Literature DB >> 31829466

The evolution of molecular diagnosis using digital polymerase chain reaction to detect cancer via cell-free DNA and circulating tumor cells.

Alex José de Melo-Silva1, Jessica Paula Lucena1, Thomas Hueneburg2,3.   

Abstract

Cancer is one of the most important causes of death worldwide. The onset of cancer may be initiated due to a variety of factors such as environment, genetics or even due to personal lifestyle choices. To counteract this tremendous increase, the demand for a new technology has risen. By this means, the use of digital polymerase chain reaction (dPCR) has been shown to be a promising methodology in the early detection of many types of cancers. Furthermore, several researchers confirmed that the use of tumor cell-free DNA (cfDNA) and circulating tumor cells (CTC) in peripheral blood is essential in revealing an early prognosis of such diseases. Besides this, it was established that dPCR might be used in a much more efficient, accurate, and reliable manner to amplify a variety of genetic material up to the identification of mutations in hematological diseases. Therefore, this article demonstrates the differences between conventional PCR and dPCR as a molecular technique to detect the early onset of cancer. Furthermore, CTC and cfDNA were officially approved by the Food and Drug Administration as new biological biomarkers in cancer development and monitoring.
© 2019 International Federation for Cell Biology.

Entities:  

Keywords:  cancers; cell-free DNA (cfDNA); circulating tumor cells (CTC); digital PCR; molecular diagnosis

Year:  2019        PMID: 31829466     DOI: 10.1002/cbin.11286

Source DB:  PubMed          Journal:  Cell Biol Int        ISSN: 1065-6995            Impact factor:   3.612


  3 in total

1.  Quantitative detections of TP53 gene mutations improve the diagnosis and prognostic prediction of biliary tract cancers using droplet digital PCR.

Authors:  Xiao Xiao; Jun Zhou; Meng Fang; Jun Ji; Chenjun Huang; Fei Du; Wenchao Ai; Ying Wang; Zhiyuang Gao; Zhiquan Qiu; Chunfang Gao
Journal:  J Clin Lab Anal       Date:  2021-11-23       Impact factor: 2.352

2.  Sensitive Electrochemical Biosensor for Rapid Screening of Tumor Biomarker TP53 Gene Mutation Hotspot.

Authors:  Pengcheng Sun; Kai Niu; Haiying Du; Ruixin Li; Jiping Chen; Xianbo Lu
Journal:  Biosensors (Basel)       Date:  2022-08-19

Review 3.  Molecular testing for acute myeloid leukemia.

Authors:  Dahui Qin
Journal:  Cancer Biol Med       Date:  2021-08-04       Impact factor: 4.248

  3 in total

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