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

被引:32
|
作者
Larrayoz, Marta [1 ]
Garcia-Barchino, Maria J. [1 ]
Celay, Jon [1 ]
Etxebeste, Amaia [1 ]
Jimenez, Maddalen [1 ]
Perez, Cristina [1 ]
Ordonez, Raquel [1 ]
Cobaleda, Cesar [2 ]
Botta, Cirino [1 ,19 ]
Fresquet, Vicente [1 ]
Roa, Sergio [1 ]
Goicoechea, Ibai [1 ]
Maia, Catarina [1 ]
Lasaga, Miren [1 ]
Chesi, Marta [3 ]
Bergsagel, P. Leif [3 ]
Larrayoz, Maria J. [1 ]
Calasanz, Maria J. [1 ]
Campos-Sanchez, Elena [2 ]
Martinez-Cano, Jorge [2 ]
Panizo, Carlos [4 ]
Rodriguez-Otero, Paula [4 ]
Vicent, Silvestre [5 ]
Roncador, Giovanna [6 ]
Gonzalez, Patricia [6 ]
Takahashi, Satoru [7 ]
Katz, Samuel G. [8 ]
Walensky, Loren D. [9 ,10 ]
Ruppert, Shannon M. [11 ]
Lasater, Elisabeth A. [12 ]
Amann, Maria [13 ]
Lozano, Teresa [14 ]
Llopiz, Diana [14 ]
Sarobe, Pablo [14 ]
Lasarte, Juan J. [14 ]
Planell, Nuria [15 ]
Gomez-Cabrero, David [15 ,16 ]
Kudryashova, Olga [17 ]
Kurilovich, Anna [17 ]
Revuelta, Maria V. [18 ]
Cerchietti, Leandro [18 ]
Agirre, Xabier [1 ]
San Miguel, Jesus [1 ,4 ]
Paiva, Bruno [1 ,4 ]
Prosper, Felipe [1 ,4 ]
Martinez-Climent, Jose A. [1 ]
机构
[1] Canc Ctr Univ Navarra CCUN, Navarra Inst Hlth Res IDISNA, Ctr Appl Med Res CIMA, CIBERONC,Div Hematooncol, Pamplona, Spain
[2] Univ Autonoma Madrid, Consejo Super Invest Cient, Ctr Biol Mol Severo Ochoa, Immune Syst Dev & Funct Unit, Madrid, Spain
[3] Mayo Clin Arizona, Dept Med, Scottsdale, AZ USA
[4] Clin Univ Navarra, Dept Hematol, CCUN, IDISNA,CIBERONC, Pamplona, Spain
[5] Univ Navarra, Ctr Appl Med Res CIMA, Program Solid Tumors, IDISNA,CIBERONC, Pamplona, Spain
[6] Spanish Natl Canc Res Ctr CNIO, Biotechnol Program, Monoclonal Antibodies Unit, Madrid, Spain
[7] Univ Tsukuba, Fac Med, Dept Anat & Embryol, Tsukuba, Japan
[8] Yale Sch Med, Dept Pathol, New Haven, CT USA
[9] Harvard Med Sch, Dana Farber Canc Inst, Dept Pediat Oncol, Boston, MA USA
[10] Harvard Med Sch, Dana Farber Canc Inst, Program Canc Chem Biol, Boston, MA USA
[11] Genentech Inc, Oncol Biomarker Dev, South San Francisco, CA USA
[12] Genentech Inc, Dept Translat Oncol, South San Francisco, CA USA
[13] Roche Pharmaceut Res & Early Dev pRED, Roche Innovat Ctr Zurich, Schlieren, Switzerland
[14] Univ Navarra, Ctr Appl Med Res CIMA, Program Immunol & Immunotherapy, IDISNA,CIBEREHD, Pamplona, Spain
[15] Univ Publ Navarra, Translat Bioinformat Unit, IDISNA, Navarra Biomed, Pamplona, Spain
[16] King Abdullah Univ Sci & Technol, Biol & Environm Sci & Engn Div, Thuwal, Saudi Arabia
[17] BostonGene, Waltham, MA USA
[18] Weill Cornell Med, Dept Med, Div Hematol & Med Oncol, New York, NY USA
[19] Univ Palermo, Dept Hlth Promot Mother & Child Care, Internal Med & Med Specialties, Palermo, Italy
基金
欧洲研究理事会;
关键词
TRANSGENIC MOUSE MODEL; CELL RNA-SEQ; MYC; ACTIVATION; ANTIBODY; TRANSLOCATIONS; GAMMOPATHY; EXPRESSION; EFFICACY; DRIVES;
D O I
10.1038/s41591-022-02178-3
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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-kappa B, 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 similar to 500 mice and similar to 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. New experimental models provide much-needed tools for understanding how genetically diverse multiple myeloma progresses and evolves in response to therapy.
引用
收藏
页码:632 / 645
页数:37
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