Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:27903973

Association of a cytarabine chemosensitivity related gene expression signature with survival in cytogenetically normal acute myeloid leukemia.

Han Yan · Lu Wen · Dan Tan · Pan Xie · Feng-Mei Pang · Hong-Hao Zhou · Wei Zhang · Zhao-Qian Liu · Jie Tang · Xi Li · Xiao-Ping Chen

Oncotarget · 2017 doi:10.18632/oncotarget.13650

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:27903973
kind
science-record
content_hash
sha256:f88b667a487bc5e48175682acab842bf638756ae045303519b374c10a83af255
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:40:21Z
updated_at
2026-11-01T21:59:13Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Association of a cytarabine chemosensitivity related gene expression signature with survival in cytogenetically normal acute myeloid leukemia.
doi
10.18632/oncotarget.13650
pmid
27903973
authors array · 11 items
[0]
Han Yan
[1]
Lu Wen
[2]
Dan Tan
[3]
Pan Xie
[4]
Feng-Mei Pang
[5]
Hong-Hao Zhou
[6]
Wei Zhang
[7]
Zhao-Qian Liu
[8]
Jie Tang
[9]
Xi Li
[10]
Xiao-Ping Chen
journal
Oncotarget
year
2017
abstract
The prognosis of cytogenetically normal acute myeloid leukemia (CN-AML) varies greatly among patients. Achievement of complete remission (CR) after chemotherapy is indispensable for a better prognosis. To develop a gene signature predicting overall survival (OS) in CN-AML, we performed data mining procedure based on whole genome expression data of both blood cancer cell lines and AML patients from open access database. A gene expression signature including 42 probes was derived. These probes were significantly associated with both cytarabine half maximal inhibitory concentration values in blood cancer cell lines and OS in CN-AML patients. By using cox regression analysis and linear regression analysis, a chemo-sensitive score calculated algorithm based on mRNA expression levels of the 42 probes was established. The scores were associated with OS in both the training sample (p=5.13 × 10-4, HR=2.040, 95% CI: 1.364-3.051) and the validation sample (p=0.002, HR=2.528, 95% CI: 1.393-4.591) of the GSE12417 dataset from Gene Expression Omnibus. In The Cancer Genome Atlas (TCGA) CN-AML patients, higher scores were found to be associated with both worse OS (p=0.013, HR=2.442, 95% CI: 1.205-4.950) and DFS (p=0.015, HR=2.376, 95% CI: 1.181-4.779). Results of gene ontology (GO) analysis showed that all the significant GO Terms were correlated with cellular component of mitochondrion. In summary, a novel gene set that could predict prognosis of CN-AML was identified presently, which provided a new way to identify genes impacting AML chemo-sensitivity and prognosis.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
Linear-regression analysis was performed to identify probes correlated with cytarabine IC50 in 96 blood cancer cell lines. Probes with P<0.05 were then selected for analysis in the GSE12417 dataset. Multivariate cox regression analysis (including age) was conducted to confirm whether the probes affect OS of CN-AML patients. Probes exhibited significance (p<0.05) in both the linear-regression analysis and the cox regression analysis in the same direction were screened.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:27903973
locator
sections[14] "Statistical analysis" paragraph 2
quote
Linear-regression analysis was performed to identify probes correlated with cytarabine IC50 in 96 blood cancer cell lines. Probes with P<0.05 were then selected for analysis in the GSE12417 dataset. Multivariate cox regression analysis (including age) was conducted to confirm whether the probes affect OS of CN-AML patients. Probes exhibited significance (p<0.05) in both the linear-regression analysis and the cox regression analysis in the same direction were screened.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
Based on GDSC release 5.0, 96 blood cancer cell lines with both natural log transformed IC50 values of cytarabine and normalized whole genome mRNA expression levels were selected in our study (Supplementary Table S1).
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:27903973
locator
sections[11] "GDSC cell lines" paragraph 2
quote
Based on GDSC release 5.0, 96 blood cancer cell lines with both natural log transformed IC50 values of cytarabine and normalized whole genome mRNA expression levels were selected in our study (Supplementary Table S1).
state
complete
[2] object · 6 fields
id
claim-target-result
statement
Using linear-regression and Cox regression analyses of cytarabine-response and AML survival data, the study derived a 42-probe chemo-sensitivity score that predicted poor outcomes in CN-AML and was validated in TCGA.
kind
quantitative
target object · 4 fields
value
95
unit
per cent
tolerance
null
source
The scores were associated with OS in both the training sample (p=5.13 × 10−4, HR=2.040, 95% CI: 1.364-3.051) and the validation sample (p=0.002, HR=2.528, 95% CI: 1.393-4.591) of the GSE12417 dataset from Gene Expression Omnibus.
evidence array · 6 items
[0] object · 3 fields
asset
source:pmid:27903973
locator
sections[0] "Abstract" paragraph 1
quote
By using cox regression analysis and linear regression analysis, a chemo-sensitive score calculated algorithm based on mRNA expression levels of the 42 probes was established.
[1] object · 3 fields
asset
source:pmid:27903973
locator
sections[0] "Abstract" paragraph 1
quote
The scores were associated with OS in both the training sample (p=5.13 × 10−4, HR=2.040, 95% CI: 1.364-3.051) and the validation sample (p=0.002, HR=2.528, 95% CI: 1.393-4.591) of the GSE12417 dataset from Gene Expression Omnibus.
[2] object · 3 fields
asset
source:pmid:27903973
locator
sections[0] "Abstract" paragraph 1
quote
In The Cancer Genome Atlas (TCGA) CN-AML patients, higher scores were found to be associated with both worse OS (p=0.013, HR=2.442, 95% CI: 1.205-4.950) and DFS (p=0.015, HR=2.376, 95% CI: 1.181-4.779).
[3] object · 3 fields
asset
source:pmid:27903973
locator
sections[1] "INTRODUCTION" paragraph 5
quote
To find out whether genes correlated with chemo-sensitivity could also predict the outcome of AML, we downloaded IC50 values of cytarabine from 96 leukemia cell lines and raw whole genome expression data of these cell lines from GDSC in this study.
[4] object · 3 fields
asset
source:pmid:27903973
locator
sections[1] "INTRODUCTION" paragraph 5
quote
Probes significantly associated with IC50 levels in the cells and OS in GSE12417 dataset, a whole genome expression dataset for CN-AML in NCBI Gene Expression Omnibus (GEO), were selected.
[5] object · 3 fields
asset
source:pmid:27903973
locator
sections[1] "INTRODUCTION" paragraph 5
quote
Based on the selected probes, chemo-sensitivity score was derived and replicated in a TCGA CN-AML dataset.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
Using linear-regression and Cox regression analyses of cytarabine-response and AML survival data, the study derived a 42-probe chemo-sensitivity score that predicted poor outcomes in CN-AML and was validated in TCGA.
steps array · 3 items
[0] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:27903973
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE12417
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the published analysis
kind
analysis
state
complete
blocked_on
null
description
Apply the paper's statistical method to the resolved series and compare the result with the published target.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE12417
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 5 items
[0] object · 15 fields
id
source:pmid:27903973
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.18632/oncotarget.13650
sha256
sha256:d4cc716225791212d830b0e582acf17031ae5d28b86e8b6e14a231c96870267e
bytes
36837
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.18632/oncotarget.13650
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC5352074
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE12417
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=GSE12417
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE12417
version
null
note
Based on GDSC release 5.0, 96 blood cancer cell lines with both natural log transformed IC50 values of cytarabine and normalized whole genome mRNA expression levels were selected in our study (Supplementary Table S1).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Based on GDSC release 5.0, 96 blood cancer cell lines with both natural log transformed IC50 values of cytarabine and normalized whole genome mRNA expression levels were selected in our study (Supplementary Table S1).
access_statement_kind
repository_route_statement
sample_accessions array · 405 items
[0]
GSM311598
[1]
GSM311599
[2]
GSM311600
[3]
GSM311601
[4]
GSM311602
[5]
GSM311603
[6]
GSM311604
[7]
GSM311605
[8]
GSM311606
[9]
GSM311607
[10]
GSM311608
[11]
GSM311609
[12]
GSM311610
[13]
GSM311611
[14]
GSM311612
[15]
GSM311613
[16]
GSM311614
[17]
GSM311615
[18]
GSM311616
[19]
GSM311617
[20]
GSM311618
[21]
GSM311619
[22]
GSM311620
[23]
GSM311621
[24]
GSM311622
[25]
GSM311623
[26]
GSM311624
[27]
GSM311625
[28]
GSM311626
[29]
GSM311627
[30]
GSM311628
[31]
GSM311629
[32]
GSM311630
[33]
GSM311631
[34]
GSM311632
[35]
GSM311633
[36]
GSM311634
[37]
GSM311635
[38]
GSM311636
[39]
GSM311637
[40]
GSM311638
[41]
GSM311639
[42]
GSM311640
[43]
GSM311641
[44]
GSM311642
[45]
GSM311643
[46]
GSM311644
[47]
GSM311645
[48]
GSM311646
[49]
GSM311647
[50]
GSM311648
[51]
GSM311649
[52]
GSM311650
[53]
GSM311651
[54]
GSM311652
[55]
GSM311653
[56]
GSM311654
[57]
GSM311655
[58]
GSM311656
[59]
GSM311657
[60]
GSM311658
[61]
GSM311659
[62]
GSM311660
[63]
GSM311661
[64]
GSM311662
[65]
GSM311663
[66]
GSM311664
[67]
GSM311665
[68]
GSM311666
[69]
GSM311667
[70]
GSM311668
[71]
GSM311669
[72]
GSM311670
[73]
GSM311671
[74]
GSM311672
[75]
GSM311673
[76]
GSM311674
[77]
GSM311675
[78]
GSM311676
[79]
GSM311677
[80]
GSM311678
[81]
GSM311679
[82]
GSM311680
[83]
GSM311681
[84]
GSM311682
[85]
GSM311683
[86]
GSM311684
[87]
GSM311685
[88]
GSM311686
[89]
GSM311687
[90]
GSM311688
[91]
GSM311689
[92]
GSM311690
[93]
GSM311691
[94]
GSM311692
[95]
GSM311693
[96]
GSM311694
[97]
GSM311695
[98]
GSM311696
[99]
GSM311697
[100]
GSM311698
[101]
GSM311699
[102]
GSM311700
[103]
GSM311701
[104]
GSM311702
[105]
GSM311703
[106]
GSM311704
[107]
GSM311705
[108]
GSM311706
[109]
GSM311707
[110]
GSM311708
[111]
GSM311709
[112]
GSM311710
[113]
GSM311711
[114]
GSM311712
[115]
GSM311713
[116]
GSM311714
[117]
GSM311715
[118]
GSM311716
[119]
GSM311717
[120]
GSM311718
[121]
GSM311719
[122]
GSM311720
[123]
GSM311721
[124]
GSM311722
[125]
GSM311723
[126]
GSM311724
[127]
GSM311725
[128]
GSM311726
[129]
GSM311727
[130]
GSM311728
[131]
GSM311729
[132]
GSM311730
[133]
GSM311731
[134]
GSM311732
[135]
GSM311733
[136]
GSM311734
[137]
GSM311735
[138]
GSM311736
[139]
GSM311737
[140]
GSM311738
[141]
GSM311739
[142]
GSM311740
[143]
GSM311741
[144]
GSM311742
[145]
GSM311743
[146]
GSM311744
[147]
GSM311745
[148]
GSM311746
[149]
GSM311747
[150]
GSM311748
[151]
GSM311749
[152]
GSM311750
[153]
GSM311751
[154]
GSM311752
[155]
GSM311753
[156]
GSM311754
[157]
GSM311755
[158]
GSM311756
[159]
GSM311757
[160]
GSM311758
[161]
GSM311759
[162]
GSM311760
[163]
GSM311761
[164]
GSM311762
[165]
GSM311763
[166]
GSM311764
[167]
GSM311765
[168]
GSM311766
[169]
GSM311767
[170]
GSM311768
[171]
GSM311769
[172]
GSM311770
[173]
GSM311771
[174]
GSM311772
[175]
GSM311773
[176]
GSM311774
[177]
GSM311775
[178]
GSM311776
[179]
GSM311777
[180]
GSM311778
[181]
GSM311779
[182]
GSM311780
[183]
GSM311781
[184]
GSM311782
[185]
GSM311783
[186]
GSM311784
[187]
GSM311785
[188]
GSM311786
[189]
GSM311787
[190]
GSM311788
[191]
GSM311789
[192]
GSM311790
[193]
GSM311791
[194]
GSM311792
[195]
GSM311793
[196]
GSM311794
[197]
GSM311795
[198]
GSM311796
[199]
GSM311797
[200]
GSM311798
[201]
GSM311799
[202]
GSM311800
[203]
GSM311801
[204]
GSM311802
[205]
GSM311803
[206]
GSM311804
[207]
GSM311805
[208]
GSM311806
[209]
GSM311807
[210]
GSM311808
[211]
GSM311809
[212]
GSM311810
[213]
GSM311811
[214]
GSM311812
[215]
GSM311813
[216]
GSM311814
[217]
GSM311815
[218]
GSM311816
[219]
GSM311817
[220]
GSM311818
[221]
GSM311819
[222]
GSM311820
[223]
GSM311821
[224]
GSM311822
[225]
GSM311823
[226]
GSM311824
[227]
GSM311825
[228]
GSM311826
[229]
GSM311827
[230]
GSM311828
[231]
GSM311829
[232]
GSM311830
[233]
GSM311831
[234]
GSM311832
[235]
GSM311833
[236]
GSM311834
[237]
GSM311835
[238]
GSM311836
[239]
GSM311837
[240]
GSM311838
[241]
GSM311839
[242]
GSM311840
[243]
GSM311841
[244]
GSM311842
[245]
GSM311843
[246]
GSM311844
[247]
GSM311845
[248]
GSM311846
[249]
GSM311847
[250]
GSM311848
[251]
GSM311849
[252]
GSM311850
[253]
GSM311851
[254]
GSM311852
[255]
GSM311853
[256]
GSM311854
[257]
GSM311855
[258]
GSM311856
[259]
GSM311857
[260]
GSM311858
[261]
GSM311859
[262]
GSM311860
[263]
GSM311861
[264]
GSM311862
[265]
GSM311863
[266]
GSM311864
[267]
GSM311865
[268]
GSM311866
[269]
GSM311867
[270]
GSM311868
[271]
GSM311869
[272]
GSM311870
[273]
GSM311871
[274]
GSM311872
[275]
GSM311873
[276]
GSM311874
[277]
GSM311875
[278]
GSM311876
[279]
GSM311877
[280]
GSM311878
[281]
GSM311879
[282]
GSM311880
[283]
GSM311881
[284]
GSM311882
[285]
GSM311883
[286]
GSM311884
[287]
GSM311885
[288]
GSM311886
[289]
GSM311887
[290]
GSM311888
[291]
GSM311889
[292]
GSM311890
[293]
GSM311891
[294]
GSM311892
[295]
GSM311893
[296]
GSM311894
[297]
GSM311895
[298]
GSM311896
[299]
GSM311897
[300]
GSM311898
[301]
GSM311899
[302]
GSM311900
[303]
GSM311901
[304]
GSM311902
[305]
GSM311903
[306]
GSM311904
[307]
GSM311905
[308]
GSM311906
[309]
GSM311907
[310]
GSM311908
[311]
GSM311909
[312]
GSM311910
[313]
GSM311911
[314]
GSM311912
[315]
GSM311913
[316]
GSM311914
[317]
GSM311915
[318]
GSM311916
[319]
GSM311917
[320]
GSM311918
[321]
GSM311919
[322]
GSM311920
[323]
GSM311921
[324]
GSM311922
[325]
GSM311923
[326]
GSM316652
[327]
GSM316653
[328]
GSM316654
[329]
GSM316655
[330]
GSM316656
[331]
GSM316657
[332]
GSM316658
[333]
GSM316659
[334]
GSM316660
[335]
GSM316661
[336]
GSM316662
[337]
GSM316663
[338]
GSM316664
[339]
GSM316665
[340]
GSM316666
[341]
GSM316667
[342]
GSM316668
[343]
GSM316669
[344]
GSM316670
[345]
GSM316671
[346]
GSM316672
[347]
GSM316673
[348]
GSM316674
[349]
GSM316675
[350]
GSM316676
[351]
GSM316677
[352]
GSM316678
[353]
GSM316679
[354]
GSM316680
[355]
GSM316681
[356]
GSM316682
[357]
GSM316683
[358]
GSM316684
[359]
GSM316685
[360]
GSM316686
[361]
GSM316687
[362]
GSM316688
[363]
GSM316689
[364]
GSM316690
[365]
GSM316691
[366]
GSM316692
[367]
GSM316693
[368]
GSM316694
[369]
GSM316695
[370]
GSM316696
[371]
GSM316697
[372]
GSM316698
[373]
GSM316699
[374]
GSM316700
[375]
GSM316701
[376]
GSM316702
[377]
GSM316703
[378]
GSM316704
[379]
GSM316705
[380]
GSM316706
[381]
GSM316707
[382]
GSM316708
[383]
GSM316709
[384]
GSM316710
[385]
GSM316711
[386]
GSM316712
[387]
GSM316713
[388]
GSM316714
[389]
GSM316715
[390]
GSM316716
[391]
GSM316717
[392]
GSM316718
[393]
GSM316719
[394]
GSM316720
[395]
GSM316721
[396]
GSM316722
[397]
GSM316723
[398]
GSM316724
[399]
GSM316725
[400]
GSM316726
[401]
GSM316727
[402]
GSM316728
[403]
GSM316729
[404]
GSM316730
sample_count
405
group_sizes
null
group_sizes_basis
null
platform
570;96;97
taxon
Homo sapiens
title
Prognostic gene signature for normal karyotype AML
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 16 fields
id
asset:table:pmid:27903973:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:6a139be4030befe6b5e9d123c06ae2faceff252088f136c735bca0784742aca8
bytes
3980
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[5]/table-wrap[1]#T1
version
null
note
Statistical analysis results for the 42 probes in blood cancer cell lines and in the GSE12417 dataset
structure object · 5 fields
pmcid
PMC5352074
section_index
5
section_title
A 42 probe set correlated with both cytarabine sensitivity and AML OS
row_count
45
column_count
9
table object · 8 fields
label
Table 1
caption
Statistical analysis results for the 42 probes in blood cancer cell lines and in the GSE12417 dataset
rows array · 45 items
[0] array · 5 items
[0]
Gene
[1]
Probe name
[2]
GDSC Blood cancer cell lines
[3]
GSE12417
[4]
Prognostic Index
[1] array · 4 items
[0]
p value
[1]
t value
[2]
U133AB sample
[3]
U133 Plus sample
[2] array · 4 items
[0]
p value
[1]
Z value
[2]
p value
[3]
Z value
[3] array · 9 items
[0]
ULK1
[1]
209333_at
[2]
1.44E-05
[3]
−4.578
[4]
0.045
[5]
−2.004
[6]
0.018
[7]
−2.362
[8]
−0.309
[4] array · 9 items
[0]
PIGF
[1]
205078_at
[2]
2.54E-05
[3]
4.431
[4]
0.043
[5]
2.020
[6]
0.041
[7]
2.045
[8]
0.193
[5] array · 9 items
[0]
ABCC5
[1]
209380_s_at
[2]
9.26E-05
[3]
−4.085
[4]
0.011
[5]
−2.541
[6]
0.035
[7]
−2.109
[8]
−0.336
[6] array · 9 items
[0]
MRPL40
[1]
203152_at
[2]
9.84E-05
[3]
4.069
[4]
0.003
[5]
2.959
[6]
0.018
[7]
2.366
[8]
0.253
[7] array · 9 items
[0]
DARS2
[1]
218365_s_at
[2]
1.60E-04
[3]
3.934
[4]
0.046
[5]
1.992
[6]
0.011
[7]
2.532
[8]
0.193
[8] array · 9 items
[0]
ITSN1
[1]
35776_at
[2]
2.27E-04
[3]
−3.835
[4]
0.027
[5]
−2.208
[6]
0.041
[7]
−2.041
[8]
−0.274
[9] array · 9 items
[0]
ZC3HAV1
[1]
213051_at
[2]
4.09E-04
[3]
−3.665
[4]
0.032
[5]
−2.149
[6]
0.017
[7]
−2.397
[8]
−0.355
[10] array · 9 items
[0]
NDUFB5
[1]
203621_at
[2]
5.32E-04
[3]
3.588
[4]
0.003
[5]
3.022
[6]
0.004
[7]
2.865
[8]
0.341
[11] array · 9 items
[0]
SKAP2
[1]
204361_s_at
[2]
7.54E-04
[3]
3.483
[4]
0.025
[5]
2.243
[6]
0.038
[7]
2.072
[8]
0.186
[12] array · 9 items
[0]
ZNF451
[1]
215012_at
[2]
0.001
[3]
−3.367
[4]
0.038
[5]
−2.070
[6]
0.005
[7]
−2.821
[8]
−0.316
[13] array · 9 items
[0]
IARS2
[1]
217900_at
[2]
0.002
[3]
3.197
[4]
0.010
[5]
2.562
[6]
0.018
[7]
2.358
[8]
0.212
[14] array · 9 items
[0]
MPP1
[1]
202974_at
[2]
0.003
[3]
−3.049
[4]
0.018
[5]
−2.367
[6]
0.044
[7]
−2.010
[8]
−0.363
[15] array · 9 items
[0]
ZNF259P1/ZPR1
[1]
217185_s_at
[2]
0.004
[3]
2.961
[4]
0.003
[5]
3.023
[6]
0.011
[7]
2.541
[8]
0.231
[16] array · 9 items
[0]
BCL2L1
[1]
212312_at
[2]
0.004
[3]
−2.916
[4]
0.022
[5]
−2.288
[6]
0.042
[7]
−2.032
[8]
−0.309
[17] array · 9 items
[0]
CHMP4A/TM9SF1
[1]
218572_at
[2]
0.006
[3]
2.836
[4]
0.026
[5]
2.219
[6]
0.047
[7]
1.987
[8]
0.197
[18] array · 9 items
[0]
GAS2
[1]
205848_at
[2]
0.007
[3]
2.744
[4]
0.029
[5]
2.185
[6]
0.001
[7]
3.403
[8]
0.191
[19] array · 9 items
[0]
ME2
[1]
210154_at
[2]
0.008
[3]
2.715
[4]
0.021
[5]
2.307
[6]
0.016
[7]
2.412
[8]
0.221
[20] array · 9 items
[0]
ALCAM
[1]
201951_at
[2]
0.008
[3]
2.710
[4]
0.000
[5]
3.634
[6]
0.000
[7]
5.064
[8]
0.363
[21] array · 9 items
[0]
DNAJC1
[1]
218409_s_at
[2]
0.009
[3]
2.675
[4]
0.005
[5]
2.791
[6]
0.023
[7]
2.282
[8]
0.259
[22] array · 9 items
[0]
VDAC1
[1]
212038_s_at
[2]
0.009
[3]
2.673
[4]
0.005
[5]
2.804
[6]
0.018
[7]
2.376
[8]
0.213
[23] array · 9 items
[0]
SLC25A38
[1]
217961_at
[2]
0.009
[3]
−2.648
[4]
0.011
[5]
−2.540
[6]
0.016
[7]
−2.420
[8]
−0.314
[24] array · 9 items
[0]
IL6R
[1]
205945_at
[2]
0.010
[3]
2.636
[4]
0.003
[5]
2.986
[6]
0.022
[7]
2.282
[8]
0.260
[25] array · 9 items
[0]
ME2
[1]
210153_s_at
[2]
0.012
[3]
2.568
[4]
0.018
[5]
2.367
[6]
0.002
[7]
3.053
[8]
0.254
[26] array · 9 items
[0]
ETFDH
[1]
33494_at
[2]
0.013
[3]
2.527
[4]
0.040
[5]
2.058
[6]
0.043
[7]
2.020
[8]
0.158
[27] array · 9 items
[0]
TAL1
[1]
206283_s_at
[2]
0.017
[3]
−2.441
[4]
0.036
[5]
−2.092
[6]
0.027
[7]
−2.216
[8]
−0.339
[28] array · 9 items
[0]
TAL1
[1]
216925_s_at
[2]
0.017
[3]
−2.427
[4]
0.011
[5]
−2.541
[6]
0.032
[7]
−2.147
[8]
−0.381
[29] array · 9 items
[0]
BMP2K
[1]
219546_at
[2]
0.017
[3]
−2.420
[4]
0.013
[5]
−2.486
[6]
0.033
[7]
−2.137
[8]
−0.308
[30] array · 9 items
[0]
FH
[1]
203033_x_at
[2]
0.019
[3]
2.379
[4]
0.016
[5]
2.399
[6]
0.033
[7]
2.131
[8]
0.213
[31] array · 9 items
[0]
SLC14A1
[1]
205856_at
[2]
0.021
[3]
−2.353
[4]
0.037
[5]
−2.091
[6]
0.048
[7]
−1.974
[8]
−0.356
[32] array · 9 items
[0]
SPATS2
[1]
218324_s_at
[2]
0.021
[3]
2.338
[4]
0.023
[5]
2.268
[6]
0.017
[7]
2.391
[8]
0.272
[33] array · 9 items
[0]
P4HTM
[1]
222125_s_at
[2]
0.026
[3]
2.269
[4]
0.013
[5]
2.478
[6]
0.029
[7]
2.184
[8]
0.212
[34] array · 9 items
[0]
PLA2G4A
[1]
210145_at
[2]
0.031
[3]
2.195
[4]
0.007
[5]
2.689
[6]
0.023
[7]
2.281
[8]
0.242
[35] array · 9 items
[0]
TRIB2
[1]
202478_at
[2]
0.031
[3]
−2.184
[4]
0.030
[5]
−2.174
[6]
0.033
[7]
−2.126
[8]
−0.310
[36] array · 9 items
[0]
ACYP2/LOC101927144
[1]
206833_s_at
[2]
0.032
[3]
2.182
[4]
0.008
[5]
2.636
[6]
0.030
[7]
2.167
[8]
0.321
[37] array · 9 items
[0]
SYNCRIP
[1]
217834_s_at
[2]
0.033
[3]
2.166
[4]
0.025
[5]
2.239
[6]
0.007
[7]
2.691
[8]
0.211
[38] array · 9 items
[0]
IDH3A
[1]
202069_s_at
[2]
0.033
[3]
2.161
[4]
0.012
[5]
2.509
[6]
0.014
[7]
2.466
[8]
0.215
[39] array · 9 items
[0]
TPD52
[1]
201688_s_at
[2]
0.033
[3]
2.161
[4]
0.004
[5]
2.895
[6]
0.008
[7]
2.662
[8]
0.268
[40] array · 9 items
[0]
HIST1H2APS4
[1]
216585_at
[2]
0.033
[3]
2.160
[4]
0.038
[5]
2.072
[6]
0.005
[7]
2.795
[8]
0.229
[41] array · 9 items
[0]
ERMP1
[1]
218342_s_at
[2]
0.036
[3]
2.124
[4]
0.034
[5]
2.119
[6]
0.038
[7]
2.072
[8]
0.217
[42] array · 9 items
[0]
SLC25A37
[1]
221920_s_at
[2]
0.038
[3]
−2.099
[4]
0.016
[5]
−2.413
[6]
0.027
[7]
−2.213
[8]
−0.368
[43] array · 9 items
[0]
TCTN3
[1]
212121_at
[2]
0.046
[3]
2.026
[4]
0.000
[5]
3.506
[6]
0.009
[7]
2.620
[8]
0.331
[44] array · 9 items
[0]
CD164
[1]
208654_s_at
[2]
0.048
[3]
2.008
[4]
0.012
[5]
2.519
[6]
0.006
[7]
2.732
[8]
0.293
locator
section[5]/table-wrap[1]#T1
[3] object · 16 fields
id
asset:table:pmid:27903973:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:8f0e39e42ec617fe6fad4941d2e396a420f1f8e0ba587fa2e76fc094c87a4c17
bytes
595
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[5]/table-wrap[2]#T2
version
null
note
Four most significantly GO terms for the selected 42 probes
structure object · 5 fields
pmcid
PMC5352074
section_index
5
section_title
A 42 probe set correlated with both cytarabine sensitivity and AML OS
row_count
5
column_count
6
table object · 8 fields
label
Table 2
caption
Four most significantly GO terms for the selected 42 probes
rows array · 5 items
[0] array · 6 items
[0]
Category
[1]
GO Term
[2]
Count
[3]
%
[4]
p value
[5]
Bonferroni
[1] array · 6 items
[0]
GOTERM_CC_FAT
[1]
GO:0044429 ~ mitochondrial part
[2]
12
[3]
30.0
[4]
1.54E-07
[5]
1.74E-05
[2] array · 6 items
[0]
GOTERM_CC_FAT
[1]
GO:0005759 ~ mitochondrial matrix
[2]
7
[3]
17.5
[4]
2.18E-05
[5]
0.002
[3] array · 6 items
[0]
GOTERM_CC_FAT
[1]
GO:0031980 ~ mitochondrial lumen
[2]
7
[3]
17.5
[4]
2.18E-05
[5]
0.002
[4] array · 6 items
[0]
GOTERM_CC_FAT
[1]
GO:0005739 ~ mitochondrion
[2]
12
[3]
30.0
[4]
5.36E-05
[5]
0.006
locator
section[5]/table-wrap[2]#T2
[4] object · 16 fields
id
asset:table:pmid:27903973:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:5166dff6e682258e67b60e093f4a0f7fd345bc68b9bfe0f71f28a822bbe2b3f2
bytes
778
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[7]/table-wrap[1]#T3
version
null
note
Comparison of chemo-sensitivity score between genotypes of well-known somatic mutations affecting AML outcome
structure object · 5 fields
pmcid
PMC5352074
section_index
7
section_title
Validation of the association between 42-probe-based chemo-sensitivity score and survival in TCGA CN-AML patients
row_count
9
column_count
6
table object · 8 fields
label
Table 3
caption
Comparison of chemo-sensitivity score between genotypes of well-known somatic mutations affecting AML outcome
rows array · 9 items
[0] array · 4 items
[0]
Mutation
[1]
Wild type
[2]
Mutation
[3]
p value
[1] array · 5 items
[0]
Score (Mean±SD)
[1]
N
[2]
Score (Mean±SD)
[3]
N
[4]
[2] array · 6 items
[0]
CEBPA
[1]
0.612±3.561
[2]
48
[3]
−2.557±3.428
[4]
5
[5]
0.063
[3] array · 6 items
[0]
DNMT3A R882
[1]
−0.109±3.396
[2]
42
[3]
1.926±4.239
[4]
11
[5]
0.099
[4] array · 6 items
[0]
FLT3-IDT
[1]
−0.185±3.705
[2]
36
[3]
1.369±3.355
[4]
17
[5]
0.148
[5] array · 6 items
[0]
IDH
[1]
0.780±3.849
[2]
39
[3]
−0.986±2.683
[4]
14
[5]
0.120
[6] array · 6 items
[0]
NPM1
[1]
−0.022±3.925
[2]
21
[3]
0.533±3.485
[4]
32
[5]
0.592
[7] array · 6 items
[0]
RUNX1
[1]
0.295±3.740
[2]
49
[3]
0.535±2.373
[4]
4
[5]
0.901
[8] array · 6 items
[0]
WT1
[1]
0.354±3.762
[2]
48
[3]
−0.076±2.379
[4]
5
[5]
0.804
locator
section[7]/table-wrap[1]#T3
gaps array · 2 items
[0]
asset:data:geo:GSE12417 not downloaded
[1]
asset:data:geo:GSE12417 licence not read
analysis object · 4 fields
state
complete
methods array · 4 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
Linear-regression analysis was performed to identify probes correlated with cytarabine IC50 in 96 blood cancer cell lines. Probes with P<0.05 were then selected for analysis in the GSE12417 dataset. Multivariate cox regression analysis (including age) was conducted to confirm whether the probes affect OS of CN-AML patients. Probes exhibited significance (p<0.05) in both the linear-regression analysis and the cox regression analysis in the same direction were screened.
[1] object · 10 fields
id
method-2
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
Kaplan-Meier
[2] object · 10 fields
id
method-3
family
regression_modelling
specific
ols
label
Regression modelling
dsl_operations array · 1 item
[0]
ols_fit
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
predictors_and_outcome
evidence object · 3 fields
score
0.7
band
medium
quote
linear regression
[3] object · 10 fields
id
method-4
family
sequence_alignment
specific
blast
label
Sequence alignment / homology
dsl_operations array · 2 items
[0]
sequence_align
[1]
alignment_identity
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
sequence_records
evidence object · 3 fields
score
0.8
band
high
quote
blast
targets array · 1 item
[0] object · 8 fields
id
target-published-estimate
claim_id
claim-target-result
operation
alignment_identity
unit
per cent
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.
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
cox_ph
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: cox_proportional_hazards.
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 · 1 item
[0]
GSE12417
resolved_accessions array · 1 item
[0]
GSE12417
statements array · 1 item
[0]
Based on GDSC release 5.0, 96 blood cancer cell lines with both natural log transformed IC50 values of cytarabine and normalized whole genome mRNA expression levels were selected in our study (Supplementary Table S1).
basis
The paper names GSE12417 in NCBI Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
cox_ph
assets array · 5 items
[0]
source:pmid:27903973
[1]
data:geo:GSE12417
[2]
asset:table:pmid:27903973:1
[3]
asset:table:pmid:27903973:2
[4]
asset:table:pmid:27903973:3
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:GSE12417
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
2026-10-31T18:30:07Z
independence
same_provider
evidence_check object · 2 fields
method
verbatim
availability
null
calls
8
usage object · 3 fields
prompt_tokens
81630
completion_tokens
6737
cached_tokens
2104
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:27903973
type
paper
label
pmid:27903973
[1] object · 3 fields
id
source:pmid:27903973
type
manuscript
label
PMID 27903973 full text
[2] object · 3 fields
id
data:geo:GSE12417
type
dataset
label
GEO GSE12417
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:27903973
type
paper
label
pmid:27903973
[1] object · 3 fields
id
source:pmid:27903973
type
manuscript
label
PMID 27903973 full text
[2] object · 3 fields
id
data:geo:GSE12417
type
dataset
label
GEO GSE12417
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-27903973
type
extraction
used array · 1 item
[0]
source:pmid:27903973
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE12417
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE12417
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:27903973
parent_hash
sha256:aa251089c12357aa70f2c24555a2104274edeac81a0a73447097d602cacb8eca
fork_of
null
gaps array · 6 items
[0]
asset:data:geo:GSE12417 licence not read
[1]
asset:data:geo:GSE12417 not downloaded
[2]
execution.not_run
[3]
review.human_critique
[4]
review.independent_reader
[5]
review.machine_critique
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
0.99
evidence array · 3 items
[0]
ect the whole genome mRNA expression levels: Affymetrix GeneChip Human Genome U133A and U133B arrays
[1]
rrays (U133 AB sample) for 163 patients, and Affymetrix GeneChip Human Genome U133 plus 2.0 array (U
[2]
ession level of this dataset was detected by Affymetrix GeneChip Human Genome U133 plus 2.0 array an
order_basis
paper_text_order:4467
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Linear-regression analysis was performed to identify probes correlated with cytarabine IC50 in 96 blood cancer cell lines. Probes with P<0.05 were then selected for analysis in the GSE12417 dataset. Multivariate cox regression analysis (including age) was conducted to confirm whether the probes affect OS of CN-AML patients. Probes exhibited significance (p<0.05) in both the linear-regression analysis and the cox regression analysis in the same direction were screened.
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:27903973", "kind": "science-record", "revision": 8, "content_hash": "sha256:f88b667a487bc5e48175682acab842bf638756ae045303519b374c10a83af255", "created_at": "2026-11-01T15:40:21Z", "updated_at": "2026-11-01T21:59:13Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Association of a cytarabine chemosensitivity related gene expression signature with survival in cytogenetically normal acute myeloid leukemia.", "doi": "10.18632/oncotarget.13650", "pmid": "27903973", "authors": ["Han Yan", "Lu Wen", "Dan Tan", "Pan Xie", "Feng-Mei Pang", "Hong-Hao Zhou", "Wei Zhang", "Zhao-Qian Liu", "Jie Tang", "Xi Li", "Xiao-Ping Chen"], "journal": "Oncotarget", "year": 2017, "abstract": "The prognosis of cytogenetically normal acute myeloid leukemia (CN-AML) varies greatly among patients. Achievement of complete remission (CR) after chemotherapy is indispensable for a better prognosis. To develop a gene signature predicting overall survival (OS) in CN-AML, we performed data mining procedure based on whole genome expression data of both blood cancer cell lines and AML patients from open access database. A gene expression signature including 42 probes was derived. These probes were significantly associated with both cytarabine half maximal inhibitory concentration values in blood cancer cell lines and OS in CN-AML patients. By using cox regression analysis and linear regression analysis, a chemo-sensitive score calculated algorithm based on mRNA expression levels of the 42 probes was established. The scores were associated with OS in both the training sample (p=5.13 × 10-4, HR=2.040, 95% CI: 1.364-3.051) and the validation sample (p=0.002, HR=2.528, 95% CI: 1.393-4.591) of the GSE12417 dataset from Gene Expression Omnibus. In The Cancer Genome Atlas (TCGA) CN-AML patients, higher scores were found to be associated with both worse OS (p=0.013, HR=2.442, 95% CI: 1.205-4.950) and DFS (p=0.015, HR=2.376, 95% CI: 1.181-4.779). Results of gene ontology (GO) analysis showed that all the significant GO Terms were correlated with cellular component of mitochondrion. In summary, a novel gene set that could predict prognosis of CN-AML was identified presently, which provided a new way to identify genes impacting AML chemo-sensitivity and prognosis.", "claims": [{"id": "claim-method", "statement": "Linear-regression analysis was performed to identify probes correlated with cytarabine IC50 in 96 blood cancer cell lines. Probes with P<0.05 were then selected for analysis in the GSE12417 dataset. Multivariate cox regression analysis (including age) was conducted to confirm whether the probes affect OS of CN-AML patients. Probes exhibited significance (p<0.05) in both the linear-regression analysis and the cox regression analysis in the same direction were screened.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:27903973", "locator": "sections[14] \"Statistical analysis\" paragraph 2", "quote": "Linear-regression analysis was performed to identify probes correlated with cytarabine IC50 in 96 blood cancer cell lines. Probes with P<0.05 were then selected for analysis in the GSE12417 dataset. Multivariate cox regression analysis (including age) was conducted to confirm whether the probes affect OS of CN-AML patients. Probes exhibited significance (p<0.05) in both the linear-regression analysis and the cox regression analysis in the same direction were screened."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Based on GDSC release 5.0, 96 blood cancer cell lines with both natural log transformed IC50 values of cytarabine and normalized whole genome mRNA expression levels were selected in our study (Supplementary Table S1).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:27903973", "locator": "sections[11] \"GDSC cell lines\" paragraph 2", "quote": "Based on GDSC release 5.0, 96 blood cancer cell lines with both natural log transformed IC50 values of cytarabine and normalized whole genome mRNA expression levels were selected in our study (Supplementary Table S1)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Using linear-regression and Cox regression analyses of cytarabine-response and AML survival data, the study derived a 42-probe chemo-sensitivity score that predicted poor outcomes in CN-AML and was validated in TCGA.", "kind": "quantitative", "target": {"value": 95.0, "unit": "per cent", "tolerance": null, "source": "The scores were associated with OS in both the training sample (p=5.13 × 10−4, HR=2.040, 95% CI: 1.364-3.051) and the validation sample (p=0.002, HR=2.528, 95% CI: 1.393-4.591) of the GSE12417 dataset from Gene Expression Omnibus."}, "evidence": [{"asset": "source:pmid:27903973", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "By using cox regression analysis and linear regression analysis, a chemo-sensitive score calculated algorithm based on mRNA expression levels of the 42 probes was established."}, {"asset": "source:pmid:27903973", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "The scores were associated with OS in both the training sample (p=5.13 × 10−4, HR=2.040, 95% CI: 1.364-3.051) and the validation sample (p=0.002, HR=2.528, 95% CI: 1.393-4.591) of the GSE12417 dataset from Gene Expression Omnibus."}, {"asset": "source:pmid:27903973", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "In The Cancer Genome Atlas (TCGA) CN-AML patients, higher scores were found to be associated with both worse OS (p=0.013, HR=2.442, 95% CI: 1.205-4.950) and DFS (p=0.015, HR=2.376, 95% CI: 1.181-4.779)."}, {"asset": "source:pmid:27903973", "locator": "sections[1] \"INTRODUCTION\" paragraph 5", "quote": "To find out whether genes correlated with chemo-sensitivity could also predict the outcome of AML, we downloaded IC50 values of cytarabine from 96 leukemia cell lines and raw whole genome expression data of these cell lines from GDSC in this study."}, {"asset": "source:pmid:27903973", "locator": "sections[1] \"INTRODUCTION\" paragraph 5", "quote": "Probes significantly associated with IC50 levels in the cells and OS in GSE12417 dataset, a whole genome expression dataset for CN-AML in NCBI Gene Expression Omnibus (GEO), were selected."}, {"asset": "source:pmid:27903973", "locator": "sections[1] \"INTRODUCTION\" paragraph 5", "quote": "Based on the selected probes, chemo-sensitivity score was derived and replicated in a TCGA CN-AML dataset."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Using linear-regression and Cox regression analyses of cytarabine-response and AML survival data, the study derived a 42-probe chemo-sensitivity score that predicted poor outcomes in CN-AML and was validated in TCGA.", "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:27903973"], "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:GSE12417"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "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:GSE12417"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:27903973", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.18632/oncotarget.13650", "sha256": "sha256:d4cc716225791212d830b0e582acf17031ae5d28b86e8b6e14a231c96870267e", "bytes": 36837, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.18632/oncotarget.13650", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC5352074", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE12417", "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=GSE12417", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE12417", "version": null, "note": "Based on GDSC release 5.0, 96 blood cancer cell lines with both natural log transformed IC50 values of cytarabine and normalized whole genome mRNA expression levels were selected in our study (Supplementary Table S1).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Based on GDSC release 5.0, 96 blood cancer cell lines with both natural log transformed IC50 values of cytarabine and normalized whole genome mRNA expression levels were selected in our study (Supplementary Table S1).", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM311598", "GSM311599", "GSM311600", "GSM311601", "GSM311602", "GSM311603", "GSM311604", "GSM311605", "GSM311606", "GSM311607", "GSM311608", "GSM311609", "GSM311610", "GSM311611", "GSM311612", "GSM311613", "GSM311614", "GSM311615", "GSM311616", "GSM311617", "GSM311618", "GSM311619", "GSM311620", "GSM311621", "GSM311622", "GSM311623", "GSM311624", "GSM311625", "GSM311626", "GSM311627", "GSM311628", "GSM311629", "GSM311630", "GSM311631", "GSM311632", "GSM311633", "GSM311634", "GSM311635", "GSM311636", "GSM311637", "GSM311638", "GSM311639", "GSM311640", "GSM311641", "GSM311642", "GSM311643", "GSM311644", "GSM311645", "GSM311646", "GSM311647", "GSM311648", "GSM311649", "GSM311650", "GSM311651", "GSM311652", "GSM311653", "GSM311654", "GSM311655", "GSM311656", "GSM311657", "GSM311658", "GSM311659", "GSM311660", "GSM311661", "GSM311662", "GSM311663", "GSM311664", "GSM311665", "GSM311666", "GSM311667", "GSM311668", "GSM311669", "GSM311670", "GSM311671", "GSM311672", "GSM311673", "GSM311674", "GSM311675", "GSM311676", "GSM311677", "GSM311678", "GSM311679", "GSM311680", "GSM311681", "GSM311682", "GSM311683", "GSM311684", "GSM311685", "GSM311686", "GSM311687", "GSM311688", "GSM311689", "GSM311690", "GSM311691", "GSM311692", "GSM311693", "GSM311694", "GSM311695", "GSM311696", "GSM311697", "GSM311698", "GSM311699", "GSM311700", "GSM311701", "GSM311702", "GSM311703", "GSM311704", "GSM311705", "GSM311706", "GSM311707", "GSM311708", "GSM311709", "GSM311710", "GSM311711", "GSM311712", "GSM311713", "GSM311714", "GSM311715", "GSM311716", "GSM311717", "GSM311718", "GSM311719", "GSM311720", "GSM311721", "GSM311722", "GSM311723", "GSM311724", "GSM311725", "GSM311726", "GSM311727", "GSM311728", "GSM311729", "GSM311730", "GSM311731", "GSM311732", "GSM311733", "GSM311734", "GSM311735", "GSM311736", "GSM311737", "GSM311738", "GSM311739", "GSM311740", "GSM311741", "GSM311742", "GSM311743", "GSM311744", "GSM311745", "GSM311746", "GSM311747", "GSM311748", "GSM311749", "GSM311750", "GSM311751", "GSM311752", "GSM311753", "GSM311754", "GSM311755", "GSM311756", "GSM311757", "GSM311758", "GSM311759", "GSM311760", "GSM311761", "GSM311762", "GSM311763", "GSM311764", "GSM311765", "GSM311766", "GSM311767", "GSM311768", "GSM311769", "GSM311770", "GSM311771", "GSM311772", "GSM311773", "GSM311774", "GSM311775", "GSM311776", "GSM311777", "GSM311778", "GSM311779", "GSM311780", "GSM311781", "GSM311782", "GSM311783", "GSM311784", "GSM311785", "GSM311786", "GSM311787", "GSM311788", "GSM311789", "GSM311790", "GSM311791", "GSM311792", "GSM311793", "GSM311794", "GSM311795", "GSM311796", "GSM311797", "GSM311798", "GSM311799", "GSM311800", "GSM311801", "GSM311802", "GSM311803", "GSM311804", "GSM311805", "GSM311806", "GSM311807", "GSM311808", "GSM311809", "GSM311810", "GSM311811", "GSM311812", "GSM311813", "GSM311814", "GSM311815", "GSM311816", "GSM311817", "GSM311818", "GSM311819", "GSM311820", "GSM311821", "GSM311822", "GSM311823", "GSM311824", "GSM311825", "GSM311826", "GSM311827", "GSM311828", "GSM311829", "GSM311830", "GSM311831", "GSM311832", "GSM311833", "GSM311834", "GSM311835", "GSM311836", "GSM311837", "GSM311838", "GSM311839", "GSM311840", "GSM311841", "GSM311842", "GSM311843", "GSM311844", "GSM311845", "GSM311846", "GSM311847", "GSM311848", "GSM311849", "GSM311850", "GSM311851", "GSM311852", "GSM311853", "GSM311854", "GSM311855", "GSM311856", "GSM311857", "GSM311858", "GSM311859", "GSM311860", "GSM311861", "GSM311862", "GSM311863", "GSM311864", "GSM311865", "GSM311866", "GSM311867", "GSM311868", "GSM311869", "GSM311870", "GSM311871", "GSM311872", "GSM311873", "GSM311874", "GSM311875", "GSM311876", "GSM311877", "GSM311878", "GSM311879", "GSM311880", "GSM311881", "GSM311882", "GSM311883", "GSM311884", "GSM311885", "GSM311886", "GSM311887", "GSM311888", "GSM311889", "GSM311890", "GSM311891", "GSM311892", "GSM311893", "GSM311894", "GSM311895", "GSM311896", "GSM311897", "GSM311898", "GSM311899", "GSM311900", "GSM311901", "GSM311902", "GSM311903", "GSM311904", "GSM311905", "GSM311906", "GSM311907", "GSM311908", "GSM311909", "GSM311910", "GSM311911", "GSM311912", "GSM311913", "GSM311914", "GSM311915", "GSM311916", "GSM311917", "GSM311918", "GSM311919", "GSM311920", "GSM311921", "GSM311922", "GSM311923", "GSM316652", "GSM316653", "GSM316654", "GSM316655", "GSM316656", "GSM316657", "GSM316658", "GSM316659", "GSM316660", "GSM316661", "GSM316662", "GSM316663", "GSM316664", "GSM316665", "GSM316666", "GSM316667", "GSM316668", "GSM316669", "GSM316670", "GSM316671", "GSM316672", "GSM316673", "GSM316674", "GSM316675", "GSM316676", "GSM316677", "GSM316678", "GSM316679", "GSM316680", "GSM316681", "GSM316682", "GSM316683", "GSM316684", "GSM316685", "GSM316686", "GSM316687", "GSM316688", "GSM316689", "GSM316690", "GSM316691", "GSM316692", "GSM316693", "GSM316694", "GSM316695", "GSM316696", "GSM316697", "GSM316698", "GSM316699", "GSM316700", "GSM316701", "GSM316702", "GSM316703", "GSM316704", "GSM316705", "GSM316706", "GSM316707", "GSM316708", "GSM316709", "GSM316710", "GSM316711", "GSM316712", "GSM316713", "GSM316714", "GSM316715", "GSM316716", "GSM316717", "GSM316718", "GSM316719", "GSM316720", "GSM316721", "GSM316722", "GSM316723", "GSM316724", "GSM316725", "GSM316726", "GSM316727", "GSM316728", "GSM316729", "GSM316730"], "sample_count": 405, "group_sizes": null, "group_sizes_basis": null, "platform": "570;96;97", "taxon": "Homo sapiens", "title": "Prognostic gene signature for normal karyotype AML", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:27903973:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:6a139be4030befe6b5e9d123c06ae2faceff252088f136c735bca0784742aca8", "bytes": 3980, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[5]/table-wrap[1]#T1", "version": null, "note": "Statistical analysis results for the 42 probes in blood cancer cell lines and in the GSE12417 dataset", "structure": {"pmcid": "PMC5352074", "section_index": 5, "section_title": "A 42 probe set correlated with both cytarabine sensitivity and AML OS", "row_count": 45, "column_count": 9}, "table": {"label": "Table 1", "caption": "Statistical analysis results for the 42 probes in blood cancer cell lines and in the GSE12417 dataset", "rows": [["Gene", "Probe name", "GDSC Blood cancer cell lines", "GSE12417", "Prognostic Index"], ["p value", "t value", "U133AB sample", "U133 Plus sample"], ["p value", "Z value", "p value", "Z value"], ["ULK1", "209333_at", "1.44E-05", "−4.578", "0.045", "−2.004", "0.018", "−2.362", "−0.309"], ["PIGF", "205078_at", "2.54E-05", "4.431", "0.043", "2.020", "0.041", "2.045", "0.193"], ["ABCC5", "209380_s_at", "9.26E-05", "−4.085", "0.011", "−2.541", "0.035", "−2.109", "−0.336"], ["MRPL40", "203152_at", "9.84E-05", "4.069", "0.003", "2.959", "0.018", "2.366", "0.253"], ["DARS2", "218365_s_at", "1.60E-04", "3.934", "0.046", "1.992", "0.011", "2.532", "0.193"], ["ITSN1", "35776_at", "2.27E-04", "−3.835", "0.027", "−2.208", "0.041", "−2.041", "−0.274"], ["ZC3HAV1", "213051_at", "4.09E-04", "−3.665", "0.032", "−2.149", "0.017", "−2.397", "−0.355"], ["NDUFB5", "203621_at", "5.32E-04", "3.588", "0.003", "3.022", "0.004", "2.865", "0.341"], ["SKAP2", "204361_s_at", "7.54E-04", "3.483", "0.025", "2.243", "0.038", "2.072", "0.186"], ["ZNF451", "215012_at", "0.001", "−3.367", "0.038", "−2.070", "0.005", "−2.821", "−0.316"], ["IARS2", "217900_at", "0.002", "3.197", "0.010", "2.562", "0.018", "2.358", "0.212"], ["MPP1", "202974_at", "0.003", "−3.049", "0.018", "−2.367", "0.044", "−2.010", "−0.363"], ["ZNF259P1/ZPR1", "217185_s_at", "0.004", "2.961", "0.003", "3.023", "0.011", "2.541", "0.231"], ["BCL2L1", "212312_at", "0.004", "−2.916", "0.022", "−2.288", "0.042", "−2.032", "−0.309"], ["CHMP4A/TM9SF1", "218572_at", "0.006", "2.836", "0.026", "2.219", "0.047", "1.987", "0.197"], ["GAS2", "205848_at", "0.007", "2.744", "0.029", "2.185", "0.001", "3.403", "0.191"], ["ME2", "210154_at", "0.008", "2.715", "0.021", "2.307", "0.016", "2.412", "0.221"], ["ALCAM", "201951_at", "0.008", "2.710", "0.000", "3.634", "0.000", "5.064", "0.363"], ["DNAJC1", "218409_s_at", "0.009", "2.675", "0.005", "2.791", "0.023", "2.282", "0.259"], ["VDAC1", "212038_s_at", "0.009", "2.673", "0.005", "2.804", "0.018", "2.376", "0.213"], ["SLC25A38", "217961_at", "0.009", "−2.648", "0.011", "−2.540", "0.016", "−2.420", "−0.314"], ["IL6R", "205945_at", "0.010", "2.636", "0.003", "2.986", "0.022", "2.282", "0.260"], ["ME2", "210153_s_at", "0.012", "2.568", "0.018", "2.367", "0.002", "3.053", "0.254"], ["ETFDH", "33494_at", "0.013", "2.527", "0.040", "2.058", "0.043", "2.020", "0.158"], ["TAL1", "206283_s_at", "0.017", "−2.441", "0.036", "−2.092", "0.027", "−2.216", "−0.339"], ["TAL1", "216925_s_at", "0.017", "−2.427", "0.011", "−2.541", "0.032", "−2.147", "−0.381"], ["BMP2K", "219546_at", "0.017", "−2.420", "0.013", "−2.486", "0.033", "−2.137", "−0.308"], ["FH", "203033_x_at", "0.019", "2.379", "0.016", "2.399", "0.033", "2.131", "0.213"], ["SLC14A1", "205856_at", "0.021", "−2.353", "0.037", "−2.091", "0.048", "−1.974", "−0.356"], ["SPATS2", "218324_s_at", "0.021", "2.338", "0.023", "2.268", "0.017", "2.391", "0.272"], ["P4HTM", "222125_s_at", "0.026", "2.269", "0.013", "2.478", "0.029", "2.184", "0.212"], ["PLA2G4A", "210145_at", "0.031", "2.195", "0.007", "2.689", "0.023", "2.281", "0.242"], ["TRIB2", "202478_at", "0.031", "−2.184", "0.030", "−2.174", "0.033", "−2.126", "−0.310"], ["ACYP2/LOC101927144", "206833_s_at", "0.032", "2.182", "0.008", "2.636", "0.030", "2.167", "0.321"], ["SYNCRIP", "217834_s_at", "0.033", "2.166", "0.025", "2.239", "0.007", "2.691", "0.211"], ["IDH3A", "202069_s_at", "0.033", "2.161", "0.012", "2.509", "0.014", "2.466", "0.215"], ["TPD52", "201688_s_at", "0.033", "2.161", "0.004", "2.895", "0.008", "2.662", "0.268"], ["HIST1H2APS4", "216585_at", "0.033", "2.160", "0.038", "2.072", "0.005", "2.795", "0.229"], ["ERMP1", "218342_s_at", "0.036", "2.124", "0.034", "2.119", "0.038", "2.072", "0.217"], ["SLC25A37", "221920_s_at", "0.038", "−2.099", "0.016", "−2.413", "0.027", "−2.213", "−0.368"], ["TCTN3", "212121_at", "0.046", "2.026", "0.000", "3.506", "0.009", "2.620", "0.331"], ["CD164", "208654_s_at", "0.048", "2.008", "0.012", "2.519", "0.006", "2.732", "0.293"]], "row_count": 45, "column_count": 9, "numeric_cells": 348, "header_rows": 3, "locator": "section[5]/table-wrap[1]#T1"}}, {"id": "asset:table:pmid:27903973:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:8f0e39e42ec617fe6fad4941d2e396a420f1f8e0ba587fa2e76fc094c87a4c17", "bytes": 595, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[5]/table-wrap[2]#T2", "version": null, "note": "Four most significantly GO terms for the selected 42 probes", "structure": {"pmcid": "PMC5352074", "section_index": 5, "section_title": "A 42 probe set correlated with both cytarabine sensitivity and AML OS", "row_count": 5, "column_count": 6}, "table": {"label": "Table 2", "caption": "Four most significantly GO terms for the selected 42 probes", "rows": [["Category", "GO Term", "Count", "%", "p value", "Bonferroni"], ["GOTERM_CC_FAT", "GO:0044429 ~ mitochondrial part", "12", "30.0", "1.54E-07", "1.74E-05"], ["GOTERM_CC_FAT", "GO:0005759 ~ mitochondrial matrix", "7", "17.5", "2.18E-05", "0.002"], ["GOTERM_CC_FAT", "GO:0031980 ~ mitochondrial lumen", "7", "17.5", "2.18E-05", "0.002"], ["GOTERM_CC_FAT", "GO:0005739 ~ mitochondrion", "12", "30.0", "5.36E-05", "0.006"]], "row_count": 5, "column_count": 6, "numeric_cells": 20, "header_rows": 1, "locator": "section[5]/table-wrap[2]#T2"}}, {"id": "asset:table:pmid:27903973:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:5166dff6e682258e67b60e093f4a0f7fd345bc68b9bfe0f71f28a822bbe2b3f2", "bytes": 778, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[7]/table-wrap[1]#T3", "version": null, "note": "Comparison of chemo-sensitivity score between genotypes of well-known somatic mutations affecting AML outcome", "structure": {"pmcid": "PMC5352074", "section_index": 7, "section_title": "Validation of the association between 42-probe-based chemo-sensitivity score and survival in TCGA CN-AML patients", "row_count": 9, "column_count": 6}, "table": {"label": "Table 3", "caption": "Comparison of chemo-sensitivity score between genotypes of well-known somatic mutations affecting AML outcome", "rows": [["Mutation", "Wild type", "Mutation", "p value"], ["Score (Mean±SD)", "N", "Score (Mean±SD)", "N", ""], ["CEBPA", "0.612±3.561", "48", "−2.557±3.428", "5", "0.063"], ["DNMT3A R882", "−0.109±3.396", "42", "1.926±4.239", "11", "0.099"], ["FLT3-IDT", "−0.185±3.705", "36", "1.369±3.355", "17", "0.148"], ["IDH", "0.780±3.849", "39", "−0.986±2.683", "14", "0.120"], ["NPM1", "−0.022±3.925", "21", "0.533±3.485", "32", "0.592"], ["RUNX1", "0.295±3.740", "49", "0.535±2.373", "4", "0.901"], ["WT1", "0.354±3.762", "48", "−0.076±2.379", "5", "0.804"]], "row_count": 9, "column_count": 6, "numeric_cells": 36, "header_rows": 2, "locator": "section[7]/table-wrap[1]#T3"}}], "gaps": ["asset:data:geo:GSE12417 not downloaded", "asset:data:geo:GSE12417 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Linear-regression analysis was performed to identify probes correlated with cytarabine IC50 in 96 blood cancer cell lines. Probes with P<0.05 were then selected for analysis in the GSE12417 dataset. Multivariate cox regression analysis (including age) was conducted to confirm whether the probes affect OS of CN-AML patients. Probes exhibited significance (p<0.05) in both the linear-regression analysis and the cox regression analysis in the same direction were screened."}}, {"id": "method-2", "family": "survival_analysis", "specific": "kaplan_meier", "label": "Survival analysis", "dsl_operations": ["survival_km"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.8, "band": "high", "quote": "Kaplan-Meier"}}, {"id": "method-3", "family": "regression_modelling", "specific": "ols", "label": "Regression modelling", "dsl_operations": ["ols_fit"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["predictors_and_outcome"], "evidence": {"score": 0.7, "band": "medium", "quote": "linear regression"}}, {"id": "method-4", "family": "sequence_alignment", "specific": "blast", "label": "Sequence alignment / homology", "dsl_operations": ["sequence_align", "alignment_identity"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["sequence_records"], "evidence": {"score": 0.8, "band": "high", "quote": "blast"}}], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": "alignment_identity", "expected_value": 95.0, "unit": "per cent", "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."}], "gaps": []}, "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": true, "required_operations": ["cox_ph"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards."}, "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": ["GSE12417"], "resolved_accessions": ["GSE12417"], "statements": ["Based on GDSC release 5.0, 96 blood cancer cell lines with both natural log transformed IC50 values of cytarabine and normalized whole genome mRNA expression levels were selected in our study (Supplementary Table S1)."], "basis": "The paper names GSE12417 in NCBI Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["cox_ph"], "assets": ["source:pmid:27903973", "data:geo:GSE12417", "asset:table:pmid:27903973:1", "asset:table:pmid:27903973:2", "asset:table:pmid:27903973:3"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE12417"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:30:07Z", "independence": "same_provider"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 8, "usage": {"prompt_tokens": 81630, "completion_tokens": 6737, "cached_tokens": 2104}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:27903973", "type": "paper", "label": "pmid:27903973"}, {"id": "source:pmid:27903973", "type": "manuscript", "label": "PMID 27903973 full text"}, {"id": "data:geo:GSE12417", "type": "dataset", "label": "GEO GSE12417"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:27903973", "type": "paper", "label": "pmid:27903973"}, {"id": "source:pmid:27903973", "type": "manuscript", "label": "PMID 27903973 full text"}, {"id": "data:geo:GSE12417", "type": "dataset", "label": "GEO GSE12417"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-27903973", "type": "extraction", "used": ["source:pmid:27903973"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE12417", "type": "accession_resolution", "used": ["data:geo:GSE12417"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"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": {"parent_id": "pmid:27903973", "parent_hash": "sha256:aa251089c12357aa70f2c24555a2104274edeac81a0a73447097d602cacb8eca", "fork_of": null, "generation": 7}, "gaps": ["asset:data:geo:GSE12417 licence not read", "asset:data:geo:GSE12417 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "microarray", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["ect the whole genome mRNA expression levels: Affymetrix GeneChip Human Genome U133A and U133B arrays", "rrays (U133 AB sample) for 163 patients, and Affymetrix GeneChip Human Genome U133 plus 2.0 array (U", "ession level of this dataset was detected by Affymetrix GeneChip Human Genome U133 plus 2.0 array an"], "order_basis": "paper_text_order:4467", "id": "assay:1"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Linear-regression analysis was performed to identify probes correlated with cytarabine IC50 in 96 blood cancer cell lines. Probes with P<0.05 were then selected for analysis in the GSE12417 dataset. Multivariate cox regression analysis (including age) was conducted to confirm whether the probes affect OS of CN-AML patients. Probes exhibited significance (p<0.05) in both the linear-regression analysis and the cox regression analysis in the same direction were screened."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}