Profiling pro-neural to mesenchymal transition identifies a lncRNA signature in glioma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33028341", "kind": "science-record", "revision": 7, "content_hash": "sha256:4ce8fd5f8ee6e030dabce1ba62dcc10795c86432aaa6083dfc84e46a56933d7f", "created_at": "2026-11-01T15:41:12Z", "updated_at": "2026-11-01T22:02:18Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Profiling pro-neural to mesenchymal transition identifies a lncRNA signature in glioma.", "doi": "10.1186/s12967-020-02552-0", "pmid": "33028341", "authors": ["Qingyu Liang", "Gefei Guan", "Xue Li", "Chunmi Wei", "Jianqi Wu", "Peng Cheng", "Anhua Wu", "Wen Cheng"], "journal": "Journal of translational medicine", "year": 2020, "abstract": "BACKGROUND: Molecular classification has laid the framework for exploring glioma biology and treatment strategies. Pro-neural to mesenchymal transition (PMT) of glioma is known to be associated with aggressive phenotypes, unfavorable prognosis, and treatment resistance. Recent studies have highlighted that long non-coding RNAs (lncRNAs) are key mediators in cancer mesenchymal transition. However, the relationship between lncRNAs and PMT in glioma has not been systematically investigated.\nMETHODS: Gene expression profiles from The Cancer Genome Atlas (TCGA), the Chinese Glioma Genome Atlas (CGGA), GSE16011, and Rembrandt with available clinical and genomic information were used for analyses. Bioinformatics methods such as weighted gene co-expression network analysis (WGCNA), gene set enrichment analysis (GSEA), Cox analysis, and least absolute shrinkage and selection operator (LASSO) analysis were performed.\nRESULTS: According to PMT scores, we confirmed that PMT status was positively associated with risky behaviors and poor prognosis in glioma. The 149 PMT-related lncRNAs were identified by WGCNA analysis, among which 10 (LINC01057, TP73-AS1, AP000695.4, LINC01503, CRNDE, OSMR-AS1, SNHG18, AC145343.2, RP11-25K21.6, RP11-38L15.2) with significant prognostic value were further screened to construct a PMT-related lncRNA risk signature, which could divide cases into two groups with distinct prognoses. Multivariate Cox regression analyses indicated that the signature was an independent prognostic factor for high-grade glioma. High-risk cases were more likely to be classified as the mesenchymal subtype, which confers enhanced immunosuppressive status by recruiting macrophages, neutrophils, and regulatory T cells. Moreover, six lncRNAs of the signature could act as competing endogenous RNAs to promote PMT in glioblastoma.\nCONCLUSIONS: We profiled PMT status in glioma and established a PMT-related 10-lncRNA signature for glioma that could independently predict glioma survival and trigger PMT, which enhanced immunosuppression.", "claims": [{"id": "claim-method", "statement": "Kaplan–Meier survival curves were evaluated with the log-rank test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33028341", "locator": "sections[8] \"Statistical analysis\" paragraph 2", "quote": "Kaplan–Meier survival curves were evaluated with the log-rank test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Please contact author for data requests.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33028341", "locator": "sections[26] \"Availability of data and materials\" paragraph 2", "quote": "Please contact author for data requests."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "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:33028341"], "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:GSE16011"], "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:GSE16011"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33028341", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s12967-020-02552-0", "sha256": "sha256:45b4e956a2fb44031b3f8433981cd841bf7f4065a4aa2ad7c34182b843be2b41", "bytes": 55889, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1186/s12967-020-02552-0", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC7539462", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE16011", "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=GSE16011", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE16011", "version": null, "note": "Please contact author for data requests.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Please contact author for data requests.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM405200", "GSM405201", "GSM405202", "GSM405203", "GSM405204", "GSM405205", "GSM405206", "GSM405207", "GSM405208", "GSM405209", "GSM405210", "GSM405211", "GSM405212", "GSM405213", "GSM405214", "GSM405215", "GSM405216", "GSM405217", "GSM405218", "GSM405219", "GSM405220", "GSM405221", "GSM405222", "GSM405223", "GSM405224", "GSM405225", "GSM405226", "GSM405227", "GSM405228", "GSM405229", "GSM405230", "GSM405231", "GSM405232", "GSM405233", "GSM405234", "GSM405235", "GSM405236", "GSM405237", "GSM405238", "GSM405239", "GSM405240", "GSM405241", "GSM405242", "GSM405243", "GSM405244", "GSM405245", "GSM405246", "GSM405247", "GSM405248", "GSM405249", "GSM405250", "GSM405251", "GSM405252", "GSM405253", "GSM405254", "GSM405255", "GSM405256", "GSM405257", "GSM405258", "GSM405259", "GSM405260", "GSM405261", "GSM405262", "GSM405263", "GSM405264", "GSM405265", "GSM405266", "GSM405267", "GSM405268", "GSM405269", "GSM405270", "GSM405271", "GSM405272", "GSM405273", "GSM405274", "GSM405275", "GSM405276", "GSM405277", "GSM405278", "GSM405279", "GSM405280", "GSM405281", "GSM405282", "GSM405283", "GSM405284", "GSM405285", "GSM405286", "GSM405287", "GSM405288", "GSM405289", "GSM405290", "GSM405291", "GSM405292", "GSM405293", "GSM405294", "GSM405295", "GSM405296", "GSM405297", "GSM405298", "GSM405299", "GSM405300", "GSM405301", "GSM405302", "GSM405303", "GSM405304", "GSM405305", "GSM405306", "GSM405307", "GSM405308", "GSM405309", "GSM405310", "GSM405311", "GSM405312", "GSM405313", "GSM405314", "GSM405315", "GSM405316", "GSM405317", "GSM405318", "GSM405319", "GSM405320", "GSM405321", "GSM405322", "GSM405323", "GSM405324", "GSM405325", "GSM405326", "GSM405327", "GSM405328", "GSM405329", "GSM405330", "GSM405331", "GSM405332", "GSM405333", "GSM405334", "GSM405335", "GSM405336", "GSM405337", "GSM405338", "GSM405339", "GSM405340", "GSM405341", "GSM405342", "GSM405343", "GSM405344", "GSM405345", "GSM405346", "GSM405347", "GSM405348", "GSM405349", "GSM405350", "GSM405351", "GSM405352", "GSM405353", "GSM405354", "GSM405355", "GSM405356", "GSM405357", "GSM405358", "GSM405359", "GSM405360", "GSM405361", "GSM405362", "GSM405363", "GSM405364", "GSM405365", "GSM405366", "GSM405367", "GSM405368", "GSM405369", "GSM405370", "GSM405371", "GSM405372", "GSM405373", "GSM405374", "GSM405375", "GSM405376", "GSM405377", "GSM405378", "GSM405379", "GSM405380", "GSM405381", "GSM405382", "GSM405383", "GSM405384", "GSM405385", "GSM405386", "GSM405387", "GSM405388", "GSM405389", "GSM405390", "GSM405391", "GSM405392", "GSM405393", "GSM405394", "GSM405395", "GSM405396", "GSM405397", "GSM405398", "GSM405399", "GSM405400", "GSM405401", "GSM405402", "GSM405403", "GSM405404", "GSM405405", "GSM405406", "GSM405407", "GSM405408", "GSM405409", "GSM405410", "GSM405411", "GSM405412", "GSM405413", "GSM405414", "GSM405415", "GSM405416", "GSM405417", "GSM405418", "GSM405419", "GSM405420", "GSM405421", "GSM405422", "GSM405423", "GSM405424", "GSM405425", "GSM405426", "GSM405427", "GSM405428", "GSM405429", "GSM405430", "GSM405431", "GSM405432", "GSM405433", "GSM405434", "GSM405435", "GSM405436", "GSM405437", "GSM405438", "GSM405439", "GSM405440", "GSM405441", "GSM405442", "GSM405443", "GSM405444", "GSM405445", "GSM405446", "GSM405447", "GSM405448", "GSM405449", "GSM405450", "GSM405451", "GSM405452", "GSM405453", "GSM405454", "GSM405455", "GSM405456", "GSM405457", "GSM405458", "GSM405459", "GSM405460", "GSM405461", "GSM405462", "GSM405463", "GSM405464", "GSM405465", "GSM405466", "GSM405467", "GSM405468", "GSM405469", "GSM405470", "GSM405471", "GSM405472", "GSM405473", "GSM405474", "GSM405475", "GSM405476", "GSM405477", "GSM405478", "GSM405479", "GSM405480", "GSM405481", "GSM405482", "GSM405483"], "sample_count": 284, "group_sizes": null, "group_sizes_basis": null, "platform": "8542", "taxon": "Homo sapiens", "title": "Intrinsic Gene Expression Profiles of Gliomas are a Better Predictor of Survival than Histology", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE16011 not downloaded", "asset:data:geo:GSE16011 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "log_rank_test", "label": "Survival analysis", "dsl_operations": ["logrank_test"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Kaplan–Meier survival curves were evaluated with the log-rank test."}}, {"id": "method-2", "family": "group_comparison", "specific": "welch_t_test", "label": "Group comparison", "dsl_operations": ["welch_t"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Welch t-test"}}, {"id": "method-3", "family": "group_comparison", "specific": "wilcoxon", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_wilcoxon"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Wilcoxon"}}, {"id": "method-4", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.7, "band": "medium", "quote": "Cox regression"}}, {"id": "method-5", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.8, "band": "high", "quote": "PPI"}}, {"id": "method-6", "family": "contingency_analysis", "specific": "chi_square", "label": "Categorical (contingency table) analysis", "dsl_operations": ["chi_square_test"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["categorical_cross_tabulation"], "evidence": {"score": 0.8, "band": "high", "quote": "χ2"}}], "targets": [], "gaps": ["method.reader_differs_from_extractor"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["logrank_test"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: log_rank_test."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE16011"], "resolved_accessions": ["GSE16011"], "statements": ["Please contact author for data requests."], "basis": "The paper names GSE16011 in GSE16011 and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["logrank_test"], "assets": ["source:pmid:33028341", "data:geo:GSE16011"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE16011"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:23:24Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 3, "usage": {"prompt_tokens": 44928, "completion_tokens": 2428, "cached_tokens": 14848}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:33028341", "type": "paper", "label": "pmid:33028341"}, {"id": "source:pmid:33028341", "type": "manuscript", "label": "PMID 33028341 full text"}, {"id": "data:geo:GSE16011", "type": "dataset", "label": "GEO GSE16011"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:33028341", "type": "paper", "label": "pmid:33028341"}, {"id": "source:pmid:33028341", "type": "manuscript", "label": "PMID 33028341 full text"}, {"id": "data:geo:GSE16011", "type": "dataset", "label": "GEO GSE16011"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-33028341", "type": "extraction", "used": ["source:pmid:33028341"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE16011", "type": "accession_resolution", "used": ["data:geo:GSE16011"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:33028341", "parent_hash": "sha256:ac39d33efbdce0cb427acb7444a5ef58675397b85b3265c51b62e49eb80be6b6", "fork_of": null, "generation": 6}, "gaps": ["asset:data:geo:GSE16011 licence not read", "asset:data:geo:GSE16011 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "rna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": [") [11], which was retrieved from TCGA glioma RNA-seq database (https://cancergenome.nih.gov/) and", "database (https://cancergenome.nih.gov/) and RNA-seq files from other independent studies in the", "ase [12]. Coding mRNA expression profiles of RNAseq or microarray were collected from TCGA, CGGA"], "order_basis": "paper_text_order:2313", "id": "assay:1"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["logrank_test"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Kaplan–Meier survival curves were evaluated with the log-rank test."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}