Prediction of radiotherapy response with a 5 ‐microRNA signature‐based nomogram in head and neck squamous cell carcinoma

In conclusion, the 5‐miRNA signature‐based nomogram is useful in predicting radiotherapy response in HNSCC and might become a promising tool to optimize radiation strategies.

We used LASSO regression model to establish a 5‐miRNA signature, which serve as a novel and reliable biomarker for prediction of clinical outcomes in patients with HNSCC receiving radiotherapy. What's more, we developed a nomogram integrating the 5‐miRNA signature with clinical features of each patient with HNSCC, which could be further used in the evaluation of radiotherapy responses. In addition, target genes of these miRNAs were predicted, and Gene Ontology (GO) analysis as well as KEGG analysis was executed to reveal some potential mechanisms in HNSCC radiotherapy response for future investigations.

Source: Cancer Medicine - February 23, 2018 Category: Cancer & Oncology Authors: Lin Chen, Yihui Wen, Jingwei Zhang, Wei Sun, Vivian W. Y. Lui, Yi Wei, Fenghong Chen, Weiping Wen Tags: Original Research Source Type: research