Evidence map›Paper›PMID 40026294›Full record

ArticleIranian journal of medical sciences2025

Pharmacogenomics-Based Detection of Variants Involved in Pain, Anti-inflammatory and Immunomodulating Agents Pathways by Whole Exome Sequencing and Deep

Alireza Sharafshah, Majid Motovali-Bashi, Parvaneh Keshavarz

Abstract read
In one paragraph

Article in Iranian journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Alireza SharafshahDivision of Genetics, Department of Cell and Molecular Biology and Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran.
Majid Motovali-BashiDivision of Genetics, Department of Cell and Molecular Biology and Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran.
Parvaneh KeshavarzCellular and Molecular Research Center, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Next-Generation Sequencing (NGS) methods specifically Whole-Exome Sequencing (WES) have demonstrated promising findings with a high accuracy of 91%-99% in Pharmacogenomics (PGx). A PGx-based panel can be utilized to minimize adverse drug reactions (ADRs) and maximize the treatment efficacy. Remarkably, Cancer Pain Management (CPM) is a cutting-edge concept in modern medicine. Thus, this study aimed to investigate the WES results by a PGx-based panel containing genes involved in Pain, Anti-inflammatory, and Immunomodulating agents (PAIma) signaling pathways. Methods: A total of 200 unrelated Iranians (100 western and 100 northern) were included. 100 WES results were analyzed through the PAIma panel. After DNA extraction, 100 samples were genotyped by Multiplex-Amplification-Refractory Mutation System (ARMS) PCR. A primary Results: 55,590 annotations through 21 curated pathways were filtered, 900 variants were found, and 128 genes were refined. Finally, 54 candidate variants (48 non-synonymous single nucleotide variants (nsSNVs), 2 stop-gained, 1 frameshift, and 3 splicing) remained. Conclusion: Conclusively, six potentially actionable variants including rs1695 (

Indexed as

Anti-Inflammatory AgentsCarcinogenesisImmunologic FactorsNeoplasmsPainPharmacogeneticsAdultComputer SimulationExome SequencingFemaleHigh-Throughput Nucleotide SequencingHumansIranMaleMiddle AgedAnti-Inflammatory AgentsImmunologic FactorsCancerGenetic variationPharmacogenomicsWhole exome sequencing

Identifiers

PMID40026294
PMCPMC11870856

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