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SNPs in PTGS2 and LTA predict pain and quality of life in long term lung cancer survivors
Abstract Purpose Lung cancer survivors report the lowest quality of life relative to other cancer survivors. Pain is one of the most devastating, persistent, and incapacitating symptoms for lung cancer survivors. Prevalence rates vary with 80–100% of survivors experiencing cancer pain and healthcare...
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Published in: | Lung cancer (Amsterdam, Netherlands) Netherlands), 2012-07, Vol.77 (1), p.217-223 |
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description | Abstract Purpose Lung cancer survivors report the lowest quality of life relative to other cancer survivors. Pain is one of the most devastating, persistent, and incapacitating symptoms for lung cancer survivors. Prevalence rates vary with 80–100% of survivors experiencing cancer pain and healthcare costs are five times higher in cancer survivors with uncontrolled pain. Cancer pain often has a considerable impact on quality of life among cancer patients and cancer survivors. Therefore, early identification, and treatment is important. Although recent studies have suggested a relationship between single nucleotide polymorphisms (SNPs) in several cytokine and inflammation genes with cancer prognosis, associations with cancer pain are not clear. Therefore, the primary aim of this study was to identify SNPs related to pain in lung cancer survivors. Patients and methods Participants were enrolled in the Mayo Clinic Lung Cancer Cohort upon diagnosis of their lung cancer. 1149 Caucasian lung cancer survivors (440 surviving 5 years) completed study questionnaires and had blood DNA samples available. Ten SNPS from PTGS2 and LTA genes were selected based on the serum-based studies in the literature. Outcomes included pain, and quality of life as measured by the SF-8. Results Of the 10 SNPs evaluated in LTA and PTGS2 genes, 3 were associated with pain severity (rs5277; rs1799964), social function (rs5277) and mental health (rs5275). These results suggested both specificity and consistency of these inflammatory gene SNPs in predicting pain severity in lung cancer survivors. Conclusion These results provide support for genetic predisposition to pain severity and may aid in identification of lung cancer survivors at high risk for morbidity and poor QOL. |
doi_str_mv | 10.1016/j.lungcan.2012.02.017 |
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Pain is one of the most devastating, persistent, and incapacitating symptoms for lung cancer survivors. Prevalence rates vary with 80–100% of survivors experiencing cancer pain and healthcare costs are five times higher in cancer survivors with uncontrolled pain. Cancer pain often has a considerable impact on quality of life among cancer patients and cancer survivors. Therefore, early identification, and treatment is important. Although recent studies have suggested a relationship between single nucleotide polymorphisms (SNPs) in several cytokine and inflammation genes with cancer prognosis, associations with cancer pain are not clear. Therefore, the primary aim of this study was to identify SNPs related to pain in lung cancer survivors. Patients and methods Participants were enrolled in the Mayo Clinic Lung Cancer Cohort upon diagnosis of their lung cancer. 1149 Caucasian lung cancer survivors (440 surviving <3 years; 354 surviving 3–5 years; and 355 surviving >5 years) completed study questionnaires and had blood DNA samples available. Ten SNPS from PTGS2 and LTA genes were selected based on the serum-based studies in the literature. Outcomes included pain, and quality of life as measured by the SF-8. Results Of the 10 SNPs evaluated in LTA and PTGS2 genes, 3 were associated with pain severity (rs5277; rs1799964), social function (rs5277) and mental health (rs5275). These results suggested both specificity and consistency of these inflammatory gene SNPs in predicting pain severity in lung cancer survivors. Conclusion These results provide support for genetic predisposition to pain severity and may aid in identification of lung cancer survivors at high risk for morbidity and poor QOL.</description><identifier>ISSN: 0169-5002</identifier><identifier>EISSN: 1872-8332</identifier><identifier>DOI: 10.1016/j.lungcan.2012.02.017</identifier><identifier>PMID: 22464751</identifier><identifier>CODEN: LUCAE5</identifier><language>eng</language><publisher>Oxford: Elsevier Ireland Ltd</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Biological and medical sciences ; Cyclooxygenase 2 - genetics ; Cytokines ; Female ; Gene Frequency ; Genetic Association Studies ; Genetics ; Hematology, Oncology and Palliative Medicine ; Humans ; Linear Models ; Linkage Disequilibrium ; Logistic Models ; LTA ; Lung cancer ; Lung Neoplasms - genetics ; Lung Neoplasms - physiopathology ; Lung Neoplasms - psychology ; Lymphotoxin-alpha - genetics ; Male ; Medical sciences ; Middle Aged ; Multivariate Analysis ; Pain ; Pain - genetics ; Pneumology ; Polymorphism, Single Nucleotide ; PTGS2 ; Pulmonary/Respiratory ; Quality of Life ; Sequence Analysis, DNA ; SNPs ; Survivors ; Tumors ; Tumors of the respiratory system and mediastinum</subject><ispartof>Lung cancer (Amsterdam, Netherlands), 2012-07, Vol.77 (1), p.217-223</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2012 Elsevier Ireland Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.</rights><rights>2012 Elsevier Ireland Ltd. All rights reserved. 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c552t-1db3bd4a8c21d1407f80b68488c113dc03b9aa4598a092ace6998099c5069d733</citedby><cites>FETCH-LOGICAL-c552t-1db3bd4a8c21d1407f80b68488c113dc03b9aa4598a092ace6998099c5069d733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26011632$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22464751$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rausch, Sarah M</creatorcontrib><creatorcontrib>Gonzalez, Brian D</creatorcontrib><creatorcontrib>Clark, Matthew M</creatorcontrib><creatorcontrib>Patten, Christi</creatorcontrib><creatorcontrib>Felten, Sara</creatorcontrib><creatorcontrib>Liu, Heshan</creatorcontrib><creatorcontrib>Li, Yafei</creatorcontrib><creatorcontrib>Sloan, Jeff</creatorcontrib><creatorcontrib>Yang, Ping</creatorcontrib><title>SNPs in PTGS2 and LTA predict pain and quality of life in long term lung cancer survivors</title><title>Lung cancer (Amsterdam, Netherlands)</title><addtitle>Lung Cancer</addtitle><description>Abstract Purpose Lung cancer survivors report the lowest quality of life relative to other cancer survivors. Pain is one of the most devastating, persistent, and incapacitating symptoms for lung cancer survivors. Prevalence rates vary with 80–100% of survivors experiencing cancer pain and healthcare costs are five times higher in cancer survivors with uncontrolled pain. Cancer pain often has a considerable impact on quality of life among cancer patients and cancer survivors. Therefore, early identification, and treatment is important. Although recent studies have suggested a relationship between single nucleotide polymorphisms (SNPs) in several cytokine and inflammation genes with cancer prognosis, associations with cancer pain are not clear. Therefore, the primary aim of this study was to identify SNPs related to pain in lung cancer survivors. Patients and methods Participants were enrolled in the Mayo Clinic Lung Cancer Cohort upon diagnosis of their lung cancer. 1149 Caucasian lung cancer survivors (440 surviving <3 years; 354 surviving 3–5 years; and 355 surviving >5 years) completed study questionnaires and had blood DNA samples available. Ten SNPS from PTGS2 and LTA genes were selected based on the serum-based studies in the literature. Outcomes included pain, and quality of life as measured by the SF-8. Results Of the 10 SNPs evaluated in LTA and PTGS2 genes, 3 were associated with pain severity (rs5277; rs1799964), social function (rs5277) and mental health (rs5275). These results suggested both specificity and consistency of these inflammatory gene SNPs in predicting pain severity in lung cancer survivors. Conclusion These results provide support for genetic predisposition to pain severity and may aid in identification of lung cancer survivors at high risk for morbidity and poor QOL.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biological and medical sciences</subject><subject>Cyclooxygenase 2 - genetics</subject><subject>Cytokines</subject><subject>Female</subject><subject>Gene Frequency</subject><subject>Genetic Association Studies</subject><subject>Genetics</subject><subject>Hematology, Oncology and Palliative Medicine</subject><subject>Humans</subject><subject>Linear Models</subject><subject>Linkage Disequilibrium</subject><subject>Logistic Models</subject><subject>LTA</subject><subject>Lung cancer</subject><subject>Lung Neoplasms - genetics</subject><subject>Lung Neoplasms - physiopathology</subject><subject>Lung Neoplasms - psychology</subject><subject>Lymphotoxin-alpha - genetics</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Pain</subject><subject>Pain - genetics</subject><subject>Pneumology</subject><subject>Polymorphism, Single Nucleotide</subject><subject>PTGS2</subject><subject>Pulmonary/Respiratory</subject><subject>Quality of Life</subject><subject>Sequence Analysis, DNA</subject><subject>SNPs</subject><subject>Survivors</subject><subject>Tumors</subject><subject>Tumors of the respiratory system and mediastinum</subject><issn>0169-5002</issn><issn>1872-8332</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqFkl2LUzEQhoMobl39CUpuBG9Oncn5Sm5WlkVXoehC64VXIU1yamp60k3OKfTfm0Pr-nEjDAQyzzszvDOEvESYI2Dzdjv3Y7_Rqp8zQDaHHNg-IjPkLSt4WbLHZJY5UdQA7II8S2kLmUAQT8kFY1VTtTXOyLfl57tEXU_vVrdLRlVv6GJ1TffRGqcHulc5NX3ej8q74UhDR73r7KTwod_QwcYdnSaheRRtI01jPLhDiOk5edIpn-yL83tJvn54v7r5WCy-3H66uV4Uuq7ZUKBZl2tTKa4ZGqyg7TisG15xrhFLo6FcC6WqWnAFgiltGyE4CKFraIRpy_KSXJ3q7sf1zhpt-yEqL_fR7VQ8yqCc_DvTu-9yEw6yKnM7AbnAm3OBGO5Hmwa5c0lb71Vvw5hktpvzhnHkGa1PqI4hpWi7hzYIE9fIrTyvRU5rkZAD26x79eeMD6pfe8jA6zOgkla-i9lMl35zDSA2JcvcuxNns6MHZ6NM2tlsvHHR6kGa4P47ytU_FbR3vctNf9ijTdswxj6vS6JMWSCX0w1NJ4QMANrs908QGsHS</recordid><startdate>20120701</startdate><enddate>20120701</enddate><creator>Rausch, Sarah M</creator><creator>Gonzalez, Brian D</creator><creator>Clark, Matthew M</creator><creator>Patten, Christi</creator><creator>Felten, Sara</creator><creator>Liu, Heshan</creator><creator>Li, Yafei</creator><creator>Sloan, Jeff</creator><creator>Yang, Ping</creator><general>Elsevier Ireland Ltd</general><general>Elsevier</general><scope>IQODW</scope><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>7X8</scope><scope>5PM</scope></search><sort><creationdate>20120701</creationdate><title>SNPs in PTGS2 and LTA predict pain and quality of life in long term lung cancer survivors</title><author>Rausch, Sarah M ; Gonzalez, Brian D ; Clark, Matthew M ; Patten, Christi ; Felten, Sara ; Liu, Heshan ; Li, Yafei ; Sloan, Jeff ; Yang, Ping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c552t-1db3bd4a8c21d1407f80b68488c113dc03b9aa4598a092ace6998099c5069d733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biological and medical sciences</topic><topic>Cyclooxygenase 2 - genetics</topic><topic>Cytokines</topic><topic>Female</topic><topic>Gene Frequency</topic><topic>Genetic Association Studies</topic><topic>Genetics</topic><topic>Hematology, Oncology and Palliative Medicine</topic><topic>Humans</topic><topic>Linear Models</topic><topic>Linkage Disequilibrium</topic><topic>Logistic Models</topic><topic>LTA</topic><topic>Lung cancer</topic><topic>Lung Neoplasms - genetics</topic><topic>Lung Neoplasms - physiopathology</topic><topic>Lung Neoplasms - psychology</topic><topic>Lymphotoxin-alpha - genetics</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Pain</topic><topic>Pain - genetics</topic><topic>Pneumology</topic><topic>Polymorphism, Single Nucleotide</topic><topic>PTGS2</topic><topic>Pulmonary/Respiratory</topic><topic>Quality of Life</topic><topic>Sequence Analysis, DNA</topic><topic>SNPs</topic><topic>Survivors</topic><topic>Tumors</topic><topic>Tumors of the respiratory system and mediastinum</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rausch, Sarah M</creatorcontrib><creatorcontrib>Gonzalez, Brian D</creatorcontrib><creatorcontrib>Clark, Matthew M</creatorcontrib><creatorcontrib>Patten, Christi</creatorcontrib><creatorcontrib>Felten, Sara</creatorcontrib><creatorcontrib>Liu, Heshan</creatorcontrib><creatorcontrib>Li, Yafei</creatorcontrib><creatorcontrib>Sloan, Jeff</creatorcontrib><creatorcontrib>Yang, Ping</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Lung cancer (Amsterdam, Netherlands)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rausch, Sarah M</au><au>Gonzalez, Brian D</au><au>Clark, Matthew M</au><au>Patten, Christi</au><au>Felten, Sara</au><au>Liu, Heshan</au><au>Li, Yafei</au><au>Sloan, Jeff</au><au>Yang, Ping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SNPs in PTGS2 and LTA predict pain and quality of life in long term lung cancer survivors</atitle><jtitle>Lung cancer (Amsterdam, Netherlands)</jtitle><addtitle>Lung Cancer</addtitle><date>2012-07-01</date><risdate>2012</risdate><volume>77</volume><issue>1</issue><spage>217</spage><epage>223</epage><pages>217-223</pages><issn>0169-5002</issn><eissn>1872-8332</eissn><coden>LUCAE5</coden><abstract>Abstract Purpose Lung cancer survivors report the lowest quality of life relative to other cancer survivors. Pain is one of the most devastating, persistent, and incapacitating symptoms for lung cancer survivors. Prevalence rates vary with 80–100% of survivors experiencing cancer pain and healthcare costs are five times higher in cancer survivors with uncontrolled pain. Cancer pain often has a considerable impact on quality of life among cancer patients and cancer survivors. Therefore, early identification, and treatment is important. Although recent studies have suggested a relationship between single nucleotide polymorphisms (SNPs) in several cytokine and inflammation genes with cancer prognosis, associations with cancer pain are not clear. Therefore, the primary aim of this study was to identify SNPs related to pain in lung cancer survivors. Patients and methods Participants were enrolled in the Mayo Clinic Lung Cancer Cohort upon diagnosis of their lung cancer. 1149 Caucasian lung cancer survivors (440 surviving <3 years; 354 surviving 3–5 years; and 355 surviving >5 years) completed study questionnaires and had blood DNA samples available. Ten SNPS from PTGS2 and LTA genes were selected based on the serum-based studies in the literature. Outcomes included pain, and quality of life as measured by the SF-8. Results Of the 10 SNPs evaluated in LTA and PTGS2 genes, 3 were associated with pain severity (rs5277; rs1799964), social function (rs5277) and mental health (rs5275). These results suggested both specificity and consistency of these inflammatory gene SNPs in predicting pain severity in lung cancer survivors. Conclusion These results provide support for genetic predisposition to pain severity and may aid in identification of lung cancer survivors at high risk for morbidity and poor QOL.</abstract><cop>Oxford</cop><pub>Elsevier Ireland Ltd</pub><pmid>22464751</pmid><doi>10.1016/j.lungcan.2012.02.017</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Aged, 80 and over Biological and medical sciences Cyclooxygenase 2 - genetics Cytokines Female Gene Frequency Genetic Association Studies Genetics Hematology, Oncology and Palliative Medicine Humans Linear Models Linkage Disequilibrium Logistic Models LTA Lung cancer Lung Neoplasms - genetics Lung Neoplasms - physiopathology Lung Neoplasms - psychology Lymphotoxin-alpha - genetics Male Medical sciences Middle Aged Multivariate Analysis Pain Pain - genetics Pneumology Polymorphism, Single Nucleotide PTGS2 Pulmonary/Respiratory Quality of Life Sequence Analysis, DNA SNPs Survivors Tumors Tumors of the respiratory system and mediastinum |
title | SNPs in PTGS2 and LTA predict pain and quality of life in long term lung cancer survivors |
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