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pmid:32133283
The Prognostic Significance of Metabolic Syndrome and a Related Six-lncRNA Signature in Esophageal Squamous Cell Carcinoma.
Yu Liu · Liyu Wang · Hengchang Liu · Chunxiang Li · Jie He
Frontiers in oncology · 2020 doi:10.3389/fonc.2020.00061
Paper
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Experiment
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Data
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Analysis
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Execution
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Complete file
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This study will explore the prognostic effect of MetS and the associated lncRNA signature on ESCC. Methods: Our previous RNA-chip data (GSE53624, GSE53622) for 179 ESCC patients were reanalyzed according to MetS. The recurrence-free survival (RFS) was collected for these patients. The status of the MetS-related tumor microenvironment was analyzed with the CIBERSORT and ESTIMATE algorithms. A lncRNA signature was established with univariate and multivariate Cox proportional hazards regression (PHR) analysis and verified using the Kaplan-Meier survival curve analysis and time-dependent receiver operating characteristic (ROC) curves. A clinical predictive model was constructed based on multiple risk factors, evaluated using C-indexes and calibration curves, and verified using data from the GEO and TCGA databases. Results: The results showed that MetS was an independent risk factor for ESCC patients conferring low OS and RFS. Tumor microenvironment analysis indicated that patients with MetS have high stromal scores and M2 macrophage infiltration. A six-lncRNA signature was established by 60 ESCC patients randomly selected from GSE53624 and identified with an effective predictive ability in validation cohorts (59 patients from GSE53624 and 60 patients from GSE53622), subgroup analysis, and ESCC patients from TCGA. MetS and the six-lncRNA signature could be regarded as independent risk factors and enhanced predictive ability in the clinical predictive model. Conclusions: Our results indicated that MetS was associated with poor prognosis in ESCC patients, and the possible mechanism was related to changes in the tumor microenvironment. MetS and the six-lncRNA signature could also serve as independent risk factors with available clinical application value.", "claims": [{"id": "claim-method", "statement": "Next, weighted gene co-expression network analysis (WGCNA) was also used to determine the relationship between the module gene and MetS. Significantly correlated module genes were selected using univariate Cox proportional hazards regression (PHR) analysis to calculate the correlation with OS and RFS. 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"PMC7040247", "section_index": 12, "section_title": "Mets Is an Independent Prognostic Factor for ESCC", "row_count": 59, "column_count": 4}, "table": {"label": "Table 1", "caption": "The clinical characteristics at baseline, stratified by metabolic syndrome (MetS).", "rows": [["Variable", "Without MetS", "With MetS", "p value"], ["No. of patients", "153", "26", ""], ["Age", "", "", "0.061"], ["<50", "21 (13.73%)", "2 (7.69%)", ""], ["50–59", "60 (39.22%)", "6 (23.08%)", ""], ["60–69", "58 (37.91%)", "12 (46.15%)", ""], ["70–79", "11 (7.19%)", "6 (23.08%)", ""], [">80", "3 (1.96%)", "0 (0.00%)", ""], ["Gender", "", "", "0.227"], ["Male", "127 (83.01%)", "19 (73.08%)", ""], ["Female", "26 (16.99%)", "7 (26.92%)", ""], ["Tobacco use", "", "", "0.116"], ["No", "52 (33.99%)", "13 (50.00%)", ""], ["Yes", "101 (66.01%)", "13 (50.00%)", ""], ["Alcohol use", "", "", "0.301"], ["No", "60 (39.22%)", "13 (50.00%)", ""], ["Yes", "93 (60.78%)", "13 (50.00%)", ""], ["Arrhythmia", "", "", "0.903"], ["No", "116 (75.82%)", "20 (76.92%)", ""], ["Yes", "37 (24.18%)", "6 (23.08%)", ""], ["Pneumonia", "", "", "0.367"], ["No", "139 (90.85%)", "25 (96.15%)", ""], ["Yes", "14 (9.15%)", "1 (3.85%)", ""], ["Anastomotic leak", "", "", "0.286"], ["No", "144 (94.12%)", "23 (88.46%)", ""], ["Yes", "9 (5.88%)", "3 (11.54%)", ""], ["Adjuvant therapy", "", "", "0.794"], ["No", "49 (32.03%)", "9 (34.62%)", ""], ["Yes", "104 (67.97%)", "17 (65.38%)", ""], ["T stage", "", "", "0.553"], ["T1", "10 (6.54%)", "2 (7.69%)", ""], ["T2", "21 (13.73%)", "6 (23.08%)", ""], ["T3", "97 (63.40%)", "13 (50.00%)", ""], ["T4", "25 (16.34%)", "5 (19.23%)", ""], ["N stage", "", "", "0.501"], ["N0", "70 (45.75%)", "13 (50.00%)", ""], ["N1", "53 (34.64%)", "9 (34.62%)", ""], ["N2", "18 (11.76%)", "4 (15.38%)", ""], ["N3", "12 (7.84%)", "0 (0.00%)", ""], ["TNM stage", "", "", "0.809"], ["I", "8 (5.23%)", "2 (7.69%)", ""], ["II", "67 (43.79%)", "10 (38.46%)", ""], ["III", "78 (50.98%)", "14 (53.85%)", ""], ["Tumor location", "", "", "0.142"], ["Upper", "19 (12.42%)", "1 (3.85%)", ""], ["Middle", "85 (55.56%)", "12 (46.15%)", ""], ["Lower", "49 (32.03%)", "13 (50.00%)", ""], ["Tumor grade", "", "", "0.066"], ["Well", "31 (20.26%)", "1 (3.85%)", ""], ["Poorly", "43 (28.10%)", "6 (23.08%)", ""], ["Moderately", "79 (51.63%)", "19 (73.08%)", ""], ["Whether death", "", "", "0.047*"], ["No", "67 (43.79%)", "6 (23.08%)", ""], ["Yes", "86 (56.21%)", "20 (76.92%)", ""], ["OS", "37.81 ± 23.01", "27.10 ± 20.00", "0.027*"], ["Whether recurrence", "", "", "0.071"], ["No", "88 (57.52%)", "10 (38.46%)", ""], ["Yes", "65 (42.48%)", "16 (61.54%)", ""], ["RFS", "30.58 ± 25.49", "20.20 ± 21.06", "0.051"]], "row_count": 59, "column_count": 4, "numeric_cells": 108, "header_rows": 1, "locator": "section[12]/table-wrap[1]#T1"}}, {"id": "asset:table:pmid:32133283:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": 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"60–69/50–59", "1.35", "0.87–2.11", "0.185", "1.41", "0.88–2.35", "0.150"], ["", "70–79/50–59", "1.91", "1.01–3.61", "0.047*", "2.08", "1.02–4.25", "0.044*"], ["", ">80/50–59", "5.39", "1.64–17.69", "0.005**", "12.96", "3.62–46.44", "0.0001***"], ["Gender", "Female/male", "1.28", "0.80–2.05", "0.306", "–", "–", "–"], ["Tobacco use", "Yes/no", "0.75", "0.51–1.10", "0.144", "–", "–", "–"], ["Alcohol use", "Yes/no", "0.86", "0.59–1.27", "0.457", "–", "–", "–"], ["Adjuvant therapy", "Yes/no", "1.93", "1.22–3.04", "0.004**", "1.24", "0.74–2.10", "0.413"], ["T stage", "T1/T3", "0.97", "0.44–2.12", "0.935", "1.40", "0.48–4.08", "0.532"], ["", "T2/T3", "1.05", "0.60–1.82", "0.870", "1.26", "0.65–2.45", "0.501"], ["", "T4/T3", "1.64", "1.00–2.67", "0.048*", "1.69", "0.93–3.08", "0.083"], ["N stage", "N1/N0", "2.04", "1.31–3.18", "0.001***", "1.37", "0.68–2.75", "0.379"], ["", "N2/N0", "2.05", "1.14–3.70", "0.017*", "1.20", "0.48–2.97", "0.694"], ["", "N3/N0", "2.97", "1.42–6.19", "0.003**", "1.74", "0.65–4.64", "0.270"], ["TNM stage", "T1/T2", "0.56", "0.17–1.82", "0.336", "0.55", "0.13–2.33", "0.418"], ["", "T3/T2", "2.03", "1.35–3.06", "0.0006***", "1.68", "0.77–3.68", "0.191"], ["Tumor location", "Upper/middle", "1.47", "0.83–2.59", "0.186", "2.03", "1.07–3.86", "0.029*"], ["", "Lower/middle", "0.88", "0.57–1.35", "0.561", "0.66", "0.41–1.07", "0.088"], ["Tumor grade", "Well/moderately", "0.99", "0.57–1.70", "0.961", "1.41", "0.75–2.66", "0.287"], ["", "Poorly/moderately", "1.63", "1.06–2.50", "0.024*", "1.68", "1.05–2.71", "0.032*"], ["MetS", "With/without", "1.73", "1.06–2.82", "0.027*", "2.21", "1.27–3.86", "0.005**"], ["BMI", "Yes/no", "1.30", "0.86–1.96", "0.220", "–", "–", "–"], ["Hyperglycemia", "Yes/no", "1.24", "0.83–1.83", "0.294", "–", "–", "–"], ["Hypertension", "Yes/no", "1.24", "0.83–1.84", "0.290", "–", "–", "–"], ["Triglycerides", "Yes/no", "1.11", "0.65–1.89", "0.701", "–", "–", "–"], ["HDL-C", "Yes/no", "0.95", "0.59–1.54", "0.848", "–", "–", "–"], ["LDL-C", "Yes/no", "1.07", "0.72–1.59", "0.752", "–", "–", "–"], ["Arrhythmia", "Yes/no", "1.12", "0.73–1.72", "0.608", "–", "–", "–"], ["Pneumonia", "Yes/no", "1.43", "0.72–2.83", "0.309", "–", "–", "–"], ["Anastomotic leak", "Yes/no", "1.30", "0.60–2.80", "0.503", "–", "–", "–"]], "row_count": 32, "column_count": 8, "numeric_cells": 150, "header_rows": 2, "locator": "section[12]/table-wrap[2]#T2"}}, {"id": "asset:table:pmid:32133283:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:cb6a34361eaece7d7625d042360cada0a49ac17014d401fc19e6c4b341f29dc9", "bytes": 2756, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[12]/table-wrap[3]#T3", "version": null, "note": "Association between metabolic syndrome (MetS) and recurrence-free survival (RFS) in 179 patients in a univariate and multivariable analysis.", "structure": {"pmcid": "PMC7040247", "section_index": 12, "section_title": "Mets Is an Independent Prognostic Factor for ESCC", "row_count": 32, "column_count": 8}, "table": {"label": "Table 3", "caption": "Association between metabolic syndrome (MetS) and recurrence-free survival (RFS) in 179 patients in a univariate and multivariable analysis.", "rows": [["", "", "", "Univariable", "", "", "Multivariable", ""], ["Variable", "", "Hazard ratio", "95% confidence interval", "p", "Hazard ratio", "95% confidence interval", "p"], ["Age", "<50/50–59", "1.36", "0.74–2.51", "0.325", "1.83", "0.90–3.70", "0.094"], ["", "60–69/50–59", "0.75", "0.45–1.26", "0.283", "0.83", "0.46–1.48", "0.525"], ["", "70–79/50–59", "0.97", "0.43–2.21", "0.947", "1.06", "0.43–2.62", "0.892"], ["", ">80/50–59", "1.13", "0.15–8.32", "0.901", "2.25", "0.28–17.89", "0.445"], ["Gender", "Female/male", "0.75", "0.41–1.39", "0.359", "–", "–", "–"], ["Tobacco use", "Yes/no", "1.18", "0.74–1.88", "0.492", "–", "–", "–"], ["Alcohol use", "Yes/no", "1.31", "0.83–2.06", "0.247", "–", "–", "–"], ["Adjuvant therapy", "Yes/no", "8.50", "3.69–19.55", "0.0001***", "5.34", "2.23–12.77", "0.0002***"], ["T stage", "T1/T3", "1.13", "0.48–2.65", "0.776", "1.18", "0.36–3.82", "0.787"], ["", "T2/T3", "0.80", "0.39–1.64", "0.548", "1.03", "0.44–2.39", "0.946"], ["", "T4/T3", "2.38", "1.41–4.04", "0.001**", "1.40", "0.74–2.64", "0.303"], ["N stage", "N1/N0", "2.51", "1.47–4.29", "0.0001***", "1.03", "0.45–2.35", "0.940"], ["", "N2/N0", "3.26", "1.67–6.39", "0.0001***", "1.11", "0.41–2.99", "0.833"], ["", "N3/N0", "6.56", "3.08–14.00", "0.0001***", "2.21", "0.74–6.61", "0.156"], ["TNM stage", "T1/T2", "1.15", "0.34–3.89", "0.822", "1.18", "0.28–5.02", "0.824"], ["", "T3/T2", "3.67", "2.18–6.18", "0.0001***", "2.72", "1.12–6.61", "0.027*"], ["Tumor location", "Upper/middle", "1.50", "0.79–2.83", "0.217", "1.37", "0.65–2.86", "0.406"], ["", "Lower/middle", "0.85", "0.52–1.39", "0.513", "0.58", "0.34–1.00", "0.051"], ["Tumor grade", "Well/moderately", "0.76", "0.39–1.46", "0.403", "1.02", "0.47–2.21", "0.959"], ["", "Poorly/moderately", "1.00", "0.60–1.66", "0.989", "0.86", "0.49–1.51", "0.597"], ["MetS", "With/without", "1.71", "0.99–2.96", "0.055", "2.39", "1.29–4.43", "0.005**"], ["BMI", "Yes/no", "1.24", "0.77–2.00", "0.373", "–", "–", "–"], ["Hyperglycemia", "Yes/no", "1.58", "1.02–2.46", "0.040*", "–", "–", "–"], ["Hypertension", "Yes/no", "1.14", "0.72–1.79", "0.574", "–", "–", "–"], ["Triglycerides", "Yes/no", "1.04", "0.57–1.93", "0.888", "–", "–", "–"], ["HDL-C", "Yes/no", "0.68", "0.38–1.24", "0.211", "–", "–", "–"], ["LDL-C", "Yes/no", "0.93", "0.59–1.48", "0.759", "–", "–", "–"], ["Arrhythmia", "Yes/no", "0.99", "0.59–1.66", "0.981", "–", "–", "–"], ["Pneumonia", "Yes/no", "1.10", "0.48–2.53", "0.821", "–", "–", "–"], ["Anastomotic leak", "Yes/no", "1.03", "0.42–2.54", "0.952", "–", "–", "–"]], "row_count": 32, "column_count": 8, "numeric_cells": 150, "header_rows": 2, "locator": "section[12]/table-wrap[3]#T3"}}, {"id": "asset:table:pmid:32133283:4", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:eb277250bb3200fdfe6eabfe83a81829433accb02c2c9b54229414fc2bbc410d", "bytes": 1200, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[16]/table-wrap[1]#T4", "version": null, "note": "The multivariable analysis for MetS and six-lncRNA signature.", "structure": {"pmcid": "PMC7040247", "section_index": 16, "section_title": "The Six-lncRNA Signature Is an Independent Risk Factor", "row_count": 11, "column_count": 8}, "table": {"label": "Table 4", "caption": "The multivariable analysis for MetS and six-lncRNA signature.", "rows": [["Group", "Factors", "Overall survival (OS)", "Recurrence-free survival (RFS)"], ["", "", "HR", "95% CI", "p", "HR", "95% CI", "p"], ["60 patients(training)", "MetS", "4.26", "1.13–16.03", "0.031*", "5.87", "1.20–28.62", "0.028*"], ["", "Six-lncRNA signature", "3.49", "1.57–7.77", "0.002**", "5.27", "1.56–17.75", "0.007**"], ["59 patients (validation 1)", "MetS", "9.82", "1.96–49.10", "0.005**", "84.26", "5.67–1253.30", "0.001**"], ["", "Six-lncRNA signature", "7.21", "2.02–25.76", "0.002**", "104.03", "7.90–1370.66", "0.0004***"], ["60 patients (validation 2)", "MetS", "2.38", "0.75–7.54", "0.141", "1.32", "0.42–4.16", "0.635"], ["", "Six-lncRNA signature", "3.00", "1.18–7.62", "0.02*", "3.37", "0.96–11.81", "0.058"], ["Total 179 patients", "MetS", "2.67", "1.48–4.83", "0.001**", "2.40", "1.25–4.60", "0.008**"], ["", "Six-lncRNA signature", "3.97", "2.47–6.36", "0.0001***", "3.23", "1.95–5.35", "0.0001***"], ["80 patients from TCGA", "Six-lncRNA signature", "5.37", "1.02–28.41", "0.047*", "3.47", "1.04–11.62", "0.043*"]], "row_count": 11, "column_count": 8, "numeric_cells": 61, "header_rows": 2, "locator": "section[16]/table-wrap[1]#T4"}}], "gaps": ["asset:data:geo:GSE53622 not downloaded", "asset:data:geo:GSE53622 licence not read", "asset:data:geo:GSE53624 not downloaded", "asset:data:geo:GSE53624 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "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": 1.0, "band": "verbatim", "quote": "Next, weighted gene co-expression network analysis (WGCNA) was also used to determine the relationship between the module gene and MetS. Significantly correlated module genes were selected using univariate Cox proportional hazards regression (PHR) analysis to calculate the correlation with OS and RFS. The identified lncRNAs with |z| > 2 were selected, and then, multivariate stepwise Cox PHR analysis was used to build a lncRNA predicting model and identify the best risk score cutoff value to distinguish ESCC patients."}}, {"id": "method-2", "family": "survival_analysis", "specific": "kaplan_meier", "label": "Survival analysis", "dsl_operations": ["survival_km"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.7, "band": "medium", "quote": "Kaplan-Meier"}}, {"id": "method-3", "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": 0.8, "band": "high", "quote": "log-rank"}}, {"id": "method-4", "family": "differential_expression", "specific": "edger", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 0.8, "band": "high", "quote": "edgeR"}}, {"id": "method-5", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 0.8, "band": "high", "quote": "limma"}}], "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": ["cox_ph"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards."}, "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": ["GSE53624", "GSE53622"], "resolved_accessions": ["GSE53624", "GSE53622"], "statements": ["The data that support the findings of this study come from the public free-charged database, and the new clinical information will be available from the corresponding author, without undue reservation, to any qualified researcher."], "basis": "The paper names GSE53624, GSE53622 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["cox_ph"], "assets": ["source:pmid:32133283", "data:geo:GSE53622", "asset:table:pmid:32133283:1", "asset:table:pmid:32133283:2", "asset:table:pmid:32133283:3", "asset:table:pmid:32133283:4"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE53622"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:18:37Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 3, "usage": {"prompt_tokens": 23205, "completion_tokens": 2162, "cached_tokens": 784}}, "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:32133283", "type": "paper", "label": "pmid:32133283"}, {"id": "source:pmid:32133283", "type": "manuscript", "label": "PMID 32133283 full text"}, {"id": "data:geo:GSE53622", "type": "dataset", "label": "GEO GSE53622"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:32133283", "type": "paper", "label": "pmid:32133283"}, {"id": "source:pmid:32133283", "type": "manuscript", "label": "PMID 32133283 full text"}, {"id": "data:geo:GSE53622", "type": "dataset", "label": "GEO GSE53622"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-32133283", "type": "extraction", "used": ["source:pmid:32133283"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE53622", "type": "accession_resolution", "used": ["data:geo:GSE53622"], "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:32133283", "parent_hash": "sha256:8522b0ad057e4de5bd4bfab65be07910fd4bbed89ddd2044c4cf270a7c893225", "fork_of": null, "generation": 6}, "gaps": ["asset:data:geo:GSE53622 licence not read", "asset:data:geo:GSE53622 not downloaded", "asset:data:geo:GSE53624 licence not read", "asset:data:geo:GSE53624 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Next, weighted gene co-expression network analysis (WGCNA) was also used to determine the relationship between the module gene and MetS. Significantly correlated module genes were selected using univariate Cox proportional hazards regression (PHR) analysis to calculate the correlation with OS and RFS. The identified lncRNAs with |z| > 2 were selected, and then, multivariate stepwise Cox PHR analysis was used to build a lncRNA predicting model and identify the best risk score cutoff value to distinguish ESCC patients."], "order_basis": "analysis_only", "id": "assay:1"}]}