
GSM1524003
[236]
GSM1524004
[237]
GSM1524005
[238]
GSM1524006
[239]
GSM1524007
[240]
GSM1524008
[241]
GSM1524009
[242]
GSM1524010
[243]
GSM1524011
[244]
GSM1524012
[245]
GSM1524013
[246]
GSM1524014
[247]
GSM1524015
[248]
GSM1524016
[249]
GSM1524017
[250]
GSM1524018
[251]
GSM1524019
[252]
GSM1524020
[253]
GSM1524021
[254]
GSM1524022
[255]
GSM1524023
[256]
GSM1524024
[257]
GSM1524025
[258]
GSM1524026
[259]
GSM1524027
[260]
GSM1524028
[261]
GSM1524029
[262]
GSM1524030
[263]
GSM1524031
[264]
GSM1524032
[265]
GSM1524033
[266]
GSM1524034
[267]
GSM1524035
[268]
GSM1524036
[269]
GSM1524037
[270]
GSM1524038
[271]
GSM1524039
[272]
GSM1524040
[273]
GSM1524041
[274]
GSM1524042
[275]
GSM1524043
[276]
GSM1524044
[277]
GSM1524045
[278]
GSM1524046
[279]
GSM1524047
[280]
GSM1524048
[281]
GSM1524049
[282]
GSM1524050
[283]
GSM1524051
[284]
GSM1524052
[285]
GSM1524053
[286]
GSM1524054
[287]
GSM1524055
[288]
GSM1524056
[289]
GSM1524057
[290]
GSM1524058
[291]
GSM1524059
[292]
GSM1524060
[293]
GSM1524061
[294]
GSM1524062
[295]
GSM1524068
[296]
GSM1524069
[297]
GSM1524070
[298]
GSM1524071
[299]
GSM1524072
sample_count
300
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Molecular analysis of gastric cancer identifies discrete subtypes associated with distinct clinical characteristics and survival outcomes: the ACRG (Asian Cancer Research Group) study [gastric tumors]
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 10 items
[0]
asset:data:geo:GSE13861 not downloaded
[1]
asset:data:geo:GSE13861 licence not read
[2]
asset:data:geo:GSE15460 not downloaded
[3]
asset:data:geo:GSE15460 licence not read
[4]
asset:data:geo:GSE26253 not downloaded
[5]
asset:data:geo:GSE26253 licence not read
[6]
asset:data:geo:GSE29272 not downloaded
[7]
asset:data:geo:GSE29272 licence not read
[8]
asset:data:geo:GSE62254 not downloaded
[9]
asset:data:geo:GSE62254 licence not read
analysis object · 4 fields
state
partial
methods array · 6 items
[0] object · 10 fields
id
method-1
family
group_comparison
specific
anova
label
Group comparison
dsl_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
missing_operations array · 0 items
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
ANOVA
[1] object · 10 fields
id
method-2
family
clustering
specific
hierarchical
label
Clustering
dsl_operations array · 1 item
[0]
hierarchical_cluster
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
feature_matrix
evidence object · 3 fields
score
0.8
band
high
quote
dendrogram
[2] object · 10 fields
id
method-3
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
protein-protein interaction
[3] object · 10 fields
id
method-4
family
network_analysis
specific
centrality
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.8
band
high
quote
Centrality
[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
null
specific
null
label
Weighted Co-expression Network Analysis (WGCNA)
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
verbatim
quote
We used the WGCNA package for the WGCNA analysis, and the cluster analysis was performed on the expression data, and clinical information of 1001 patients to measure their distribution, and eliminate abnormal values.
targets array · 2 items
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
bootstrap_mean_difference
unit
correlation coefficient
tolerance
null
state
complete
note
The published estimate as the reader quoted it from the paper. No tolerance is published because the paper states none.
[1] object · 8 fields
id
target-published-estimate-p-value
claim_id
claim-target-result
operation
bootstrap_mean_difference
unit
p-value
tolerance
null
state
complete
note
The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold.
gaps array · 1 item
[0]
method.reader_named_unmapped
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: anova.
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 · 5 items
[0]
GSE15460
[1]
GSE29272
[2]
GSE62254
[3]
GSE13861
[4]
GSE26253
resolved_accessions array · 5 items
[0]
GSE15460
[1]
GSE29272
[2]
GSE62254
[3]
GSE13861
[4]
GSE26253
statements array · 1 item
[0]
The data that support the findings of this study are openly available in GEO databases and The Cancer Genome Atlas database (https://www.ncbi.nlm.nih.gov/gds, https://www.cancer.gov/aboutnci/organization/ccg/research/structural-genomics/tcga).
basis
The paper names GSE15460, GSE29272, GSE62254, GSE13861, GSE26253 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
assets array · 2 items
[0]
source:pmid:35488236
[1]
data:geo:GSE13861
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE13861
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
2026-11-01T17:44:02Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
9755
completion_tokens
1901
cached_tokens
264
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:35488236
type
paper
label
pmid:35488236
[1] object · 3 fields
id
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Genome Atlas (TCGA) and GSE62254 databases. Western blotting was used to measure protein expression in ce
[1]
ancer tissues and stored them at − 80 °C for western blotting. All patients signed informed consents, and
[2]
ce of LMOD1 in clinical tissue samples. A, B Western blotting was used to measure the protein expression o
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s using the TCGA and GSE62254 databases, and western blot data, showed that LMOD1 could promote an epi
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o test the migration ability of tumor cells. Immunohistochemistry was used to measure tissue protein expressio
[1]
of peritoneal metastasis of gastric cancer. Immunohistochemistry showed that LMOD1 was highly expressed in ca
[2]
r tissues and 40 paracancerous tissues using immunohistochemistry (Fig. 6C), which also showed that the expres
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us tissues (Fig. 6D). According to the LMOD1 immunohistochemical scores, 102 patients with gastric cancer wer
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35488236", "kind": "science-record", "revision": 4, "content_hash": "sha256:db69fda4432ec522acf733ca6c1d4c93739120def5555cd5bf31f4a9b21adf17", "created_at": "2026-11-01T18:14:21Z", "updated_at": "2026-11-01T22:06:25Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "LMOD1, an oncogene associated with Lauren classification, regulates the metastasis of gastric cancer cells through the FAK-AKT/mTOR pathway.", "doi": "10.1186/s12885-022-09541-0", "pmid": "35488236", "authors": ["Yuen Tan", "Qingchuan Chen", "Siwei Pan", "Wen An", "Huimian Xu", "Yao Xing", "Jianjun Zhang"], "journal": "BMC cancer", "year": 2022, "abstract": "BACKGROUND: The Lauren classification of gastric tumors strongly correlates with prognosis. The purpose of this study was to explore the specific molecular mechanism of Lauren classification of gastric cancer and provide a possible theoretical basis for the treatment of gastric cancer.\nMETHODS: We standardized the gene expression data of five Gene Expression Omnibus gastric cancer databases and constructed a Weighted Co-expression Network Analysis (WGCNA) model based on clinicopathological information. The overall survival (OS) and disease-free survival (DFS) curves were extracted from the Cancer Genome Atlas (TCGA) and GSE62254 databases. Western blotting was used to measure protein expression in cells and tissues. Scratch and transwell experiments were used to test the migration ability of tumor cells. Immunohistochemistry was used to measure tissue protein expression in clinical tissue samples to correlate to survival data.\nRESULTS: The WGCNA model demonstrated that blue cyan was highly correlated with the Lauren classification of the tumor (r = 0.24, P = 7 × 1016). A protein-protein interaction network was used to visualize the genes in the blue cyan module. The OS and PFS TCGA analysis revealed that LMOD1 was a gene of interest. The proportion of diffuse gastric cancer patients with high expression of LMOD1 was significantly higher than that of intestinal type patients. LMOD1 promoted the migration of gastric cancer cells by regulating the FAK-Akt/mTOR pathway in vitro. Additionally, a Gene Set Enrichment Analysis using the TCGA and GSE62254 databases, and western blot data, showed that LMOD1 could promote an epithelial-mesenchymal transition (EMT), thus potentially affecting the occurrence of peritoneal metastasis of gastric cancer. Immunohistochemistry showed that LMOD1 was highly expressed in cancer tissues, and the prognosis of patients with high LMOD1 expression was poor.\nCONCLUSION: LMOD1 is an oncogene associated with diffuse gastric cancer and can affect the occurrence and development of EMT by regulating the FAK-Akt/mTOR pathway. LMOD1 can therefore promote peritoneal metastasis of gastric cancer cells and can be used as a novel therapeutic target for gastric cancer.", "claims": [{"id": "claim-method", "statement": "We used the WGCNA package for the WGCNA analysis, and the cluster analysis was performed on the expression data, and clinical information of 1001 patients to measure their distribution, and eliminate abnormal values.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35488236", "locator": "sections[5] \"Construction of the co-expression network\" paragraph 2", "quote": "We used the WGCNA package for the WGCNA analysis, and the cluster analysis was performed on the expression data, and clinical information of 1001 patients to measure their distribution, and eliminate abnormal values."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data that support the findings of this study are openly available in GEO databases and The Cancer Genome Atlas database (https://www.ncbi.nlm.nih.gov/gds, https://www.cancer.gov/aboutnci/organization/ccg/research/structural-genomics/tcga).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35488236", "locator": "sections[30] \"notes\" paragraph 1", "quote": "The data that support the findings of this study are openly available in GEO databases and The Cancer Genome Atlas database (https://www.ncbi.nlm.nih.gov/gds, https://www.cancer.gov/aboutnci/organization/ccg/research/structural-genomics/tcga)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The WGCNA model demonstrated that blue cyan was highly correlated with the Lauren classification of the tumor (r = 0.24, P = 7 × 1016).", "kind": "quantitative", "target": {"value": 0.24, "unit": "correlation coefficient", "tolerance": null, "source": "The WGCNA model demonstrated that blue cyan was highly correlated with the Lauren classification of the tumor (r = 0.24, P = 7 × 1016)."}, "evidence": [{"asset": "source:pmid:35488236", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "The WGCNA model demonstrated that blue cyan was highly correlated with the Lauren classification of the tumor (r = 0.24, P = 7 × 1016)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The WGCNA model demonstrated that blue cyan was highly correlated with the Lauren classification of the tumor (r = 0.24, P = 7 × 1016).", "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:35488236"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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