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Multiple Myeloma: Genetic and Epigenetic Biomarkers with Clinical Potential
Multiple myeloma (MM) is characterized by the uncontrolled proliferation of monoclonal plasma cells and accounts for approximately 10% of all hematologic malignancies. The clinical outcomes of MM can exhibit considerable variability. Variability in both the genetic and epigenetic characteristics of...
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Published in: | International journal of molecular sciences 2024-12, Vol.25 (24), p.13404 |
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creator | Veryaskina, Yuliya A Titov, Sergei E Skvortsova, Natalia V Kovynev, Igor B Antonenko, Oksana V Demakov, Sergei A Demenkov, Pavel S Pospelova, Tatiana I Ivanov, Mikhail K Zhimulev, Igor F |
description | Multiple myeloma (MM) is characterized by the uncontrolled proliferation of monoclonal plasma cells and accounts for approximately 10% of all hematologic malignancies. The clinical outcomes of MM can exhibit considerable variability. Variability in both the genetic and epigenetic characteristics of MM undeniably contributes to tumor dynamics. The aim of the present study was to identify biomarkers with the potential to improve the accuracy of prognosis assessment in MM. Initially, miRNA sequencing was conducted on bone marrow (BM) samples from patients with MM. Subsequently, the expression levels of 27 microRNAs (miRNA) and the gene expression levels of ASF1B, CD82B, CRISP3, FN1, MEF2B, PD-L1, PPARγ, TERT, TIMP1, TOP2A, and TP53 were evaluated via real-time reverse transcription polymerase chain reaction in BM samples from patients with MM exhibiting favorable and unfavorable prognoses. Additionally, the analysis involved the bone marrow samples from patients undergoing examinations for non-cancerous blood diseases (NCBD). The findings indicate a statistically significant increase in the expression levels of miRNA-124, -138, -10a, -126, -143, -146b, -20a, -21, -29b, and let-7a and a decrease in the expression level of miRNA-96 in the MM group compared with NCBD (
< 0.05). No statistically significant differences were detected in the expression levels of the selected miRNAs between the unfavorable and favorable prognoses in MM groups. The expression levels of ASF1B, CD82B, and CRISP3 were significantly decreased, while those of FN1, MEF2B, PDL1, PPARγ, and TERT were significantly increased in the MM group compared to the NCBD group (
< 0.05). The MM group with a favorable prognosis demonstrated a statistically significant decline in TIMP1 expression and a significant increase in CD82B and CRISP3 expression compared to the MM group with an unfavorable prognosis (
< 0.05). From an empirical point of view, we have established that the complex biomarker encompassing the CRISP3/TIMP1 expression ratio holds promise as a prognostic marker in MM. From a fundamental point of view, we have demonstrated that the development of MM is rooted in a cascade of complex molecular pathways, demonstrating the interplay of genetic and epigenetic factors. |
doi_str_mv | 10.3390/ijms252413404 |
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< 0.05). No statistically significant differences were detected in the expression levels of the selected miRNAs between the unfavorable and favorable prognoses in MM groups. The expression levels of ASF1B, CD82B, and CRISP3 were significantly decreased, while those of FN1, MEF2B, PDL1, PPARγ, and TERT were significantly increased in the MM group compared to the NCBD group (
< 0.05). The MM group with a favorable prognosis demonstrated a statistically significant decline in TIMP1 expression and a significant increase in CD82B and CRISP3 expression compared to the MM group with an unfavorable prognosis (
< 0.05). From an empirical point of view, we have established that the complex biomarker encompassing the CRISP3/TIMP1 expression ratio holds promise as a prognostic marker in MM. From a fundamental point of view, we have demonstrated that the development of MM is rooted in a cascade of complex molecular pathways, demonstrating the interplay of genetic and epigenetic factors.</description><identifier>ISSN: 1422-0067</identifier><identifier>ISSN: 1661-6596</identifier><identifier>EISSN: 1422-0067</identifier><identifier>DOI: 10.3390/ijms252413404</identifier><identifier>PMID: 39769169</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adult ; Aged ; Aged, 80 and over ; B cells ; Bioinformatics ; Biological markers ; Biomarkers ; Biomarkers, Tumor - genetics ; Biomarkers, Tumor - metabolism ; Bone marrow ; Bone Marrow - metabolism ; Bone Marrow - pathology ; Chromosomes ; Development and progression ; Disease ; Epigenesis, Genetic ; Epigenetic inheritance ; Epigenetics ; Female ; Fibronectins ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genes ; Genetic aspects ; Genetic research ; Humans ; Liu, Timothy ; Male ; Medical prognosis ; Medical research ; Medicine, Experimental ; MicroRNA ; MicroRNAs ; MicroRNAs - genetics ; Middle Aged ; Multiple myeloma ; Multiple Myeloma - diagnosis ; Multiple Myeloma - genetics ; Multiple Myeloma - metabolism ; Multiple Myeloma - pathology ; Pathogenesis ; Patients ; Prognosis ; Tumor proteins ; Vincristine</subject><ispartof>International journal of molecular sciences, 2024-12, Vol.25 (24), p.13404</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c313t-94f5053e671b064c31c4ceef14d68a4d3cddc58f24a3845e1b094ae1424ec3013</cites><orcidid>0000-0001-9433-8341 ; 0000-0001-7503-2435 ; 0000-0001-6938-3802 ; 0000-0001-9401-5737 ; 0000-0002-3799-9407</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3149647457/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3149647457?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,777,781,25734,27905,27906,36993,36994,44571,74875</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39769169$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Veryaskina, Yuliya A</creatorcontrib><creatorcontrib>Titov, Sergei E</creatorcontrib><creatorcontrib>Skvortsova, Natalia V</creatorcontrib><creatorcontrib>Kovynev, Igor B</creatorcontrib><creatorcontrib>Antonenko, Oksana V</creatorcontrib><creatorcontrib>Demakov, Sergei A</creatorcontrib><creatorcontrib>Demenkov, Pavel S</creatorcontrib><creatorcontrib>Pospelova, Tatiana I</creatorcontrib><creatorcontrib>Ivanov, Mikhail K</creatorcontrib><creatorcontrib>Zhimulev, Igor F</creatorcontrib><title>Multiple Myeloma: Genetic and Epigenetic Biomarkers with Clinical Potential</title><title>International journal of molecular sciences</title><addtitle>Int J Mol Sci</addtitle><description>Multiple myeloma (MM) is characterized by the uncontrolled proliferation of monoclonal plasma cells and accounts for approximately 10% of all hematologic malignancies. The clinical outcomes of MM can exhibit considerable variability. Variability in both the genetic and epigenetic characteristics of MM undeniably contributes to tumor dynamics. The aim of the present study was to identify biomarkers with the potential to improve the accuracy of prognosis assessment in MM. Initially, miRNA sequencing was conducted on bone marrow (BM) samples from patients with MM. Subsequently, the expression levels of 27 microRNAs (miRNA) and the gene expression levels of ASF1B, CD82B, CRISP3, FN1, MEF2B, PD-L1, PPARγ, TERT, TIMP1, TOP2A, and TP53 were evaluated via real-time reverse transcription polymerase chain reaction in BM samples from patients with MM exhibiting favorable and unfavorable prognoses. Additionally, the analysis involved the bone marrow samples from patients undergoing examinations for non-cancerous blood diseases (NCBD). The findings indicate a statistically significant increase in the expression levels of miRNA-124, -138, -10a, -126, -143, -146b, -20a, -21, -29b, and let-7a and a decrease in the expression level of miRNA-96 in the MM group compared with NCBD (
< 0.05). No statistically significant differences were detected in the expression levels of the selected miRNAs between the unfavorable and favorable prognoses in MM groups. The expression levels of ASF1B, CD82B, and CRISP3 were significantly decreased, while those of FN1, MEF2B, PDL1, PPARγ, and TERT were significantly increased in the MM group compared to the NCBD group (
< 0.05). The MM group with a favorable prognosis demonstrated a statistically significant decline in TIMP1 expression and a significant increase in CD82B and CRISP3 expression compared to the MM group with an unfavorable prognosis (
< 0.05). From an empirical point of view, we have established that the complex biomarker encompassing the CRISP3/TIMP1 expression ratio holds promise as a prognostic marker in MM. From a fundamental point of view, we have demonstrated that the development of MM is rooted in a cascade of complex molecular pathways, demonstrating the interplay of genetic and epigenetic factors.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>B cells</subject><subject>Bioinformatics</subject><subject>Biological markers</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Bone marrow</subject><subject>Bone Marrow - metabolism</subject><subject>Bone Marrow - pathology</subject><subject>Chromosomes</subject><subject>Development and progression</subject><subject>Disease</subject><subject>Epigenesis, Genetic</subject><subject>Epigenetic inheritance</subject><subject>Epigenetics</subject><subject>Female</subject><subject>Fibronectins</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genetic research</subject><subject>Humans</subject><subject>Liu, Timothy</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>MicroRNA</subject><subject>MicroRNAs</subject><subject>MicroRNAs - genetics</subject><subject>Middle Aged</subject><subject>Multiple myeloma</subject><subject>Multiple Myeloma - diagnosis</subject><subject>Multiple Myeloma - genetics</subject><subject>Multiple Myeloma - metabolism</subject><subject>Multiple Myeloma - pathology</subject><subject>Pathogenesis</subject><subject>Patients</subject><subject>Prognosis</subject><subject>Tumor proteins</subject><subject>Vincristine</subject><issn>1422-0067</issn><issn>1661-6596</issn><issn>1422-0067</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNptkctPwzAMxiMEgvE4ckWVuHDpSGqnD24wjYHYBAc4VyF1ISNtR9MK7b8nE-Mp5ENs5_dZTj7GDgUfAmT81MwrF8kIBSDHDTYQGEUh53Gy-SPfYbvOzTmPIJLZNtuBLIkzEWcDdjPrbWcWloLZkmxTqbNgQjV1RgeqLoLxwjytywvjb9sXal3wZrrnYGRNbbSywV3TUd0ZZffZVqmso4P1ucceLsf3o6tweju5Hp1PQw0CujDDUnIJFCfikcfomxo1USmwiFOFBeii0DItI1SQoiRPZajIPwZJAxewx04-5i7a5rUn1-WVcZqsVTU1vctBSEgT7kmPHv9B503f1n47T2EWY4Iy-aaelKXc1GXTtUqvhubnaSRSQAmxp4b_UD4KqoxuaiqN7_8ShB8C3TbOtVTmi9b4P1zmgucr8_Jf5nn-aL1s_1hR8UV_ugXvxeGSMg</recordid><startdate>20241213</startdate><enddate>20241213</enddate><creator>Veryaskina, Yuliya A</creator><creator>Titov, Sergei E</creator><creator>Skvortsova, Natalia V</creator><creator>Kovynev, Igor B</creator><creator>Antonenko, Oksana V</creator><creator>Demakov, Sergei A</creator><creator>Demenkov, Pavel S</creator><creator>Pospelova, Tatiana I</creator><creator>Ivanov, Mikhail K</creator><creator>Zhimulev, Igor F</creator><general>MDPI AG</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-9433-8341</orcidid><orcidid>https://orcid.org/0000-0001-7503-2435</orcidid><orcidid>https://orcid.org/0000-0001-6938-3802</orcidid><orcidid>https://orcid.org/0000-0001-9401-5737</orcidid><orcidid>https://orcid.org/0000-0002-3799-9407</orcidid></search><sort><creationdate>20241213</creationdate><title>Multiple Myeloma: Genetic and Epigenetic Biomarkers with Clinical Potential</title><author>Veryaskina, Yuliya A ; Titov, Sergei E ; Skvortsova, Natalia V ; Kovynev, Igor B ; Antonenko, Oksana V ; Demakov, Sergei A ; Demenkov, Pavel S ; Pospelova, Tatiana I ; Ivanov, Mikhail K ; Zhimulev, Igor F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c313t-94f5053e671b064c31c4ceef14d68a4d3cddc58f24a3845e1b094ae1424ec3013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>B cells</topic><topic>Bioinformatics</topic><topic>Biological markers</topic><topic>Biomarkers</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Biomarkers, Tumor - metabolism</topic><topic>Bone marrow</topic><topic>Bone Marrow - metabolism</topic><topic>Bone Marrow - pathology</topic><topic>Chromosomes</topic><topic>Development and progression</topic><topic>Disease</topic><topic>Epigenesis, Genetic</topic><topic>Epigenetic inheritance</topic><topic>Epigenetics</topic><topic>Female</topic><topic>Fibronectins</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Genetic research</topic><topic>Humans</topic><topic>Liu, Timothy</topic><topic>Male</topic><topic>Medical prognosis</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>MicroRNA</topic><topic>MicroRNAs</topic><topic>MicroRNAs - genetics</topic><topic>Middle Aged</topic><topic>Multiple myeloma</topic><topic>Multiple Myeloma - diagnosis</topic><topic>Multiple Myeloma - genetics</topic><topic>Multiple Myeloma - metabolism</topic><topic>Multiple Myeloma - pathology</topic><topic>Pathogenesis</topic><topic>Patients</topic><topic>Prognosis</topic><topic>Tumor proteins</topic><topic>Vincristine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Veryaskina, Yuliya A</creatorcontrib><creatorcontrib>Titov, Sergei E</creatorcontrib><creatorcontrib>Skvortsova, Natalia V</creatorcontrib><creatorcontrib>Kovynev, Igor B</creatorcontrib><creatorcontrib>Antonenko, Oksana V</creatorcontrib><creatorcontrib>Demakov, Sergei A</creatorcontrib><creatorcontrib>Demenkov, Pavel S</creatorcontrib><creatorcontrib>Pospelova, Tatiana I</creatorcontrib><creatorcontrib>Ivanov, Mikhail K</creatorcontrib><creatorcontrib>Zhimulev, Igor F</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest - 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Academic</collection><jtitle>International journal of molecular sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Veryaskina, Yuliya A</au><au>Titov, Sergei E</au><au>Skvortsova, Natalia V</au><au>Kovynev, Igor B</au><au>Antonenko, Oksana V</au><au>Demakov, Sergei A</au><au>Demenkov, Pavel S</au><au>Pospelova, Tatiana I</au><au>Ivanov, Mikhail K</au><au>Zhimulev, Igor F</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiple Myeloma: Genetic and Epigenetic Biomarkers with Clinical Potential</atitle><jtitle>International journal of molecular sciences</jtitle><addtitle>Int J Mol Sci</addtitle><date>2024-12-13</date><risdate>2024</risdate><volume>25</volume><issue>24</issue><spage>13404</spage><pages>13404-</pages><issn>1422-0067</issn><issn>1661-6596</issn><eissn>1422-0067</eissn><abstract>Multiple myeloma (MM) is characterized by the uncontrolled proliferation of monoclonal plasma cells and accounts for approximately 10% of all hematologic malignancies. The clinical outcomes of MM can exhibit considerable variability. Variability in both the genetic and epigenetic characteristics of MM undeniably contributes to tumor dynamics. The aim of the present study was to identify biomarkers with the potential to improve the accuracy of prognosis assessment in MM. Initially, miRNA sequencing was conducted on bone marrow (BM) samples from patients with MM. Subsequently, the expression levels of 27 microRNAs (miRNA) and the gene expression levels of ASF1B, CD82B, CRISP3, FN1, MEF2B, PD-L1, PPARγ, TERT, TIMP1, TOP2A, and TP53 were evaluated via real-time reverse transcription polymerase chain reaction in BM samples from patients with MM exhibiting favorable and unfavorable prognoses. Additionally, the analysis involved the bone marrow samples from patients undergoing examinations for non-cancerous blood diseases (NCBD). The findings indicate a statistically significant increase in the expression levels of miRNA-124, -138, -10a, -126, -143, -146b, -20a, -21, -29b, and let-7a and a decrease in the expression level of miRNA-96 in the MM group compared with NCBD (
< 0.05). No statistically significant differences were detected in the expression levels of the selected miRNAs between the unfavorable and favorable prognoses in MM groups. The expression levels of ASF1B, CD82B, and CRISP3 were significantly decreased, while those of FN1, MEF2B, PDL1, PPARγ, and TERT were significantly increased in the MM group compared to the NCBD group (
< 0.05). The MM group with a favorable prognosis demonstrated a statistically significant decline in TIMP1 expression and a significant increase in CD82B and CRISP3 expression compared to the MM group with an unfavorable prognosis (
< 0.05). From an empirical point of view, we have established that the complex biomarker encompassing the CRISP3/TIMP1 expression ratio holds promise as a prognostic marker in MM. From a fundamental point of view, we have demonstrated that the development of MM is rooted in a cascade of complex molecular pathways, demonstrating the interplay of genetic and epigenetic factors.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>39769169</pmid><doi>10.3390/ijms252413404</doi><orcidid>https://orcid.org/0000-0001-9433-8341</orcidid><orcidid>https://orcid.org/0000-0001-7503-2435</orcidid><orcidid>https://orcid.org/0000-0001-6938-3802</orcidid><orcidid>https://orcid.org/0000-0001-9401-5737</orcidid><orcidid>https://orcid.org/0000-0002-3799-9407</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Aged, 80 and over B cells Bioinformatics Biological markers Biomarkers Biomarkers, Tumor - genetics Biomarkers, Tumor - metabolism Bone marrow Bone Marrow - metabolism Bone Marrow - pathology Chromosomes Development and progression Disease Epigenesis, Genetic Epigenetic inheritance Epigenetics Female Fibronectins Gene expression Gene Expression Profiling Gene Expression Regulation, Neoplastic Genes Genetic aspects Genetic research Humans Liu, Timothy Male Medical prognosis Medical research Medicine, Experimental MicroRNA MicroRNAs MicroRNAs - genetics Middle Aged Multiple myeloma Multiple Myeloma - diagnosis Multiple Myeloma - genetics Multiple Myeloma - metabolism Multiple Myeloma - pathology Pathogenesis Patients Prognosis Tumor proteins Vincristine |
title | Multiple Myeloma: Genetic and Epigenetic Biomarkers with Clinical Potential |
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