Patient-derived organoids (PDOs) represent promising preclinical models in various tumor types. In the context of prostate cancer (PCa), however, their establishment has been hampered by poor success rates, which impedes their broad use for translational research applications. Along with the necessity to improve culture conditions, there is a need to identify factors influencing outcomes and to determine how to assess success versus failure in organoid generation. In the present study, we report our unbiased efforts to generate PDOs from a cohort of 81 PCa specimens with diverse pathological and clinical features. We comprehensively analyzed histological features of each enrolled sample (Gleason score, tumor content, proliferation index) and correlated them with organoid growth patterns. We identified improved culture conditions favoring the generation of PCa organoids, yet no specific intrinsic tumor feature was broadly associated with sustained organoid growth. In addition, we performed phenotypic and molecular characterization of tumor-organoid pairs using immunohistochemistry, immunofluorescence, fluorescence in situ hybridization, and targeted sequencing. Morphological and immunohistochemical profiles of whole organoids altogether provided a fast readout to identify the most promising ones. Notably, primary samples were associated with an initial take-rate of 83% (n = 60/72) in culture, with maintenance of cancer cells displaying common PCa alterations, such as PTEN loss and ERG overexpression. These cancer organoids were, however, progressively overgrown by organoids with a benign-like phenotype. Finally, out of nine metastasis samples, we generated a novel organoid model derived from a hormone-naïve lung metastasis, which displays alterations in the PI3K/Akt and Wnt/β-catenin pathways and responds to androgen deprivation. Taken together, our comprehensive study explores determinants of outcome and highlights the opportunities and challenges associated with the establishment of stable tumor organoid lines derived from PCa patients.
Sarcomatoid Urothelial Bladder Cancer (SARC) is a rare and aggressive histological subtype of bladder cancer for which therapeutic options are limited and experimental models are lacking. Here, we report the establishment of the first long-term 3D organoid-like model derived from a SARC patient (SarBC-01). SarBC-01 emulates aggressive morphological and phenotypical features of SARC and harbor somatic mutations in genes frequently altered in sarcomatoid tumors such as TP53, RB1, and KRAS. High-throughput drug screening, using a library comprising 1567 compounds in SarBC-01 and organoids derived from a patient with conventional urothelial carcinoma (UroCa), identified drug candidates active against SARC cells exclusively, or UroCa cells exclusively, or both. Among those, standard-of-care chemotherapeutic drugs inhibited both SARC and UroCa cells, while a subset of targeted drugs was specifically effective in SARC cells, such as agents targeting the Glucocorticoid Receptor (GR) pathway. In two independent patient cohorts, GR was found to be significantly more expressed, at mRNA and protein level, in SARC as compared to UroCa tumor samples. Further, glucocorticoid treatment impaired the mesenchymal morphology, abrogated the invasive ability of SARC cells, and led to transcriptomic changes associated with reversion of epithelial-to-mesenchymal transition, at single-cell level. Altogether, our study highlights the power of organoids for precision oncology and for providing key insights into factors driving rare tumor entities.
Introduction: Muscular Invasive Bladder Cancer (MIBC) is a highly heterogeneous disease. A consensus classification, based on gene expression profiling, has identified six MIBC subgroups, ranging from basal/squamous (Ba/Sq) to luminal papillary (LumP). This classification is a static representation of the disease and does not account for cellular plasticity, which may induce phenotype switch and cancer progression. Here, we aimed at identifying factors involved in cellular plasticity using bladder cancer patient-derived organoids (PDO) models. Methods: Bladder cancer RNA sequencing data from bulk and single cell experiments were downloaded from public repositories. Samples from both datasets were classified using the consensus molecular classification. Pathway activation scores and cell-cell interaction scores were calculated for each subtype. Differential gene expression analysis was performed with the R packages edgeR and Seurat. MIBC samples were collected from bladder cancer patients undergoing surgical treatment. The samples were mechanically and enzymatically digested to generate a cell suspension which was seeded in Matrigel and immersed in growth-factor supplemented medium. Phenotypical characterization of long-term PDO lines was performed through immunofluorescence (IF). The PDOs were classified as Luminal, Basal or Mixed, based on the number of cells expressing the luminal marker CK8 or the basal marker CK5. Three selected organoids lines were cultured in alginate, immersed in a serum-free chemically-defined medium. Results: Long-term PDO lines were successfully generated from 6 out of 13 MIBC samples. Organoids from the same line showed a consistent expression of basal and luminal markers. One line was classified as Basal, 2 lines as Mixed and 3 lines as Luminal. Exploring bulk RNAseq and scRNAseq datasets, we identified several genes whose expression was significantly altered in Ba/Sq and LumP MIBC subtypes. In particular, SHH and related BMP genes were significantly less expressed in Ba/Sq samples than in LumP. In addition, we observed an overexpression of BMP3 in LumP samples and of TGFβ2 in Ba/Sq samples. As preliminary test, we formulated a chemically-defined medium containing inhibitors of the proteins encoded by the identified genes (TGFβ inhibitor and Noggin); using this medium, we were able to maintain organoids from a Luminal, Basal and Mixed subtype in culture for up to two weeks. Interestingly, after two weeks of culture, IF analysis highlighted the presence of cells expressing luminal markers in the basal organoid line, suggesting culture-induced change of phenotype. Conclusions: Bladder cancer PDOs represent promising models to study MIBC plasticity. The integration of RNA sequencing data and the successful culture of PDOs in chemically-defined culture conditions may allow to identify candidate factors impacting the phenotype of bladder cancer cells. Citation Format: Michele Garioni, Luca Roma, Renaud Mével, Tatjana Vlajnic, Heike Pueschel, Dagmar Iber, Hans-Helge Seifert, Cyrill A. Rentsch, Lukas Bubendorf, Clémentine Le Magnen. Bladder cancer patient-derived organoids to decipher cellular plasticity and cancer progression [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3073.
Introduction: An important clinical need remains to improve survival of men with advanced metastatic prostate cancer (PCa). A better understanding of the mechanisms underlying PCa progression and treatment resistance is a prerequisite to address this challenge, which is currently limited by the scarcity of experimental models. Here, we aimed at establishing and characterizing new patient-derived organoids xenograft (PDOX) models of advanced PCa. Materials & methods: We used two patient-derived organoid lines (PDOs), previously generated in our laboratory. P20-11 PDOs were derived from a lung metastasis obtained from a patient with hormone-naïve PCa. P20-23 PDOs were derived from a transurethral prostate resection obtained from a patient with metastatic castration-resistant PCa, previously treated with goserelin, docetaxel, and enzalutamide. PDOX were generated by subcutaneous injection of PDOs in NOD scid gamma (NSG) male mice. Organoids were derived from the PDOX tumors (PDOX-O). Matched patients’ tumor, PDOs, PDOX and PDOX-O samples were characterized using immunohistochemistry (IHC), immunofluorescence (IF), and whole exome sequencing (WES). Organoids were treated with different concentrations of drugs and cell viability was measured using CellTiter-Glo 3D, after a 5-day long treatment. Results: P20-11 PDOs developed tumors in 2 out of 6 mice, 10 months after injection. IHC analysis highlighted a loss of PTEN expression, overexpression of ERG and P53, as well as strong AR and NKX3.1 expression in the tumor, PDOs, PDOX and PDOX-O samples. WES analysis uncovered mutations in CTNNB1, PTEN and TP53 in all samples, and approximately 87% of shared non-synonymous mutations between the PDOX and the original patients’ tumor. Similar to the original PDOs, P20-11 PDOX-O displayed androgen sensitivity in vitro. P20-23 PDOs formed tumors in 3 out of 3 mice 8 months following injection. IHC and IF analyses highlighted a strong expression of CK8, PSMA, AR and NKX3.1, as well as a loss of PTEN expression in the tumor, PDOs, PDOX and PDOX-O samples. WES identified a pathogenic mutation in the PCa-associated gene ZMYM3 in all samples, associated with loss of protein expression. The activating AR point mutation L702H, previously linked to AR signaling inhibitors resistance, was detected in the tumor and in 2 out of 3 PDOX and their derived organoids. Overall, an average of 80% of non-synonymous mutations were shared between the patients’ tumor and PDOX. Finally, P20-23 PDOX-O did not respond to docetaxel or enzalutamide but exhibited sensitivity to the PI3K/AKT inhibitor ipatasertib. Conclusion: We have successfully generated two novel PDOX models, which highly resemble the original patients’ tumor and can be further cultured as organoids. These models are representative of relevant clinical and molecular subtypes of advanced PCa, providing further opportunities for translational studies. Citation Format: Raphaëlle Servant, Zoi Diamantopoulou, Michele Garioni, Luca Roma, Tatjana Vlajnic, Arnoud J. Templeton, Heike Pueschel, Salvatore Piscuoglio, Nicola Aceto, Helge Seifert, Cyrill A. Rentsch, Bubendorf Lukas, Clémentine Le Magnen. Establishment and characterization of two novel patient-derived organoid xenograft models of advanced prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3085.
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