Predicting drug response and toxicity based on gene polymorphisms
The sequencing of the human genome has allowed the identification of thousands of gene polymorphisms, most often single nucleotide polymorphims (SNP), which may play an important role in the expression level and activity of the corresponding proteins. When these polymorphisms occur at the level of d...
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Veröffentlicht in: | Critical reviews in oncology/hematology 2005-06, Vol.54 (3), p.171-196 |
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description | The sequencing of the human genome has allowed the identification of thousands of gene polymorphisms, most often single nucleotide polymorphims (SNP), which may play an important role in the expression level and activity of the corresponding proteins. When these polymorphisms occur at the level of drug metabolising enzymes or transporters, the disposition of the drug may be altered and, consequently, its efficacy may be compromised or its toxicity enhanced. Polymorphisms can also occur at the level of proteins directly involved in drug action, either when the protein is the target of the drug or when the protein is involved in the repair of drug-induced lesions. There again, these polymorphisms may lead to alterations in drug efficacy and/or toxicity. The identification of functional polymorphisms in patients undergoing chemotherapy may help the clinician prescribe the optimal drug combination or schedule and predict with more accuracy the response to these prescriptions. We have recorded in this review the polymorphisms that have been identified up till now in genes involved in anticancer drug activity. Some of them appear especially important in predicting drug toxicity and should be determined in routine before drug administration; this is the case of the most common variations of thiopurine methyltransferase for 6-mercaptopurine and of dihydropyrimidine dehydrogenase for fluorouracil. Other appear determinant for drug response, such as the common SNPs found in glutathione S-transferase P1 or
xereoderma pigmentosum group D enzyme for the activity of oxaliplatin. However, confusion factors may exist between the role of gene polymorphisms in cancer risk or overall prognosis and their role in drug response. |
doi_str_mv | 10.1016/j.critrevonc.2005.01.005 |
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xereoderma pigmentosum group D enzyme for the activity of oxaliplatin. However, confusion factors may exist between the role of gene polymorphisms in cancer risk or overall prognosis and their role in drug response.</description><subject>Biological and medical sciences</subject><subject>Cytochrome P-450 Enzyme System - genetics</subject><subject>DNA repair</subject><subject>Drug metabolism</subject><subject>Drug Resistance, Neoplasm - genetics</subject><subject>Drug response</subject><subject>Drug toxicity</subject><subject>Drug transport</subject><subject>Drug-Related Side Effects and Adverse Reactions - genetics</subject><subject>Enzymes - genetics</subject><subject>Gene polymorphisms</subject><subject>Hematologic and hematopoietic diseases</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Medical sciences</subject><subject>Neoplasms - diagnosis</subject><subject>Neoplasms - drug therapy</subject><subject>Neoplasms - genetics</subject><subject>Polymorphism, Genetic</subject><subject>Predictive Value of Tests</subject><subject>Single nucleotide polymorphisms</subject><subject>Treatment Outcome</subject><issn>1040-8428</issn><issn>1879-0461</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkLFu2zAURYkgQewm-YWAS7dKfRQpkhpdo00KGGiGZCYoknJoWKJAykb996FhIx4z3Tec-3BxEMIESgKE_9yUJvopun0YTFkB1CWQMscVmhMpmgIYJ9f5BgaFZJWcoW8pbQCAMS5u0YzUsoGKyzlavERnvZn8sMY27tY4ujSGITmsB4un8N8bPx1wq5OzOAx47QaHx7A99CGO7z716R7ddHqb3MM579Dbn9-vy-di9e_p73KxKkwN9VRQTZgFSUVrK6AtsZ22neTaOsZb6ARvGdW0aTSvnRZVZ0jbsgxpS5tKsIreoR-nv-96q8boex0PKmivnhcr5fPi2CuoGJW8pnuScXnCTQwpRdd9dgioo0S1UReJ6ihRAVE5cvXxVB13be_spXi2loHvZ0Ano7dd1IPx6cJxIYXgxw2_TpzLXvbeRZWMd4PJxqMzk7LBf73mA4rOlj4</recordid><startdate>20050601</startdate><enddate>20050601</enddate><creator>Robert, Jacques</creator><creator>Morvan, Valérie Le</creator><creator>Smith, Denis</creator><creator>Pourquier, Philippe</creator><creator>Bonnet, Jacques</creator><general>Elsevier Ireland Ltd</general><general>Elsevier Science</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>1XC</scope><orcidid>https://orcid.org/0000-0003-2408-4344</orcidid><orcidid>https://orcid.org/0000-0001-5326-3005</orcidid></search><sort><creationdate>20050601</creationdate><title>Predicting drug response and toxicity based on gene polymorphisms</title><author>Robert, Jacques ; Morvan, Valérie Le ; Smith, Denis ; Pourquier, Philippe ; Bonnet, Jacques</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c505t-3a14d0837bd203b1dfadf86ade46b0f76b43a399a65ea72fc1bb4dfaad3927423</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Biological and medical sciences</topic><topic>Cytochrome P-450 Enzyme System - genetics</topic><topic>DNA repair</topic><topic>Drug metabolism</topic><topic>Drug Resistance, Neoplasm - genetics</topic><topic>Drug response</topic><topic>Drug toxicity</topic><topic>Drug transport</topic><topic>Drug-Related Side Effects and Adverse Reactions - genetics</topic><topic>Enzymes - genetics</topic><topic>Gene polymorphisms</topic><topic>Hematologic and hematopoietic diseases</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Medical sciences</topic><topic>Neoplasms - diagnosis</topic><topic>Neoplasms - drug therapy</topic><topic>Neoplasms - genetics</topic><topic>Polymorphism, Genetic</topic><topic>Predictive Value of Tests</topic><topic>Single nucleotide polymorphisms</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Robert, Jacques</creatorcontrib><creatorcontrib>Morvan, Valérie Le</creatorcontrib><creatorcontrib>Smith, Denis</creatorcontrib><creatorcontrib>Pourquier, Philippe</creatorcontrib><creatorcontrib>Bonnet, Jacques</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>Hyper Article en Ligne (HAL)</collection><jtitle>Critical reviews in oncology/hematology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Robert, Jacques</au><au>Morvan, Valérie Le</au><au>Smith, Denis</au><au>Pourquier, Philippe</au><au>Bonnet, Jacques</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting drug response and toxicity based on gene polymorphisms</atitle><jtitle>Critical reviews in oncology/hematology</jtitle><addtitle>Crit Rev Oncol Hematol</addtitle><date>2005-06-01</date><risdate>2005</risdate><volume>54</volume><issue>3</issue><spage>171</spage><epage>196</epage><pages>171-196</pages><issn>1040-8428</issn><eissn>1879-0461</eissn><abstract>The sequencing of the human genome has allowed the identification of thousands of gene polymorphisms, most often single nucleotide polymorphims (SNP), which may play an important role in the expression level and activity of the corresponding proteins. When these polymorphisms occur at the level of drug metabolising enzymes or transporters, the disposition of the drug may be altered and, consequently, its efficacy may be compromised or its toxicity enhanced. Polymorphisms can also occur at the level of proteins directly involved in drug action, either when the protein is the target of the drug or when the protein is involved in the repair of drug-induced lesions. There again, these polymorphisms may lead to alterations in drug efficacy and/or toxicity. The identification of functional polymorphisms in patients undergoing chemotherapy may help the clinician prescribe the optimal drug combination or schedule and predict with more accuracy the response to these prescriptions. We have recorded in this review the polymorphisms that have been identified up till now in genes involved in anticancer drug activity. Some of them appear especially important in predicting drug toxicity and should be determined in routine before drug administration; this is the case of the most common variations of thiopurine methyltransferase for 6-mercaptopurine and of dihydropyrimidine dehydrogenase for fluorouracil. Other appear determinant for drug response, such as the common SNPs found in glutathione S-transferase P1 or
xereoderma pigmentosum group D enzyme for the activity of oxaliplatin. However, confusion factors may exist between the role of gene polymorphisms in cancer risk or overall prognosis and their role in drug response.</abstract><cop>Shannon</cop><pub>Elsevier Ireland Ltd</pub><pmid>15890268</pmid><doi>10.1016/j.critrevonc.2005.01.005</doi><tpages>26</tpages><orcidid>https://orcid.org/0000-0003-2408-4344</orcidid><orcidid>https://orcid.org/0000-0001-5326-3005</orcidid></addata></record> |
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subjects | Biological and medical sciences Cytochrome P-450 Enzyme System - genetics DNA repair Drug metabolism Drug Resistance, Neoplasm - genetics Drug response Drug toxicity Drug transport Drug-Related Side Effects and Adverse Reactions - genetics Enzymes - genetics Gene polymorphisms Hematologic and hematopoietic diseases Humans Life Sciences Medical sciences Neoplasms - diagnosis Neoplasms - drug therapy Neoplasms - genetics Polymorphism, Genetic Predictive Value of Tests Single nucleotide polymorphisms Treatment Outcome |
title | Predicting drug response and toxicity based on gene polymorphisms |
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