Clinicopathological and prognostic factor analyses of primary fallopian tube carcinoma and high-grade serous ovarian cancer: a single-institution retrospective study.

Objective: This study aimed to evaluate and compare the clinicopathologic features of primary fallopian tubal carcinoma (PFTC) and high-grade serous ovarian cancer (HGSOC) and explore the prognostic factors of these two malignant tumors.

Methods: Fifty-seven patients diagnosed with PFTC from 2006 to 2015 and 60 patients diagnosed with HGSOC from 2014 to 2015 with complete prognostic information were identified at Women's Hospital of Zhejiang University. The clinicopathological and surgical data were collected, and the survival of the patients was followed for 5 years after surgery.

Effects of functional training on physical and technical performance among the athletic population: a systematic review and narrative synthesis.

Background: The evidence indicates that functional training is beneficial for athletes' physical and technical performance. However, a systematic review of the effects of functional training on athletes' physical and technical performance is lacking. Therefore, this study uses a literature synthesis approach to evaluate the impact of functional training on the physical and technical performance of the athletic population and to extend and deepen the existing body of knowledge.

A machine learning-based model to predict POD24 in follicular lymphoma: a study by the Chinese workshop on follicular lymphoma.

Background: Disease progression within 24 months (POD24) significantly impacts overall survival (OS) in patients with follicular lymphoma (FL). This study aimed to develop a robust predictive model, FLIPI-C, using a machine learning approach to identify FL patients at high risk of POD24.

Methods: A cohort of 1,938 FL patients (FL1-3a) from seventeen centers nationwide in China was randomly divided into training and internal validation sets (2:1 ratio).

Prominent efficacy and good safety of sequential CD19 and CD22 CAR-T therapy in relapsed/refractory adult B-cell acute lymphoblastic leukemia.

Background: Sequential CD19 and CD22 chimeric antigen receptor (CAR)-T cell therapy offers a promising approach to antigen-loss relapse in relapsed/refractory (R/R) B-cell acute lymphoblastic leukemia (B-ALL); however, research in adults remains limited.

Methods: This study aimed to evaluate the efficacy and safety of sequential CD19 and CD22 CAR-T cell therapy in adult patients with R/R B-ALL between November 2020 and November 2023 (ChiCTR2100053871). Key endpoints included the adverse event incidence, overall survival (OS), and leukemia-free survival (LFS).

Immunomodulatory insights of monoterpene glycosides in endometriosis: immune infiltration and target pathways analysis.

Endometriosis is a complex gynecological condition characterized by abnormal immune responses. This study aims to explore the immunomodulatory effects of monoterpene glycosides from Paeonia lactiflora on endometriosis. Using the ssGSEA algorithm, we assessed immune cell infiltration levels between normal and endometriosis groups.

Immune-related gene SOX10 affects ferroptosis in pancreatic cancer and facilitates tumor progression by targeting CMTM7-mediated Wnt/β-catenin signaling pathway.

Objectives: SOX10 is crucially implicated in various cancer, yet the regulatory role in pancreatic cancer (PC) remains enigmatic. Underlying molecular mechanisms of SOX10 in PC were explored in our study.

Methods: Relationships between SOX10 and immune landscape were estimated using bioinformatic approaches.

Evaluation of an enhanced ResNet-18 classification model for rapid On-site diagnosis in respiratory cytology.

Objective: Rapid on-site evaluation (ROSE) of respiratory cytology specimens is a critical technique for accurate and timely diagnosis of lung cancer. However, in China, limited familiarity with the Diff-Quik staining method and a shortage of trained cytopathologists hamper utilization of ROSE. Therefore, developing an improved deep learning model to assist clinicians in promptly and accurately evaluating Diff-Quik stained cytology samples during ROSE has important clinical value.

Dichotomitin promotes osteoblast differentiation and improves osteoporosis by inhibiting oxidative stress.

Objective: Osteoporosis is a systemic disease with high morbidity and significant adverse effects. Increasing evidence supports the close relationship between oxidative stress and osteoporosis, suggesting that treatment with antioxidants may be a viable approach. This study evaluated the antioxidant properties of dichotomitin (DH) and its potential protective effects against osteoporosis.

Aidi injection inhibits the migration and invasion of gefitinib-resistant lung adenocarcinoma cells by regulating the PLAT/FAK/AKT pathway.

Background: With extended gefitinib treatment, the therapeutic effect in some non-small cell lung cancer (NSCLC) patients declined with the development of drug resistance. Aidi injection (ADI) is utilized in various cancers as a traditional Chinese medicine prescription. This study explores the molecular mechanism by which ADI, when combined with gefitinib, attenuates gefitinib resistance in PC9GR NSCLC cells.

Preoperative immunochemotherapy versus chemotherapy as first-line treatment for patients with stage I-IIIB small-cell lung cancer.

Background: To date, there remains a paucity of comparative investigations pertaining to preoperative immunochemotherapy and conventional chemotherapy in the context of limited-stage small-cell lung cancer (LS-SCLC) patients. This study conducted a comprehensive comparative assessment concerning the safety and efficacy profiles of preoperative immunochemotherapy and chemotherapy in individuals diagnosed with stage I-IIIB SCLC.

Methods: This investigation collected 53 consecutive patients diagnosed with LS-SCLC spanning stage I to IIIB who underwent preoperative immunochemotherapy or conventional chemotherapy at our hospital from January 2019 to July 2021.

Associations of healthy lifestyle and family income to poverty ratio with all-cause mortality among people with prediabetes and diabetes: a prospective cohort study.

Background: Family income to poverty ratio (PIR) may have independent effects on diet and lifestyle factors and the development of prediabetes and diabetes, as well as on mortality. It is unclear how the protective effect of a healthy lifestyle against death differs between individuals with different glucose metabolic profiles and whether PIR mediates this effect. This study aimed to explore whether healthy lifestyle and family PIR reduced the risk of all-cause mortality in participants with different metabolic status and the mediating role of PIR.

Existing problems and new advice on stage criteria of natural history for chronic hepatitis B.

The natural stages of chronic hepatitis B can be divided into four stages according to changes in virology, biochemistry, and pathology. However, there have been significant differences in the recommended stage criteria in the several major guidelines for chronic hepatitis B, especially regarding the immune tolerance phase. Inconsistent standards of indicators for different stages resulted in some problems, such as incorrect stage, uncertain stages and poor comparation of related studies.

Evaluating the weight-adjusted waist index as a predictive tool for sarcopenia and mortality risk.

Purpose: The weight-adjusted waist index (WWI) is a novel anthropometric measure. WWI is linked to reduced muscle mass and strength; however, its efficacy for assessing sarcopenia and predicting adverse outcomes has yet to be validated. This study compared and examined the relationship between sarcopenia and WWI across different diagnostic criteria and aimed to evaluate its potential as a predictor of sarcopenia and all-cause mortality.

A phosphorylation-regulated NPF transporter determines salt tolerance by mediating chloride uptake in soybean plants.

Chloride (Cl) ions cause major damage to crops in saline soils. Understanding the key factors that influence Cl uptake and translocation will aid the breeding of more salt-tolerant crops. Here, using genome-wide association study and transcriptomic analysis, we identified a NITRATE TRANSPORTER 1 (NRT1)/PEPTIDE TRANSPORTER family (NPF) protein, GmNPF7.

Adaptive average arterial pressure control by multi-agent on-policy reinforcement learning.

The current research introduces a model-free ultra-local model (MFULM) controller that utilizes the multi-agent on-policy reinforcement learning (MAOPRL) technique for remotely regulating blood pressure through precise drug dosing in a closed-loop system. Within the closed-loop system, there exists a MFULM controller, an observer, and an intelligent MAOPRL algorithm. Initially, a flexible MFULM controller is created to make adjustments to blood pressure and medication dosages.

Exploring the spatiotemporal effects of urban scale and urban vitality on S&D balance in the Yangtze River Delta, China from 2015 to 2025.

Analysis of the spatiotemporal trends of urban scale and urban vitality on ecosystem services balance provides an essential basis for regional sustainable development. This study employs the Spatial Durbin Model (SDM), Spatial Autoregressive Model (SAR), and Geographically and Temporally Weighted Regression (GTWR) to effectively capture spatiotemporal associations between urban scale, urban vitality, and ecosystem services supply-demand balance, providing a detailed view of regional variations. The integrated framework combines spatiotemporal analysis, predictive scenario simulation, and importance-performance analysis to quantify and strategize urban impacts on ESs.

Future food prices will become less sensitive to agricultural market prices and mitigation costs.

Agricultural production costs represent less than half of total food prices for higher-income countries and will likely further decrease globally. Added-value components such as transport, processing, marketing and catering show increasing importance in food value chains, especially as countries undergo a nutrition transition towards more complex and industrial food systems. Here, using a combined statistical and process-based modelling framework, we derive and project the value-added component of food prices for 136 countries and 11 different food groups, for food-at-home and food-away-from-home.

Gene-level analysis reveals the genetic aetiology and therapeutic targets of schizophrenia.

Genome-wide association studies (GWASs) have reported multiple risk loci for schizophrenia (SCZ). However, the majority of the associations were from populations of European ancestry. Here we conducted a large-scale GWAS in Eastern Asian populations (29,519 cases and 44,392 controls) and identified ten Eastern Asian-specific risk loci, two of which have not been previously reported.

A randomized cohort study on the use of 3D printed models to enhance surgical training in suturing techniques.

Three-dimensional (3D) printed surgical models provide an excellent surgical training option to closely mimic real operations to teach medical students who currently rely largely on visual learning aided with simple suturing pads. There is an unmet need to create simple to complex surgical training programs suitable for medical students. A prospective cohort study was conducted on a group of 16 6th year students.

SVM directed machine learning classifier for human action recognition network.

Understanding human behavior and human action recognition are both essential components of effective surveillance video analysis for the purpose of guaranteeing public safety. However, existing approaches such as three-dimensional convolutional neural networks (3D CNN) and two-stream neural networks (2SNN) have computational hurdles due to the significant parameterization they require. In this paper, we offer HARNet, a specialized lightweight residual 3D CNN that is built on directed acyclic graphs and was created expressly to handle these issues and achieve effective human action detection.