Literature DB >> 33317085

Development of a Pharmacogenetic Lab-on-Chip Assay Based on the In-Check Technology to Screen for Genetic Variations Associated to Adverse Drug Reactions to Common Chemotherapeutic Agents.

Rosario Iemmolo1, Valentina La Cognata1, Giovanna Morello1, Maria Guarnaccia1, Mariamena Arbitrio2, Enrico Alessi3, Sebastiano Cavallaro1.   

Abstract

BACKGROUND: Antineoplastic agents represent the most common class of drugs causing Adverse Drug Reactions (ADRs). Mutant alleles of genes coding for drug-metabolizing enzymes are the best studied individual risk factors for these ADRs. Although the correlation between genetic polymorphisms and ADRs is well-known, pharmacogenetic tests are limited to centralized laboratories with expensive or dedicated instrumentation used by specialized personnel. Nowadays, DNA chips have overcome the major limitations in terms of sensibility, specificity or small molecular detection, allowing the simultaneous detection of several genetic polymorphisms with time and costs-effective advantages. In this work, we describe the design of a novel silicon-based lab-on-chip assay able to perform low-density and high-resolution multi-assay analysis (amplification and hybridization reactions) on the In-Check platform.
METHODS: The novel lab-on-chip was used to screen 17 allelic variants of three genes associated with adverse reactions to common chemotherapeutic agents: DPYD (Dihydropyrimidine dehydrogenase), MTHFR (5,10-Methylenetetrahydrofolate reductase) and TPMT (Thiopurine S-methyltransferase).
RESULTS: Inter- and intra assay variability were performed to assess the specificity and sensibility of the chip. Linear regression was used to assess the optimal hybridization temperature set at 52 °C (R2 ≈ 0.97). Limit of detection was 50 nM.
CONCLUSIONS: The high performance in terms of sensibility and specificity of this lab-on-chip supports its further translation to clinical diagnostics, where it may effectively promote precision medicine.

Entities:  

Keywords:  In-Check platform; adverse drug reaction; biosensors; lab-on-chip; microfluidics; pharmacogenetics

Mesh:

Substances:

Year:  2020        PMID: 33317085      PMCID: PMC7764726          DOI: 10.3390/bios10120202

Source DB:  PubMed          Journal:  Biosensors (Basel)        ISSN: 2079-6374


  35 in total

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Journal:  AAPS J       Date:  2017-11-27       Impact factor: 4.009

4.  Preponderance of methylenetetrahydrofolate reductase C677T homozygosity among leukemia patients intolerant to methotrexate.

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Review 5.  Very important pharmacogene summary: thiopurine S-methyltransferase.

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Review 6.  Genotype and phenotype in patients with dihydropyrimidine dehydrogenase deficiency.

Authors:  A B Van Kuilenburg; P Vreken; N G Abeling; H D Bakker; R Meinsma; H Van Lenthe; R A De Abreu; J A Smeitink; H Kayserili; M Y Apak; E Christensen; I Holopainen; K Pulkki; D Riva; G Botteon; E Holme; M Tulinius; W J Kleijer; F A Beemer; M Duran; K E Niezen-Koning; G P Smit; C Jakobs; L M Smit; A H Van Gennip
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7.  Applications of microarrays and biochips in pharmacogenomics.

Authors:  Gary Hardiman
Journal:  Methods Mol Biol       Date:  2008

8.  Polymorphisms of glutathione S-transferase and methylenetetrahydrofolate reductase genes in Moldavian patients with ulcerative colitis: Genotype-phenotype correlation.

Authors:  Alexander Varzari; Igor V Deyneko; Elena Tudor; Svetlana Turcan
Journal:  Meta Gene       Date:  2015-12-10

9.  The clinical relevance of multiple DPYD polymorphisms on patients candidate for fluoropyrimidine based-chemotherapy. An Italian case-control study.

Authors:  Francesco Iachetta; Candida Bonelli; Alessandra Romagnani; Raffaella Zamponi; Lorenzo Tofani; Enrico Farnetti; Davide Nicoli; Angela Damato; Maria Banzi; Bruno Casali; Carmine Pinto
Journal:  Br J Cancer       Date:  2019-03-12       Impact factor: 7.640

10.  Frequencies of 23 functionally significant variant alleles related with metabolism of antineoplastic drugs in the chilean population: comparison with caucasian and asian populations.

Authors:  Angela Roco; Luis Quiñones; José A G Agúndez; Elena García-Martín; Valentina Squicciarini; Carla Miranda; Joselyn Garay; Nancy Farfán; Iván Saavedra; Dante Cáceres; Carol Ibarra; Nelson Varela
Journal:  Front Genet       Date:  2012-11-02       Impact factor: 4.599

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