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pmid:41601785

P2RY13+ dendritic cells correlate with enhanced antigen presentation and lymphocyte activation in lung adenocarcinoma.

Cong Lan · Jian Zhong · Siyao Che

Frontiers in medicine · 2025 doi:10.3389/fmed.2025.1708670

Paper

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Experiment

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Data

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Analysis

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title
P2RY13+ dendritic cells correlate with enhanced antigen presentation and lymphocyte activation in lung adenocarcinoma.
doi
10.3389/fmed.2025.1708670
pmid
41601785
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[0]
Cong Lan
[1]
Jian Zhong
[2]
Siyao Che
journal
Frontiers in medicine
year
2025
abstract
Background: Although P2RY13 has been implicated in immune regulation and prognosis in lung adenocarcinoma (LUAD), its specific cellular expression and functional mechanisms within the tumor microenvironment (TME) remain poorly understood. Methods: We integrated transcriptomic and clinical data from TCGA and GEO (GSE68465 and GSE31210), performed differential gene expression and functional enrichment analyses, and employed multiple algorithms including CIBERSORT, MCP-counter, quanTIseq, TIMER, and ESTIMATE to evaluate immune infiltration. Single-cell RNA sequencing data (GSE131907) was analyzed using Seurat to identify cell-type-specific expression, while CellChat was used to infer intercellular communication. Pathway activities were assessed with eight scoring methods (AUCell, UCell, AddModuleScore, GSVA, JASMINE, singscore, ssGSEA, viper) using MSigDB gene sets. Results: Our results demonstrated that P2RY13 was significantly downregulated in LUAD and predicted poor prognosis independently. It correlated positively with immune infiltration, particularly T cell markers. Single-cell analysis revealed specific enrichment in dendritic cells (DCs), with P2RY13(+) DCs more prevalent in normal tissues and exhibiting enhanced activity in antigen presentation and T cell activation. Conclusion: P2RY13 is an independent prognostic biomarker in LUAD, linked to an immunologically active TME. Its specific expression in dendritic cells enhances antigen presentation and T cell activation, underscoring its role in promoting anti-tumor immunity.
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Survival analysis was performed using the Kaplan–Meier method and compared with the log-rank test. Multivariate Cox regression models were applied to evaluate the prognostic value of P2RY13 expression.
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Survival analysis was performed using the Kaplan–Meier method and compared with the log-rank test. Multivariate Cox regression models were applied to evaluate the prognostic value of P2RY13 expression.
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The datasets (GSE68465 and GSE31210) analyzed in the present study were derived from publicly accessible databases (TCGA: https://portal.gdc.cancer.gov/; GEO: https://www.ncbi.nlm.nih.gov/geo/).
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The datasets (GSE68465 and GSE31210) analyzed in the present study were derived from publicly accessible databases (TCGA: https://portal.gdc.cancer.gov/; GEO: https://www.ncbi.nlm.nih.gov/geo/).
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P2RY13 was significantly downregulated in LUAD and predicted poor prognosis independently.
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Our results demonstrated that P2RY13 was significantly downregulated in LUAD and predicted poor prognosis independently.
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P2RY13 was significantly downregulated in LUAD and predicted poor prognosis independently.
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462
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96
taxon
Homo sapiens
title
caArray_jacob-00182: Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study
resolution_checked_at
2026-11-01T15:39:55Z
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[4]
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[5]
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Survival analysis was performed using the Kaplan–Meier method and compared with the log-rank test. Multivariate Cox regression models were applied to evaluate the prognostic value of P2RY13 expression.
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basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards.
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[0]
The datasets (GSE68465 and GSE31210) analyzed in the present study were derived from publicly accessible databases (TCGA: https://portal.gdc.cancer.gov/; GEO: https://www.ncbi.nlm.nih.gov/geo/).
basis
The paper names GSE68465, GSE31210, GSE131907 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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data:geo:GSE131907
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[0]
to evaluate immune infiltration. Single-cell RNA sequencing data (GSE131907) was analyzed using Seurat t
[1]
A sequencing data processing The single-cell RNA-seq dataset GSE131907 was processed and analyzed
[2]
Materials and methods Single-cell RNA sequencing data processing The single-cell RNA-seq data
[3]
in poorly understood. Methods: We integrated transcriptomic and clinical data from TCGA and GEO (GSE6846
order_basis
paper_text_order:336
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assay:1
[1] object · 11 fields
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[0]
nd ESTIMATE to evaluate immune infiltration. Single-cell RNA sequencing data (GSE131907) was analyzed using Seurat t
[1]
Materials and methods Single-cell RNA sequencing data processing The single-cell RNA-seq data
[2]
ngle-cell RNA sequencing data processing The single-cell RNA-seq dataset GSE131907 was processed and analyzed
order_basis
paper_text_order:618
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assay:2
[2] object · 11 fields
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survival_analysis
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supported
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f2132e96ae6c7a4e
evidence array · 1 item
[0]
Survival analysis was performed using the Kaplan–Meier method and compared with the log-rank test. Multivariate Cox regression models were applied to evaluate the prognostic value of P2RY13 expression.
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consumes_earlier_output
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41601785", "kind": "science-record", "revision": 3, "content_hash": "sha256:c6b6ad2eb7e3667126cc494d541f9347f7432dd9ddc85a29df6d7744fcd36c18", "created_at": "2026-11-01T20:31:34Z", "updated_at": "2026-11-01T22:57:49Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "P2RY13+ dendritic cells correlate with enhanced antigen presentation and lymphocyte activation in lung adenocarcinoma.", "doi": "10.3389/fmed.2025.1708670", "pmid": "41601785", "authors": ["Cong Lan", "Jian Zhong", "Siyao Che"], "journal": "Frontiers in medicine", "year": 2025, "abstract": "Background: Although P2RY13 has been implicated in immune regulation and prognosis in lung adenocarcinoma (LUAD), its specific cellular expression and functional mechanisms within the tumor microenvironment (TME) remain poorly understood.\nMethods: We integrated transcriptomic and clinical data from TCGA and GEO (GSE68465 and GSE31210), performed differential gene expression and functional enrichment analyses, and employed multiple algorithms including CIBERSORT, MCP-counter, quanTIseq, TIMER, and ESTIMATE to evaluate immune infiltration. Single-cell RNA sequencing data (GSE131907) was analyzed using Seurat to identify cell-type-specific expression, while CellChat was used to infer intercellular communication. Pathway activities were assessed with eight scoring methods (AUCell, UCell, AddModuleScore, GSVA, JASMINE, singscore, ssGSEA, viper) using MSigDB gene sets.\nResults: Our results demonstrated that P2RY13 was significantly downregulated in LUAD and predicted poor prognosis independently. It correlated positively with immune infiltration, particularly T cell markers. Single-cell analysis revealed specific enrichment in dendritic cells (DCs), with P2RY13(+) DCs more prevalent in normal tissues and exhibiting enhanced activity in antigen presentation and T cell activation.\nConclusion: P2RY13 is an independent prognostic biomarker in LUAD, linked to an immunologically active TME. Its specific expression in dendritic cells enhances antigen presentation and T cell activation, underscoring its role in promoting anti-tumor immunity.", "claims": [{"id": "claim-method", "statement": "Survival analysis was performed using the Kaplan–Meier method and compared with the log-rank test. Multivariate Cox regression models were applied to evaluate the prognostic value of P2RY13 expression.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41601785", "locator": "sections[9] \"Survival and statistical analysis\" paragraph 2", "quote": "Survival analysis was performed using the Kaplan–Meier method and compared with the log-rank test. Multivariate Cox regression models were applied to evaluate the prognostic value of P2RY13 expression."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets (GSE68465 and GSE31210) analyzed in the present study were derived from publicly accessible databases (TCGA: https://portal.gdc.cancer.gov/; GEO: https://www.ncbi.nlm.nih.gov/geo/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41601785", "locator": "sections[20] \"Data availability statement\" paragraph 2", "quote": "The datasets (GSE68465 and GSE31210) analyzed in the present study were derived from publicly accessible databases (TCGA: https://portal.gdc.cancer.gov/; GEO: https://www.ncbi.nlm.nih.gov/geo/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "P2RY13 was significantly downregulated in LUAD and predicted poor prognosis independently.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:41601785", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Our results demonstrated that P2RY13 was significantly downregulated in LUAD and predicted poor prognosis independently."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "P2RY13 was significantly downregulated in LUAD and predicted poor prognosis independently.", "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:41601785"], "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:GSE131907"], "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:GSE131907"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:41601785", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fmed.2025.1708670", "sha256": 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