Back

Novel co-culture strategies of tumor organoids with autologous T-cells reveal clinically relevant combinations of immune-checkpoint and targeted therapies

Podaza, E.; Capuano, J.; Al Assaad, M.; Kuo, H.-h.; Markowitz, G.; Irizarry, A.; Ravichandran, H.; Ackermann, S.; Kane, T.; Manohar, J.; Sigouros, M.; Moyer, J.; Bhinder, B.; Chandra, P.; Malbari, M.; Boehnke, K.; Mosquera, J. M.; Mittal, V.; Sboner, A.; Gokozan, H.; Altorki, N.; Elemento, O.; Martin, M. L.

2023-07-05 immunology
10.1101/2023.07.05.546622 bioRxiv
Show abstract

Patient derived tumor organoids (PDTOs) have become relevant pre-clinical models for therapeutic modelling since they highly recapitulate patients response to treatment. Nevertheless, their value for immunotherapy modelling has not been fully explored. We developed a tumor processing protocol that enable the establishment of PDTOs and tumor infiltrating lymphocytes (TILs) isolation. By the optimization of functional assays, we compared the T-cells effector functions of matching PBMCs and TILs, demonstrating that PBMCs after co-culture and TILs after initial expansion display similar responses. In addition, the evaluation of cytokine production by fluorospot in combination with an image-based killing assay enable the screening of different immune-checkpoint inhibitors as well as its combination with target inhibitors. Our proof-of-concept functional assays showed the potential and versatility of PDTOs and T-cells co-culture systems for immunotherapy screening. The optimization of scalable functional assays downstream co-culture represents a significant step forward to increase the value of PDTOs as pre-clinical models for immunotherapeutic screens.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Journal for ImmunoTherapy of Cancer
75 papers in training set
Top 0.1%
34.2%
2
OncoImmunology
24 papers in training set
Top 0.1%
15.0%
3
Frontiers in Immunology
638 papers in training set
Top 3%
4.0%
50% of probability mass above
4
Journal of Experimental & Clinical Cancer Research
25 papers in training set
Top 0.1%
3.2%
5
Cell Reports Medicine
153 papers in training set
Top 1.0%
3.2%
6
Frontiers in Oncology
103 papers in training set
Top 1%
2.6%
7
npj Precision Oncology
53 papers in training set
Top 0.6%
2.4%
8
Cancer Letters
35 papers in training set
Top 0.3%
2.4%
9
Scientific Reports
3612 papers in training set
Top 48%
2.1%
10
Cancer Immunology Research
35 papers in training set
Top 0.5%
1.9%
11
eBioMedicine
183 papers in training set
Top 2%
1.9%
12
International Journal of Cancer
49 papers in training set
Top 0.6%
1.7%
13
Nature Communications
5641 papers in training set
Top 51%
1.1%
14
PLOS ONE
5266 papers in training set
Top 55%
1.1%
15
European Journal of Immunology
60 papers in training set
Top 1%
1.1%
16
Molecular Therapy
81 papers in training set
Top 1%
1.0%
17
Molecular Oncology
55 papers in training set
Top 1%
1.0%
18
iScience
1154 papers in training set
Top 31%
1.0%
19
Cells
249 papers in training set
Top 7%
0.8%
20
Neuro-Oncology
36 papers in training set
Top 0.6%
0.8%
21
Cell Death Discovery
58 papers in training set
Top 2%
0.6%
22
Vaccines
198 papers in training set
Top 4%
0.6%
23
Molecular Therapy Oncology
10 papers in training set
Top 0.3%
0.6%
24
eLife
5828 papers in training set
Top 69%
0.6%
25
Biomedicine & Pharmacotherapy
42 papers in training set
Top 2%
0.6%