Single nucleotide polymorphisms of microRNA processing genes and outcome of non-Hodgkin's lymphoma
microRNA (miRNA)-related single nucleotide polymorphisms (miR-SNPs) in miRNA-processing machinery genes can affect cancer risk, treatment efficacy, and patients' prognosis by mediating the expression of targeted genes. Five miR-SNPs in miRNA processing machinery genes, including XPO5 (rs11077),...
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Veröffentlicht in: | OncoTargets and therapy 2015-01, Vol.8, p.1735-1741 |
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description | microRNA (miRNA)-related single nucleotide polymorphisms (miR-SNPs) in miRNA-processing machinery genes can affect cancer risk, treatment efficacy, and patients' prognosis by mediating the expression of targeted genes. Five miR-SNPs in miRNA processing machinery genes, including XPO5 (rs11077), RAN (rs14035), TNRC6B (rs9623117), GEMIN3 (rs197412), and GEMIN4 (rs2740348), in 168 non-Hodgkin's lymphoma (NHL) patients were evaluated for their association with the cancer risk and outcomes associated with NHL.
miR-SNPs were genotyped using polymerase chain reaction-ligase detection reaction. The survival curves were calculated using the Kaplan-Meier method, and comparisons between the curves were made using the log-rank test. Multivariate survival analysis was performed using a Cox proportional hazards model.
Among the five SNPs, only rs197412 located in the coding region of the GEMIN3 gene was identified; it was independently associated with overall survival in NHL patients, as determined by multivariate analysis (relative risk: 1.649; 95% confidence interval: 1.110-2.449; P=0.013). The prognostic value of this miR-SNP in patient outcomes was also observed in the diffuse large B-cell lymphoma and T-cell lymphoma NHL subtypes.
Our results suggested that the specific genetic variants observed in the miRNA machinery genes may affect NHL survival. |
doi_str_mv | 10.2147/OTT.S86338 |
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miR-SNPs were genotyped using polymerase chain reaction-ligase detection reaction. The survival curves were calculated using the Kaplan-Meier method, and comparisons between the curves were made using the log-rank test. Multivariate survival analysis was performed using a Cox proportional hazards model.
Among the five SNPs, only rs197412 located in the coding region of the GEMIN3 gene was identified; it was independently associated with overall survival in NHL patients, as determined by multivariate analysis (relative risk: 1.649; 95% confidence interval: 1.110-2.449; P=0.013). The prognostic value of this miR-SNP in patient outcomes was also observed in the diffuse large B-cell lymphoma and T-cell lymphoma NHL subtypes.
Our results suggested that the specific genetic variants observed in the miRNA machinery genes may affect NHL survival.</description><identifier>ISSN: 1178-6930</identifier><identifier>EISSN: 1178-6930</identifier><identifier>DOI: 10.2147/OTT.S86338</identifier><identifier>PMID: 26203264</identifier><language>eng</language><publisher>New Zealand: Dove Medical Press Limited</publisher><subject>Apoptosis ; Binding sites ; Care and treatment ; Chemotherapy ; Dehydrogenases ; Deoxyribonucleic acid ; DNA ; GEMIN3 ; Gene expression ; Genetic aspects ; Genomics ; Health aspects ; Hematology ; Kidney cancer ; Lymphoma ; Medical prognosis ; Medical research ; MicroRNA ; MicroRNAs ; miR-SNP ; Multivariate analysis ; NHL ; Non-Hodgkin's lymphomas ; Original Research ; Polymerase chain reaction ; Polymorphism ; Prognosis ; rs197412 ; Single nucleotide polymorphisms ; survival ; Survival analysis</subject><ispartof>OncoTargets and therapy, 2015-01, Vol.8, p.1735-1741</ispartof><rights>COPYRIGHT 2015 Dove Medical Press Limited</rights><rights>2015. This work is licensed under https://creativecommons.org/licenses/by-nc/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Gao et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c509t-2b2ae57a2357f4fcfa8ced89359db8390068d741c9e1d0fe44f56fc7df4cb4203</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4508071/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4508071/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,3849,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26203264$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gao, Yuhuan</creatorcontrib><creatorcontrib>Diao, Lanping</creatorcontrib><creatorcontrib>Li, Huan</creatorcontrib><creatorcontrib>Guo, Zhanjun</creatorcontrib><title>Single nucleotide polymorphisms of microRNA processing genes and outcome of non-Hodgkin's lymphoma</title><title>OncoTargets and therapy</title><addtitle>Onco Targets Ther</addtitle><description>microRNA (miRNA)-related single nucleotide polymorphisms (miR-SNPs) in miRNA-processing machinery genes can affect cancer risk, treatment efficacy, and patients' prognosis by mediating the expression of targeted genes. Five miR-SNPs in miRNA processing machinery genes, including XPO5 (rs11077), RAN (rs14035), TNRC6B (rs9623117), GEMIN3 (rs197412), and GEMIN4 (rs2740348), in 168 non-Hodgkin's lymphoma (NHL) patients were evaluated for their association with the cancer risk and outcomes associated with NHL.
miR-SNPs were genotyped using polymerase chain reaction-ligase detection reaction. The survival curves were calculated using the Kaplan-Meier method, and comparisons between the curves were made using the log-rank test. Multivariate survival analysis was performed using a Cox proportional hazards model.
Among the five SNPs, only rs197412 located in the coding region of the GEMIN3 gene was identified; it was independently associated with overall survival in NHL patients, as determined by multivariate analysis (relative risk: 1.649; 95% confidence interval: 1.110-2.449; P=0.013). The prognostic value of this miR-SNP in patient outcomes was also observed in the diffuse large B-cell lymphoma and T-cell lymphoma NHL subtypes.
Our results suggested that the specific genetic variants observed in the miRNA machinery genes may affect NHL survival.</description><subject>Apoptosis</subject><subject>Binding sites</subject><subject>Care and treatment</subject><subject>Chemotherapy</subject><subject>Dehydrogenases</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>GEMIN3</subject><subject>Gene expression</subject><subject>Genetic aspects</subject><subject>Genomics</subject><subject>Health aspects</subject><subject>Hematology</subject><subject>Kidney cancer</subject><subject>Lymphoma</subject><subject>Medical prognosis</subject><subject>Medical research</subject><subject>MicroRNA</subject><subject>MicroRNAs</subject><subject>miR-SNP</subject><subject>Multivariate analysis</subject><subject>NHL</subject><subject>Non-Hodgkin's lymphomas</subject><subject>Original Research</subject><subject>Polymerase chain reaction</subject><subject>Polymorphism</subject><subject>Prognosis</subject><subject>rs197412</subject><subject>Single nucleotide polymorphisms</subject><subject>survival</subject><subject>Survival analysis</subject><issn>1178-6930</issn><issn>1178-6930</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkm9rFDEQxhdRbK2-8QPIgqAi7JnsZv_kjXCUaoViwZ6vQzaZ7KbuZrbJbqHfvjmutncieZEw-T1PZiaTJG8pWeWU1V8uN5vVVVMVRfMsOaa0brKKF-T53vkoeRXCNSFV1eTsZXKUVzkp8oodJ-2Vdd0AqVvUADhbDemEw92IfuptGEOKJh2t8vjr5zqdPCoIISrSDhyEVDqd4jIrHGELOnTZOeruj3UfQxpdph5H-Tp5YeQQ4M3DfpL8_na2OT3PLi6__zhdX2SqJHzO8jaXUNYyL8raMKOMbBTohhcl121T8Jh9o2tGFQeqiQHGTFkZVWvDVMtiPSfJ153vtLQjaAVu9nIQk7ej9HcCpRWHN872osNbwUrSkJpGA7Iz0HgLk4-VHoiforFekcceFlHy6eFNjzcLhFmMNigYBukAlyBoxRte0bIuI_r-H_QaF-9iR6JXzL9inPAnqpMDCOsMxlTV1lSsGat5QWm-zXT1HyouDfGz0IGxMX4g-LAn6EEOcx9wWGaLLhyCn3dg_PIQPJjHFlAittMm4rSJ3bRF-N1-xx_Rv-NV3APeUdBd</recordid><startdate>20150101</startdate><enddate>20150101</enddate><creator>Gao, Yuhuan</creator><creator>Diao, Lanping</creator><creator>Li, Huan</creator><creator>Guo, Zhanjun</creator><general>Dove Medical Press Limited</general><general>Taylor & Francis Ltd</general><general>Dove Press</general><general>Dove Medical Press</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M2O</scope><scope>M7P</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><scope>5PM</scope></search><sort><creationdate>20150101</creationdate><title>Single nucleotide polymorphisms of microRNA processing genes and outcome of non-Hodgkin's lymphoma</title><author>Gao, Yuhuan ; Diao, Lanping ; Li, Huan ; Guo, Zhanjun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c509t-2b2ae57a2357f4fcfa8ced89359db8390068d741c9e1d0fe44f56fc7df4cb4203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Apoptosis</topic><topic>Binding sites</topic><topic>Care and treatment</topic><topic>Chemotherapy</topic><topic>Dehydrogenases</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>GEMIN3</topic><topic>Gene expression</topic><topic>Genetic aspects</topic><topic>Genomics</topic><topic>Health aspects</topic><topic>Hematology</topic><topic>Kidney cancer</topic><topic>Lymphoma</topic><topic>Medical prognosis</topic><topic>Medical research</topic><topic>MicroRNA</topic><topic>MicroRNAs</topic><topic>miR-SNP</topic><topic>Multivariate analysis</topic><topic>NHL</topic><topic>Non-Hodgkin's lymphomas</topic><topic>Original Research</topic><topic>Polymerase chain reaction</topic><topic>Polymorphism</topic><topic>Prognosis</topic><topic>rs197412</topic><topic>Single nucleotide polymorphisms</topic><topic>survival</topic><topic>Survival analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gao, Yuhuan</creatorcontrib><creatorcontrib>Diao, Lanping</creatorcontrib><creatorcontrib>Li, Huan</creatorcontrib><creatorcontrib>Guo, Zhanjun</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>OncoTargets and therapy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gao, Yuhuan</au><au>Diao, Lanping</au><au>Li, Huan</au><au>Guo, Zhanjun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Single nucleotide polymorphisms of microRNA processing genes and outcome of non-Hodgkin's lymphoma</atitle><jtitle>OncoTargets and therapy</jtitle><addtitle>Onco Targets Ther</addtitle><date>2015-01-01</date><risdate>2015</risdate><volume>8</volume><spage>1735</spage><epage>1741</epage><pages>1735-1741</pages><issn>1178-6930</issn><eissn>1178-6930</eissn><abstract>microRNA (miRNA)-related single nucleotide polymorphisms (miR-SNPs) in miRNA-processing machinery genes can affect cancer risk, treatment efficacy, and patients' prognosis by mediating the expression of targeted genes. Five miR-SNPs in miRNA processing machinery genes, including XPO5 (rs11077), RAN (rs14035), TNRC6B (rs9623117), GEMIN3 (rs197412), and GEMIN4 (rs2740348), in 168 non-Hodgkin's lymphoma (NHL) patients were evaluated for their association with the cancer risk and outcomes associated with NHL.
miR-SNPs were genotyped using polymerase chain reaction-ligase detection reaction. The survival curves were calculated using the Kaplan-Meier method, and comparisons between the curves were made using the log-rank test. Multivariate survival analysis was performed using a Cox proportional hazards model.
Among the five SNPs, only rs197412 located in the coding region of the GEMIN3 gene was identified; it was independently associated with overall survival in NHL patients, as determined by multivariate analysis (relative risk: 1.649; 95% confidence interval: 1.110-2.449; P=0.013). The prognostic value of this miR-SNP in patient outcomes was also observed in the diffuse large B-cell lymphoma and T-cell lymphoma NHL subtypes.
Our results suggested that the specific genetic variants observed in the miRNA machinery genes may affect NHL survival.</abstract><cop>New Zealand</cop><pub>Dove Medical Press Limited</pub><pmid>26203264</pmid><doi>10.2147/OTT.S86338</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Apoptosis Binding sites Care and treatment Chemotherapy Dehydrogenases Deoxyribonucleic acid DNA GEMIN3 Gene expression Genetic aspects Genomics Health aspects Hematology Kidney cancer Lymphoma Medical prognosis Medical research MicroRNA MicroRNAs miR-SNP Multivariate analysis NHL Non-Hodgkin's lymphomas Original Research Polymerase chain reaction Polymorphism Prognosis rs197412 Single nucleotide polymorphisms survival Survival analysis |
title | Single nucleotide polymorphisms of microRNA processing genes and outcome of non-Hodgkin's lymphoma |
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