Cargando…

Identification of Metabolism-Related Genes Influencing Prognosis of Multiple Myeloma Patients

Multiple myeloma (MM) is the second most commonly diagnosed hematological malignancy. Understanding the basic mechanisms of the metabolism in MM may lead to new therapies that benefit patients. We collected the gene expression profile data of GSE39754 and performed differential analysis. Furthermore...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Rui, Bu, Wenxuan, Yang, Yang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8694996/ https://www.ncbi.nlm.nih.gov/pubmed/34956573 http://dx.doi.org/10.1155/2021/6574491

Ejemplares similares

A novel ferroptosis-related gene signature for predicting prognosis in multiple myeloma
por: Gao, Dandan, et al.
Publicado: (2023)

Identification of a cholesterol metabolism-related prognostic signature for multiple myeloma
por: Zhao, Na, et al.
Publicado: (2023)

A novel glycolysis-related gene signature for predicting the prognosis of multiple myeloma
por: Zhang, Bingxin, et al.
Publicado: (2023)

Comprehensive analysis of ferroptosis-related genes in immune infiltration and prognosis in multiple myeloma
por: Wang, Quanqiang, et al.
Publicado: (2023)

Identification of candidate targets and mechanisms involved in miRNA regulation in multiple myeloma
por: Yang, Yang, et al.
Publicado: (2022)

Comprehensive analysis of prognosis of cuproptosis-related oxidative stress genes in multiple myeloma
por: Li, Tingting, et al.
Publicado: (2023)

MSC Senescence-Related Genes Are Associated with Myeloma Prognosis and Lipid Metabolism-Mediated Resistance to Proteasome Inhibitors
por: Cao, Yang-Jia, et al.
Publicado: (2022)

Components of metabolic syndrome in patients with multiple myeloma and smoldering multiple myeloma
por: Markus, Efrat, et al.
Publicado: (2020)

Prognosis Implication of a Novel Metabolism-Related Gene Signature in Ewing Sarcoma
por: Chen, Zhuo-Yuan, et al.
Publicado: (2021)

Construction of a Prognosis Model of the Pyroptosis-Related Gene in Multiple Myeloma and Screening of Core Genes
por: Li, Can, et al.
Publicado: (2022)

Identification of a novel cuproptosis‐related gene signature for multiple myeloma diagnosis
por: Zhu, Yidong, et al.
Publicado: (2023)

Using Prognosis-Related Gene Expression Signature and Connectivity Map for Personalized Drug Repositioning in Multiple Myeloma
por: Zhu, Fang-xiao, et al.
Publicado: (2019)

High expression of CHML predicts poor prognosis of multiple myeloma
por: Zhang, Weilong, et al.
Publicado: (2019)

Identification of an Autophagy-Related Signature Based on Whole Bone Marrow Sequencing for the Prognosis and Immune Microenvironment Characterization of Multiple Myeloma
por: Li, Licheng, et al.
Publicado: (2022)

Clinical characteristics and prognosis of multiple myeloma with bone-related extramedullary disease at diagnosis
por: Tian, Chen, et al.
Publicado: (2018)

Inflammatory and Nutritional Scoring System for Predicting Prognosis in Patients with Newly Diagnosed Multiple Myeloma
por: Zhang, Limei, et al.
Publicado: (2023)

Identification and validation of a novel cuproptosis-related gene signature in multiple myeloma
por: Zhang, Bingxin, et al.
Publicado: (2023)

Identification of Pluripotent and Adult Stem Cell Genes Unrelated to Cell Cycle and Associated with Poor Prognosis in Multiple Myeloma
por: Kassambara, Alboukadel, et al.
Publicado: (2012)

Progress in the identification of gene mutations involved in multiple myeloma
por: Hu, Ying, et al.
Publicado: (2019)

Characterization and application of a lactate and branched chain amino acid metabolism related gene signature in a prognosis risk model for multiple myeloma
por: Yu, Zhengyu, et al.
Publicado: (2023)

Increased Expression of SRSF1 Predicts Poor Prognosis in Multiple Myeloma
por: Zhang, Jiawei, et al.
Publicado: (2023)

An emerging prognosis prediction model for multiple myeloma: Hypoxia-immune related microenvironmental gene signature
por: Yu, Zhengyu, et al.
Publicado: (2022)

Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma
por: Went, Molly, et al.
Publicado: (2018)

Identification of key candidate genes and pathways in multiple myeloma by integrated bioinformatics analysis
por: Yan, Haimeng, et al.
Publicado: (2019)

Expression of Myeloid Antigen in Neoplastic Plasma Cells Is Related to Adverse Prognosis in Patients with Multiple Myeloma
por: Shim, Hyoeun, et al.
Publicado: (2014)

Multiple Myeloma: Bioinformatic Analysis for Identification of Key Genes and Pathways
por: Saadoune, Chaimaa, et al.
Publicado: (2022)

Identification of an autophagy-related gene signature that can improve prognosis of hepatocellular carcinoma patients
por: Huo, Xingxing, et al.
Publicado: (2020)

Identification of an energy metabolism-related gene signature in ovarian cancer prognosis
por: Wang, Lei, et al.
Publicado: (2020)

Identification of Iron Metabolism-Related Gene Signatures for Predicting the Prognosis of Patients With Sarcomas
por: Li, Jianyi, et al.
Publicado: (2021)

Metabolic Disorders in Multiple Myeloma
por: Gavriatopoulou, Maria, et al.
Publicado: (2021)

Metabolic Features of Multiple Myeloma
por: El Arfani, Chaima, et al.
Publicado: (2018)

Metabolic Vulnerabilities in Multiple Myeloma
por: Lim, Julia S. L., et al.
Publicado: (2022)

Identification of the Key Genes Involved in the Tumorigenesis and Prognosis of Prostate Cancer
por: Wang, Wenxuan, et al.
Publicado: (2022)

Identification and expression of MMSA-8, and its clinical significance in multiple myeloma
por: He, Rui, et al.
Publicado: (2017)

A nomogram for predicting prognosis of multiple myeloma patients based on a ubiquitin-proteasome gene signature
por: Ji, Dexiang, et al.
Publicado: (2022)

Identification of druggable genes for multiple myeloma based on genomic information
por: Satria, Rahmat Dani, et al.
Publicado: (2023)

Identification and validation of potential prognostic lncRNA biomarkers for predicting survival in patients with multiple myeloma
por: Zhou, Meng, et al.
Publicado: (2015)

High expression of UBE2T predicts poor prognosis and survival in multiple myeloma
por: Zhang, Weilong, et al.
Publicado: (2019)

Author Correction: Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma
por: Went, Molly, et al.
Publicado: (2019)

TRIP13 impairs mitotic checkpoint surveillance and is associated with poor prognosis in multiple myeloma
por: Tao, Yi, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_guuup54aj7evvel6p4c8s7unvu