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pmid:30910840
FAM83D is associated with gender, AJCC stage, overall survival and disease-free survival in hepatocellular carcinoma.
Xuling Liu · Hong Gao · Jie Zhang · Dongying Xue
Bioscience reports · 2019 doi:10.1042/BSR20181640
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Experiment
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Complete file
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Validated in GSE33006, GSE45436, GSE84402 and TCGA, FAM83D was significantly overexpressed in tumor tissues than that in adjacent tissues (all P<0.01). FAM83D up-regulation was significantly associated with worse overall survival (OS) and disease-free survival (DFS) in HCC patients (Log rank P=0.00583 and P=4.178E-04, respectively). Cox analysis revealed that FAM83D high expression was significantly associated with OS in HCC patients [hazard ratio (HR) = 1.44, 95% confidence interval (CI) = 1.005-2.063, P=0.047]. Additionally, patients deceased or recurred/progressed had significantly higher FAM83D mRNA levels than those living or disease-free (P=0.0011 and P=0.0238, respectively). FAM83D high expression group had significantly more male patients and advanced American Joint Committee on Cancer (AJCC) stage cases (P=0.048 and P=0.047, respectively). FAM83D mRNA were significantly overexpressed in male (P=0.0193). Compared with patients with AJCC stage I, those with AJCC stage II and stage III-IV had significantly higher FAM83D mRNA levels (P = 0.0346 and P=0.0045, respectively). In conclusion, overexpressed in tumors, FAM83D is associated with gender, AJCC stage, tumor recurrence and survival in HCC.", "claims": [{"id": "claim-method", "statement": "The gene expression data were processed using the RMA algorithm. Differences between the individual groups were analyzed using Student’s t-test, χ2 test or Ridit analysis. The Kaplan–Meier method was used to compare OS and RFS between different groups, and the log-rank test was used to estimate the difference in survivals. 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(IQR), years", "61 (17)", "61 (19)", "0.257"], ["BMI, median (IQR), kg/m2", "23.9 (7.31)", "23.8 (7.31)", "0.372"], ["Race, n (%)", "", "", "0.116"], ["Asian", "75 (40.8)", "84 (45.9)", ""], ["White", "96 (52.2)", "83 (45.4)", ""], ["Black or African American", "5 (2.7)", "12 (6.6)", ""], ["Family history of cancer, n (%)", "61 (33.2)", "50 (27.3)", "0.224"], ["Neoplasm histologic grade, n (%)", "", "", ""], ["G1–2", "122 (66.3)", "105 (57.4)", "0.065"], ["G3–4", "59 (32.1)", "76 (41.5)", ""], ["AJCC stage, n (%)", "", "", "0.047"], ["I", "96 (52.2)", "75 (41.0)", ""], ["II", "37 (20.1)", "46 (25.1)", ""], ["III", "34 (18.5)", "51 (27.9)", ""], ["IV", "3 (1.6)", "1 (0.5)", ""], ["Vascular invasion, n (%)", "", "", "0.958"], ["Macro", "9 (4.9)", "8 (4.4)", ""], ["Micro", "46 (25.0)", "44 (24.0)", ""], ["None", "108 (58.7)", "96 (52.5)", ""], ["Child-pugh classification, n (%)", "", "", "0.574"], ["A", "115 (62.5)", "103 (56.3)", ""], ["B", "10 (5.4)", "11 (6.0)", ""], ["C", "1 (0.5)", 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["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "reordered", "quote": "The gene expression data were processed using the RMA algorithm. Differences between the individual groups were analyzed using Student’s t-test, χ2 test or Ridit analysis. The Kaplan–Meier method was used to compare OS and RFS between different groups, and the log-rank test was used to estimate the difference in survivals. Factors associated with the OS in HCC patients were assessed both by Cox univariate and multivariate analysis."}}, {"id": "method-2", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": [], "expressible": true, "parameters": {"hazard_ratio": "S in HCC patients (both HR > 1"}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.8, "band": "high", "quote": "Cox regression"}}, {"id": "method-3", "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": []}, "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": ["GSE33006", "GSE45436", "GSE84402"], "resolved_accessions": ["GSE33006", "GSE45436", "GSE84402"], "statements": ["Gene expression profiles for HCC including GSE33006, GSE45436 and GSE84402 were obtained from Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/). Tumor and adjacent samples in GSE33006 [17], GSE45436 and GSE84402 [18] were processed on Affymetrix Human Genome U133 Plus 2.0 Array."], "basis": "The paper names GSE33006, GSE45436, GSE84402 in Gene Expression Omnibus (GEO) database and the accession resolves in the repository. 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Differences between the individual groups were analyzed using Student’s t-test, χ2 test or Ridit analysis. The Kaplan–Meier method was used to compare OS and RFS between different groups, and the log-rank test was used to estimate the difference in survivals. Factors associated with the OS in HCC patients were assessed both by Cox univariate and multivariate analysis."], "order_basis": "analysis_only", "id": "assay:1"}]}