Evidence map›Paper›PMID 35053305›Full record

ArticleCells2022

Risk Alleles for Multiple Myeloma Susceptibility in ADME Genes.

Francesca Scionti, Giuseppe Agapito, Daniele Caracciolo, Caterina Riillo, Katia Grillone, Mario Cannataro, Maria Teresa Di Martino, Pierosandro Tagliaferri, Pierfrancesco Tassone, Mariamena Arbitrio

Open access · goldAbstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Elevated Allele Frequency and Male-Predominance of a CommonCurrent issues in molecular biology · 2025
    Article
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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

10 authors at 2 institutions in 1 country.

Francesca SciontiInstitute of Research and Biomedical Innovation (IRIB), Italian National Council (CNR), 98164 Messina, Italy.ORCID 0000-0002-8149-7957
Giuseppe AgapitoDepartment of Law, Economics and Sociology, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.
Daniele CaraccioloDepartment of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.
Caterina RiilloDepartment of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.
Katia GrilloneDepartment of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.ORCID 0000-0003-0268-5536
Mario CannataroData Analytics Research Center, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.ORCID 0000-0003-1502-2387
Maria Teresa Di MartinoDepartment of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.ORCID 0000-0002-8205-2706
Pierosandro TagliaferriDepartment of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.
Pierfrancesco TassoneDepartment of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.ORCID 0000-0002-8298-6787
Mariamena ArbitrioInstitute of Research and Biomedical Innovation (IRIB), Italian National Council (CNR), 88100 Catanzaro, Italy.
Magna Graecia University · ITInstitute for Biomedical Research and Innovation · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cause of multiple myeloma (MM) remains largely unknown. Several pieces of evidence support the involvement of genetic and multiple environmental factors (i.e., chemical agents) in MM onset. The inter-individual variability in the bioactivation, detoxification, and clearance of chemical carcinogens such as asbestos, benzene, and pesticides might increase the MM risk. This inter-individual variability can be explained by the presence of polymorphic variants in absorption, distribution, metabolism, and excretion (ADME) genes. Despite the high relevance of this issue, few studies have focused on the inter-individual variability in ADME genes in MM risk. To identify new MM susceptibility loci, we performed an extended candidate gene approach by comparing high-throughput genotyping data of 1936 markers in 231 ADME genes on 64 MM patients and 59 controls from the CEU population. Differences in genotype and allele frequencies were validated using an internal control group of 35 non-cancer samples from the same geographic area as the patient group. We detected an association between MM risk and

Indexed as

AllelesGenetic Predisposition to DiseaseGene Expression RegulationHumansMetabolic Networks and PathwaysMultiple MyelomaPolymorphism, Single NucleotideRisk FactorsSurvival AnalysisADMEDMET Plushematological malignanciesmultiple myelomarisk allelessingle nucleotide polymorphismSNP

Identifiers

PMID35053305
PMCPMC8773885
OpenAlexW4205781736

What OpenQuestion 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 OpenQuestion graph.