Improving the prediction for the response to radiotherapy of clinical tumor samples by using combinatorial model of MicroRNA expression
Purpose: Radiation therapy (RT) is one of the main treatments for cancer. The response to radiotherapy varies widely between individuals and some patients have poor response to RT treatment due to tumor radioresistance. Stratifying patients according to molecular signatures of individual tumor chara...
Main Authors: | Chao Tang, Jun Qi, Yan Wu, Ling Luo, Ying Wang, Yongzhong Wu, Xiaolong Shi |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-11-01
|
Series: | Frontiers in Genetics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.1069112/full |
Similar Items
-
Analysis of the Applicability of microRNAs in Peripheral Blood Leukocytes as Biomarkers of Sensitivity and Exposure to Fractionated Radiotherapy towards Breast Cancer
by: Michal Marczyk, et al.
Published: (2021-08-01) -
Establishment and validation of a 7-microRNA prognostic signature for non-small cell lung cancer
by: Wang N, et al.
Published: (2018-09-01) -
The Emerging Role of miRNAs for the Radiation Treatment of Pancreatic Cancer
by: Lily Nguyen, et al.
Published: (2020-12-01) -
GNL3 and PA2G4 as Prognostic Biomarkers in Prostate Cancer
by: Shashank Kumar, et al.
Published: (2023-05-01) -
The emerging role of exosomes in radiotherapy
by: Zhenyi Yang, et al.
Published: (2022-10-01)