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Mesenchymal loss of p53 alters stem cell capacity and models human soft tissue sarcoma traits [scRNA-seq]

ABSTRACT: Soft tissue sarcomas (STSs) are a heterogeneous group of tumors that originate from mesenchymal cells. p53 is frequently mutated in human STS. In this study, we found that the loss of p53 in mesenchymal stem cells (MSCs) mainly causes adult undifferentiated soft tissue sarcoma (USTS). MSCs lacking p53 show changes in stem cell properties, including differentiation, cell cycle progression, and metabolism. The transcriptomic changes and genetic mutations in murine p53-deficient USTS mimic those seen in human STS. Furthermore, single-cell RNA sequencing revealed that MSCs undergo transcriptomic alterations with aging—a risk factor for certain types of USTS—and that p53 signaling decreases simultaneously. Moreover, we found that human STS can be transcriptomically classified into six clusters with different prognoses, different from the current histopathological classification. This study paves the way for understanding MSC-mediated tumorigenesis and provides an efficient mouse model for sarcoma studies.

ORGANISM(S): Mus musculus

PROVIDER: GSE226845 | GEO | 2023/03/21

REPOSITORIES: GEO

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Mesenchymal loss of p53 alters stem cell capacity and models human soft tissue sarcoma traits [bulk RNA-seq]

Project description:Soft tissue sarcomas (STSs) are a heterogeneous group of tumors that originate from mesenchymal cells. p53 is frequently mutated in human STS. In this study, we found that the loss of p53 in mesenchymal stem cells (MSCs) mainly causes adult undifferentiated soft tissue sarcoma (USTS). MSCs lacking p53 show changes in stem cell properties, including differentiation, cell cycle progression, and metabolism. The transcriptomic changes and genetic mutations in murine p53-deficient USTS mimic those seen in human STS. Furthermore, single-cell RNA sequencing revealed that MSCs undergo transcriptomic alterations with aging, which is a risk factor for certain types of UST, and that p53 signaling decreases simultaneously. Moreover, we found that human STS can be transcriptomically classified into six clusters with different prognoses, different from the current histopathological classification. This study paves the way for understanding MSC-mediated tumorigenesis and provides an efficient mouse model for sarcoma studies.

2023-03-08 | GSE226843 | GEO

Hypoxia and Intrinsic Transcriptomic Subtyping of Soft Tissue Sarcoma

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Project description:Soft tissue sarcomas (STSs) are heterogeneous malignancies derived from mesenchymal cells. Due to its rarity, heterogeneity, and limited overall response to chemotherapy, STSs represents a therapeutic challenge. Necroptosis is a novel therapeutic strategy for enhancing immunotherapy of cancer. Nevertheless, no research has explored the relationship between necroptosis-related genes (NRGs) and STSs.We performed full-length transcriptome analysis of four pairs of soft-tissue sarcomas and normal normal adjacent tissues. We further validated the expression level of necroptosis-related genes (NRGs) in these sample pairs.

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Project description:Purpose: Patients with advanced soft-tissue sarcomas (STSs) exhibit a poor prognosis and have few therapeutic options. DNA-dependent protein kinase catalytic subunit (DNA-PK) is a multifunctional serine—threonine protein kinase that plays a crucial role in DNA double-strand damage repair via nonhomologous end joining (NHEJ). Experimental design: To investigate the therapeutic potential of DNA-PK targeting in STS, we first evaluated the prognostic value of DNA-PK expression in two large cohorts of patients with STS. We then used the potent and selective DNA-PK inhibitor AZD7648 compound to investigate the antitumor effect of the pharmacological inhibition of DNA-PK in vitro via MTT, apoptosis, cell cycle, and proliferation assays. In vivo studies were performed with patient-derived xenograft models to evaluate the effects of AZD7648 in combination with chemotherapy or ionizing radiation on tumor growth. The mechanisms of sensitivity and resistance to DNA-PK inhibition were investigated by using a genome-wide CRISPR-Cas9 positive screen. Results: DNA-PK overexpression is significantly associated with poor prognosis in patients with sarcomas. Selective pharmacological inhibition of DNA-PK strongly synergizes with radiation- and doxorubicin-based regimen in sarcoma models. By using a genome-wide CRISPR-Cas9 positive screen, we identified genes involved in sensitivity to DNA-PK inhibition. Conclusion: DNA-PK inhibition deserves clinical investigation to improve response to current therapies in patients with sarcoma

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Metastatic and Nonmetastatic canine soft tissue sarcoma comparison

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