Evidence map›Paper›PMID 38292661›Full record

ArticleWorld journal of clinical oncology2024

Gene signatures to therapeutics: Assessing the potential of ivermectin against t(4;14) multiple myeloma.

Yang Song, Hao-Jun Zhang, Xia Song, Jie Geng, Hong-Yi Li, Li-Zhong Zhang, Bo Yang, Xue-Chun Lu

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Yang SongSchool of Basic Medicine, Medical School of Chinese PLA, Beijing 100853, China.
Hao-Jun ZhangSchool of Basic Medicine, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China.
Xia SongSchool of Basic Medicine, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China.
Jie GengSchool of Basic Medicine, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China.
Hong-Yi LiSchool of Basic Medicine, Medical School of Chinese PLA, Beijing 100853, China.
Li-Zhong ZhangSchool of Basic Medicine, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China.
Bo YangDepartment of Hematology, The Second Medical Centre, Chinese PLA General Hospital, Beijing 100853, China.
Xue-Chun LuDepartment of Hematology, The Second Medical Centre, Chinese PLA General Hospital, Beijing 100853, China. luxuechun@301hospital.com.cn.
Chinese PLA General Hospital · CNShanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple myeloma (MM) is a terminal differentiated B-cell tumor disease characterized by clonal proliferation of malignant plasma cells and excessive levels of monoclonal immunoglobulins in the bone marrow. The translocation, (t)(4;14), results in high-risk MM with limited treatment alternatives. Thus, there is an urgent need for identification and validation of potential treatments for this MM subtype. Microarray data and sequencing information from public databases could offer opportunities for the discovery of new diagnostic or therapeutic targets.

aimTo elucidate the molecular basis and search for potential effective drugs of t(4;14) MM subtype by employing a comprehensive approach.

methodsThe transcriptional signature of t(4;14) MM was sourced from the Gene Expression Omnibus. Two datasets, GSE16558 and GSE116294, which included 17 and 15 t(4;14) MM bone marrow samples, and five and four normal bone marrow samples, respectively. After the differentially expressed genes were identified, the Cytohubba tool was used to screen for hub genes. Then, the hub genes were analyzed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis. Using the STRING database and Cytoscape, protein-protein interaction networks and core targets were identified. Potential small-molecule drugs were identified and validated using the Connectivity Map database and molecular docking analysis, respectively.

resultsIn this study, a total of 258 differentially expressed genes with enriched functions in cancer pathways, namely cytokine receptor interactions, nuclear factor (NF)-κB signaling pathway, lipid metabolism, atherosclerosis, and Hippo signaling pathway, were identified. Ten hub genes (

conclusionCollectively, the findings offer valuable molecular insights for biomarker validation and potential drug development in t(4;14) MM diagnosis and treatment, with ivermectin emerging as a potential therapeutic alternative.

Indexed as

Functional enrichment analysisGene expression profilingIvermectinMolecular docking simulationMultiple myelomaTherapeutic target

Identifiers

PMID38292661
PMCPMC10823940
OpenAlexW4391076273

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