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pmid:35991559

Development of a prognostic model for children with neuroblastoma based on necroptosis-related genes.

Jing Chu

Frontiers in genetics · 2022 doi:10.3389/fgene.2022.947000

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

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pmid:35991559
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2026-11-01T18:15:08Z
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title
Development of a prognostic model for children with neuroblastoma based on necroptosis-related genes.
doi
10.3389/fgene.2022.947000
pmid
35991559
authors array · 1 item
[0]
Jing Chu
journal
Frontiers in genetics
year
2022
abstract
Background: Neuroblastoma (NBL) is a rare malignant tumor of the peripheral sympathetic nervous system in children with a low overall survival rate. Recent studies have revealed the important role of necroptosis in the occurrence and development of many kinds of tumors. In this study, a prognostic model based on necroptosis-related genes was constructed for NBL. Methods: Expression profiles and clinical information for patients with NBL were downloaded from TARGET. Data for necroptosis-related genes were extracted for Cox regression and lasso regression analyses to evaluate factors associated with prognosis and to construct a prognostic model. Data from the GEO datasets GSE62564 and GSE85047 were used for external verification. Associations between risk scores were calculated, and immune infiltration, drug sensitivity, and mutation analyses were conducted. Functional enrichment analyses of genes in the prognostic model were performed. Results: Six necroptosis-related genes (i.e., CYLD, JAK1, APC, ERH, CNBP, and BAX) were selected to construct a prognostic risk model. The risk score was highly correlated with levels of infiltration of multiple immune cells and sensitivity to common antineoplastic drugs. In addition, the risk score was identified as an independent prognostic factor for patients with NBL. Conclusion: We constructed and validated a prognostic model based on necroptosis-related genes, providing insights into the development and progression of NBL and a basis for improved management. In addition to providing a tool for clinical decision-making, these findings support the importance of necroptosis in NBL and may guide the development of therapeutic strategies targeting this process.
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Univariate and multivariate Cox analyses including age, sex, tumor stage, and necroptosis score were performed to identify independent prognostic factors.
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sections[6] "Model construction and prognosis" paragraph 2
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Univariate and multivariate Cox analyses including age, sex, tumor stage, and necroptosis score were performed to identify independent prognostic factors.
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The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.
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sections[29] "Data availability statement" paragraph 2
quote
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.
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[2] object · 6 fields
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A six-gene necroptosis-related prognostic risk model was constructed and validated for neuroblastoma.
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qualitative
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evidence array · 1 item
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sections[0] "Abstract" paragraph 3
quote
Six necroptosis-related genes (i.e., CYLD, JAK1, APC, ERH, CNBP, and BAX) were selected to construct a prognostic risk model.
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complete
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experiment object · 8 fields
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A six-gene necroptosis-related prognostic risk model was constructed and validated for neuroblastoma.
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https://doi.org/10.3389/fgene.2022.947000
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498
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11154
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Homo sapiens
title
An Investigation of Biomarkers Derived from Legacy Microarray Data for Their Utility in the RNA-Seq Era
resolution_checked_at
2026-11-01T15:39:55Z
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The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.
structure object · 15 fields
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The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.
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283
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null
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null
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5175
taxon
Homo sapiens
title
Gene expression data from primary neuroblastoma tumors
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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false
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Univariate and multivariate Cox analyses including age, sex, tumor stage, and necroptosis score were performed to identify independent prognostic factors.
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method-2
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time_to_event_with_censoring
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evidence object · 3 fields
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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]
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[0]
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.
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The paper names GSE62564, GSE85047 in NCBI GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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minimax
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minimax
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2026-11-01T18:00:57Z
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ods Analysis of immune cell infiltration The RNA-seq data for patients with NBL in different subg
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paper_text_order:2281
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tin accessibility of 30,451 human and 26,013 mouse samples. The regulatory relationships betwee
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paper_text_order:2434
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f2132e96ae6c7a4e
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f2132e96ae6c7a4e
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Univariate and multivariate Cox analyses including age, sex, tumor stage, and necroptosis score were performed to identify independent prognostic factors.
order_basis
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assay:4
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35991559", "kind": "science-record", "revision": 3, "content_hash": "sha256:cf83b85c99d46e805aeb3d2b27d527cfd2cba02776dacb663204543218aafc21", "created_at": "2026-11-01T18:15:08Z", "updated_at": "2026-11-01T21:28:41Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Development of a prognostic model for children with neuroblastoma based on necroptosis-related genes.", "doi": "10.3389/fgene.2022.947000", "pmid": "35991559", "authors": ["Jing Chu"], "journal": "Frontiers in genetics", "year": 2022, "abstract": "Background: Neuroblastoma (NBL) is a rare malignant tumor of the peripheral sympathetic nervous system in children with a low overall survival rate. Recent studies have revealed the important role of necroptosis in the occurrence and development of many kinds of tumors. In this study, a prognostic model based on necroptosis-related genes was constructed for NBL. Methods: Expression profiles and clinical information for patients with NBL were downloaded from TARGET. Data for necroptosis-related genes were extracted for Cox regression and lasso regression analyses to evaluate factors associated with prognosis and to construct a prognostic model. Data from the GEO datasets GSE62564 and GSE85047 were used for external verification. Associations between risk scores were calculated, and immune infiltration, drug sensitivity, and mutation analyses were conducted. Functional enrichment analyses of genes in the prognostic model were performed. Results: Six necroptosis-related genes (i.e., CYLD, JAK1, APC, ERH, CNBP, and BAX) were selected to construct a prognostic risk model. The risk score was highly correlated with levels of infiltration of multiple immune cells and sensitivity to common antineoplastic drugs. In addition, the risk score was identified as an independent prognostic factor for patients with NBL. Conclusion: We constructed and validated a prognostic model based on necroptosis-related genes, providing insights into the development and progression of NBL and a basis for improved management. In addition to providing a tool for clinical decision-making, these findings support the importance of necroptosis in NBL and may guide the development of therapeutic strategies targeting this process.", "claims": [{"id": "claim-method", "statement": "Univariate and multivariate Cox analyses including age, sex, tumor stage, and necroptosis score were performed to identify independent prognostic factors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35991559", "locator": "sections[6] \"Model construction and prognosis\" paragraph 2", "quote": "Univariate and multivariate Cox analyses including age, sex, tumor stage, and necroptosis score were performed to identify independent prognostic factors."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35991559", "locator": "sections[29] \"Data availability statement\" paragraph 2", "quote": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A six-gene necroptosis-related prognostic risk model was constructed and validated for neuroblastoma.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35991559", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Six necroptosis-related genes (i.e., CYLD, JAK1, APC, ERH, CNBP, and BAX) were selected to construct a prognostic risk model."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A six-gene necroptosis-related prognostic risk model was constructed and validated for neuroblastoma.", "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:35991559"], "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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