Logo Medical Science Monitor Basic Research

Call: 1.631.470.9640
Mon-Fri 10 am - 2 pm EST

Contact Us

Logo Medical Science Monitor Basic Research Logo Medical Science Monitor Basic Research Logo Medical Science Monitor Basic Research

26 February 2020 : Clinical Research  

Identification and Validation of a Potent Multi-miRNA Signature for Prediction of Prognosis of Osteosarcoma Patients

Xinle Luo1AB, Jiuyang Tang1ABF*, Huabing Xuan1BE, Jianlin Liu1BEF, Xi Li1AE

DOI: 10.12659/MSM.919272

Med Sci Monit 2020; 26:e919272

Abstract

BACKGROUND: Osteosarcoma, the most common solid malignancy, has high incidence and mortality rates. We constructed a miRNA-based signature that can be used to assess the prognosis of osteosarcoma patients.

MATERIAL AND METHODS: The miRNA profile was derived from the Gene Expression Omnibus (GEO) website, with matched clinical records. The miRNA-based overall survival (OS)-predicting signature was established by LASSO Cox regression analysis. Receiver operating characteristic (ROC) curve and Kaplan-Meier (K-M) analyses were performed to examine the stability and discriminatory ability of the OS-predicting signatures. Pathway enrichment analyses were performed to uncover potential mechanisms.

RESULTS: Three miRNAs (miR-153, miR-212, and miR-591) independently related to the OS were extracted to build a risk score formula. The ROC curve and K-M analyses revealed good discrimination ability of the OS signature for osteosarcoma patients in both the training cohort (P=0.00015, AUC=0.962) and the validation cohort (P=0.0065, AUC=0.793). As shown in multivariate analysis, the classifier showed favorable predictive accuracy similar to the recurrence status to be an independent risk factor for osteosarcoma. Furthermore, the nomogram showed a synergistic effect by combining the clinicopathological features with our classifier. Also, the enrichment analyses of the target genes may contribute to improved treatment of osteosarcoma.

CONCLUSIONS: The 3-miRNA-based classifier serves as an effective prognosis-predicting signature for osteosarcoma patients.

Keywords: MicroRNAs, Osteosarcoma, Prognosis, transcriptome, Adolescent, Adult, Biomarkers, Tumor, China, Cohort Studies, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Kaplan-Meier Estimate, Middle Aged, nomograms, ROC Curve

0 Comments

Most Viewed Current Articles

13 Apr 2020 : Original article  

Outcome of 24 Weeks of Combined Schroth and Pilates Exercises on Cobb Angle, Angle of Trunk Rotation, Chest...

DOI :10.12659/MSMBR.920449

Med Sci Monit Basic Res 2020; 26:e920449

11 May 2020 : Original article  

Analysis of Psychological and Sleep Status and Exercise Rehabilitation of Front-Line Clinical Staff in the ...

DOI :10.12659/MSMBR.924085

Med Sci Monit Basic Res 2020; 26:e924085

05 Jan 2021 : Review article  

A Southeast Asian Perspective on the COVID-19 Pandemic: Hemoglobin E (HbE)-Trait Confers Resistance Against...

DOI :10.12659/MSMBR.929207

Med Sci Monit Basic Res 2021; 27:e929207

10 Aug 2020 : Clinical Research  

Effects of Cognitive Task Training on Dynamic Balance and Gait of Patients with Stroke: A Preliminary Rando...

DOI :10.12659/MSMBR.925264

Med Sci Monit Basic Res 2020; 26:e925264

Your Privacy

We use cookies to ensure the functionality of our website, to personalize content and advertising, to provide social media features, and to analyze our traffic. If you allow us to do so, we also inform our social media, advertising and analysis partners about your use of our website, You can decise for yourself which categories you you want to deny or allow. Please note that based on your settings not all functionalities of the site are available. View our privacy policy.

Medical Science Monitor Basic Research eISSN: 2325-4416
Medical Science Monitor Basic Research eISSN: 2325-4416