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Background. Fuzheng Yiliu decoction (FZYLD) was a traditional prescription with an antitumor effect. We aimed to explore the antitumor effect of FZYLD and its active ingredient, quercetin, on prostate cancer (PCa). Methods. The effective components and potential targets of FZYLD were obtained from the TCMSP, Herb, and Batman databases. The relationship between the active compounds of FZYLD and PCa’s potential targets or pathways was analyzed by Cytoscape 3.8.0 software and the String database. The compound composition of FZYLD was detected by HPLC. The effects of quercetin, with the most effective active ingredient of FZYLD, on PC-3 cell growth, metastasis, and PI3K/AKT pathway were seen by CCK-8 Kit, transwell experiment, TUNEL assay, nude mouse tumorigenesis test, and Western blot analysis. Results. Through network pharmacological analysis, we screened 195 effective active components of FZYLD, covering 290 targets, of which 198 were related to PCa. Quercetin, luteolin, kaempferol, anhydroicaritin, and 7-O-methylismucronulatol were important active compounds. MAPK1, AKT1, MAPK3, STAT3, and Jun were common targets of PCa and FZYLD. Our in vivo and in vitro experimental results confirmed that quercetin inhibited PCa’s growth, cell migration, and the PI3K/AKT pathway and promoted cell apoptosis. Conclusions. As predicted by the network pharmacological strategy and verified by the basic experimental results, FZYLD might play an antitumor role through multiple components, targets, and pathways. These results provide a new basis for developing and applying FZYLD and its compound quercetin.

This study aimed to investigate the effects and underlying molecular mechanisms of icariin (ICA) and curcumol on autophagy, ferroptosis, and lipid metabolism in prostate cancer (PCa), in vitro and in vivo. Normal prostate epithelial cells RWPE-1 and PCa cell lines DU145 and PC-3 were treated with ICA and curcumol. Ferrostatin-1 (Fer-1) or 3-MA was added to treat DU145 and PC-3 cells. In addition, we knocked down miR-7. The mechanism of ICA and curcumol in PCa cells after the knockdown of miR-7 was verified by in vitro nude mice tumorigenesis experiments. ICA and curcumol had no significant effect on the viability of RWPE-1 cells, but there was a significant difference between DU145 and PC-3 cells. After treatment with ICA and curcumol, the proliferation of PCa cells was inhibited, apoptosis, reactive oxygen species (ROS) levels, and miR-7 expression were increased. The combined treatment of ICA and curcumol had a more significant effect. ICA and curcumol treatment induced autophagy and ferroptosis in PCa cells, and si-miR-7 reversed the effects of ICA and curcumol on autophagy and ferroptosis. MiR-7 targeted mTOR and regulated the expression of the mTOR/SREBP1 pathway in PCa cells. ICA and curcumol may affect the lipid metabolism of PCa cells by affecting SREBP1. In addition, the effects and mechanisms of ICA and curcumol on autophagy, ferroptosis, and lipid metabolism in PCa cells were verified in vivo. ICA and curcumol synergistically regulated the miR-7/mTOR/SREBP1 pathway to induce autophagy and ferroptosis in PCa cells and affected lipid metabolism.

Background: Prostate cancer (PCa) is one of the most commonly diagnosed cancers and the fifth leading cause of cancer death in men. In this study, candidate biomarkers related to the diagnosis and prognosis of PCa were identified using bioinformatics approach. Methods: Differentially expressed genes (DEGs) between PCa tissues and matched normal tissues were screened using the R software. Enrichment analysis of the DEGs was performed to determine their functions and related pathways. PPI network was constructed, and 10 hub genes were screened using the STRING database and Cytoscape software. Weighted gene co-expression network analysis (WGCNA) was performed to extract key module genes, from which 5 key genes were identified by Venn diagram. Receiver operating characteristic (ROC) analysis was performed to identify the diagnostic value of the key genes, and their prognostic value was verified via survival analysis, which was further validated using the Human Protein Atlas. Results: We identified 661 DEGs (249 upregulated and 412 downregulated) between the PCa group and healthy controls. Overlap of PPI and WCCNA networks identified 5 key genes: BUB1B, HMMR, RRM2, CCNA2 and MELK, as candidate biomarkers for PCa. Although ROC analysis suggested that these genes had diagnostic potential in PCa, survival analysis showed that RRM2 and BUB1B were significantly associated with PCa prognosis. Conclusion: Our results showed that BUB1B, HMMR, RRM2, CCNA2 and MELK could be diagnostic biomarkers for PCa, while RRM2 and BUB1B were also associated with prognosis and could be potential therapeutic targets for PCa.

RNA modification is an important part of epigenetic regulation. However, the relationship between RNA modification writers and prostate cancer (PCa) remains unclear. We obtained transcriptome data from The Cancer Genome Atlas; the expression of writers for four RNA modifications (N6-methyladenosine, N1-methyladenosine, alternative polyadenylation and adenosine-to-inosine RNA editing) was altered in PCa tissue when compared with normal tissue. RNA modification writers affect the expression of immune checkpoints. Gene ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses revealed that the RNA modification was related to the cell cycle. Hub genes were screened using machine learning, and a risk score model was established using multivariate Cox analysis. Univariate and multivariate Cox analyses showed that a risk score model based on RNA modification writers could be an independent prognostic factor for PCa. In conclusion, our study showed that RNA modification writers are differentially expressed in PCa and might influence the development of PCa by regulating immune checkpoints and the cell cycle. The risk score model of RNA modification writers is predicted to be an independent prognostic factor for PCa. Thus, RNA modification writers might be used as potential indicators for the clinical diagnosis of PCa.

Benign prostatic hyperplasia (BPH) is a common urological disease in older males. Existing pharmacotherapy shows several side effects, and the exploration of new therapeutic strategies is of high significance. Tonglong Qibi (TQ) decoction was proved to ameliorate BPH, while the underlying mechanisms are still unclear. In the current study, we explored the anti-BPH effects of TQ in vivo and identified its main therapeutic component and the underlying mechanisms in vitro. We demonstrated that TQ mitigated BPH in rats and showed no toxicity to the liver and reproductive system. Network pharmacology identified quercetin as the main component in TQ treating BPH. Quercetin reduced proliferation, oxidative stress, and increased Nrf2 expression in hyperplastic prostate epithelial cells. These findings indicate that quercetin in TQ alleviates BPH via inhibiting oxidative stress and activating the Nrf2 signalling pathway.

Aim. This study aimed to learn the antineoplastic activity of curcumol (Cur) on prostate cancer (PCa) and elucidate its potential molecular mechanism. Methods. The proliferation, invasion, and migration of PCa cells (PC3 and 22RV1) were detected by the cell counting kit 8 (CCK8), transwell, and wound healing assay, respectively. The expression of genes and proteins was analyzed by quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting (WB), respectively. The protein expression in tissues and cells was tested through immunohistochemistry (IHC) and immunocytochemistry (ICC). Enzyme-linked immunosorbent assay (ELISA) was utilized to quantify the level of epidermal growth factor (EGF) and vascular endothelial growth factor (VEGF). The interaction between microRNA125a (miR-125a) and the signal transducer and activator of transcription 3 (STAT3) was confirmed via dual-luciferase reporter assay. Results. Cur effectively restrained the proliferation, invasion, and migration of PC3 and 22RV1 cells. After Cur intervention, miR-125a, miR-375, miR-149, miR-183, and miR-106b were all upregulated in PC3 cells, among which miR-125a was the most significantly upregulated. Dual-luciferase reporter assay combined with qRT-PCR and WB experiments confirmed that miR-125a targeted STAT3. Both in vitro and in vivo, Cur enhanced miR-125a expression and suppressed the activation of the STAT3 pathway in PCa. Also, Cur effectively inhibited the growth of PCa. Conclusion. Cur inhibited the development of PCa by miR-125a/STAT3 axis. This may provide a potential agent for treating PCa.

The present study aimed to investigate the molecular mechanism of the Astragalus-Scorpion drug pair in the treatment of prostate cancer (PCa). We employed network pharmacology and molecular docking technology to retrieving the active ingredients and corresponding targets of Astragalus-Scorpion by using TCMSP, BATMAN-TCM, TCMID and Swiss Target Prediction Databases. The targets related to PCa were retrieved through GeneCards. Cytoscape software was used to construct the 'active ingredient-target disease' network, and GO and KEGG enrichment analyses were performed on the common targets. Autodock software was used for molecular docking verification. In total, 26 active ingredients, 340 potential targets related to active ingredients and 122 common targets were screened from Astragalus-Scorpion drug pair. The core targets of the protein-protein interaction (PPI) network were JUN, AKT1, IL6, MAPK1 and RELA, whereas the core active ingredients were quercetin, kaempferol, formononetin, 7-o-methylisomucronulatol and calycosin. Nearly 762 GO entries and 154 pathways were obtained by using the pathway enrichment analysis. Molecular docking results revealed that quercetin and kaempferol bind to AKT1 and formononetin binds to RELA, all of which were found to be stable bounds.

Curcumol has been reported to exert anti‑tumor activity, but its intrinsic molecular mechanism in prostate cancer remains to be elucidated. The present study aimed to analyze the effect of curcumol on prostate cancer and identify its possible internal regulatory pathway using in vitro cell culture and in vivo tumor model experiments. The cytotoxicity of curcumol was detected using a Cell Counting Kit‑8 assay and it was found that curcumol had no obvious toxicity or side effects on RWPE‑1 cells. Wound healing, Transwell and flow cytometry assays demonstrated that curcumol could affect the activity of PC3 cells. The luciferase reporter assay also indicated that microRNA (miR)‑9 could directly target pyruvate dehydrogenase kinase 1 (PDK1). After PC3 cells were transfected with miR‑9 inhibitor or treated with curcumol, the expression levels of the PDK1/AKT/mTOR signaling pathway‑related proteins [PDK1, phosphorylated (p)‑AKT and p‑mTOR] were increased or decreased, respectively. Next, the prostate cancer cell xenograft model was established. Tumor size and the expression levels of PDK1/AKT/mTOR signaling pathway‑related factors were altered following treatment with curcumol. The in vitro and in vivo experiments collectively demonstrated that curcumol could inhibit the PDK1/AKT/mTOR signaling pathway by upregulating the expression level of miR‑9. The present study found that curcumol regulates the PDK1/AKT/mTOR signaling pathway via miR‑9 and affects the development of prostate cancer. These findings could provide a possible scientific insight for research into treatments for prostate cancer.

Objective: To investigate the molecular mechanism of Astragalus-Scorpion in the treatment of prostate cancer by network pharmacology and molecular docking technology. Methods: Using TCMSP, BATMAN-TCM, TCMID and Swiss TargetPrediction Databases to retrieve the active ingredients and corresponding targets of Astragalus-Scorpion. The targets related to prostate cancer were retrieved through GeneCards, so as to obtain the common targets of Astragalus-Scorpion and prostate cancer. The common targets were input into the STRING database for protein interaction analysis. Cytoscape software was used to construct the active “ingredient-target-disease” network, and GO and KEGG enrichment analysis were performed on the common targets. To screen the core ingredients and targets that play therapeutic roles, Autodock software was used for molecular docking verification. Results: 27 active ingredients, 340 potential targets related to active ingredients, 898 targets related to disease and 122 common targets were screened from Astragalus-Scorpion totally. The core targets of PPI network were JUN, AKT1, IL6, MAPK1 and RELA, while the core active ingredients in the active ingredient-target-disease network were quercetin, kaempferol, formononetin, 7-o-methylisomucronulatol and calycosin.762 GO entries and 154 pathways were obtained by enrichment analysis totally. The molecular docking results showed that quercetin binds to AKT1 and RELA, kaempferol to AKT1, and formononetin to RELA, all of which were stable. Conclusion: Quercetin, kaempferol and others in the Astragalus-Scorpion can regulate multiple signaling pathways such as PI3K-Akt signaling pathway by binding to targets such as AKT1 related to prostate cancer, inhibit the proliferation of tumor to play a role for prostate cancer.

Objective: To investigate the molecular mechanism of Astragalus-Scorpion in the treatment of prostate cancer by network pharmacology and molecular docking technology.Methods: Using TCMSP, BATMAN-TCM, TCMID and Swiss TargetPrediction Databases to retrieve the active ingredients and corresponding targets of Astragalus-Scorpion. The targets related to prostate cancer were retrieved through GeneCards, so as to obtain the common targets of Astragalus-Scorpion and prostate cancer. The common targets were input into the STRING database for protein interaction analysis. Cytoscape software was used to construct the active “ingredient-target-disease” network, and GO and KEGG enrichment analysis were performed on the common targets. To screen the core ingredients and targets that play therapeutic roles, Autodock software was used for molecular docking verification. Results: 27 active ingredients, 340 potential targets related to active ingredients, 898 targets related to disease and 122 common targets were screened from Astragalus-Scorpion totally. The core targets of PPI network were JUN, AKT1, IL6, MAPK1 and RELA, while the core active ingredients in the active ingredient-target-disease network were quercetin, kaempferol, formononetin, 7-o-methylisomucronulatol and calycosin.762 GO entries and 154 pathways were obtained by enrichment analysis totally. The molecular docking results showed that quercetin binds to AKT1 and RELA, kaempferol to AKT1, and formononetin to RELA, all of which were stable. Conclusion: Quercetin, kaempferol and others in the Astragalus-Scorpion can regulate multiple signaling pathways such as PI3K-Akt signaling pathway by binding to targets such as AKT1 related to prostate cancer, inhibit the proliferation of tumor to play a role for prostate cancer.

Docetaxel (Doc) is the gold standard of care for castration-resistant prostate cancer (CRPC) patients, although the therapeutic effects are modest. Fuzheng Yiliu decoction (FZYL) comprises multiple herbs, and has been used for >10 years to treat various cancers, including hepatocellular tumors, malignant gastrointestinal tumors, and prostate cancer. In the study reported, we evaluated the anticancer effects of FZYL and of a combination of Doc and FZYL in CRPC tumor-bearing mice, and explored the underlying mechanisms. PC-3 tumor-bearing mice were treated with FZYL, Doc, Doc + FZYL or vehicle solution. Tumor volume was monitored, and tumor weight, proliferation and apoptosis of tumor tissues were measured. Deep sequencing was used to profile the miRNA expression patterns in tumor tissues. Our results suggested that FZYL alone could depress tumor growth, and the combination of Doc and FZYL treatment exhibited enhanced anticancer effects. Doc + FZYL regulated the expression of 10 miRNAs: miR-34b-5p, miR-674-3p, miR-140-3p, miR-342-3p, miR-214-3p, miR-149-5p, miR-378c, miR-29b-3p, miR-218-5p, and miR-378a-3p, involving in the PI3K-Akt pathway in the treatment of CRPC.