Development and Validation of a Combined Ferroptosis and Immune Prognostic Model for Melanoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36467505", "kind": "science-record", "revision": 3, "content_hash": "sha256:75f704a1ad2cfe35c31b77322ff78ea69c2ed11c0104989bbd37a416d947e67a", "created_at": "2026-11-01T19:00:57Z", "updated_at": "2026-11-01T22:08:14Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Development and Validation of a Combined Ferroptosis and Immune Prognostic Model for Melanoma.", "doi": "10.1155/2022/1840361", "pmid": "36467505", "authors": ["Mingsui Tang", "Yaling Li", "Fang Wang", "Jiande Han", "Yali Gao"], "journal": "Journal of oncology", "year": 2022, "abstract": "Background: Melanoma development and progression are significantly influenced by ferroptosis and the immune microenvironment. However, there are no reliable biomarkers for melanoma prognosis prediction based on ferroptosis and immunological response.\nMethods: Ferroptosis-related genes (FRGs) were retrieved from the FerrDb website. Immune-related genes (IRGs) were collected in the ImmPort dataset. The TCGA (The Cancer Genome Atlas) and GSE65904 datasets both contained prognostic FRGs and IRGs. The model was created using multivariate Cox regression, the least absolute shrinkage and selection operator (LASSO) Cox regression analysis, and the analysis and comparison between the expression patterns of ferroptosis and immune cell infiltration were done. Last but not least, research was conducted to assess the expression and involvement of the genes in the comprehensive index of ferroptosis and immune (CIFI).\nResults: Two prognostic ferroptosis- and immune-related markers (PDGFRB and FOXM1) were utilized to develop a CIFI. In various datasets and patient subgroups, CIFI exhibits consistent predictive performance. The fact that CIFI is an independent prognostic factor for melanoma patients was revealed. Patients in the CIFI-high group further exhibited immune-suppressive characteristics and had elevated ferroptosis gene expression levels. The results of in vitro research point to the possibility that the PDGFRB and FOXM1 genes function as oncogenes in melanoma.\nConclusion: In this study, a novel prognostic classifier for melanoma patients was developed and validated using ferroptosis and immune expression profiles.", "claims": [{"id": "claim-method", "statement": "Both LASSO analysis and sequential Cox proportional hazards regression were employed to develop CIFI.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36467505", "locator": "sections[4] \"2.2. Construction and Validation of the CIFI\" paragraph 2", "quote": "Both LASSO analysis and sequential Cox proportional hazards regression were employed to develop CIFI."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data that support the findings of this study are available from the corresponding author upon reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36467505", "locator": "sections[23] \"Data Availability\" paragraph 2", "quote": "The data that support the findings of this study are available from the corresponding author upon reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Two prognostic ferroptosis- and immune-related markers (PDGFRB and FOXM1) were utilized to develop a CIFI.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36467505", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Two prognostic ferroptosis- and immune-related markers (PDGFRB and FOXM1) were utilized to develop a CIFI."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Two prognostic ferroptosis- and immune-related markers (PDGFRB and FOXM1) were utilized to develop a CIFI.", "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:36467505"], "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:GSE65904"], "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:GSE65904"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36467505", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2022/1840361", "sha256": "sha256:7e73d36cc913c7a384a573fac18a016ca900cf19f8c9ba7abaace2b8160fe480", "bytes": 21222, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1155/2022/1840361", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9715341", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE65904", "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=GSE65904", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE65904", "version": null, "note": "The data that support the findings of this study are available from the corresponding author upon reasonable request.", 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Cell Culture and Transfection All of the cell lines (PIG1, A375, A875, and", "reviously described [20], were used for cell transfection. PDGFRB-siRNA had the following sequences: 5", "gnant melanoma cells. Small interfering RNA (siRNA) and Lipofectamine 2000 (Invitrogen, Shangha", "20], were used for cell transfection. PDGFRB-siRNA had the following sequences: 5′-GGAAUGAGGUGG"], "order_basis": "paper_text_order:1734", "id": "assay:1"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Both LASSO analysis and sequential Cox proportional hazards regression were employed to develop CIFI."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}