Identification of a Multi-RNA-Type-Based Signature for Recurrence-Free Survival Prediction in Patients with Uterine Corpus Endometrial Carcinoma
| Autor: | Peizhi Wang, Qingjian Ye, Zhi Zeng, Xiaoting Shen, Xiaohui Tian |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Oncology medicine.medical_specialty Cervix Uteri Biology Disease-Free Survival Endometrium 03 medical and health sciences 0302 clinical medicine Recurrence free survival Internal medicine Biomarkers Tumor Genetics medicine Carcinoma Humans In patient RNA Messenger Molecular Biology Base Sequence Sequence Analysis RNA food and beverages RNA Cell Biology General Medicine Middle Aged medicine.disease Molecular biomarkers Gynecological cancer Endometrial Neoplasms Gene Expression Regulation Neoplastic MicroRNAs 030104 developmental biology Uterine corpus 030220 oncology & carcinogenesis Female RNA Long Noncoding High recurrence rate |
| Zdroj: | DNA and Cell Biology. 39:615-630 |
| ISSN: | 1557-7430 1044-5498 |
| Popis: | Uterine corpus endometrial carcinoma (UCEC) is one of the leading causes of death from gynecological cancer due to the high recurrence rate. A recent study indicated that molecular biomarkers can enhance the recurrence prediction power if they were integrated with clinical information. In this study, we attempted to identify a new multi-RNA-type-based molecular biomarker for predicting the recurrence risk and recurrence-free survival (RFS). Matched mRNA (including lncRNA) and miRNA RNA-sequencing data from 463 UCEC patients ( |
| Databáze: | OpenAIRE |
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