Ophiopogonin D inhibits cell proliferation and induces apoptosis of human laryngocarcinoma through downregulation of cyclin B1 and MMP-9 and upregulation of p38-MAPK signaling

Ophiopogonin D: review of pharmacological activity

Background

Ophiopogon D is an important natural organic compound in Ophiopogon japonicus, which often has significant biological activity.

Purpose

The purpose of this review is to systemically summarize and discuss the pharmacological activity and underlying mechanisms of OP-D in recent years.

Method

PubMed and Web of Science were searched with the keywords:"Ophiopogon japonicus", "Ophiopogon D" "pharmacology", and "pharmacokinetics". There was no restriction on the publication year, and the last search was conducted on 1 Jan 2024.

Results

Emerging evidence suggests that OP-D possess numerous pharmacological activities, including bone protection, cardiovascular protection, immune regulation, anti-cancer, anti-atherosclerosis, anti-inflammatory and anti-NAFLD.

Conclusion

OP-D has a potential value in the prevention and treatment of many diseases. We hope that this review will contribute to therapeutic development and future studies of OP-D.

Nomogram for predicting survival in T1-T2 stage patients with supraglottic squamous cell carcinoma

BACKGROUND

Supraglottic squamous cell carcinoma (SGSCC) is characterized by low differentiation, rapid growth, and inconspicuous initial manifestations. Early detection and prompt treatment can significantly improve survival rates. The main focus of treatment is to maintain optimal laryngeal function.

METHODS

Using the Surveillance, Epidemiology, and End Results (SEER) database, we conducted univariate and multivariate Cox regression analyses to identify independent prognostic factors for T1-T2 SGSCC. We also enrolled 109 patients with T1-T2 SGSCC from the First Affiliated Hospital of Xinjiang Medical University as an external validation set. In addition, we developed a nomogram to predict the prognosis of T1-T2 SGSCC, assessed the predictive accuracy and discriminatory ability of the nomogram using the area under the curve (AUC), C-index, receiver operating characteristic (ROC) curve and calibration curve, and confirmed the clinical validity of the nomogram using decision curve analysis (DCA).

RESULTS

Our investigation identified nine prognostic indicators for T1-T2 SGSCC: age (≥ 65 years), marital status, American Joint Committee on Cancer (AJCC) stage (II-IV), grade (III-IV), M stage (M1), radiotherapy, chemotherapy, sex (female), and surgery. These variables were used to create accurate nomograms that predict overall and specific survival rates at 1, 3, and 5 years. The nomograms demonstrated superior prognostic value and accuracy compared to AJCC staging. Laryngectomy with partial laryngectomy is the preferred treatment option for T1-T2 SGSCC cases, providing superior overall survival (OS) and cancer-specific survival (CSS). Radiotherapy also improves OS and CSS. Our results were based on a comprehensive analysis of various indicators, including the C-index, ROC curve, calibration curve, and DCA curve.

CONCLUSION

Nomograms provide significant advantages in treatment decision making and diagnosis. Laryngectomy with partial laryngectomy is the most appropriate method for T1-T2 SGSCC cases. However, radiotherapy can also be used. Thus, patients with T1-T2 SGSCC should be evaluated to determine if combination therapy is the optimal treatment approach. Nevertheless, further research is needed to understand the role of chemotherapy. Overall, this study identified nine key predictors of future outcomes, aiding healthcare professionals in assessing risks and making treatment decisions for T1-T2 SGSCC patients.

Effect of ophiopogonin D on the pharmacokinetics and transport of cryptotanshinone during their co-administration and the potential mechanism

Cryptotanshinone and ophiopogonin D are sourced from herbs with similar indications. It is necessary to evaluate their interaction to provide a reference for their clinical prescriptions. The co-administration of cryptotanshinone (30 and 60 mg/kg) and ophiopogonin D was carried out in Sprague-Dawley rats and the pharmacokinetics of cryptotanshinone were analyzed. The Caco-2 cells were employed to evaluate the transport of cryptotanshinone, and the metabolic stability was studied in the rat liver microsomes. Ophiopogonin D significantly increased the Cmax (from 5.56 ± 0.26 to 8.58 ± 0.71 μg/mL and from 15.99 ± 1.81 to 185.12 ± 1.43 μg/mL), half-life (21.72 ± 10.63 vs. 11.47 ± 3.62 h and 12.58 ± 5.97 vs. 8.75 ± 2.71 h) and decreased the clearance rate (0.697 ± 0.36 vs. 1.71 ± 0.15 L/h/kg) and (60 mg/kg and 0.101 ± 0.02 vs. 0.165 ± 0.05 L/h/kg) of cryptotanshinone. In vitro, ophiopogonin D significantly suppressed the transport of cryptotanshinone with the decreasing efflux rate and enhanced the metabolic stability with the reducing intrinsic clearance. The combination of cryptotanshinone and ophiopogonin D induced prolonged exposure and suppressed the transport of cryptotanshinone, which indicated the decreased bioavailability of cryptotanshinone.

Natural Products as Anticancer Agents: Current Status and Future Perspectives

Natural products have been an invaluable and useful source of anticancer agents over the years. Several compounds have been synthesized from natural products by modifying their structures or by using naturally occurring compounds as building blocks in the synthesis of these compounds for various purposes in different fields, such as biology, medicine, and engineering. Multiple modern and costly treatments have been applied to combat cancer and limit its lethality, but the results are not significantly refreshing. Natural products, which are a significant source of new therapeutic drugs, are currently being investigated as potential cytotoxic agents and have shown a positive trend in preclinical research and have prompted numerous innovative strategies in order to combat cancer and expedite the clinical research. Natural products are becoming increasingly important for drug discovery due to their high molecular diversity and novel biofunctionality. Furthermore, natural products can provide superior efficacy and safety due to their unique molecular properties. The objective of the current review is to provide an overview of the emergence of natural products for the treatment and prevention of cancer, such as chemosensitizers, immunotherapeutics, combinatorial therapies with other anticancer drugs, novel formulations of natural products, and the molecular mechanisms underlying their anticancer properties.

Application of an Interpretable Machine Learning Model to Predict Lymph Node Metastasis in Patients with Laryngeal Carcinoma

Objectives

A more accurate preoperative prediction of lymph node metastasis (LNM) plays a decisive role in the selection of treatment in patients with laryngeal carcinoma (LC). This study aimed to develop a machine learning (ML) prediction model for predicting LNM in patients with LC.

Methods

We collected and retrospectively analysed 4887 LC patients with detailed demographical characteristics including age at diagnosis, race, sex, primary site, histology, number of tumours, T-stage, grade, and tumour size in the National Institutes of Health (NIH) Surveillance, Epidemiology, and End Results (SEER) database from 2005 to 2015. A correlation analysis of all variables was evaluated by the Pearson correlation. Independent risk factors for LC patients with LNM were identified by univariate and multivariate logistic regression analyses. Afterward, patients were randomly divided into training and test sets in a ratio of 8 to 2. On this basis, we established logistic regression (LR), k-nearest neighbor (KNN), support vector machine (SVM), extreme gradient boosting (XGBoost), random forest (RF), and light gradient boosting machine (LightGBM) algorithm models based on ML. The area under the receiver operating characteristic curve (AUC) value, accuracy, precision, recall rate, F1-score, specificity, and Brier score was adopted to evaluate and compare the prediction performance of the models. Finally, the Shapley additive explanation (SHAP) method was used to interpret the association between each feature variable and target variables based on the best model.

Results

Of the 4887 total LC patients, 3409 were without LNM (69.76%), and 1478 had LNM (30.24%). The result of the Pearson correlation showed that variables were weakly correlated with each other. The independent risk factors for LC patients with LNM were age at diagnosis, race, primary site, number of tumours, tumour size, grade, and T-stage. Among six models, XGBoost displayed a better performance for predicting LNM, with five performance metrics outperforming other models in the training set (AUC: 0.791 (95% CI: 0.776–0.806), accuracy: 0.739, recall rate: 0.638, F1-score: 0.663, and Brier score: 0.165), and similar results were observed in the test set. Moreover, the SHAP value of XGBoost was calculated, and the result showed that the three features, T-stage, primary site, and grade, had the greatest impact on predicting the outcomes.

Conclusions

The XGBoost model performed better and can be applied to forecast the LNM of LC, offering a valuable and significant reference for clinicians in advanced decision-making.

Circular RNA circ-ABCB10 Promotes Proliferation and Inhibits Apoptosis of Laryngeal Carcinoma by Inhibiting KLF6

Objective

To explore the effect of circular RNA circ-ABCB10 on the proliferation and apoptosis of laryngeal carcinoma via inhibiting KLF6.

Methods

RT-qPCR assay was adopted to detect the expression of circ-ABCB10 and KFL6 in laryngeal carcinoma tissues and cell lines. Cell counting kit-8 (CCK-8) and clone formation assay were employed to detect laryngeal cancer cell viability and proliferation when circ-ABCB10 was silenced or upregulated. In this study, the apoptosis rate was detected by flow cytometry and the protein expression was detected by Western blotting. Wound healing and cross-hole invasion were used to study the migration and invasion of laryngeal cancer cells when circ-ABCB10 was silenced or upregulated.

Results

The results of RT-qPCR detection indicated that the expression of circ-ABCB10 in all three laryngeal carcinoma cells was downregulated by 3.2 times compared with that of HaCat cells. There is low expression of circ-ABCB10 in most laryngeal carcinoma tissues, the diagnostic cutoff value of circ-ABCB10 is 0.0008, the area under the curve is 0.718, the sensitivity is 0.981, and the specificity is 0.556. The expression level of KLF6 in laryngeal carcinoma is on the rise, which is significantly higher compared to healthy tissues (P < 0.05); 48 hours after transfection, RT-qPCR analysis confirmed the transfection efficiency, and upregulation of circ-ABCB10 could significantly promote cell proliferation. Compared with the control group, silencing circ-MTCL1 could inhibit cell proliferation, overexpression of circ-ABCB10 promoted cell migration, and downregulation of circ-ABCB10 significantly inhibited cell movement (P < 0.001). Upregulation of circ-ABCB10 significantly enhanced the invasiveness and motility of laryngeal cancer cells, while downregulation of circ-ABCB10 was the opposite. Compared with the KLF6 NC group, KLF6 level increased significantly in the KLF6 group, while cell viability, colony formation, scratch healing rate, invasive cell number, and Bcl-2 expression level decreased significantly in the KLF6 group, while apoptosis rate and Bax expression level increased significantly (P < 0.05). KLF6 level in the si-circ-ABCB10+anti-KLF6 group was significantly lower than that in the si-circ-ABCB10+anti-KLF6-NC group (P < 0.05). Meanwhile, the cell activity, colony formation number, cell scratch healing rate, number of invaded cells, and Bcl-2 all indicated an upward trend, while the cell apoptosis rate and Bax expression indicated a downward trend (P < 0.05).

Conclusion

The expression of circ-ABCB10 in laryngeal carcinoma was significantly higher compared to that in paracancerous tissues. Silencing circ-ABCB10 could significantly inhibit the growth and proliferation of laryngeal adenocarcinoma cells, while overexpression of circ-ABCB10 could significantly promote the growth of laryngeal adenocarcinoma cells, probably by inhibiting KLF6 to enhance the proliferation of laryngeal carcinoma and inhibit apoptosis.

Ophiopogonin D Inhibiting Epithelial NF-κB Signaling Pathway Protects Against Experimental Colitis in Mice

The sustained activation of the nuclear factor κB (NF-κB) signaling pathway has been observed in human inflammatory bowel disease (IBD). Ophiopogonin D (OP-D) is a small molecular compound isolated from Ophiopogon japonicus, a widely used herbal remedy. In this study, dextran sodium sulfate was used to make a mouse model of experimental colitis and verify the effect of OP-D on the mouse model of experimental colitis. Small molecule-protein molecular docking approaches were also used to discover the mechanisms underlying the OP-D-induced regulation of colitis. In colitis, the OP-D can inhibit the apoptosis of intestinal mucosa cells, restore the intestinal barrier, and alleviate inflammation. The molecular docking simulations showed that OP-D had a high affinity with the REL-homology domain of NF-κB-p65 that affected its translocation to the nucleus. In a cell study, the effects of OP-D on inflammation and barrier dysfunction were significantly decreased by a small interfering RNA targeting NF-κB-p65. Further, the LPS-induced increase in NF-κB-p65 in the nucleus was also significantly inhibited by OP-D. OP-D alleviated experimental colitis by inhibiting NF-κB. New insights into the pathogenesis and treatment options of colitis are provided through this study.