Anti-TIGIT antibody tiragolumab improves PD-L1 blockade via myeloid and Treg cells

Tiragolumab, an anti-TIGIT antibody with an active IgG1/kappa Fc, demonstrated improved outcomes in the phase 2 CITYSCAPE trial (NCT03563716) when combined with atezolizumab (anti-PD-L1) versus atezolizumab alone1. However, there remains little consensus on the mechanism(s) of response with this combination2. We found that high baseline intratumoral macrophages and Tregs were associated with better outcomes in patients treated with atezolizumab plus tiragolumab but not with atezolizumab alone. Serum sample analysis revealed that macrophage activation was associated with clinical benefit in patients receiving the combination treatment. In mouse tumor models, tiragolumab surrogate antibodies inflamed tumor-associated macrophages, monocytes, and dendritic cells through Fc gamma receptors (FcɣR), in turn driving anti-tumor CD8+ T cells from an exhausted effector-like state to a more memory-like one. These results uncover a mechanism of action by which TIGIT checkpoint inhibitors can remodel immunosuppressive tumor microenvironments, and suggest that FcɣR engagement is an important consideration in anti-TIGIT antibody development.

Type: RNASeq
Archiver: European Genome-Phenome Archive (EGA)

5 Datasets 1 Publication

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Samples
EGAD50000000366	Source data of clinical study data corresponding to figures reported in the paper titled: Anti-TIGIT antibody improves PD-L1 blockade through myeloid and Treg cells. PMID: 38418879 DOI: 10.1038/s41586-024-07121-9	293
EGAD50000000367	Source data of clinical study data corresponding to figures reported in the paper titled: Anti-TIGIT antibody improves PD-L1 blockade through myeloid and Treg cells. PMID: 38418879 DOI: 10.1038/s41586-024-07121-9	293
EGAD50000000368	Source data of clinical study data corresponding to figures reported in the paper titled: Anti-TIGIT antibody improves PD-L1 blockade through myeloid and Treg cells. PMID: 38418879 DOI: 10.1038/s41586-024-07121-9	293
EGAD50000000369	Matrix of counts from the serum peptide mass spec data from patients enrolled in the CITYSCAPE trial, and the sample annotation. Specifically, serum samples at C1D1, C2D1, C3D1, SCRN were collected from a total of 132 patients and subject to Mass Spec at Biognosys. The current study focused on patients who have samples at both C1D1 and C2D1 (n = 64 pairs). Associated metadata also included.	293
EGAD50000000370	Matrices of counts from single-cell RNA-seq data and single-cell CITE-seq data collected from 16 patients enrolled in GO30103 trial, and the cell level annotation. Specifically, PBMCs at C1D1, C1D15 (2 weeks after treatment), C2D1 (3 weeks after treatment) and C4D1 (9 weeks after treatment) were collected and subject to 10x Genomics protocol. Associated metadata also included.	293

Publications	Citations
Author Correction: Anti-TIGIT antibody improves PD-L1 blockade through myeloid and T<sub>reg</sub> cells. Guan X, Hu R, Choi Y, Srivats S, Nabet BY, Silva J, McGinnis L, Hendricks R, Nutsch K, Banta KL, Duong E, Dunkle A, Chang PS, Han CJ, Mittman S, Molden N, Daggumati P, Connolly W, Johnson M, Abreu DR, Cho BC, Italiano A, Gil-Bazo I, Felip E, Mellman I, Mariathasan S, Shames DS, Meng R, Chiang EY, Johnston RJ, Patil NS. Nature 633: 2024 E1	0

Publications

Citations

Author Correction: Anti-TIGIT antibody improves PD-L1 blockade through myeloid and T<sub>reg</sub> cells.
Guan X, Hu R, Choi Y, Srivats S, Nabet BY, Silva J, McGinnis L, Hendricks R, Nutsch K, Banta KL, Duong E, Dunkle A, Chang PS, Han CJ, Mittman S, Molden N, Daggumati P, Connolly W, Johnson M, Abreu DR, Cho BC, Italiano A, Gil-Bazo I, Felip E, Mellman I, Mariathasan S, Shames DS, Meng R, Chiang EY, Johnston RJ, Patil NS. Nature 633: 2024 E1