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pmid:29296238

The implication from RAS/RAF/ERK signaling pathway increased activation in epirubicin treated triple negative breast cancer.

Jianbo Huang · Qingqing Luo · Yun Xiao · Hongyuan Li · Lingquan Kong · Guosheng Ren

Oncotarget · 2017 doi:10.18632/oncotarget.22604

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pmid:29296238
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paper object · 10 fields
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title
The implication from RAS/RAF/ERK signaling pathway increased activation in epirubicin treated triple negative breast cancer.
doi
10.18632/oncotarget.22604
pmid
29296238
authors array · 6 items
[0]
Jianbo Huang
[1]
Qingqing Luo
[2]
Yun Xiao
[3]
Hongyuan Li
[4]
Lingquan Kong
[5]
Guosheng Ren
journal
Oncotarget
year
2017
abstract
BACKGROUND: Triple negative breast cancer (TNBC) is not sensitive to RAS/RAF/ERK signaling pathway (ERK pathway) targeting therapy, due to the absence of excessive activation of ERK pathway. However, the kinase cascades might be activated after chemotherapy in TNBC. Here we aimed to predict whether ERK pathway targeting therapy could be used as an adjuvant therapy in TNBC. METHODS: Within online GEO datasets (GSE43816 and GSE54326), gene set enrichment analysis (GSEA) was performed to detect molecular changes in epirubicin treated TNBC samples and cells, ERK pathway components and regulation genes changes were included. RESULTS: In epirubicin treated TNBC samples and cells, we found ERK pathway components (eg. MAPK13, MAP3K1, MAPK12, MAPK11 and MAPKAPK3) were obviously enriched, also, expression of ERK pathway positive regulation genes significantly increased (P<0.05) and negative regulation genes decreased (P<0.05) in epirubicin resistant cells. Moreover, phosphorylated ERK levels were significantly elevated in MDA-MB-231 cells after epirubicin treatment. CONCLUSION: ERK signaling pathway was more activated in epirubicin treated TNBC, possibly contributing to the epirubicin resistance in TNBC, it implicated that ERK pathway could be used as an novel candidate for targeting therapy in refractory and relapse TNBC.
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GEO datasets GSE43816 and GSE54326 were downloaded from website (https://www.ncbi.nlm.nih.gov/), GSEA, enrichment map analysis and heat map were performed with R software. Statistical analysis was done using Student's t-test, variance analysis and/or non-parametric tests. For all the tests, P<0.05 was considered as statistical significance. All statistics were calculated by SPSS 13.0 or R software.
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sections[9] "GEO datasets, GSEA, enrichment map analysis and heatmap" paragraph 2
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GEO datasets GSE43816 and GSE54326 were downloaded from website (https://www.ncbi.nlm.nih.gov/), GSEA, enrichment map analysis and heat map were performed with R software.
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sections[13] "Statistics" paragraph 2
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Statistical analysis was done using Student's t-test, variance analysis and/or non-parametric tests.
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sections[13] "Statistics" paragraph 2
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For all the tests, P<0.05 was considered as statistical significance.
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sections[13] "Statistics" paragraph 2
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All statistics were calculated by SPSS 13.0 or R software.
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Here we applied an online GEO dataset (GSE43816) for GSEA to discuss the molecular changes in epirubicin treated TNBC. This cohort study of 7 women with primary invasive TNBC were collected for tumor specimen before and after 4 cycles of NAC with epirubicine and cyclophosphamide, followed by 4 cycles of taxanes.
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sections[4] "ERK pathway activation elevated in epirubicin treated TNBC samples" paragraph 2
quote
Here we applied an online GEO dataset (GSE43816) for GSEA to discuss the molecular changes in epirubicin treated TNBC. This cohort study of 7 women with primary invasive TNBC were collected for tumor specimen before and after 4 cycles of NAC with epirubicine and cyclophosphamide, followed by 4 cycles of taxanes.
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Using gene set enrichment analysis of the online GEO datasets GSE43816 and GSE54326, the study found that ERK signaling became more activated in epirubicin-treated TNBC, with positive-regulation gene expression increased and negative-regulation gene expression decreased at P<0.05, suggesting a possible role in epirubicin resistance.
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In epirubicin treated TNBC samples and cells, we found ERK pathway components (eg. MAPK13, MAP3K1, MAPK12, MAPK11 and MAPKAPK3) were obviously enriched, also, expression of ERK pathway positive regulation genes significantly increased (P<0.05) and negative regulation genes decreased (P<0.05) in epirubicin resistant cells.
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sections[0] "Abstract" paragraph 2
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Within online GEO datasets (GSE43816 and GSE54326), gene set enrichment analysis (GSEA) was performed to detect molecular changes in epirubicin treated TNBC samples and cells, ERK pathway components and regulation genes changes were included.
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In epirubicin treated TNBC samples and cells, we found ERK pathway components (eg. MAPK13, MAP3K1, MAPK12, MAPK11 and MAPKAPK3) were obviously enriched, also, expression of ERK pathway positive regulation genes significantly increased (P<0.05) and negative regulation genes decreased (P<0.05) in epirubicin resistant cells.
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sections[0] "Abstract" paragraph 4
quote
ERK signaling pathway was more activated in epirubicin treated TNBC, possibly contributing to the epirubicin resistance in TNBC, it implicated that ERK pathway could be used as an novel candidate for targeting therapy in refractory and relapse TNBC.
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Using gene set enrichment analysis of the online GEO datasets GSE43816 and GSE54326, the study found that ERK signaling became more activated in epirubicin-treated TNBC, with positive-regulation gene expression increased and negative-regulation gene expression decreased at P<0.05, suggesting a possible role in epirubicin resistance.
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Here we applied an online GEO dataset (GSE43816) for GSEA to discuss the molecular changes in epirubicin treated TNBC. This cohort study of 7 women with primary invasive TNBC were collected for tumor specimen before and after 4 cycles of NAC with epirubicine and cyclophosphamide, followed by 4 cycles of taxanes.
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Here we applied an online GEO dataset (GSE43816) for GSEA to discuss the molecular changes in epirubicin treated TNBC. This cohort study of 7 women with primary invasive TNBC were collected for tumor specimen before and after 4 cycles of NAC with epirubicine and cyclophosphamide, followed by 4 cycles of taxanes.
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Response to Neoadjuvant Chemotherapy in Triple Negative Breast tumors.
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Here we applied an online GEO dataset (GSE43816) for GSEA to discuss the molecular changes in epirubicin treated TNBC. This cohort study of 7 women with primary invasive TNBC were collected for tumor specimen before and after 4 cycles of NAC with epirubicine and cyclophosphamide, followed by 4 cycles of taxanes.
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Here we applied an online GEO dataset (GSE43816) for GSEA to discuss the molecular changes in epirubicin treated TNBC. This cohort study of 7 women with primary invasive TNBC were collected for tumor specimen before and after 4 cycles of NAC with epirubicine and cyclophosphamide, followed by 4 cycles of taxanes.
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Global gene expression analysis of anthracycline-resistant breast cancer cell lines
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Clinical trials evaluating RAS/RAF/ERK inhibitors, according to Clinical Trials.gov. (July, 2017)
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A retrospective overview of ERK pathway inhibitors in cancer treatment
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Clinical trials evaluating RAS/RAF/ERK inhibitors, according to Clinical Trials.gov. (July, 2017)
rows array · 19 items
[0] array · 6 items
[0]
Compound
[1]
Combination
[2]
Phase
[3]
Tumor
[4]
Results
[5]
Author, Year
[1] array · 6 items
[0]
Selumetinib (MEK1/2 inhibitor)
[1]
-
[2]
II
[3]
Myeloma (36)
[4]
The response rate (CR + PR) was 5.6% with a mean duration of response of 4.95 months and median progression-free survival time of 3.52 months. One patient had a very good partial response, 1 patient had a partial response, 17 patients had stable disease, 13 patients had progressive disease.
[5]
Holkova B, 2016
[2] array · 6 items
[0]
Vemurafenib (BRAF inhibitor)
[1]
-
[2]
II
[3]
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[4]
The overall response rates were 96% (25 of 26 patients who could be evaluated) after a median of 8 weeks in the Italian study and 100% (24 of 24) after a median of 12 weeks in the U.S. study. The rates of complete response were 35% (9 of 26 patients) and 42% (10 of 24) in the two trials, respectively.
[5]
Tiacci E, 2015
[3] array · 6 items
[0]
Selumetinib (MEK1/2 inhibitor)
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[2]
III
[3]
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[4]
Ongoing
[5]
Carvajal RD, 2015
[4] array · 6 items
[0]
Trametinib (MEK1/2 inhibitor)
[1]
-
[2]
II
[3]
NSCLC (86)
[4]
10 (12%) patients had partial responses
[5]
Blumenschein GR Jr, 2015
[5] array · 6 items
[0]
Selumetinib (MEK1/2 inhibitor)
[1]
irinotecan
[2]
II
[3]
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[4]
3 patients (9.7 %) had partial response. 16 patients (51.6 %) had stable disease for ≥4 weeks, including three >1 year.
[5]
Hochster HS, 2015
[6] array · 6 items
[0]
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[1]
[2]
II
[3]
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[4]
Partial responses were recorded in ten of 26 patients in cohort 1.
[5]
Brose MS, 2016
[7] array · 6 items
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[1]
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[3]
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[4]
Disease control rate was 45%, and median PFS was 13 weeks.
[5]
Chen G, 2016
[8] array · 6 items
[0]
Selumetinib (MEK1/2 inhibitor)
[1]
[2]
II
[3]
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[4]
Three (6%) patients had objective response (1 CR, 2 PR); 13 had SD as best response. The proportion of patients with 6-month EFS was 12%. Median EFS, progression-free and overall survival was 2.1, 2.3, and 8.5months, respectively.
[5]
Coleman RL, 2015
[9] array · 6 items
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[3]
colorectal cancer (43)
[4]
Five (12%) achieved a partial response or better, including one (2%) complete response, with duration of response > 36 months; 24 patients (56%) achieved stable disease as best confirmed response.
[5]
Corcoran RB, 2015
[10] array · 6 items
[0]
Binimetinib (MEK inhibitor)
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[2]
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[3]
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[4]
Median progression-free survival was 2·8 months in the binimetinib group and 1·5 months in the dacarbazine group.
[5]
Dummer R, 2017
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Selumetinib (MEK inhibitor)
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[3]
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[4]
There was no difference in PFS between the two arms for the overall cohort; an improved median PFS was observed in the combination arm (N = 11) over single agent (N = 10) in the prespecified leiomyosarcoma stratum. Four-month PFS rate was 50% with the combination vs 0% with selumetinib alone in the leiomyosarcoma cohort.
[5]
Eroglu Z, 2015
[12] array · 6 items
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Selumetinib (MEK1/2 inhibitor)
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II
[3]
Pancreatic Adenocarcinoma (46)
[4]
Although no objective responses were observed, 19 patients (41%) showed evidence of stable disease for ≥6 weeks, and 13 of 34 patients (38%) had a CA19-9 decline ≥50%. Median progression-free survival was 1.9 months, with a median overall survival of 7.3 months.
[5]
Ko AH, 2016
[13] array · 6 items
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Vemurafenib (BRAF inhibitor)
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II
[2]
[3]
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[4]
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[5]
Kopetz S, 2015
[14] array · 6 items
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Trametinib (MEK1/MEK2 inhibitor)
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[2]
III
[3]
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[4]
The intent-to-treat (ITT) analysis estimated a 28% reduction in the hazard of death with trametinib treatment for patients in the primary efficacy population. Adjustment analyses deemed plausible provided OS HR point estimates ranging from 0.48 to 0.53. Similar reductions in the HR were estimated for the first-line metastatic subgroup. Treatment with trametinib, compared with chemotherapy, significantly reduced the risk of death and risk of disease progression in patients with BRAF V600E/K mutation-positive advanced melanoma or MM.
[5]
Latimer NR, 2016
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[2]
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[5]
Planchard D, 2016
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[2]
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Planchard D, 2016
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Dabrafenib (BRAF inhibitor) and Trametinib (MEK inhibitor)
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[5]
Robert C, 2015
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[5]
Zaman K, 2015
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MAPK family gene enriched in ERKsignaling pathway after neoadjuvant chemotherapy
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ERK pathway activation elevated in epirubicin treated TNBC samples
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MAPK family gene enriched in ERKsignaling pathway after neoadjuvant chemotherapy
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ERK pathway activation enhanced in epirubicin resistant TNBC cells
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MAPK family gene enriched in ERK signaling pathway in epirubicin resistant MDA-MB-231 cells
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2.315
[3]
0.0635
[4]
Yes
[3] array · 5 items
[0]
MAPK13
[1]
mitogen-activated protein kinase 13
[2]
1.662
[3]
0.1400
[4]
Yes
[4] array · 5 items
[0]
MAP3K14
[1]
mitogen-activated protein kinase kinasekinase 14
[2]
1.502
[3]
0.1608
[4]
Yes
[5] array · 5 items
[0]
MAP3K1
[1]
mitogen-activated protein kinase kinasekinase 1
[2]
1.151
[3]
0.2085
[4]
Yes
[6] array · 5 items
[0]
MAPKAPK3
[1]
mitogen-activated protein kinase-activated protein kinase 3
[2]
1.055
[3]
0.2247
[4]
Yes
[7] array · 5 items
[0]
MAPK3
[1]
mitogen-activated protein kinase 3
[2]
1.039
[3]
0.2289
[4]
Yes
[8] array · 5 items
[0]
MAPK12
[1]
mitogen-activated protein kinase 12
[2]
1.038
[3]
0.2352
[4]
Yes
[9] array · 5 items
[0]
MAP4K2
[1]
mitogen-activated protein kinase kinasekinasekinase 2
[2]
1.006
[3]
0.2440
[4]
Yes
[10] array · 5 items
[0]
MAP4K3
[1]
mitogen-activated protein kinase kinasekinasekinase 3
[2]
0.916
[3]
0.2595
[4]
Yes
[11] array · 5 items
[0]
MAP2K6
[1]
mitogen-activated protein kinase kinase 6
[2]
0.909
[3]
0.2636
[4]
Yes
[12] array · 5 items
[0]
MAPK11
[1]
mitogen-activated protein kinase 11
[2]
0.850
[3]
0.2689
[4]
Yes
[13] array · 5 items
[0]
MAP3K8
[1]
mitogen-activated protein kinase kinasekinase 8
[2]
0.569
[3]
0.2737
[4]
Yes
[14] array · 5 items
[0]
MAP2K3
[1]
mitogen-activated protein kinase kinase 3
[2]
0.499
[3]
0.2806
[4]
Yes
[15] array · 1 item
[0]
REACTOME_ACTIVATED_TAK1_MEDIATES_P38_MAPK_ACTIVATION
[16] array · 5 items
[0]
MAPKAPK3
[1]
mitogen-activated protein kinase-activated protein kinase 3
[2]
1.055
[3]
0.1597
[4]
Yes
[17] array · 5 items
[0]
MAP2K6
[1]
mitogen-activated protein kinase kinase 6
[2]
0.909
[3]
0.2390
[4]
Yes
[18] array · 5 items
[0]
MAPK11
[1]
mitogen-activated protein kinase 11
[2]
0.850
[3]
0.3228
[4]
Yes
[19] array · 5 items
[0]
MAP2K3
[1]
mitogen-activated protein kinase kinase 3
[2]
0.499
[3]
0.4379
[4]
Yes
locator
section[5]/table-wrap[1]#T3
gaps array · 4 items
[0]
asset:data:geo:GSE43816 not downloaded
[1]
asset:data:geo:GSE43816 licence not read
[2]
asset:data:geo:GSE54326 not downloaded
[3]
asset:data:geo:GSE54326 licence not read
analysis object · 4 fields
state
partial
methods array · 1 item
[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
GEO datasets GSE43816 and GSE54326 were downloaded from website (https://www.ncbi.nlm.nih.gov/), GSEA, enrichment map analysis and heat map were performed with R software. Statistical analysis was done using Student's t-test, variance analysis and/or non-parametric tests. For all the tests, P<0.05 was considered as statistical significance. All statistics were calculated by SPSS 13.0 or R software.
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
student_t
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.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]
GSE43816
[1]
GSE54326
resolved_accessions array · 2 items
[0]
GSE43816
[1]
GSE54326
statements array · 1 item
[0]
Here we applied an online GEO dataset (GSE43816) for GSEA to discuss the molecular changes in epirubicin treated TNBC. This cohort study of 7 women with primary invasive TNBC were collected for tumor specimen before and after 4 cycles of NAC with epirubicine and cyclophosphamide, followed by 4 cycles of taxanes.
basis
The paper names GSE43816, GSE54326 in 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 · 0 items
assets array · 5 items
[0]
source:pmid:29296238
[1]
data:geo:GSE43816
[2]
asset:table:pmid:29296238:1
[3]
asset:table:pmid:29296238:2
[4]
asset:table:pmid:29296238:3
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:GSE43816
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
2026-10-31T18:33:22Z
independence
same_provider
evidence_check object · 2 fields
method
reordered
availability
null
calls
8
usage object · 3 fields
prompt_tokens
51405
completion_tokens
4191
cached_tokens
7456
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:29296238
type
paper
label
pmid:29296238
[1] object · 3 fields
id
source:pmid:29296238
type
manuscript
label
PMID 29296238 full text
[2] object · 3 fields
id
data:geo:GSE43816
type
dataset
label
GEO GSE43816
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:29296238
type
paper
label
pmid:29296238
[1] object · 3 fields
id
source:pmid:29296238
type
manuscript
label
PMID 29296238 full text
[2] object · 3 fields
id
data:geo:GSE43816
type
dataset
label
GEO GSE43816
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-29296238
type
extraction
used array · 1 item
[0]
source:pmid:29296238
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE43816
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE43816
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:29296238
parent_hash
sha256:8d8d410b7694c019851468abe995a4b3d71dc9174b25714c1ef7172d5ec2d399
fork_of
null
gaps array · 10 items
[0]
asset:data:geo:GSE43816 licence not read
[1]
asset:data:geo:GSE43816 not downloaded
[2]
asset:data:geo:GSE54326 licence not read
[3]
asset:data:geo:GSE54326 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
microarray
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.77
evidence array · 1 item
[0]
the whole transcriptome was quantified with Affymetrix HuGene 1.1 ST. Among top 20 enriched pathway
order_basis
paper_text_order:2185
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]
GEO datasets GSE43816 and GSE54326 were downloaded from website (https://www.ncbi.nlm.nih.gov/), GSEA, enrichment map analysis and heat map were performed with R software. Statistical analysis was done using Student's t-test, variance analysis and/or non-parametric tests. For all the tests, P<0.05 was considered as statistical significance. All statistics were calculated by SPSS 13.0 or R software.
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:29296238", "kind": "science-record", "revision": 8, "content_hash": "sha256:b9bbc780afb7f36e654c9c2d51aaeb62210c03e4abe53323663dce9b20d299d8", "created_at": "2026-11-01T15:40:30Z", "updated_at": "2026-11-01T21:59:39Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "The implication from RAS/RAF/ERK signaling pathway increased activation in epirubicin treated triple negative breast cancer.", "doi": "10.18632/oncotarget.22604", "pmid": "29296238", "authors": ["Jianbo Huang", "Qingqing Luo", "Yun Xiao", "Hongyuan Li", "Lingquan Kong", "Guosheng Ren"], "journal": "Oncotarget", "year": 2017, "abstract": "BACKGROUND: Triple negative breast cancer (TNBC) is not sensitive to RAS/RAF/ERK signaling pathway (ERK pathway) targeting therapy, due to the absence of excessive activation of ERK pathway. However, the kinase cascades might be activated after chemotherapy in TNBC. Here we aimed to predict whether ERK pathway targeting therapy could be used as an adjuvant therapy in TNBC.\nMETHODS: Within online GEO datasets (GSE43816 and GSE54326), gene set enrichment analysis (GSEA) was performed to detect molecular changes in epirubicin treated TNBC samples and cells, ERK pathway components and regulation genes changes were included.\nRESULTS: In epirubicin treated TNBC samples and cells, we found ERK pathway components (eg. MAPK13, MAP3K1, MAPK12, MAPK11 and MAPKAPK3) were obviously enriched, also, expression of ERK pathway positive regulation genes significantly increased (P<0.05) and negative regulation genes decreased (P<0.05) in epirubicin resistant cells. Moreover, phosphorylated ERK levels were significantly elevated in MDA-MB-231 cells after epirubicin treatment.\nCONCLUSION: ERK signaling pathway was more activated in epirubicin treated TNBC, possibly contributing to the epirubicin resistance in TNBC, it implicated that ERK pathway could be used as an novel candidate for targeting therapy in refractory and relapse TNBC.", "claims": [{"id": "claim-method", "statement": "GEO datasets GSE43816 and GSE54326 were downloaded from website (https://www.ncbi.nlm.nih.gov/), GSEA, enrichment map analysis and heat map were performed with R software. Statistical analysis was done using Student's t-test, variance analysis and/or non-parametric tests. For all the tests, P<0.05 was considered as statistical significance. All statistics were calculated by SPSS 13.0 or R software.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29296238", "locator": "sections[9] \"GEO datasets, GSEA, enrichment map analysis and heatmap\" paragraph 2", "quote": "GEO datasets GSE43816 and GSE54326 were downloaded from website (https://www.ncbi.nlm.nih.gov/), GSEA, enrichment map analysis and heat map were performed with R software."}, {"asset": "source:pmid:29296238", "locator": "sections[13] \"Statistics\" paragraph 2", "quote": "Statistical analysis was done using Student's t-test, variance analysis and/or non-parametric tests."}, {"asset": "source:pmid:29296238", "locator": "sections[13] \"Statistics\" paragraph 2", "quote": "For all the tests, P<0.05 was considered as statistical significance."}, {"asset": "source:pmid:29296238", "locator": "sections[13] \"Statistics\" paragraph 2", "quote": "All statistics were calculated by SPSS 13.0 or R software."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Here we applied an online GEO dataset (GSE43816) for GSEA to discuss the molecular changes in epirubicin treated TNBC. This cohort study of 7 women with primary invasive TNBC were collected for tumor specimen before and after 4 cycles of NAC with epirubicine and cyclophosphamide, followed by 4 cycles of taxanes.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29296238", "locator": "sections[4] \"ERK pathway activation elevated in epirubicin treated TNBC samples\" paragraph 2", "quote": "Here we applied an online GEO dataset (GSE43816) for GSEA to discuss the molecular changes in epirubicin treated TNBC. This cohort study of 7 women with primary invasive TNBC were collected for tumor specimen before and after 4 cycles of NAC with epirubicine and cyclophosphamide, followed by 4 cycles of taxanes."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Using gene set enrichment analysis of the online GEO datasets GSE43816 and GSE54326, the study found that ERK signaling became more activated in epirubicin-treated TNBC, with positive-regulation gene expression increased and negative-regulation gene expression decreased at P<0.05, suggesting a possible role in epirubicin resistance.", "kind": "quantitative", "target": {"value": 0.05, "unit": "p-value", "tolerance": null, "source": "In epirubicin treated TNBC samples and cells, we found ERK pathway components (eg. MAPK13, MAP3K1, MAPK12, MAPK11 and MAPKAPK3) were obviously enriched, also, expression of ERK pathway positive regulation genes significantly increased (P<0.05) and negative regulation genes decreased (P<0.05) in epirubicin resistant cells."}, "evidence": [{"asset": "source:pmid:29296238", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Within online GEO datasets (GSE43816 and GSE54326), gene set enrichment analysis (GSEA) was performed to detect molecular changes in epirubicin treated TNBC samples and cells, ERK pathway components and regulation genes changes were included."}, {"asset": "source:pmid:29296238", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "In epirubicin treated TNBC samples and cells, we found ERK pathway components (eg. MAPK13, MAP3K1, MAPK12, MAPK11 and MAPKAPK3) were obviously enriched, also, expression of ERK pathway positive regulation genes significantly increased (P<0.05) and negative regulation genes decreased (P<0.05) in epirubicin resistant cells."}, {"asset": "source:pmid:29296238", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "ERK signaling pathway was more activated in epirubicin treated TNBC, possibly contributing to the epirubicin resistance in TNBC, it implicated that ERK pathway could be used as an novel candidate for targeting therapy in refractory and relapse TNBC."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "Using gene set enrichment analysis of the online GEO datasets GSE43816 and GSE54326, the study found that ERK signaling became more activated in epirubicin-treated TNBC, with positive-regulation gene expression increased and negative-regulation gene expression decreased at P<0.05, suggesting a possible role in epirubicin resistance.", "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:29296238"], "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:GSE43816"], "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:GSE43816"], "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:29296238", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.18632/oncotarget.22604", "sha256": "sha256:de98974766e447aa24fcd65bab805d1e57ce4efff3a4c1832580920ef64e72fe", "bytes": 22780, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.18632/oncotarget.22604", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC5746140", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE43816", "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=GSE43816", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE43816", "version": null, "note": "Here we applied an online GEO dataset (GSE43816) for GSEA to discuss the molecular changes in epirubicin treated TNBC. 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(July, 2017)", "structure": {"pmcid": "PMC5746140", "section_index": 3, "section_title": "A retrospective overview of ERK pathway inhibitors in cancer treatment", "row_count": 19, "column_count": 6}, "table": {"label": "Table 1", "caption": "Clinical trials evaluating RAS/RAF/ERK inhibitors, according to Clinical Trials.gov. (July, 2017)", "rows": [["Compound", "Combination", "Phase", "Tumor", "Results", "Author, Year"], ["Selumetinib (MEK1/2 inhibitor)", "-", "II", "Myeloma (36)", "The response rate (CR + PR) was 5.6% with a mean duration of response of 4.95 months and median progression-free survival time of 3.52 months. One patient had a very good partial response, 1 patient had a partial response, 17 patients had stable disease, 13 patients had progressive disease.", "Holkova B, 2016"], ["Vemurafenib (BRAF inhibitor)", "-", "II", "Leukemia (54)", "The overall response rates were 96% (25 of 26 patients who could be evaluated) after a median of 8 weeks in the Italian study and 100% (24 of 24) after a median of 12 weeks in the U.S. study. The rates of complete response were 35% (9 of 26 patients) and 42% (10 of 24) in the two trials, respectively.", "Tiacci E, 2015"], ["Selumetinib (MEK1/2 inhibitor)", "dacarbazine", "III", "Uveal melanoma (estimated 128)", "Ongoing", "Carvajal RD, 2015"], ["Trametinib (MEK1/2 inhibitor)", "-", "II", "NSCLC (86)", "10 (12%) patients had partial responses", "Blumenschein GR Jr, 2015"], ["Selumetinib (MEK1/2 inhibitor)", "irinotecan", "II", "Colorectal (31)", "3 patients (9.7 %) had partial response. 16 patients (51.6 %) had stable disease for ≥4 weeks, including three >1 year.", "Hochster HS, 2015"], ["Vemurafenib (BRAF inhibitor)", "", "II", "Papillary thyroid cancer (51)", "Partial responses were recorded in ten of 26 patients in cohort 1.", "Brose MS, 2016"], ["Trametinib (MEK inhibitor)", "Dabrafenib", "II", "Melanoma (23)", "Disease control rate was 45%, and median PFS was 13 weeks.", "Chen G, 2016"], ["Selumetinib (MEK1/2 inhibitor)", "", "II", "Endometrial cancer (54)", "Three (6%) patients had objective response (1 CR, 2 PR); 13 had SD as best response. The proportion of patients with 6-month EFS was 12%. Median EFS, progression-free and overall survival was 2.1, 2.3, and 8.5months, respectively.", "Coleman RL, 2015"], ["Trametinib (MEK inhibitor)", "Dabrafenib", "II", "colorectal cancer (43)", "Five (12%) achieved a partial response or better, including one (2%) complete response, with duration of response > 36 months; 24 patients (56%) achieved stable disease as best confirmed response.", "Corcoran RB, 2015"], ["Binimetinib (MEK inhibitor)", "", "III", "Melanoma (402)", "Median progression-free survival was 2·8 months in the binimetinib group and 1·5 months in the dacarbazine group.", "Dummer R, 2017"], ["Selumetinib (MEK inhibitor)", "temsirolimus", "II", "Soft-tissue sarcomas (71)", "There was no difference in PFS between the two arms for the overall cohort; an improved median PFS was observed in the combination arm (N = 11) over single agent (N = 10) in the prespecified leiomyosarcoma stratum. Four-month PFS rate was 50% with the combination vs 0% with selumetinib alone in the leiomyosarcoma cohort.", "Eroglu Z, 2015"], ["Selumetinib (MEK1/2 inhibitor)", "Erlotinib", "II", "Pancreatic Adenocarcinoma (46)", "Although no objective responses were observed, 19 patients (41%) showed evidence of stable disease for ≥6 weeks, and 13 of 34 patients (38%) had a CA19-9 decline ≥50%. Median progression-free survival was 1.9 months, with a median overall survival of 7.3 months.", "Ko AH, 2016"], ["Vemurafenib (BRAF inhibitor)", "II", "", "Colorectal (21)", "Of the 21 patients treated, one patient had a confirmed partial response and seven other patients had stable disease by RECIST criteria. Median progression- free survival was 2.1 months.", "Kopetz S, 2015"], ["Trametinib (MEK1/MEK2 inhibitor)", "", "III", "Melanoma (322)", "The intent-to-treat (ITT) analysis estimated a 28% reduction in the hazard of death with trametinib treatment for patients in the primary efficacy population. Adjustment analyses deemed plausible provided OS HR point estimates ranging from 0.48 to 0.53. Similar reductions in the HR were estimated for the first-line metastatic subgroup. Treatment with trametinib, compared with chemotherapy, significantly reduced the risk of death and risk of disease progression in patients with BRAF V600E/K mutation-positive advanced melanoma or MM.", "Latimer NR, 2016"], ["Trametinib (MEK inhibitors) Dabrafenib (BRAF inhibitor)", "", "II", "NSCLC(57)", "Thirty-six patients (63·2%) achieved an investigator-assessed overall response", "Planchard D, 2016"], ["Dabrafenib (BRAF inhibitor)", "", "II", "NSCLC(84)", "Twenty-six of the 78 previously treated patients achieved an investigator-assessed overall response (33%). Four of the six previously untreated patients had an objective response.", "Planchard D, 2016"], ["Dabrafenib (BRAF inhibitor) and Trametinib (MEK inhibitor)", "", "III", "Melanoma(704)", "The overall survival rate at 12 months was 72% in the combination-therapy group and 65% in the vemurafenib group. The prespecified interim stopping boundary was crossed, and the study was stopped for efficacy. Median progression-free survival was 11.4 months in the combination-therapy group and 7.3 months in the vemurafenib group. The objective response rate was 64% in the combination-therapy group and 51% in the vemurafenib group.", "Robert C, 2015"], ["Selumetinib (MEK 1/2 inhibitor)", "Fulvestrant", "II", "Breast(46)", "Recruitment was interrupted because the selumetinib-fulvestrant arm did not reach the pre-specified DCR. DCR was 23% in the selumetinib arm and 50%in the placebo arm. Median progression-free survival was 3.7months in the selumetinib arm and 5.6months in the placebo arm. Median time to treatment failure was 5.1 and 5.6 months, respectively.", "Zaman K, 2015"]], "row_count": 19, "column_count": 6, "numeric_cells": 60, "header_rows": 1, "locator": "section[3]/table-wrap[1]#T1"}}, {"id": "asset:table:pmid:29296238:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:0660b91d729d83dfec017089f710b4647e199c3d5df497ff248156524db95f90", "bytes": 857, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[4]/table-wrap[1]#T2", "version": null, "note": "MAPK family gene enriched in ERKsignaling pathway after neoadjuvant chemotherapy", "structure": {"pmcid": "PMC5746140", "section_index": 4, "section_title": "ERK pathway activation elevated in epirubicin treated TNBC samples", "row_count": 9, "column_count": 5}, "table": {"label": "Table 2", "caption": "MAPK family gene enriched in ERKsignaling pathway after neoadjuvant chemotherapy", "rows": [["Probe", "Gene title", "Rank metric score", "Running ES", "Core enrichment"], ["KEGG_ MAPK signaling pathway"], ["MAPK10", "mitogen-activated protein kinase 10", "0.203", "0.1633", "Yes"], ["MAPK13", "mitogen-activated protein kinase 13", "0.113", "0.2426", "Yes"], ["MAPK11", "mitogen-activated protein kinase 11", "0.082", "0.2517", "Yes"], ["MAPKAPK3", "mitogen-activated protein kinase-activated protein kinase 3", "0.056", "0.2966", "Yes"], ["REACTOME_MAPK_TARGETS_NUCLEAR_EVENTS_MEDIATED_BY_MAP_KINASES"], ["MAPK10", "mitogen-activated protein kinase 10", "0.203", "0.4514", "Yes"], ["MAPK11", "mitogen-activated protein kinase 11", "0.082", "0.5460", "Yes"]], "row_count": 9, "column_count": 5, "numeric_cells": 23, "header_rows": 1, "locator": "section[4]/table-wrap[1]#T2"}}, {"id": "asset:table:pmid:29296238:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:a752fc96adcbcc36f5d4a737d581f2877a13e30960796501f39c2da9cc9a5ead", "bytes": 1798, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[5]/table-wrap[1]#T3", "version": null, "note": "MAPK family gene enriched in ERK signaling pathway in epirubicin resistant MDA-MB-231 cells", "structure": {"pmcid": "PMC5746140", "section_index": 5, "section_title": "ERK pathway activation enhanced in epirubicin resistant TNBC cells", "row_count": 20, "column_count": 5}, "table": {"label": "Table 3", "caption": "MAPK family gene enriched in ERK signaling pathway in epirubicin resistant MDA-MB-231 cells", "rows": [["Probe", "Gene title", "Rank metric score", "Running ES", "Core enrichment"], ["KEGG_ MAPK signaling pathway"], ["MAPK8IP3", "mitogen-activated protein kinase 8 interacting protein 3", "2.315", "0.0635", "Yes"], ["MAPK13", "mitogen-activated protein kinase 13", "1.662", "0.1400", "Yes"], ["MAP3K14", "mitogen-activated protein kinase kinasekinase 14", "1.502", "0.1608", "Yes"], ["MAP3K1", "mitogen-activated protein kinase kinasekinase 1", "1.151", "0.2085", "Yes"], ["MAPKAPK3", "mitogen-activated protein kinase-activated protein kinase 3", "1.055", "0.2247", "Yes"], ["MAPK3", "mitogen-activated protein kinase 3", "1.039", "0.2289", "Yes"], ["MAPK12", "mitogen-activated protein kinase 12", "1.038", "0.2352", "Yes"], ["MAP4K2", "mitogen-activated protein kinase kinasekinasekinase 2", "1.006", "0.2440", "Yes"], ["MAP4K3", "mitogen-activated protein kinase kinasekinasekinase 3", "0.916", "0.2595", "Yes"], ["MAP2K6", "mitogen-activated protein kinase kinase 6", "0.909", "0.2636", "Yes"], ["MAPK11", "mitogen-activated protein kinase 11", "0.850", "0.2689", "Yes"], ["MAP3K8", "mitogen-activated protein kinase kinasekinase 8", "0.569", "0.2737", "Yes"], ["MAP2K3", "mitogen-activated protein kinase kinase 3", "0.499", "0.2806", "Yes"], ["REACTOME_ACTIVATED_TAK1_MEDIATES_P38_MAPK_ACTIVATION"], ["MAPKAPK3", "mitogen-activated protein kinase-activated protein kinase 3", "1.055", "0.1597", "Yes"], ["MAP2K6", "mitogen-activated protein kinase kinase 6", "0.909", "0.2390", "Yes"], ["MAPK11", "mitogen-activated protein kinase 11", "0.850", "0.3228", "Yes"], ["MAP2K3", "mitogen-activated protein kinase kinase 3", "0.499", "0.4379", "Yes"]], "row_count": 20, "column_count": 5, "numeric_cells": 57, "header_rows": 1, "locator": "section[5]/table-wrap[1]#T3"}}], "gaps": ["asset:data:geo:GSE43816 not downloaded", "asset:data:geo:GSE43816 licence not read", "asset:data:geo:GSE54326 not downloaded", "asset:data:geo:GSE54326 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "group_comparison", "specific": "student_t_test", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["student_t"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 1.0, "band": "reordered", "quote": "GEO datasets GSE43816 and GSE54326 were downloaded from website (https://www.ncbi.nlm.nih.gov/), GSEA, enrichment map analysis and heat map were performed with R software. Statistical analysis was done using Student's t-test, variance analysis and/or non-parametric tests. For all the tests, P<0.05 was considered as statistical significance. All statistics were calculated by SPSS 13.0 or R software."}}], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": "student_t", "expected_value": 0.05, "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": ["method.student_t"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": false, "required_operations": [], "missing_operations": ["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": {"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": {"tier": "R1", "reachable": true, "accessions": ["GSE43816", "GSE54326"], "resolved_accessions": ["GSE43816", "GSE54326"], "statements": ["Here we applied an online GEO dataset (GSE43816) for GSEA to discuss the molecular changes in epirubicin treated TNBC. This cohort study of 7 women with primary invasive TNBC were collected for tumor specimen before and after 4 cycles of NAC with epirubicine and cyclophosphamide, followed by 4 cycles of taxanes."], "basis": "The paper names GSE43816, GSE54326 in GEO and the accession resolves in the repository. 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