Evidence map›Paper›PMID 37551318›Full record

ArticleAsian biomedicine : research, reviews and news2022

Autophagy-related genes affect the survival of multiple myeloma patients depending on chromosomal abnormality.

Gizem Ayna Duran, Yasemin Benderli Cihan

Abstract read
In one paragraph

Article in Asian biomedicine : research, reviews and news, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Gizem Ayna DuranDepartment of Biomedical Engineering, Faculty of Engineering, Izmir University of Economics, Balçova, İzmir 35330, Turkey.ORCID https://orcid.org/0000-0002-2168-753X
Yasemin Benderli CihanDepartment of Radiation Oncology, Kayseri City Education and Research Hospital, Kocasinan, Kayseri 38080, Turkey.ORCID https://orcid.org/0000-0001-9295-4917

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Targeting autophagy at gene level may be promising in multiple myeloma (MM) treatment depending on chromosomal abnormality (ABN) status. Objectives: We aimed to investigate the role of ABN on survival of MM patients and to identify prognosis related autophagy-related genes (ARGs) for patients with or without ABN. Methods: Gene intensity values of 222 ARG for 548 MM patients were obtained from the Affymetrix Human Genome U133 Plus 2.0 Array (GPL570) platform containing 54,675 probes (GSE24080). A dataset containing data from 1576 MM patients with 1q21 amplification (GSE4204, GSE4452, GSE4581, and GSE2658) was used for validation. Survival analysis of the patients was analyzed using univariate and multivariate Cox regression method with the help of R3.53 programming language and Kaplan-Meier graphics were created. The Gene Ontology enRIchmentanaLysis and visuaLizAtion (GOrilla) tool was used to define the related biological processes and pathways. Results: The overall survival (OS) and event-free survival (EFS) in all MM patients were strongly influenced by ABN. In the group of patients with ABN, 41 ARGs were found to be important in prognosis, whereas in the group of patients without ABN, 13 ARGs were found to be important in prognosis. Conclusions: The classification of MM patients according to the absence or presence of ABN is important in the determination of survival status. Detection of survival related ARGs in patients with chromosomal anomalies may be a new therapeutic target in treatment.

Indexed as

autophagychromosomal abnormalitygenemultiple myelomasurvival

Identifiers

PMID37551318
PMCPMC10321186

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