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pmid:34994984

ITGA5 is an independent prognostic biomarker and potential therapeutic target for laryngeal squamous cell carcinoma.

Chongchang Zhou · Yiming Shen · Zhengyu Wei · Zhisen Shen · Ming Tang · Yi Shen · Hongxia Deng

Journal of clinical laboratory analysis · 2022 doi:10.1002/jcla.24228

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

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pmid:34994984
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paper object · 10 fields
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title
ITGA5 is an independent prognostic biomarker and potential therapeutic target for laryngeal squamous cell carcinoma.
doi
10.1002/jcla.24228
pmid
34994984
authors array · 7 items
[0]
Chongchang Zhou
[1]
Yiming Shen
[2]
Zhengyu Wei
[3]
Zhisen Shen
[4]
Ming Tang
[5]
Yi Shen
[6]
Hongxia Deng
journal
Journal of clinical laboratory analysis
year
2022
abstract
BACKGROUND: Integrin α5 (ITGA5) was involved in a variety of cancers. However, the role of ITGA5 in laryngeal squamous cell carcinoma (LSCC) remains unknown. METHODS: The expression of ITGA5 and the corresponding clinicopathological parameters of LSCC patients the TCGA database. Five datasets (GSE51985, GSE59102, GSE84957, GSE27020, and GSE65858) were downloaded from the GEO database as validation sets. Kaplan-Meier plotter, Cox regression analysis, and nomogram were performed to determine the prognostic value of ITGA5 in LSCC. GO, KEGG, and GSEA were used to explore the underlying biological functions of ITGA5 in LSCC. The algorithms ESTIMATE and CIBERSORT were adopted to evaluate the association between ITGA5 and the infiltration of the immune cells. The algorithm pRRophetic was used to estimate the response to chemotherapeutic drugs. RESULTS: The expression of ITGA5 was higher in the LSCC samples and linked to poor overall survival and recurrence-free survival. Further, the Cox regression analysis confirmed that high expression of ITGA5 was an independent unfavorable prognostic factor. The predictive performance of nomogram based on the expression of ITGA5 was accurate and practical. The functional enrichment analysis confirmed that ITGA5 was related to the construction of the components and structures of the extracellular matrix. Finally, patients with high ITGA5 expression were more likely to benefit from docetaxel and gemcitabine. CONCLUSION: The expression of ITGA5 was elevated in the LSCC and was a predictor for prognosis and chemotherapeutic response in LSCC patients.
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Kaplan–Meier plotter, Cox regression analysis, and nomogram were performed to determine the prognostic value of ITGA5 in LSCC.
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Kaplan–Meier plotter, Cox regression analysis, and nomogram were performed to determine the prognostic value of ITGA5 in LSCC.
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The data that support the findings of this study are openly available from The Cancer Genome Atlas database (https://portal.gdc.cancer.gov/) and the Gene Expression Omnibus database (https://www.ncbi.nlm.nih.gov/geo).
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sections[23] "DATA AVAILABILITY STATEMENT" paragraph 2
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The data that support the findings of this study are openly available from The Cancer Genome Atlas database (https://portal.gdc.cancer.gov/) and the Gene Expression Omnibus database (https://www.ncbi.nlm.nih.gov/geo).
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The expression of ITGA5 was elevated in the LSCC and was a predictor for prognosis and chemotherapeutic response in LSCC patients.
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The expression of ITGA5 was elevated in the LSCC and was a predictor for prognosis and chemotherapeutic response in LSCC patients.
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The expression of ITGA5 was elevated in the LSCC and was a predictor for prognosis and chemotherapeutic response in LSCC patients.
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GSM1607877
[194]
GSM1607878
[195]
GSM1607879
[196]
GSM1607880
[197]
GSM1607881
[198]
GSM1607882
[199]
GSM1607883
[200]
GSM1607884
[201]
GSM1607885
[202]
GSM1607886
[203]
GSM1607887
[204]
GSM1607888
[205]
GSM1607889
[206]
GSM1607890
[207]
GSM1607891
[208]
GSM1607892
[209]
GSM1607893
[210]
GSM1607894
[211]
GSM1607895
[212]
GSM1607896
[213]
GSM1607897
[214]
GSM1607898
[215]
GSM1607899
[216]
GSM1607900
[217]
GSM1607901
[218]
GSM1607902
[219]
GSM1607903
[220]
GSM1607904
[221]
GSM1607905
[222]
GSM1607906
[223]
GSM1607907
[224]
GSM1607908
[225]
GSM1607909
[226]
GSM1607910
[227]
GSM1607911
[228]
GSM1607912
[229]
GSM1607913
[230]
GSM1607914
[231]
GSM1607915
[232]
GSM1607916
[233]
GSM1607917
[234]
GSM1607918
[235]
GSM1607919
[236]
GSM1607920
[237]
GSM1607921
[238]
GSM1607922
[239]
GSM1607923
[240]
GSM1607924
[241]
GSM1607925
[242]
GSM1607926
[243]
GSM1607927
[244]
GSM1607928
[245]
GSM1607929
[246]
GSM1607930
[247]
GSM1607931
[248]
GSM1607932
[249]
GSM1607933
[250]
GSM1607934
[251]
GSM1607935
[252]
GSM1607936
[253]
GSM1607937
[254]
GSM1607938
[255]
GSM1607939
[256]
GSM1607940
[257]
GSM1607941
[258]
GSM1607942
[259]
GSM1607943
[260]
GSM1607944
[261]
GSM1607945
[262]
GSM1607946
[263]
GSM1607947
[264]
GSM1607948
[265]
GSM1607949
[266]
GSM1607950
[267]
GSM1607951
[268]
GSM1607952
[269]
GSM1607953
sample_count
270
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
Gene expression patterns and TP53 mutations are associated with HPV RNA status, lymph node metastasis, and survival in head and neck cancer
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[5] object · 15 fields
id
data:geo:GSE84957
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=GSE84957
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE84957
version
null
note
The data that support the findings of this study are openly available from The Cancer Genome Atlas database (https://portal.gdc.cancer.gov/) and the Gene Expression Omnibus database (https://www.ncbi.nlm.nih.gov/geo).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The data that support the findings of this study are openly available from The Cancer Genome Atlas database (https://portal.gdc.cancer.gov/) and the Gene Expression Omnibus database (https://www.ncbi.nlm.nih.gov/geo).
access_statement_kind
data_availability_statement
sample_accessions array · 18 items
[0]
GSM2254690
[1]
GSM2254691
[2]
GSM2254692
[3]
GSM2254693
[4]
GSM2254694
[5]
GSM2254695
[6]
GSM2254696
[7]
GSM2254697
[8]
GSM2254698
[9]
GSM2254699
[10]
GSM2254700
[11]
GSM2254701
[12]
GSM2254702
[13]
GSM2254703
[14]
GSM2254704
[15]
GSM2254705
[16]
GSM2254706
[17]
GSM2254707
sample_count
18
group_sizes
null
group_sizes_basis
null
platform
17843
taxon
Homo sapiens
title
Long Noncoding RNA and mRNA Expression Profile in Laryngeal Squamous Cell Carcinoma
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 10 items
[0]
asset:data:geo:GSE27020 not downloaded
[1]
asset:data:geo:GSE27020 licence not read
[2]
asset:data:geo:GSE51985 not downloaded
[3]
asset:data:geo:GSE51985 licence not read
[4]
asset:data:geo:GSE59102 not downloaded
[5]
asset:data:geo:GSE59102 licence not read
[6]
asset:data:geo:GSE65858 not downloaded
[7]
asset:data:geo:GSE65858 licence not read
[8]
asset:data:geo:GSE84957 not downloaded
[9]
asset:data:geo:GSE84957 licence not read
analysis object · 4 fields
state
partial
methods array · 7 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
Kaplan–Meier plotter, Cox regression analysis, and nomogram were performed to determine the prognostic value of ITGA5 in LSCC.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
wilcoxon
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
Wilcoxon
[2] object · 10 fields
id
method-3
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
0.7
band
medium
quote
Kaplan-Meier
[3] object · 10 fields
id
method-4
family
differential_expression
specific
limma_voom
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.8
band
high
quote
Limma
[4] object · 10 fields
id
method-5
family
correlation_analysis
specific
spearman
label
Correlation analysis
dsl_operations array · 1 item
[0]
spearman_rho
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
0.8
band
high
quote
Spearman correlation
[5] object · 10 fields
id
method-6
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.8
band
high
quote
GO enrichment
[6] object · 10 fields
id
method-7
family
contingency_analysis
specific
chi_square
label
Categorical (contingency table) analysis
dsl_operations array · 1 item
[0]
chi_square_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
categorical_cross_tabulation
evidence object · 3 fields
score
0.8
band
high
quote
Chi square
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
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 · 5 items
[0]
GSE51985
[1]
GSE59102
[2]
GSE84957
[3]
GSE65858
[4]
GSE27020
resolved_accessions array · 5 items
[0]
GSE51985
[1]
GSE59102
[2]
GSE84957
[3]
GSE65858
[4]
GSE27020
statements array · 1 item
[0]
The data that support the findings of this study are openly available from The Cancer Genome Atlas database (https://portal.gdc.cancer.gov/) and the Gene Expression Omnibus database (https://www.ncbi.nlm.nih.gov/geo).
basis
The paper names GSE51985, GSE59102, GSE84957, GSE65858, GSE27020 in Gene Expression Omnibus (GEO) database 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 · 2 items
[0]
source:pmid:34994984
[1]
data:geo:GSE27020
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:GSE27020
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T17:14:37Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
11263
completion_tokens
2168
cached_tokens
256
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
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gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:34994984
type
paper
label
pmid:34994984
[1] object · 3 fields
id
source:pmid:34994984
type
manuscript
label
PMID 34994984 full text
[2] object · 3 fields
id
data:geo:GSE27020
type
dataset
label
GEO GSE27020
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:34994984
type
paper
label
pmid:34994984
[1] object · 3 fields
id
source:pmid:34994984
type
manuscript
label
PMID 34994984 full text
[2] object · 3 fields
id
data:geo:GSE27020
type
dataset
label
GEO GSE27020
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-34994984
type
extraction
used array · 1 item
[0]
source:pmid:34994984
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE27020
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE27020
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agent:corpus-assay-engine
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[0] object · 3 fields
id
agent:corpus-assay-engine
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software
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Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
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MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
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ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:34994984
parent_hash
sha256:20bb13a25591f7100b299c08716e9d80dd0f76a795c7b2e7e5a673385197ed8c
fork_of
null
gaps array · 15 items
[0]
asset:data:geo:GSE27020 licence not read
[1]
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[2]
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[3]
asset:data:geo:GSE51985 not downloaded
[4]
asset:data:geo:GSE59102 licence not read
[5]
asset:data:geo:GSE59102 not downloaded
[6]
asset:data:geo:GSE65858 licence not read
[7]
asset:data:geo:GSE65858 not downloaded
[8]
asset:data:geo:GSE84957 licence not read
[9]
asset:data:geo:GSE84957 not downloaded
[10]
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[11]
method.reader_differs_from_extractor
[12]
review.human_critique
[13]
review.independent_reader
[14]
review.machine_critique
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[0] object · 11 fields
role
data_generation
definition_id
apoptosis_assay
definition_version
99e1195c7d6f
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support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.69
evidence array · 1 item
[0]
gration, differentiation, proliferation, and apoptosis. The GO and the KEGG enrichment analysis wer
order_basis
paper_text_order:6208
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
survival_analysis
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f2132e96ae6c7a4e
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cox_ph
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supported
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dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Kaplan–Meier plotter, Cox regression analysis, and nomogram were performed to determine the prognostic value of ITGA5 in LSCC.
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:34994984", "kind": "science-record", "revision": 4, "content_hash": "sha256:e486d9d9fce381e5063ee24e990948168060b3e1c03e6531c88d73c333971d8f", "created_at": "2026-11-01T17:36:42Z", "updated_at": "2026-11-01T22:05:31Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "ITGA5 is an independent prognostic biomarker and potential therapeutic target for laryngeal squamous cell carcinoma.", "doi": "10.1002/jcla.24228", "pmid": "34994984", "authors": ["Chongchang Zhou", "Yiming Shen", "Zhengyu Wei", "Zhisen Shen", "Ming Tang", "Yi Shen", "Hongxia Deng"], "journal": "Journal of clinical laboratory analysis", "year": 2022, "abstract": "BACKGROUND: Integrin α5 (ITGA5) was involved in a variety of cancers. However, the role of ITGA5 in laryngeal squamous cell carcinoma (LSCC) remains unknown.\nMETHODS: The expression of ITGA5 and the corresponding clinicopathological parameters of LSCC patients the TCGA database. Five datasets (GSE51985, GSE59102, GSE84957, GSE27020, and GSE65858) were downloaded from the GEO database as validation sets. Kaplan-Meier plotter, Cox regression analysis, and nomogram were performed to determine the prognostic value of ITGA5 in LSCC. GO, KEGG, and GSEA were used to explore the underlying biological functions of ITGA5 in LSCC. The algorithms ESTIMATE and CIBERSORT were adopted to evaluate the association between ITGA5 and the infiltration of the immune cells. The algorithm pRRophetic was used to estimate the response to chemotherapeutic drugs.\nRESULTS: The expression of ITGA5 was higher in the LSCC samples and linked to poor overall survival and recurrence-free survival. Further, the Cox regression analysis confirmed that high expression of ITGA5 was an independent unfavorable prognostic factor. The predictive performance of nomogram based on the expression of ITGA5 was accurate and practical. The functional enrichment analysis confirmed that ITGA5 was related to the construction of the components and structures of the extracellular matrix. Finally, patients with high ITGA5 expression were more likely to benefit from docetaxel and gemcitabine.\nCONCLUSION: The expression of ITGA5 was elevated in the LSCC and was a predictor for prognosis and chemotherapeutic response in LSCC patients.", "claims": [{"id": "claim-method", "statement": "Kaplan–Meier plotter, Cox regression analysis, and nomogram were performed to determine the prognostic value of ITGA5 in LSCC.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34994984", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Kaplan–Meier plotter, Cox regression analysis, and nomogram were performed to determine the prognostic value of ITGA5 in LSCC."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data that support the findings of this study are openly available from The Cancer Genome Atlas database (https://portal.gdc.cancer.gov/) and the Gene Expression Omnibus database (https://www.ncbi.nlm.nih.gov/geo).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34994984", "locator": "sections[23] \"DATA AVAILABILITY STATEMENT\" paragraph 2", "quote": "The data that support the findings of this study are openly available from The Cancer Genome Atlas database (https://portal.gdc.cancer.gov/) and the Gene Expression Omnibus database (https://www.ncbi.nlm.nih.gov/geo)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The expression of ITGA5 was elevated in the LSCC and was a predictor for prognosis and chemotherapeutic response in LSCC patients.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:34994984", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "The expression of ITGA5 was elevated in the LSCC and was a predictor for prognosis and chemotherapeutic response in LSCC patients."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The expression of ITGA5 was elevated in the LSCC and was a predictor for prognosis and chemotherapeutic response in LSCC patients.", "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:34994984"], "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:GSE27020"], "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:GSE27020"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34994984", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1002/jcla.24228", "sha256": 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