Dataset Information

The endothelin-1-driven tumor-stroma feed-forward loops in high-grade serous ovarian cancer

ABSTRACT: The high-grade serous ovarian cancer (HG-SOC) tumor microenvironment (TME) is constellated by cellular elements and a network of soluble constituents that contribute to tumor progression. In the multitude of the secreted molecules, the endothelin-1 (ET-1) has emerged to be implicated in the tumor/TME interplay, however the molecular mechanisms induced by the ET-1-driven feed-forward loops (FFL) and associated with the HG-SOC metastatic potential need to be further investigated. The tracking of the patient-derived (PD) HG-SOC cell transcriptome by RNA-seq identified the vascular endothelial growth factor (VEGF) gene and its associated signature among those mostly upregulated by ET-1 and down-modulated by the dual ET-1R antagonist macitentan. Within the ligand-receptor pairs concurrently expressed in PD-HG-SOC cells, endothelial cells and activated fibroblasts, we discovered two intertwined FFL, the ET-1/ET-1R and VEGF/VEGF receptors, concurrently activated by ET-1 and shutting-down by macitentan, or by the anti-VEGF antibody bevacizumab. In parallel, we observed that ET-1 fine-tuned the tumoral and stromal secretome towards a pro-invasive pattern. Into the fray of the HG-SOC/TME double and triple co-cultures, the secretion of ET-1 and VEGF, that share a common co-regulation, was inhibited upon the administration of macitentan. Functionally, macitentan, mimicking the effect of bevacizumab, interfered with the HG-SOC/TME FFL-driven communication that fuel the HG-SOC invasive behaviour. The identification of ET-1 and VEGF FFL as tumor and TME actionable vulnerabilities, reveal how ET-1R blockade, targeting the HG-SOC cells and the TME simultaneously, may represent an effective therapeutic option for HG-SOC patients.

ORGANISM(S): Homo sapiens

PROVIDER: GSE268498 | GEO | 2024/07/17

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Purpose: Transcriptome profiling of organoids/tissues derived from murine oviduct and OSE was performed to study and compare the gene expression profiles in the both suspected origins of HG-SOC. CRISPR-Cas9 modified oviductal organoids (TBP clones, which were mutated in Trp53, Brca1 and Pten), the tumors derived upon xenotransplantation of the TBP-clones and subsequent tumor-derived organoids were additionally profiled to show the transcriptional change upon aquiring mutations and tumor development. Methods: Both oviductal and OSE organoids as well as oviductal TBP-clones and tumor-derived organoids were grown in Wnt-conditioned media prior harvesting for RNA extraction. Additionally, RNA was extracted from healthy oviductal and OSE tissues and Ovi-TBP-clone-derived tumor tissues. RNA was converted to cDNA and libraries were prepared using the CelSeq2 method and sequenced. Samples were sequenced on Illumina NextSeq500 by using 75-bp paired-end sequencing. Paired-end reads from Illumina sequencing were aligned to the mouse genome (GRCm38 assembly) by BWA. DESeq2 (v1.18.0) package was used for read normalization and differential expression analysis. Gene set enrichment analysis (GSEA) was performed using gene lists for motile cilium assembly against normalized RNA-seq reads of healthy oviductal an OSE organoids using GSEA software v3.0 beta2. GSEA was additionally used to detect enrichment of signature gene sets of different HG-SOC subtypes in the TBP-clone-derived murine tumors Results: Transcriptome analysis of oviductal and OSE organoids/tissues revealed tissue-specific gene expression pattern in the organoid systems. In contrast to OSE counterparts, oviductal organoids showed enrichment in motile cilium assembly genes, reflecting the presence of ciliated cells in this model. Results: Oviductal TBP-clones gave rise to different tumor phenotypes with distinct gene expression profiles. Analysis of the transcriptomes of these tumors divided the TBP-clone-derived tumors into two distinct HG-SOC molecular subtypes (differentiated- or immunoreactive-like subtypes), confirming the potential of organoids in modeling HG-SOC. Results: The tumor-derived organoids retained the distinct phenotypes observed in the originating Ovi-TBP-clone derived tumors. Subset of tumors showed epithelial and others mesenchymal features that were maintained in the respective organoid cultures also in the gene expression level. Conclusions: RNA sequencing showed tissue specific differences in murine oviductal and OSE organoids, and revealed HG-SOC-like features of oviductal mutants.

Dataset Information

The endothelin-1-driven tumor-stroma feed-forward loops in high-grade serous ovarian cancer

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure