Literature DB >> 22401927

Can plasma DNA monitoring be employed in personalized chemotherapy for patients with advanced lung cancer?

Shiyang Pan1, Wenying Xia, Qingqing Ding, Yongqian Shu, Ting Xu, Yan Geng, Yachun Lu, Dan Chen, Jian Xu, Fang Wang, Chun Zhao, Peijun Huang, Puwen Huang, Hongbing Shen, Zhibin Hu, Shan Lu.   

Abstract

Personalized chemotherapy is the ideal treatment usually chosen to help improve the survival chances of patients with advanced lung cancer. However, there is no short-term evaluation protocol for predicting the efficacy of the therapy. The aim of this study was to determine the value of using plasma DNA to monitor chemotherapeutic efficacy and to select most appropriate chemotherapeutic regimen for patients with advanced lung cancer. Eighty-eight lung cancer patients and 200 healthy controls were included in this study. Plasma DNA was extracted from plasma samples with internal controls by using the BILATEST DNA Kit. The quantity of plasma DNA was determined by using duplex real-time quantitative PCR. After first-line chemotherapy, plasma DNA levels of partial response patients were significantly different from those of stable disease patients or progressive disease patients, but with no statistical difference from healthy controls (P=0.014, P<0.001 and P=0.418, respectively). Survival analysis showed a statistically better survival time in patients who had lower levels of plasma DNA after the third cycle chemotherapy (P=0.031). In this study, the correlation of the kinetics of DNA concentrations with chemotherapeutic efficacy during the whole therapy was also observed. The quantification of plasma DNA is a sensitive indicator of chemotherapeutic efficacy in advanced lung cancer patients, and it can be useful in predicting response to therapy and guiding medication.
Copyright © 2012 Elsevier Masson SAS. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22401927     DOI: 10.1016/j.biopha.2011.11.022

Source DB:  PubMed          Journal:  Biomed Pharmacother        ISSN: 0753-3322            Impact factor:   6.529


  11 in total

1.  A prospective study of total plasma cell-free DNA as a predictive biomarker for response to systemic therapy in patients with advanced non-small-cell lung cancers.

Authors:  B T Li; A Drilon; M L Johnson; M Hsu; C S Sima; C McGinn; H Sugita; M G Kris; C G Azzoli
Journal:  Ann Oncol       Date:  2015-10-20       Impact factor: 32.976

Review 2.  Cell-free circulating tumor DNA in plasma/serum of non-small cell lung cancer.

Authors:  Kun Nie; Yujie Jia; Xuezhu Zhang
Journal:  Tumour Biol       Date:  2014-10-29

3.  Value of dynamic plasma cell-free DNA monitoring in septic shock syndrome: A case report.

Authors:  Jing-Ping Liu; Shi-Chang Zhang; Shi-Yang Pan
Journal:  World J Clin Cases       Date:  2020-01-06       Impact factor: 1.337

4.  Early Change in FDG-PET Signal and Plasma Cell-Free DNA Level Predicts Erlotinib Response in EGFR Wild-Type NSCLC Patients.

Authors:  Anne Winther-Larsen; Joan Fledelius; Christina Demuth; Catharina M Bylov; Peter Meldgaard; Boe S Sorensen
Journal:  Transl Oncol       Date:  2016-10-29       Impact factor: 4.243

5.  Mutational Landscape of cfDNA Identifies Distinct Molecular Features Associated With Therapeutic Response to First-Line Platinum-Based Doublet Chemotherapy in Patients with Advanced NSCLC.

Authors:  Tao Jiang; Xuefei Li; Jianfei Wang; Chunxia Su; Wenbo Han; Chao Zhao; Fengying Wu; Guanghui Gao; Wei Li; Xiaoxia Chen; Jiayu Li; Fei Zhou; Jing Zhao; Weijing Cai; Henghui Zhang; Bo Du; Jun Zhang; Shengxiang Ren; Caicun Zhou; Hui Yu; Fred R Hirsch
Journal:  Theranostics       Date:  2017-10-17       Impact factor: 11.556

6.  Plasma cell-free DNA and survival in non-small-cell lung cancer: A meta-analysis.

Authors:  Zongbi Yi; Binliang Liu; Xiuwen Guan; Fei Ma
Journal:  Mol Clin Oncol       Date:  2017-06-28

7.  Liquid biopsy for non-invasive assessment of liver injury in hepatitis B patients.

Authors:  Wen-Ying Xia; Li Gao; Er-Hei Dai; Dan Chen; Er-Fu Xie; Li Yang; Shi-Chang Zhang; Bing-Feng Zhang; Jian Xu; Shi-Yang Pan
Journal:  World J Gastroenterol       Date:  2019-08-07       Impact factor: 5.742

8.  Utilization of circulating cell-free DNA profiling to guide first-line chemotherapy in advanced lung squamous cell carcinoma.

Authors:  Tao Jiang; Liyan Jiang; Xiaorong Dong; Kangsheng Gu; Yueyin Pan; Qin Shi; Guojun Zhang; Huijuan Wang; Xiaochun Zhang; Nong Yang; Yuping Li; Jianping Xiong; Tienan Yi; Min Peng; Yong Song; Yun Fan; Jiuwei Cui; Gongyan Chen; Wei Tan; Aimin Zang; Qisen Guo; Guangqiang Zhao; Ziping Wang; Jianxing He; Wenxiu Yao; Xiaohong Wu; Kai Chen; Xiaohua Hu; Chunhong Hu; Lu Yue; Da Jiang; Guangfa Wang; Junfeng Liu; Guohua Yu; Junling Li; Henghui Zhang; Lihong Wu; Lu Fang; Dandan Liang; Yi Zhao; Weihong Zhao; Wenmin Xie; Shengxiang Ren; Caicun Zhou
Journal:  Theranostics       Date:  2021-01-01       Impact factor: 11.556

9.  Real-time monitoring efficiency and toxicity of chemotherapy in patients with advanced lung cancer.

Authors:  Hong Wang; Bingfeng Zhang; Dan Chen; Wenying Xia; Jiexin Zhang; Fang Wang; Jian Xu; Yan Zhang; Meijuan Zhang; Lixia Zhang; Yachun Lu; Yan Geng; Peijun Huang; Puwen Huang; Hong Wang; Shiyang Pan
Journal:  Clin Epigenetics       Date:  2015-11-05       Impact factor: 6.551

10.  Quantification of circulating cell-free DNA to predict patient survival in non-small-cell lung cancer.

Authors:  Myung Han Hyun; Jae Sook Sung; Eun Joo Kang; Yoon Ji Choi; Kyong Hwa Park; Sang Won Shin; Sung Yong Lee; Yeul Hong Kim
Journal:  Oncotarget       Date:  2017-10-10
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.