Back

Organoid-based colorectal tumor microenvironment model for immuno-oncology research

Filip, A. M.; Cubela, I.; Lavickova, B.; Coto-Llerena, M.; Danenberg, E.; Daniel, M.; Ehret, B.; Chevrier, S.; Kromer, K.; Harter, M. F.; Lukonin, I.; Jin, W.; Jean-Mairet, P.; Cremasco, F.; Colombetti, S.; Cabon, L.; Gjorevski, N.

2026-06-04 cancer biology
10.64898/2026.06.02.729459 bioRxiv
Show abstract

The development of cancer immunotherapies is hindered by the lack of human-relevant models that accurately translate to patient outcomes. We combine patient-derived colorectal tumor organoids (PDOs) and cancer-associated fibroblasts (CAFs) into floating extracellular matrix drops to form miniature colorectal tumors. These SHaking Organoid COcultures (SHOCOs) maintain immune cells in numbers, states and functional interactions that are more physiologically accurate than traditional PDO-based co-culture models. Immunocompetent SHOCOs treated with T-cell bispecific antibodies exhibited a robust anti-tumor response, in a concentration- and duration of treatment-dependent manner. By varying the stromal content, we found that fibroblasts present a physical barrier that hinders intratumoral T-cell infiltration. We also demonstrate that tumor-associated stroma can be exploited therapeutically in potentiating anti-tumor immune responses. SHOCOs could aid the battle against cancer both by providing fundamental insights into immune and stromal tumor biology, and by catalyzing the discovery of novel therapeutic approaches. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=143 SRC="FIGDIR/small/729459v1_ufig1.gif" ALT="Figure 1"> View larger version (78K): org.highwire.dtl.DTLVardef@1aed309org.highwire.dtl.DTLVardef@a11696org.highwire.dtl.DTLVardef@1d1d74dorg.highwire.dtl.DTLVardef@18e2c3f_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 0C_FLOATNO / Graphical Abstract: Illustration of the SHOCO Model. (A) Overview of the components used in creating SHOCOs and the complex tumor microenvironment they replicate. Epithelial cells (pink), CAFs (red), CD8 T cell (blue), CD4 T cell (green). Characteristics of SHOCOs: (B) Emphasizing the role of CAFs in contracting and creating a denser microenvironment. (C) CAFs act as a physical barrier, preventing CD8 T cells from reaching tumor niches. (D) SHOCOs maintain a substantial myeloid population (violet) capable of performing antigen presentation. (E) T cells within SHOCOs mount an anti-tumor cytotoxic immune response as a result of immunotherapy. Granzymes (orange), cleaved Caspase-3/7 (yellow). C_FIG

Matching journals

The top 14 journals account for 50% of the predicted probability mass.

1
Frontiers in Oncology
103 papers in training set
Top 0.3%
7.5%
2
Journal for ImmunoTherapy of Cancer
75 papers in training set
Top 0.3%
6.9%
3
Cancers
213 papers in training set
Top 1%
5.0%
4
Scientific Reports
3612 papers in training set
Top 19%
5.0%
5
npj Precision Oncology
53 papers in training set
Top 0.3%
4.5%
6
Cancer Immunology, Immunotherapy
12 papers in training set
Top 0.1%
4.5%
7
Cells
249 papers in training set
Top 0.9%
3.3%
8
PLOS ONE
5266 papers in training set
Top 41%
2.5%
9
Frontiers in Bioengineering and Biotechnology
98 papers in training set
Top 0.7%
2.5%
10
Cancer Research Communications
51 papers in training set
Top 0.6%
2.2%
11
Journal of Experimental & Clinical Cancer Research
25 papers in training set
Top 0.3%
2.0%
12
International Journal of Cancer
49 papers in training set
Top 0.6%
1.8%
13
British Journal of Cancer
49 papers in training set
Top 0.8%
1.8%
14
Cancer Research
130 papers in training set
Top 2%
1.8%
50% of probability mass above
15
Frontiers in Immunology
638 papers in training set
Top 6%
1.5%
16
OncoImmunology
24 papers in training set
Top 0.4%
1.5%
17
Neoplasia
23 papers in training set
Top 0.4%
1.5%
18
APL Bioengineering
19 papers in training set
Top 0.1%
1.2%
19
Journal of Translational Medicine
57 papers in training set
Top 1%
1.2%
20
Advanced Healthcare Materials
85 papers in training set
Top 1%
1.2%
21
eLife
5828 papers in training set
Top 56%
1.2%
22
iScience
1154 papers in training set
Top 24%
1.2%
23
The Journal of Pathology
26 papers in training set
Top 0.6%
1.1%
24
Translational Oncology
21 papers in training set
Top 0.6%
1.1%
25
Cell Communication and Signaling
51 papers in training set
Top 1.0%
1.1%
26
Bioengineering & Translational Medicine
21 papers in training set
Top 0.5%
1.0%
27
Biomaterials
84 papers in training set
Top 1%
1.0%
28
Communications Biology
993 papers in training set
Top 28%
0.9%
29
The American Journal of Pathology
32 papers in training set
Top 0.7%
0.9%
30
Integrative Biology
14 papers in training set
Top 0.1%
0.9%