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Xie B, Chen Q, Dai Z, Jiang C, Sun J, Guan A, Chen X. Prognostic significance of a 3-gene ferroptosis-related signature in lung cancer via LASSO analysis and cellular functions of UBE2Z. Comput Biol Chem 2024; 113:108192. [PMID: 39243550 DOI: 10.1016/j.compbiolchem.2024.108192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 08/07/2024] [Accepted: 08/28/2024] [Indexed: 09/09/2024]
Abstract
Ferroptosis is a newly identified form of non-apoptotic programmed cell death resulting from iron-dependent lipid peroxidation. It is controlled by integrated oxidation and antioxidant systems. Ferroptosis exerts a crucial effect on the carcinogenesis of several cancers, including pulmonary cancer. Herein, a ferroptosis-associated gene signature for lung cancer prognosis and diagnosis was identified using integrative bioinformatics analyses. From the FerrDB database, 256 ferroptotic regulators and markers were identified. Of these, 25 exhibited differential expression between lung cancer and non-cancerous samples, as evidenced by the GSE19804 and GSE7670 datasets from the GEO database. Utilizing LASSO Cox regression analysis on TCGA-LUAD data, a potent 3-gene risk signature comprising CAV1, RRM2, and EGFR was established. This signature adeptly differentiates various survival outcomes in lung cancer patients, including overall survival and disease-specific intervals. Based on the 3-gene risk signature, lung cancer patients were categorized into high-risk and low-risk groups. Comparative analysis revealed 69 differentially expressed genes between these groups, with UBE2Z significantly associated with overall survival in TCGA-LUAD. UBE2Z was found to be upregulated in LUAD tissues and cells compared to normal controls. Functionally, the knockdown of UBE2Z curtailed aggressive behaviors in LUAD cells, including viability, migration, and invasion. Moreover, this knockdown led to a decrease in the mesenchymal marker vimentin while elevating the epithelial marker E-cadherin within LUAD cell lines. In conclusion, the ferroptosis-associated 3-gene risk signature effectively differentiates prognosis and clinical features in patients with lung cancer. UBE2Z was identified through this model, and it is upregulated in LUAD samples. Its knockdown inhibits aggressive cellular behaviors, suggesting UBE2Z's potential as a therapeutic target for lung cancer treatment.
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Affiliation(s)
- Bin Xie
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China; Department of Geriatrics, Respiratory Medicine, Xiangya Hospital, Central South University, Changsha 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Qiong Chen
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China; Department of Geriatrics, Respiratory Medicine, Xiangya Hospital, Central South University, Changsha 410008, China; Xiangya Lung Cancer Center, Xiangya Hospital, Central South University, Changsha 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Ziyu Dai
- Department of Geriatrics, Respiratory Medicine, Xiangya Hospital, Central South University, Changsha 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Chen Jiang
- Department of Geriatrics, Respiratory Medicine, Xiangya Hospital, Central South University, Changsha 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Jingyi Sun
- Department of Geriatrics, Respiratory Medicine, Xiangya Hospital, Central South University, Changsha 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Anqi Guan
- Department of Geriatrics, Respiratory Medicine, Xiangya Hospital, Central South University, Changsha 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Xi Chen
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China; National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China.
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Wan Q, Ren X, Tang J, Ma K, Deng YP. Cross talk between tumor stemness and microenvironment for prognosis and immunotherapy of uveal melanoma. J Cancer Res Clin Oncol 2023; 149:11951-11968. [PMID: 37420017 DOI: 10.1007/s00432-023-05061-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 06/28/2023] [Indexed: 07/09/2023]
Abstract
PURPOSE Tumor stem cells have emerged as a crucial focus of investigation and a therapeutic target in the context of cancer metastasis and drug resistance. They represent a promising novel approach to address the treatment of uveal melanoma (UVM). METHODS According to the one-class logistic regression (OCLR) approach, we first estimated two stemness indices (mDNAsi and mRNAsi) in a cohort of UVM (n = 80). The prognostic value of stemness indices among four subtypes of UVM (subtype A-D) was investigated. Moreover, univariate Cox regression and Lasso-penalized algorithms were conducted to identify a stemness-associated signature and verify in several independent cohorts. Besides, UVM patients classified into subgroups based on the stemness-associated signature. The differences in clinical outcomes, tumor microenvironment, and probability of immunotherapeutic response were investigated further. RESULTS We observed that mDNAsi was significantly linked with overall survival (OS) time of UVM, but no association was discovered between mRNAsi and OS. Stratification analysis indicated that the prognostic value of mDNAsi was only limited in subtype D of UVM. Besides, we established and verified a prognostic stemness-associated gene signature which can classify UVM patients into subgroups with distinct clinical outcomes, tumor mutation, immune microenvironment, and molecular pathways. The high risk of UVM is more sensitive to immunotherapy. Finally, a well-performed nomogram was constructed to predict the mortality of UVM patients. CONCLUSIONS This study offers a comprehensive examination of UVM stemness characteristics. We discovered mDNAsi-associated signatures improved the prediction capacity of individualized UVM prognosis and indicated prospective targets for stemness-regulated immunotherapy. Analysis of the interaction between stemness and tumor microenvironment may shed light on combinational treatment that targets both stem cell and the tumor microenvironment.
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Affiliation(s)
- Qi Wan
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China
| | - Xiang Ren
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China
| | - Jing Tang
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China
| | - Ke Ma
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China.
| | - Ying-Ping Deng
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China.
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Tychhon B, Allen JC, Gonzalez MA, Olivas IM, Solecki JP, Keivan M, Velazquez VV, McCall EB, Tapia DN, Rubio AJ, Jordan C, Elliott D, Eiring AM. The prognostic value of 19S ATPase proteasome subunits in acute myeloid leukemia and other forms of cancer. Front Med (Lausanne) 2023; 10:1209425. [PMID: 37502358 PMCID: PMC10371016 DOI: 10.3389/fmed.2023.1209425] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 06/05/2023] [Indexed: 07/29/2023] Open
Abstract
Introduction The ubiquitin-proteasome system (UPS) is an intracellular organelle responsible for targeted protein degradation, which represents a standard therapeutic target for many different human malignancies. Bortezomib, a reversible inhibitor of chymotrypsin-like proteasome activity, was first approved by the FDA in 2003 to treat multiple myeloma and is now used to treat a number of different cancers, including relapsed mantle cell lymphoma, diffuse large B-cell lymphoma, colorectal cancer, and thyroid carcinoma. Despite the success, bortezomib and other proteasome inhibitors are subject to severe side effects, and ultimately, drug resistance. We recently reported an oncogenic role for non-ATPase members of the 19S proteasome in chronic myeloid leukemia (CML), acute myeloid leukemia (AML), and several different solid tumors. In the present study, we hypothesized that ATPase members of the 19S proteasome would also serve as biomarkers and putative therapeutic targets in AML and multiple other cancers. Methods We used data from The Cancer Genome Atlas (TCGA) and the Clinical Proteomic Tumor Analysis Consortium (CPTAC) available at UALCAN and/or GEPIA2 to assess the expression and prognostic value of proteasome 26S subunit, ATPases 1-6 (PSMC1-6) of the 19S proteasome in cancer. UALCAN was also used to associate PSMC1-6 mRNA expression with distinct clinicopathological features. Finally, cBioPortal was employed to assess genomic alterations of PSMC genes across different cancer types. Results The mRNA and protein expression of PSMC1-6 of the 19S proteasome were elevated in several cancers compared with normal controls, which often correlated with worse overall survival. In contrast, AML patients demonstrated reduced expression of these proteasome subunits compared with normal mononuclear cells. However, AML patients with high expression of PSMC2-5 had worse outcomes. Discussion Altogether, our data suggest that components of the 19S proteasome could serve as prognostic biomarkers and novel therapeutic targets in AML and several other human malignancies.
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Affiliation(s)
- Boranai Tychhon
- Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center at El Paso, El Paso, TX, United States
| | - Jesse C. Allen
- Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center at El Paso, El Paso, TX, United States
| | - Mayra A. Gonzalez
- Center of Emphasis in Cancer, Department of Molecular and Translational Medicine, Texas Tech University Health Sciences Center at El Paso, El Paso, TX, United States
| | - Idaly M. Olivas
- Center of Emphasis in Cancer, Department of Molecular and Translational Medicine, Texas Tech University Health Sciences Center at El Paso, El Paso, TX, United States
| | - Jonathan P. Solecki
- L. Frederick Francis Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center at El Paso, El Paso, TX, United States
| | - Mehrshad Keivan
- L. Frederick Francis Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center at El Paso, El Paso, TX, United States
| | - Vanessa V. Velazquez
- Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center at El Paso, El Paso, TX, United States
| | - Emily B. McCall
- Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center at El Paso, El Paso, TX, United States
| | - Desiree N. Tapia
- Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center at El Paso, El Paso, TX, United States
| | - Andres J. Rubio
- Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center at El Paso, El Paso, TX, United States
| | - Connor Jordan
- L. Frederick Francis Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center at El Paso, El Paso, TX, United States
| | - David Elliott
- Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center at El Paso, El Paso, TX, United States
| | - Anna M. Eiring
- Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center at El Paso, El Paso, TX, United States
- Center of Emphasis in Cancer, Department of Molecular and Translational Medicine, Texas Tech University Health Sciences Center at El Paso, El Paso, TX, United States
- L. Frederick Francis Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center at El Paso, El Paso, TX, United States
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Identification and Verification of Potential Biomarkers in Renal Ischemia-Reperfusion Injury by Integrated Bioinformatic Analysis. BIOMED RESEARCH INTERNATIONAL 2023; 2023:7629782. [PMID: 36778059 PMCID: PMC9911259 DOI: 10.1155/2023/7629782] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 01/05/2023] [Accepted: 01/13/2023] [Indexed: 02/05/2023]
Abstract
Background Renal ischemia-reperfusion injury (RIRI) plays an important role in the poor prognosis of patients with renal transplants. However, the potential targets and mechanism of IRI are still unclear. Method Differential gene expression (DEG) analysis and weighted correlation network analysis (WGCNA) were performed on the GSE27274 dataset. Pathway enrichment analysis on the DEGs was performed. To identify the hub DEGs, we constructed a protein-protein interaction (PPI) network. Finally, the hub genes were verified, and candidate drugs were screened from the DsigDB database. Results A hundred DEGs and four hub genes (Atf3, Psmb6, Psmb8, and Psmb10) were screened out. Pathway enrichment analysis revealed that 100 DEGs were mainly enriched in apoptosis and the TNF signaling pathway. The four hub genes were verified in animal models and another dataset (GSE148420). Thereafter, a PPI network was used to identify the four hub genes (Atf3, Psmb6, Psmb8, and Psmb10). Finally, eight candidate drugs were identified as potential drugs. Conclusion Three hub genes (Psmb6, Psmb8, and Psmb10) were associated with RIRI and could be potential novel biomarkers for RIRI.
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Haertle L, Barrio S, Munawar U, Han S, Zhou X, Simicek M, Vogt C, Truger M, Fernandez RA, Steinhardt M, Weingart J, Snaurova R, Nerreter S, Teufel E, Garitano-Trojaola A, Da Viá M, Ruiz-Heredia Y, Rosenwald A, Bolli N, Hajek R, Raab P, Raab MS, Weinhold N, Haferlach C, Haaf T, Martinez-Lopez J, Einsele H, Rasche L, Kortüm KM. Single-Nucleotide Variants and Epimutations Induce Proteasome Inhibitor Resistance in Multiple Myeloma. Clin Cancer Res 2023; 29:279-288. [PMID: 36282272 DOI: 10.1158/1078-0432.ccr-22-1161] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 07/08/2022] [Accepted: 10/21/2022] [Indexed: 02/07/2023]
Abstract
PURPOSE Proteasome inhibitors (PI) are the backbone of various treatment regimens in multiple myeloma. We recently described the first in-patient point mutations affecting the 20S subunit PSMB5 underlying PI resistance. Notably, in vivo, the incidence of mutations in PSMB5 and other proteasome encoding genes is too low to explain the development of resistance in most of the affected patients. Thus, additional genetic and epigenetic alterations need to be explored. EXPERIMENTAL DESIGN We performed DNA methylation profiling by Deep Bisulfite Sequencing in PSMB5, PSMC2, PSMC5, PSMC6, PSMD1, and PSMD5, a subset of proteasome subunits that have hitherto been associated with PI resistance, recruited from our own previous research, the literature, or a meta-analysis on the frequency of somatic mutations. Methylation was followed up on gene expression level and by dual-luciferase reporter assay. The KMS11 cell line served as a model to functionally test the impact of demethylating agents. RESULTS We identified PSMD5 promoter hypermethylation and subsequent epigenetic gene silencing in 24% of PI refractory patients. Hypermethylation correlated with decreased expression and the regulatory impact of this region was functionally confirmed. In contrast, patients with newly diagnosed multiple myeloma, along with peripheral blood mononuclear cells and CD138+ plasma cells from healthy donors, generally show unmethylated profiles. CONCLUSIONS Under the selective pressure of PI treatment, multiple myeloma cells acquire methylation of the PSMD5 promoter silencing the PSMD5 gene expression. PSMD5 acts as a key orchestrator of proteasome assembly and its downregulation was described to increase the cell's proteolytic capacity. PSMD5 hypermethylation, therefore, represents a novel mechanism of PI tolerance in multiple myeloma.
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Affiliation(s)
- Larissa Haertle
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany.,Department of Hematology, Hospital Universitario 12 de Octubre, Spanish National Cancer Research Center, Complutense University Madrid, Madrid, Spain
| | - Santiago Barrio
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany.,Department of Hematology, Hospital Universitario 12 de Octubre, Spanish National Cancer Research Center, Complutense University Madrid, Madrid, Spain.,Altum Sequencing Co., Madrid, Spain
| | - Umair Munawar
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | - Seungbin Han
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | - Xiang Zhou
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | - Michal Simicek
- Haematology, Ostrava University Hospital, Ostrava, Czech Republic.,Faculty of Medicine, Ostrava University, Ostrava, Czech Republic
| | - Cornelia Vogt
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | | | - Rafael Alonso Fernandez
- Department of Hematology, Hospital Universitario 12 de Octubre, Spanish National Cancer Research Center, Complutense University Madrid, Madrid, Spain
| | | | - Julia Weingart
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | - Renata Snaurova
- Haematology, Ostrava University Hospital, Ostrava, Czech Republic.,Faculty of Medicine, Ostrava University, Ostrava, Czech Republic
| | - Silvia Nerreter
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | - Eva Teufel
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | | | - Matteo Da Viá
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.,Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Yanira Ruiz-Heredia
- Department of Hematology, Hospital Universitario 12 de Octubre, Spanish National Cancer Research Center, Complutense University Madrid, Madrid, Spain.,Altum Sequencing Co., Madrid, Spain
| | | | - Niccolò Bolli
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.,Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Roman Hajek
- Haematology, Ostrava University Hospital, Ostrava, Czech Republic.,Faculty of Medicine, Ostrava University, Ostrava, Czech Republic
| | - Peter Raab
- Department of Orthopaedic Surgery, König Ludwig Haus, University of Würzburg, Würzburg, Germany
| | - Marc S Raab
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany.,Clinical Cooperation Unit Molecular Hematology/Oncology, Department of Internal Medicine V, Heidelberg University Hospital, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Niels Weinhold
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Thomas Haaf
- Institute of Human Genetics, Julius Maximilians University Würzburg, Würzburg, Germany
| | - Joaquin Martinez-Lopez
- Department of Hematology, Hospital Universitario 12 de Octubre, Spanish National Cancer Research Center, Complutense University Madrid, Madrid, Spain.,Altum Sequencing Co., Madrid, Spain
| | - Hermann Einsele
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | - Leo Rasche
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | - K Martin Kortüm
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
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Wang G, Fan F, Sun C, Hu Y. Looking into Endoplasmic Reticulum Stress: The Key to Drug-Resistance of Multiple Myeloma? Cancers (Basel) 2022; 14:5340. [PMID: 36358759 PMCID: PMC9654020 DOI: 10.3390/cancers14215340] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 10/21/2022] [Accepted: 10/27/2022] [Indexed: 09/22/2023] Open
Abstract
Multiple myeloma (MM) is the second most common hematologic malignancy, resulting from the clonal proliferation of malignant plasma cells within the bone marrow. Despite significant advances that have been made with novel drugs over the past two decades, MM patients often develop therapy resistance, especially to bortezomib, the first-in-class proteasome inhibitor that was approved for treatment of MM. As highly secretory monoclonal protein-producing cells, MM cells are characterized by uploaded endoplasmic reticulum stress (ERS), and rely heavily on the ERS response for survival. Great efforts have been made to illustrate how MM cells adapt to therapeutic stresses through modulating the ERS response. In this review, we summarize current knowledge on the mechanisms by which ERS response pathways influence MM cell fate and response to treatment. Moreover, based on promising results obtained in preclinical studies, we discuss the prospect of applying ERS modulators to overcome drug resistance in MM.
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Affiliation(s)
- Guangqi Wang
- Department of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1277, Wuhan 430022, China
| | - Fengjuan Fan
- Department of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1277, Wuhan 430022, China
| | - Chunyan Sun
- Department of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1277, Wuhan 430022, China
- Collaborative Innovation Center of Hematology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Yu Hu
- Department of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1277, Wuhan 430022, China
- Collaborative Innovation Center of Hematology, Huazhong University of Science and Technology, Wuhan 430074, China
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Ullah MA, Islam NN, Moin AT, Park SH, Kim B. Evaluating the Prognostic and Therapeutic Potentials of the Proteasome 26S Subunit, ATPase ( PSMC) Family of Genes in Lung Adenocarcinoma: A Database Mining Approach. Front Genet 2022; 13:935286. [PMID: 35938038 PMCID: PMC9353525 DOI: 10.3389/fgene.2022.935286] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 06/10/2022] [Indexed: 11/30/2022] Open
Abstract
This study explored the prognostic and therapeutic potentials of multiple Proteasome 26S Subunit, ATPase (PSMC) family of genes (PSMC1-5) in lung adenocarcinoma (LUAD) diagnosis and treatment. All the PSMCs were found to be differentially expressed (upregulated) at the mRNA and protein levels in LUAD tissues. The promoter and multiple coding regions of PSMCs were reported to be differentially and distinctly methylated, which may serve in the methylation-sensitive diagnosis of LUAD patients. Multiple somatic mutations (alteration frequency: 0.6-2%) were observed along the PSMC coding regions in LUAD tissues that could assist in the high-throughput screening of LUAD patients. A significant association between the PSMC overexpression and LUAD patients' poor overall and relapse-free survival (p < 0.05; HR: >1.3) and individual cancer stages (p < 0.001) was discovered, which justifies PSMCs as the ideal targets for LUAD diagnosis. Multiple immune cells and modulators (i.e., CD274 and IDO1) were found to be associated with the expression levels of PSMCs in LUAD tissues that could aid in formulating PSMC-based diagnostic measures and therapeutic interventions for LUAD. Functional enrichment analysis of neighbor genes of PSMCs in LUAD tissues revealed different genes (i.e., SLIRP, PSMA2, and NUDSF3) previously known to be involved in oncogenic processes and metastasis are co-expressed with PSMCs, which could also be investigated further. Overall, this study recommends that PSMCs and their transcriptional and translational products are potential candidates for LUAD diagnostic and therapeutic measure discovery.
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Affiliation(s)
- Md. Asad Ullah
- Department of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Jahangirnagar University, Dhaka, Bangladesh
| | - Nafisa Nawal Islam
- Department of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Jahangirnagar University, Dhaka, Bangladesh
| | - Abu Tayab Moin
- Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chattogram, Bangladesh
| | - Su Hyun Park
- Department of Pathology, College of Korean Medicine, Kyung Hee University, Seoul, Korea
| | - Bonglee Kim
- Department of Pathology, College of Korean Medicine, Kyung Hee University, Seoul, Korea
- Korean Medicine-Based Drug Repositioning Cancer Research Center, College of Korean Medicine, Kyung Hee University, Seoul, Korea
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Salifu SP, Doughan A. New Clues to Prognostic Biomarkers of Four Hematological Malignancies. J Cancer 2022; 13:2490-2503. [PMID: 35711821 PMCID: PMC9174851 DOI: 10.7150/jca.69274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 03/06/2022] [Indexed: 11/24/2022] Open
Abstract
Globally, one out of every two reported cases of hematologic malignancies (HMs) results in death. Each year approximately 1.24 million cases of HMs are recorded, of which 58% become fatal. Early detection remains critical in the management and treatment of HMs. However, this is thwarted by the inadequate number of reliable biomarkers. In this study, we mined public databases for RNA-seq data on four common HMs intending to identify novel biomarkers that could serve as HM management and treatment targets. A standard RNA-seq analysis pipeline was strictly adhered to in identifying differentially expressed genes (DEGs) with DESeq2, limma+voom and edgeR. We further performed gene enrichment analysis, protein-protein interaction (PPI) network analysis, survival analysis and tumor immune infiltration level detection on the genes using G:Profiler, Cytoscape and STRING, GEPIA tool and TIMER, respectively. A total of 2,136 highly-ranked DEGs were identified in HM vs. non-HM samples. Gene ontology and pathway enrichment analyses revealed the DEGs to be mainly enriched in steroid biosynthesis (5.075×10-4), cholesterol biosynthesis (2.525×10-8), protein binding (3.308×10-18), catalytic activity (2.158×10-10) and biogenesis (5.929×10-8). The PPI network resulted in 60 hub genes which were verified with data from TCGA, MET500, CPTAC and GTEx projects. Survival analyses with clinical data from TCGA showed that high expression of SRSF1, SRSF6, UBE2Z and PCF11, and low expression of HECW2 were correlated with poor prognosis in HMs. In summary, our study unraveled essential genes that could serve as potential biomarkers for prognosis and may serve as drug targets for HM management.
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Affiliation(s)
- Samson Pandam Salifu
- Department of Biochemistry and Biotechnology, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana
- Kumasi Centre for Collaborative Research in Tropical Medicine (KCCR), Kumasi, Ghana
| | - Albert Doughan
- Department of Biochemistry and Biotechnology, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana
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Single-cell transcriptomics of neuroblastoma identifies chemoresistance-associated genes and pathways. Comput Struct Biotechnol J 2022; 20:4437-4445. [PMID: 36051886 PMCID: PMC9418686 DOI: 10.1016/j.csbj.2022.08.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 08/12/2022] [Accepted: 08/12/2022] [Indexed: 11/22/2022] Open
Abstract
High-Risk neuroblastoma (NB) survival rate is still <50%, despite treatments being more and more aggressive. The biggest hurdle liable to cancer therapy failure is the drug resistance by tumor cells that is likely due to the intra-tumor heterogeneity (ITH). To investigate the link between ITH and therapy resistance in NB, we performed a single cell RNA sequencing (scRNAseq) of etoposide and cisplatin resistant NB and their parental cells. Our analysis showed a clear separation of resistant and parental cells for both conditions by identifying 8 distinct tumor clusters in etoposide-resistant/parental and 7 in cisplatin-resistant/parental cells. We discovered that drug resistance can affect NB cell identities; highlighting the bi-directional ability of adrenergic-to-mesenchymal transition of NB cells. The biological processes driving the identified resistant cell subpopulations revealed genes such as (BARD1, BRCA1, PARP1, HISTH1 axis, members of RPL family), suggesting a potential drug resistance due to the acquisition of DNA repair mechanisms and to the modification of the drug targets. Deconvolution analysis of bulk RNAseq data from 498 tumors with cell subpopulation signatures showed that the transcriptional heterogeneity of our cellular models reflected the ITH of NB tumors and allowed the identification of clusters associated with worse/better survival. Our study demonstrates the distinct cell populations characterized by genes involved in different biological processes can have a role in NB drug treatment failure. These findings evidence the importance of ITH in NB drug resistance studies and the chance that scRNA-seq analysis offers in the identification of genes and pathways liable for drug resistance.
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Prognostic Value of Resistance Proteins in Plasma Cells from Multiple Myeloma Patients Treated with Bortezomib-Based Regimens. J Clin Med 2021; 10:jcm10215028. [PMID: 34768548 PMCID: PMC8584776 DOI: 10.3390/jcm10215028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 10/21/2021] [Accepted: 10/26/2021] [Indexed: 12/20/2022] Open
Abstract
While multiple myeloma (MM) treatment with proteasome inhibitors and other agents yields encouraging results, primary and secondary resistance remains an emerging problem. An important factor in such treatment resistance is the overexpression of several proteins. The present study comprehensively evaluates the expression of POMP, PSMB5, NRF2, XBP1, cMAF and MAFb proteins in plasma cells isolated from the bone marrow of 39 MM patients treated with bortezomib-based regimens using an enzyme-linked immunosorbent assay (ELISA). The proteins were selected on the basis of previous laboratory and clinical studies in bortezomib-treated MM patients. It was found that the expression of the investigated proteins did not significantly differ between bortezomib-sensitive and bortezomib-refractory patients. However, the expression of some proteins correlated with overall survival (OS); this was significantly shorter in patients with higher POMP expression (HR 2.8, 95% CI: 1.1–7.0, p = 0.0277) and longer in those with higher MAFB expression (HR 0.32, 95% CI: 0.13–0.80, p = 0.0147). Our results indicate that a high expression of POMP and MAFB in MM plasma cells may serve as predictors of OS in MM patients treated with bortezomib-based regimens. However, further studies are needed to determine the role of these factors in effective strategies for improving anti-myeloma therapy.
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Bian Y, Sui Q, Bi G, Zheng Y, Zhao M, Yao G, Xue L, Zhang Y, Fan H. Identification and Validation of a Proliferation-Associated Score Model Predicting Survival in Lung Adenocarcinomas. DISEASE MARKERS 2021; 2021:3219594. [PMID: 34721732 PMCID: PMC8554523 DOI: 10.1155/2021/3219594] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 09/26/2021] [Accepted: 09/30/2021] [Indexed: 01/22/2023]
Abstract
AIM This study is aimed at building a risk model based on the genes that significantly altered the proliferation of lung adenocarcinoma cells and exploring the underlying mechanisms. METHODS The data of 60 lung adenocarcinoma cell lines in the Cancer Dependency Map (Depmap) were used to identify the genes whose knockout led to dramatical acceleration or deacceleration of cell proliferation. Then, univariate Cox regression was performed using the survival data of 497 patients with lung adenocarcinoma in The Cancer Genome Atlas (TCGA). The least absolute shrinkage and selection operator (LASSO) model was used to construct a risk prediction score model. Patients with lung adenocarcinoma from TCGA were classified into high- or low-risk groups based on the scores. The differences in clinicopathologic, genomic, and immune characteristics between the two groups were analyzed. The prognosis of the genes in the model was verified with immunohistochemical staining in 100 samples from the Department of Thoracic Surgery, Zhongshan Hospital, and the alteration in the proliferation rate was checked after these genes were knocked down in lung adenocarcinoma cells (A549 and H358). RESULTS A total of 55 genes were found to be significantly related to survival by combined methods, which were crucial to tumor progression in functional enrichment analysis. A six-gene-based risk prediction score, including the proteasome subunit beta type-6 (PSMB6), the heat shock protein family A member 9 (HSPA9), the deoxyuridine triphosphatase (DUT), the cyclin-dependent kinase 7 (CDK7), the polo-like kinases 1 (PLK1), and the folate receptor beta 2 (FOLR2), was built using the LASSO method. The high-risk group classified with the score model was characterized by poor overall survival (OS), immune infiltration, and relatively higher mutation load. A total of 9864 differentially expressed genes and 138 differentially expressed miRNAs were found between the two groups. Also, a nomogram comparing score model, age, and the stage was built to predict OS for patients with lung adenocarcinoma. Using immunohistochemistry, the expression levels of PSMB6, HSPA9, DUT, CDK7, and PLK1 were found to be higher in lung adenocarcinoma tissues of patients, while the expression of FOLR2 was low, which was consistent with survival prediction. The knockdown of PSMB6 and HSPA9 by siRNA significantly downregulated the proliferation of A549 and H358 cells. CONCLUSION The proposed score model may function as a promising risk prediction tool for patients with lung adenocarcinoma and provide insights into the molecular regulation mechanism of lung adenocarcinoma.
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Affiliation(s)
- Yunyi Bian
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qihai Sui
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Guoshu Bi
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yuansheng Zheng
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Mengnan Zhao
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Guangyu Yao
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Liang Xue
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yi Zhang
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hong Fan
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
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From Bench to Bedside: The Evolution of Genomics and Its Implications for the Current and Future Management of Multiple Myeloma. ACTA ACUST UNITED AC 2021; 27:213-221. [PMID: 34549910 DOI: 10.1097/ppo.0000000000000523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
ABSTRACT The summation of 20 years of biological studies and the comprehensive analysis of more than 1000 multiple myeloma genomes with data linked to clinical outcome has enabled an increased understanding of the pathogenesis of multiple myeloma in the context of normal plasma cell biology. This novel data have facilitated the identification of prognostic markers and targets suitable for therapeutic manipulation. The challenge moving forward is to translate this genetic and biological information into the clinic to improve patient care. This review discusses the key data required to achieve this and provides a framework within which to explore the use of response-adapted, biologically targeted, molecularly targeted, and risk-stratified therapeutic approaches to improve the management of patients with multiple myeloma.
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Sanderson MP, Friese-Hamim M, Walter-Bausch G, Busch M, Gaus S, Musil D, Rohdich F, Zanelli U, Downey-Kopyscinski SL, Mitsiades CS, Schadt O, Klein M, Esdar C. M3258 Is a Selective Inhibitor of the Immunoproteasome Subunit LMP7 (β5i) Delivering Efficacy in Multiple Myeloma Models. Mol Cancer Ther 2021; 20:1378-1387. [PMID: 34045234 PMCID: PMC9398180 DOI: 10.1158/1535-7163.mct-21-0005] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 03/05/2021] [Accepted: 05/07/2021] [Indexed: 01/07/2023]
Abstract
Large multifunctional peptidase 7 (LMP7/β5i/PSMB8) is a proteolytic subunit of the immunoproteasome, which is predominantly expressed in normal and malignant hematolymphoid cells, including multiple myeloma, and contributes to the degradation of ubiquitinated proteins. Described herein for the first time is the preclinical profile of M3258; an orally bioavailable, potent, reversible and highly selective LMP7 inhibitor. M3258 demonstrated strong antitumor efficacy in multiple myeloma xenograft models, including a novel model of the human bone niche of multiple myeloma. M3258 treatment led to a significant and prolonged suppression of tumor LMP7 activity and ubiquitinated protein turnover and the induction of apoptosis in multiple myeloma cells both in vitro and in vivo Furthermore, M3258 showed superior antitumor efficacy in selected multiple myeloma and mantle cell lymphoma xenograft models compared with the approved nonselective proteasome inhibitors bortezomib and ixazomib. The differentiated preclinical profile of M3258 supported the initiation of a phase I study in patients with multiple myeloma (NCT04075721).
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Affiliation(s)
- Michael P. Sanderson
- Merck KGaA, Darmstadt, Germany.,Corresponding Author: Michael P. Sanderson, Merck KGaA, Frankfurter Strasse 250, Darmstadt, 64293, Germany. Phone: 49-615-1725-6970; Fax: 49-61-517-2914-9106; E-mail:
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Wu D, Miao J, Hu J, Li F, Gao D, Chen H, Feng Y, Shen Y, He A. PSMB7 Is a Key Gene Involved in the Development of Multiple Myeloma and Resistance to Bortezomib. Front Oncol 2021; 11:684232. [PMID: 34367968 PMCID: PMC8343178 DOI: 10.3389/fonc.2021.684232] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 07/08/2021] [Indexed: 12/22/2022] Open
Abstract
Multiple myeloma (MM), the second most commonly diagnosed hematologic neoplasm, is the most significant clinical manifestation in a series of plasma cell (PC) dyscrasia. Monoclonal gammopathy of undetermined significance (MGUS) and smoldering MM (SMM), approximately 1% or 10% of which, respectively, can progress to MM per year, are the premalignant stages of MM. The overall survival (OS) of MM is significantly improved by the introduction of proteasome inhibitors (PIs), but almost all MM patients eventually relapse and resist anti-MM drugs. Therefore, it is crucial to explore the progression of MM and the mechanisms related to MM drug resistance. In this study, we used weighted gene co-expression network analysis (WGCNA) to analyze the gene expression of the dynamic process from normal plasma cells (NPC) to malignant profiling PC, and found that the abnormal gene expression was mainly concentrated in the proteasome. We also found that the expression of one of the proteasomal subunits PSMB7 was capable of distinguishing the different stages of PC dyscrasia and was the highest in ISS III. In the bortezomib (BTZ) treated NDMM patients, higher PSMB7 expression was associated with shorter survival time, and the expression of PSMB7 in the BTZ treatment group was significantly higher than in the thalidomide (Thai) treatment group. In summary, we found that PSMB7 is the key gene associated with MM disease progression and drug resistance.
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Affiliation(s)
- Dong Wu
- Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jiyu Miao
- Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jinsong Hu
- Department of Cell Biology and Genetics, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Fangmei Li
- Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Dandan Gao
- Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Hongli Chen
- Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yuandong Feng
- Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Ying Shen
- Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Aili He
- Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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Bo Kim K. Proteasomal adaptations to FDA-approved proteasome inhibitors: a potential mechanism for drug resistance? CANCER DRUG RESISTANCE (ALHAMBRA, CALIF.) 2021; 4:634-645. [PMID: 34308274 PMCID: PMC8297691 DOI: 10.20517/cdr.2021.27] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
With proteasome inhibitors (PIs) becoming clinically available since 2003, outcomes for patients with multiple myeloma (MM) have dramatically changed, improving quality of life and survival. Despite the impressive treatment success, however, almost all MM patients who initially respond to these PIs eventually develop resistance. Furthermore, a portion of MM patients is inherently unresponsive to the PIs. Extensive mechanistic investigations identified several non-proteasomal signaling pathways suspected to be linked to the PI resistance, for which several excellent reviews are currently available. On the other hand, it is still unclear how cancer cells under high PI environments adapt to spare proteasome activity essential for survival and proliferation regardless of cancer evolution stages. This review outlines current progress towards understanding the proteasomal adaptations of cells in response to PI treatment to maintain necessary proteasome activity. A better understanding of cellular proteasomal changes in response to the PIs could provide a rationale to develop new therapeutics that could be used to overcome resistance to existing PI drugs.
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Affiliation(s)
- Kyung Bo Kim
- Department of Pharmaceutics, College of Pharmacy, University of Kentucky, Lexington, KY 40536-0596, USA
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Ovejero S, Moreaux J. Multi-omics tumor profiling technologies to develop precision medicine in multiple myeloma. EXPLORATION OF TARGETED ANTI-TUMOR THERAPY 2021. [DOI: 10.37349/etat.2020.00034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Multiple myeloma (MM), the second most common hematologic cancer, is caused by accumulation of aberrant plasma cells in the bone marrow. Its molecular causes are not fully understood and its great heterogeneity among patients complicates therapeutic decision-making. In the past decades, development of new therapies and drugs have significantly improved survival of MM patients. However, resistance to drugs and relapse remain the most common causes of mortality and are the major challenges to overcome. The advent of high throughput omics technologies capable of analyzing big amount of clinical and biological data has changed the way to diagnose and treat MM. Integration of omics data (gene mutations, gene expression, epigenetic information, and protein and metabolite levels) with clinical histories of thousands of patients allows to build scores to stratify the risk at diagnosis and predict the response to treatment, helping clinicians to make better educated decisions for each particular case. There is no doubt that the future of MM treatment relies on personalized therapies based on predictive models built from omics studies. This review summarizes the current treatments and the use of omics technologies in MM, and their importance in the implementation of personalized medicine.
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Affiliation(s)
- Sara Ovejero
- Department of Biological Hematology, CHU Montpellier, 34295 Montpellier, France 2Institute of Human Genetics, UMR 9002 CNRS-UM, 34000 Montpellier, France
| | - Jerome Moreaux
- Department of Biological Hematology, CHU Montpellier, 34295 Montpellier, France 2Institute of Human Genetics, UMR 9002 CNRS-UM, 34000 Montpellier, France 3University of Montpellier, UFR Medicine, 34093 Montpellier, France 4 Institut Universitaire de France (IUF), 75000 Paris France
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Ovejero S, Moreaux J. Multi-omics tumor profiling technologies to develop precision medicine in multiple myeloma. EXPLORATION OF TARGETED ANTI-TUMOR THERAPY 2021; 2:65-106. [PMID: 36046090 PMCID: PMC9400753 DOI: 10.37349/etat.2021.00034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Accepted: 01/06/2021] [Indexed: 11/19/2022] Open
Abstract
Multiple myeloma (MM), the second most common hematologic cancer, is caused by accumulation of aberrant plasma cells in the bone marrow. Its molecular causes are not fully understood and its great heterogeneity among patients complicates therapeutic decision-making. In the past decades, development of new therapies and drugs have significantly improved survival of MM patients. However, resistance to drugs and relapse remain the most common causes of mortality and are the major challenges to overcome. The advent of high throughput omics technologies capable of analyzing big amount of clinical and biological data has changed the way to diagnose and treat MM. Integration of omics data (gene mutations, gene expression, epigenetic information, and protein and metabolite levels) with clinical histories of thousands of patients allows to build scores to stratify the risk at diagnosis and predict the response to treatment, helping clinicians to make better educated decisions for each particular case. There is no doubt that the future of MM treatment relies on personalized therapies based on predictive models built from omics studies. This review summarizes the current treatments and the use of omics technologies in MM, and their importance in the implementation of personalized medicine.
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Affiliation(s)
- Sara Ovejero
- Department of Biological Hematology, CHU Montpellier, 34295 Montpellier, France 2Institute of Human Genetics, UMR 9002 CNRS-UM, 34000 Montpellier, France
| | - Jerome Moreaux
- Department of Biological Hematology, CHU Montpellier, 34295 Montpellier, France 2Institute of Human Genetics, UMR 9002 CNRS-UM, 34000 Montpellier, France 3UFR Medicine, University of Montpellier, 34093 Montpellier, France 4Institut Universitaire de France (IUF), 75000 Paris, France
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The Prognostic Value of Whole-Blood PSMB5, CXCR4, POMP, and RPL5 mRNA Expression in Patients with Multiple Myeloma Treated with Bortezomib. Cancers (Basel) 2021; 13:cancers13050951. [PMID: 33668794 PMCID: PMC7956525 DOI: 10.3390/cancers13050951] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 02/08/2021] [Accepted: 02/16/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary The mRNA expression of nine previously described genes that may affect resistance to multiple myeloma (MM), viz., ABCB1, CXCR4, MAF, MARCKS, POMP, PSMB5, RPL5, TXN, and XBP1, was compared between bortezomib-refractory and bortezomib-sensitive patients. RPL5 was the only gene to be significantly down-regulated in MM patients compared with non-MM individuals, while POMP was significantly up-regulated in the bortezomib-refractory patients. Multivariate analysis found the best independent predictors of progression-free survival to be high PSMB5 and CXCR expression and autologous stem cell transplantation, and that high expression of POMP and RPL5 were associated with shorter survival. Abstract Proteasome inhibitors, like bortezomib, play a key role in the treatment of multiple myeloma (MM); however, most patients eventually relapse and eventually show multiple drug resistance, and the molecular mechanisms of this resistance remain unclear. The aim of our study is to assess the expression of previously described genes that may influence the resistance to bortezomib treatment at the mRNA level (ABCB1, CXCR4, MAF, MARCKS, POMP, PSMB5, RPL5, TXN, and XBP1) and prognosis of MM patients. mRNA expression was determined in 73 MM patients treated with bortezomib-based regimens (30 bortzomib-sensitive and 43 bortezomib-refractory patients) and 11 healthy controls. RPL5 was significantly down-regulated in multiple myeloma patients as compared with healthy controls. Moreover, POMP was significantly up-regulated in MM patients refractory to bortezomib-based treatment. In multivariate analysis, high expression of PSMB5 and CXCR and autologous stem cell transplantation were independent predictors of progression-free survival, and high expression of POMP and RPL5 was associated with shorter overall survival.
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