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pmid:39554585

Application of integrin subunit genes in pancreatic cancer and the construction of a prognosis model.

Qiuwen Ye · Tao Zhou · Xin Liu · Dong Chen · Burong Yang · Tingdong Yu · Jing Tan

Journal of gastrointestinal oncology · 2024 doi:10.21037/jgo-24-612

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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title
Application of integrin subunit genes in pancreatic cancer and the construction of a prognosis model.
doi
10.21037/jgo-24-612
pmid
39554585
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[0]
Qiuwen Ye
[1]
Tao Zhou
[2]
Xin Liu
[3]
Dong Chen
[4]
Burong Yang
[5]
Tingdong Yu
[6]
Jing Tan
journal
Journal of gastrointestinal oncology
year
2024
abstract
Background: Pancreatic adenocarcinoma (PAAD) is a highly aggressive malignant tumor with a poor prognosis. Integrin subunit genes (ITGs) serve as biomarkers for various types of cancers; however, to date, no prognostic research has been conducted on the ITGs in PAAD. This study aims to fill this gap by investigating the role of ITGs in PAAD prognosis. Methods: RNA-sequencing data, clinicopathological features, and survival information from The Cancer Genome Atlas (TCGA) database were sourced via GTEx. The GSE62452 data set was acquired from the Gene Expression Omnibus (GEO) database. A single-sample gene set enrichment analysis (ssGSEA) was first conducted to classify the PAAD samples from TCGA and GEO data sets with different ITG scores. A differential analysis was employed to identify the differentially expressed genes (DEGs) between the normal and PAAD samples, and between the high and low ITG score groups in both TCGA and GEO data sets. Results: A total of 22 key differentially expressed ITGs (KDE-ITGs) were identified and enriched in eight Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, including the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt) signaling pathway, focal adhesion, and the extracellular matrix (ECM)-receptor interaction. A prognostic model comprising the eight KDE-ITGs was established. Additionally, 2,371 DEGs were found between the high- and low-risk groups, which were mainly enriched in the Gene Ontology (GO) terms of cell morphogenesis and cytokine production, and KEGG pathways such as necroptosis, lysosome, and ferroptosis. Further, the proportions of T cells and cluster of differentiation 8 (CD8) T cells, and the expression levels of immune checkpoints, such as cluster of differentiation 274 (CD274) and lymphocyte activating gene 3 (LAG3), differed significantly between the two risk groups. Conclusions: The eight identified KDE-ITGs in PAAD were used to establish a new prognosis model, which might have clinical application, especially in immunotherapy.
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A single-sample gene set enrichment analysis (ssGSEA) of the 178 PAAD samples from TCGA was conducted to obtain the rank score of the ITGs in each sample.
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A prognostic model comprising the eight KDE-ITGs was established.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39554585", "kind": "science-record", "revision": 4, "content_hash": "sha256:aaae7a9c052342cb82b579afe0c9d41f598d1a18199921e91169a45c54eca509", "created_at": "2026-11-01T20:29:49Z", "updated_at": "2026-11-01T22:55:37Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Application of integrin subunit genes in pancreatic cancer and the construction of a prognosis model.", "doi": "10.21037/jgo-24-612", "pmid": "39554585", "authors": ["Qiuwen Ye", "Tao Zhou", "Xin Liu", "Dong Chen", "Burong Yang", "Tingdong Yu", "Jing Tan"], "journal": "Journal of gastrointestinal oncology", "year": 2024, "abstract": "Background: Pancreatic adenocarcinoma (PAAD) is a highly aggressive malignant tumor with a poor prognosis. Integrin subunit genes (ITGs) serve as biomarkers for various types of cancers; however, to date, no prognostic research has been conducted on the ITGs in PAAD. This study aims to fill this gap by investigating the role of ITGs in PAAD prognosis.\nMethods: RNA-sequencing data, clinicopathological features, and survival information from The Cancer Genome Atlas (TCGA) database were sourced via GTEx. The GSE62452 data set was acquired from the Gene Expression Omnibus (GEO) database. A single-sample gene set enrichment analysis (ssGSEA) was first conducted to classify the PAAD samples from TCGA and GEO data sets with different ITG scores. A differential analysis was employed to identify the differentially expressed genes (DEGs) between the normal and PAAD samples, and between the high and low ITG score groups in both TCGA and GEO data sets.\nResults: A total of 22 key differentially expressed ITGs (KDE-ITGs) were identified and enriched in eight Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, including the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt) signaling pathway, focal adhesion, and the extracellular matrix (ECM)-receptor interaction. A prognostic model comprising the eight KDE-ITGs was established. Additionally, 2,371 DEGs were found between the high- and low-risk groups, which were mainly enriched in the Gene Ontology (GO) terms of cell morphogenesis and cytokine production, and KEGG pathways such as necroptosis, lysosome, and ferroptosis. Further, the proportions of T cells and cluster of differentiation 8 (CD8) T cells, and the expression levels of immune checkpoints, such as cluster of differentiation 274 (CD274) and lymphocyte activating gene 3 (LAG3), differed significantly between the two risk groups.\nConclusions: The eight identified KDE-ITGs in PAAD were used to establish a new prognosis model, which might have clinical application, especially in immunotherapy.", "claims": [{"id": "claim-method", "statement": "A single-sample gene set enrichment analysis (ssGSEA) of the 178 PAAD samples from TCGA was conducted to obtain the rank score of the ITGs in each sample.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39554585", "locator": "sections[5] \"Identification of survival-based subtypes based on the rank score of the ITGs\" paragraph 2", "quote": "A single-sample gene set enrichment analysis (ssGSEA) of the 178 PAAD samples from TCGA was conducted to obtain the rank score of the ITGs in each sample."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The RNA-sequencing data of 183 PAAD samples, which contained corresponding count and clinical data, were downloaded from The Cancer Genome Atlas (TCGA) database (https://portal.gdc.Cancer.gov/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39554585", "locator": "sections[4] \"Data sources\" paragraph 2", "quote": "The RNA-sequencing data of 183 PAAD samples, which contained corresponding count and clinical data, were downloaded from The Cancer Genome Atlas (TCGA) database (https://portal.gdc.Cancer.gov/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A prognostic model comprising the eight KDE-ITGs was established.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:39554585", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "A prognostic model comprising the eight KDE-ITGs was established."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A prognostic model comprising the eight KDE-ITGs was established.", "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:39554585"], "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. 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