In the ever-evolving landscape of cancer therapy, while cancer treatments such as chemotherapy, radiotherapy, and targeted therapy aim to eradicate malignant cells, they also inadvertently trigger cellular senescence in both cancerous and microenvironmental tissues. Therapy-induced senescence (TIS) can act as a barrier against tumor growth by halting cell proliferation in the short term, but the long-term persistence of therapy-induced senescent (TISnt) cells may pose a significant challenge in cancer management. Their distinct characteristics, like senescence-associated secretory phenotype (SASP), metabolic dysregulation, and immune evasion, make them exhibit remarkable heterogeneity to orchestrate the tumor microenvironment (TME), resulting in therapy resistance. However, how these TISnt cells functioning differently in cancer progression, and the intricate mechanisms by which they remodel the senescence-associated immunosuppressive microenvironment present challenges for improving anticancer therapy. Therefore, this review summarizes the heterogeneous TISnt cell phenotypes contributing to an accumulated senescent state, outlines their multidimensional interactions in the senescent microenvironment, and discusses current senescence-targeting strategies. Building on the current understanding of TIS, we propose potential avenues for improving TIS-targeting methodologies in the context of head and neck cancer, a representative heterogeneous malignancy, which can substantially enhance the efficacy of the "one-two punch" sequential treatment approach for head and neck cancer.
Humans ; Cellular Senescence/drug effects* ; Tumor Microenvironment ; Neoplasms/pathology* ; Senescence-Associated Secretory Phenotype

Objective To investigate the temporal and spatial relationship between autophagosome formation during spermatid deformation and lipid droplet distribution in seminiferous tubules,thereby providing insights into the en-ergy sources underlying spermiogenesis.Methods Healthy adult wild-type male mice were used in this study.The expression profile of the autophagy marker microtubule-associated protein light chain 3(LC3)in the testis was ex-amined using immunohistochemical staining and Western blot.The ultrastructural features of autophagosomes were observed via transmission electron microscopy.Lipid droplets in the seminiferous tubules were visualized by Oil Red O staining,and the relationship between lipid metabolism and energy dynamics was assessed by measuring ATP content and ATPase activity.Results Autophagosomes were detected in deforming spermatids and Sertoli cells.LC3 was predominantly expressed in the cytoplasm of elongating spermatids,with increasing levels found from stages Ⅱ to Ⅳ.Concurrently,lipid droplets within these cells also increased,peaking in spermatids and residual bodies during stagesⅦ-Ⅷ,followed by a decline.In contrast,lipid droplets in Sertoli cells remained markedly in-creased during stages Ⅸ-Ⅰ and low during stages Ⅱ-Ⅷ.The change of ATP levels in the seminiferous tubules showed a similar pattern as Sertoli cell lipid content,whereas ATPase activity showed an inverse trend.All these changes displayed a clear stage-dependent manner.Conclusions During spermatid elongation in mice LC3 expres-sion,autophagosome formation,lipid droplet accumulation in both spermatozoa and Sertoli cells,as well as ATP and ATPase levels in seminiferous tubules exhibit a tightly coordinated spatiotemporal relationship.These findings suggest that autophagy and lipid metabolism synergistically contribute to the energy supply required for the extensive cellular remodeling that occurs during spermiogenesis.

Objective:To evaluate the role of a single PET-CT scan in predicting survival and prognosis in patients with non-small cell lung cancer (NSCLC) who did not undergo surgery but received radiotherapy after neoadjuvant chemotherapy combined with immunotherapy.Methods:A retrospective analysis was conducted on the data of 23 NSCLC patients treated at the Cancer Hospital of the Chinese Academy of Medical Sciences from May 2022 to June 2024. All patients were pathologically confirmed, received neoadjuvant chemotherapy combined with immunotherapy, did not undergo surgery for various reasons, and instead received radiotherapy. Each patient underwent only one PET-CT scan after neoadjuvant chemotherapy combined with immunotherapy and before radiotherapy. According to the maximum standardized uptake value (SUV max) on PET-CT, patients were divided into the low-uptake group (SUV max < 8, n=12) and high-uptake group (SUV max ≥ 8, n=11). Survival analysis was performed using the Kaplan-Meier method with survival curves plotted. Univariate analysis of influencing factors of survival was conducted using the Cox proportional hazards regression model. Clinical characteristics and survival outcomes of the two groups were compared, including progression-free survival (PFS) and overall survival (OS). Results:The 1-year PFS rates were 100% in the low-uptake group, 54.5% in the high-uptake group. This difference was statistically significant ( P=0.007). The 1-year and 2-year OS rates were both 100% in the low-uptake group, the 1-year and 2-year OS rates were both 90.9% in the high-uptake group, with no statistically significant difference ( P=0.394). Univariate Cox analysis identified age as an independent factor affecting PFS. Conclusions:For NSCLC patients who did not undergo surgical resection but received radiotherapy after neoadjuvant chemotherapy combined with immunotherapy, a single PET-CT scan before radiotherapy has potential value in predicting PFS. However, clinical studies with larger sample size and longer follow-up are required to evaluate its predictive value for OS.

Objective:To evaluate the efficacy of early bronchoalveolar lavage using electronic bronchoscopy in pediatric drowning cases.Methods:A retrospective analysis of clinical data from 81 pediatric drowning cases treated in the intensive care unit of Hunan Children's Hospital from January 2017 to September 2023 was conducted.Among these,43 cases underwent bronchoalveolar lavage with electronic bronchoscopy within 24 hours of drowning,constituting the treatment group,while 38 cases either did not receive treatment within 24 hours or underwent the procedure after 24 hours,forming the control group.We compared the two groups regarding pre-admission observations,admission observations,and disease progression or prognosis indicators to assess the clinical efficacy of early bronchoalveolar lavage with electronic bronchoscopy in pediatric drowning cases.Results:Compared to the control group,children in the treatment group exhibited a significant reduction in invasive ventilation time [(73.33±13.33) h vs.(94.82±15.77) h] and a significant decrease in pediatric intensive care unit stay [105.00 (94.00,121.00) h vs.123.5 (109.75,149.00) h],with both differences being statistically significant( P<0.05).No significant differences in white blood cell count and neutrophil percentage were observed between the treatment group and control group at admission and on the first day( P>0.05).However,by the third day,there was a significant improvement in white blood cell count in both groups,with statistical significance( P<0.05).There was a significant decrease in C-reactive protein and procalcitonin levels between the treatment group and control group on the 1st and 3rd days,with the differences being significant( P<0.05).Six hours after electronic bronchoalveolar lavage,the P/F ratio in the treatment group was lower than that in the control group (177.09±41.27 vs. 233.50±48.23),but it increased more significantly at 24 hours (286.00±34.32 vs.256.34±44.22),with a significant difference between two groups.The positive rate of lavage fluid culture in the treatment group was significantly higher than that in the control group,and the difference was statistically significant( P<0.05).There was no significant difference in the number of organ function damage between two groups( P>0.05).However,regarding prognosis,the treatment group showed significantly better outcomes than the control group( P<0.05). Conclusion:For pediatric patients with wilderness drowning,early electronic bronchoscopy with alveolar lavage may shorten the duration of invasive mechanical ventilation and pediatric intensive care unit stay,improving prognosis,and is worth promoting.

Objective:To evaluate the efficacy of early bronchoalveolar lavage using electronic bronchoscopy in pediatric drowning cases.Methods:A retrospective analysis of clinical data from 81 pediatric drowning cases treated in the intensive care unit of Hunan Children's Hospital from January 2017 to September 2023 was conducted.Among these,43 cases underwent bronchoalveolar lavage with electronic bronchoscopy within 24 hours of drowning,constituting the treatment group,while 38 cases either did not receive treatment within 24 hours or underwent the procedure after 24 hours,forming the control group.We compared the two groups regarding pre-admission observations,admission observations,and disease progression or prognosis indicators to assess the clinical efficacy of early bronchoalveolar lavage with electronic bronchoscopy in pediatric drowning cases.Results:Compared to the control group,children in the treatment group exhibited a significant reduction in invasive ventilation time [(73.33±13.33) h vs.(94.82±15.77) h] and a significant decrease in pediatric intensive care unit stay [105.00 (94.00,121.00) h vs.123.5 (109.75,149.00) h],with both differences being statistically significant( P<0.05).No significant differences in white blood cell count and neutrophil percentage were observed between the treatment group and control group at admission and on the first day( P>0.05).However,by the third day,there was a significant improvement in white blood cell count in both groups,with statistical significance( P<0.05).There was a significant decrease in C-reactive protein and procalcitonin levels between the treatment group and control group on the 1st and 3rd days,with the differences being significant( P<0.05).Six hours after electronic bronchoalveolar lavage,the P/F ratio in the treatment group was lower than that in the control group (177.09±41.27 vs. 233.50±48.23),but it increased more significantly at 24 hours (286.00±34.32 vs.256.34±44.22),with a significant difference between two groups.The positive rate of lavage fluid culture in the treatment group was significantly higher than that in the control group,and the difference was statistically significant( P<0.05).There was no significant difference in the number of organ function damage between two groups( P>0.05).However,regarding prognosis,the treatment group showed significantly better outcomes than the control group( P<0.05). Conclusion:For pediatric patients with wilderness drowning,early electronic bronchoscopy with alveolar lavage may shorten the duration of invasive mechanical ventilation and pediatric intensive care unit stay,improving prognosis,and is worth promoting.

Objective:To evaluate the role of a single PET-CT scan in predicting survival and prognosis in patients with non-small cell lung cancer (NSCLC) who did not undergo surgery but received radiotherapy after neoadjuvant chemotherapy combined with immunotherapy.Methods:A retrospective analysis was conducted on the data of 23 NSCLC patients treated at the Cancer Hospital of the Chinese Academy of Medical Sciences from May 2022 to June 2024. All patients were pathologically confirmed, received neoadjuvant chemotherapy combined with immunotherapy, did not undergo surgery for various reasons, and instead received radiotherapy. Each patient underwent only one PET-CT scan after neoadjuvant chemotherapy combined with immunotherapy and before radiotherapy. According to the maximum standardized uptake value (SUV max) on PET-CT, patients were divided into the low-uptake group (SUV max < 8, n=12) and high-uptake group (SUV max ≥ 8, n=11). Survival analysis was performed using the Kaplan-Meier method with survival curves plotted. Univariate analysis of influencing factors of survival was conducted using the Cox proportional hazards regression model. Clinical characteristics and survival outcomes of the two groups were compared, including progression-free survival (PFS) and overall survival (OS). Results:The 1-year PFS rates were 100% in the low-uptake group, 54.5% in the high-uptake group. This difference was statistically significant ( P=0.007). The 1-year and 2-year OS rates were both 100% in the low-uptake group, the 1-year and 2-year OS rates were both 90.9% in the high-uptake group, with no statistically significant difference ( P=0.394). Univariate Cox analysis identified age as an independent factor affecting PFS. Conclusions:For NSCLC patients who did not undergo surgical resection but received radiotherapy after neoadjuvant chemotherapy combined with immunotherapy, a single PET-CT scan before radiotherapy has potential value in predicting PFS. However, clinical studies with larger sample size and longer follow-up are required to evaluate its predictive value for OS.

Sepsis is a common critical illness in pediatric intensive care unit,and its prognosis assessment has always been a challenge in pediatric critical care researches.In 2016,Sepsis 3.0 defined as life-threatening organ dysfunction caused by a dysregulated host response to infection.The diagnostic criteria were revised to include a sequential organ failure assessment (SOFA) score increase ≥2 points from baseline in infected/suspected infected patients.However,aforementioned guidelines primarily focus on adults.Considering the unique physiological characteristics of children,the pediatric sequential organ failure assessment (pSOFA) was developed.Currently,the definition of pediatric sepsis has not been updated to include organ dysfunction,and the use of the pSOFA score is not widespread.This review introduced the background,content,and application of the pSOFA score,and compared it with other scoring systems to determine its advantages and application range in prognosis assessment.Finally,it summarized the value of pSOFA score in the prognosis assessment of pediatric sepsis,aiming to provide references for clinical applications.

Taking Kunming Medical University as an example, we explore the mechanism for the separation and coordination of supervision, management, and evaluation, establish and implement a course quality rating system, and strengthen the course quality evaluation. The course quality rating system mainly consists of merit evaluation for courses of grades A and B and admittance evaluation for courses of grades C and D. Through the course quality rating, courses are diagnosed and compared, with the aim to improve course connotation construction (labeling, setting an example, promoting excellent courses, and removing inferior courses), achieve "good pay for good courses", encourage the faculty to strengthen curriculum quality, and measure ourselves with our own ruler. We discussed the problems about the difference in evaluation indicators, the professionality of evaluators, and the incentive effect of evaluation results, and also proposed strategies for improving course quality rating in medical colleges from the perspectives of deepening the content of evaluation indices, ensuring the effectiveness after evaluation, and ascertaining the main body of course construction in daily work.

Objective:To construct a risk prediction model for the inter-hospital transfer of critically ill children using machine learning methods, identify key medical features affecting transfer outcomes, and improve the success rate of transfers.Methods:A prospective study was conducted on critically ill children admitted to the pediatric transfer center of Hunan Children's Hospital from January 2020 to January 2021. Medical data on critical care features and relevant data from the Pediatric Risk of Mortality (PRISMⅢ) scoring system were collected and processed. Three machine learning models, including logistic regression, decision tree, and Relief algorithm, were used to construct the risk prediction model. A back propagation neural network was employed to build a referral outcome prediction model to verify and analyze the selected medical features from the risk prediction model, exploring the key medical features influencing inter-hospital transfer risk.Results:Among the 549 transferred children included in the study, 222 were neonates (40.44%) and 327 were non-neonates (59.56%). There were 50 children in-hospital deaths, resulting in a mortality rate of 9.11%. After processing 151 critical care medical feature data points, each model selected the top 15 important features influencing transfer outcomes, with a total of 34 selected features. The decision tree model had an overlap of 72.7% with PRISMⅢ indicators, higher than logistic regression (36.4%) and Relief algorithm (27.3%). The training prediction accuracy of the decision tree model was 0.94, higher than the accuracy of 0.90 when including all features, indicating its clinical utility. Among the top 15 important features selected by the decision tree model, the impact on transfer outcomes was ranked as follows based on quantitative feature violin plots: base excess, total bilirubin, ionized calcium, total time, arterial oxygen pressure, blood parameters (including white blood cells, platelets, prothrombin time/activated partial thromboplastin time), carbon dioxide pressure, blood glucose, systolic blood pressure, heart rate, organ failure, lactate, capillary refill time, temperature, and cyanosis. Eight of these important features overlapped with PRISMⅢ indicators, including systolic blood pressure, heart rate, temperature, pupillary reflex, consciousness, acidosis, arterial oxygen pressure, carbon dioxide pressure, blood parameters, and blood glucose. The decision tree was used to select the top 15 medical features with high impact on the neonatal and non-neonatal datasets, respectively. A total of 19 features were selected, among which there were 8 differences and 11 overlap terms between the important features of the neonatal and non-neonatal.Conclusions:Machine learning models could serve as reliable tools for predicting the risk of inter-hospital transfer of critically ill children. The decision tree model exhibits superior performance and helps identify key medical features affecting inter-hospital transfer risk, thereby improving the success rate of inter-hospital transfers for critically ill children.

Objective·To explore the association between gene-gene interaction of glutamate pathway and anhedonia.Methods·A total of 279 patients with schizophrenia(SZ)and 236 patients with major depression disorder(MDD)recruited in the outpatient department and ward of Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine,and 236 healthy controls(HC)recruited in the community from January 2017 to August 2020 were included in the study.General demographic data and clinical characteristics of the three groups were collected and compared.The Chinese version of Temporal Experience of Pleasure Scale(TEPS)was used to evaluate the pleasure experience ability of the three groups.Generalized multifactor dimensionality reduction(GMDR)method was used to establish the interaction model of the single nucleotide polymorphism(SNP)in glutamate pathway genes(NOS1AP,GSK3β,DAOA,DISC1 and GRIN2A).According to the interaction model,SZ and MDD patients were divided into high-risk group and low-risk group,and the differences in pleasure experience ability were compared between the two groups,so as to analyze the effect of gene-gene interaction on anhedonia.Results·There were significant differences in age and years of education among the three groups,and in age of onset and duration of illness between SZ and MDD groups(all P=0.000).There were significant differences among the three groups of participants in terms of overall pleasure experience,anticipatory pleasure experience and consummatory pleasure experience(all P=0.000);the overall pleasure experience,anticipatory pleasure experience and consummatory pleasure experience in the SZ and MDD group were lower than those in the HC group(all Pcorr=0.000),and there was marginal statistical difference in anticipatory pleasure experience between the SZ and MDD groups(Pcorr=0.051).Through GMDR modeling,it was found that the 2-loci interaction model composed of DAOA-rs3916965 and DISC1-rs821577 had a predictive effect on the overall pleasure experience ability of SZ patients(P=0.003),and the 2-loci interaction model composed of NOS1AP-rs1858232 and GRIN2A-rs1014531 had a predictive effect on the anticipatory pleasure experience ability of MDD patients(P=0.037);moreover,the overall pleasure experience ability of patients in the SZ high-risk group and anticipatory pleasure experience ability of patients in MDD high-risk groups were lower than those in their low-risk groups(t=3.443,P=0.000;t=3.471,P=0.001).Conclusion·The interaction of glutamate pathway gene polymorphisms may be involved in the occurrence of anhedonia.