Literature DB >> 31837443

Developing more sensitive genomic approaches to detect radioresponse in precision radiation oncology: From tissue DNA analysis to circulating tumor DNA.

Kewen He1, Shaotong Zhang2, Liang L Shao3, Jiani C Yin4, Xue Wu3, Yang W Shao5, Shuanghu Yuan6, Jinming Yu7.   

Abstract

Despite the common application and considerable efforts to achieve precision radiotherapy (RT) in several types of cancer, RT has not yet entered the era of precision medicine; the ability to predict radiosensitivity and treatment responses in tumors and normal tissues is lacking. Therefore, development of genome-based methods for individual prognosis in radiation oncology is urgently required. Traditional DNA sequencing requires tissue samples collected during invasive operations; therefore, repeated tests are nearly impossible. Intra- and inter-tumoral heterogeneity may undermine the predictive power of a single assay from tumor samples. In contrast, analysis of circulating tumor DNA (ctDNA) allows for non-invasive and near real-time sampling of tumors. By investigating the genetic composition of tumors and monitoring dynamic changes during treatment, ctDNA analysis may potentially be clinically valuable in prediction of treatment responses prior to RT, surveillance of responses during RT, and evaluation of residual disease following RT. As a biomarker for RT response, ctDNA profiling may guide personalized treatments. In this review, we will discuss approaches of tissue DNA sequencing and ctDNA detection and summarize their clinical applications in both traditional RT and in combination with immunotherapy.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  DNA sequencing; Immunotherapy; Liquid biopsy; Precision radiation medicine; Radiotherapy

Year:  2019        PMID: 31837443     DOI: 10.1016/j.canlet.2019.12.004

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  3 in total

1.  Age and sex effects across the blood proteome after ionizing radiation exposure can bias biomarker screening and risk assessment.

Authors:  Britta Langen; Egor Vorontsov; Johan Spetz; John Swanpalmer; Carina Sihlbom; Khalil Helou; Eva Forssell-Aronsson
Journal:  Sci Rep       Date:  2022-04-29       Impact factor: 4.996

2.  Genomic Profiling Reveals Novel Predictive Biomarkers for Chemo-Radiotherapy Efficacy and Thoracic Toxicity in Non-Small-Cell Lung Cancer.

Authors:  Kewen He; Shaotong Zhang; Jiaohui Pang; Jiani C Yin; Dianbin Mu; Jun Wang; Hong Ge; Jie Ma; Zhe Yang; Xiaoli Zheng; Lihua Dong; Junli Zhang; Pengyu Chang; Li Li; Shanshan Tang; Hua Bao; Xue Wu; Xiaonan Wang; Yang Shao; Jinming Yu; Shuanghu Yuan
Journal:  Front Oncol       Date:  2022-07-14       Impact factor: 5.738

3.  Pan-Cancer Analysis of Radiotherapy Benefits and Immune Infiltration in Multiple Human Cancers.

Authors:  Pengbo Wen; Yang Gao; Bin Chen; Xiaojing Qi; Guanshuo Hu; An Xu; Junfeng Xia; Lijun Wu; Huayi Lu; Guoping Zhao
Journal:  Cancers (Basel)       Date:  2020-04-13       Impact factor: 6.639

  3 in total

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