Hung-Chang Chen, Nico Mueller, Katherine Stott, Chrysa Kapeni, Eilidh Rivers, Carolin M Sauer, Flavio Beke, Stephen J Walsh, Nicola Ashman, Louise O'Brien, Amir Rafati Fard, Arman Ghodsinia, Changtai Li, Fadwa Joud, Olivier Giger, Inti Zlobec, Ioana Olan, Sarah J Aitken, Matthew Hoare, Richard Mair, Eva Serrao, James D Brenton, Alicia Garcia-Gimenez, Simon E Richardson, Brian Huntly, David R Spring, Mikkel-Ole Skjoedt, Karsten Skjødt, Marc de la Roche, Maike de la Roche
{"title":"针对多种癌症类型的 LGR5 新型免疫疗法。","authors":"Hung-Chang Chen, Nico Mueller, Katherine Stott, Chrysa Kapeni, Eilidh Rivers, Carolin M Sauer, Flavio Beke, Stephen J Walsh, Nicola Ashman, Louise O'Brien, Amir Rafati Fard, Arman Ghodsinia, Changtai Li, Fadwa Joud, Olivier Giger, Inti Zlobec, Ioana Olan, Sarah J Aitken, Matthew Hoare, Richard Mair, Eva Serrao, James D Brenton, Alicia Garcia-Gimenez, Simon E Richardson, Brian Huntly, David R Spring, Mikkel-Ole Skjoedt, Karsten Skjødt, Marc de la Roche, Maike de la Roche","doi":"10.1038/s44321-024-00121-2","DOIUrl":null,"url":null,"abstract":"<p><p>We have developed and validated a highly specific, versatile antibody to the extracellular domain of human LGR5 (α-LGR5). α-LGR5 detects LGR5 overexpression in >90% of colorectal cancer (CRC), hepatocellular carcinoma (HCC) and pre-B-ALL tumour cells and was used to generate an Antibody-Drug Conjugate (α-LGR5-ADC), Bispecific T-cell Engager (α-LGR5-BiTE) and Chimeric Antigen Receptor (α-LGR5-CAR). α-LGR5-ADC was the most effective modality for targeting LGR5<sup>+</sup> cancer cells in vitro and demonstrated potent anti-tumour efficacy in a murine model of human NALM6 pre-B-ALL driving tumour attrition to less than 1% of control treatment. α-LGR5-BiTE treatment was less effective in the pre-B-ALL cancer model yet promoted a twofold reduction in tumour burden. α-LGR5-CAR-T cells also showed specific and potent LGR5<sup>+</sup> cancer cell killing in vitro and effective tumour targeting with a fourfold decrease in pre-B-ALL tumour burden relative to controls. Taken together, we show that α-LGR5 can not only be used as a research tool and a biomarker but also provides a versatile building block for a highly effective immune therapeutic portfolio targeting a range of LGR5-expressing cancer cells.</p>","PeriodicalId":11597,"journal":{"name":"EMBO Molecular Medicine","volume":" ","pages":"2233-2261"},"PeriodicalIF":9.0000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11393416/pdf/","citationCount":"0","resultStr":"{\"title\":\"Novel immunotherapeutics against LGR5 to target multiple cancer types.\",\"authors\":\"Hung-Chang Chen, Nico Mueller, Katherine Stott, Chrysa Kapeni, Eilidh Rivers, Carolin M Sauer, Flavio Beke, Stephen J Walsh, Nicola Ashman, Louise O'Brien, Amir Rafati Fard, Arman Ghodsinia, Changtai Li, Fadwa Joud, Olivier Giger, Inti Zlobec, Ioana Olan, Sarah J Aitken, Matthew Hoare, Richard Mair, Eva Serrao, James D Brenton, Alicia Garcia-Gimenez, Simon E Richardson, Brian Huntly, David R Spring, Mikkel-Ole Skjoedt, Karsten Skjødt, Marc de la Roche, Maike de la Roche\",\"doi\":\"10.1038/s44321-024-00121-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>We have developed and validated a highly specific, versatile antibody to the extracellular domain of human LGR5 (α-LGR5). α-LGR5 detects LGR5 overexpression in >90% of colorectal cancer (CRC), hepatocellular carcinoma (HCC) and pre-B-ALL tumour cells and was used to generate an Antibody-Drug Conjugate (α-LGR5-ADC), Bispecific T-cell Engager (α-LGR5-BiTE) and Chimeric Antigen Receptor (α-LGR5-CAR). α-LGR5-ADC was the most effective modality for targeting LGR5<sup>+</sup> cancer cells in vitro and demonstrated potent anti-tumour efficacy in a murine model of human NALM6 pre-B-ALL driving tumour attrition to less than 1% of control treatment. α-LGR5-BiTE treatment was less effective in the pre-B-ALL cancer model yet promoted a twofold reduction in tumour burden. α-LGR5-CAR-T cells also showed specific and potent LGR5<sup>+</sup> cancer cell killing in vitro and effective tumour targeting with a fourfold decrease in pre-B-ALL tumour burden relative to controls. Taken together, we show that α-LGR5 can not only be used as a research tool and a biomarker but also provides a versatile building block for a highly effective immune therapeutic portfolio targeting a range of LGR5-expressing cancer cells.</p>\",\"PeriodicalId\":11597,\"journal\":{\"name\":\"EMBO Molecular Medicine\",\"volume\":\" \",\"pages\":\"2233-2261\"},\"PeriodicalIF\":9.0000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11393416/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EMBO Molecular Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s44321-024-00121-2\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/8/21 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EMBO Molecular Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s44321-024-00121-2","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/21 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Novel immunotherapeutics against LGR5 to target multiple cancer types.
We have developed and validated a highly specific, versatile antibody to the extracellular domain of human LGR5 (α-LGR5). α-LGR5 detects LGR5 overexpression in >90% of colorectal cancer (CRC), hepatocellular carcinoma (HCC) and pre-B-ALL tumour cells and was used to generate an Antibody-Drug Conjugate (α-LGR5-ADC), Bispecific T-cell Engager (α-LGR5-BiTE) and Chimeric Antigen Receptor (α-LGR5-CAR). α-LGR5-ADC was the most effective modality for targeting LGR5+ cancer cells in vitro and demonstrated potent anti-tumour efficacy in a murine model of human NALM6 pre-B-ALL driving tumour attrition to less than 1% of control treatment. α-LGR5-BiTE treatment was less effective in the pre-B-ALL cancer model yet promoted a twofold reduction in tumour burden. α-LGR5-CAR-T cells also showed specific and potent LGR5+ cancer cell killing in vitro and effective tumour targeting with a fourfold decrease in pre-B-ALL tumour burden relative to controls. Taken together, we show that α-LGR5 can not only be used as a research tool and a biomarker but also provides a versatile building block for a highly effective immune therapeutic portfolio targeting a range of LGR5-expressing cancer cells.
期刊介绍:
EMBO Molecular Medicine is an open access journal in the field of experimental medicine, dedicated to science at the interface between clinical research and basic life sciences. In addition to human data, we welcome original studies performed in cells and/or animals provided they demonstrate human disease relevance.
To enhance and better specify our commitment to precision medicine, we have expanded the scope of EMM and call for contributions in the following fields:
Environmental health and medicine, in particular studies in the field of environmental medicine in its functional and mechanistic aspects (exposome studies, toxicology, biomarkers, modeling, and intervention).
Clinical studies and case reports - Human clinical studies providing decisive clues how to control a given disease (epidemiological, pathophysiological, therapeutic, and vaccine studies). Case reports supporting hypothesis-driven research on the disease.
Biomedical technologies - Studies that present innovative materials, tools, devices, and technologies with direct translational potential and applicability (imaging technologies, drug delivery systems, tissue engineering, and AI)