Evidence map›Paper›PMID 30567415›Full record

ReviewHigh-throughput2018

Pharmacogenomic Profiling of ADME Gene Variants: Current Challenges and Validation Perspectives.

Mariamena Arbitrio, Maria Teresa Di Martino, Francesca Scionti, Vito Barbieri, Licia Pensabene, Pierosandro Tagliaferri

Open access · goldAbstract readReview
In one paragraph

Review in High-throughput, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
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

22 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
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  5. Review
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  7. Article
  8. Review
  9. Characterization ofPharmacogenomics · 2023
    Article
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  14. Review
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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

6 authors at 3 institutions in 1 country.

Mariamena ArbitrioInstitute of Neurological Sciences, UOS of Pharmacology, 88100 Catanzaro, Italy. mariamena.arbitrio@cnr.it.
Maria Teresa Di MartinoDepartment of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, 88100 Catanzaro, Italy. teresadm@unicz.it.
Francesca SciontiDepartment of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, 88100 Catanzaro, Italy. scionti@unicz.it.
Vito BarbieriMedical Oncology Unit, Mater Domini Hospital, Salvatore Venuta University Campus, 8810 Catanzaro, Italy. barbieri@unicz.it.
Licia PensabeneDepartment of Medical and Surgical Sciences Pediatric Unit, Magna Graecia University, 88100 Catanzaro, Italy. tagliaferri@unicz.it.
Pierosandro TagliaferriDepartment of Experimental and Clinical Medicine, Magna Graecia University, Salvatore Venuta University Campus, 88100 Catanzaro, Italy. tagliaferri@unicz.it.
Magna Graecia University · ITAzienda Ospedaliero Universitario Mater Domini · ITInstitute of Neurological Sciences · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past decades, many efforts have been made to individualize medical treatments, taking into account molecular profiles and the individual genetic background. The development of molecularly targeted drugs and immunotherapy have revolutionized medical treatments but the inter-patient variability in the anti-tumor drug pharmacokinetics (PK) and pharmacodynamics can be explained, at least in part, by genetic variations in genes encoding drug metabolizing enzymes and transporters (ADME) or in genes encoding drug receptors. Here, we focus on high-throughput technologies applied for PK screening for the identification of predictive biomarkers of efficacy or toxicity in cancer treatment, whose application in clinical practice could promote personalized treatments tailored on individual's genetic make-up. Pharmacogenomic tools have been implemented and the clinical utility of pharmacogenetic screening could increase safety in patients for the identification of drug metabolism-related biomarkers for a personalized medicine. Although pharmacogenomic studies were performed in adult cohorts, pharmacogenetic pediatric research has yielded promising results. Additionally, we discuss the current challenges and theoretical bases for the implementation of pharmacogenetic tests for translation in the clinical practice taking into account that pharmacogenomics platforms are discovery oriented and must open the way for the setting of robust tests suitable for daily practice.

Indexed as

ADME genescancerpharmacogenomicssingle nucleotide polymorphisms

Identifiers

PMID30567415
PMCPMC6306724
OpenAlexW2903751101

What Socratic holds

Textmetadata
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 Socratic graph.