Abstract 3095: Prognostic Significance Of Post-revascularisation Irreversible Myocardial Injury Detected By Cardiovascular Magnetic Resonance Imaging

Background The prognostic significance of revascularization procedure related myocardial injury is uncertain. Delayed enhancement CMR (DE-CMR) has been shown to reliably identify areas of irreversible myocardial injury. We evaluated the prognostic significance of procedure related myocardial injury in a consecutive series of patients undergoing high risk PCI or CABG. Methods/Results 152 patients underwent DE-CMR pre and 1– 6 days post elective PCI or CABG. Primary endpoint was defined as total mortality, non-fatal MI, ventricular arrhythmia terminated by ICD (VA), and unstable angina or heart failure requiring hospitalization. Secondary endpoint was the composite of total mortality, non-fatal MI and VA. During a median follow-up of 2.9 years, 27 patients (18%) reached the primary endpoint and 12 patients (8%) the secondary endpoint. 49 patients (32%) had evidence of new myocardial hyperenhancement (HE) with a median mass of 5.0g (IQR 4.8 –7.1). In a univariate analysis, age, LV EF post intervention, and presence of new HE were predictive of the primary outcome. Elevated troponin (at 24 h) showed a trend towards poorer outcome. In a multivariate Cox regression analysis only age and presence of new HE (HR 2.7, 95% CI 1.1, 5.8) remained independently correlated with occurrence of the primary endpoint. New myocardial HE was the single independent predictor of the composite secondary endpoint (HR 4.2 95% CI 1.2, 16.1). Conclusion Even small amounts of procedure-related myocardial injury are associated with poorer medium term clinical outcomes. CMR identified myocardial injury may be a stronger prognostic marker than cardiac troponin in the setting of coronary revascularisation.

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Coexpression of PDGFR-Alpha, PDGFR-Beta and VEGF as a Prognostic Factor in Patients with Hepatocellular Carcinoma

The International Journal of Biological Markers ◽

10.5301/jbm.2011.8322 ◽

2011 ◽

Vol 26 (2) ◽

pp. 108-116 ◽

Cited By ~ 15

Author(s):

Li Chen ◽

Yan Shi ◽

Cheng-ying Jiang ◽

Li-xin Wei ◽

Ya-li Lv ◽

...

Keyword(s):

Hepatocellular Carcinoma ◽

Growth Factor ◽

Proportional Hazards Model ◽

Cox Regression ◽

Univariate Analysis ◽

Prognostic Significance ◽

Disease Free Survival ◽

Hazard Ratio ◽

Cox Proportional Hazards Model ◽

Cox Regression Analysis

Aims To evaluate the prognostic value of vascular endothelial growth factor (VEGF), platelet-derived growth factor receptor-alpha (PDGFR-α) and beta (PDGFR-β) expression in patients with hepatocellular carcinoma (HCC). Methods The expression of PDGFR-α, PDGFR-β and VEGF in 63 HCC patients who underwent curative resection was examined by immunohistochemistry (IHC). The correlations between the expression of these biomarkers and the clinicopathological characteristics were analyzed. Patient survival was analyzed by univariate analysis and Cox proportional hazards model. Results Univariate survival analysis showed that PDGFR-α or PDGFR-β overexpression was of no prognostic significance in predicting disease-free survival (DFS) and overall survival (OS) (p>0.05), while VEGF overexpression and PDGFR-α/PDGFR-β/VEGF coexpression were significantly correlated with worse DFS and poorer OS in HCC patients (P<0.05). More importantly, PDGFR-α/PDGFR-β/VEGF coexpression was an independent prognostic marker for poor survival as indicated by multivariate Cox regression analysis (DFS, hazard ratio 3.122, p=0.001; OS, hazard ratio 4.260, p=0.000). Conclusions Coexpression of PDGFR-α, PDGFR-β and VEGF could be considered an independent prognostic biomarker for predicting DFS and OS in HCC patients. This result could be used to identify patients at a higher risk of tumor recurrence and poor prognosis, and help to select therapeutic schemes for the treatment of HCC.

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LINC01268 and CTB-31O20.2 as Prognostic and Functional Protective Immune Related lncRNAs in Glioblastoma

10.21203/rs.3.rs-349157/v1 ◽

2021 ◽

Author(s):

Dong-Hui Liu ◽

Xiu Yang ◽

Han Meng ◽

Gui Yun Zhang ◽

Shanghang Shen

Keyword(s):

Cox Regression ◽

Univariate Analysis ◽

Prognostic Significance ◽

Cox Regression Analysis ◽

Invasion And Migration ◽

Kaplan Meier ◽

Competitive Endogenous Rnas ◽

The Central Nervous System ◽

And Migration ◽

Immune Related Genes

Abstract Glioblastoma (GBM) is the most common and deadly tumor in the central nervous system. Recent studies illuminated that long noncoding RNAs (lncRNAs) serve as competitive endogenous RNAs (ceRNAs) and play an important role in GBM by regulating immune responses. Here, GBM datasets from TCGA database were analyzed to obtain 356 significantly differentially expressed lncRNAs (DE-lncRNAs), 4951 DE-mRNAs, and 34 DE-miRNAs in GBM, respectively. For mRNAs, 369 DE-mRNAs were identified as immune-related genes in Immport database. For DE-lncRNAs, univariate analysis identified 39 DE-lncRNAs with prognostic significance, and 9 DE-lncRNAs are included in ImmLnc database. Then, combined analysis was conducted, by integrating 9 immune related DE-lncRNAs, 369 immune related DE-mRNAs and 34 DE-miRNAs, and generated a ceRNA network composed of 2 upregulated lncRNAs (LINC01268 and CTB-31O20.2), 3 downregulated miRNAs and 5 upregulated mRNAs. Then we focused on LINC01268 and CTB-31O20.2, and Kaplan-Meier survival, univariate and multivariate Cox regression analysis showed that LINC01268 and CTB-31O20.2 serve as independent protective prognostic markers in GBM. Finally, LINC01268 and CTB-31O20.2 overexpression was conducted in GBM cell U251. CCK8, transwell and scratch healing assay indicated that LINC01268 and CTB-31O20.2 inhibits GBM cell line U251 proliferation, invasion and migration. To sum up, LINC01268 and CTB-31O20.2 are independent prognostic immune related markers, and reduces cancer cell proliferation and metastasis in GBM.

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Prognostic significance of carbohydrate antigen 125 in acute heart failure: a prospective comparative study with N-terminal pro-B-type natriuretic peptide

10.21203/rs.3.rs-864855/v1 ◽

2021 ◽

Author(s):

Ji Zhang ◽

Wenhua Li ◽

Gaojun Cai ◽

Jianqiang Xiao ◽

Jie Hui ◽

...

Keyword(s):

Heart Failure ◽

Adverse Events ◽

Acute Heart Failure ◽

Natriuretic Peptide ◽

Primary Endpoint ◽

Cox Regression ◽

Prognostic Significance ◽

Carbohydrate Antigen ◽

Cox Regression Analysis ◽

Carbohydrate Antigen 125

Abstract Background In acute heart failure (AHF), elevated carbohydrate antigen 125 (CA125) and N-terminal pro-B-type natriuretic peptide (NTproBNP) have shown to correlate with adverse events. We sought to quantify their prognostic usefulness in predicting the 6-month combined endpoint of death/heart failure readmission. Methods The study includes 352 patients admitted for AHF. The primary endpoint was 6-month combined endpoint of death/AHF rehospitalization. CA125 and NTproBNP were dichotomized according to the best cut-offs to predict 6-month primary endpoint. By multivariate Cox regression analysis, the independent association of CA125 and NTproBNP with the primary endpoint was assessed, and their incremental prognostic utility evaluated by net reclassification improvement (NRI) and integrated discrimination improvement (IDI) index. Results A total of 47 (13.4%) deaths and 113 (32.1%) AHF rehospitalizations were identified at 6-month follow-up. The subjects with CA125 ≥ 39.7 U/ml and NTproBNP ≥ 3900 pg/ml had significantly higher cumulative event rates (56.1% vs. 33.3% and 53.3% vs. 33.8%, both P < 0.001). Elevated CA125 (HR 1.93; 95%CI [1.32–2.83]; P = 0.001) was associated with higher HR than NTproBNP ≥ 3900 pg/ml (HR 1.71; 95%CI [1.19–2.48]; P = 0.004) after adjusting for established risk factors. Elevated CA125 still independently predicted adverse events when both CA125 and NTproBNP were entered together in the same multivariate model. Furthermore, risk reclassification analyses demonstrated significant improvements in NRI of 22.3% (P = 0.014) and IDI of 2.7% (P = 0.012) when adding CA125 to the base model + NTproBNP. Conclusions Elevated CA125 and NTproBNP predicted adverse outcomes in AHF patients. CA125 added prognostic value to NTproBNP, and thus, their combination conferred greater predictive capacity.

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What is the risk of a patient with severe aortic stenosis while waiting for aortic valve intervention?

European Heart Journal ◽

10.1093/ehjci/ehaa946.1978 ◽

2020 ◽

Vol 41 (Supplement_2) ◽

Author(s):

A Marques ◽

R Cale ◽

I Cruz ◽

I Joao ◽

A.R Pereira ◽

...

Keyword(s):

Heart Failure ◽

Aortic Stenosis ◽

Waiting Time ◽

Primary Endpoint ◽

Cox Regression ◽

Univariate Analysis ◽

Systolic Pulmonary Artery Pressure ◽

Cox Regression Analysis ◽

The Impact ◽

Prior Stroke

Abstract Introduction Severe symptomatic aortic stenosis is associated with high mortality without intervention. However, true waiting times for aortic valvular intervention (AVI) and the risks associated with it are not known. Objectives To measure the waiting time between referral and AVI. To determine the impact of the waiting time for AVI by assessing the occurrence of adverse events during this period. To assess predictors of adverse outcomes during this period in view to identify patients (pts) who may require earlier AVI. Methods Retrospective single-center study of consecutive outpatients referred for AVI (either surgically or transcatheter (TAVI)) since 2014 to 2018. The primary endpoint was hospitalization due to heart failure or death from any cause, occurring in the waiting time for AVI. Cox regression analysis was performed. Results Were included 120 pts (54% male, mean age 75±9 years). 113 (94%) pts had high-gradient aortic stenosis. They were mainly in NHYA class II (56%). Fatigue was the main symptom (83%). The median NT-proBNP value was 819 (IQR 319–1780) ng/L. The mean peak velocity was 4.5±0.5 m/s, median gradient of 45 (IQR 42–54) mmHg, mean VTIs ratio of 0,21±0.04, with a mean estimated valvular area of 0.7±0.2 cm2 (0.4±0.1 cm2/m2). During a mean follow-up of 24±14 months since referral, 108 (90%) pts were submitted to AVI (75 pts underwent surgery; 33 pts underwent TAVI). The median waiting time for AVI was 4 (IQR 2–6) months (0–35 months). The median waiting time for surgery was 3 (IQR 2–6) months and for TAVI was 4 (IQR 3–8) months (p=0.25). The primary endpoint occurred in 19 (16%) pts: 13 (11%) pts were hospitalized due to heart failure and 7 (6%) pts died. The median time between referral and the occurrence of the primary endpoint was 3 (IQR 1–9) months. In univariate analysis, age >80 years, NHYA class ≥3, prior stroke and NT-proBNP were positively associated with the occurrence of the primary endpoint (p<0.05). After multivariate analysis, prior stroke (HR 5; 95% CI 1.2–24; p=0.03) and NT-proBNP (HR 1/unit; 95% CI 1–1.001; p=0.01) were independently associated with events occurrence. NT-proBNP was an independent predictor of events with a good discriminative value (area under the ROC curve 0.73; 95% CI 0.61–0.83; p=0.004). NT-proBNP cut-off value of >1207ng/L identified pts with an event while waiting AVI with a sensitivity and specificity value of 69 and 73%, respectively. Left ventricle ejection fraction, severity parameters of aortic stenosis, systolic pulmonary artery pressure, concomitant coronary artery disease and the time between diagnosis and referral were not associated with the primary endpoint. Conclusion Mortality and worsening of heart failure while waiting for aortic valvular intervention occurred frequently. Factors such NT-pro-BNP and personal history of stroke can help to identify pts who may benefit from earlier intervention. Funding Acknowledgement Type of funding source: None

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Prognostic Significance of Clusterin Expression in Advanced-Stage Cervical Cancer Treated With Curative Intended Radiotherapy

International Journal of Gynecological Cancer ◽

10.1097/igc.0b013e31821a03d9 ◽

2012 ◽

Vol 22 (3) ◽

pp. 465-470 ◽

Cited By ~ 3

Author(s):

Hidemichi Watari ◽

Rumiko Kinoshita ◽

Yimin Han ◽

Lei Wang ◽

Masayoshi Hosaka ◽

...

Keyword(s):

Cervical Cancer ◽

Overall Survival ◽

Prognostic Factors ◽

Cox Regression ◽

Univariate Analysis ◽

Prognostic Significance ◽

Advanced Stage ◽

Histologic Type ◽

Clinicopathological Factors ◽

Cox Regression Analysis

ObjectiveOverexpression of clusterin (CLU), an antiapoptotic molecule, has been reported to induce resistance to radiotherapy (RT) in a variety of cancer cell types. The aim of this study was to evaluate the significance of CLU expression to predict survival of patients with advanced-stage cervical cancer who received curative intended RT.MethodsBiopsy tissue specimens of advanced-stage cervical cancer before curative intended RT were obtained from 34 patients who were treated at Hokkaido University Hospital between 1998 and 2008 and whose complete medical records were available. The expression of CLU protein was analyzed by immunohistochemistry. Findings were evaluated in relation to several clinicopathological factors. Survival analyses were performed using the Kaplan-Meier curves and the log-rank test. Independent prognostic factors were determined by multivariate Cox regression analysis.ResultsClusterin protein was mainly present in the cytoplasm of cervical cancer cells. The expression of CLU protein in cervical cancer tissues before curative intended RT was not significantly related to any clinicopathological factors analyzed, including age, clinical stage, histologic type, and response to RT. Univariate analysis on prognostic factors showed that histologic type (P= 0.001), and CLU expression (P= 0.02) were related to survival. Multivariate analysis revealed that both histologic type (P= 0.002), and CLU expression (P= 0.02) were independent prognostic factors for overall survival.ConclusionWe conclude that CLU could be a new molecular marker to predict overall survival of patients with advanced-stage cervical cancer treated with curative intended RT.

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PCAT-1 Expression is Associated With The Prognosis in Prostate Cancer.

10.21203/rs.3.rs-112933/v1 ◽

2020 ◽

Author(s):

Sheng Li ◽

Xiaolan Ruan ◽

Tongzu Liu

Keyword(s):

Prostate Cancer ◽

Cox Regression ◽

Prognostic Biomarker ◽

Univariate Analysis ◽

Prognostic Significance ◽

Survival Curves ◽

Chi Square ◽

Cox Regression Analysis ◽

Chi Square Test ◽

Cox Analysis

Abstract Purpose: In the study, we aimed to estimate the prognostic significance of PCAT-1 in patients with prostate cancer (PCa).Methods: The expression of PCAT-1 in paired PCa tissues and normal controls was examined via quantitative real-time polymerase chain reaction (qRT-PCR). The influence of PCAT-1 level on clinical features was assessed using Chi-square test. The survival curves were plotted to estimate the prognosis of patients. And the Cox analysis was carried out to find promising predictive factors for patients.Results: The expression level of PCAT-1 in PCa tissues was significantly elevated compared with the adjacent normal control (P<0.0001). The increased expression of PCAT-1 was affected by high Gleason score (P=0.017), positive serum PSA (P=0.011) and advanced TNM stage (P=0.003). The Kaplan-Meier survival curves showed that the overall survival rate of patients with high PCAT-1 expression was significantly lower than those with low PCAT-1 expression (P<0.001). Both univariate analysis (P=0.000, HR=10.623, 95%CI=5.798-19.464) and multivariate Cox regression analysis (P=0.000, HR=10.996, 95%CI=5.896-20.507) revealed that PCAT-1 could act as a prognostic biomarker for PCa patients.Conclusion: Taken together, overexpression of PCAT-1 is involved in PCa progression and could be a potential prognostic biomarker for PCa patients.

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Different Prognostic Significance of Cardiac Troponin at Presentation and Peak Cardiac Troponin in Patients with Non-ST Segment Elevation Myocardial Infarction

Cardiology ◽

10.1159/000445104 ◽

2016 ◽

Vol 134 (4) ◽

pp. 384-388 ◽

Cited By ~ 1

Author(s):

Gerasimos Siasos ◽

George Lazaros ◽

Evangelos Oikonomou ◽

Theodoros Zografos ◽

Dimitris Athanasiou ◽

...

Keyword(s):

Myocardial Infarction ◽

Cardiac Troponin ◽

Troponin I ◽

Cox Regression ◽

Univariate Analysis ◽

Prognostic Significance ◽

Cardiac Troponin I ◽

High Risk Population ◽

Cox Regression Analysis ◽

End Point

Objectives: Non-ST elevation myocardial infarction (NSTEMI) is one of the most common manifestations of acute coronary syndromes (ACS). We evaluated the prognostic role of cardiac troponin I (cTnI) at presentation and peak cardiac troponin I in patients with NSTEMI. Methods: We consecutively enrolled 215 subjects presenting with NSTEMI. Subjects were followed up for 1 year. cTnI at presentation and the peak value of cTnI were measured. The primary end point was defined as cardiovascular death, readmission to hospital with heart failure and new ACS. Results: The subjects who presented the primary end point (49 subjects) had significantly increased values of peak cTnI compared to subjects free of cardiovascular events [7.19 (2.97-21.32) vs. 4.09 (1.18-11.85) ng/l; p = 0.002]. Nevertheless, cTnI at presentation did not differ between subjects who presented the primary end point and those free of events (p = 0.39). Multivariate Cox regression analysis after adjustment for confounders revealed by the univariate analysis showed that for an increase in peak cTnI from 1 to 10 ng/l, there is a 60% anticipated increase in the relative risk to present the primary end point (p = 0.04). Conclusion: These findings documented the different prognostic significance of cTnI at presentation and peak cTnI in patients presenting with NSTEMI, and highlighted the importance of monitoring the levels of cTnI in this high-risk population.

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Prognostic Significance of Carbohydrate Antigen 125 in Acute Heart Failure: A Prospective Comparative Study With N-terminal Pro-B-type Natriuretic Peptide

10.21203/rs.3.rs-864855/v2 ◽

2021 ◽

Author(s):

Ji Zhang ◽

Wenhua Li ◽

Gaojun Cai ◽

Jianqiang Xiao ◽

Jie Hui ◽

...

Keyword(s):

Heart Failure ◽

Adverse Events ◽

Acute Heart Failure ◽

Natriuretic Peptide ◽

Primary Endpoint ◽

Cox Regression ◽

Prognostic Significance ◽

Carbohydrate Antigen ◽

Cox Regression Analysis ◽

Carbohydrate Antigen 125

Abstract Background: In acute heart failure (AHF), elevated carbohydrate antigen 125 (CA125) and N-terminal pro-B-type natriuretic peptide (NTproBNP) have shown to correlate with adverse events. We sought to quantify their prognostic usefulness in predicting the 6-month combined endpoint of death/heart failure readmission.Methods: The study includes 352 patients admitted for AHF. The primary endpoint was 6-month combined endpoint of death/AHF rehospitalization. CA125 and NTproBNP were dichotomized according to the best cut-offs to predict 6-month primary endpoint. By multivariate Cox regression analysis, the independent association of CA125 and NTproBNP with the primary endpoint was assessed, and their incremental prognostic utility evaluated by net reclassification improvement (NRI) and integrated discrimination improvement (IDI) index. Results: A total of 47 (13.4%) deaths and 113 (32.1%) AHF rehospitalizations were identified at 6-month follow-up. The subjects with CA125≥39.7 U/ml and NTproBNP≥3900 pg/ml had significantly higher cumulative event rates (56.1% vs. 33.3% and 53.3% vs. 33.8%, both P<0.001). Elevated CA125 (HR 1.93; 95%CI [1.32-2.83]; P=0.001) was associated with higher HR than NTproBNP≥3900 pg/ml (HR 1.71; 95%CI [1.19-2.48]; P=0.004) after adjusting for established risk factors. Elevated CA125 still independently predicted adverse events when both CA125 and NTproBNP were entered together in the same multivariate model. Furthermore, risk reclassification analyses demonstrated significant improvements in NRI of 22.3% (P=0.014) and IDI of 2.7% (P=0.012) when adding CA125 to the base model + NTproBNP.Conclusions: Elevated CA125 and NTproBNP predicted adverse outcomes in AHF patients. CA125 added prognostic value to NTproBNP, and thus, their combination conferred greater predictive capacity.

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Identification of prognostic alternative splicing events in sarcoma

Scientific Reports ◽

10.1038/s41598-021-94485-x ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Hongshuai Li ◽

Jie Yang ◽

Guohui Yang ◽

Jia Ren ◽

Yu Meng ◽

...

Keyword(s):

Alternative Splicing ◽

Cox Regression ◽

Univariate Analysis ◽

Area Under The Curve ◽

Gene Signature ◽

The Cancer Genome Atlas ◽

Cox Regression Analysis ◽

Functional Roles ◽

Cancer Pathogenesis ◽

Rare Malignancy

AbstractSarcoma is a rare malignancy with unfavorable prognoses. Accumulating evidence indicates that aberrant alternative splicing (AS) events are generally involved in cancer pathogenesis. The aim of this study was to identify the prognostic value of AS-related survival genes as potential biomarkers, and highlight the functional roles of AS events in sarcoma. RNA-sequencing and AS-event datasets were downloaded from The Cancer Genome Atlas (TCGA) sarcoma cohort and TCGA SpliceSeq, respectively. Survival-related AS events were further assessed using a univariate analysis. A multivariate Cox regression analysis was also performed to establish a survival-gene signature to predict patient survival, and the area-under-the-curve method was used to evaluate prognostic reliability. KOBAS 3.0 and Cytoscape were used to functionally annotate AS-related genes and to assess their network interactions. We detected 9674 AS events in 40,184 genes from 236 sarcoma samples, and the 15 most significant genes were then used to construct a survival regression model. We further validated the involvement of ten potential survival-related genes (TUBB3, TRIM69, ZNFX1, VAV1, KCNN2, VGLL3, AK7, ARMC4, LRRC1, and CRIP1) in the occurrence and development of sarcoma. Multivariate survival model analyses were also performed, and validated that a model using these ten genes provided good classifications for predicting patient outcomes. The present study has increased our understanding of AS events in sarcoma, and the gene-based model using AS-related events may serve as a potential predictor to determine the survival of sarcoma patients.

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Derivation and validation of a lipid-covered prognostic model for mature T-cell lymphomas

Cancer Cell International ◽

10.1186/s12935-021-02042-3 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Tiange Lu ◽

Lei Shi ◽

Guanggang Shi ◽

Yiqing Cai ◽

Shunfeng Hu ◽

...

Keyword(s):

Lipid Metabolism ◽

T Cell ◽

Scoring System ◽

Serum Lipid ◽

Prognostic Model ◽

Validation Cohort ◽

Univariate Analysis ◽

Prognostic Significance ◽

Cox Regression Analysis ◽

T Cell Lymphomas

Abstract Background Mature T-cell lymphomas (MTCLs), a group of diseases with high aggressiveness and vulnerable prognosis, lack for the accurate prognostic stratification systems at present. Novel prognostic markers and models are urgently demanded. Aberrant lipid metabolism is closely related to the tumor progression but its prognostic significance in MTCLs remains unexplored. This study aims to investigate the relationship between dysregulated lipid metabolism and survival prognosis of MTCLs and establish a novel and well-performed prognostic scoring system for MTCL patients. Methods A total of 173 treatment-naive patients were enrolled in this study. Univariate and multivariate Cox regression analysis were performed to assess the prognostic significance of serum lipid profiles and screen out independent prognostic factors, which constituted a novel prognostic model for MTCLs. The performance of the novel model was assessed in the training and validation cohort, respectively, by examining its calibration, discrimination and clinical utility. Results Among the 173 included patients, 115 patients (01/2006–12/2016) constituted the training cohort and 58 patients (01/2017–06/2020) formed the validation cohort. Univariate analysis revealed declined total cholesterol (TC, P = 0.000), high-density lipoprotein cholesterol (HDL-C, P = 0.000) and increased triglycerides (TG, P = 0.000) correlated to inferior survival outcomes. Multivariate analysis revealed extranodal involved sites ≥ 2 (hazard ratio [HR]: 2.439; P = 0.036), β2-MG ≥ 3 mg/L (HR: 4.165; P = 0.003) and TC < 3.58 mmol/L (HR: 3.338; P = 0.000) were independent predictors. Subsequently, a novel prognostic model, EnBC score, was constructed with these three factors. Harrell’s C-index of the model in the training and validation cohort was 0.840 (95% CI 0.810–0.870) and 0.882 (95% CI 0.822–0.942), respectively, with well-fitted calibration curves. The model divided patients into four risk groups with distinct OS [median OS: not available (NA) vs. NA vs. 14.0 vs. 4.0 months, P < 0.0001] and PFS (median PFS: 84.0 vs. 19.0 vs. 8.0 vs. 1.5 months, P < 0.0001). Time-dependent receiver operating characteristic curve and decision curve analysis further revealed that EnBC score provided higher diagnostic capacity and clinical benefit, compared with International Prognostic Index (IPI). Conclusion Firstly, abnormal serum lipid metabolism was demonstrated significantly related to the survival of MTCL patients. Furthermore, a lipid-covered prognostic scoring system was established and performed well in stratifying patients with MTCLs.

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