Literature DB >> 30366258

Highly sensitive detection of DNA hypermethylation in melanoma cancer cells.

Jared Nesvet1, Giovanni Rizzi2, Shan X Wang3.   

Abstract

Aberrant hypermethylation of CpG islands in the promoter region of tumor suppressor genes is a promising biomarker for early cancer detection. This methylation status is reflected in the methylation pattern of ctDNA shed from the primary tumor; however, to realize the full clinical utility of ctDNA methylation detection via liquid biopsy for early cancer diagnosis, improvements in the sensitivity and multiplexability of existing technologies must be improved. Additionally, the assay must be cheap and easy to perform in a clinical setting. We report the integration of methylation specific PCR (MSP) to melt curve analysis on giant magnetoresistive (GMR) biosensors to greatly enhance the sensitivity of our DNA hybridization assay for methylation detection. Our GMR sensor is functionalized with synthetic DNA probes that target methylated or unmethylated CpG sites in the MSP amplicon, and measures the difference in melting temperature (Tm) between the two probes (ΔTm), giving an analytical limit of detection down to 0.1% methylated DNA in solution. Additionally, linear regression of ΔTm's for serial dilutions of methylated:unmethylated mixtures allows for quantification of methylation percentage, which could have diagnostic and prognostic utility. Lastly, we performed multiplexed MSP on two different genes, and show the ability of our GMR assay to resolve this mixture, despite their amplicons' overlapping Tm's in standard EvaGreen melt analysis. The multiplexing ability of our assay and its enhanced sensitivity, without necessitating deep sequencing, represent important steps toward realizing an assay for the detection of methylated ctDNA in plasma for early cancer detection in a clinical setting.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Array; Cancer; DNA melting; GMR sensors; Methylation specific PCR; PCR

Mesh:

Substances:

Year:  2018        PMID: 30366258      PMCID: PMC6245664          DOI: 10.1016/j.bios.2018.10.018

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  42 in total

Review 1.  Advances in the profiling of DNA modifications: cytosine methylation and beyond.

Authors:  Nongluk Plongthongkum; Dinh H Diep; Kun Zhang
Journal:  Nat Rev Genet       Date:  2014-08-27       Impact factor: 53.242

2.  Direct detection of early-stage cancers using circulating tumor DNA.

Authors:  Jillian Phallen; Mark Sausen; Vilmos Adleff; Alessandro Leal; Carolyn Hruban; James White; Valsamo Anagnostou; Jacob Fiksel; Stephen Cristiano; Eniko Papp; Savannah Speir; Thomas Reinert; Mai-Britt Worm Orntoft; Brian D Woodward; Derek Murphy; Sonya Parpart-Li; David Riley; Monica Nesselbush; Naomi Sengamalay; Andrew Georgiadis; Qing Kay Li; Mogens Rørbæk Madsen; Frank Viborg Mortensen; Joost Huiskens; Cornelis Punt; Nicole van Grieken; Remond Fijneman; Gerrit Meijer; Hatim Husain; Robert B Scharpf; Luis A Diaz; Siân Jones; Sam Angiuoli; Torben Ørntoft; Hans Jørgen Nielsen; Claus Lindbjerg Andersen; Victor E Velculescu
Journal:  Sci Transl Med       Date:  2017-08-16       Impact factor: 17.956

3.  Simultaneous Profiling of DNA Mutation and Methylation by Melting Analysis Using Magnetoresistive Biosensor Array.

Authors:  Giovanni Rizzi; Jung-Rok Lee; Christina Dahl; Per Guldberg; Martin Dufva; Shan X Wang; Mikkel F Hansen
Journal:  ACS Nano       Date:  2017-09-13       Impact factor: 15.881

4.  Mutual exclusivity analysis of genetic and epigenetic drivers in melanoma identifies a link between p14 ARF and RARβ signaling.

Authors:  Christina Dahl; Claus Christensen; Göran Jönsson; Anders Lorentzen; Mette Louise Skjødt; Åke Borg; Graham Pawelec; Per Guldberg
Journal:  Mol Cancer Res       Date:  2013-07-12       Impact factor: 5.852

Review 5.  Circulating tumour DNA (ctDNA) as a liquid biopsy for melanoma.

Authors:  Leslie Calapre; Lydia Warburton; Michael Millward; Mel Ziman; Elin S Gray
Journal:  Cancer Lett       Date:  2017-07-04       Impact factor: 8.679

6.  A Panel of Novel Detection and Prognostic Methylated DNA Markers in Primary Non-Small Cell Lung Cancer and Serum DNA.

Authors:  Akira Ooki; Zahra Maleki; Jun-Chieh J Tsay; Chandra Goparaju; Mariana Brait; Nitesh Turaga; Hae-Seong Nam; William N Rom; Harvey I Pass; David Sidransky; Rafael Guerrero-Preston; Mohammad Obaidul Hoque
Journal:  Clin Cancer Res       Date:  2017-08-29       Impact factor: 12.531

7.  Quantitative detection of promoter hypermethylation of multiple genes in the tumor, urine, and serum DNA of patients with renal cancer.

Authors:  Mohammad Obaidul Hoque; Shahnaz Begum; Ozlem Topaloglu; Carmen Jeronimo; Elizabeth Mambo; William H Westra; J A Califano; David Sidransky
Journal:  Cancer Res       Date:  2004-08-01       Impact factor: 12.701

8.  Matrix-insensitive protein assays push the limits of biosensors in medicine.

Authors:  Richard S Gaster; Drew A Hall; Carsten H Nielsen; Sebastian J Osterfeld; Heng Yu; Kathleen E Mach; Robert J Wilson; Boris Murmann; Joseph C Liao; Sanjiv S Gambhir; Shan X Wang
Journal:  Nat Med       Date:  2009-10-11       Impact factor: 53.440

Review 9.  Developing DNA methylation-based diagnostic biomarkers.

Authors:  Hyerim Kim; Xudong Wang; Peng Jin
Journal:  J Genet Genomics       Date:  2018-02-17       Impact factor: 5.723

10.  Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data.

Authors:  Nelly Olova; Felix Krueger; Simon Andrews; David Oxley; Rebecca V Berrens; Miguel R Branco; Wolf Reik
Journal:  Genome Biol       Date:  2018-03-15       Impact factor: 13.583

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  2 in total

1.  Quercetin Mediated TET1 Expression Through MicroRNA-17 Induced Cell Apoptosis in Melanoma Cells.

Authors:  Yongjian Gao; Chengshun Li; Tianyi Xue; Chao Lin; Ruizhi Hou; Qianyun Xia; Dayong Ding; Jiaqi Li; Dongxu Wang; Ye Feng
Journal:  Biochem Genet       Date:  2022-09-22       Impact factor: 2.220

2.  From saliva to SNP: non-invasive, point-of-care genotyping for precision medicine applications using recombinase polymerase amplification and giant magnetoresistive nanosensors.

Authors:  Ana Sofia de Olazarra; Dana Lee Cortade; Shan X Wang
Journal:  Lab Chip       Date:  2022-05-31       Impact factor: 7.517

  2 in total

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