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pmid:33747924

High Expression of CLEC11A Predicts Favorable Prognosis in Acute Myeloid Leukemia.

Chengliang Yin · Junyan Zhang · Wei Guan · Liping Dou · Yuchen Liu · Ming Shen · Xiaodong Jia · Lu Xu · Rilige Wu · Yan Li

Frontiers in oncology · 2021 doi:10.3389/fonc.2021.608932

Paper

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Experiment

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Data

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:33747924
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2026-11-01T15:41:29Z
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2026-11-01T22:46:21Z
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paper object · 10 fields
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title
High Expression of CLEC11A Predicts Favorable Prognosis in Acute Myeloid Leukemia.
doi
10.3389/fonc.2021.608932
pmid
33747924
authors array · 10 items
[0]
Chengliang Yin
[1]
Junyan Zhang
[2]
Wei Guan
[3]
Liping Dou
[4]
Yuchen Liu
[5]
Ming Shen
[6]
Xiaodong Jia
[7]
Lu Xu
[8]
Rilige Wu
[9]
Yan Li
journal
Frontiers in oncology
year
2021
abstract
BACKGROUND: Acute myeloid leukemia (AML) is a heterogeneous disease of the hematopoietic system, for which identification of novel molecular markers is potentially important for clinical prognosis and is an urgent need for treatment optimization. METHODS: We selected C-type lectin domain family 11, member A (CLEC11A) for study via several public databases, comparing expression among a variety of tumors and normal samples as well as different organs and tissues. To investigated the relationship between CLEC11A expression and clinical characteristics, we derived an AML cohort from The Cancer Genome Atlas (TCGA); we also investigated the Bloodspot and HemaExplorer databases. The Kaplan-Meier method and log-rank test were used to evaluate the associations between CLEC11A mRNA expression, as well as DNA methylation, and overall survival (OS), event-free survival (EFS), and relapse-free survival (RFS). DNA methylation levels of CLEC11A from our own 28 de novo AML patients were assessed and related to chemotherapeutic outcomes. Bioinformatics analysis of CLEC11A was carried out using public databases. RESULTS: Multiple public databases revealed that CLEC11A expression was higher in leukemia. The TCGA data revealed that high CLEC11A expression was linked with favorable prognosis (OS p-value = 2e-04; EFS p-value = 6e-04), which was validated in GSE6891 (OS p-value = 0; EFS p-value = 0; RFS p-value = 2e-03). Methylation of CLEC11A was negatively associated with CLEC11A expression, and high CLEC11A methylation level group was linked to poorer prognosis (OS p-value = 1e-02; EFS p-value = 2e-02). Meanwhile, CLEC11A hypermethylation was associated with poor induction remission rate and dismal survival. Bioinformatic analysis also showed that CLEC11A was an up-regulated gene in leukemogenesis. CONCLUSION: CLEC11A may be used as a prognostic biomarker, and could do benefit for AML patients by providing precise treatment indications, and its unique gene pattern should aid in further understanding the heterogeneous AML mechanisms.
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The Kaplan-Meier method and log-rank test were performed to evaluate the relationship between CLEC11A expression and prognosis (OS, EFS, and RFS).
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sections[6] "Statistical Analyses" paragraph 2
quote
The Kaplan-Meier method and log-rank test were performed to evaluate the relationship between CLEC11A expression and prognosis (OS, EFS, and RFS).
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The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.
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sections[15] "Data Availability Statement" paragraph 2
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The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.
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https://doi.org/10.3389/fonc.2021.608932
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The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.
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GSM768714
[497]
GSM768715
[498]
GSM768716
[499]
GSM768717
[500]
GSM768718
[501]
GSM768719
[502]
GSM768720
[503]
GSM768721
[504]
GSM768722
[505]
GSM768723
[506]
GSM768724
[507]
GSM768725
[508]
GSM768726
[509]
GSM768727
[510]
GSM768728
[511]
GSM768729
[512]
GSM768730
[513]
GSM768731
[514]
GSM768732
[515]
GSM768733
[516]
GSM768734
[517]
GSM768735
[518]
GSM768736
[519]
GSM768737
[520]
GSM768738
[521]
GSM768739
[522]
GSM768740
[523]
GSM768741
[524]
GSM768742
[525]
GSM768743
[526]
GSM768744
[527]
GSM768745
[528]
GSM768746
[529]
GSM768747
[530]
GSM768748
[531]
GSM768749
[532]
GSM768750
[533]
GSM768751
[534]
GSM768752
[535]
GSM768753
[536]
GSM768754
sample_count
537
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Acute myeloid leukemia samples of samples =< 60yrs on HG-U133 plus 2
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE9476
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=GSE9476
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE9476
version
null
note
The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 64 items
[0]
GSM239170
[1]
GSM239323
[2]
GSM239324
[3]
GSM239326
[4]
GSM239328
[5]
GSM239329
[6]
GSM239331
[7]
GSM239332
[8]
GSM239333
[9]
GSM239334
[10]
GSM239335
[11]
GSM239338
[12]
GSM239339
[13]
GSM239340
[14]
GSM239341
[15]
GSM239342
[16]
GSM239343
[17]
GSM239344
[18]
GSM239345
[19]
GSM239346
[20]
GSM239348
[21]
GSM239363
[22]
GSM239371
[23]
GSM239460
[24]
GSM239485
[25]
GSM239487
[26]
GSM239488
[27]
GSM239489
[28]
GSM239490
[29]
GSM239491
[30]
GSM239492
[31]
GSM239493
[32]
GSM239494
[33]
GSM239495
[34]
GSM239496
[35]
GSM239497
[36]
GSM239498
[37]
GSM239516
[38]
GSM239520
[39]
GSM239580
[40]
GSM240405
[41]
GSM240406
[42]
GSM240427
[43]
GSM240429
[44]
GSM240430
[45]
GSM240431
[46]
GSM240432
[47]
GSM240433
[48]
GSM240494
[49]
GSM240495
[50]
GSM240496
[51]
GSM240497
[52]
GSM240498
[53]
GSM240499
[54]
GSM240500
[55]
GSM240501
[56]
GSM240502
[57]
GSM240503
[58]
GSM240504
[59]
GSM240505
[60]
GSM240506
[61]
GSM240507
[62]
GSM240508
[63]
GSM240509
sample_count
64
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
Abnormal Expression Changes in AML
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 16 fields
id
asset:table:pmid:33747924:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:130b390399cf43e908993e2c1ab0b9f95fdf895b083faef6ea33f4d345336015
bytes
1916
access
open
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verified
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read_table
reader_status
available
identifier
section[9]/table-wrap[1]#T1
version
null
note
Patients’ characteristics in the cohort of 163 TCGA patients according to CLEC11A expression level.
structure object · 5 fields
pmcid
PMC7966831
section_index
9
section_title
Differences of Clinical Features Between Low CLEC11A Expression Group and High Group
row_count
44
column_count
4
table object · 8 fields
label
Table 1
caption
Patients’ characteristics in the cohort of 163 TCGA patients according to CLEC11A expression level.
rows array · 44 items
[0] array · 4 items
[0]
Clinicopathological characteristic
[1]
Low-CLEC11A group (n = 82)
[2]
High-CLEC11A group (n = 81)
[3]
P-value
[1] array · 4 items
[0]
Gender, male no (%)
[1]
52
[2]
54
[3]
9.33e-01
[2] array · 4 items
[0]
Age, median y (range)
[1]
62 (18–88)
[2]
55 (21–81)
[3]
6.13e-02
[3] array · 4 items
[0]
<60
[1]
39 (contains 60)
[2]
53 (contains 60)
[3]
3.21e-02
[4] array · 4 items
[0]
>60
[1]
43
[2]
28
[3]
3.21e-02
[5] array · 4 items
[0]
WBC count, median ×109/L (range)
[1]
15 (0.6–297.4)
[2]
29.4 (1.5–171.9)
[3]
4.68e-01
[6] array · 4 items
[0]
BM blasts, median (range)
[1]
68.5 (32–99)
[2]
73 (30–100)
[3]
6.61e-02
[7] array · 4 items
[0]
PB blasts, median (range)
[1]
38.5 (0–98)
[2]
40 (0–97)
[3]
5.98e-01
[8] array · 2 items
[0]
FAB subtype, no
[1]
[9] array · 4 items
[0]
M0
[1]
13
[2]
3
[3]
1.91e-02
[10] array · 4 items
[0]
M1
[1]
23
[2]
21
[3]
8.98e-01
[11] array · 4 items
[0]
M2
[1]
17
[2]
23
[3]
3.40e-01
[12] array · 4 items
[0]
M4
[1]
17
[2]
18
[3]
9.67e-01
[13] array · 4 items
[0]
M5
[1]
7
[2]
14
[3]
1.52e-01
[14] array · 4 items
[0]
M6
[1]
1
[2]
1
[3]
1.00e+00
[15] array · 4 items
[0]
M7
[1]
3
[2]
0
[3]
2.48e-01
[16] array · 2 items
[0]
Fusion gene, no
[1]
[17] array · 4 items
[0]
BCR-ABL1
[1]
2
[2]
1
[3]
1.00e+00
[18] array · 4 items
[0]
PML-RARA
[1]
0
[2]
0
[3]
NA
[19] array · 4 items
[0]
MYH11-CBFB
[1]
2
[2]
9
[3]
5.82e-02
[20] array · 4 items
[0]
NUP98-NSD1
[1]
1
[2]
2
[3]
9.91e-01
[21] array · 4 items
[0]
MLL-PTD
[1]
3
[2]
6
[3]
4.81e-01
[22] array · 2 items
[0]
Mutated gene, no
[1]
[23] array · 4 items
[0]
FLT3
[1]
21
[2]
23
[3]
8.23e-01
[24] array · 4 items
[0]
NPM1
[1]
23
[2]
25
[3]
8.24e-01
[25] array · 4 items
[0]
CEBPA
[1]
6
[2]
7
[3]
9.82e-01
[26] array · 4 items
[0]
IDH1
[1]
6
[2]
10
[3]
4.15e-01
[27] array · 4 items
[0]
IDH2
[1]
11
[2]
6
[3]
3.18e-01
[28] array · 4 items
[0]
RUNX1
[1]
13
[2]
4
[3]
4.30e-02
[29] array · 4 items
[0]
DNMT3A
[1]
26
[2]
17
[3]
1.69e-01
[30] array · 4 items
[0]
TP53
[1]
14
[2]
1
[3]
1.25e-03
[31] array · 4 items
[0]
KIT
[1]
2
[2]
5
[3]
4.30e-01
[32] array · 4 items
[0]
ASXL1
[1]
3
[2]
0
[3]
2.48e-01
[33] array · 4 items
[0]
TET2
[1]
8
[2]
8
[3]
1.00e+00
[34] array · 4 items
[0]
High ERG, no
[1]
44
[2]
37
[3]
3.89e-01
[35] array · 4 items
[0]
High BAALC, no
[1]
41
[2]
40
[3]
1.00e+00
[36] array · 4 items
[0]
High MN1, no
[1]
46
[2]
35
[3]
1.37e-01
[37] array · 4 items
[0]
High WT1, no
[1]
2
[2]
8
[3]
9.85e-02
[38] array · 4 items
[0]
Normal karyotype, no
[1]
39
[2]
40
[3]
9.40e-01
[39] array · 4 items
[0]
Complex karyotype, no
[1]
19
[2]
4
[3]
1.82e-03
[40] array · 2 items
[0]
Risk status, no
[1]
7.63e-04
[41] array · 4 items
[0]
Good-risk
[1]
2
[2]
16
[3]
1.05e-03
[42] array · 4 items
[0]
Intermediate-risk
[1]
51
[2]
49
[3]
9.50e-01
[43] array · 4 items
[0]
Poor-risk
[1]
27
[2]
15
[3]
5.44e-02
locator
section[9]/table-wrap[1]#T1
gaps array · 4 items
[0]
asset:data:geo:GSE6891 not downloaded
[1]
asset:data:geo:GSE6891 licence not read
[2]
asset:data:geo:GSE9476 not downloaded
[3]
asset:data:geo:GSE9476 licence not read
analysis object · 4 fields
state
complete
methods array · 3 items
[0] object · 10 fields
id
method-1
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
1
band
verbatim
quote
The Kaplan-Meier method and log-rank test were performed to evaluate the relationship between CLEC11A expression and prognosis (OS, EFS, and RFS).
[1] object · 10 fields
id
method-2
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
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
0.7
band
medium
quote
log-rank
[2] object · 10 fields
id
method-3
family
clustering
specific
hierarchical
label
Clustering
dsl_operations array · 1 item
[0]
hierarchical_cluster
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
feature_matrix
evidence object · 3 fields
score
0.8
band
high
quote
hierarchical clustering
targets array · 0 items
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]
survival_km
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: kaplan_meier.
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]
GSE9476
[1]
GSE6891
resolved_accessions array · 2 items
[0]
GSE9476
[1]
GSE6891
statements array · 1 item
[0]
The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.
basis
The paper names GSE9476, GSE6891 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
survival_km
assets array · 3 items
[0]
source:pmid:33747924
[1]
data:geo:GSE6891
[2]
asset:table:pmid:33747924:1
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:GSE6891
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
2026-10-31T18:28:10Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
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3
usage object · 3 fields
prompt_tokens
30440
completion_tokens
2730
cached_tokens
792
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
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review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
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null
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gaps array · 1 item
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execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:33747924
type
paper
label
pmid:33747924
[1] object · 3 fields
id
source:pmid:33747924
type
manuscript
label
PMID 33747924 full text
[2] object · 3 fields
id
data:geo:GSE6891
type
dataset
label
GEO GSE6891
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:33747924
type
paper
label
pmid:33747924
[1] object · 3 fields
id
source:pmid:33747924
type
manuscript
label
PMID 33747924 full text
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id
data:geo:GSE6891
type
dataset
label
GEO GSE6891
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agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-33747924
type
extraction
used array · 1 item
[0]
source:pmid:33747924
agent
agent:minimax-reader
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id
activity-resolve-GSE6891
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE6891
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
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id
agent:minimax-reader
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MiniMax literature reader
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dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
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snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:33747924
parent_hash
sha256:ce6094c3ca96776b5d8a936fa8f65982fa518b8e2091744cb61af8b86c0f9486
fork_of
null
gaps array · 8 items
[0]
asset:data:geo:GSE6891 licence not read
[1]
asset:data:geo:GSE6891 not downloaded
[2]
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[3]
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[4]
execution.not_run
[5]
review.human_critique
[6]
review.independent_reader
[7]
review.machine_critique
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[0] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
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survival_km
support_state
supported
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dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The Kaplan-Meier method and log-rank test were performed to evaluate the relationship between CLEC11A expression and prognosis (OS, EFS, and RFS).
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33747924", "kind": "science-record", "revision": 7, "content_hash": "sha256:e36de3437cfd5926334093420c8c498e521592f714e4f71743b1436f7bd1adbb", "created_at": "2026-11-01T15:41:29Z", "updated_at": "2026-11-01T22:46:21Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "High Expression of CLEC11A Predicts Favorable Prognosis in Acute Myeloid Leukemia.", "doi": "10.3389/fonc.2021.608932", "pmid": "33747924", "authors": ["Chengliang Yin", "Junyan Zhang", "Wei Guan", "Liping Dou", "Yuchen Liu", "Ming Shen", "Xiaodong Jia", "Lu Xu", "Rilige Wu", "Yan Li"], "journal": "Frontiers in oncology", "year": 2021, "abstract": "BACKGROUND: Acute myeloid leukemia (AML) is a heterogeneous disease of the hematopoietic system, for which identification of novel molecular markers is potentially important for clinical prognosis and is an urgent need for treatment optimization.\nMETHODS: We selected C-type lectin domain family 11, member A (CLEC11A) for study via several public databases, comparing expression among a variety of tumors and normal samples as well as different organs and tissues. To investigated the relationship between CLEC11A expression and clinical characteristics, we derived an AML cohort from The Cancer Genome Atlas (TCGA); we also investigated the Bloodspot and HemaExplorer databases. The Kaplan-Meier method and log-rank test were used to evaluate the associations between CLEC11A mRNA expression, as well as DNA methylation, and overall survival (OS), event-free survival (EFS), and relapse-free survival (RFS). DNA methylation levels of CLEC11A from our own 28 de novo AML patients were assessed and related to chemotherapeutic outcomes. Bioinformatics analysis of CLEC11A was carried out using public databases.\nRESULTS: Multiple public databases revealed that CLEC11A expression was higher in leukemia. The TCGA data revealed that high CLEC11A expression was linked with favorable prognosis (OS p-value = 2e-04; EFS p-value = 6e-04), which was validated in GSE6891 (OS p-value = 0; EFS p-value = 0; RFS p-value = 2e-03). Methylation of CLEC11A was negatively associated with CLEC11A expression, and high CLEC11A methylation level group was linked to poorer prognosis (OS p-value = 1e-02; EFS p-value = 2e-02). Meanwhile, CLEC11A hypermethylation was associated with poor induction remission rate and dismal survival. Bioinformatic analysis also showed that CLEC11A was an up-regulated gene in leukemogenesis.\nCONCLUSION: CLEC11A may be used as a prognostic biomarker, and could do benefit for AML patients by providing precise treatment indications, and its unique gene pattern should aid in further understanding the heterogeneous AML mechanisms.", "claims": [{"id": "claim-method", "statement": "The Kaplan-Meier method and log-rank test were performed to evaluate the relationship between CLEC11A expression and prognosis (OS, EFS, and RFS).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33747924", "locator": "sections[6] \"Statistical Analyses\" paragraph 2", "quote": "The Kaplan-Meier method and log-rank test were performed to evaluate the relationship between CLEC11A expression and prognosis (OS, EFS, and RFS)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/supplementary material. 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