Correlation Between APOBEC3B Expression and Clinical Characterization in Lower-Grade Gliomas.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33842328", "kind": "science-record", "revision": 7, "content_hash": "sha256:3fff8efda6e03dc1835e14cb65313065e47b830ee08e5930a4401dd8fcdef986", "created_at": "2026-11-01T15:41:32Z", "updated_at": "2026-11-01T22:03:32Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Correlation Between APOBEC3B Expression and Clinical Characterization in Lower-Grade Gliomas.", "doi": "10.3389/fonc.2021.625838", "pmid": "33842328", "authors": ["Hao Zhang", "Zhiyang Chen", "Zeyu Wang", "Ziyu Dai", "Zhengang Hu", "Xun Zhang", "Min Hu", "Zhixiong Liu", "Quan Cheng"], "journal": "Frontiers in oncology", "year": 2021, "abstract": "BACKGROUND: As the most aggressive tumors in the central nervous system, gliomas have poor prognosis and limited therapy methods. Immunotherapy has become promising in the treatment of gliomas. Here, we explored the expression pattern of APOBEC3B, a genomic mutation inducer, in gliomas to assess its value as an immune biomarker and immunotherapeutic target.\nMETHODS: We mined transcriptional data from two publicly available genomic datasets, TCGA and CGGA, to investigate the relevance between APOBEC3B and clinical characterizations including tumor classifications, patient prognosis, and immune infiltrating features in gliomas. We especially explored the correlation between APOBEC3B and tumor mutations. Samples from Xiangya cohort were used for immunohistochemistry staining.\nRESULTS: Our findings demonstrated that APOBEC3B expression level was relatively high in advanced gliomas and other cancer types, which indicated poorer prognosis. APOBEC3B also stratified patients' survival in Xiangya cohort. APOBEC3B was significantly associated with infiltrating immune and stromal cell types in the tumor microenvironment. Notably, APOBEC3B was involved in tumor mutation and strongly correlated with the regulation of oncogenic genes.\nCONCLUSION: Our findings identified that APOBEC3B could be a latent molecular target in gliomas.", "claims": [{"id": "claim-method", "statement": "The survival probability was described by Kaplan–Meier survival curves.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33842328", "locator": "sections[6] \"Statistical Analysis\" paragraph 2", "quote": "The survival probability was described by Kaplan–Meier survival curves."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data used in this work can be acquired from the Cancer Genome Atlas (TCGA) datasets (https://xenabrowser.net/), the Chinese Glioma Genome Atlas (CGGA) datasets (http://www.cgga.org.cn/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33842328", "locator": "sections[20] \"Data Availability Statement\" paragraph 2", "quote": "All data used in this work can be acquired from the Cancer Genome Atlas (TCGA) datasets (https://xenabrowser.net/), the Chinese Glioma Genome Atlas (CGGA) datasets (http://www.cgga.org.cn/)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": null, "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:33842328"], "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": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. 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