Association of leukocyte mitochondrial DNA content with glioma risk: evidence from a Chinese case-control study
Increasing evidence suggests that alterations in mitochondrial DNA (mtDNA) content may be implicated in the tumorigenesis of several malignancies. However, the association between mtDNA content in peripheral blood lymphocytes (PBLs) and glioma risk has not been investigated. Real-time PCR was used t...
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description | Increasing evidence suggests that alterations in mitochondrial DNA (mtDNA) content may be implicated in the tumorigenesis of several malignancies. However, the association between mtDNA content in peripheral blood lymphocytes (PBLs) and glioma risk has not been investigated.
Real-time PCR was used to examine the mtDNA content in PBLs of 414 glioma patients and 414 matched controls in a hospital-based case-control study. The association between mtDNA content and glioma risk was evaluated using an unconditional multivariate logistic regression model.
We found that glioma patients exhibited a significantly higher median mtDNA content than healthy controls (0.99 vs. 0.71, P < 0.001). Unconditional multivariate logistic regression analysis adjusting for age, gender, smoking status, and family cancer history showed that there was an S-shaped association between mtDNA content and glioma risk. Higher mtDNA content was significantly associated with an elevated risk of glioma. Compared with the first quartile, the odds ratio (95% confidence interval) for subjects in the second, third, and fourth quartiles of mtDNA content were 0.90 (0.52-1.53), 3.38 (2.15-5.31), and 5.81 (3.74-9.03), respectively (P for nonlinearity = 0.009). Stratified analysis showed that the association between mtDNA content and glioma risk was not modulated by major host characteristics.
Our findings demonstrate for the first time that a higher mtDNA content in PBLs is associated with an elevated risk of glioma, which warrants further investigation in larger populations. |
doi_str_mv | 10.1186/1471-2407-14-680 |
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Real-time PCR was used to examine the mtDNA content in PBLs of 414 glioma patients and 414 matched controls in a hospital-based case-control study. The association between mtDNA content and glioma risk was evaluated using an unconditional multivariate logistic regression model.
We found that glioma patients exhibited a significantly higher median mtDNA content than healthy controls (0.99 vs. 0.71, P < 0.001). Unconditional multivariate logistic regression analysis adjusting for age, gender, smoking status, and family cancer history showed that there was an S-shaped association between mtDNA content and glioma risk. Higher mtDNA content was significantly associated with an elevated risk of glioma. Compared with the first quartile, the odds ratio (95% confidence interval) for subjects in the second, third, and fourth quartiles of mtDNA content were 0.90 (0.52-1.53), 3.38 (2.15-5.31), and 5.81 (3.74-9.03), respectively (P for nonlinearity = 0.009). Stratified analysis showed that the association between mtDNA content and glioma risk was not modulated by major host characteristics.
Our findings demonstrate for the first time that a higher mtDNA content in PBLs is associated with an elevated risk of glioma, which warrants further investigation in larger populations.</description><identifier>ISSN: 1471-2407</identifier><identifier>EISSN: 1471-2407</identifier><identifier>DOI: 10.1186/1471-2407-14-680</identifier><identifier>PMID: 25234800</identifier><language>eng</language><publisher>England: BioMed Central</publisher><subject>Adult ; Age ; Asian Continental Ancestry Group - genetics ; Biomarkers, Tumor - genetics ; Brain research ; Breast cancer ; Case-Control Studies ; China ; Cigarettes ; Deoxyribonucleic acid ; DNA ; DNA Copy Number Variations ; DNA, Mitochondrial - blood ; DNA, Mitochondrial - genetics ; Drug therapy ; Epidemiology ; Family medical history ; Female ; Free radicals ; Glioma - blood ; Glioma - genetics ; Hospitals ; Humans ; Laboratories ; Leukocytes - metabolism ; Logistic Models ; Male ; Middle Aged ; Mitochondrial DNA ; Multivariate Analysis ; Neurosurgery ; Population ; Real-Time Polymerase Chain Reaction ; Risk assessment ; Risk Factors ; Smoking ; Studies</subject><ispartof>BMC cancer, 2014-09, Vol.14 (1), p.680-680, Article 680</ispartof><rights>2014 Zhang et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.</rights><rights>Zhang et al.; licensee BioMed Central Ltd. 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c457t-85054911e94b54e2ca5c1952a259c664611345c4c7b525e405479cf0ccf4c9e23</citedby><cites>FETCH-LOGICAL-c457t-85054911e94b54e2ca5c1952a259c664611345c4c7b525e405479cf0ccf4c9e23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4177174/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4177174/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25234800$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Jie</creatorcontrib><creatorcontrib>Li, Deyang</creatorcontrib><creatorcontrib>Qu, Falin</creatorcontrib><creatorcontrib>Chen, Yibing</creatorcontrib><creatorcontrib>Li, Gang</creatorcontrib><creatorcontrib>Jiang, Hequn</creatorcontrib><creatorcontrib>Huang, Xiaojun</creatorcontrib><creatorcontrib>Yang, Hushan</creatorcontrib><creatorcontrib>Xing, Jinliang</creatorcontrib><title>Association of leukocyte mitochondrial DNA content with glioma risk: evidence from a Chinese case-control study</title><title>BMC cancer</title><addtitle>BMC Cancer</addtitle><description>Increasing evidence suggests that alterations in mitochondrial DNA (mtDNA) content may be implicated in the tumorigenesis of several malignancies. However, the association between mtDNA content in peripheral blood lymphocytes (PBLs) and glioma risk has not been investigated.
Real-time PCR was used to examine the mtDNA content in PBLs of 414 glioma patients and 414 matched controls in a hospital-based case-control study. The association between mtDNA content and glioma risk was evaluated using an unconditional multivariate logistic regression model.
We found that glioma patients exhibited a significantly higher median mtDNA content than healthy controls (0.99 vs. 0.71, P < 0.001). Unconditional multivariate logistic regression analysis adjusting for age, gender, smoking status, and family cancer history showed that there was an S-shaped association between mtDNA content and glioma risk. Higher mtDNA content was significantly associated with an elevated risk of glioma. Compared with the first quartile, the odds ratio (95% confidence interval) for subjects in the second, third, and fourth quartiles of mtDNA content were 0.90 (0.52-1.53), 3.38 (2.15-5.31), and 5.81 (3.74-9.03), respectively (P for nonlinearity = 0.009). Stratified analysis showed that the association between mtDNA content and glioma risk was not modulated by major host characteristics.
Our findings demonstrate for the first time that a higher mtDNA content in PBLs is associated with an elevated risk of glioma, which warrants further investigation in larger populations.</description><subject>Adult</subject><subject>Age</subject><subject>Asian Continental Ancestry Group - genetics</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Brain research</subject><subject>Breast cancer</subject><subject>Case-Control Studies</subject><subject>China</subject><subject>Cigarettes</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>DNA Copy Number Variations</subject><subject>DNA, Mitochondrial - blood</subject><subject>DNA, Mitochondrial - genetics</subject><subject>Drug therapy</subject><subject>Epidemiology</subject><subject>Family medical history</subject><subject>Female</subject><subject>Free radicals</subject><subject>Glioma - blood</subject><subject>Glioma - genetics</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Laboratories</subject><subject>Leukocytes - metabolism</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mitochondrial DNA</subject><subject>Multivariate Analysis</subject><subject>Neurosurgery</subject><subject>Population</subject><subject>Real-Time Polymerase Chain Reaction</subject><subject>Risk assessment</subject><subject>Risk Factors</subject><subject>Smoking</subject><subject>Studies</subject><issn>1471-2407</issn><issn>1471-2407</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNkcFPHCEUh0lTU63tvaeGpJdeRoGBYcaDyWZrq4lpL-2ZsG_fuOgMKDA2-9_LRLtRTz3xAt_v8eAj5BNnR5y3zTGXmldCMl1xWTUte0MOdltvn9X75H1K14xx3bL2HdkXStSyZeyAhEVKAZzNLngaejrgdBNgm5GOLgfYBL-Ozg70288FheAz-kz_uryhV4MLo6XRpZsTivdujR6Q9jGM1NLlxnlMSMEmrOZYDANNeVpvP5C93g4JPz6th-TP97Pfy_Pq8tePi-XisgKpdK5axZTsOMdOrpREAVYB75SwQnXQNLLhvJYKJOiVEgploXUHPQPoJXQo6kNy-tj3dlqNuIYyd7SDuY1utHFrgnXm5Yl3G3MV7o3kWnMtS4OvTw1iuJswZTO6BDgM1mOYkuGqadpatar-H1QpVmvBC_rlFXodpujLT8yULFaEnO9mjxTEkFLEfjc3Z2YWb2azZjZbKlPEl8jn5-_dBf6Zrh8AE16omA</recordid><startdate>20140919</startdate><enddate>20140919</enddate><creator>Zhang, Jie</creator><creator>Li, Deyang</creator><creator>Qu, Falin</creator><creator>Chen, Yibing</creator><creator>Li, Gang</creator><creator>Jiang, Hequn</creator><creator>Huang, Xiaojun</creator><creator>Yang, Hushan</creator><creator>Xing, Jinliang</creator><general>BioMed Central</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>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</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>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>7TM</scope><scope>5PM</scope></search><sort><creationdate>20140919</creationdate><title>Association of leukocyte mitochondrial DNA content with glioma risk: evidence from a Chinese case-control study</title><author>Zhang, Jie ; 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However, the association between mtDNA content in peripheral blood lymphocytes (PBLs) and glioma risk has not been investigated.
Real-time PCR was used to examine the mtDNA content in PBLs of 414 glioma patients and 414 matched controls in a hospital-based case-control study. The association between mtDNA content and glioma risk was evaluated using an unconditional multivariate logistic regression model.
We found that glioma patients exhibited a significantly higher median mtDNA content than healthy controls (0.99 vs. 0.71, P < 0.001). Unconditional multivariate logistic regression analysis adjusting for age, gender, smoking status, and family cancer history showed that there was an S-shaped association between mtDNA content and glioma risk. Higher mtDNA content was significantly associated with an elevated risk of glioma. Compared with the first quartile, the odds ratio (95% confidence interval) for subjects in the second, third, and fourth quartiles of mtDNA content were 0.90 (0.52-1.53), 3.38 (2.15-5.31), and 5.81 (3.74-9.03), respectively (P for nonlinearity = 0.009). Stratified analysis showed that the association between mtDNA content and glioma risk was not modulated by major host characteristics.
Our findings demonstrate for the first time that a higher mtDNA content in PBLs is associated with an elevated risk of glioma, which warrants further investigation in larger populations.</abstract><cop>England</cop><pub>BioMed Central</pub><pmid>25234800</pmid><doi>10.1186/1471-2407-14-680</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Age Asian Continental Ancestry Group - genetics Biomarkers, Tumor - genetics Brain research Breast cancer Case-Control Studies China Cigarettes Deoxyribonucleic acid DNA DNA Copy Number Variations DNA, Mitochondrial - blood DNA, Mitochondrial - genetics Drug therapy Epidemiology Family medical history Female Free radicals Glioma - blood Glioma - genetics Hospitals Humans Laboratories Leukocytes - metabolism Logistic Models Male Middle Aged Mitochondrial DNA Multivariate Analysis Neurosurgery Population Real-Time Polymerase Chain Reaction Risk assessment Risk Factors Smoking Studies |
title | Association of leukocyte mitochondrial DNA content with glioma risk: evidence from a Chinese case-control study |
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