Tanshinone&amp;nbsp;I and simvastatin inhibit melanoma tumour cell growth by regulating poly (ADP ribose) polymerase&amp;nbsp;1 expression

Zhang, Yuyan; Huang, Jiusui; Huang, Yapeng; Zhang, Shike; Wu, Weizhou; Long, Hui; Duan, Xiaolu; Lai, Yongchang

doi:10.3892/mmr.2020.11678

Cited by 2 publications

(2 citation statements)

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“…Based on findings from this study, PARP1 expression may also contribute to carcinogenesis, in addition to its enzymatic activity (40). Additionally, our findings show the distribution of this gene in ovarian cancer cells, which could be useful for the treatment of ovarian cancer.…”

Section: Scrna-seq Was Used To Examine Gene Expression Patterns Fromsupporting

confidence: 59%

Comparative analysis between high-grade serous ovarian cancer and healthy ovarian tissues using single-cell RNA sequencing

Zhang

Hong

et al. 2023

Front. Oncol.

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IntroductionHigh-grade serous ovarian cancer (HGSOC) is the most common histological subtype of ovarian cancer, and is associated with high mortality rates.MethodsIn this study, we analyzed specific cell subpopulations and compared different gene functions between healthy ovarian and ovarian cancer cells using single-cell RNA sequencing (ScRNA-seq). We delved deeper into the differences between healthy ovarian and ovarian cancer cells at different levels, and performed specific analysis on endothelial cells.ResultsWe obtained scRNA-seq data of 6867 and 17056 cells from healthy ovarian samples and ovarian cancer samples, respectively. The transcriptional profiles of the groups differed at various stages of ovarian cell development. A detailed comparison of the cell cycle, and cell communication of different groups, revealed significant differences between healthy ovarian and ovarian cancer cells. We also found that apoptosis-related genes, URI1, PAK2, PARP1, CLU and TIMP3, were highly expressed, while immune-related genes, UBB, RPL11, CAV1, NUPR1 and Hsp90ab1, were lowly expressed in ovarian cancer cells. The results of the ScRNA-seq were verified using qPCR.DiscussionOur findings revealed differences in function, gene expression and cell interaction patterns between ovarian cancer and healthy ovarian cell populations. These findings provide key insights on further research into the treatment of ovarian cancer.

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Section: Scrna-seq Was Used To Examine Gene Expression Patterns Fromsupporting

confidence: 59%

Comparative analysis between high-grade serous ovarian cancer and healthy ovarian tissues using single-cell RNA sequencing

Zhang

Hong

et al. 2023

Front. Oncol.

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“…The Warburg effect, demonstrated by increased glycolytic intermediate labeling, decreased pyruvate dehydrogenase flow and decreased tricarboxylic acid cycle labeling, has been observed in various primary ccRCC cases (100). By regulating PARP1 expression, lipid metabolism-associated drugs simvastatin and tanshinone I inhibit proliferation of melanoma and renal tumour cells (101). Therefore, PARP inhibition may exert a synergistic inhibitory effect on tumor growth of ccRCC with other metabolic inhibitory molecules (97).…”

Section: Ddr Genes and Precision Treatment Of Renal Cancermentioning

confidence: 99%

Roles of DNA damage repair and precise targeted therapy in renal cancer (Review)

Lai

et al. 2022

Oncol Rep

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The primary subtypes of renal cell carcinoma (RCC) include clear cell, papillary and chromophobe RCC. RCC occurs often due to loss of von Hippel-Lindau (VHL) and accumulation of lipids and glycogen, and RCC cells may exhibit sensitivity to the disruption of normal metabolism or homologous recombination gene defect. Although the application of molecular-targeted drugs (tyrosine kinase inhibitors) and immune checkpoint inhibitors has been recommended for the treatment of advanced RCC, more targets of DNA damage

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Tanshinone I and simvastatin inhibit melanoma tumour cell growth by regulating poly (ADP ribose) polymerase 1 expression

Cited by 2 publications

References 33 publications

Comparative analysis between high-grade serous ovarian cancer and healthy ovarian tissues using single-cell RNA sequencing

Comparative analysis between high-grade serous ovarian cancer and healthy ovarian tissues using single-cell RNA sequencing

Roles of DNA damage repair and precise targeted therapy in renal cancer (Review)

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