Department of Pathology, Shanghai Ninth People’s Hospital, affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
Department of Dermatology and Dermatologic Surgery, Shanghai Ninth People’s Hospital, affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
Department of Plastic and Reconstructive Surgery, Shanghai Ninth People’s Hospital, affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
Organ Regeneration X Lab, LiSheng East China Institute of Biotechnology, Peking University, Nantong 226299, China
§ Yanghua Shi and Jiping Liu contributed equally to this work.
• Bermatofibrosarcoma protuberans (DFSP) organoids used to test responses to imatinib and metformin
• Metformin inhibits the growth of DFSP organoids via immune signaling pathway
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Here, we developed patient-derived skin tumor organoids mimicking clinical tissues, showcasing diverse cell types and immune interactions. Single-cell sequencing identified 11 cell types, highlighting fidelity to in vivo counterparts. Bermatofibrosarcoma protuberans (DFSP) organoids revealed metformin's unique immune signaling modulation, aiding drug testing and mechanistic exploration.
Abstract
Surgery is the primary treatment for skin tumors, but it can result in scarring and distress for patients. Developing alternative therapeutic methods necessitates suitable in vitro models, which are currently limited in accurately representing the in vivo cell types and microenvironment of skin tumors. Here, we present a practical approach for creating patient-derived skin tumor organoids that effectively replicate the histological characteristics and mutational profiles observed in clinical tissues. Utilizing single-cell sequencing, we identified up to 11 distinct cell types within the organoid samples, encompassing various skin system cells and immune cells. Furthermore, we demonstrate the applicability of bermatofibrosarcoma protuberans (DFSP) organoids for assessing their responses to imatinib and metformin. Our findings reveal that metformin, in contrast to imatinib, can modulate the expression of downstream genes through immune signaling pathways. Our results underscore the ability of DFSP organoids to preserve key features of clinical tissues, including the presence of multiple cell types, especially immune cells. Importantly, our organoids provide a convenient approach for investigating the effects of drugs and elucidating underlying molecular mechanisms.
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Culture and characterization of skin tumor organoids.
(a) Schematic diagram of organoid culture and passaging process. (b) Growth records of organoids from different patients, with organoids at P0 on the left and at P1 on the right; scale bar = 200 μm. (c) Statistical chart of organoid growth volume at different generations. (d) Bright-field images of DFSP organoids at different generations from P0 to P3; scale bar = 200 μm. (e) Comparative histological images of clinical tissue and organoids stained with H&E staining; scale bar = 50 μm.
Comparison of WES data between organoids and tissues.
(a) Venn diagram showing WES gene mutation sites in clinical tissue and organoids. (b) High consistency between clinical tissue and organoids from the same patient, with an overlap rate close to 80% (
n = 3, SK74/SK75/SK77). (c) Venn diagram of WES gene mutation sites from three different patients. (d) Low overlap rate of WES mutation sites among three different patients, less than 40%, demonstrating patient heterogeneity. (e) Consistency between clinical tissue and organoid samples was observed, as reported by Peng et al. in their study on genomic alterations of dermatofibrosarcoma protuberans. (f) WES data analysis revealed different mutation sites of certain genes among different patients.
Diverse cell types in the cultured skin organoids.
(a) Cell type definition based on comparison with public network data. (b) Identification of marker genes for different cell types. (c) Variation in cell type composition and proportions across the four organoids. (d) Three replicates of each of the four organ types were clustered and collected at different time points. (e) RNA-seq data was analyzed using PCA. (f) Gene clustering analysis was performed on the four organoids. (g) The proportions of different cell types varied across the four organ types.
Imatinib and metformin effectively inhibit the growth of DFSP organoids.
(a) Treatment of three DFSP organoids with imatinib resulted in a noticeable reduction in organoid sphere volume in two organoids, SK74 and SK75, with no significant effect observed in SK76; scale bar = 200 μm. (b) Statistical line graph depicting organoid volume sizes. (c) Record of organoid growth after treatment with imatinib and metformin, showing a significant decrease in the number of adherent cells in the drug-treated groups on the thirteenth day; black scale bar = 200 μm; blue scale bar = 50 μm. (d) Statistical bar graph representing organoid volume sizes. (e) Bar graph showing the number of adherent cells counted after DAPI staining; scale bar = 200 μm.
Downstream pathways and gene changes in organoids after treatment with imatinib and metformin.
(a) PCA plot of RNA-seq data from four organoid samples after drug treatment. (b) Clustering plot of gene expression in three replicates of the four organoid samples. (c) WGCNA analysis conducted to identify gene expression differences among the four organ types after treatment with the two drugs. (d) Display of relevant signaling pathways within three upregulated modules after metformin treatment. (e) Display of relevant signaling pathways within three downregulated modules after metformin treatment.