Screening of significant biomarkers related with prognosis of cervical cancer and functional study based on lncRNA-associated ceRNA regulatory network.

CONCLUSION: The signature lncRNAs can help improve our understanding of the development and recurrence of CESC and the nomogram recurrence rate model can be applied to predict the survival rate of CESC patients in clinical practice. PMID: 32729415 [PubMed - as supplied by publisher]

https://www.ncbi.nlm.nih.gov/pubmed/32729415?dopt=Abstract

Source: Combinatorial Chemistry and High Throughput Screening - July 27, 2020 Category: Chemistry Authors: Ding H, Zhang L, Zhang C, Song J, Jiang Y Tags: Comb Chem High Throughput Screen Source Type: research