Back

Organoid-T cell co-cultures functionally stratify tumor-reactive T cells and their responses to immune checkpoint inhibitors

Merritt, E.; Cavallo-Fleming, J.-A.; Lara Granados, G.; Nath, S.; Lee, W.; Sritharan, R.; Sridhar, S.; Zuluaga, L.; Ariztia, E. V.; Hirsch, F. R.; Walsh, M.; Sfakianos, J. P.; Badani, K.; Brody, R.; Horowitz, A.; Tsankov, A. M.; Sia, D.; Hopkins, B.; Tocheva, A. S.

2026-05-31 immunology
10.64898/2026.05.27.727968 bioRxiv
Show abstract

Tumor-reactive T cells (TRTs) are critical for anti-tumor immunity but are incompletely captured by current assays, which fail to reproduce tumor-specific antigen diversity. Here, we show that multiplex functional profiling of patient-derived tumor organoid-T cell co-cultures (PDOTs) enables robust identification of TRTs across CD8, CD4, and double-negative (DN) T cell populations. Single activation markers underestimated TRT responses, whereas integrated analysis revealed broader functional repertoire. MHCI blockade abrogated CD8 and DN TRT responses while preserving CD4 reactivity, supporting antigen-dependent recognition across T cell lineages. Tumor PDO expressed MHCI and MHCII, and PDOTs enabled generation and detection of TRTs from peripheral blood. PD1 blockade induced heterogeneous responses, enhancing CD8 and DN activity and unexpectedly augmenting CD4 reactivity. PDOTs further identified additional inhibitory pathways whose therapeutic targeting in combination with PD1 blockade increased TRT responses. These findings establish PDOTs as a platform to identify TRTs and functionally stratify patient-specific tumor-T cell responses to checkpoint immunotherapy.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Nature Immunology
71 papers in training set
Top 0.1%
12.1%
2
Nature Communications
4913 papers in training set
Top 16%
12.0%
3
Immunity
58 papers in training set
Top 0.5%
9.8%
4
Cell Reports
1338 papers in training set
Top 6%
6.6%
5
Science Immunology
81 papers in training set
Top 0.5%
3.8%
6
Cell
370 papers in training set
Top 6%
3.6%
7
Cell Reports Medicine
140 papers in training set
Top 2%
3.5%
50% of probability mass above
8
Science Advances
1098 papers in training set
Top 9%
3.0%
9
Science Translational Medicine
111 papers in training set
Top 1%
3.0%
10
Cell Systems
167 papers in training set
Top 5%
2.5%
11
Nature
575 papers in training set
Top 9%
2.5%
12
Journal of Experimental Medicine
106 papers in training set
Top 2%
2.0%
13
Journal of Clinical Investigation
164 papers in training set
Top 2%
2.0%
14
Nature Medicine
117 papers in training set
Top 2%
1.8%
15
Nature Cancer
35 papers in training set
Top 0.7%
1.8%
16
eLife
5422 papers in training set
Top 39%
1.8%
17
Cancer Discovery
61 papers in training set
Top 1%
1.7%
18
Nature Biomedical Engineering
42 papers in training set
Top 1%
1.6%
19
Nature Biotechnology
147 papers in training set
Top 6%
1.3%
20
Science
429 papers in training set
Top 17%
1.3%
21
Advanced Science
249 papers in training set
Top 15%
1.2%
22
Cancer Immunology Research
34 papers in training set
Top 0.4%
1.1%
23
Nature Methods
336 papers in training set
Top 6%
0.9%
24
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 44%
0.8%
25
Cell Stem Cell
57 papers in training set
Top 2%
0.8%
26
JCI Insight
241 papers in training set
Top 8%
0.7%
27
Genome Medicine
154 papers in training set
Top 9%
0.7%
28
Cell Metabolism
49 papers in training set
Top 3%
0.7%
29
Journal for ImmunoTherapy of Cancer
64 papers in training set
Top 1%
0.7%
30
Nucleic Acids Research
1128 papers in training set
Top 19%
0.7%