Cancer pharmacogenetics: polymorphisms, pathways and beyond

Key Points The field of pharmacogenetics attempts to use genetic information to predict an individual's drug response. It is especially important in cancer chemotherapy given the narrow therapeutic index of these drugs. So far, pharmacogenetic research has largely focused on the effect of singl...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nature reviews. Cancer 2003-12, Vol.3 (12), p.912-920
Hauptverfasser: Ulrich, Cornelia M, Robien, Kim, McLeod, Howard L
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 920
container_issue 12
container_start_page 912
container_title Nature reviews. Cancer
container_volume 3
creator Ulrich, Cornelia M
Robien, Kim
McLeod, Howard L
description Key Points The field of pharmacogenetics attempts to use genetic information to predict an individual's drug response. It is especially important in cancer chemotherapy given the narrow therapeutic index of these drugs. So far, pharmacogenetic research has largely focused on the effect of single candidate polymorphisms. However, many of the genetic variants that are associated with extreme drug toxicity are rare and explain only a small portion of the variation seen in drug response. Understanding the interactions of genetic variants within a biological or pharmacological pathway will allow for an improved ability to predict drug response. Folate metabolism — a target of antifolate chemotherapeutic agents and thymidylate-synthase inhibitors — is a biological pathway of substantial interest to pharmacogenetic researchers. Pharmacological pathways are being constructed for the systematic evaluation of the genes that regulate variation in the toxicity and efficacy of anticancer agents. Mouse models show promise in identifying key enzymes in pharmacogenetic pathways and will allow study of genetic variation in these pathways. Inherited genetic variations can affect a patient's response to chemotherapeutic agents given for cancer. Pharmacogenetics aims to use knowledge of these variations to 'tailor' therapy for improved response and reduced toxicity. Most research so far has focused on single polymorphisms. A more comprehensive approach to predict treatment response will be to consider genetic variation in entire biological and pharmacological pathways. Of particular relevance to cancer chemotherapy is folate metabolism, which is the target of methotrexate and 5-fluorouracil. Furthermore, efforts have begun to construct pathways of genes that have pharmacological relevance for individual chemotherapeutic agents. Together, these pathway strategies offer a higher likelihood of achieving the promise of genetically guided cancer therapy.
doi_str_mv 10.1038/nrc1233
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_17979988</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A185620846</galeid><sourcerecordid>A185620846</sourcerecordid><originalsourceid>FETCH-LOGICAL-c488t-1034485f71bb6ac05cfcf6069d3b49ae70cfcdc567c891a29fbd3e84ca1185443</originalsourceid><addsrcrecordid>eNptkVtr3DAQhUVoybX0F7SYFJI-ZFPJliW5fQpL2gQCfWkhb2Isj9cOtuRINmH_fbR4m0tb9CAx55ujGQ4h7xk9ZzRTX6w3LM2yHbLPuOQLJoV68_TOb_fIQQh3lDLBJNslexuBikztk29LsAZ9MjTgezBuhRbH1oSvyeC6de_80LShD2fJAGPzAOuQgK2SEtfOVkfkbQ1dwHfb-5D8_n75a3m1uPn543p5cbMwXKlxEQfkXOW1ZGUpwNDc1KYWVBRVVvICUNJYqEwupFEFg7SoyypDxQ0wpnLOs0NyMvsO3t1PGEbdt8Fg14FFNwXNZCGLQqkIHv8F3rnJ2zibTjMqlVDpxu3TDK2gQ93a2o0ezMZRX8T_REoVF5E6_w8VT4V9a5zFuo31Vw0nLxoahG5sguumsXU2vAZPZ9B4F4LHWg--7cGvNaN6E6behhnJj9t1prLH6pnbpheBzzMQomRX6J_3_dfrw4xaGCePT15_9Ee-XK7I</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>230786824</pqid></control><display><type>article</type><title>Cancer pharmacogenetics: polymorphisms, pathways and beyond</title><source>MEDLINE</source><source>Springer Nature</source><source>Springer Nature - Connect here FIRST to enable access</source><creator>Ulrich, Cornelia M ; Robien, Kim ; McLeod, Howard L</creator><creatorcontrib>Ulrich, Cornelia M ; Robien, Kim ; McLeod, Howard L</creatorcontrib><description>Key Points The field of pharmacogenetics attempts to use genetic information to predict an individual's drug response. It is especially important in cancer chemotherapy given the narrow therapeutic index of these drugs. So far, pharmacogenetic research has largely focused on the effect of single candidate polymorphisms. However, many of the genetic variants that are associated with extreme drug toxicity are rare and explain only a small portion of the variation seen in drug response. Understanding the interactions of genetic variants within a biological or pharmacological pathway will allow for an improved ability to predict drug response. Folate metabolism — a target of antifolate chemotherapeutic agents and thymidylate-synthase inhibitors — is a biological pathway of substantial interest to pharmacogenetic researchers. Pharmacological pathways are being constructed for the systematic evaluation of the genes that regulate variation in the toxicity and efficacy of anticancer agents. Mouse models show promise in identifying key enzymes in pharmacogenetic pathways and will allow study of genetic variation in these pathways. Inherited genetic variations can affect a patient's response to chemotherapeutic agents given for cancer. Pharmacogenetics aims to use knowledge of these variations to 'tailor' therapy for improved response and reduced toxicity. Most research so far has focused on single polymorphisms. A more comprehensive approach to predict treatment response will be to consider genetic variation in entire biological and pharmacological pathways. Of particular relevance to cancer chemotherapy is folate metabolism, which is the target of methotrexate and 5-fluorouracil. Furthermore, efforts have begun to construct pathways of genes that have pharmacological relevance for individual chemotherapeutic agents. Together, these pathway strategies offer a higher likelihood of achieving the promise of genetically guided cancer therapy.</description><identifier>ISSN: 1474-175X</identifier><identifier>EISSN: 1474-1768</identifier><identifier>DOI: 10.1038/nrc1233</identifier><identifier>PMID: 14740638</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>Antineoplastic Agents - therapeutic use ; Biomedical and Life Sciences ; Biomedicine ; Cancer ; Cancer Research ; Care and treatment ; Diagnosis ; Drug-Related Side Effects and Adverse Reactions ; Genetic polymorphisms ; Genetic Variation ; Health aspects ; Humans ; Methods ; Neoplasms - drug therapy ; Neoplasms - genetics ; Oncology, Experimental ; Pharmacogenetics ; Physiological aspects ; Polymorphism, Genetic - genetics ; review-article ; Risk factors ; Signal Transduction</subject><ispartof>Nature reviews. Cancer, 2003-12, Vol.3 (12), p.912-920</ispartof><rights>Springer Nature Limited 2003</rights><rights>COPYRIGHT 2003 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Dec 2003</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c488t-1034485f71bb6ac05cfcf6069d3b49ae70cfcdc567c891a29fbd3e84ca1185443</citedby><cites>FETCH-LOGICAL-c488t-1034485f71bb6ac05cfcf6069d3b49ae70cfcdc567c891a29fbd3e84ca1185443</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/nrc1233$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/nrc1233$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,2727,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/14740638$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ulrich, Cornelia M</creatorcontrib><creatorcontrib>Robien, Kim</creatorcontrib><creatorcontrib>McLeod, Howard L</creatorcontrib><title>Cancer pharmacogenetics: polymorphisms, pathways and beyond</title><title>Nature reviews. Cancer</title><addtitle>Nat Rev Cancer</addtitle><addtitle>Nat Rev Cancer</addtitle><description>Key Points The field of pharmacogenetics attempts to use genetic information to predict an individual's drug response. It is especially important in cancer chemotherapy given the narrow therapeutic index of these drugs. So far, pharmacogenetic research has largely focused on the effect of single candidate polymorphisms. However, many of the genetic variants that are associated with extreme drug toxicity are rare and explain only a small portion of the variation seen in drug response. Understanding the interactions of genetic variants within a biological or pharmacological pathway will allow for an improved ability to predict drug response. Folate metabolism — a target of antifolate chemotherapeutic agents and thymidylate-synthase inhibitors — is a biological pathway of substantial interest to pharmacogenetic researchers. Pharmacological pathways are being constructed for the systematic evaluation of the genes that regulate variation in the toxicity and efficacy of anticancer agents. Mouse models show promise in identifying key enzymes in pharmacogenetic pathways and will allow study of genetic variation in these pathways. Inherited genetic variations can affect a patient's response to chemotherapeutic agents given for cancer. Pharmacogenetics aims to use knowledge of these variations to 'tailor' therapy for improved response and reduced toxicity. Most research so far has focused on single polymorphisms. A more comprehensive approach to predict treatment response will be to consider genetic variation in entire biological and pharmacological pathways. Of particular relevance to cancer chemotherapy is folate metabolism, which is the target of methotrexate and 5-fluorouracil. Furthermore, efforts have begun to construct pathways of genes that have pharmacological relevance for individual chemotherapeutic agents. Together, these pathway strategies offer a higher likelihood of achieving the promise of genetically guided cancer therapy.</description><subject>Antineoplastic Agents - therapeutic use</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Cancer</subject><subject>Cancer Research</subject><subject>Care and treatment</subject><subject>Diagnosis</subject><subject>Drug-Related Side Effects and Adverse Reactions</subject><subject>Genetic polymorphisms</subject><subject>Genetic Variation</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Methods</subject><subject>Neoplasms - drug therapy</subject><subject>Neoplasms - genetics</subject><subject>Oncology, Experimental</subject><subject>Pharmacogenetics</subject><subject>Physiological aspects</subject><subject>Polymorphism, Genetic - genetics</subject><subject>review-article</subject><subject>Risk factors</subject><subject>Signal Transduction</subject><issn>1474-175X</issn><issn>1474-1768</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</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><sourceid>GNUQQ</sourceid><recordid>eNptkVtr3DAQhUVoybX0F7SYFJI-ZFPJliW5fQpL2gQCfWkhb2Isj9cOtuRINmH_fbR4m0tb9CAx55ujGQ4h7xk9ZzRTX6w3LM2yHbLPuOQLJoV68_TOb_fIQQh3lDLBJNslexuBikztk29LsAZ9MjTgezBuhRbH1oSvyeC6de_80LShD2fJAGPzAOuQgK2SEtfOVkfkbQ1dwHfb-5D8_n75a3m1uPn543p5cbMwXKlxEQfkXOW1ZGUpwNDc1KYWVBRVVvICUNJYqEwupFEFg7SoyypDxQ0wpnLOs0NyMvsO3t1PGEbdt8Fg14FFNwXNZCGLQqkIHv8F3rnJ2zibTjMqlVDpxu3TDK2gQ93a2o0ezMZRX8T_REoVF5E6_w8VT4V9a5zFuo31Vw0nLxoahG5sguumsXU2vAZPZ9B4F4LHWg--7cGvNaN6E6behhnJj9t1prLH6pnbpheBzzMQomRX6J_3_dfrw4xaGCePT15_9Ee-XK7I</recordid><startdate>20031201</startdate><enddate>20031201</enddate><creator>Ulrich, Cornelia M</creator><creator>Robien, Kim</creator><creator>McLeod, Howard L</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</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>7RV</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</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>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope></search><sort><creationdate>20031201</creationdate><title>Cancer pharmacogenetics: polymorphisms, pathways and beyond</title><author>Ulrich, Cornelia M ; Robien, Kim ; McLeod, Howard L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c488t-1034485f71bb6ac05cfcf6069d3b49ae70cfcdc567c891a29fbd3e84ca1185443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Antineoplastic Agents - therapeutic use</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Cancer</topic><topic>Cancer Research</topic><topic>Care and treatment</topic><topic>Diagnosis</topic><topic>Drug-Related Side Effects and Adverse Reactions</topic><topic>Genetic polymorphisms</topic><topic>Genetic Variation</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Methods</topic><topic>Neoplasms - drug therapy</topic><topic>Neoplasms - genetics</topic><topic>Oncology, Experimental</topic><topic>Pharmacogenetics</topic><topic>Physiological aspects</topic><topic>Polymorphism, Genetic - genetics</topic><topic>review-article</topic><topic>Risk factors</topic><topic>Signal Transduction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ulrich, Cornelia M</creatorcontrib><creatorcontrib>Robien, Kim</creatorcontrib><creatorcontrib>McLeod, Howard L</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing &amp; Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>ProQuest Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</collection><collection>Technology Research Database</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>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>ProQuest Consumer Health Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Biological Science Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</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>Genetics Abstracts</collection><jtitle>Nature reviews. Cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ulrich, Cornelia M</au><au>Robien, Kim</au><au>McLeod, Howard L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cancer pharmacogenetics: polymorphisms, pathways and beyond</atitle><jtitle>Nature reviews. Cancer</jtitle><stitle>Nat Rev Cancer</stitle><addtitle>Nat Rev Cancer</addtitle><date>2003-12-01</date><risdate>2003</risdate><volume>3</volume><issue>12</issue><spage>912</spage><epage>920</epage><pages>912-920</pages><issn>1474-175X</issn><eissn>1474-1768</eissn><abstract>Key Points The field of pharmacogenetics attempts to use genetic information to predict an individual's drug response. It is especially important in cancer chemotherapy given the narrow therapeutic index of these drugs. So far, pharmacogenetic research has largely focused on the effect of single candidate polymorphisms. However, many of the genetic variants that are associated with extreme drug toxicity are rare and explain only a small portion of the variation seen in drug response. Understanding the interactions of genetic variants within a biological or pharmacological pathway will allow for an improved ability to predict drug response. Folate metabolism — a target of antifolate chemotherapeutic agents and thymidylate-synthase inhibitors — is a biological pathway of substantial interest to pharmacogenetic researchers. Pharmacological pathways are being constructed for the systematic evaluation of the genes that regulate variation in the toxicity and efficacy of anticancer agents. Mouse models show promise in identifying key enzymes in pharmacogenetic pathways and will allow study of genetic variation in these pathways. Inherited genetic variations can affect a patient's response to chemotherapeutic agents given for cancer. Pharmacogenetics aims to use knowledge of these variations to 'tailor' therapy for improved response and reduced toxicity. Most research so far has focused on single polymorphisms. A more comprehensive approach to predict treatment response will be to consider genetic variation in entire biological and pharmacological pathways. Of particular relevance to cancer chemotherapy is folate metabolism, which is the target of methotrexate and 5-fluorouracil. Furthermore, efforts have begun to construct pathways of genes that have pharmacological relevance for individual chemotherapeutic agents. Together, these pathway strategies offer a higher likelihood of achieving the promise of genetically guided cancer therapy.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>14740638</pmid><doi>10.1038/nrc1233</doi><tpages>9</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1474-175X
ispartof Nature reviews. Cancer, 2003-12, Vol.3 (12), p.912-920
issn 1474-175X
1474-1768
language eng
recordid cdi_proquest_miscellaneous_17979988
source MEDLINE; Springer Nature; Springer Nature - Connect here FIRST to enable access
subjects Antineoplastic Agents - therapeutic use
Biomedical and Life Sciences
Biomedicine
Cancer
Cancer Research
Care and treatment
Diagnosis
Drug-Related Side Effects and Adverse Reactions
Genetic polymorphisms
Genetic Variation
Health aspects
Humans
Methods
Neoplasms - drug therapy
Neoplasms - genetics
Oncology, Experimental
Pharmacogenetics
Physiological aspects
Polymorphism, Genetic - genetics
review-article
Risk factors
Signal Transduction
title Cancer pharmacogenetics: polymorphisms, pathways and beyond
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T17%3A04%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cancer%20pharmacogenetics:%20polymorphisms,%20pathways%20and%20beyond&rft.jtitle=Nature%20reviews.%20Cancer&rft.au=Ulrich,%20Cornelia%20M&rft.date=2003-12-01&rft.volume=3&rft.issue=12&rft.spage=912&rft.epage=920&rft.pages=912-920&rft.issn=1474-175X&rft.eissn=1474-1768&rft_id=info:doi/10.1038/nrc1233&rft_dat=%3Cgale_proqu%3EA185620846%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=230786824&rft_id=info:pmid/14740638&rft_galeid=A185620846&rfr_iscdi=true