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Preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma

The historical lack of preclinical models reflecting the genetic heterogeneity of multiple myeloma (MM) hampers the advance of therapeutic discoveries. To circumvent this limitation, we screened mice engineered to carry eight MM lesions (NF-κB, KRAS, MYC, TP53, BCL2, cyclin D1, MMSET/NSD2 and c-MAF)...

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Autores principales: Larrayoz, Marta, Garcia-Barchino, Maria J., Celay, Jon, Etxebeste, Amaia, Jimenez, Maddalen, Perez, Cristina, Ordoñez, Raquel, Cobaleda, Cesar, Botta, Cirino, Fresquet, Vicente, Roa, Sergio, Goicoechea, Ibai, Maia, Catarina, Lasaga, Miren, Chesi, Marta, Bergsagel, P. Leif, Larrayoz, Maria J., Calasanz, Maria J., Campos-Sanchez, Elena, Martinez-Cano, Jorge, Panizo, Carlos, Rodriguez-Otero, Paula, Vicent, Silvestre, Roncador, Giovanna, Gonzalez, Patricia, Takahashi, Satoru, Katz, Samuel G., Walensky, Loren D., Ruppert, Shannon M., Lasater, Elisabeth A., Amann, Maria, Lozano, Teresa, Llopiz, Diana, Sarobe, Pablo, Lasarte, Juan J., Planell, Nuria, Gomez-Cabrero, David, Kudryashova, Olga, Kurilovich, Anna, Revuelta, Maria V., Cerchietti, Leandro, Agirre, Xabier, San Miguel, Jesus, Paiva, Bruno, Prosper, Felipe, Martinez-Climent, Jose A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033443/
https://www.ncbi.nlm.nih.gov/pubmed/36928817
http://dx.doi.org/10.1038/s41591-022-02178-3
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author Larrayoz, Marta
Garcia-Barchino, Maria J.
Celay, Jon
Etxebeste, Amaia
Jimenez, Maddalen
Perez, Cristina
Ordoñez, Raquel
Cobaleda, Cesar
Botta, Cirino
Fresquet, Vicente
Roa, Sergio
Goicoechea, Ibai
Maia, Catarina
Lasaga, Miren
Chesi, Marta
Bergsagel, P. Leif
Larrayoz, Maria J.
Calasanz, Maria J.
Campos-Sanchez, Elena
Martinez-Cano, Jorge
Panizo, Carlos
Rodriguez-Otero, Paula
Vicent, Silvestre
Roncador, Giovanna
Gonzalez, Patricia
Takahashi, Satoru
Katz, Samuel G.
Walensky, Loren D.
Ruppert, Shannon M.
Lasater, Elisabeth A.
Amann, Maria
Lozano, Teresa
Llopiz, Diana
Sarobe, Pablo
Lasarte, Juan J.
Planell, Nuria
Gomez-Cabrero, David
Kudryashova, Olga
Kurilovich, Anna
Revuelta, Maria V.
Cerchietti, Leandro
Agirre, Xabier
San Miguel, Jesus
Paiva, Bruno
Prosper, Felipe
Martinez-Climent, Jose A.
author_facet Larrayoz, Marta
Garcia-Barchino, Maria J.
Celay, Jon
Etxebeste, Amaia
Jimenez, Maddalen
Perez, Cristina
Ordoñez, Raquel
Cobaleda, Cesar
Botta, Cirino
Fresquet, Vicente
Roa, Sergio
Goicoechea, Ibai
Maia, Catarina
Lasaga, Miren
Chesi, Marta
Bergsagel, P. Leif
Larrayoz, Maria J.
Calasanz, Maria J.
Campos-Sanchez, Elena
Martinez-Cano, Jorge
Panizo, Carlos
Rodriguez-Otero, Paula
Vicent, Silvestre
Roncador, Giovanna
Gonzalez, Patricia
Takahashi, Satoru
Katz, Samuel G.
Walensky, Loren D.
Ruppert, Shannon M.
Lasater, Elisabeth A.
Amann, Maria
Lozano, Teresa
Llopiz, Diana
Sarobe, Pablo
Lasarte, Juan J.
Planell, Nuria
Gomez-Cabrero, David
Kudryashova, Olga
Kurilovich, Anna
Revuelta, Maria V.
Cerchietti, Leandro
Agirre, Xabier
San Miguel, Jesus
Paiva, Bruno
Prosper, Felipe
Martinez-Climent, Jose A.
author_sort Larrayoz, Marta
collection PubMed
description The historical lack of preclinical models reflecting the genetic heterogeneity of multiple myeloma (MM) hampers the advance of therapeutic discoveries. To circumvent this limitation, we screened mice engineered to carry eight MM lesions (NF-κB, KRAS, MYC, TP53, BCL2, cyclin D1, MMSET/NSD2 and c-MAF) combinatorially activated in B lymphocytes following T cell-driven immunization. Fifteen genetically diverse models developed bone marrow (BM) tumors fulfilling MM pathogenesis. Integrative analyses of ∼500 mice and ∼1,000 patients revealed a common MAPK–MYC genetic pathway that accelerated time to progression from precursor states across genetically heterogeneous MM. MYC-dependent time to progression conditioned immune evasion mechanisms that remodeled the BM microenvironment differently. Rapid MYC-driven progressors exhibited a high number of activated/exhausted CD8(+) T cells with reduced immunosuppressive regulatory T (T(reg)) cells, while late MYC acquisition in slow progressors was associated with lower CD8(+) T cell infiltration and more abundant T(reg) cells. Single-cell transcriptomics and functional assays defined a high ratio of CD8(+) T cells versus T(reg) cells as a predictor of response to immune checkpoint blockade (ICB). In clinical series, high CD8(+) T/T(reg) cell ratios underlie early progression in untreated smoldering MM, and correlated with early relapse in newly diagnosed patients with MM under Len/Dex therapy. In ICB-refractory MM models, increasing CD8(+) T cell cytotoxicity or depleting T(reg) cells reversed immunotherapy resistance and yielded prolonged MM control. Our experimental models enable the correlation of MM genetic and immunological traits with preclinical therapy responses, which may inform the next-generation immunotherapy trials.
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spelling pubmed-100334432023-03-24 Preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma Larrayoz, Marta Garcia-Barchino, Maria J. Celay, Jon Etxebeste, Amaia Jimenez, Maddalen Perez, Cristina Ordoñez, Raquel Cobaleda, Cesar Botta, Cirino Fresquet, Vicente Roa, Sergio Goicoechea, Ibai Maia, Catarina Lasaga, Miren Chesi, Marta Bergsagel, P. Leif Larrayoz, Maria J. Calasanz, Maria J. Campos-Sanchez, Elena Martinez-Cano, Jorge Panizo, Carlos Rodriguez-Otero, Paula Vicent, Silvestre Roncador, Giovanna Gonzalez, Patricia Takahashi, Satoru Katz, Samuel G. Walensky, Loren D. Ruppert, Shannon M. Lasater, Elisabeth A. Amann, Maria Lozano, Teresa Llopiz, Diana Sarobe, Pablo Lasarte, Juan J. Planell, Nuria Gomez-Cabrero, David Kudryashova, Olga Kurilovich, Anna Revuelta, Maria V. Cerchietti, Leandro Agirre, Xabier San Miguel, Jesus Paiva, Bruno Prosper, Felipe Martinez-Climent, Jose A. Nat Med Article The historical lack of preclinical models reflecting the genetic heterogeneity of multiple myeloma (MM) hampers the advance of therapeutic discoveries. To circumvent this limitation, we screened mice engineered to carry eight MM lesions (NF-κB, KRAS, MYC, TP53, BCL2, cyclin D1, MMSET/NSD2 and c-MAF) combinatorially activated in B lymphocytes following T cell-driven immunization. Fifteen genetically diverse models developed bone marrow (BM) tumors fulfilling MM pathogenesis. Integrative analyses of ∼500 mice and ∼1,000 patients revealed a common MAPK–MYC genetic pathway that accelerated time to progression from precursor states across genetically heterogeneous MM. MYC-dependent time to progression conditioned immune evasion mechanisms that remodeled the BM microenvironment differently. Rapid MYC-driven progressors exhibited a high number of activated/exhausted CD8(+) T cells with reduced immunosuppressive regulatory T (T(reg)) cells, while late MYC acquisition in slow progressors was associated with lower CD8(+) T cell infiltration and more abundant T(reg) cells. Single-cell transcriptomics and functional assays defined a high ratio of CD8(+) T cells versus T(reg) cells as a predictor of response to immune checkpoint blockade (ICB). In clinical series, high CD8(+) T/T(reg) cell ratios underlie early progression in untreated smoldering MM, and correlated with early relapse in newly diagnosed patients with MM under Len/Dex therapy. In ICB-refractory MM models, increasing CD8(+) T cell cytotoxicity or depleting T(reg) cells reversed immunotherapy resistance and yielded prolonged MM control. Our experimental models enable the correlation of MM genetic and immunological traits with preclinical therapy responses, which may inform the next-generation immunotherapy trials. Nature Publishing Group US 2023-03-16 2023 /pmc/articles/PMC10033443/ /pubmed/36928817 http://dx.doi.org/10.1038/s41591-022-02178-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Larrayoz, Marta
Garcia-Barchino, Maria J.
Celay, Jon
Etxebeste, Amaia
Jimenez, Maddalen
Perez, Cristina
Ordoñez, Raquel
Cobaleda, Cesar
Botta, Cirino
Fresquet, Vicente
Roa, Sergio
Goicoechea, Ibai
Maia, Catarina
Lasaga, Miren
Chesi, Marta
Bergsagel, P. Leif
Larrayoz, Maria J.
Calasanz, Maria J.
Campos-Sanchez, Elena
Martinez-Cano, Jorge
Panizo, Carlos
Rodriguez-Otero, Paula
Vicent, Silvestre
Roncador, Giovanna
Gonzalez, Patricia
Takahashi, Satoru
Katz, Samuel G.
Walensky, Loren D.
Ruppert, Shannon M.
Lasater, Elisabeth A.
Amann, Maria
Lozano, Teresa
Llopiz, Diana
Sarobe, Pablo
Lasarte, Juan J.
Planell, Nuria
Gomez-Cabrero, David
Kudryashova, Olga
Kurilovich, Anna
Revuelta, Maria V.
Cerchietti, Leandro
Agirre, Xabier
San Miguel, Jesus
Paiva, Bruno
Prosper, Felipe
Martinez-Climent, Jose A.
Preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma
title Preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma
title_full Preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma
title_fullStr Preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma
title_full_unstemmed Preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma
title_short Preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma
title_sort preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033443/
https://www.ncbi.nlm.nih.gov/pubmed/36928817
http://dx.doi.org/10.1038/s41591-022-02178-3
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