Literature DB >> 31100334

TP53, EGFR and PIK3CA gene variations observed as prominent biomarkers in breast and lung cancer by plasma cell-free DNA genomic testing.

Hakan Savli1, Nilüfer Sertdemir2, Duygu Aydin2, Bilge Dursun2, Omer Kurtas3, Seda Reka2, Deniz Sunnetci-Akkoyunlu2, Seda Eren-Keskin2, Kazım Uygun4, Ercan Ozden4, Ulas Isik4, Devrim Cabuk4, Gulhan Demir2, Eda Guzdolu2, Merve Gokbayrak2, Maksut Gorkem Aksu5, Nuh Zafer Canturk6, Naci Cine2.   

Abstract

Use of plasma cell-free DNA genomic testing, also know as liquid biopsy, reveals information for early detection and monitoring of solid tumors. Our study reports the analysis of 113 lung and 18 breast cancer patients using commercially available platforms. Lung and breast cancer panel hotspot regions on the genes were investigated. There was a significant increase in isolation efficiency with very fresh blood samples of at least 15 millilitres which were processed in minutes. TP53 gene variations were detected in both types of tumors. Additionally, associations were found for EGFR variations in lung tumors and PIK3CA variations in breast tumors. Mutation assessment of these three genes are recommended as useful biomarkers for predictive studies, to follow up tumor growth and for personalized treatment. Mutations observed in this study warrant further investigation for follow up studies and may justify expression studies. However, in our subsequent studies, we intensify our tumor profiling strategy with other methods. However in terms of true personalized medicine,future plans would include repeating these studies with ctDNA size analysis and methylation analysis of the non-coding region in the individual tumors.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast cancer; Cell-Free DNA; EGFR; Lung cancer; PIK3CA; TP53

Mesh:

Substances:

Year:  2019        PMID: 31100334     DOI: 10.1016/j.jbiotec.2019.05.005

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  7 in total

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Authors:  Natalia O Tuaeva; Luca Falzone; Yuri B Porozov; Alexander E Nosyrev; Vladimir M Trukhan; Leda Kovatsi; Demetrios A Spandidos; Nikolaos Drakoulis; Alexandra Kalogeraki; Charalampos Mamoulakis; George Tzanakakis; Massimo Libra; Aristides Tsatsakis
Journal:  Cells       Date:  2019-10-14       Impact factor: 6.600

2.  TP53 mutation and MET amplification in circulating tumor DNA analysis predict disease progression in patients with advanced gastric cancer.

Authors:  Jia Li; Zhaoyan Li; Yajie Ding; Yan Xu; Xiaohong Zhu; Nida Cao; Chen Huang; Mengmeng Qin; Feng Liu; Aiguang Zhao
Journal:  PeerJ       Date:  2021-04-16       Impact factor: 2.984

3.  Analysis of whole-exome data of cfDNA and the tumor tissue of non-small cell lung cancer.

Authors:  Yuanzhou Wu; Qunqing Chen; Qiangzu Zhang; Man Li; Hui Li; Longfei Jia; Yang Huang; Jian Zhang
Journal:  Ann Transl Med       Date:  2021-09

Review 4.  TP53 Co-Mutations in Advanced EGFR-Mutated Non-Small Cell Lung Cancer: Prognosis and Therapeutic Strategy for Cancer Therapy.

Authors:  Surui Liu; Jin Yu; Hui Zhang; Jie Liu
Journal:  Front Oncol       Date:  2022-04-04       Impact factor: 5.738

5.  Validation of a liquid biopsy assay with molecular and clinical profiling of circulating tumor DNA.

Authors:  Justin D Finkle; Hala Boulos; Terri M Driessen; Christine Lo; Richard A Blidner; Ashraf Hafez; Aly A Khan; Ariane Lozac'hmeur; Kelly E McKinnon; Jason Perera; Wei Zhu; Afshin Dowlati; Kevin P White; Robert Tell; Nike Beaubier
Journal:  NPJ Precis Oncol       Date:  2021-07-02

Review 6.  Advances in the Detection Technologies and Clinical Applications of Circulating Tumor DNA in Metastatic Breast Cancer.

Authors:  Hao Liao; Huiping Li
Journal:  Cancer Manag Res       Date:  2020-05-18       Impact factor: 3.989

7.  GLUT1/3/4 as novel biomarkers for the prognosis of human breast cancer.

Authors:  Kai Zeng; Gaoda Ju; Hao Wang; Jiangsheng Huang
Journal:  Transl Cancer Res       Date:  2020-04       Impact factor: 1.241

  7 in total

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