Application of predictive model based on CT radiomics and machine learning in diagnosis for occult locally advanced esophageal squamous cell carcinoma before treatment: A two-center study.

PURPOSE: Development and validation of a radiomics model for predicting occult locally advanced esophageal squamous cell carcinoma (LA-ESCC) on computed tomography (CT) radiomic features before implementation of treatment. METHODS: The study retrospectively collected 574 patients with esophageal squamous cell carcinoma (ESCC) from two medical centers, which were divided into three cohorts for training, internal and external validation. After delineating volume of interest (VOI), radiomics features were extracted and subjected to feature selection using three robust methods. Subsequently, 10 machine learning models were constructed, among which the optimal model was utilized to establish a radiomics signature. Furthermore, a predictive nomogram incorporating both clinical and radiomics signatures was developed. The performance of these models was evaluated through receiver operating characteristic curves, calibration curves, decision curve analysis as well as measures including accuracy, sensitivity, and specificity. RESULTS: A total of 19 radiomics features were selected. The multilayer perceptron (MLP), which was found to be optimal, achieved an AUC of 0.919, 0.864 and 0.882 in the training, internal and external validation cohorts, respectively. Similarly, MLP showed good accuracy in distinguish occult LA-ESCC in subgroup of cT1-2N0M0 diagnosed by clinicians with 0.803 and 0.789 in two validation cohorts respectively. By incorporating the radiomics signature with clinical signature, a predictive nomogram demonstrated superior prediction performance with an AUC of 0.877 and accuracy of 0.85 in external validation cohort. CONCLUSION: The radiomics and machine learning model can offers improved accuracy in prediction of occult LA-ESCC, providing valuable assistance to clinicians when choosing treatment plans.

Lobectomy versus segmentectomy for stage IA3 (T1cN0M0) non-small cell lung cancer: a meta-analysis and systematic review.

Background: Segmentectomy has been proven to have better survival and perioperative efficacy than lobectomy for non-small cell lung cancer (NSCLC) up to 2 cm. Whether this result is applicable to stage T1cN0M0 NSCLC (2.1 to 3 cm) remains controversial. Methods: We conducted a comprehensive search across seven databases to identify relevant studies comparing lobectomy and segmentectomy procedures. Our primary focus was on survival indicators (overall survival [OS] and disease-free survival [DFS]), while for secondary outcomes, operative outcomes, hospitalization outcomes, recurrences, and complications were considered. Results: After screening, the final analysis included 10 studies (involving 22113 patients in the lobectomy group and 1627 patients in the segmentectomy group). The lobectomy procedure achieved better OS (hazard ratio [HR]: 1.19 [1.07~1.33]) and DFS (HR: 1.37 [1.10~1.71]), which were proven in all subgroups. The OS rate at 2-5 years and DFS rate at 4-5 years were higher in the lobectomy group. The advantages of OS and DFS in the lobectomy group increased over the survival time. More lymph node dissections, intraoperative blood loss and total complications were found in the lobectomy group. Similar hospital stays, 90-day mortality and conversion thoracotomy were found between the two groups. Conclusion: Lobectomy appeared to be the better choice for patients with stage T1cN0M0 NSCLC with better survival (OS and DFS). However, the complications needed to be taken seriously. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/, identification CRD42023445013.

Study on the radiation and self-absorption characteristics of plasma under various background gases.

The self-absorption effect is a primary factor responsible for the decline in the precision of quantitative analysis techniques using plasma emission spectroscopy, such as laser-induced breakdown spectroscopy (LIBS). In this study, based on the thermal ablation and hydrodynamics models, the radiation characteristics and self-absorption of laser-induced plasmas under different background gases were theoretically simulated and experimentally verified to investigate ways of weakening the self-absorption effect in plasma. The results reveal that the plasma temperature and density increase with higher molecular weight and pressure of the background gas, leading to stronger species emission line intensity. To reduce the self-absorption effect in the later stages of plasma evolution, we can decrease the gas pressure or substitute the background gas with a lower molecular weight. As the excitation energy of the species increases, the impact of the background gas type on the spectral line intensity becomes more pronounced. Moreover, we accurately calculated the optically thin moments under various conditions using theoretical models, which are consistent with the experimental results. From the temporal evolution of the doublet intensity ratio of species, it is deduced that the optically thin moment appears later with higher molecular weight and pressure of the background gas and lower upper energy of the species. This theoretical research is essential in selecting the appropriate background gas type and pressure and doublets in self-absorption-free LIBS (SAF-LIBS) experiments to weaken the self-absorption effect.

Non-contact bacterial identification and decontamination based on laser-induced breakdown spectroscopy.

As a new kind of modern military biological weapon, bacterial agents pose a serious threat to the public health security of human beings. Existing bacterial identification requires manual sampling and testing, which is time-consuming, and may also introduce secondary contamination or radioactive hazards during decontamination. In this paper, a non-contact, nondestructive and "green" bacterial identification and decontamination technology based on laser-induced breakdown spectroscopy (LIBS) is proposed. The principal component analysis (PCA) combined with support vector machine (SVM) based on radial basis kernel function is used to establish the classification model of bacteria, and the two-dimensional decontamination test of bacteria is carried out using laser-induced low-temperature plasma combined with a vibration mirror. The experimental results show that the average identification rate of the seven types of bacteria, including Escherichia coli, Bacillus subtilis, Pseudomonas fluorescens, Bacillus megatherium, Pseudomonas aeruginosa, Bacillus thuringiensis and Enterococcus faecalis reaches 98.93%, and the corresponding true positive rate, precision, recall and F1-score reaches 0.9714, 0.9718, 0.9714 and 0.9716, respectively. The optimal decontamination parameters are laser defocusing amount of -50 mm, laser repetition rate of 15-20 kHz, scanning speed of 150 mm/s and number of scans of 10. In this way, the decontamination speed can reach 25.6 mm2/min, and the inactivation rates for both Escherichia coli and Bacillus subtilis are higher than 98%. In addition, it is confirmed that the inactivation rate of plasma is 4 times higher than that of thermal ablation, meaning that the decontamination ability of LIBS mainly relies on the plasma rather than the thermal ablation effect. The new non-contact bacterial identification and decontamination technology does not require sample pretreatment, and can quickly identify bacteria in situ and decontaminate the surfaces of precision instruments, sensitive materials, etc., which has potential application value in modern military, medical and public health fields.

PTMA binds to HMGB1 to regulate mitochondrial oxidative phosphorylation and thus affect the malignant progression of esophageal squamous cell carcinoma.

Background: Esophageal squamous cell carcinoma (ESCC) is a malignant tumor of the digestive tract with complex pathogenesis. There is a pressing need to search for ESCC targeted therapy sites and explore its pathogenesis. Prothymosin alpha (PTMA) is abnormally expressed in numerous tumors and has a significant regulatory effect on tumor malignant progression. However, the regulatory role and mechanism of PTMA in ESCC have not yet been reported. Methods: We first detected the PTMA expression in ESCC patients, subcutaneous tumor xenograft models of ESCC, and ESCC cells. Subsequently, PTMA expression in ESCC cells was inhibited by cell transfection, and cell proliferation and apoptosis were detected by Cell Counting Kit-8 (CCK-8), 5-ethynyl-2'-deoxyuridine (EdU) staining, flow cytometry, and Western blot. A dichloro-dihydro-fluorescein diacetate (DCFH-DA) assay was used to detect reactive oxygen species (ROS) level in cells, and MitoSOX fluorescent probe, 5,5',6,6'-tetrachloro-1,1',3,3'-tetraethyl-benzimidazolyl carbocyanine iodide (JC-1) staining, mitochondrial complex kit, and Western blot were used to detect the expression of mitochondrial oxidative phosphorylation. Next, the combination between PTMA and high mobility group box 1 (HMGB1) was detected using Co-immunoprecipitation (co-IP) and immunofluorescence (IF) techniques. Finally, the expression of PTMA was inhibited and the expression of HMGB1 was overexpressed in cells via cell transfection, and the regulatory effect of PTMA and HMGB1 binding on mitochondrial oxidative phosphorylation in ESCC was determined through related experiments. Results: The expression of PTMA in ESCC was abnormally elevated. The inhibition of PTMA expression in ESCC cells significantly decreased the activity of ESCC cells and increased their apoptosis. Moreover, interference with PTMA can induce ROS aggregation in ESCC cells by inhibiting mitochondrial oxidative phosphorylation, which may be achieved by binding to HMGB1. Conclusions: PTMA binds to HMGB1 to regulate mitochondrial oxidative phosphorylation, thereby affecting the malignant progression of ESCC.

PHLDA3 activated by BARX2 transcription, suppresses the malignant development of esophageal squamous cell carcinoma by downregulating PI3K/AKT levels.

BACKGROUND: Low pleckstrin homology-like domain family A, member 3 (PHLDA3) expression has been reported to be associated with cancer specificity and disease-free survival in esophageal squamous cell carcinoma (ESCC), and was an independent predictor of postoperative recurrence. However, the specific mechanisms involved are still unclear. This paper aimed to explore the role and its mechanisms of PHLDA3 in ESCC. MATERIALS AND METHODS: PHLDA3 and BarH-like homeobox 2 (BARX2) expressions in ESCC were predicted by Gene Expression Profiling Interactive Analysis (GEPIA) analysis and determined by quantitative real-time polymerase chain reaction (qRT-PCR) and western Blot. Western blot detected the expression of proteins associated with migration, angiogenesis and phosphoinositide 3-kinase (PI3K)/protein kinase B (PKB/AKT) signaling pathway. The University of California Santa Cruz Genomics Institute (UCSC) database predicted that the relationship of BARX2 and PHLDA3 promoter and JASPAR identified the possible binding sites. Dual luciferase gene reporter verified PHLDA3 promoter activity, and the relationship of both was determined by chromatin immunoprecipitation (CHIP). Cell counting kit (CCK)-8, 5-ethynyl-2'-deoxyuridine (EDU) and colony formation were used to assess cell proliferation. Wound healing and transwell were used to detect cell migration and invasion ability. Tube formation assay was applied to assess angiogenesis. Mice were injected with transfected KYSE30 cells under the right axilla. Body weight and tumor volume and mass were recorded for each group of mice. Immunohistochemistry was performed to detect KI67 level in tumor tissues. RESULTS: Both PHLDA3 and BARX2 were downregulated in ESCC. The upregulated PHLDA3 suppressed PI3K/AKT expression. In addition, BARX2 bound to the PHLDA3 promoter and transcriptionally activated PHLDA3. PHLDA3 overexpression inhibited ESCC cell proliferation, migration, invasion and angiogenesis, but this effect was reversed by BARX2 knockdown. In addition, BARX2 overexpression inhibited ESCC cell proliferation, migration, invasion and angiogenesis, but this effect was reversed by PHLDA3 knockdown. CONCLUSION: PHLDA3 was transcriptionally activated by BARX2 and inhibited malignant progression of ESCC by downregulating PI3K/AKT levels.

Study on direct identification of bacteria by laser-induced breakdown spectroscopy.

Bacteria are everywhere in the natural environment. Although most of them are harmless, there are still some hazardous bacteria that will harm human health, so it is particularly important to identify bacteria quickly. Compared with traditional time-consuming and complicated identification methods, laser-induced breakdown spectroscopy (LIBS) is one of the potential technologies for rapid identification of bacteria. In this paper, six weakly active bacteria, including Escherichia coli, Enterococcus faecalis, Bacillus megaterium, Bacillus thuringiensis, Pseudomonas aeruginosa and Bacillus subtilis, are taken as analysis samples. The thawed bacteria are placed in deionized water, and then uniformly smeared on five kinds of substrates to verify the feasibility of using LIBS to identify these bacteria. Spectrum filtering, normalization and principal component analysis (PCA) are used to preprocess the spectra, and a multi-class identification method based on the one-against-all linear kernel function of support vector machine (SVM) is proposed to establish the prediction model. The identification performance is evaluated by using precision and recall. The experimental results show that high-purity graphite is the best substrate with the least interference to the LIBS spectrum of bacteria. The prediction precision of these six bacteria is 77.27%, 92.86%, 84.21%, 94.12%, 81.82% and 76.92%, respectively, recall is 85%, 100%, 94.12%, 80%, 81.82% and 75% respectively, and the identification rate is 84.17%. It can be seen that the direct identification of bacteria can be preliminarily realized by smearing bacteria on the graphite substrate and analyzing its LIBS spectra, which provides a feasible way for simple, rapid and on-site bacterial identification.

Cysteinyl-tRNA Synthetase 1 Promotes Ferroptosis-Induced Cell Death via Regulating GPX4 Expression.

Esophageal squamous cell carcinoma (ESCC) has still been considered to be the most common malignant tumors in China. Emerging evidence indicates that cysteinyl-tRNA synthetase 1 (CARS1) has been considered as a ferroptosis-related gene in ESCC. However, the roles and molecular mechanisms of CARS1 in ferroptosis-induced cell death of ESCC are still largely unknown. In our study, we investigated an aberrantly upregulated gene in ESCC tumor tissues CARS1 significantly inhibited cell proliferation, and the ability of migration and invasion promoted the relative level of MDA and ROS and decreased GPX4 expression level in two ESCC cell lines. Mechanistically, both the ferroptosis inhibitor ferrostatin-1 and its inducer erastin were further used and indicated that CARS1 participated in the ferroptosis-induced cell death. Together, these results revealed that CARS1 has a critical function in the progression of ESCC by promoting ferroptosis-induced cell death.

Prevalence and influencing factors of anxiety and depression symptoms among surgical nurses during COVID-19 pandemic: A large-scale cross-sectional study.

AIM: To evaluate the prevalence and influencing factors of anxiety and depression symptoms in surgical nurses during the COVID-19 epidemic in Anhui, China. METHODS: A cross-sectional, multic'entre quantitative study was conducted among surgical nurses in Anhui province. SAS, SDS and SSRS scales were used for the investigation. Data were collected between 3 March 2020 to 19 March 2020. RESULTS: A total of 3,492 surgical nurses completed the survey. The average level of anxiety and depression of surgical nurses were higher than that of the Chinese norm. Levels of social support for surgical nurses were significantly negatively associated with the degree of anxiety and depression. Fertility status, participation in care for COVID-19 patients, likelihood of being infected with COVID-19 and social support were significantly influencing surgical nurses' anxiety degree. Similarly, these characteristics were significantly associated with the odds of depression symptoms in surgical nurses. CONCLUSION: These findings suggest that targeted psychological interventions to promote mental health of surgical nurses need to be immediately implemented.

M2 Macrophage-Derived Exosomal lncRNA AFAP1-AS1 and MicroRNA-26a Affect Cell Migration and Metastasis in Esophageal Cancer.

Exosomes from cancer cells or immune cells, carrying bio-macromolecules or long non-coding RNAs (lncRNAs), participate in tumor pathogenesis and progression by modulating the microenvironment. This study aims to explore the function of M2 macrophage-derived exosomes on the invasion and metastasis of esophageal cancer (EC) with the involvement of the lncRNA AFAP1-AS1/microRNA-26a (miR-26a)/activating transcription factor 2 (ATF2) axis. We found that lncRNA AFAP1-AS1 could specifically bind to miR-26a, thus affecting the expression of miR-26a, and ATF2 was the direct target of miR-26a. Compared with M1 macrophage-derived exosomes, M2 macrophage-derived exosomes exhibited higher AFAP1-AS1 and ATF2 expression and lower miR-26a expression. Moreover, extracellular AFAP1-AS1 could be moved to KYSE410 cells via being incorporated into M2 macrophage-derived exosomes. M2 macrophage-derived exosomes could downregulate miR-26a and promote the expression of ATF2 through high expression of AFAP1-AS1, thus promoting the migration, invasion, and lung metastasis of EC cells; M2-exosomes upregulating AFAP1-AS1 or downregulating miR-26a ameliorated this effect. In summary, M2 macrophage-derived exosomes transferred lncRNA AFAP1-AS1 to downregulate miR-26a and upregulate ATF2, thus promoting the invasion and metastasis of EC. Targeting M2 macrophages and the lncRNA AFAP1-AS1/miR-26a/ATF2 signaling axis represents a potential therapeutic strategy for EC.