Clinical and Expression Significance of AKT1 by Co-expression Network Analysis in Endometrial Cancer.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:31781484", "kind": "science-record", "revision": 6, "content_hash": "sha256:3c1640dfe01f6c6c68cb1ab0ea3dc01115b71331f1e4bd2aa769cfa337e8f817", "created_at": "2026-11-01T15:40:52Z", "updated_at": "2026-11-01T21:22:40Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Clinical and Expression Significance of AKT1 by Co-expression Network Analysis in Endometrial Cancer.", "doi": "10.3389/fonc.2019.01147", "pmid": "31781484", "authors": ["Xiao Huo", "Hengzi Sun", "Qian Liu", "Xiangwen Ma", "Peng Peng", "Mei Yu", "Ying Zhang", "Dongyan Cao", "Keng Shen"], "journal": "Frontiers in oncology", "year": 2019, "abstract": "Introduction: Endometrial cancer is one of the most common uterine cancers worldwide. AKT is reported to regulate progesterone receptor B dependent transcription and angiogenesis in endometrial cancer. However, the potential mechanisms of AKT in the tumor progression of endometrial cancer remain unclear. Methods: We used GSE72708 with gene expression profiles of AKT regulation from the GEO database. We performed GSEA analysis to explore pathway enrichments. We found that most upregulated enriched pathways in siAKT group were associated with acid metabolism and immune network. Endometrial cancer and various signaling pathways were downregulated enriched. Moreover, different molecular mechanism of regulation between progestin (R5020) and AKT was identified, which were related to VEGF signaling pathway. The hub genes were evaluated by immunohistochemical staining of endometrial cancer tissues. Results: We screened out a total of 623 differentially expressed genes among different groups. According to weighted gene co-expression network analysis (WGCNA) method, four distinct modules were identified. We found brown module showed a very high positive correlation with siAKT group and a very high negative correlation with R5020 group. A total of six hub genes including PBK, BIRC5, AURKA, GTSE1, KNSTRN, and PSMB10 were finally identified associated with AKT1. In addition, the data also shows that the higher expression of AKT1, GTSE1, BIRC5, AURKA, and KNSTRN is significantly associate with poor prognosis of endometrial cancer. Conclusion: Our study identified six hub genes related to the prognosis of endometrial cancer, which may provide new insights into the underlying biological mechanisms driving the tumorigenesis of endometrial cancer, especially in AKT1 regulation.", "claims": [{"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. 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This data can be found here: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE72708.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE72708.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1868798", "GSM1868799", "GSM1868800", "GSM1868801", "GSM1868802", "GSM1868803", "GSM1868804", "GSM1868805", "GSM1868806", "GSM1868807", "GSM1868808", "GSM1868809"], "sample_count": 12, "group_sizes": null, "group_sizes_basis": null, "platform": "10558", "taxon": "Homo sapiens", "title": "Akt regulates Progesterone Receptor B transcription", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:31781484:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:4dcd65bbcf100a84a2e66f618f71cec5807a546c04337eac32cc1378b67d8f9e", "bytes": 584, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[19]/table-wrap[1]#T1", "version": null, "note": "The cases of different gene expression in endometrial cancer.", "structure": {"pmcid": "PMC6852383", "section_index": 19, "section_title": "Evaluation of the Hub Genes by IHC", "row_count": 4, "column_count": 13}, "table": {"label": "Table 1", "caption": "The cases of different gene expression in endometrial cancer.", "rows": [["Gene", "GTSE1 (+)", "GTSE1 (−)", "BIRC5 (+)", "BIRC5 (−)", "AURKA (+)", "AURKA (−)", "PBK (+)", "PBK (−)", "KNSTRN (+)", "KNSTRN (−)", "PSMB10 (+)", "PSMB10 (−)"], ["AKT1 (+)", "32", "27", "40", "19", "36", "23", "35", "24", "41", "18", "40", "19"], ["AKT1 (−)", "19", "29", "19", "29", "21", "27", "28", "20", "16", "32", "34", "14"], ["χ2", "0.1312", "0.0035", "0.075", "0.9177", "0.0002", "0.7879"]], "row_count": 4, "column_count": 13, "numeric_cells": 33, "header_rows": 1, "locator": "section[19]/table-wrap[1]#T1"}}], "gaps": ["asset:data:geo:GSE72708 not downloaded", "asset:data:geo:GSE72708 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "correlation_analysis", "specific": "pearson", "label": "Correlation analysis", "dsl_operations": ["pearson_r"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["paired_numeric_columns"], "evidence": {"score": 0.8, "band": "high", "quote": "Pearson correlation"}}, {"id": "method-2", "family": "clustering", "specific": "hierarchical", "label": "Clustering", "dsl_operations": ["hierarchical_cluster"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["feature_matrix"], "evidence": {"score": 0.8, "band": "high", "quote": "dendrogram"}}, {"id": "method-3", "family": "network_analysis", "specific": "pathway_enrichment", "label": "Network / pathway analysis", "dsl_operations": ["pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.8, "band": "high", "quote": "pathway enrichment"}}], "targets": [], "gaps": []}, "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": ["pearson_r"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: pearson."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. 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