An 8 miRNA-Based Risk Score System for Predicting the Prognosis of Patients With Papillary Thyroid Cancer

Abstract Background: Vascular invasion is closely related to the prognosis of hepatocellular carcinoma (HCC). Increasing evidence suggests that miRNAs can serve as biomarks to predict prognosis in various tumors. Thus, the aim of this study was to develop a novel, vascular invasion-related miRNA signature for prediction of HCC prognosis.Methods: Differentially expressed miRNAs (DEMs) between HCC samples with vascular invasion and without vascular invasion were obtained from GSE67140. MiRNAs expression profiles and clinical information for 344 patients were collected from The Cancer Genome Atlas database, and the patients were randomized (1:1) to training set and validation set. LASSO regression model was employed to identify survival-associated DEMs and establish risk score in the training set. Moreover, risk score was verified in the validation set. And nomogram based on risk score and clinical information was constructed to improve the prediction of prognosis. Meanwhile, four online tools were used to predict target genes and enrichment analysis was utilized to explore the biological pathway of the miRNAs.Results: A novel three-miRNA signature was screened including hsa-mir-210, hsa-mir-149 and hsa-mir-99a, and risk score was established for HCC prognosis prediction. Patients were divided into the low-risk group and high-risk group according to risk score. High-risk group both have higher hazard of death compared with low-risk group in training set and validation set. And the 5-year AUC of risk score were 0.718, 0.674 and 0.697 in training set, validation set and the total set, respectively. The C-index of nomogram was 0.724, and calibration curves showed nomogram had high concordance to predict 1- ,3- , and 5-year survival rates among HCC patients. Furthermore, enrichment analysis identified several tumor-associated pathways including Ras signaling pathway, PI3K-Akt signaling pathway, and MAPK signaling pathway and so on, which may contribute to explain the potential molecular mechanisms of above miRNAs.Conclusion: This study developed a risk assessment model based on three miRNAs, which could accurately predict the prognosis of HCC.

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Identification of 3-miRNA Signature for Predicting Prognosis in Patients with Hepatocellular Carcinoma

10.21203/rs.3.rs-267530/v1 ◽

2021 ◽

Author(s):

Xinze Qiu ◽

Jiangni Wu ◽

Zichen Huang ◽

Shibo Luo ◽

Jiean Huang ◽

...

Keyword(s):

Signaling Pathway ◽

Risk Score ◽

Vascular Invasion ◽

Risk Group ◽

Enrichment Analysis ◽

Clinical Information ◽

High Risk Group ◽

Mirna Signature ◽

Training Set ◽

Validation Set

Abstract Background: Vascular invasion is closely related to the prognosis of hepatocellular carcinoma (HCC). Increasing evidence suggests that miRNAs can serve as biomarks to predict prognosis in various tumors. Thus, the aim of this study was to develop a novel, vascular invasion-related miRNA signature for prediction of HCC prognosis.Methods: Differentially expressed miRNAs (DEMs) between HCC samples with vascular invasion and without vascular invasion were obtained from GSE67140. MiRNAs expression profiles and clinical information for 344 patients were collected from The Cancer Genome Atlas database, and the patients were randomized (1:1) to training set and validation set. LASSO regression model was employed to identify survival-associated DEMs and establish risk score in the training set. Moreover, risk score was verified in the validation set. And nomogram based on risk score and clinical information was constructed to improve the prediction of prognosis. Meanwhile, four online tools were used to predict target genes and enrichment analysis was utilized to explore the biological pathway of the miRNAs.Results: A novel three-miRNA signature was screened including hsa-mir-210, hsa-mir-149 and hsa-mir-99a, and risk score was established for HCC prognosis prediction. Patients were divided into the low-risk group and high-risk group according to risk score. High-risk group both have higher hazard of death compared with low-risk group in training set and validation set. And the 5-year AUC of risk score were 0.718, 0.674 and 0.697 in training set, validation set and the total set, respectively. The C-index of nomogram was 0.724, and calibration curves showed nomogram had high concordance to predict 1- ,3- , and 5-year survival rates among HCC patients. Furthermore, enrichment analysis identified several tumor-associated pathways including Ras signaling pathway, PI3K-Akt signaling pathway, and MAPK signaling pathway and so on, which may contribute to explain the potential molecular mechanisms of above miRNAs.Conclusion: This study developed a risk assessment model based on three miRNAs, which could accurately predict the prognosis of HCC.

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Genome-Wide Identification of a Novel Autophagy-Related Signature for Colorectal Cancer

Dose-Response ◽

10.1177/1559325819894179 ◽

2019 ◽

Vol 17 (4) ◽

pp. 155932581989417 ◽

Cited By ~ 6

Author(s):

Zhi Huang ◽

Jie Liu ◽

Liang Luo ◽

Pan Sheng ◽

Biao Wang ◽

...

Keyword(s):

Colorectal Cancer ◽

Signaling Pathway ◽

Risk Score ◽

Low Risk ◽

Training Data ◽

The Cancer Genome Atlas ◽

Training Set ◽

Data Set ◽

Validation Set ◽

Cox Analysis

Background: Plenty of evidence has suggested that autophagy plays a crucial role in the biological processes of cancers. This study aimed to screen autophagy-related genes (ARGs) and establish a novel a scoring system for colorectal cancer (CRC). Methods: Autophagy-related genes sequencing data and the corresponding clinical data of CRC in The Cancer Genome Atlas were used as training data set. The GSE39582 data set from the Gene Expression Omnibus was used as validation set. An autophagy-related signature was developed in training set using univariate Cox analysis followed by stepwise multivariate Cox analysis and assessed in the validation set. Then we analyzed the function and pathways of ARGs using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Finally, a prognostic nomogram combining the autophagy-related risk score and clinicopathological characteristics was developed according to multivariate Cox analysis. Results: After univariate and multivariate analysis, 3 ARGs were used to construct autophagy-related signature. The KEGG pathway analyses showed several significantly enriched oncological signatures, such as p53 signaling pathway, apoptosis, human cytomegalovirus infection, platinum drug resistance, necroptosis, and ErbB signaling pathway. Patients were divided into high- and low-risk groups, and patients with high risk had significantly shorter overall survival (OS) than low-risk patients in both training set and validation set. Furthermore, the nomogram for predicting 3- and 5-year OS was established based on autophagy-based risk score and clinicopathologic factors. The area under the curve and calibration curves indicated that the nomogram showed well accuracy of prediction. Conclusions: Our proposed autophagy-based signature has important prognostic value and may provide a promising tool for the development of personalized therapy.

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A four prognosis-associated lncRNAs (PALnc) based risk score system reflects immune cell infiltration and predicts patient survival in pancreatic cancer

Cancer Cell International ◽

10.1186/s12935-020-01588-y ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Hongkai Zhuang ◽

Shanzhou Huang ◽

Zixuan Zhou ◽

Zuyi Ma ◽

Zedan Zhang ◽

...

Keyword(s):

Pancreatic Cancer ◽

Multivariate Analysis ◽

Signaling Pathway ◽

Risk Score ◽

Roc Analysis ◽

Immune Cell ◽

Patient Survival ◽

Immune Cell Infiltration ◽

Score System ◽

Risk Score System

Abstract Background Pancreatic cancer (PC) is one of the most common cancers and the leading cause of cancer-related death worldwide. Exploring novel predictive biomarkers for PC patients’ prognosis is in urgent need. Methods In the present study, we conducted Cox proportional hazards regression to identify critical prognosis-associated lncRNAs (PALncs) in TCGA PC dataset. Based on the results of multivariate analysis, a PALnc-based risk score system was established, and validated in GSE62452 dataset. The validity and reliability of the risk score system for prognosis of PC were evaluated through ROC analysis. And function enrichment analyses for the PALncs were also performed. Result In the multivariate analysis, four PALncs (LINC00476, C9orf163, LINC00346 and DSCR9) were screened out to develop a risk score system, which showed a high AUC at 3 and 5 years overall survival (0.785 at 3 year OS, 0.863 at 5 year OS) in TCGA datasets. And the ROC analysis of the risk score system for RFS in TCGA dataset revealed that AUC for RFS was 0.799 at 3 years and 0.909 at 5 years. Further, the AUC for OS in the validation cohort was 0.705 at 3 years and 0.959 at 5 years. Furthermore, the functional enrichment analysis revealed that these PALncs may be involved in various pathways related to cancer, including Ras family activation, autophagy in cancer, MAPK signaling pathway, HIF-1 signaling pathway, PI3K-Akt signaling pathway, etc. And correlation analysis of these tumor infiltrating immune cells and risk score system revealed that the infiltration level of B cell naïve, plasma cells, and CD8+ T cells are negatively correlated to the risk score system, while macrophages M2 positively correlated to the risk score system. Conclusion Our study established a four PALncs based risk score system, which reflects immune cell infiltration and predicts patient survival for PC.

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A risk score system for identification of patients with upper-GI bleeding suitable for outpatient management

Gastrointestinal Endoscopy ◽

10.1016/s0016-5107(04)00362-1 ◽

2004 ◽

Vol 59 (7) ◽

pp. 772-781 ◽

Cited By ~ 22

Author(s):

Pedro Almela ◽

Adolfo Benages ◽

Salvador Peiró ◽

Ramón Añón ◽

Miguel Minguez Pérez ◽

...

Keyword(s):

Risk Score ◽

Gi Bleeding ◽

Outpatient Management ◽

Score System ◽

Upper Gi Bleeding ◽

Upper Gi ◽

Risk Score System

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The pulmonary embolism risk score system reduces the incidence and mortality of pulmonary embolism after gastric bypass

Surgery ◽

10.1016/j.surg.2009.07.011 ◽

2009 ◽

Vol 146 (4) ◽

pp. 678-685 ◽

Cited By ~ 7

Author(s):

Joseph A. Caruana ◽

Paul M. Anain ◽

Dang Tuan Pham

Keyword(s):

Pulmonary Embolism ◽

Gastric Bypass ◽

Risk Score ◽

Score System ◽

Incidence And Mortality ◽

Risk Score System

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Risk score system for late aortic events in patients with uncomplicated type B aortic dissection

Journal of Thoracic and Cardiovascular Surgery ◽

10.1016/j.jtcvs.2019.06.019 ◽

2020 ◽

Vol 159 (6) ◽

pp. 2173-2183.e1 ◽

Cited By ~ 4

Author(s):

Akihito Matsushita ◽

Minoru Tabata ◽

Wahei Mihara ◽

Takeshi Shimamoto ◽

Tatsuhiko Komiya ◽

...

Keyword(s):

Aortic Dissection ◽

Risk Score ◽

Type B ◽

Type B Aortic Dissection ◽

Score System ◽

Risk Score System

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Serum ghrelin level is associated with cardiovascular risk score

Romanian Journal Of Internal Medicine ◽

10.1515/rjim-2015-0019 ◽

2015 ◽

Vol 53 (2) ◽

pp. 140-145 ◽

Cited By ~ 2

Author(s):

Dana Pop ◽

P. Peter ◽

Alexandra Dădârlat ◽

Adela Sitar-Tăut ◽

D. Zdrenghea

Keyword(s):

Risk Factors ◽

Cardiovascular Risk ◽

Cardiovascular Risk Factors ◽

Risk Score ◽

Wide Distribution ◽

Score System ◽

Cardiology Department ◽

Significant Difference ◽

Risk Score System ◽

Serum Ghrelin

Abstract Ghrelin, a newly discovered bioactive peptide, was originally reported to induce growth hormone release. Recent studies have shown beneficial hemodynamic effects of ghrelin in the cardiovascular system to support the wide distribution of its receptors in cardiovascular tissues. The aim of the study was to determine whether cardiovascular risk factors influence plasma ghrelin levels. Methods. We evaluated in the Rehabilitation Hospital Cluj-Napoca, Cardiology - Department 88 consecutive subjects, 65 (73.86%) being women, with mean age 61.7±10.33 years. We assessed the presence of cardiovascular risk factors (obesity, arterial hypertension, diabetes mellitus, metabolic syndrome, smoking and lipid fractions). Plasma ghrelin levels were determined with a commercial ELISA kit (pg/ml). Results. After the evaluation of cardiovascular risk factors, we found no statistically significant difference between ghrelin levels in the patients with vs those without cardiovascular risk factors (p>0.05). A negative correlation was found between ghrelin levels and age, r = −0.32 (p <0.05). Using the HeartScore Internet tool we calculated the cardiovascular risk for each patient according to the risk score system (SCORE) for high cardiovascular risk countries. Statistically, the risk of fatal cardiovascular events in the next 10 years was indirectly correlated with the ghrelin levels in each patient - correlation between ghrelin levels and SCORE system r=−0.25, p=0.015. In conclusion, low serum ghrelin concentrations are associated with an increased global cardiovascular risk, calculated based on the European SCORE scale. However, we could not demonstrate a direct relationship between any of the major risk factors and ghrelin.

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