Back

Interferon-γ driven differentiation of monocytes into PD-L1+ and MHC II+ macrophages and the frequency of Tim-3+ tumor-reactive CD8+ T cells within the tumor microenvironment predict a positive response to anti-PD-1-based therapy in tumor-bearing mice

Gabrilo, J.; Vande Velde, S.; Henin, C.; Denanglaire, S.; Azouz, A.; Boon, L.; Van den Eynde, B. J.; Moser, M.; Goriely, S.; Leo, O.

2024-08-04 immunology
10.1101/2024.08.01.606242 bioRxiv
Show abstract

While immune checkpoint inhibitors have demonstrated durable responses in various cancer types, a significant proportion of patients do not exhibit favourable responses to these interventions. To uncover potential factors associated with a positive response to immunotherapy, we established a bilateral tumor model using P815 mastocytoma implanted in DBA/2 mice. In this model, only a fraction of tumor-bearing mice responds favourably to anti-PD-1 treatment, thus providing a valuable model to explore the influence of the tumor microenvironment (TME) in determining the efficacy of immune checkpoint blockade (ICB)-based immunotherapies. Moreover, this model allows for the analysis of a pretreatment tumor and inference of its treatment outcome based on the response observed in the contralateral tumor. Here, we demonstrated that tumor-reactive CD8+ T cell clones expressing high levels of Tim-3 were associated to a positive anti-tumor response following anti-PD-1 administration. Our study also revealed distinct differentiation dynamics in tumor-infiltrating myeloid cells in responding and non-responding mice. An IFN{gamma}-enriched TME appeared to promote the differentiation of monocytes into PD-L1pos MHC IIhigh cells in mice responding to immunotherapy. Monocytes present in the TME of non-responding mice failed to reach the same final stage of differentiation trajectory, suggesting that an altered monocyte to macrophage route may hamper the response to ICB. These insights will direct future research towards a temporal analysis of TAMs, aiming to identify factors responsible for transitions between differentiation states within the TME. This approach may potentially pave the way to novel strategies to enhance the efficacy of PD-1 blockade.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
OncoImmunology
22 papers in training set
Top 0.1%
18.4%
2
Frontiers in Immunology
586 papers in training set
Top 0.3%
14.2%
3
Cancer Immunology Research
34 papers in training set
Top 0.1%
10.0%
4
European Journal of Immunology
57 papers in training set
Top 0.1%
6.7%
5
Journal for ImmunoTherapy of Cancer
64 papers in training set
Top 0.2%
6.2%
50% of probability mass above
6
Scientific Reports
3102 papers in training set
Top 20%
6.2%
7
Theranostics
33 papers in training set
Top 0.3%
3.0%
8
Cancers
200 papers in training set
Top 2%
2.7%
9
eLife
5422 papers in training set
Top 32%
2.6%
10
Cancer Immunology, Immunotherapy
11 papers in training set
Top 0.1%
2.0%
11
Frontiers in Oncology
95 papers in training set
Top 2%
2.0%
12
Cells
232 papers in training set
Top 3%
1.7%
13
iScience
1063 papers in training set
Top 16%
1.7%
14
Immunology
29 papers in training set
Top 0.6%
1.3%
15
The Journal of Immunology
146 papers in training set
Top 1%
1.2%
16
Breast Cancer Research
32 papers in training set
Top 0.4%
0.9%
17
Cell Communication and Signaling
35 papers in training set
Top 1%
0.8%
18
International Journal of Molecular Sciences
453 papers in training set
Top 14%
0.8%
19
The Journal of Pathology
22 papers in training set
Top 0.5%
0.7%
20
Journal of Experimental & Clinical Cancer Research
25 papers in training set
Top 0.3%
0.7%
21
The American Journal of Pathology
31 papers in training set
Top 0.7%
0.6%
22
PLOS ONE
4510 papers in training set
Top 72%
0.6%