Objective To systematically review the sex differences in efficacy of immune checkpoint inhibitors (ICIs) for non-small cell lung cancer (NSCLC) patients. Methods We conducted a computer search of Medline, The Cochrane Library, and EMbase from inception to November 2022 to identify randomized controlled trials (RCTs) assessing the efficacy of ICIs in patients with NSCLC. A meta-analysis was performed using RevMan 5.4 software. Results Finally 16 RCTs with a total of 9 653 patients were included, and the modified Jadad scale score was≥4 points. Meta-analysis results showed that in female NSCLC patients receiving immune therapy, the median overall survival (OS) [HR=0.72, 95%CI (0.61, 0.85), P<0.001] was longer than that in males [HR=0.73, 95%CI (0.69, 0.78), P<0.001]. Males [HR=0.64, 95%CI (0.58, 0.71), P<0.001] had an advantage over females [HR=0.76, 95%CI (0.57, 1.03), P=0.760] in median progression-free survival (PFS). Conclusion Females receiving ICIs have an advantage over males in terms of median OS. However, males tend to derive greater benefit from ICIs in terms of median PFS.

Purpose To construct a nomogram model based on conventional ultrasound(US)and contrast-enhanced ultrasound(CEUS)features for predicting extrathyroidal extension(ETE)of papillary thyroid carcinoma,and to evaluate its diagnostic performance.Materials and Methods A retrospective analysis of clinical and ultrasound data from 715 papillary thyroid carcinoma patients in the First Medical Center of Chinese PLA General Hospital from January 2017 to December 2022 was conducted.The patients were divided into two groups based on the presence or absence of ETE.Univariate and Multivariate analyses was performed to identify independent risk factors associated with ETE.Three models were established:clinical,clinical+US and clinical+US+CEUS.The nomogram of the best model was constructed and validated.Results The model based on clinical+US+CEUS features performed the best,the area under the curve was 0.885.Multivariate analysis indicated that older age(OR=1.029,95%CI 1.011-1.047),higher body mass index(OR=1.108,95%CI 1.049-1.171),capsular contact<25%(OR=4.716,95%CI 2.079-10.701),capsular contact 25%-50%(OR=21.320,95%CI 8.240-55.160),capsular contact>50%(OR=24.045,95%CI 6.792-85.126),nodules adjacent to the lateral side(OR=4.265,95%CI 1.366-13.318),nodules adjacent to the medial side(OR=6.416,95%CI 2.067-19.920)and interrupted capsular enhancement(OR=6.044,95%CI 3.588-10.180)were independent risk factors for ETE(all P<0.05).Decision curve analysis and clinical impact curve indicated high net benefit and strong clinical utility of the model.Ten-fold cross-validation showed good model stability.Conclusion The nomogram model constructed based on US and CEUS features demonstrates good predictive performance and holds significant clinical utility.

Objective To systematically evaluate the short-term efficacy and safety of McKeown and Sweet methods in the treatment of esophageal cancer. Methods PubMed, EMbase, The Cochrane Library, Web of Science, Wanfang, VIP, CNKI and Chinese Biomedical Literature database were searched for literature on the short-term efficacy and safety of McKeown and Sweet methods in the treatment of esophageal cancer published from the establishment to May 2023. Newcastle-Ottawa Scale was used to evaluate the quality of researches, and meta-analysis was performed using RevMan5.4. Results A total of 9 articles were included, involving 3687 patients including 1019 in the McKeown group and 2668 in the Sweet group. NOS score was 8-9 points. There were no statistical differences in the age, sex or American Joint Committee on Cancer stage between the two groups (P>0.05). Patients in the McKeown group had longer operative time and hospital stay, more intraoperative blood loss, and higher Eastern Cooperative Oncology Group scores than those in the Sweet group (P<0.05). However, the McKeown operation could remove more lymph nodes (P=0.001). In terms of safety, the incidences of pulmonary complications [OR=2.20, 95%CI (1.40, 3.46), P=0.001] and postoperative anastomotic leakage [OR=2.06, 95%CI (1.45, 2.92), P=0.001] were higher in the McKeown group than those in the Sweet group. In addition, there were no statistical differences between the two groups in the Karnofsky score, cardiac complications, vocal cord injury or paralysis, chylous leakage, or gastric emptying (P>0.05). Conclusion Compared with McKeown, Sweet method has advantages in operation time, intraoperative blood loss and hospital stay, and has lower incidence of postoperative pulmonary complications and anastomotic leakage. However, McKeown has more lymph node dissection.

Meditation aims to guide individuals into a state of deep calm and focused attention, and in recent years, it has shown promising potential in the field of medical treatment. Numerous studies have demonstrated that electroencephalogram (EEG) patterns change during meditation, suggesting the feasibility of using deep learning techniques to monitor meditation states. However, significant inter-subject differences in EEG signals poses challenges to the performance of such monitoring systems. To address this issue, this study proposed a novel model-calibrated multi-source adversarial adaptation network (CMAAN). The model first trained multiple domain-adversarial neural networks in a pairwise manner between various source-domain individuals and the target-domain individual. These networks were then integrated through a calibration process using a small amount of labeled data from the target domain to enhance performance. We evaluated the proposed model on an EEG dataset collected from 18 subjects undergoing methamphetamine rehabilitation. The model achieved a classification accuracy of 73.09%. Additionally, based on the learned model, we analyzed the key EEG frequency bands and brain regions involved in the meditation process. The proposed multi-source domain adaptation framework improves both the performance and robustness of EEG-based meditation monitoring and holds great promise for applications in biomedical informatics and clinical practice.
Humans ; Electroencephalography/methods* ; Meditation ; Calibration ; Neural Networks, Computer ; Brain/physiology* ; Rest/physiology* ; Deep Learning ; Signal Processing, Computer-Assisted

Objective To explore the possibility and genetic identification method of constructing a hepatocyte-specific NLRP3 gene knockout mouse model by using Cre-LoxP system gene knockout technology.Methods Phase one:mice specifically expressing the albumin promoter-Cre(AlbCre)recombinase in hepatocytes were mated with NLRP3flox/flox mice,and the hepatocyte-specific NLRP3 gene knockout mice with the genotype of NLRP3flox/flox/AlbCre+/-(hepatocyte NLRP3 knockout group)and the control mice in the same litter with the genotype of NLRP3flox/flox/AlbCre-/-(control group in the same litter)were obtained after two generations of selection and mating.The second stage was the mass reproduction stage.Mating NLRP3flox/flox/AlbCre+/-target mice with NLRP3flox/flox mice could quickly obtain a large number of experimental target mice and control mice in the same litter.The DNA was extracted from the tails of mice after numbering,and the offspring genotype was identified by PCR.qPCR and Western blot were used to detect the mRNA and protein expression levels of NLRP3 gene in the liver tissue.HE staining was used to observe the morphological changes in liver tissues,and serum liver transaminases and inflammatory factors were detected.The changes in body weight,liver-to-body ratio and special circumstances during reproduction and development of mice in the two groups were observed.Results The offspring genotype of the target mice in the F2 generation was consistent with theoretical result of NLRP3flox/flox/AlbCre+/-.The mRNA and protein levels of NLRP3 in liver tissues of mice in the hepatocyte NLRP3 knockout group were significantly lower than those in the control group in the same litter(P<0.05).The mice in the hepatocyte NLRP3 knockout group was not affected in terms of growth,development and reproduction after the NLRP3 gene knockout.There were no statistically significant differences in the body weight,liver-to-body ratio,liver tissue morphology,serum liver transaminase or inflammatory factors between the hepatocyte NLRP3 knockout group and the control group in the same litter(P>0.05).Conclusion The Cre-LoxP gene knockout technology can be used to successfully construct a hepatocyte-specific NLRP3 gene knockout mouse model,providing an important technical support for the next step of studying the function of the NLRP3 gene in the liver at the animal level.

Objective To explore the possibility and genetic identification method of constructing a hepatocyte-specific NLRP3 gene knockout mouse model by using Cre-LoxP system gene knockout technology.Methods Phase one:mice specifically expressing the albumin promoter-Cre(AlbCre)recombinase in hepatocytes were mated with NLRP3flox/flox mice,and the hepatocyte-specific NLRP3 gene knockout mice with the genotype of NLRP3flox/flox/AlbCre+/-(hepatocyte NLRP3 knockout group)and the control mice in the same litter with the genotype of NLRP3flox/flox/AlbCre-/-(control group in the same litter)were obtained after two generations of selection and mating.The second stage was the mass reproduction stage.Mating NLRP3flox/flox/AlbCre+/-target mice with NLRP3flox/flox mice could quickly obtain a large number of experimental target mice and control mice in the same litter.The DNA was extracted from the tails of mice after numbering,and the offspring genotype was identified by PCR.qPCR and Western blot were used to detect the mRNA and protein expression levels of NLRP3 gene in the liver tissue.HE staining was used to observe the morphological changes in liver tissues,and serum liver transaminases and inflammatory factors were detected.The changes in body weight,liver-to-body ratio and special circumstances during reproduction and development of mice in the two groups were observed.Results The offspring genotype of the target mice in the F2 generation was consistent with theoretical result of NLRP3flox/flox/AlbCre+/-.The mRNA and protein levels of NLRP3 in liver tissues of mice in the hepatocyte NLRP3 knockout group were significantly lower than those in the control group in the same litter(P<0.05).The mice in the hepatocyte NLRP3 knockout group was not affected in terms of growth,development and reproduction after the NLRP3 gene knockout.There were no statistically significant differences in the body weight,liver-to-body ratio,liver tissue morphology,serum liver transaminase or inflammatory factors between the hepatocyte NLRP3 knockout group and the control group in the same litter(P>0.05).Conclusion The Cre-LoxP gene knockout technology can be used to successfully construct a hepatocyte-specific NLRP3 gene knockout mouse model,providing an important technical support for the next step of studying the function of the NLRP3 gene in the liver at the animal level.

Purpose To construct a nomogram model based on conventional ultrasound(US)and contrast-enhanced ultrasound(CEUS)features for predicting extrathyroidal extension(ETE)of papillary thyroid carcinoma,and to evaluate its diagnostic performance.Materials and Methods A retrospective analysis of clinical and ultrasound data from 715 papillary thyroid carcinoma patients in the First Medical Center of Chinese PLA General Hospital from January 2017 to December 2022 was conducted.The patients were divided into two groups based on the presence or absence of ETE.Univariate and Multivariate analyses was performed to identify independent risk factors associated with ETE.Three models were established:clinical,clinical+US and clinical+US+CEUS.The nomogram of the best model was constructed and validated.Results The model based on clinical+US+CEUS features performed the best,the area under the curve was 0.885.Multivariate analysis indicated that older age(OR=1.029,95%CI 1.011-1.047),higher body mass index(OR=1.108,95%CI 1.049-1.171),capsular contact<25%(OR=4.716,95%CI 2.079-10.701),capsular contact 25%-50%(OR=21.320,95%CI 8.240-55.160),capsular contact>50%(OR=24.045,95%CI 6.792-85.126),nodules adjacent to the lateral side(OR=4.265,95%CI 1.366-13.318),nodules adjacent to the medial side(OR=6.416,95%CI 2.067-19.920)and interrupted capsular enhancement(OR=6.044,95%CI 3.588-10.180)were independent risk factors for ETE(all P<0.05).Decision curve analysis and clinical impact curve indicated high net benefit and strong clinical utility of the model.Ten-fold cross-validation showed good model stability.Conclusion The nomogram model constructed based on US and CEUS features demonstrates good predictive performance and holds significant clinical utility.

The prevalence of short stature among prepubertal children in China is relatively high.Early identification of the cause and timely intervention can bring greater benefits to children with short stature.This paper provides an overview of early diagnosis,intervention measures,and personalized medication dosage for prepubertal short stature children,aiming to provide references for clinical doctors.

Objective:To investigate the clinicopathological and molecular genetic characteristics of well-differentiated/dedifferentiated liposarcoma (WDLPS/DDLPS) with myxoid-like morphology, and to distinguish them from myxofibrosarcoma (MFS) with similar morphology.Methods:Twenty-nine cases of myxoid-like liposarcoma and 5 cases of MFS were collected from Henan Provincial People′s Hospital, Zhengzhou, China and the First Medical Center of PLA General Hospital, Beijing, China from January 2015 to March 2023. Relevant markers were detected using immunohistochemistry and fluorescence in situ hybridization (FISH). The literature was also reviewed.Results:There were 24 males and 10 females, with ages ranging from 41 to 73 years. The tumor sites included retroperitoneum ( n=17), abdomen ( n=9), lower limbs ( n=5), scrotum ( n=1), upper limb ( n=1) and axilla ( n=1). WDLPS was commonly seen as lipomatoid type (12 cases), while the dedifferentiated components of DDLPS included low-grade (13 cases) and high-grade (2 cases) morphology, with low-high grade myxofibrosarcoma, dermatofibrosarcoma protuberans, and low-grade fibrosarcoma structures. Twenty-nine liposarcomas had various proportions of myxoid-like morphology, while 16 showed various degrees of tumor necrosis. The myxoid-like component showed myxoid pleomorphic liposarcoma (MLPS)-like morphology, lobulated growth, characteristic slender, ramified capillary network,"chicken claw-like"morphology, mucus-rich stroma and lung edema-like morphology. Tumor cells were spindle and oval, with many variable vacuolar lipoblasts. MDM2 gene amplification was detected using FISH and present in all tested cases (29/29). DDIT3 break-apart mutation was not detected, but its cluster amplification was present (24/29). Among the MFS cases, one showed cluster amplification (1/5), but no cases showed break-apart or amplification of MDM2 gene. Conclusions:WDLPS/DDLPS with myxoid-like morphology is most commonly seen in the retroperitoneum and abdominal cavity and mostly harbors DDIT3 break-apart probe amplification, while this amplification is not specific to liposarcoma. For core biopsy specimens or very rare tumors in the limbs, when histology has mucinous stroma and MLPS-like morphology, misdiagnosis of MLPS or other non-lipomatous neoplasms with myxoid morphology should be avoided.

Objective:To construct an ensemble machine learning model for predicting the occurrence of clinically relevant postoperative pancreatic fistula (CR-POPF) after pancreaticoduodenectomy and evaluate its application value.Methods:This is a research on predictive model. Clinical data of 421 patients undergoing pancreaticoduodenectomy in the Department of Pancreatic Surgery,Union Hospital, Tongji Medical College,Huazhong University of Science and Technology from June 2020 to May 2023 were retrospectively collected. There were 241 males (57.2%) and 180 females (42.8%) with an age of (59.7±11.0)years (range: 12 to 85 years).The research objects were divided into training set (315 cases) and test set (106 cases) by stratified random sampling in the ratio of 3∶1. Recursive feature elimination is used to screen features,nine machine learning algorithms are used to model,three groups of models with better fitting ability are selected,and the ensemble model was constructed by Stacking algorithm for model fusion. The model performance was evaluated by various indexes,and the interpretability of the optimal model was analyzed by Shapley Additive Explanations(SHAP) method. The patients in the test set were divided into different risk groups according to the prediction probability (P) of the alternative pancreatic fistula risk score system (a-FRS). The a-FRS score was validated and the predictive efficacy of the model was compared.Results:Among 421 patients,CR-POPF occurred in 84 cases (20.0%). In the test set,the Stacking ensemble model performs best,with the area under the curve (AUC) of the subject′s work characteristic curve being 0.823,the accuracy being 0.83,the F1 score being 0.63,and the Brier score being 0.097. SHAP summary map showed that the top 9 factors affecting CR-POPF after pancreaticoduodenectomy were pancreatic duct diameter,CT value ratio,postoperative serum amylase,IL-6,body mass index,operative time,albumin difference before and after surgery,procalcitonin and IL-10. The effects of each feature on the occurrence of CR-POPF after pancreaticoduodenectomy showed a complex nonlinear relationship. The risk of CR-POPF increased when pancreatic duct diameter<3.5 mm,CT value ratio<0.95,postoperative serum amylase concentration>150 U/L,IL-6 level>280 ng/L,operative time>350 minutes,and albumin decreased by more than 10 g/L. The AUC of a-FRS in the test set was 0.668,and the prediction performance of a-FRS was lower than that of the Stacking ensemble machine learning model.Conclusion:The ensemble machine learning model constructed in this study can predict the occurrence of CR-POPF after pancreaticoduodenectomy,and has the potential to be a tool for personalized diagnosis and treatment after pancreaticoduodenectomy.