Evidence map›Paper›PMID 27304055›Full record

ReviewOncotarget2016

DMET™ (Drug Metabolism Enzymes and Transporters): a pharmacogenomic platform for precision medicine.

Mariamena Arbitrio, Maria Teresa Di Martino, Francesca Scionti, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro, Pierfrancesco Tassone, Pierosandro Tagliaferri

Abstract readReview
In one paragraph

Review in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mariamena ArbitrioISN-CNR, Roccelletta di Borgia, Catanzaro, Italy.
Maria Teresa Di MartinoDepartment of Experimental and Clinical Medicine, Medical Oncology Unit, Mater Domini Hospital, Magna Graecia University, Salvatore Venuta University Campus, Catanzaro, Italy.
Francesca SciontiDepartment of Experimental and Clinical Medicine, Medical Oncology Unit, Mater Domini Hospital, Magna Graecia University, Salvatore Venuta University Campus, Catanzaro, Italy.
Giuseppe AgapitoDepartment of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy.
Pietro Hiram GuzziDepartment of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy.
Mario CannataroDepartment of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy.
Pierfrancesco TassoneDepartment of Experimental and Clinical Medicine, Medical Oncology Unit, Mater Domini Hospital, Magna Graecia University, Salvatore Venuta University Campus, Catanzaro, Italy.
Pierosandro TagliaferriDepartment of Experimental and Clinical Medicine, Medical Oncology Unit, Mater Domini Hospital, Magna Graecia University, Salvatore Venuta University Campus, Catanzaro, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the era of personalized medicine, high-throughput technologies have allowed the investigation of genetic variations underlying the inter-individual variability in drug pharmacokinetics/pharmacodynamics. Several studies have recently moved from a candidate gene-based pharmacogenetic approach to genome-wide pharmacogenomic analyses to identify biomarkers for selection of patient-tailored therapies. In this aim, the identification of genetic variants affecting the individual drug metabolism is relevant for the definition of more active and less toxic treatments. This review focuses on the potentiality, reliability and limitations of the DMET™ (Drug Metabolism Enzymes and Transporters) Plus as pharmacogenomic drug metabolism multi-gene panel platform for selecting biomarkers in the final aim to optimize drugs use and characterize the individual genetic background.

Indexed as

Genetic MarkersGenetic VariationGenotypeHumansMembrane Transport ProteinsPharmacogeneticsPrecision MedicineGenetic MarkersMembrane Transport ProteinsADME genesbiomarkersDMET™pharmacogenomicssingle nucleotide polymorphism

Identifiers

PMID27304055
PMCPMC5288240

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.