Cell stem cellCancer BiologyPeer-reviewed journal article
An organoid co-culture model for probing systemic anti-tumor immunity in lung cancer
Kaiyi LiiD, Chang LiuiD, Xizhao Sui, Chao Li, Ting Zhang, Tian ZhaoiD, Dong Zhang, Hainan WuiD, Yuhan Liu, Shuai Wang, Yingshun Yang, Baobao Lin, Wenyan WangiD, Fan YangiD, Xiaofang Chen, Peng Liu
Abstract
Deciphering the interactions between tumor micro- and systemic immune macro-environment is essential for developing more effective cancer diagnosis and treatment strategies. Here, we established a gel-liquid interface (GLI) co-culture of lung cancer organoids (LCOs) and paired peripheral blood mononuclear cells (PBMCs), featuring with enhanced interactions of immune cells and tumor organoids, to mimic the in vivo systemic anti-tumor immunity induced by immune checkpoint inhibitors (ICI). The co-culture model recapitulates the in vivo ICI-induced T cell recruitment and subsequent tumor regression, predicting the clinical results precisely. We demonstrated that circulating tumor-reactive T cells, which are effector memory-like with high expression levels of GNLY, CD44 and CD9, can serve as an indicator of the immunotherapy efficacy. Interestingly, enhanced inflammatory signaling in blood T cells is accompanied with prompted exhaustion and compromised anti-tumor function, when encountering with organoids. Our findings suggest that the GLI co-culture can be used for developing diagnostic strategies for precision immunotherapies as well as understanding the underlying mechanisms. Summary figure O_FIG O_LINKSMALLFIG WIDTH=178 HEIGHT=200 SRC="FIGDIR/small/597327v1_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@a0829dorg.highwire.dtl.DTLVardef@1df3083org.highwire.dtl.DTLVardef@1ea1065org.highwire.dtl.DTLVardef@1da9464_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- assay: organoid / primary culture
- research focus: cancer & tumor microenvironment
- research focus: cell type annotation
- research focus: cell-cell communication
- research focus: differential expression
- approach: experimental assay
- Citations
- 59
- FWCI
- 24.17
- Field percentile
- top 1%
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