Lung cancer remains the leading cause of cancer-related incidence and mortality worldwide. Among its histological subtypes, non-small cell lung cancer (NSCLC) accounts for the majority of cases, representing the predominant pathological type. Notably, in the elderly population, NSCLC continues to be a major contributor to cancer-related deaths. With the global ageing population, immunosenescence has emerged as a key factor influencing the occurrence, progression, and the efficacy of immunotherapy of NSCLC. Immunosenescence refers to the age-related decline in immune system function, which manifests as alterations in both the quantity and functionality of immune cells. These include thymic involution, T cell exhaustion, epigenetic modifications, weakened immune responses, and a chronic low-grade inflammatory state. This review comprehensively analyzes the role of immunosenescence in elderly patients with advanced NSCLC and proposes potential therapeutic strategies to intervene in the immunosenescence process. By targeting immunosenescence, these strategies aim to inhibit the progression of NSCLC and improve the effectiveness of immunotherapy.
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Humans ; Carcinoma, Non-Small-Cell Lung/genetics* ; Immunotherapy ; Lung Neoplasms/genetics* ; Immunosenescence ; Aged

ObjectiveTo investigate the association of SH2B1 rs7359397 （C>T） polymorphism with the progression to hepatic fibrosis in the elderly patients with metabolic dysfunction-associated steatotic liver disease （MASLD） in Beijing， China， and to provide an important genetic basis for the precise subtyping， prognostic evaluation， and individualized treatment of elderly MASLD patients in China. MethodsA total of 505 elderly patients （aged ≥65 years） who participated in regular physical examination in Mentougou Kuangshan Hospital of Beijing Jingmei Group General Hospital from November 2020 to September 2021 and were diagnosed with MASLD by abdominal ultrasound were enrolled as MASLD group， and 381 elderly population who underwent physical examination in the same community hospital during the same period of time and were not found to have MASLD by abdominal ultrasound were enrolled as control group. FibroScan was used to measure liver fat content and determine fibrosis stage. The 96-well microfluidic chip technique was used to identify SH2B1 rs7359397 polymorphism. The independent-samples t test was used for comparison of normally distributed continuous data between the two groups， and the chi-square test or the adjusted chi-square test was used for comparison of categorical data between the two groups. Univariate and multivariate Logistic regression analyses were used to identify the independent predictive factors for MASLD and its comorbidities. ResultsCompared with the control group， the MASLD group had a significantly younger age and significantly higher levels of waist circumference， hip circumference， waist-hip ratio， body mass index （BMI）， alanine aminotransferase， aspartate aminotransferase， triglyceride， platelet count， and fibrosis-4 （FIB-4） index， as well as a significantly lower level of high-density lipoprotein cholesterol （all P<0.05）. Among the 381 patients in the control group， 264 （69.29%） had genotype CC and 117 （30.71%） had genotype CT+TT， while among the 505 patients in the MASLD group， 317 （62.77%） had genotype CC and 188 （37.23%） had genotype CT+TT， suggesting that the MASLD group had a significantly higher proportion of patients with genotype CT+TT compared with the control group （χ²=4.09， P=0.043）. In the MASLD group， compared with the genotype CC group， the genotype CT+TT group had a significantly lower proportion of patients with FIB-4 ≥2 or atherosclerotic cardiovascular diseases （P<0.05）. The multivariate Logistic regression analysis showed that after adjustment for age， sex， and BMI， carrying T allele was a protective factor against progressive hepatic fibrosis （odds ratio ［OR］=0.481， 95% confidence interval ［CI］： 0.249 — 0.929， P=0.029）. In the subgroups of comorbidities with hypertension， metabolic syndrome， and obesity， genotype CT+TT was associated with a significant reduction in the risk of progressive hepatic fibrosis （hypertension： OR=0.27， 95%CI：0.09 — 0.77， P=0.014； metabolic syndrome： OR=0.30， 95%CI： 0.11 — 0.79， P=0.015； obesity： OR=0.11， 95%CI： 0.03 — 0.48， P=0.003）. After adjustment for age， sex， and BMI， in the patients with MASLD， the patients with genotype CT+TT had a significant reduction in the prevalence rate of atherosclerotic cardiovascular diseases compared with those with genotype CC （OR=0.506， 95%CI：0.336 — 0.761， P=0.001）. ConclusionSH2B1 rs7359397 （C>T） polymorphism is associated with the reduction in the risk of hepatic fibrosis and atherosclerotic cardiovascular diseases in MASLD patients.

The medical-industrial fusion training model combines the knowledge and technology of medical and engineering disciplines in the training of oncology graduate students, which can help accurate diagnosis and treatment of tumors, promote cooperation and innovation in oncology research, as well as promote the cultivation and exchanges of composite and innovative medical talents in oncology, promote the innovation and development of oncology diagnostic and treatment technology, and improve the survival rate and quality of life of oncology patients. This paper discusses the application of medical-industrial fusion training model in the training of o ncology professionals, and explores the new teaching mode of medical-industrial fusion thinking in the cultivation of complex and innovative medical talents in oncology under the background of "new medical science".

With the deepening of China's medical reform, people's demand for health is growing, which promotes the construction of "new medicine" and puts forward higher requirements for the cultivation and education of medical students. Undergraduate medical education is a crucial period for the growth of medical students, and how to do a good job in undergraduate teaching under the background of "new medicine" is currently a research hotspot. The clinical teaching stage is an important period for medical students to fully understand clinical disciplines and cultivate their understanding of specialties. Therefore, we should explore new teaching methods and means to adapt to the needs of the new era. In the context of "new medicine", the medical-engineering fusion diagnosis and treatment technology has become an important trend in the clinical diagnosis and treatment of oncology. In order to adapt to this change, clinical teaching and teaching management in oncology also need new exploration and research. Taking the clinical teaching of oncology as an example, this article discusses how to cultivate medical students' thinking of medical-engineering fusion.

Purpose To identify hemangioma(HE)and Kaposiform hemangioendothelioma(KHE)by constructing two ultrasonography-based radiomics models to evaluate the application value of two models in distinguishing HE from KHE,and to compare the diagnostic efficiency of two models.Materials and Methods A total of 90 lesions of subcutaneous HE or KHE confirmed clinically or pathologically from Henan Provincial People's Hospital from August 2020 to May 2022,were retrospectively analyzed.Imaging features were extracted by using Pyradiomics and screened out by the least absolute shrinkage and selection operator algorithm.Support vector machine and random forest were used to construct the radiomics models.Then the diagnostic efficacy of different models was compared.Results Based on the selected 10 radiomics features,the area under the curve,accuracy,sensitivity,specificity,positive and negative prediction the training group and validation group of the support vector machine model were 0.902(95%CI 0.887-0.917),92.1%,85.0%,92.3%,90.9%,93.5%and 0.827(95%CI 0.787-0.856),85.2%,70.0%,94.1%,90.9%,85.0%,respectively;and those in the training group and validation group of the random forest model were 0.960(95%CI 0.938-0.983),98.4%,96.4%,97.8%,98.1%,97.2%and 0.742(95%CI 0.699-0.785),77.8%,57.1%,82.3%,79.6%,62.5%,respectively.The area under the curve between two models in the training group and validation group was statistically significant(Z=-3.306,-2.009;P<0.05).Conclusion Ultrasonography-based radiomics can distinguish HE from KHE,support vector machine model shows more stable diagnostic performance in small sample data.

Objective:To investigate the pathway of self-disclosure to posttraumatic growth in patients after cervical cancer surgery, and to provide reference for improving the level of posttraumatic growth in patients.Methods:A convenient sampling method was used to investigate 300 patients with cervical cancer after surgery in Shandong Provincial Hospital Affiliated to Shandong First Medical University from June to November 2022 by using general data questionnaire, Distress Disclosure Index (DDI), Connor-Davidson Resilience Scale (CD-RISC), the Shortened Chinese Version of the Family Resilience Assessment Scale (FRAS-C) and the Posttraumatic Growth Inventory (PTGI) in a cross-section study.Results:A total of 290 valid questionnaires were collected, with an effective recovery rate of 96.7%. The patients were aged 23-70(48.13 ± 10.39) years. The scores of self-disclosure, resilience, family resilience and posttraumatic growth were (46.41 ± 9.82), (67.06 ± 14.63), (108.18 ± 11.06) and (58.24 ± 17.86) respectively. The results of pathway analysis showed that self-disclosure could not only directly predict posttraumatic growth, but also indirectly predict posttraumatic growth through the mediating role of resilience and family resilience, and the chain mediating role of resilience and family resilience, respectively. The direct effect of self-disclosure on posttraumatic growth was 0.236(95% CI 0.138-0.335), and the chain mediating effect of family resilience and resilience between self-disclosure and posttraumatic growth was 0.036(95% CI 0.018-0.060). Conclusions:Medical staff should not only consider the direct influence of self-disclosure on posttraumatic growth, but also pay attention to improve the resilience and family flexibility of patients after cervical cancer surgery, so as to promote their posttraumatic growth.

Objective:This study aimed to explore the performance of renal resistive index (RRI), semiquantitative power Doppler ultrasound (PDU) score, and renal venous Doppler waveform (RVDW) pattern in predicting 28-day renal dysfunction in critically ill patients and establish nomogram model.Methods:This was a prospective, observational study. Critically ill patients admitted to the emergency intensive care unit (ICU) of Cangzhou Central Hospital from January 2018 to October 2022 were included. Patients underwent renal ultrasound examination to obtain RRI, PDU score and RVDW pattern within 24 h after ICU admission. The following clinical variables were collected during the renal ultrasound examination session, including heart rate, mean arterial pressure, type and dose of vasoactive drugs, oxygen therapy parameters, and average urine volume per hour derived from a period of 6 h prior to the ultrasound examination. The data on duration of AKI and mortality were recorded on the 28th day of follow-up. Patients were divided into 28-day normal renal function group and 28-day renal dysfunction group according to 28-day renal dysfunction. 28-days of renal dysfunction was defined as failure to achieve renal function recovery within 28 days of ICU admission. The difference of each index between the two groups was compared. Associated factors for 28-day renal dysfunction were determined by univariate and multivariate COX regression analyses. A nomogram was developed based on the independently factors associated with 28-day renal dysfunction. Survival receiver operator characteristic (ROC) curves were plotted to assess diagnostic performance in predicting 28-day renal dysfunction. Delong’s test was used to compare area under the curves (AUC) between each predictor.Results:187 patients were enrolled for the final analysis: 97 with no AKI, 48 with AKI stage 1, 24 with AKI stage 2, and 18 with AKI stage 3 upon enrollment. At 28-day follow up, 16 patients had renal dysfunction and 2 required continuous renal replacement therapy (CRRT). The multivariate COX regression showed that RVDW and SCr upon enrollment were the independent risk predictors. Nomogram based on RVDW and SCr upon enrollment showed the best performance in predicting 14-day renal dysfunction (AUC = 0.918, 95% CI:0.871-0.964, P<0.05), and the AUC was statistically significantly higher than single index (all P<0.05). Nomogram also showed the best performance in predicting 28-day renal dysfunction (AUC = 0.924, 95% CI:0.865-0.983, P<0.05), and the AUC was statistically significantly higher than single index (all P<0.05) except for SCr upon enrollment. The optimal cutoff for nomogram in predicting 28-day renal dysfunction was ≤89.5 (sensitivity, 81.2%; specificity, 90.6%; Youden index, 0.719). Kaplan-Meier analysis showed that the median duration of renal dysfunction in the groups with total nomogram score >85.9 and ≤85.9 was 0 and 22 days (HR=0.220, 95% CI:0.129-0.376, P<0.001). Conclusions:SCr and RVDW pattern within 24 h from ICU admission were independent factors associated with 28-day renal dysfunction in critically ill patients. The value of the nomogram model based on these two factors in predicting 28-day renal dysfunction is superior to each single intrarenal Doppler spectrum indicator and clinical indicator.

Objective To investigate the related factors of early neurological deterioration in elderly patients with thrombolysis for acute occlusive stroke of large intracranial vessels. Methods Clinical materials of 480 elderly patients with thrombolysis for acute occlusive stroke of large intracranial vessels were retrospectively analyzed. The National Institutes of Health Stroke Scale (NIHSS) was used to evaluate the neurological function of patients within 72 hours after thrombectomy, and the patients were divided into deterioration group and non-deterioration group. The baseline materials were compared between the two groups, the factors of early neurological deterioration were analyzed, and the receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of risk. Results Among 480 elderly patients with thrombolysis for acute occlusive stroke of large intracranial vessels, 92 cases (19.17%) had early neurological deterioration; the blood glucose level, white blood cell count, incidence of dysphagia, and incidence of coma in the deterioration group were significantly higher than those in the non-deterioration group (P < 0.05); the Logistic regression analysis showed that high level of blood glucose (95%CI, 1.203 to 1.478), high level of white blood cell count (95%CI, 1.159 to 1.408), dysphagia (95%CI, 7.049 to 31.475), and coma (95%CI, 8.375 to 43.195) were risk factors for early neurological deterioration in elderly patients with thrombolysis for acute occlusive stroke of large intracranial vessels (OR>1, P < 0.05). ROC curve results showed that blood glucose, white blood cell count, dysphagia, and coma had certain predictive value for early neurological deterioration in elderly patients with thrombolysis for acute occlusive stroke of large intracranial vessels[the area under the curve (AUC) was 0.733, 0.708, 0.707 and 0.701]; the ROC curve showed AUC was 0.934, indicating that the model was reliable and stable. Conclusion Early neurological deterioration in elderly patients with thrombolysis for acute occlusive stroke of large intracranial vessels may be related to factors such as blood glucose, white blood cell count, dysphagia, and coma. Early risk assessment and relevant intervention measures can be taken clinically to improve prognosis.

Ommaya reservoir implantation is generally used in the treatment of hydrocephalus and intraventricular drug administration. Ommaya reservoir implantation in the subarachnoid space of the spinal cord for the intrathecal drug administration has not been carried out in China, and only several reports can be retrieved from PubMed. About 60%-90% of untreated patients with spinal muscular atrophy type 2 (SMA2) who survive to adulthood often have complex scoliosis and joint deformities. Nusinersen is an effective drug for the treatment of SMA2. And the route of administration is intrathecal injection, which is difficult for patients with severe scoliosis. This article summarizes the process of Ommaya reservoir implantation and postoperative drug administration in a patient with complex scoliosis type SMA2, which provides a new method for clinical treatment of this disease.

Objective:To improve the longevity genetic research study design by applying self-organizing maps to select a control group for longevity study.Methods:This study included the Han population aged 90 years and above or less than 80 years who have died (control group) from the natural population-based cohort formed by the fusion of the Chinese Chronic Diseases and Risk Factors Surveillance in 2013 and the China Death Surveillance System. The subjects who died of injury, infectious diseases, parasitic diseases, and malignant tumors were excluded. The self-organizing maps method, with multiple iterations and self-organizing clustering, was used to select similar factors among the population aged 90 years and above and the control group, including demographic characteristics, diseases, living habits, social behaviors, and mental and psychological factors. The study used PLINK 1.9 software to evaluate the quality of whole genome sequencing and to conduct logistic regression of single nucleotide polymorphisms (SNPs) and longevity on autosomes. Q-Q plots were used to visualize the P value associated with SNPs and longevity. Results:There were 1 019 samples selected from the baseline of 177 099 survey participants for genome sequencing, including 517 in the longevity group and 502 in the control group. The longevity and the control groups are generally similar in smoking, drinking, diet, sleep duration, blood lipid level, and self-assessment oral health status but differ significantly in socio-economic status, physical activity time, BMI, and self-assessment health status. The whole genome sequencing results were controlled, and 4 618 216 SNPs were involved in association analysis. The Q-Q plot of longevity-related SNPs analysis results showed that the enrichment of P value 1e-4 was significantly lower than the expected P value, and significant signals were also detected among P<1e-7 regions. Conclusions:The self-organizing maps can comprehensively consider the influence of socioeconomic and behavioral risk factors and select longevity control samples among samples with actual age and cause of death in a large-scale natural population cohort to improve the efficiency of longevity genome association analysis. This study provides a methodological reference for nested case-control study sample selection from the large-scale natural population cohort.