An analysis of genetic heterogeneity in untreated cancers
Genetic intratumoural heterogeneity is a natural consequence of imperfect DNA replication. Any two randomly selected cells, whether normal or cancerous, are therefore genetically different. Here, we review the different forms of genetic heterogeneity in cancer and re-analyse the extent of genetic he...
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Veröffentlicht in: | Nature reviews. Cancer 2019-11, Vol.19 (11), p.639-650 |
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creator | Reiter, Johannes G. Baretti, Marina Gerold, Jeffrey M. Makohon-Moore, Alvin P. Daud, Adil Iacobuzio-Donahue, Christine A. Azad, Nilofer S. Kinzler, Kenneth W. Nowak, Martin A. Vogelstein, Bert |
description | Genetic intratumoural heterogeneity is a natural consequence of imperfect DNA replication. Any two randomly selected cells, whether normal or cancerous, are therefore genetically different. Here, we review the different forms of genetic heterogeneity in cancer and re-analyse the extent of genetic heterogeneity within seven types of untreated epithelial cancers, with particular regard to its clinical relevance. We find that the homogeneity of predicted functional mutations in driver genes is the rule rather than the exception. In primary tumours with multiple samples, 97% of driver-gene mutations in 38 patients were homogeneous. Moreover, among metastases from the same primary tumour, 100% of the driver mutations in 17 patients were homogeneous. With a single biopsy of a primary tumour in 14 patients, the likelihood of missing a functional driver-gene mutation that was present in all metastases was 2.6%. Furthermore, all functional driver-gene mutations detected in these 14 primary tumours were present among all their metastases. Finally, we found that individual metastatic lesions responded concordantly to targeted therapies in 91% of 44 patients. These analyses indicate that the cells within the primary tumours that gave rise to metastases are genetically homogeneous with respect to functional driver-gene mutations, and we suggest that future efforts to develop combination therapies have the potential to be curative.
This Analysis article examines the extent of genetic heterogeneity within several types of untreated cancers, with particular regard to its clinical relevance, and finds that the homogeneity of predicted functional mutations in driver genes is the rule rather than the exception. |
doi_str_mv | 10.1038/s41568-019-0185-x |
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This Analysis article examines the extent of genetic heterogeneity within several types of untreated cancers, with particular regard to its clinical relevance, and finds that the homogeneity of predicted functional mutations in driver genes is the rule rather than the exception.</description><identifier>ISSN: 1474-175X</identifier><identifier>EISSN: 1474-1768</identifier><identifier>DOI: 10.1038/s41568-019-0185-x</identifier><identifier>PMID: 31455892</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/67/2329 ; 631/67/395 ; 631/67/68 ; 631/67/69 ; Analysis ; Animals ; Biomedical and Life Sciences ; Biomedicine ; Biopsy ; Cancer ; Cancer Research ; Care and treatment ; Clinical Trials as Topic ; DNA biosynthesis ; DNA replication ; Epigenesis, Genetic ; Gene mutations ; Genetic analysis ; Genetic aspects ; Genetic Heterogeneity ; Heterogeneity ; Homogeneity ; Humans ; Medical Oncology ; Metastases ; Metastasis ; Mutation ; Neoplasm Metastasis ; Point mutation ; Skin Neoplasms - genetics ; Skin Neoplasms - pathology ; Tumors</subject><ispartof>Nature reviews. Cancer, 2019-11, Vol.19 (11), p.639-650</ispartof><rights>Springer Nature Limited 2019</rights><rights>COPYRIGHT 2019 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Nov 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c634t-4b3778c1c8d6dbd374ab353b1c86540c9ec3871238d5b4da7d29bd91c28fb3af3</citedby><cites>FETCH-LOGICAL-c634t-4b3778c1c8d6dbd374ab353b1c86540c9ec3871238d5b4da7d29bd91c28fb3af3</cites><orcidid>0000-0002-6617-8421 ; 0000-0003-0766-3854 ; 0000-0002-0170-7353 ; 0000-0001-5489-0908 ; 0000-0002-4672-3023 ; 0000-0003-0125-2405</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41568-019-0185-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41568-019-0185-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,777,781,882,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31455892$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Reiter, Johannes G.</creatorcontrib><creatorcontrib>Baretti, Marina</creatorcontrib><creatorcontrib>Gerold, Jeffrey M.</creatorcontrib><creatorcontrib>Makohon-Moore, Alvin P.</creatorcontrib><creatorcontrib>Daud, Adil</creatorcontrib><creatorcontrib>Iacobuzio-Donahue, Christine A.</creatorcontrib><creatorcontrib>Azad, Nilofer S.</creatorcontrib><creatorcontrib>Kinzler, Kenneth W.</creatorcontrib><creatorcontrib>Nowak, Martin A.</creatorcontrib><creatorcontrib>Vogelstein, Bert</creatorcontrib><title>An analysis of genetic heterogeneity in untreated cancers</title><title>Nature reviews. Cancer</title><addtitle>Nat Rev Cancer</addtitle><addtitle>Nat Rev Cancer</addtitle><description>Genetic intratumoural heterogeneity is a natural consequence of imperfect DNA replication. Any two randomly selected cells, whether normal or cancerous, are therefore genetically different. Here, we review the different forms of genetic heterogeneity in cancer and re-analyse the extent of genetic heterogeneity within seven types of untreated epithelial cancers, with particular regard to its clinical relevance. We find that the homogeneity of predicted functional mutations in driver genes is the rule rather than the exception. In primary tumours with multiple samples, 97% of driver-gene mutations in 38 patients were homogeneous. Moreover, among metastases from the same primary tumour, 100% of the driver mutations in 17 patients were homogeneous. With a single biopsy of a primary tumour in 14 patients, the likelihood of missing a functional driver-gene mutation that was present in all metastases was 2.6%. Furthermore, all functional driver-gene mutations detected in these 14 primary tumours were present among all their metastases. Finally, we found that individual metastatic lesions responded concordantly to targeted therapies in 91% of 44 patients. These analyses indicate that the cells within the primary tumours that gave rise to metastases are genetically homogeneous with respect to functional driver-gene mutations, and we suggest that future efforts to develop combination therapies have the potential to be curative.
This Analysis article examines the extent of genetic heterogeneity within several types of untreated cancers, with particular regard to its clinical relevance, and finds that the homogeneity of predicted functional mutations in driver genes is the rule rather than the exception.</description><subject>631/67/2329</subject><subject>631/67/395</subject><subject>631/67/68</subject><subject>631/67/69</subject><subject>Analysis</subject><subject>Animals</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Biopsy</subject><subject>Cancer</subject><subject>Cancer Research</subject><subject>Care and treatment</subject><subject>Clinical Trials as Topic</subject><subject>DNA biosynthesis</subject><subject>DNA replication</subject><subject>Epigenesis, Genetic</subject><subject>Gene mutations</subject><subject>Genetic analysis</subject><subject>Genetic aspects</subject><subject>Genetic Heterogeneity</subject><subject>Heterogeneity</subject><subject>Homogeneity</subject><subject>Humans</subject><subject>Medical Oncology</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Mutation</subject><subject>Neoplasm Metastasis</subject><subject>Point mutation</subject><subject>Skin Neoplasms - genetics</subject><subject>Skin Neoplasms - pathology</subject><subject>Tumors</subject><issn>1474-175X</issn><issn>1474-1768</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</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>eNp1kt9rFDEQx4Motj39A3yRBUH6sjWz-bHZF-Eo_oKCLwq-hWwye5eyl9Rkt_T-e3NevfZEE0KSmc9MMsOXkFdAL4Ay9S5zEFLVFLqylKjvnpBT4C2voZXq6eEsfpyQs5yvKQUJLTwnJwy4EKprTkm3DJUJZtxmn6s4VCsMOHlbrXHCFHc3P20rH6o5TAnNhK6yJlhM-QV5Npgx48v7fUG-f_zw7fJzffX105fL5VVtJeNTzXvWtsqCVU663rGWm54J1heDFJzaDi1TLTRMOdFzZ1rXdL3rwDZq6JkZ2IK83-e9mfsNOovlI2bUN8lvTNrqaLw-9gS_1qt4q6UCycpYkPP7BCn-nDFPeuOzxXE0AeOcddMoUFyKjhb0zV_odZxTaU-hGO0ECGDNA7UyI2ofhljetbukeikpa38XVqiLf1BlOtx4GwMOvtiPAt4-ClijGad1juM8-RjyMQh70KaYc8Lh0AygeicMvReGLsLQO2HouxLz-nEXDxF_lFCAZg_k4gorTA-l_z_rL6q1wfs</recordid><startdate>20191101</startdate><enddate>20191101</enddate><creator>Reiter, Johannes G.</creator><creator>Baretti, Marina</creator><creator>Gerold, Jeffrey M.</creator><creator>Makohon-Moore, Alvin P.</creator><creator>Daud, Adil</creator><creator>Iacobuzio-Donahue, Christine A.</creator><creator>Azad, Nilofer S.</creator><creator>Kinzler, Kenneth W.</creator><creator>Nowak, Martin A.</creator><creator>Vogelstein, Bert</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><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6617-8421</orcidid><orcidid>https://orcid.org/0000-0003-0766-3854</orcidid><orcidid>https://orcid.org/0000-0002-0170-7353</orcidid><orcidid>https://orcid.org/0000-0001-5489-0908</orcidid><orcidid>https://orcid.org/0000-0002-4672-3023</orcidid><orcidid>https://orcid.org/0000-0003-0125-2405</orcidid></search><sort><creationdate>20191101</creationdate><title>An analysis of genetic heterogeneity in untreated cancers</title><author>Reiter, Johannes G. ; Baretti, Marina ; Gerold, Jeffrey M. ; Makohon-Moore, Alvin P. ; Daud, Adil ; Iacobuzio-Donahue, Christine A. ; Azad, Nilofer S. ; Kinzler, Kenneth W. ; Nowak, Martin A. ; Vogelstein, Bert</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c634t-4b3778c1c8d6dbd374ab353b1c86540c9ec3871238d5b4da7d29bd91c28fb3af3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>631/67/2329</topic><topic>631/67/395</topic><topic>631/67/68</topic><topic>631/67/69</topic><topic>Analysis</topic><topic>Animals</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Biopsy</topic><topic>Cancer</topic><topic>Cancer Research</topic><topic>Care and treatment</topic><topic>Clinical Trials as Topic</topic><topic>DNA biosynthesis</topic><topic>DNA replication</topic><topic>Epigenesis, Genetic</topic><topic>Gene mutations</topic><topic>Genetic analysis</topic><topic>Genetic aspects</topic><topic>Genetic Heterogeneity</topic><topic>Heterogeneity</topic><topic>Homogeneity</topic><topic>Humans</topic><topic>Medical Oncology</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>Mutation</topic><topic>Neoplasm Metastasis</topic><topic>Point mutation</topic><topic>Skin Neoplasms - genetics</topic><topic>Skin Neoplasms - pathology</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Reiter, Johannes G.</creatorcontrib><creatorcontrib>Baretti, Marina</creatorcontrib><creatorcontrib>Gerold, Jeffrey M.</creatorcontrib><creatorcontrib>Makohon-Moore, Alvin P.</creatorcontrib><creatorcontrib>Daud, Adil</creatorcontrib><creatorcontrib>Iacobuzio-Donahue, Christine A.</creatorcontrib><creatorcontrib>Azad, Nilofer S.</creatorcontrib><creatorcontrib>Kinzler, Kenneth W.</creatorcontrib><creatorcontrib>Nowak, Martin A.</creatorcontrib><creatorcontrib>Vogelstein, Bert</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>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</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</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & 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><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nature reviews. Cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Reiter, Johannes G.</au><au>Baretti, Marina</au><au>Gerold, Jeffrey M.</au><au>Makohon-Moore, Alvin P.</au><au>Daud, Adil</au><au>Iacobuzio-Donahue, Christine A.</au><au>Azad, Nilofer S.</au><au>Kinzler, Kenneth W.</au><au>Nowak, Martin A.</au><au>Vogelstein, Bert</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An analysis of genetic heterogeneity in untreated cancers</atitle><jtitle>Nature reviews. Cancer</jtitle><stitle>Nat Rev Cancer</stitle><addtitle>Nat Rev Cancer</addtitle><date>2019-11-01</date><risdate>2019</risdate><volume>19</volume><issue>11</issue><spage>639</spage><epage>650</epage><pages>639-650</pages><issn>1474-175X</issn><eissn>1474-1768</eissn><abstract>Genetic intratumoural heterogeneity is a natural consequence of imperfect DNA replication. Any two randomly selected cells, whether normal or cancerous, are therefore genetically different. Here, we review the different forms of genetic heterogeneity in cancer and re-analyse the extent of genetic heterogeneity within seven types of untreated epithelial cancers, with particular regard to its clinical relevance. We find that the homogeneity of predicted functional mutations in driver genes is the rule rather than the exception. In primary tumours with multiple samples, 97% of driver-gene mutations in 38 patients were homogeneous. Moreover, among metastases from the same primary tumour, 100% of the driver mutations in 17 patients were homogeneous. With a single biopsy of a primary tumour in 14 patients, the likelihood of missing a functional driver-gene mutation that was present in all metastases was 2.6%. Furthermore, all functional driver-gene mutations detected in these 14 primary tumours were present among all their metastases. Finally, we found that individual metastatic lesions responded concordantly to targeted therapies in 91% of 44 patients. These analyses indicate that the cells within the primary tumours that gave rise to metastases are genetically homogeneous with respect to functional driver-gene mutations, and we suggest that future efforts to develop combination therapies have the potential to be curative.
This Analysis article examines the extent of genetic heterogeneity within several types of untreated cancers, with particular regard to its clinical relevance, and finds that the homogeneity of predicted functional mutations in driver genes is the rule rather than the exception.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>31455892</pmid><doi>10.1038/s41568-019-0185-x</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-6617-8421</orcidid><orcidid>https://orcid.org/0000-0003-0766-3854</orcidid><orcidid>https://orcid.org/0000-0002-0170-7353</orcidid><orcidid>https://orcid.org/0000-0001-5489-0908</orcidid><orcidid>https://orcid.org/0000-0002-4672-3023</orcidid><orcidid>https://orcid.org/0000-0003-0125-2405</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 631/67/2329 631/67/395 631/67/68 631/67/69 Analysis Animals Biomedical and Life Sciences Biomedicine Biopsy Cancer Cancer Research Care and treatment Clinical Trials as Topic DNA biosynthesis DNA replication Epigenesis, Genetic Gene mutations Genetic analysis Genetic aspects Genetic Heterogeneity Heterogeneity Homogeneity Humans Medical Oncology Metastases Metastasis Mutation Neoplasm Metastasis Point mutation Skin Neoplasms - genetics Skin Neoplasms - pathology Tumors |
title | An analysis of genetic heterogeneity in untreated cancers |
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