Analysis of immunotherapeutic response-related signatures in esophageal squamous-cell carcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36817484", "kind": "science-record", "revision": 3, "content_hash": "sha256:3ff977e4b08f1398e8fad450dbe2793a83e97be479946c430bd83c318ce52260", "created_at": "2026-11-01T19:01:24Z", "updated_at": "2026-11-01T22:08:51Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Analysis of immunotherapeutic response-related signatures in esophageal squamous-cell carcinoma.", "doi": "10.3389/fimmu.2023.1117658", "pmid": "36817484", "authors": ["Bohao Zheng", "Jie Li", "Mengdi Zhang", "Pengju Zhang", "Weiwei Deng", "Yang Pu"], "journal": "Frontiers in immunology", "year": 2023, "abstract": "Background: Esophageal squamous cell carcinoma (ESCC) is one of the most common and lethal malignant diseases. Immunotherapy has been widely studied and has exhibited potential in ESCC treatment. However, there are only a portion of ESCC patients have benefited from immunotherapy. We herein identified immunotherapeutic response-related signatures (IRRS) and evaluated their performance in ESCC prognosis and immunotherapeutic responsiveness.\nMethods: We constructed an IRRS using the gene expression data of 274 ESCC patients based on y -30significantly differentially expressed genes, which were compared responders and non-responders from various patient cohorts treated with immunotherapy. Survival analysis was performed in both the GSE53625 and TCGA-ESCC cohorts. We also explored the differences in the tumor microenvironment between the high-IRRS and low-IRRS score groups using single-cell data as a reference. Three immunotherapy cohorts were used to verify the value of the IRRS in predicting immunotherapy response.\nResults: Twelve immunotherapy-related genes were selected to construct a signature score and were validated as independent prognostic predictors for patients with ESCC. Patients with high IRRS scores exhibited an immunosuppressive phenotype. Therefore, patients with low IRRS scores may benefit from immunotherapy.\nConclusions: IRRS score is a biomarker for immunotherapy response and prognosis of ESCC.", "claims": [{"id": "claim-method", "statement": "The least absolute shrinkage and selection operator (LASSO) Cox regression analysis (23) was performed using the R glmnet package (4.1-4) (24) to construct the risk score model.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36817484", "locator": "sections[4] \"Construction and validation of the immunotherapeutic response-related signature\" paragraph 2", "quote": "The least absolute shrinkage and selection operator (LASSO) Cox regression analysis (23) was performed using the R glmnet package (4.1-4) (24) to construct the risk score model."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets used in this study can be acquired here: https://www.ncbi.nlm.nih.gov/geo/ and https://portal.gdc.cancer.gov/. The accession numbers are included in the article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36817484", "locator": "sections[16] \"Data availability statement\" paragraph 2", "quote": "The datasets used in this study can be acquired here: https://www.ncbi.nlm.nih.gov/geo/ and https://portal.gdc.cancer.gov/. The accession numbers are included in the article."}], "state": "complete"}, {"id": "claim-target-result", "statement": "IRRS score is a biomarker for immunotherapy response and prognosis of ESCC.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36817484", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "IRRS score is a biomarker for immunotherapy response and prognosis of ESCC."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "IRRS score is a biomarker for immunotherapy response and prognosis of ESCC.", "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:36817484"], "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:GSE160269"], "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:GSE160269"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36817484", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fimmu.2023.1117658", "sha256": "sha256:6f19715af4a33c0db18c520926383cc6c1774341ece0001ba1ec30782ab0ebff", "bytes": 47936, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fimmu.2023.1117658", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9933905", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE160269", "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=GSE160269", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE160269", "version": null, "note": "The datasets used in this study can be acquired here: https://www.ncbi.nlm.nih.gov/geo/ and https://portal.gdc.cancer.gov/. 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