Evidence map›Paper›PMID 36180817›Full record

ReviewClinical pharmacokinetics2022

Role of Genetic Polymorphisms in Drug-Metabolizing Enzyme-Mediated Toxicity and Pharmacokinetic Resistance to Anti-Cancer Agents: A Review on the Pharmacogenomics Aspect.

Gera Narendra, Shalki Choudhary, Baddipadige Raju, Himanshu Verma, Om Silakari

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical pharmacokinetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Gera NarendraMolecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, 147002, Patiala, Punjab, India.
Shalki ChoudharyMolecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, 147002, Patiala, Punjab, India.
Baddipadige RajuMolecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, 147002, Patiala, Punjab, India.
Himanshu VermaMolecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, 147002, Patiala, Punjab, India.
Om SilakariMolecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, 147002, Patiala, Punjab, India. mmlpup73@gmail.com.
Punjabi University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inter-individual differences in cancer susceptibility are somehow correlated with the genetic differences that are caused by the polymorphisms. These genetic variations in drug-metabolizing enzymes/drug-inactivating enzymes may negatively or positively affect the pharmacokinetic profile of chemotherapeutic agents that eventually lead to pharmacokinetic resistance and toxicity against anti-cancer drugs. For instance, the CYP1B1*3 allele is associated with CYP1B1 overexpression and consequent resistance to a variety of taxanes and platins, while 496T>G is associated with lower levels of dihydropyrimidine dehydrogenase, which results in severe toxicities related to 5-fluorouracil. In this context, a pharmacogenomics approach can be applied to ascertain the role of the genetic make-up in a person's response to any drug. This approach collectively utilizes pharmacology and genomics to develop effective and safe medications that are devoid of resistance problems. In addition, recently reported genomics studies revealed the impact of many single nucleotide polymorphisms in tumors. These studies emphasized the importance of single nucleotide polymorphisms in drug-metabolizing enzymes on the effect of anti-tumor drugs. In this review, we discuss the pharmacogenomics aspect of polymorphisms in detail to provide an insight into the genetic manipulations in drug-metabolizing enzymes that are responsible for pharmacokinetic resistance or toxicity against well-known anti-cancer drugs. Special emphasis is placed on different deleterious single nucleotide polymorphisms and their effect on pharmacokinetic resistance. The information provided in this report may be beneficial to researchers, especially those who are working in the field of biotechnology and human genetics, in rationally manipulating the genetic information of patients with cancer who are undergoing chemotherapy to avoid the problem of pharmacokinetic resistance/toxicity associated with drug-metabolizing enzymes.

Indexed as

Antineoplastic AgentsNeoplasmsDihydrouracil Dehydrogenase (NADP)HumansPharmacogeneticsPolymorphism, Single NucleotideAntineoplastic AgentsDihydrouracil Dehydrogenase (NADP)

Identifiers

PMID36180817
OpenAlexW4298109441

What OpenQuestion holds

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Registered trials

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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.