Angelica sinensis polysaccharide combined with cisplatin reverses cisplatin resistance of ovarian cancer by inducing ferroptosis via regulating GPX4.

Cisplatin (DDP) resistance poses a significant challenge in the treatment of ovarian cancer. Studies have shown that the combination of certain polysaccharides derived from plants with DDP is an effective approach to overcoming drug resistance in some cancers. Angelica sinensis (Oliv.) Diels has been used for centuries in China to treat gynecological ailments. Numerous studies indicate that Angelica sinensis polysaccharide (ASP), an extract from Angelica sinensis, can inhibit various forms of cancer. However, the impact of ASP on ovarian cancer remains unexplored. Through both in vitro and in vivo experiments, our study revealed the capability of ASP to effectively reversing DDP resistance in cisplatin-resistant ovarian cancer cells, while exhibiting acceptable safety profiles in vivo. To elucidate the mechanism underlying drug resistance reversal, we employed RNA-seq analysis and identified GPX4 as a key gene. Considering the role of GPX4 in ferroptosis, we conducted additional research to explore the effects of combining ASP with DDP on SKOV3/DDP cells. In summary, our findings demonstrate that the combination of ASP and DDP effectively suppresses GPX4 expression in SKOV3/DDP cells, thereby reversing their resistance to DDP.

Identifying the Main Components and Mechanisms of Action of Artemisia annua L. in the Treatment of Endometrial Cancer Using Network Pharmacology.

Artemisia annua L. (A. annua), a Traditional Chinese Medicine (TCM) that has been utilized in China for centuries, is known for its potential anticancer properties. However, the main components and mechanism of action of A. annua on endometrial carcinoma have not been reported. We used the TCMSP database to identify the active components of A. annua and their corresponding gene targets. We then obtained the gene targets specific to endometrial cancer from The Cancer Genome Atlas (TCGA) and GeneCards databases. The gene targets common to three databases were selected, and a "component-target" network was constructed. Protein-protein interaction (PPI) network analysis and ranking of the target proteins identified the key protein PTGS2 network analysis, and ranking of the target proteins identified the key protein PTGS2. We also screened the active components of A. annua and found that quercetin, kaempferol, luteolin, isorhamnetin, artemisin, and stigmasterol had the most targets. Molecular docking models were established for these six components with PTGS2, revealing strong binding activity for all of them. Finally, we conducted validation experiments to assess the effects of quercetin, an active component of A. annua, on endometrial cancer cells (HEC-1-A and Ishikawa cells). Our findings demonstrate that quercetin has the potential to inhibit both cell growth and migration, while also suppressing the expression of PTGS2.