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Gene Expression Analysis in Radiotherapy Patients and C57BL/6 Mice as a Measure of Exposure to Ionizing Radiation
Dose assessment after radiological disasters is imperative to decrease mortality through rationally directed medical intervention. Our goal was to identify biomarkers capable of qualitative (nonirradiated/irradiated) and/or quantitative (dose) assessment of radiation exposure. Using real-time quanti...
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Published in: | Radiation research 2011-07, Vol.176 (1), p.49-61 |
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description | Dose assessment after radiological disasters is imperative to decrease mortality through rationally directed medical intervention. Our goal was to identify biomarkers capable of qualitative (nonirradiated/irradiated) and/or quantitative (dose) assessment of radiation exposure. Using real-time quantitative PCR, biodosimetry genes were identified in blood samples from cancer patients undergoing total-body irradiation. Time- (5, 12, 23, 48 h) and dose- (0–8 Gy) dependent changes in gene expression were examined in C57BL/6 mice. A training set was used to derive weighted voting classification algorithms (nonirradiated/irradiated) and continuous regression (dose assessment) models that were tested in a separate validation set of mice. Of eight biodosimetry genes identified in cancer patients (ACTA2, BBC3, CCNG1, CDKN1A, GADD45A, MDK, SERPINE1, Tnfrsf10b), expression of BBC3, CCNG1, CDKN1A, SERPINE1 and Tnfrsf10b was significantly (P < 0.05) increased in irradiated mice. CCNG1 and CDKN1A expression segregated irradiated mice from controls with an accuracy, specificity and sensitivity of 96.3, 100.0 and 94.4%, respectively, at 48 h. Multiple linear regression analysis predicted doses for the 0-, 1-, 2-, 4-, 6- and 8-Gy treatment groups as 0.0 ± 0.2, 1.6 ± 1.0, 2.9 ± 1.4, 5.1 ± 2.0, 5.3 ± 0.7 and 10.5 ± 5.6 Gy, respectively. These results suggest that gene expression analysis could be incorporated into biodosimetry protocols for qualitative and quantitative assessment of radiation exposure. |
doi_str_mv | 10.1667/RR2419.1 |
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Our goal was to identify biomarkers capable of qualitative (nonirradiated/irradiated) and/or quantitative (dose) assessment of radiation exposure. Using real-time quantitative PCR, biodosimetry genes were identified in blood samples from cancer patients undergoing total-body irradiation. Time- (5, 12, 23, 48 h) and dose- (0–8 Gy) dependent changes in gene expression were examined in C57BL/6 mice. A training set was used to derive weighted voting classification algorithms (nonirradiated/irradiated) and continuous regression (dose assessment) models that were tested in a separate validation set of mice. Of eight biodosimetry genes identified in cancer patients (ACTA2, BBC3, CCNG1, CDKN1A, GADD45A, MDK, SERPINE1, Tnfrsf10b), expression of BBC3, CCNG1, CDKN1A, SERPINE1 and Tnfrsf10b was significantly (P < 0.05) increased in irradiated mice. CCNG1 and CDKN1A expression segregated irradiated mice from controls with an accuracy, specificity and sensitivity of 96.3, 100.0 and 94.4%, respectively, at 48 h. Multiple linear regression analysis predicted doses for the 0-, 1-, 2-, 4-, 6- and 8-Gy treatment groups as 0.0 ± 0.2, 1.6 ± 1.0, 2.9 ± 1.4, 5.1 ± 2.0, 5.3 ± 0.7 and 10.5 ± 5.6 Gy, respectively. 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Our goal was to identify biomarkers capable of qualitative (nonirradiated/irradiated) and/or quantitative (dose) assessment of radiation exposure. Using real-time quantitative PCR, biodosimetry genes were identified in blood samples from cancer patients undergoing total-body irradiation. Time- (5, 12, 23, 48 h) and dose- (0–8 Gy) dependent changes in gene expression were examined in C57BL/6 mice. A training set was used to derive weighted voting classification algorithms (nonirradiated/irradiated) and continuous regression (dose assessment) models that were tested in a separate validation set of mice. Of eight biodosimetry genes identified in cancer patients (ACTA2, BBC3, CCNG1, CDKN1A, GADD45A, MDK, SERPINE1, Tnfrsf10b), expression of BBC3, CCNG1, CDKN1A, SERPINE1 and Tnfrsf10b was significantly (P < 0.05) increased in irradiated mice. CCNG1 and CDKN1A expression segregated irradiated mice from controls with an accuracy, specificity and sensitivity of 96.3, 100.0 and 94.4%, respectively, at 48 h. Multiple linear regression analysis predicted doses for the 0-, 1-, 2-, 4-, 6- and 8-Gy treatment groups as 0.0 ± 0.2, 1.6 ± 1.0, 2.9 ± 1.4, 5.1 ± 2.0, 5.3 ± 0.7 and 10.5 ± 5.6 Gy, respectively. These results suggest that gene expression analysis could be incorporated into biodosimetry protocols for qualitative and quantitative assessment of radiation exposure.</description><subject>Adolescent</subject><subject>Algorithms</subject><subject>Animals</subject><subject>Blood</subject><subject>Dose-Response Relationship, Radiation</subject><subject>Female</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation - radiation effects</subject><subject>Genes</subject><subject>Humans</subject><subject>Ionizing radiation</subject><subject>Irradiation</subject><subject>Linear Models</subject><subject>Linear regression</subject><subject>Male</subject><subject>Mice</subject><subject>Mice, Inbred C57BL</subject><subject>Modeling</subject><subject>Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics</subject><subject>Precursor Cell Lymphoblastic Leukemia-Lymphoma - radiotherapy</subject><subject>Radiation dosage</subject><subject>Radiation Injuries, Experimental - genetics</subject><subject>Radiation, Ionizing</subject><subject>Radiometry - methods</subject><subject>Radiotherapy</subject><subject>REGULAR ARTICLES</subject><subject>Time Factors</subject><subject>Volunteerism</subject><subject>Whole-Body Irradiation - adverse effects</subject><subject>Young Adult</subject><issn>0033-7587</issn><issn>1938-5404</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNp1kE9PAjEQxRujEUQTv4CmJ-Nlod3dttsjEkQSiIboedPuzmoJtNguifjpXVj_nLzMTOf98iZ9CF1S0qeci8FiEadU9ukR6lKZZBFLSXqMuoQkSSRYJjroLIQlad6Uy1PUiWnCqchIF71PwAIef2w8hGCcxUOrVrtgAjYWL1RpXP0GXm12-EnVBmwdsLIlHjFxNxtwPDcFYNXs8BxU2HrArtq7ucNcOzx11nwa-3rwahycPUcnlVoFuPjuPfRyP34ePUSzx8l0NJxFOiW0jkQcpykBXRCQTaGMM0Z5ISWrmKaccp1UUGS6EoXMSsGZSpsPaQlCaAWaJj102_oW3oXgoco33qyV3-WU5PvU8ja1fI9et-hmq9dQ_oI_MTXAVQssQ-38n86yhDHOG_2m1bVxzsL_l74Ahq58wQ</recordid><startdate>20110701</startdate><enddate>20110701</enddate><creator>Filiano, Ashley N.</creator><creator>Fathallah-Shaykh, Hassan M.</creator><creator>Fiveash, John</creator><creator>Gage, Jarrod</creator><creator>Cantor, Alan</creator><creator>Kharbanda, Sandhya</creator><creator>Johnson, Martin R.</creator><general>The Radiation Research Society</general><general>Radiation Research Society</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></search><sort><creationdate>20110701</creationdate><title>Gene Expression Analysis in Radiotherapy Patients and C57BL/6 Mice as a Measure of Exposure to Ionizing Radiation</title><author>Filiano, Ashley N. ; Fathallah-Shaykh, Hassan M. ; Fiveash, John ; Gage, Jarrod ; Cantor, Alan ; Kharbanda, Sandhya ; Johnson, Martin R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b401t-722440ebc0e9bc01565516c995f5b1616b3fec8bf7c98d765a4780b9e77baeb13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adolescent</topic><topic>Algorithms</topic><topic>Animals</topic><topic>Blood</topic><topic>Dose-Response Relationship, Radiation</topic><topic>Female</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation - radiation effects</topic><topic>Genes</topic><topic>Humans</topic><topic>Ionizing radiation</topic><topic>Irradiation</topic><topic>Linear Models</topic><topic>Linear regression</topic><topic>Male</topic><topic>Mice</topic><topic>Mice, Inbred C57BL</topic><topic>Modeling</topic><topic>Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics</topic><topic>Precursor Cell Lymphoblastic Leukemia-Lymphoma - radiotherapy</topic><topic>Radiation dosage</topic><topic>Radiation Injuries, Experimental - genetics</topic><topic>Radiation, Ionizing</topic><topic>Radiometry - methods</topic><topic>Radiotherapy</topic><topic>REGULAR ARTICLES</topic><topic>Time Factors</topic><topic>Volunteerism</topic><topic>Whole-Body Irradiation - adverse effects</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Filiano, Ashley N.</creatorcontrib><creatorcontrib>Fathallah-Shaykh, Hassan M.</creatorcontrib><creatorcontrib>Fiveash, John</creatorcontrib><creatorcontrib>Gage, Jarrod</creatorcontrib><creatorcontrib>Cantor, Alan</creatorcontrib><creatorcontrib>Kharbanda, Sandhya</creatorcontrib><creatorcontrib>Johnson, Martin R.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><jtitle>Radiation research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Filiano, Ashley N.</au><au>Fathallah-Shaykh, Hassan M.</au><au>Fiveash, John</au><au>Gage, Jarrod</au><au>Cantor, Alan</au><au>Kharbanda, Sandhya</au><au>Johnson, Martin R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gene Expression Analysis in Radiotherapy Patients and C57BL/6 Mice as a Measure of Exposure to Ionizing Radiation</atitle><jtitle>Radiation research</jtitle><addtitle>Radiat Res</addtitle><date>2011-07-01</date><risdate>2011</risdate><volume>176</volume><issue>1</issue><spage>49</spage><epage>61</epage><pages>49-61</pages><issn>0033-7587</issn><eissn>1938-5404</eissn><abstract>Dose assessment after radiological disasters is imperative to decrease mortality through rationally directed medical intervention. Our goal was to identify biomarkers capable of qualitative (nonirradiated/irradiated) and/or quantitative (dose) assessment of radiation exposure. Using real-time quantitative PCR, biodosimetry genes were identified in blood samples from cancer patients undergoing total-body irradiation. Time- (5, 12, 23, 48 h) and dose- (0–8 Gy) dependent changes in gene expression were examined in C57BL/6 mice. A training set was used to derive weighted voting classification algorithms (nonirradiated/irradiated) and continuous regression (dose assessment) models that were tested in a separate validation set of mice. Of eight biodosimetry genes identified in cancer patients (ACTA2, BBC3, CCNG1, CDKN1A, GADD45A, MDK, SERPINE1, Tnfrsf10b), expression of BBC3, CCNG1, CDKN1A, SERPINE1 and Tnfrsf10b was significantly (P < 0.05) increased in irradiated mice. CCNG1 and CDKN1A expression segregated irradiated mice from controls with an accuracy, specificity and sensitivity of 96.3, 100.0 and 94.4%, respectively, at 48 h. Multiple linear regression analysis predicted doses for the 0-, 1-, 2-, 4-, 6- and 8-Gy treatment groups as 0.0 ± 0.2, 1.6 ± 1.0, 2.9 ± 1.4, 5.1 ± 2.0, 5.3 ± 0.7 and 10.5 ± 5.6 Gy, respectively. These results suggest that gene expression analysis could be incorporated into biodosimetry protocols for qualitative and quantitative assessment of radiation exposure.</abstract><cop>United States</cop><pub>The Radiation Research Society</pub><pmid>21361780</pmid><doi>10.1667/RR2419.1</doi><tpages>13</tpages></addata></record> |
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subjects | Adolescent Algorithms Animals Blood Dose-Response Relationship, Radiation Female Gene expression Gene Expression Profiling Gene Expression Regulation - radiation effects Genes Humans Ionizing radiation Irradiation Linear Models Linear regression Male Mice Mice, Inbred C57BL Modeling Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics Precursor Cell Lymphoblastic Leukemia-Lymphoma - radiotherapy Radiation dosage Radiation Injuries, Experimental - genetics Radiation, Ionizing Radiometry - methods Radiotherapy REGULAR ARTICLES Time Factors Volunteerism Whole-Body Irradiation - adverse effects Young Adult |
title | Gene Expression Analysis in Radiotherapy Patients and C57BL/6 Mice as a Measure of Exposure to Ionizing Radiation |
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