Evidence map›Paper›PMID 35081971›Full record

ArticleWorld journal of surgical oncology2022

Identification of candidate targets and mechanisms involved in miRNA regulation in multiple myeloma.

Yang Yang, Rong Ding, Rui Wang

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Yang YangDepartment of Clinical Haematology, Lianshui People's Hospital Affiliated with Kangda College of Nanjing Medical University, No. 6, Hongri East Avenue, Lianshui County, Huai'an, 223400, Jiangsu Province, China.
Rong DingDepartment of Clinical Haematology, Lianshui People's Hospital Affiliated with Kangda College of Nanjing Medical University, No. 6, Hongri East Avenue, Lianshui County, Huai'an, 223400, Jiangsu Province, China.
Rui WangDepartment of Clinical Haematology, Lianshui People's Hospital Affiliated with Kangda College of Nanjing Medical University, No. 6, Hongri East Avenue, Lianshui County, Huai'an, 223400, Jiangsu Province, China. r81rey@163.com.
Xi'an Honghui Hospital · CNKangda College of Nanjing Medical University

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple myeloma (MM) is a complex disease affected by many factors. The recognition of miRNA networks is helpful for specific detection and personalised treatment.

methodsmRNA expression profiles were obtained from GSE39754 and GSE87830, and differentially expressed mRNAs (DEmRs) between MM and controls were identified. The intersection of the two sets of DEmRs in GSE39754 and GSE87830 was identified as common mRNAs, and enrichment analysis was subsequently performed. Moreover, we analysed differentially expressed miRNAs (DEmiRs) between MM and controls in GSE87830. A regulatory network of target mRNAs related to the overall survival of MM patients was then constructed.

resultsIn this study, a total of 356 common mRNAs were identified that were significantly enriched in neutrophil-mediated immunity, Th17 cell differentiation and PI3K-Akt signalling pathways. Moreover, we identified 103 DEmiRs and predicted 91 differentially expressed mRNAs as target mRNAs. Cox regression analysis was used to screen 14 target mRNAs that significantly affected the survival of MM patients. In the constructed integrated regulatory network, HIF1A and THBS1 were found to participate in Th17 cell differentiation and PI3K-Akt signalling pathways.

conclusionThese findings improve the understanding of the regulatory mechanisms of MM. Genes that are part of integrated regulatory networks may represent candidate targets for MM treatment.

Indexed as

MicroRNAsMultiple MyelomaGene Regulatory NetworksHumansPhosphatidylinositol 3-KinasesRNA, MessengerMicroRNAsPhosphatidylinositol 3-KinasesRNA, MessengerCandidate targetImmune responsemiRNAsMultiple myeloma

Identifiers

PMID35081971
PMCPMC8790927
OpenAlexW4210622195

What OpenQuestion holds

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LicenceCC BY
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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.