Unlocking the potential of agonist antibodies for treating cancer using antibody engineering
Agonist antibodies that target immune checkpoints, such as those in the tumor necrosis factor receptor (TNFR) superfamily, are an important class of emerging therapeutics due to their ability to regulate immune cell activity, especially for treating cancer. Despite their potential, to date, they hav...
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Veröffentlicht in: | Trends in molecular medicine 2023-01, Vol.29 (1), p.48-60 |
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description | Agonist antibodies that target immune checkpoints, such as those in the tumor necrosis factor receptor (TNFR) superfamily, are an important class of emerging therapeutics due to their ability to regulate immune cell activity, especially for treating cancer. Despite their potential, to date, they have shown limited clinical utility and further antibody optimization is urgently needed to improve their therapeutic potential. Here, we discuss key antibody engineering approaches for improving the activity of antibody agonists by optimizing their valency, specificity for different receptors (e.g., bispecific antibodies) and epitopes (e.g., biepitopic or biparatopic antibodies), and Fc affinity for Fcγ receptors (FcγRs). These powerful approaches are being used to develop the next generation of cancer immunotherapeutics with improved efficacy and safety.
Agonist antibodies that activate the tumor necrosis factor receptor (TNFR) superfamily on T cells are being broadly pursued for cancer therapy. However, clinical translation is stymied by poor safety and efficacy.Clustering of TNFRs is critical for mediating potent receptor activation and bivalent antibodies have shown limited capacity to mediate receptor clustering on the cell surface. Thus, antibody engineering approaches for improving certain properties (i.e., multivalency and/or biepitopic targeting) are needed to enhance receptor clustering and agonist function.Beyond antigen-binding fragment (Fab) engineering, antibody isotype selection and improving Fcγ receptor interactions are influential in improving antitumor immunity in preclinical studies and clinical trials.Receptor binding epitopes and occupancy levels must also be considered to mediate optimal receptor signaling and antitumor immunity. |
doi_str_mv | 10.1016/j.molmed.2022.09.012 |
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Agonist antibodies that activate the tumor necrosis factor receptor (TNFR) superfamily on T cells are being broadly pursued for cancer therapy. However, clinical translation is stymied by poor safety and efficacy.Clustering of TNFRs is critical for mediating potent receptor activation and bivalent antibodies have shown limited capacity to mediate receptor clustering on the cell surface. Thus, antibody engineering approaches for improving certain properties (i.e., multivalency and/or biepitopic targeting) are needed to enhance receptor clustering and agonist function.Beyond antigen-binding fragment (Fab) engineering, antibody isotype selection and improving Fcγ receptor interactions are influential in improving antitumor immunity in preclinical studies and clinical trials.Receptor binding epitopes and occupancy levels must also be considered to mediate optimal receptor signaling and antitumor immunity.</description><identifier>ISSN: 1471-4914</identifier><identifier>EISSN: 1471-499X</identifier><identifier>DOI: 10.1016/j.molmed.2022.09.012</identifier><identifier>PMID: 36344331</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>4-1BB ; CD137 ; CD40 ; Epitopes - therapeutic use ; Humans ; Immunotherapy ; monoclonal antibody ; Neoplasms - drug therapy ; Neoplasms - pathology ; OX40</subject><ispartof>Trends in molecular medicine, 2023-01, Vol.29 (1), p.48-60</ispartof><rights>2022 Elsevier Ltd</rights><rights>Copyright © 2022 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c463t-3b7a25ad2e5942cf3c3778727421f9c2d0a228dcfe5b491bc2861de469f29f133</citedby><cites>FETCH-LOGICAL-c463t-3b7a25ad2e5942cf3c3778727421f9c2d0a228dcfe5b491bc2861de469f29f133</cites><orcidid>0000-0002-3220-007X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S147149142200260X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36344331$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jhajj, Harkamal S.</creatorcontrib><creatorcontrib>Lwo, Timon S.</creatorcontrib><creatorcontrib>Yao, Emily L.</creatorcontrib><creatorcontrib>Tessier, Peter M.</creatorcontrib><title>Unlocking the potential of agonist antibodies for treating cancer using antibody engineering</title><title>Trends in molecular medicine</title><addtitle>Trends Mol Med</addtitle><description>Agonist antibodies that target immune checkpoints, such as those in the tumor necrosis factor receptor (TNFR) superfamily, are an important class of emerging therapeutics due to their ability to regulate immune cell activity, especially for treating cancer. Despite their potential, to date, they have shown limited clinical utility and further antibody optimization is urgently needed to improve their therapeutic potential. Here, we discuss key antibody engineering approaches for improving the activity of antibody agonists by optimizing their valency, specificity for different receptors (e.g., bispecific antibodies) and epitopes (e.g., biepitopic or biparatopic antibodies), and Fc affinity for Fcγ receptors (FcγRs). These powerful approaches are being used to develop the next generation of cancer immunotherapeutics with improved efficacy and safety.
Agonist antibodies that activate the tumor necrosis factor receptor (TNFR) superfamily on T cells are being broadly pursued for cancer therapy. However, clinical translation is stymied by poor safety and efficacy.Clustering of TNFRs is critical for mediating potent receptor activation and bivalent antibodies have shown limited capacity to mediate receptor clustering on the cell surface. Thus, antibody engineering approaches for improving certain properties (i.e., multivalency and/or biepitopic targeting) are needed to enhance receptor clustering and agonist function.Beyond antigen-binding fragment (Fab) engineering, antibody isotype selection and improving Fcγ receptor interactions are influential in improving antitumor immunity in preclinical studies and clinical trials.Receptor binding epitopes and occupancy levels must also be considered to mediate optimal receptor signaling and antitumor immunity.</description><subject>4-1BB</subject><subject>CD137</subject><subject>CD40</subject><subject>Epitopes - therapeutic use</subject><subject>Humans</subject><subject>Immunotherapy</subject><subject>monoclonal antibody</subject><subject>Neoplasms - drug therapy</subject><subject>Neoplasms - pathology</subject><subject>OX40</subject><issn>1471-4914</issn><issn>1471-499X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9UctKAzEUDaL4_gORLN10zKszzUYQ8QWCGwUXQshkbmrqNKlJWvDvTWmtunGV5Oacc-89B6ETSipKaH0-qaahn0JXMcJYRWRFKNtC-1Q0dCCkfNne3KnYQwcpTQihw6YZ7aI9XnMhOKf76PXZ98G8Oz_G-Q3wLGTw2ekeB4v1OHiXMtal0obOQcI2RJwj6LwkGO0NRDxPy8ca9InBj50HiKV4hHas7hMcr89D9Hxz_XR1N3h4vL2_unwYGFHzPOBto9lQdwyGUjBjueFlzIY1glErDeuIZmzUGQvDtmzTGjaqaQeilpZJSzk_RBcr3dm8LY6YskLUvZpFN9XxUwXt1N8f797UOCyULC04a4rA2Vogho85pKymLhnoe-0hzJMqEEHrhnNZoGIFNTGkFMFu2lCilsGoiVoFo5bBKCJVCabQTn-PuCF9J_GzAxSjFg6iSsZBMbhzEUxWXXD_d_gClsqjtA</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Jhajj, Harkamal S.</creator><creator>Lwo, Timon S.</creator><creator>Yao, Emily L.</creator><creator>Tessier, Peter M.</creator><general>Elsevier Ltd</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/0000-0002-3220-007X</orcidid></search><sort><creationdate>20230101</creationdate><title>Unlocking the potential of agonist antibodies for treating cancer using antibody engineering</title><author>Jhajj, Harkamal S. ; Lwo, Timon S. ; Yao, Emily L. ; Tessier, Peter M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c463t-3b7a25ad2e5942cf3c3778727421f9c2d0a228dcfe5b491bc2861de469f29f133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>4-1BB</topic><topic>CD137</topic><topic>CD40</topic><topic>Epitopes - therapeutic use</topic><topic>Humans</topic><topic>Immunotherapy</topic><topic>monoclonal antibody</topic><topic>Neoplasms - drug therapy</topic><topic>Neoplasms - pathology</topic><topic>OX40</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jhajj, Harkamal S.</creatorcontrib><creatorcontrib>Lwo, Timon S.</creatorcontrib><creatorcontrib>Yao, Emily L.</creatorcontrib><creatorcontrib>Tessier, Peter M.</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>Trends in molecular medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jhajj, Harkamal S.</au><au>Lwo, Timon S.</au><au>Yao, Emily L.</au><au>Tessier, Peter M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Unlocking the potential of agonist antibodies for treating cancer using antibody engineering</atitle><jtitle>Trends in molecular medicine</jtitle><addtitle>Trends Mol Med</addtitle><date>2023-01-01</date><risdate>2023</risdate><volume>29</volume><issue>1</issue><spage>48</spage><epage>60</epage><pages>48-60</pages><issn>1471-4914</issn><eissn>1471-499X</eissn><abstract>Agonist antibodies that target immune checkpoints, such as those in the tumor necrosis factor receptor (TNFR) superfamily, are an important class of emerging therapeutics due to their ability to regulate immune cell activity, especially for treating cancer. Despite their potential, to date, they have shown limited clinical utility and further antibody optimization is urgently needed to improve their therapeutic potential. Here, we discuss key antibody engineering approaches for improving the activity of antibody agonists by optimizing their valency, specificity for different receptors (e.g., bispecific antibodies) and epitopes (e.g., biepitopic or biparatopic antibodies), and Fc affinity for Fcγ receptors (FcγRs). These powerful approaches are being used to develop the next generation of cancer immunotherapeutics with improved efficacy and safety.
Agonist antibodies that activate the tumor necrosis factor receptor (TNFR) superfamily on T cells are being broadly pursued for cancer therapy. However, clinical translation is stymied by poor safety and efficacy.Clustering of TNFRs is critical for mediating potent receptor activation and bivalent antibodies have shown limited capacity to mediate receptor clustering on the cell surface. Thus, antibody engineering approaches for improving certain properties (i.e., multivalency and/or biepitopic targeting) are needed to enhance receptor clustering and agonist function.Beyond antigen-binding fragment (Fab) engineering, antibody isotype selection and improving Fcγ receptor interactions are influential in improving antitumor immunity in preclinical studies and clinical trials.Receptor binding epitopes and occupancy levels must also be considered to mediate optimal receptor signaling and antitumor immunity.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>36344331</pmid><doi>10.1016/j.molmed.2022.09.012</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-3220-007X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 4-1BB CD137 CD40 Epitopes - therapeutic use Humans Immunotherapy monoclonal antibody Neoplasms - drug therapy Neoplasms - pathology OX40 |
title | Unlocking the potential of agonist antibodies for treating cancer using antibody engineering |
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