Evidence map›Paper›PMID 39068529›Full record

ArticleThe Journal of international medical research2024

Inhibitory effect of human interleukin-24 on the proliferation, migration, and invasion of cervical cancer cells.

Min Song, Hongtao Yuan, Jie Zhang, Jing Wang, Jianhua Yu, Wei Wang

Abstract read
In one paragraph

Article in The Journal of international medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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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.

Min SongQilu Medical University, Zibo, P. R. China.
Hongtao YuanZhangdian People's Hospital, Zibo, P. R. China.
Jie ZhangQilu Medical University, Zibo, P. R. China.
Jing WangQilu Medical University, Zibo, P. R. China.
Jianhua YuQilu Medical University, Zibo, P. R. China.
Wei WangQilu Medical University, Zibo, P. R. China.ORCID 0009-0006-8927-8990

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to identify significantly differentially expressed genes (DEGs) related to cervical cancer by exploring extensive gene expression datasets to unveil new therapeutic targets.

methodsGene expression profiles were extracted from the Gene Expression Omnibus, The Cancer Genome Atlas, and the Genotype-Tissue Expression platforms. A differential expression analysis identified DEGs in cervical cancer cases. Weighted gene co-expression network analysis (WGCNA) was implemented to locate genes closely linked to the clinical traits of diseases. Machine learning algorithms, including LASSO regression and the random forest algorithm, were applied to pinpoint key genes.

resultsThe investigation successfully isolated DEGs pertinent to cervical cancer. Interleukin-24 was recognized as a pivotal gene via WGCNA and machine learning techniques. Experimental validations demonstrated that human interleukin (hIL)-24 inhibited proliferation, migration, and invasion, while promoting apoptosis, in SiHa and HeLa cervical cancer cells, affirming its role as a therapeutic target.

conclusionThe multi-database analysis strategy employed herein emphasized hIL-24 as a principal gene in cervical cancer pathogenesis. The findings suggest hIL-24 as a promising candidate for targeted therapy, offering a potential avenue for innovative treatment modalities. This study enhances the understanding of molecular mechanisms of cervical cancer and aids in the pursuit of novel oncological therapies.

Indexed as

ApoptosisCell MovementCell ProliferationGene Expression Regulation, NeoplasticInterleukinsNeoplasm InvasivenessUterine Cervical NeoplasmsCell Line, TumorFemaleGene Expression ProfilingGene Regulatory NetworksHeLa CellsHumansInterleukin-24Machine LearningInterleukin-24InterleukinsCervical cancerdifferentially expressed genegene expression datahuman interleukin-24machine learningweighted gene co-expression network analysis

Identifiers

PMID39068529
PMCPMC11287727

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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.