Evidence map›Paper›PMID 36504354›Full record

ArticleMolecular biotechnology2023

Evaluation of Genes and Molecular Pathways Involved in the Progression of Monoclonal Gammopathy of Undetermined Significance (MGUS) to Multiple Myeloma: A Systems Biology Approach.

Parisa Khalili, Reza Maddah, Mohsen Maleknia, Bahareh Shateri Amiri, Fatemeh Forouzani, Afshin Hasanvand, Hadi Rezaeeyan

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Identification of Therapy-Induced Clonal Evolution and Resistance Pathways in Minimal Residual Clones in Multiple Myeloma through Single-Cell Sequencing.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  6. Article
  7. Article
  8. Article
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

7 authors at 6 institutions in 1 country.

Parisa KhaliliDepartment of Internal Medicine, Lorestan University of Medical Science, Khorramabad, Iran.
Reza MaddahDepartment of Bioprocess Engineering, Institute of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.
Mohsen MalekniaThalassemia & Hemoglobinopathy Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Bahareh Shateri AmiriDepartment of Internal Medicine, School of Medicine Hazrat-e Rasool General Hospital, Iran University of Medical Sciences, Tehran, Iran.
Fatemeh ForouzaniSchool of Medicine, Yasuj University of Medical Science, Yasuj, Iran.
Afshin HasanvandDepartment of Surgery, Lorestan University of Medical Science, Khorramabad, Iran.
Hadi RezaeeyanBlood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine, Iranian Blood Transfusion Organization (IBTO), Tehran, Iran. Hadi.rezaeeyan@yahoo.com.ORCID http://orcid.org/0000-0002-9116-8719
Lorestan University of Medical Sciences · IRAhvaz Jundishapur University of Medical Sciences · IRHigh Institute for Education and Research in Transfusion Medicine · IRIran University of Medical Sciences · IRNational Institute of Genetic Engineering and Biotechnology · IRYasuj University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today, Monoclonal Gammopathy of Undetermined Significance (MGUS) is known as a plasma cell malignancy susceptible to evolving into the life-threatening stage, multiple myeloma (MM), without prominent clinical manifestations. Despite the discovery of advanced therapies and multiple pathogenic markers, the complexity of MM development has made it an incurable malignancy. In this study, the microarray dataset was downloaded from the Gene Expression Omnibus (GEO) database and analyzed using the LIMMA package of R-software to determine differentially expressed genes (DEGs) in MGUS and MM compared to the control samples. Enrichment analysis of DEGs was evaluated using the GeneCodis4 software. Protein-protein interaction (PPI) networks were constructed via the GeneMANIA database, and Cytoscape visualized them. The Molecular Complex Detection (MCODE) plugin from Cytoscape was used to identify the key modules from the PPI network. Afterward, the hub genes were recognized using the cytoHubba plug-in in Cytoscape. Eventually, the correlation between hub-DEGs and MM-specific survival was evaluated via the PrognoScan database. A total of 138 (MM-normal) and 136 (MGUS-normal) DEGs were obtained from the datasets, and 62 common DEGs between MGUS and MM diseases (26 up-regulated and 36 down-regulated genes) were screened out for subsequent analyses. Following enrichment analyses and the PPI network's evaluation, FOS, FOSB, JUN, MAFF, and PPP1R15A involved in the progression of MGUS to MM were detected as the hub genes. The survival analysis revealed that FOS, FOSB, and JUN among hub genes were significantly associated with disease-specific survival (DSS) in MM. Identifying the genes involved in the progression of MGUS to MM can help in the design of preventive strategies as well as the treatment of patients. In addition, their evaluation can be effective in the survival of patients.

Indexed as

Monoclonal Gammopathy of Undetermined SignificanceMultiple MyelomaComputational BiologyGene Expression ProfilingHumansSystems BiologyGenes molecular pathwayMGUSMultiple myelomaSystems biology

Identifiers

PMID36504354
OpenAlexW4311118774

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.