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pmid:35261899

Identification of potential key molecular biomarkers in lung adenocarcinoma by bioinformatics analysis.

Pengyi Guo · Tinghui Xu · Ying Jiang · Wenming Shen

Translational cancer research · 2022 doi:10.21037/tcr-21-2676

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:35261899
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science-record
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2026-11-01T18:14:02Z
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2026-11-01T22:48:37Z
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title
Identification of potential key molecular biomarkers in lung adenocarcinoma by bioinformatics analysis.
doi
10.21037/tcr-21-2676
pmid
35261899
authors array · 4 items
[0]
Pengyi Guo
[1]
Tinghui Xu
[2]
Ying Jiang
[3]
Wenming Shen
journal
Translational cancer research
year
2022
abstract
Background: Lung cancer is one of the most common malignant tumors in the world, of which the rate of incidence has continuously increased over recent years. Lung adenocarcinoma (LUAD) is the most frequent pathological type of lung cancer. Methods: In order to discover the key markers for the occurrence and development of LUAD, we collected messenger RNA (mRNA) expression datasets in the Gene Expression Omnibus (GEO), namely, GSE2514, GSE7670, and GSE40275. The differentially expressed genes (DEGs) were screened using the online interface between GEO and R (GEO2R). Then, DEGs were functionally annotated in the Database for Annotation, Visualization, and Integrated Discovery (DAVID). Next, a protein-protein interaction (PPI) network was drawn by using the Search Tool for the Retrieval of Interacting Genes (STRING) web tool and Cytoscape software. Finally, Kaplan-Meier plotter was utilized to analyze the overall survival (OS) of the hub genes. The correlation between fibroblast growth factor 2 (FGF2) and immune infiltration was studied by TIMER web services. Results: In this study, we obtained a total of 284 DEGs through the intersection of 3 datasets, and found that DEGs were highly related to biological processes such as "cell adhesion", "cell differentiation", and "cell proliferation". After that, the hub genes were obtained by analyzing the PPI network. Finally, we found that the abnormal expression of hub genes is obviously related to poor prognosis in LUAD patients. The expression level of FGF2 was positively correlated with the immune infiltration in LUAD. Conclusions: In general, the DEGs and hub genes can provide new research targets for the development of LUAD, as well as potential diagnosis and treatment strategies for disease treatment. In particular, FGF2 expression was found to be involved in the immune microenvironment of LUAD.
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The GEO2R is used to screen DEGs. The Kaplan-Meier Plotter database and Prognoscan database were used to analyze the survival of hub gene. The correlation between gene expression and immune infiltration was displayed by Spearman correlation and statistical significance.
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sections[10] "Statistical analysis" paragraph 2
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The GEO2R is used to screen DEGs.
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sections[10] "Statistical analysis" paragraph 2
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The Kaplan-Meier Plotter database and Prognoscan database were used to analyze the survival of hub gene.
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sections[10] "Statistical analysis" paragraph 2
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The correlation between gene expression and immune infiltration was displayed by Spearman correlation and statistical significance.
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The study screened 284 differentially expressed genes and identified 10 hub genes as potential biomarkers for lung adenocarcinoma.
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As a result, 284 DEGs and 10 hub genes were screened, which may be used as potential biomarkers for LUAD.
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The study screened 284 differentially expressed genes and identified 10 hub genes as potential biomarkers for lung adenocarcinoma.
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The GEO2R is used to screen DEGs. The Kaplan-Meier Plotter database and Prognoscan database were used to analyze the survival of hub gene. The correlation between gene expression and immune infiltration was displayed by Spearman correlation and statistical significance.
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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:35261899
parent_hash
sha256:2a63ec88dcf3f31eb7d1e02fab181fb3a4dd2db58d7f008fc3391fa35fe2ab8b
fork_of
null
gaps array · 10 items
[0]
asset:data:geo:GSE2514 licence not read
[1]
asset:data:geo:GSE2514 not downloaded
[2]
asset:data:geo:GSE40275 licence not read
[3]
asset:data:geo:GSE40275 not downloaded
[4]
asset:data:geo:GSE7670 licence not read
[5]
asset:data:geo:GSE7670 not downloaded
[6]
execution.not_run
[7]
review.human_critique
[8]
review.independent_reader
[9]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
significance was considered when P<0.01. The immunohistochemical data of 9 hub genes in LUAD or normal lung t
order_basis
paper_text_order:3195
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
survival_km
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The GEO2R is used to screen DEGs. The Kaplan-Meier Plotter database and Prognoscan database were used to analyze the survival of hub gene. The correlation between gene expression and immune infiltration was displayed by Spearman correlation and statistical significance.
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:35261899", "kind": "science-record", "revision": 5, "content_hash": "sha256:2698999908382c6f14a1bdaca115cf9b4aed25345e2f73c555586ac3a02ab7d4", "created_at": "2026-11-01T18:14:02Z", "updated_at": "2026-11-01T22:48:37Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of potential key molecular biomarkers in lung adenocarcinoma by bioinformatics analysis.", "doi": "10.21037/tcr-21-2676", "pmid": "35261899", "authors": ["Pengyi Guo", "Tinghui Xu", "Ying Jiang", "Wenming Shen"], "journal": "Translational cancer research", "year": 2022, "abstract": "Background: Lung cancer is one of the most common malignant tumors in the world, of which the rate of incidence has continuously increased over recent years. Lung adenocarcinoma (LUAD) is the most frequent pathological type of lung cancer.\nMethods: In order to discover the key markers for the occurrence and development of LUAD, we collected messenger RNA (mRNA) expression datasets in the Gene Expression Omnibus (GEO), namely, GSE2514, GSE7670, and GSE40275. The differentially expressed genes (DEGs) were screened using the online interface between GEO and R (GEO2R). Then, DEGs were functionally annotated in the Database for Annotation, Visualization, and Integrated Discovery (DAVID). Next, a protein-protein interaction (PPI) network was drawn by using the Search Tool for the Retrieval of Interacting Genes (STRING) web tool and Cytoscape software. Finally, Kaplan-Meier plotter was utilized to analyze the overall survival (OS) of the hub genes. The correlation between fibroblast growth factor 2 (FGF2) and immune infiltration was studied by TIMER web services.\nResults: In this study, we obtained a total of 284 DEGs through the intersection of 3 datasets, and found that DEGs were highly related to biological processes such as \"cell adhesion\", \"cell differentiation\", and \"cell proliferation\". After that, the hub genes were obtained by analyzing the PPI network. Finally, we found that the abnormal expression of hub genes is obviously related to poor prognosis in LUAD patients. The expression level of FGF2 was positively correlated with the immune infiltration in LUAD.\nConclusions: In general, the DEGs and hub genes can provide new research targets for the development of LUAD, as well as potential diagnosis and treatment strategies for disease treatment. In particular, FGF2 expression was found to be involved in the immune microenvironment of LUAD.", "claims": [{"id": "claim-method", "statement": "The GEO2R is used to screen DEGs. The Kaplan-Meier Plotter database and Prognoscan database were used to analyze the survival of hub gene. 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This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE2514"], "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:GSE2514"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35261899", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.21037/tcr-21-2676", "sha256": 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