Computational and Functional Analyses of HER2 Mutations Reveal Allosteric Activation Mechanisms and Altered Pharmacologic Effects

Amplification of HER2 can drive the proliferation of cancer cells, and several inhibitors of HER2 have been successfully developed. Recent advances in next-generation sequencing now reveal that HER2 is subject to mutation, with over 2,000 unique variants observed in human cancers. Several examples o...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Cancer research (Chicago, Ill.) Ill.), 2023-05, Vol.83 (9), p.1531-1542
Hauptverfasser: Ishiyama, Noboru, O'Connor, Matthew, Salomatov, Andrei, Romashko, Darlene, Thakur, Shalabh, Mentes, Ahmet, Hopkins, Julia F, Frampton, Garrett M, Albacker, Lee A, Kohlmann, Anna, Roberts, Christopher, Buck, Elizabeth
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1542
container_issue 9
container_start_page 1531
container_title Cancer research (Chicago, Ill.)
container_volume 83
creator Ishiyama, Noboru
O'Connor, Matthew
Salomatov, Andrei
Romashko, Darlene
Thakur, Shalabh
Mentes, Ahmet
Hopkins, Julia F
Frampton, Garrett M
Albacker, Lee A
Kohlmann, Anna
Roberts, Christopher
Buck, Elizabeth
description Amplification of HER2 can drive the proliferation of cancer cells, and several inhibitors of HER2 have been successfully developed. Recent advances in next-generation sequencing now reveal that HER2 is subject to mutation, with over 2,000 unique variants observed in human cancers. Several examples of oncogenic HER2 mutations have been described, and these primarily occur at allosteric sites outside the ATP-binding site. To identify the full spectrum of oncogenic HER2 driver mutations aside from a few well-studied mutations, we developed mutation-allostery-pharmacology (MAP), an in silico prediction algorithm based on machine learning. By applying this computational approach to 820 single-nucleotide variants, a list of 222 known and potential driver mutations was produced. Of these 222 mutations, 111 were screened by Ba/F3-retrovirus proliferation assays; 37 HER2 mutations were experimentally determined to be driver mutations, comprising 15 previously characterized and 22 newly identified oncogenic mutations. These oncogenic mutations mostly affected allosteric sites in the extracellular domain (ECD), transmembrane domain, and kinase domain of HER2, with only a single mutation in the HER2 orthosteric ATP site. Covalent homodimerization was established as a common mechanism of activation among HER2 ECD allosteric mutations, including the most prevalent HER2 mutation, S310F. Furthermore, HER2 allosteric mutants with enhanced covalent homodimerization were characterized by altered pharmacology that reduces the activity of existing anti-HER2 agents, including the mAb trastuzumab and the tyrosine kinase inhibitor lapatinib. Overall, the MAP-scoring and functional validation analyses provided new insights into the oncogenic activity and therapeutic targeting of HER2 mutations in cancer. This study identified new oncogenic HER2 allosteric mutations, including ECD mutations that share covalent dimerization as a mechanism of oncogenicity, suggesting the need for novel inhibitors to treat HER2-mutant cancers.
doi_str_mv 10.1158/0008-5472.CAN-21-0940
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10152233</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2659230923</sourcerecordid><originalsourceid>FETCH-LOGICAL-c412t-d6c8f27936c45eec2683ddda986b21d3794786cf7510d76f44e64cb5d44a74f73</originalsourceid><addsrcrecordid>eNpVkc1u1DAURi0EokPhEUBesknrfycrFI2mFKkFVMHa8tjXnSAnHuJkpC55c5x2GJWFbV3dcz_bOgi9p-SCUllfEkLqSgrNLtbt14rRijSCvEArKnldaSHkS7Q6MWfoTc6_Sikpka_RGZeScFWzFfqzTv1-nuzUpcFGbAePr-bBHcu2bA8ZMk4BX2_uGL49ohnfwQEWIsaUJxg7h9sydXjs4ltwOzt0uc-PiW0sBHj8fWfH3roU033hNyGAm_Jb9CrYmOHd8TxHP682P9bX1c23z1_W7U3lBGVT5ZWrA9MNV05IAMdUzb33tqnVllHPdSN0rVzQ5YteqyAEKOG20gthtQian6NPT7n7eduDdzBMo41mP3a9HR9Msp35vzN0O3OfDoYSKhnjvCR8PCaM6fcMeTJ9lx3EaAdIczZMyYZxUlZB5RPqxpTzCOF0DyVm8WcWN2ZxY4o_w6hZ_JW5D88feZr6J4z_BUKXmUg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2659230923</pqid></control><display><type>article</type><title>Computational and Functional Analyses of HER2 Mutations Reveal Allosteric Activation Mechanisms and Altered Pharmacologic Effects</title><source>MEDLINE</source><source>American Association for Cancer Research</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Ishiyama, Noboru ; O'Connor, Matthew ; Salomatov, Andrei ; Romashko, Darlene ; Thakur, Shalabh ; Mentes, Ahmet ; Hopkins, Julia F ; Frampton, Garrett M ; Albacker, Lee A ; Kohlmann, Anna ; Roberts, Christopher ; Buck, Elizabeth</creator><creatorcontrib>Ishiyama, Noboru ; O'Connor, Matthew ; Salomatov, Andrei ; Romashko, Darlene ; Thakur, Shalabh ; Mentes, Ahmet ; Hopkins, Julia F ; Frampton, Garrett M ; Albacker, Lee A ; Kohlmann, Anna ; Roberts, Christopher ; Buck, Elizabeth</creatorcontrib><description>Amplification of HER2 can drive the proliferation of cancer cells, and several inhibitors of HER2 have been successfully developed. Recent advances in next-generation sequencing now reveal that HER2 is subject to mutation, with over 2,000 unique variants observed in human cancers. Several examples of oncogenic HER2 mutations have been described, and these primarily occur at allosteric sites outside the ATP-binding site. To identify the full spectrum of oncogenic HER2 driver mutations aside from a few well-studied mutations, we developed mutation-allostery-pharmacology (MAP), an in silico prediction algorithm based on machine learning. By applying this computational approach to 820 single-nucleotide variants, a list of 222 known and potential driver mutations was produced. Of these 222 mutations, 111 were screened by Ba/F3-retrovirus proliferation assays; 37 HER2 mutations were experimentally determined to be driver mutations, comprising 15 previously characterized and 22 newly identified oncogenic mutations. These oncogenic mutations mostly affected allosteric sites in the extracellular domain (ECD), transmembrane domain, and kinase domain of HER2, with only a single mutation in the HER2 orthosteric ATP site. Covalent homodimerization was established as a common mechanism of activation among HER2 ECD allosteric mutations, including the most prevalent HER2 mutation, S310F. Furthermore, HER2 allosteric mutants with enhanced covalent homodimerization were characterized by altered pharmacology that reduces the activity of existing anti-HER2 agents, including the mAb trastuzumab and the tyrosine kinase inhibitor lapatinib. Overall, the MAP-scoring and functional validation analyses provided new insights into the oncogenic activity and therapeutic targeting of HER2 mutations in cancer. This study identified new oncogenic HER2 allosteric mutations, including ECD mutations that share covalent dimerization as a mechanism of oncogenicity, suggesting the need for novel inhibitors to treat HER2-mutant cancers.</description><identifier>ISSN: 0008-5472</identifier><identifier>EISSN: 1538-7445</identifier><identifier>DOI: 10.1158/0008-5472.CAN-21-0940</identifier><identifier>PMID: 35503682</identifier><language>eng</language><publisher>United States: American Association for Cancer Research</publisher><subject>Adenosine Triphosphate ; Allosteric Regulation ; Computational Cancer Biology and Technology ; Humans ; Mutation ; Neoplasms - genetics ; Protein Kinase Inhibitors - pharmacology ; Quinazolines - pharmacology ; Receptor, ErbB-2 - metabolism</subject><ispartof>Cancer research (Chicago, Ill.), 2023-05, Vol.83 (9), p.1531-1542</ispartof><rights>2022 The Authors; Published by the American Association for Cancer Research.</rights><rights>2022 The Authors; Published by the American Association for Cancer Research 2022 American Association for Cancer Research</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c412t-d6c8f27936c45eec2683ddda986b21d3794786cf7510d76f44e64cb5d44a74f73</citedby><cites>FETCH-LOGICAL-c412t-d6c8f27936c45eec2683ddda986b21d3794786cf7510d76f44e64cb5d44a74f73</cites><orcidid>0000-0002-0252-4436 ; 0000-0002-2361-2750 ; 0000-0002-6022-1871 ; 0000-0003-1303-654X ; 0000-0002-5070-1783</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,3356,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35503682$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ishiyama, Noboru</creatorcontrib><creatorcontrib>O'Connor, Matthew</creatorcontrib><creatorcontrib>Salomatov, Andrei</creatorcontrib><creatorcontrib>Romashko, Darlene</creatorcontrib><creatorcontrib>Thakur, Shalabh</creatorcontrib><creatorcontrib>Mentes, Ahmet</creatorcontrib><creatorcontrib>Hopkins, Julia F</creatorcontrib><creatorcontrib>Frampton, Garrett M</creatorcontrib><creatorcontrib>Albacker, Lee A</creatorcontrib><creatorcontrib>Kohlmann, Anna</creatorcontrib><creatorcontrib>Roberts, Christopher</creatorcontrib><creatorcontrib>Buck, Elizabeth</creatorcontrib><title>Computational and Functional Analyses of HER2 Mutations Reveal Allosteric Activation Mechanisms and Altered Pharmacologic Effects</title><title>Cancer research (Chicago, Ill.)</title><addtitle>Cancer Res</addtitle><description>Amplification of HER2 can drive the proliferation of cancer cells, and several inhibitors of HER2 have been successfully developed. Recent advances in next-generation sequencing now reveal that HER2 is subject to mutation, with over 2,000 unique variants observed in human cancers. Several examples of oncogenic HER2 mutations have been described, and these primarily occur at allosteric sites outside the ATP-binding site. To identify the full spectrum of oncogenic HER2 driver mutations aside from a few well-studied mutations, we developed mutation-allostery-pharmacology (MAP), an in silico prediction algorithm based on machine learning. By applying this computational approach to 820 single-nucleotide variants, a list of 222 known and potential driver mutations was produced. Of these 222 mutations, 111 were screened by Ba/F3-retrovirus proliferation assays; 37 HER2 mutations were experimentally determined to be driver mutations, comprising 15 previously characterized and 22 newly identified oncogenic mutations. These oncogenic mutations mostly affected allosteric sites in the extracellular domain (ECD), transmembrane domain, and kinase domain of HER2, with only a single mutation in the HER2 orthosteric ATP site. Covalent homodimerization was established as a common mechanism of activation among HER2 ECD allosteric mutations, including the most prevalent HER2 mutation, S310F. Furthermore, HER2 allosteric mutants with enhanced covalent homodimerization were characterized by altered pharmacology that reduces the activity of existing anti-HER2 agents, including the mAb trastuzumab and the tyrosine kinase inhibitor lapatinib. Overall, the MAP-scoring and functional validation analyses provided new insights into the oncogenic activity and therapeutic targeting of HER2 mutations in cancer. This study identified new oncogenic HER2 allosteric mutations, including ECD mutations that share covalent dimerization as a mechanism of oncogenicity, suggesting the need for novel inhibitors to treat HER2-mutant cancers.</description><subject>Adenosine Triphosphate</subject><subject>Allosteric Regulation</subject><subject>Computational Cancer Biology and Technology</subject><subject>Humans</subject><subject>Mutation</subject><subject>Neoplasms - genetics</subject><subject>Protein Kinase Inhibitors - pharmacology</subject><subject>Quinazolines - pharmacology</subject><subject>Receptor, ErbB-2 - metabolism</subject><issn>0008-5472</issn><issn>1538-7445</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkc1u1DAURi0EokPhEUBesknrfycrFI2mFKkFVMHa8tjXnSAnHuJkpC55c5x2GJWFbV3dcz_bOgi9p-SCUllfEkLqSgrNLtbt14rRijSCvEArKnldaSHkS7Q6MWfoTc6_Sikpka_RGZeScFWzFfqzTv1-nuzUpcFGbAePr-bBHcu2bA8ZMk4BX2_uGL49ohnfwQEWIsaUJxg7h9sydXjs4ltwOzt0uc-PiW0sBHj8fWfH3roU033hNyGAm_Jb9CrYmOHd8TxHP682P9bX1c23z1_W7U3lBGVT5ZWrA9MNV05IAMdUzb33tqnVllHPdSN0rVzQ5YteqyAEKOG20gthtQian6NPT7n7eduDdzBMo41mP3a9HR9Msp35vzN0O3OfDoYSKhnjvCR8PCaM6fcMeTJ9lx3EaAdIczZMyYZxUlZB5RPqxpTzCOF0DyVm8WcWN2ZxY4o_w6hZ_JW5D88feZr6J4z_BUKXmUg</recordid><startdate>20230502</startdate><enddate>20230502</enddate><creator>Ishiyama, Noboru</creator><creator>O'Connor, Matthew</creator><creator>Salomatov, Andrei</creator><creator>Romashko, Darlene</creator><creator>Thakur, Shalabh</creator><creator>Mentes, Ahmet</creator><creator>Hopkins, Julia F</creator><creator>Frampton, Garrett M</creator><creator>Albacker, Lee A</creator><creator>Kohlmann, Anna</creator><creator>Roberts, Christopher</creator><creator>Buck, Elizabeth</creator><general>American Association for Cancer Research</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>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0252-4436</orcidid><orcidid>https://orcid.org/0000-0002-2361-2750</orcidid><orcidid>https://orcid.org/0000-0002-6022-1871</orcidid><orcidid>https://orcid.org/0000-0003-1303-654X</orcidid><orcidid>https://orcid.org/0000-0002-5070-1783</orcidid></search><sort><creationdate>20230502</creationdate><title>Computational and Functional Analyses of HER2 Mutations Reveal Allosteric Activation Mechanisms and Altered Pharmacologic Effects</title><author>Ishiyama, Noboru ; O'Connor, Matthew ; Salomatov, Andrei ; Romashko, Darlene ; Thakur, Shalabh ; Mentes, Ahmet ; Hopkins, Julia F ; Frampton, Garrett M ; Albacker, Lee A ; Kohlmann, Anna ; Roberts, Christopher ; Buck, Elizabeth</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-d6c8f27936c45eec2683ddda986b21d3794786cf7510d76f44e64cb5d44a74f73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adenosine Triphosphate</topic><topic>Allosteric Regulation</topic><topic>Computational Cancer Biology and Technology</topic><topic>Humans</topic><topic>Mutation</topic><topic>Neoplasms - genetics</topic><topic>Protein Kinase Inhibitors - pharmacology</topic><topic>Quinazolines - pharmacology</topic><topic>Receptor, ErbB-2 - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ishiyama, Noboru</creatorcontrib><creatorcontrib>O'Connor, Matthew</creatorcontrib><creatorcontrib>Salomatov, Andrei</creatorcontrib><creatorcontrib>Romashko, Darlene</creatorcontrib><creatorcontrib>Thakur, Shalabh</creatorcontrib><creatorcontrib>Mentes, Ahmet</creatorcontrib><creatorcontrib>Hopkins, Julia F</creatorcontrib><creatorcontrib>Frampton, Garrett M</creatorcontrib><creatorcontrib>Albacker, Lee A</creatorcontrib><creatorcontrib>Kohlmann, Anna</creatorcontrib><creatorcontrib>Roberts, Christopher</creatorcontrib><creatorcontrib>Buck, Elizabeth</creatorcontrib><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>Cancer research (Chicago, Ill.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ishiyama, Noboru</au><au>O'Connor, Matthew</au><au>Salomatov, Andrei</au><au>Romashko, Darlene</au><au>Thakur, Shalabh</au><au>Mentes, Ahmet</au><au>Hopkins, Julia F</au><au>Frampton, Garrett M</au><au>Albacker, Lee A</au><au>Kohlmann, Anna</au><au>Roberts, Christopher</au><au>Buck, Elizabeth</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computational and Functional Analyses of HER2 Mutations Reveal Allosteric Activation Mechanisms and Altered Pharmacologic Effects</atitle><jtitle>Cancer research (Chicago, Ill.)</jtitle><addtitle>Cancer Res</addtitle><date>2023-05-02</date><risdate>2023</risdate><volume>83</volume><issue>9</issue><spage>1531</spage><epage>1542</epage><pages>1531-1542</pages><issn>0008-5472</issn><eissn>1538-7445</eissn><abstract>Amplification of HER2 can drive the proliferation of cancer cells, and several inhibitors of HER2 have been successfully developed. Recent advances in next-generation sequencing now reveal that HER2 is subject to mutation, with over 2,000 unique variants observed in human cancers. Several examples of oncogenic HER2 mutations have been described, and these primarily occur at allosteric sites outside the ATP-binding site. To identify the full spectrum of oncogenic HER2 driver mutations aside from a few well-studied mutations, we developed mutation-allostery-pharmacology (MAP), an in silico prediction algorithm based on machine learning. By applying this computational approach to 820 single-nucleotide variants, a list of 222 known and potential driver mutations was produced. Of these 222 mutations, 111 were screened by Ba/F3-retrovirus proliferation assays; 37 HER2 mutations were experimentally determined to be driver mutations, comprising 15 previously characterized and 22 newly identified oncogenic mutations. These oncogenic mutations mostly affected allosteric sites in the extracellular domain (ECD), transmembrane domain, and kinase domain of HER2, with only a single mutation in the HER2 orthosteric ATP site. Covalent homodimerization was established as a common mechanism of activation among HER2 ECD allosteric mutations, including the most prevalent HER2 mutation, S310F. Furthermore, HER2 allosteric mutants with enhanced covalent homodimerization were characterized by altered pharmacology that reduces the activity of existing anti-HER2 agents, including the mAb trastuzumab and the tyrosine kinase inhibitor lapatinib. Overall, the MAP-scoring and functional validation analyses provided new insights into the oncogenic activity and therapeutic targeting of HER2 mutations in cancer. This study identified new oncogenic HER2 allosteric mutations, including ECD mutations that share covalent dimerization as a mechanism of oncogenicity, suggesting the need for novel inhibitors to treat HER2-mutant cancers.</abstract><cop>United States</cop><pub>American Association for Cancer Research</pub><pmid>35503682</pmid><doi>10.1158/0008-5472.CAN-21-0940</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-0252-4436</orcidid><orcidid>https://orcid.org/0000-0002-2361-2750</orcidid><orcidid>https://orcid.org/0000-0002-6022-1871</orcidid><orcidid>https://orcid.org/0000-0003-1303-654X</orcidid><orcidid>https://orcid.org/0000-0002-5070-1783</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0008-5472
ispartof Cancer research (Chicago, Ill.), 2023-05, Vol.83 (9), p.1531-1542
issn 0008-5472
1538-7445
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10152233
source MEDLINE; American Association for Cancer Research; EZB-FREE-00999 freely available EZB journals
subjects Adenosine Triphosphate
Allosteric Regulation
Computational Cancer Biology and Technology
Humans
Mutation
Neoplasms - genetics
Protein Kinase Inhibitors - pharmacology
Quinazolines - pharmacology
Receptor, ErbB-2 - metabolism
title Computational and Functional Analyses of HER2 Mutations Reveal Allosteric Activation Mechanisms and Altered Pharmacologic Effects
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T04%3A05%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Computational%20and%20Functional%20Analyses%20of%20HER2%20Mutations%20Reveal%20Allosteric%20Activation%20Mechanisms%20and%20Altered%20Pharmacologic%20Effects&rft.jtitle=Cancer%20research%20(Chicago,%20Ill.)&rft.au=Ishiyama,%20Noboru&rft.date=2023-05-02&rft.volume=83&rft.issue=9&rft.spage=1531&rft.epage=1542&rft.pages=1531-1542&rft.issn=0008-5472&rft.eissn=1538-7445&rft_id=info:doi/10.1158/0008-5472.CAN-21-0940&rft_dat=%3Cproquest_pubme%3E2659230923%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2659230923&rft_id=info:pmid/35503682&rfr_iscdi=true