Evidence map›Paper›PMID 42261309›Full record

ArticlePeerJ2026

Identification and validation of prognostic genes related to centrosome amplification in multiple myeloma.

Pengjun Liao, Jiaqi Tan, Lingji Zeng, Peilong Lai, Xiaojuan Wei

Abstract read
In one paragraph

Article in PeerJ, 2026. 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
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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

The trial behind it

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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.

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

5 authors.

Pengjun LiaoDepartment of Hematology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Jiaqi TanDepartment of Hematology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Lingji ZengDepartment of Hematology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Peilong LaiDepartment of Hematology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Xiaojuan WeiDepartment of Lymphoma, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prognostic biomarkers associated with centrosome amplification-related genes (CARGs) in multiple myeloma (MM), a malignancy originating from bone marrow plasma cells, remain incompletely defined. This study aimed to identify CARG-associated prognostic genes in MM. Methods: Transcriptome data for MM and CARGs were obtained from public databases. Initially, differentially expressed genes (DEGs) from the GSE6477 dataset were intersected with CARGs to identify candidate genes, whose biological functions were then analyzed. Regression analyses were conducted to identify prognostic genes linked to CA, from which a risk model for stratification was developed. Further analyses included nomogram construction, functional pathway analysis, immune microenvironment assessment, immunotherapy response evaluation, and drug sensitivity testing. Prognostic gene expression was validated by reverse transcription-quantitative PCR (RT-qPCR). Results: Forty candidate genes were identified from the intersection of 946 DEGs and 784 CARGs, which were associated with biological processes such as spindle organization. Six prognostic genes- Conclusion: Six prognostic genes associated with CA in MM were identified, and a predictive risk model was developed, offering valuable insights for clinical prognosis and immunotherapy in MM.

Indexed as

Biomarkers, TumorCentrosomeMultiple MyelomaGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNomogramsPrognosisTranscriptomeBiomarkers, TumorCentrosome amplificationImmune microenvironmentMultiple myelomaPrognostic genesRisk model

Identifiers

PMID42261309
PMCPMC13242746

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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.