Circular RNAs (circRNAs) are a type of endogenous noncoding RNAs with covalently looped structures. Compared with other noncoding RNAs, circRNAs have the characteristics of stable structures, high abundance and tissue-specific expression. Recent studies have demonstrated that circRNAs can act as sponges, decoys and scaffolds for microRNAs and proteins, and play an important role in skin tumors. This review summarizes recent advances in the functions and mechanisms of action of circRNAs in common skin tumors, in order to understand the way in which they affect skin tumors, and to assess the value of further research on them.

Objective To develop a machine learning model integrating preoperative chest CT radiomic features with clinical data for predicting 5-year postoperative recurrence risk in stage Ⅰ non-small cell lung cancer(NSCLC)patients undergoing surgical resection.Methods A total of 217 patients with pathologically confirmed stage Ⅰ NSCLC(selected from 778 initially screened cases based on our inclusion and exclusion criteria)treated in Army Medical Center of PLA between January 2014 and December 2019 were retrospectively enrolled,including 53 recurrence cases and 164 non-recurrence cases within 5-year follow-up.They were randomly divided into a training set(n=173)and a validation set(n=44)in a ratio of 8:2.Radiomic models were established based on extracted features from tumor-dominant regions of interest(ROI)on CT images,while clinical models were developed using demographic characteristics and preoperative laboratory examinations.A combined model was further constructed by integrating both feature sets,and model performance was compared to identify the optimal predictive model.Results This study screened the features from non-contrast CT images and ultimately selected 7 radiomic features for constructing radiomic model.Among 6 machine learning algorithms,the adaptive boosting(Adaboost)model demonstrated the best overall predictive performance,with an area under the curve(AUC)of 0.866(95%CI:0.808～0.923;accuracy:0.832,specificity:0.884)in the training set and of 0.806(95%CI:0.630～0.983;accuracy:0.795,specificity:0.971)in the validation set.Univariate and multivariate logistic regression analyses identified 4 clinical features for clinical model construction.The clinical model achieved an AUC value of 0.874(95%CI:0.821～0.928;accuracy:0.827,specificity:0.891)in the training set and 0.813(95%CI:0.677～0.948;accuracy:0.636,specificity:0.600)in the validation set.By integrating the 7 radiomic features and 4 clinical features using a feature-level fusion strategy,the combined model exhibited further improved predictive performance,with an AUC value of 0.953(95%CI:0.924～0.983;accuracy:0.884,specificity:0.860)and 0.852(95%CI:0.729～0.976;accuracy:0.682,specificity:0.629),respectively in the training set and the validation set.Conclusion The combined model integrating preoperative CT radiomic features with clinical risk factors may provide an evidence-based framework for evaluating 5-year postoperative recurrence risk in stage Ⅰ NSCLC patients.

Osteosarcoma (OS) is the most prevalent primary malignant bone tumor affecting children and adolescents. Despite ongoing research efforts, the 5-year survival rate has remained stagnant for many years, highlighting the critical need for novel drug development to enhance current treatment protocols. Ziyuglycoside II (ZYG II), a triterpenoid saponin extracted from S. officinalis, has recently demonstrated antitumor properties. This study evaluates the antitumor effect of ZYG II on osteosarcoma and elucidates its mechanism of action through the co-regulation of p53 and estrogen-related receptor gamma (ESRRG), which inhibits disease progression. The research employs in vitro experiments using multiple established osteosarcoma cell lines, as well as in vivo studies utilizing a nude mouse model of orthotopic xenograft osteosarcoma. Additionally, ESRRG shRNA was used to construct stable ESRRG-reducing OS cell lines to investigate the molecular mechanism by which ZYG II exerts its anti-osteosarcoma effects through the co-regulation of ESRRG and p53. Results indicate that ZYG II administration led to decreased OS cell viability and reduced tumor volumes. Furthermore, cell cycles were arrested at the G₀/G₁ phase, while the proportion of apoptotic cells increased. Expression of p53, ESRRG, p21, Bax, Cleaved Caspase-9, and Cleaved Caspase-3 proteins increased, while expression of CDK4, Cyclin D1, and Bcl-2 proteins decreased. Multiple ZYG II and ESRRG docking patterns were simulated through molecular docking. Comparing the pharmacodynamic response of ZYG II to OS cell lines with reduced ESRRG and normal expression demonstrated that ZYG II inhibits osteosarcoma progression, induces cell cycle arrest, and promotes cell apoptosis through the coordination of p53 and ESRRG. In conclusion, ZYG II inhibits osteosarcoma progression, leads to cell cycle arrest, and promotes cell apoptosis through synergistic regulation of p53 and ESRRG.
Osteosarcoma/physiopathology* ; Tumor Suppressor Protein p53/genetics* ; Humans ; Animals ; Saponins/chemistry* ; Bone Neoplasms/physiopathology* ; Signal Transduction/drug effects* ; Cell Line, Tumor ; Mice, Nude ; Mice ; Apoptosis/drug effects* ; Receptors, Estrogen/genetics* ; Mice, Inbred BALB C ; Female ; Male ; Xenograft Model Antitumor Assays

Objective:To investigate the outcomes of natural cycle (NC) and modified natural cycle (MNC) assisted reproductive technology (ART) in patients with diminished ovarian reserve (DOR), and to provide a scientific basis for individualized treatment strategies for DOR patients.Methods:A retrospective cohort analysis was performed on the clinical data of DOR patients who underwent ART at the Center for Reproductive Medicine of the Department of Obstetrics and Gynecology, Peking University Third Hospital from January 1, 2015 to December 31, 2023. Patients were divided into the NC group ( n=801) and the MNC group ( n=385) based on their treatment protocol. The primary outcomes were cycle cancellation rate and oocyte retrieval rate. Secondary outcomes included clinical pregnancy rate and live birth rate per fresh embryo transfer cycle and frozen-thawed embryo transfer cycle, cumulative pregnancy rate and cumulative live birth rate per started cycle and per transfer cycle, as well as laboratory parameters such as the number of retrieved oocytes, the number of two pronuclei (2PN) fertilized oocytes, the number of transferable embryos, and transferable embryo formation rate. Further, multivariate logistic regression was used to analyze the impact of the treatment protocol on pregnancy and live birth outcomes. Results:There were no statistically significant differences between the NC and MNC groups in terms of general characteristics such as age, body mass index, and baseline hormone levels (all P>0.05). The cycle cancellation rate was significantly higher in the NC group [19.10% (153/801)] than in the MNC group [10.65% (41/385), P<0.001], and the oocyte retrieval rate was significantly lower in the NC group [66.31% (431/650)] than in the MNC group [74.86% (259/346), P=0.005]. The number of retrieved oocytes [1 (0,1)], the number of 2PN fertilized oocytes [1 (0,1)], and the number of transferable embryos [0 (0, 1)] were also significantly lower in the NC group than in the MNC group [1 (1, 2), P<0.001; 1 (1, 1), P<0.001; 0 (0, 1), P<0.001]. However, there were no statistically significant differences in 2PN fertilization rate and transferable embryo formation rate between the NC and MNC groups (all P>0.05). In both fresh embryo transfer cycles and frozen-thawed embryo transfer cycles, there were no statistically significant differences in clinical pregnancy rate and live birth rate between the NC and MNC groups (all P>0.05). The cumulative pregnancy rate per started cycle and transfer cycle, the cumulative live birth rate per started cycle and per transfer cycle were also not significantly different between the NC and MNC groups (all P>0.05). Multivariate logistic analysis showed no significant association between NC and clinical pregnancy or live birth compared with MNC. Conclusion:While MNC to some extent reduced the cycle cancellation rate and improved oocyte retrieval rates compared with NC, it did not ultimately improve pregnancy outcomes in DOR patients.

AIM:Fine particulate matter(PM2.5)is closely associated with airway hyper-responsiveness(AHR).However,the underlying mechanism by which PM2.5 leads to AHR is still unclear.This study aimed to investi-gate the respiratory effects of ambient PM2.5 exposure.METHODS:Forty mice were randomly divided into five groups:control group(intranasal saline),lipopolysaccharide(LPS)group(100 mg/L),PM2.5 low-dose group(0.003 5 mg/d),PM2.5 medium-dose group(0.007 mg/d),and PM2.5 high-dose group(0.014 mg/d).They were treated with intranasal in-stillation for 30 d.Lung function and tracheal contractile responses were evaluated using whole-body plethysmography and sensitive wire myograph.Inflammatory mediators in serum and oxidative stress parameters were detected using enzyme-linked immunosorbent assay(ELISA).Lung tissues were subjected to HE and Masson staining.RT-qPCR and Western blot were used to determine the expression of contractile receptors and the phosphorylation of the mitogen-activated protein kinase(MAPK)signal pathway.RESULTS:Intranasal instillation of PM2.5 significantly increased airway resistance in mice and enhanced tracheal contractility in response to carbachol.PM2.5 elevated levels of tumor necrosis factor-α(TNF-α),interleukin(IL)-1β,and IL-6 in serum.PM2.5 instillation also led to a decrease in glutathione peroxidase(GSH-Px)levels and an increase in malondialdehyde(MDA)levels.Lung tissue exhibited notable pathological changes,including inflammatory cell infiltration,hyperplasia of alveolar epithelial cells,and collagen deposition.Mechanistically,exposure to PM2.5 increased the expression of muscarinic M3 receptor mRNA and protein,as well as the phosphorylation of p-ERK1/2 and p-p38 proteins following PM2.5 instillation.CONCLUSION:Intranasal instillation of PM2.5 induced inflammation and oxidative stress,along with the activation of the extracellular signal-regulated kinase 1/2(ERK1/2)and p38 MAPK pathways,resulting in the upregulation of M3 receptor-induced AHR.

Objective Traditional methods for sample size estimation in clinical trial do not consider the patient size applicable to the results during the estimation process,and use point estimation for unknown true values of parameters,which has certain limitations in rare disease clinical trials.This article introduces a sample size estimation method based on Bayesian decision theory.Methods This article proposes a Tripartite Balanced Benefit Function(TBBF)and constructs a benefit function model based on the characteristics of acute and chronic diseases.The sample size in clinical trial is determined by maximizing expected benefits.Results The case analysis of hemophilia B demonstrated the application process of the model,and the sample size obtained by maximizing expected benefits is feasible in practical situations.This method has the advantage of being suitable for estimating sample sizes in small sample clinical trials.Conclusion TBBF fully utilizes prior information,incorporates patient size into the estimation process,and makes the quantitative form of different stakeholders'interests clearer,making the decision-making process more scientific and interpretable.

Objective:To investigate the outcomes of natural cycle (NC) and modified natural cycle (MNC) assisted reproductive technology (ART) in patients with diminished ovarian reserve (DOR), and to provide a scientific basis for individualized treatment strategies for DOR patients.Methods:A retrospective cohort analysis was performed on the clinical data of DOR patients who underwent ART at the Center for Reproductive Medicine of the Department of Obstetrics and Gynecology, Peking University Third Hospital from January 1, 2015 to December 31, 2023. Patients were divided into the NC group ( n=801) and the MNC group ( n=385) based on their treatment protocol. The primary outcomes were cycle cancellation rate and oocyte retrieval rate. Secondary outcomes included clinical pregnancy rate and live birth rate per fresh embryo transfer cycle and frozen-thawed embryo transfer cycle, cumulative pregnancy rate and cumulative live birth rate per started cycle and per transfer cycle, as well as laboratory parameters such as the number of retrieved oocytes, the number of two pronuclei (2PN) fertilized oocytes, the number of transferable embryos, and transferable embryo formation rate. Further, multivariate logistic regression was used to analyze the impact of the treatment protocol on pregnancy and live birth outcomes. Results:There were no statistically significant differences between the NC and MNC groups in terms of general characteristics such as age, body mass index, and baseline hormone levels (all P>0.05). The cycle cancellation rate was significantly higher in the NC group [19.10% (153/801)] than in the MNC group [10.65% (41/385), P<0.001], and the oocyte retrieval rate was significantly lower in the NC group [66.31% (431/650)] than in the MNC group [74.86% (259/346), P=0.005]. The number of retrieved oocytes [1 (0,1)], the number of 2PN fertilized oocytes [1 (0,1)], and the number of transferable embryos [0 (0, 1)] were also significantly lower in the NC group than in the MNC group [1 (1, 2), P<0.001; 1 (1, 1), P<0.001; 0 (0, 1), P<0.001]. However, there were no statistically significant differences in 2PN fertilization rate and transferable embryo formation rate between the NC and MNC groups (all P>0.05). In both fresh embryo transfer cycles and frozen-thawed embryo transfer cycles, there were no statistically significant differences in clinical pregnancy rate and live birth rate between the NC and MNC groups (all P>0.05). The cumulative pregnancy rate per started cycle and transfer cycle, the cumulative live birth rate per started cycle and per transfer cycle were also not significantly different between the NC and MNC groups (all P>0.05). Multivariate logistic analysis showed no significant association between NC and clinical pregnancy or live birth compared with MNC. Conclusion:While MNC to some extent reduced the cycle cancellation rate and improved oocyte retrieval rates compared with NC, it did not ultimately improve pregnancy outcomes in DOR patients.

Objective Traditional methods for sample size estimation in clinical trial do not consider the patient size applicable to the results during the estimation process,and use point estimation for unknown true values of parameters,which has certain limitations in rare disease clinical trials.This article introduces a sample size estimation method based on Bayesian decision theory.Methods This article proposes a Tripartite Balanced Benefit Function(TBBF)and constructs a benefit function model based on the characteristics of acute and chronic diseases.The sample size in clinical trial is determined by maximizing expected benefits.Results The case analysis of hemophilia B demonstrated the application process of the model,and the sample size obtained by maximizing expected benefits is feasible in practical situations.This method has the advantage of being suitable for estimating sample sizes in small sample clinical trials.Conclusion TBBF fully utilizes prior information,incorporates patient size into the estimation process,and makes the quantitative form of different stakeholders'interests clearer,making the decision-making process more scientific and interpretable.

AIM:Fine particulate matter(PM2.5)is closely associated with airway hyper-responsiveness(AHR).However,the underlying mechanism by which PM2.5 leads to AHR is still unclear.This study aimed to investi-gate the respiratory effects of ambient PM2.5 exposure.METHODS:Forty mice were randomly divided into five groups:control group(intranasal saline),lipopolysaccharide(LPS)group(100 mg/L),PM2.5 low-dose group(0.003 5 mg/d),PM2.5 medium-dose group(0.007 mg/d),and PM2.5 high-dose group(0.014 mg/d).They were treated with intranasal in-stillation for 30 d.Lung function and tracheal contractile responses were evaluated using whole-body plethysmography and sensitive wire myograph.Inflammatory mediators in serum and oxidative stress parameters were detected using enzyme-linked immunosorbent assay(ELISA).Lung tissues were subjected to HE and Masson staining.RT-qPCR and Western blot were used to determine the expression of contractile receptors and the phosphorylation of the mitogen-activated protein kinase(MAPK)signal pathway.RESULTS:Intranasal instillation of PM2.5 significantly increased airway resistance in mice and enhanced tracheal contractility in response to carbachol.PM2.5 elevated levels of tumor necrosis factor-α(TNF-α),interleukin(IL)-1β,and IL-6 in serum.PM2.5 instillation also led to a decrease in glutathione peroxidase(GSH-Px)levels and an increase in malondialdehyde(MDA)levels.Lung tissue exhibited notable pathological changes,including inflammatory cell infiltration,hyperplasia of alveolar epithelial cells,and collagen deposition.Mechanistically,exposure to PM2.5 increased the expression of muscarinic M3 receptor mRNA and protein,as well as the phosphorylation of p-ERK1/2 and p-p38 proteins following PM2.5 instillation.CONCLUSION:Intranasal instillation of PM2.5 induced inflammation and oxidative stress,along with the activation of the extracellular signal-regulated kinase 1/2(ERK1/2)and p38 MAPK pathways,resulting in the upregulation of M3 receptor-induced AHR.

Circular RNAs (circRNAs) are a type of endogenous noncoding RNAs with covalently looped structures. Compared with other noncoding RNAs, circRNAs have the characteristics of stable structures, high abundance and tissue-specific expression. Recent studies have demonstrated that circRNAs can act as sponges, decoys and scaffolds for microRNAs and proteins, and play an important role in skin tumors. This review summarizes recent advances in the functions and mechanisms of action of circRNAs in common skin tumors, in order to understand the way in which they affect skin tumors, and to assess the value of further research on them.