ABSTRACT
OBJECTIVE: Previous studies have revealed associations between sleep quality and mental health, yet the comprehensive role of sleep quality, daytime dysfunction, social exclusion, and self-control in difficulties with emotion regulation remains unclear. This study aimed to elucidate how sleep quality affects emotion regulation difficulties among middle school students through pathways involving daytime dysfunction, social exclusion, and self-control, thereby providing a more comprehensive theoretical basis for mental health interventions. METHODS: Utilizing the pittsburgh sleep quality index, the adolescent social exclusion scale, the brief self-control scale, and emotion regulation scale-short form, we assessed 1067 students randomly selected from four middle schools from October to November 2023. After the removal of extreme values (those exceeding 3 standard deviations), 806 students were retained for data analysis. RESULTS: Our findings indicate that poor sleep quality significantly contributes to increased daytime dysfunction(ß = 0.86, SE = 0.07, p < .001), which in turn affects social exclusion(ß = 0.60, SE = 0.16, p < 0 0.001), self-control abilities(ß = 1.27, SE = 0.16, p < .001) and emotion regulation difficulties(ß = 1.56, SE = 0.30, p < .001). Social exclusion mediates the relationship between sleep quality and emotion regulation difficulties(Estimate = 0.11, SE = 0.04, 95% CI [0.04, 0.20] ). CONCLUSION: The aim of this study is to provide new insights into the development of effective intervention measures to improve sleep and mental health in adolescents.
Subject(s)
Emotional Regulation , Self-Control , Sleep Quality , Humans , Adolescent , Female , Male , Self-Control/psychology , Psychological Distance , Mediation Analysis , Students/psychology , Students/statistics & numerical data , Surveys and Questionnaires , Social Isolation/psychologyABSTRACT
BACKGROUND: Rising prostate-specific antigen (PSA) levels following radical prostatectomy are indicative of a poor prognosis, which may associate with periprostatic adipose tissue (PPAT). Accordingly, we aimed to construct a dynamic online nomogram to predict tumor short-term prognosis based on 18F-PSMA-1007 PET/CT of PPAT. METHODS: Data from 268 prostate cancer (PCa) patients who underwent 18F-PSMA-1007 PET/CT before prostatectomy were analyzed retrospectively for model construction and validation (training cohort: n = 156; internal validation cohort: n = 65; external validation cohort: n = 47). Radiomics features (RFs) from PET and CT were extracted. Then, the Rad-score was constructed using logistic regression analysis based on the 25 optimal RFs selected through maximal relevance and minimal redundancy, as well as the least absolute shrinkage and selection operator. A nomogram was constructed to predict short-term prognosis which determined by persistent PSA. RESULTS: The Rad-score consisting of 25 RFs showed good discrimination for classifying persistent PSA in all cohorts (all P < 0.05). Based on the logistic analysis, the radiomics-clinical combined model, which contained the optimal RFs and the predictive clinical variables, demonstrated optimal performance at an AUC of 0.85 (95% CI: 0.78-0.91), 0.77 (95% CI: 0.62-0.91) and 0.84 (95% CI: 0.70-0.93) in the training, internal validation and external validation cohorts. In all cohorts, the calibration curve was well-calibrated. Analysis of decision curves revealed greater clinical utility for the radiomics-clinical combined nomogram. CONCLUSION: The radiomics-clinical combined nomogram serves as a novel tool for preoperative individualized prediction of short-term prognosis among PCa patients.
ABSTRACT
OBJECTIVE: To extract texture features from vocal cord leukoplakia (VCL) images and establish a VCL risk stratification prediction model using machine learning (ML) techniques. METHODS: A total of 462 patients with pathologically confirmed VCL were retrospectively collected and divided into low-risk and high-risk groups. We use a 5-fold cross validation method to ensure the generalization ability of the model built using the included dataset and avoid overfitting. Totally 504 texture features were extracted from each laryngoscope image. After feature selection, 10 ML classifiers were utilized to construct the model. The SHapley Additive exPlanations (SHAP) was employed for feature analysis. To evaluate the model, accuracy, sensitivity, specificity, and the area under the receiver operating characteristic (ROC) curve (AUC) were utilized. In addition, the model was transformed into an online application for public use and further tested in an independent dataset with 52 cases of VCL. RESULTS: A total of 12 features were finally selected, random forest (RF) achieved the best model performance, the mean accuracy, sensitivity, specificity, and AUC of the 5-fold cross validation were 92.2 ± 4.1%, 95.6 ± 4.0%, 85.8 ± 5.8%, and 90.7 ± 4.9%, respectively. The result is much higher than the clinicians (AUC between 63.1% and 75.2%). The SHAP algorithm ranks the importance of 12 texture features to the model. The test results of the additional independent datasets were 92.3%, 95.7%, 90.0%, and 93.3%, respectively. CONCLUSION: The proposed VCL risk stratification prediction model, which has been developed into a public online prediction platform, may be applied in practical clinical work. LEVEL OF EVIDENCE: 3 Laryngoscope, 2024.
ABSTRACT
Acute hepatitis E was considered rare until reports emerged affirming the existence of hepatitis E virus (HEV) genotypes 3 and 4 infections in Japan in the early 2000s. Extensive studies by Japanese researchers have highlighted the pivotal role of pigs and wild animals, such as wild boars and deer, as reservoirs for HEV, linking them to zoonotic infections in Japan. Currently, when hepatitis occurs subsequent to the consumption of undercooked or grilled pork, wild boar meat, or offal (including pig liver and intestines), HEV infection should be considered. Following the approval of anti-HEV immunoglobulin A antibody as a diagnostic tool for hepatitis E by Japan's Health Insurance System in 2011, the annual number of diagnosed cases of HEV infection has surged. Notably, the occurrence of post-transfusion hepatitis E promoted nationwide screening of blood products for HEV using nucleic acid amplification tests since 2020. Furthermore, chronic hepatitis E has been observed in immunosuppressed individuals. Considering the significance of hepatitis E, heightened preventive measures are essential. The Japan Agency for Medical Research and Development Hepatitis A and E viruses (HAV and HEV) Study Group, which includes special virologists and hepatologists, held a virtual meeting on February 17, 2024. Discussions encompassed pathogenesis, transmission routes, diagnosis, complications, severity factors, and ongoing and prospective vaccination or treatments for hepatitis E. Rigorous assessment of referenced studies culminated in the formulation of recommendations, which are detailed within this review. This comprehensive review presents recent advancements in HEV research and Japanese clinical practice guidelines for HEV infection.
ABSTRACT
Despite the fact that lower back pain caused by degenerative lumbar spine pathologies seriously affects the quality of life, however, there is a paucity of research on the biomechanical properties of different auxiliary fixation systems for its primary treatment (oblique lumbar interbody fusion) under vibratory environments. In order to study the effects of different fixation systems of OLIF surgery on the vibration characteristics of the human lumbar spine under whole-body vibration (WBV), a finite element (FE) model of OLIF surgery with five different fixation systems was established by modifying a previously established model of the normal lumbar spine (L1-S1). In this study, a compressive follower load of 500 N and a sinusoidal axial vertical load of ±40 N at the frequency of 5 Hz with a duration of 0.6 s was applied. The results showed that the bilateral pedicle screw fixation model had the highest resistance to cage subsidence and maintenance of disc height under WBV. In contrast, the lateral plate fixation model exerted very high stresses on important tissues, which would be detrimental to the patient's late recovery and reduction of complications. Therefore, this study suggests that drivers and related practitioners who are often in vibrating environments should have bilateral pedicle screws for OLIF surgery, and side plates are not recommended to be used as a separate immobilization system. Additionally, the lateral plate is not recommended to be used as a separate fixation system.
Subject(s)
Finite Element Analysis , Lumbar Vertebrae , Spinal Fusion , Vibration , Spinal Fusion/instrumentation , Lumbar Vertebrae/surgery , Humans , Biomechanical Phenomena , Pedicle ScrewsABSTRACT
PURPOSE: Biochemical recurrence (BCR) following radical prostatectomy (RP) is a significant concern for patients with prostate cancer. Reliable prediction models are needed to identify patients at risk for BCR and facilitate appropriate management. This study aimed to develop and validate a clinical-radiomics model based on preoperative [18 F]PSMA-1007 PET for predicting BCR-free survival (BRFS) in patients who underwent RP for prostate cancer. MATERIALS AND METHODS: A total of 236 patients with histologically confirmed prostate cancer who underwent RP were retrospectively analyzed. All patients had a preoperative [18 F]PSMA-1007 PET/CT scan. Radiomics features were extracted from the primary tumor region on PET images. A radiomics signature was developed using the least absolute shrinkage and selection operator (LASSO) Cox regression model. The performance of the radiomics signature in predicting BRFS was assessed using Harrell's concordance index (C-index). The clinical-radiomics nomogram was constructed using the radiomics signature and clinical features. The model was externally validated in an independent cohort of 98 patients. RESULTS: The radiomics signature comprised three features and demonstrated a C-index of 0.76 (95% CI: 0.60-0.91) in the training cohort and 0.71 (95% CI: 0.63-0.79) in the validation cohort. The radiomics signature remained an independent predictor of BRFS in multivariable analysis (HR: 2.48, 95% CI: 1.47-4.17, p < 0.001). The clinical-radiomics nomogram significantly improved the prediction performance (C-index: 0.81, 95% CI: 0.66-0.95, p = 0.007) in the training cohort and (C-index: 0.78 95% CI: 0.63-0.89, p < 0.001) in the validation cohort. CONCLUSION: We developed and validated a novel [18 F]PSMA-1007 PET-based clinical-radiomics model that can predict BRFS following RP in prostate cancer patients. This model may be useful in identifying patients with a higher risk of BCR, thus enabling personalized risk stratification and tailored management strategies.
Subject(s)
Positron Emission Tomography Computed Tomography , Prostatectomy , Prostatic Neoplasms , Humans , Male , Prostatic Neoplasms/diagnostic imaging , Prostatic Neoplasms/surgery , Middle Aged , Aged , Retrospective Studies , Oligopeptides/chemistry , Disease-Free Survival , Image Processing, Computer-Assisted , Radiomics , Niacinamide/analogs & derivativesABSTRACT
Frizzled receptors (FZDs) are key contributors intrinsic to the Wnt signaling pathway, activation of FZDs triggering the Wnt signaling cascade is frequently observed in human tumors and intimately associated with an aggressive carcinoma phenotype. It has been shown that the abnormal expression of FZD receptors contributes to the manifestation of malignant characteristics in human tumors such as enhanced cell proliferation, metastasis, chemotherapy resistance as well as the acquisition of cancer stemness. Given the essential roles of FZD receptors in the Wnt signaling in human tumors, this review aims to consolidate the prevailing knowledge on the specific status of FZD receptors (FZD1-10) and elucidate their respective functions in tumor progression. Furthermore, we delineate the structural basis for binding of FZD and its co-receptors to Wnt, and provide a better theoretical foundation for subsequent studies on related mechanisms. Finally, we describe the existing biological classes of small molecule-based FZD inhibitors in detail in the hope that they can provide useful assistance for design and development of novel drug candidates targeted FZDs.
Subject(s)
Antineoplastic Agents , Frizzled Receptors , Neoplasms , Wnt Signaling Pathway , Humans , Frizzled Receptors/metabolism , Frizzled Receptors/antagonists & inhibitors , Neoplasms/drug therapy , Neoplasms/metabolism , Neoplasms/pathology , Wnt Signaling Pathway/drug effects , Antineoplastic Agents/therapeutic use , Antineoplastic Agents/pharmacology , Animals , Molecular Targeted Therapy/methodsABSTRACT
To conduct an epidemiological study of hepatitis E virus (HEV) in Japanese wild boars, we collected 179 serum and 162 fecal specimens from wild boars in eight Japanese prefectures; 39 of the serum samples (21.8%) were positive for anti-HEV IgG antibodies. RT-qPCR revealed HEV RNA in 11 serum samples (6.1%) and 5 fecal samples (3.1%). We obtained 412 bp of the viral genome sequences of ORF2 from five pairs of serum and fecal samples. All strains were subtype b in genotype 3 (HEV-3b) but separated into different clusters. We determined the entire genome sequence of HEV-3b strain WB0567 using a fecal specimen and isolated this strain by cell culture using PLC/PRF/5 cells. Eleven nucleotide mutations had occurred during virus replication. These results suggest that HEV-3b circulated uniformly among wild boars in Japan. Direct sequencing using a suspected animal's samples is indispensable for predicting original HEV nucleotide sequences.
Subject(s)
Feces , Genotype , Hepatitis E virus , Hepatitis E , Sus scrofa , Swine Diseases , Animals , Hepatitis E virus/genetics , Hepatitis E virus/isolation & purification , Hepatitis E virus/classification , Japan/epidemiology , Sus scrofa/virology , Hepatitis E/veterinary , Hepatitis E/virology , Hepatitis E/epidemiology , Feces/virology , Swine Diseases/virology , Swine Diseases/epidemiology , Swine , Phylogeny , Genome, Viral , RNA, Viral/geneticsABSTRACT
BACKGROUND: In Total Hip replacement (THR) surgery, a critical step is to cut an accurate hemisphere into the acetabulum so that the component can be fitted accurately and obtain early stability. This study aims to determine whether burring rather than reaming the acetabulum can achieve greater accuracy in the creation of this hemisphere. METHODS: A preliminary robotic system was developed to demonstrate the feasibility of burring the acetabulum using the Universal Robot (UR10). The study will describe mechanical design, robot trajectory optimisation, control algorithm development, and results from phantom experiments compared with both robotic reaming and conventional reaming. The system was also tested in a cadaver experiment. RESULTS: The proposed robotic burring system can produce a surface in 2 min with an average error of 0.1 and 0.18 mm, when cutting polyurethane bone block #15 and #30, respectively. The performance was better than robotic reaming and conventional hand reaming. CONCLUSION: The proposed robotic burring system outperformed robotic and conventional reaming methods to produce an accurate acetabular cavity. The findings show the potential usage of a robotic-assisted burring in THR for acetabular preparation.
Subject(s)
Arthroplasty, Replacement, Hip , Hip Prosthesis , Robotic Surgical Procedures , Robotics , Humans , Acetabulum/surgery , Arthroplasty, Replacement, Hip/methodsABSTRACT
Cellulose, renowned for its excellent biocompatibility, finds extensive applications in both industrial and laboratory settings. However, few studies have specifically addressed the mechanistic evolution of hydrogen bond networks in cellulose during the dissolution and regeneration processes. In this research, the regeneration mechanism of cellulose in water and ethanol is investigated through molecular dynamics simulations. The results indicate that the ability of water molecules to disrupt hydrogen bonds between cellulose and ionic liquids is stronger than that of ethanol, which is more conducive to promoting the regeneration of cellulose. Besides, the Fourier transform infrared spectroscopy coupled with two-dimensional correlation infrared spectroscopy techniques are employed to unveil the evolution sequence of hydrogen bonds during dissolution and regeneration: ν(OH) (absorbed water) â ν(O3-H3···O5) (intrachain) â ν(O6-H6···O3') (interchain) â ν(O2-H2···O6) (intrachain) â ν(OH) (free). This study not only enhances our understanding of the intricate hydrogen bond dynamics in cellulose dissolution and regeneration but also provides a foundation for the expanded application of cellulose in diverse fields.
Subject(s)
Cellulose , Hydrogen Bonding , Ionic Liquids , Molecular Dynamics Simulation , Solvents , Water , Cellulose/chemistry , Water/chemistry , Solvents/chemistry , Ionic Liquids/chemistry , Spectroscopy, Fourier Transform Infrared/methods , Ethanol/chemistry , Spectrophotometry, InfraredABSTRACT
Progressive multifocal leukoencephalopathy (PML) is a demyelinating disease of the central nervous system (CNS) caused by reactivation of dormant JC polyomavirus (JCPyV). PML was mainly observed in immunocompromised individuals, such as HIV-positive patients, autoimmune disease patients, and cancer patients. Given that the presence of anti-JCPyV antibodies in serum is a risk indicator for PML development, it is essential to monitor anti-JCPyV antibody levels. In the present study, we established reporter-based single-infection neutralization assays for JCPyV and the genetically similar BK polyoma virus (BKPyV). We then confirmed the lack of cross-reactivity between the two viruses using test sera obtained from mice immunized with plasmids encoding the JCPyV or BKPyV capsid. Next, we compared neutralization antibody titers in sera from healthy donors, patients with multiple sclerosis (MS), and HIV-positive patients using an in-house enzyme-linked immunosorbent assay (ELISA) with JCPyV-like particles (virus-like particles; VLPs). A positive correlation was demonstrated between the neutralization titer (75% infectious concentration; IC75) against JCPyV and the antibody titer obtained by VLP-based JCPyV ELISA. This assay system may be applied to detect antibodies against other PyVs by generation of pseudoviruses using the respective capsid expression plasmids, and is expected to contribute to the surveillance of PyV as well as basic research on these viruses.
ABSTRACT
Orthodontic tooth movement (OTM) is a highly coordinated biomechanical response to orthodontic forces with active remodelling of alveolar bone but minor root resorption. Such antiresorptive properties of root relate to cementocyte mineralization, the mechanisms of which remain largely unknown. This study used the microarray analysis to explore long non-coding ribonucleic acids involved in stress-induced cementocyte mineralization. Gain- and loss-of-function experiments, including Alkaline phosphatase (ALP) activity and Alizarin Red S staining, quantitative real-time polymerase chain reaction (qRT-PCR), Western blot, and immunofluorescence analyses of mineralization-associated factors, were conducted to verify long non-coding ribonucleic acids taurine-upregulated gene 1 (LncTUG1) regulation in stress-induced cementocyte mineralization, via targeting the Toll-like receptor 4 (TLR4)/SphK1 axis. The luciferase reporter assays, chromatin immunoprecipitation assays, RNA pull-down, RNA immunoprecipitation, and co-localization assays were performed to elucidate the interactions between LncTUG1, PU.1, and TLR4. Our findings indicated that LncTUG1 overexpression attenuated stress-induced cementocyte mineralization, while blocking the TLR4/SphK1 axis reversed the inhibitory effect of LncTUG1 on stress-induced cementocyte mineralization. The in vivo findings also confirmed the involvement of TLR4/SphK1 signalling in cementocyte mineralization during OTM. Mechanistically, LncTUG1 bound with PU.1 subsequently enhanced TLR4 promotor activity and thus transcriptionally elevated the expression of TLR4. In conclusion, our data revealed a critical role of LncTUG1 in regulating stress-induced cementocyte mineralization via PU.1/TLR4/SphK1 signalling, which might provide further insights for developing novel therapeutic strategies that could protect roots from resorption during OTM.
Subject(s)
Proto-Oncogene Proteins , RNA, Long Noncoding , Signal Transduction , Toll-Like Receptor 4 , Trans-Activators , Toll-Like Receptor 4/metabolism , RNA, Long Noncoding/genetics , RNA, Long Noncoding/metabolism , Animals , Proto-Oncogene Proteins/metabolism , Proto-Oncogene Proteins/genetics , Mice , Trans-Activators/metabolism , Trans-Activators/genetics , Dental Cementum/metabolism , Calcification, Physiologic/genetics , Tooth Movement TechniquesABSTRACT
INTRODUCTION: The mechanosensitive ion channel, Piezo1, is responsible for transducing mechanical stimuli into intracellular biochemical signals and has been identified within periodontal ligament cells (PDLCs). Nonetheless, the precise biologic function of Piezo1 in the regulation of alveolar bone remodeling by PDLCs during compressive forces remains unclear. Therefore, this study focused on elucidating the role of the Piezo1 channel in alveolar bone remodeling and uncovering its underlying mechanisms. METHODS: PDLCs were subjected to compressive force and Piezo1 inhibitors. Piezo1 and ß-catenin expressions were quantified by quantitative reverse transcription polymerase chain reaction and Western blot. The intracellular calcium concentration was measured using Fluo-8 AM staining. The osteogenic and osteoclastic activities were assessed using alkaline phosphatase staining, enzyme-linked immunosorbent assay, quantitative reverse transcription polymerase chain reaction, and Western blot. In vivo, orthodontic tooth movement was used to determine the effects of Piezo1 on alveolar bone remodeling. RESULTS: Piezo1 and activated ß-catenin expressions were upregulated under compressive force. Piezo1 inhibition reduced ß-catenin activation, osteogenic differentiation, and osteoclastic activities. ß-catenin knockdown reversed the increased osteogenic differentiation but had little impact on osteoclastic activities. In vivo, Piezo1 inhibition led to decreased tooth movement distance, accompanied by reduced ß-catenin activation and expression of osteogenic and osteoclastic markers on the compression side. CONCLUSIONS: The Piezo1 channel is a key mechanotransduction component of PDLCs that senses compressive force and activates ß-catenin to regulate alveolar bone remodeling.
Subject(s)
Osteogenesis , beta Catenin , Humans , beta Catenin/metabolism , Cells, Cultured , Mechanotransduction, Cellular , Periodontal Ligament , Bone Remodeling/physiology , Cell Differentiation/physiologyABSTRACT
In 2018, there was a hepatitis A outbreak in Japan, and hepatitis A virus (HAV) infection is considered a sexually transmitted disease. In general, patients with hepatitis A should be given attention, and this disease should be prevented more than ever. The Japan Agency for Medical Research and Development (AMED) Hepatitis A and E viruses (HAV and HEV) Study Group has worked on the project to create "Recent Advances in Hepatitis A Virus (HAV) Research and Clinical Practice Guidelines for HAV Infection in Japan". The group consists of expert hepatologists and virologists who gathered at virtual meeting on August 5, 2023. Data about the pathogenesis, infection routes, diagnosis, complications, several factors for the severities, vaccination, and current and future treatments for hepatitis A were discussed and debated for a draft version. The participants assessed the quality of cited studies. The finalized recommendations are presented in this review. The recent advances in HAV research and clinical practice for HAV infection in Japan, have been reviewed by the AMED HAV and HEV Study Group.
ABSTRACT
OBJECTIVE: Currently, there are few practical tools for predicting the prognosis of laryngeal squamous cell carcinoma (LSCC). This study aims to establish a model and a convenient online prediction platform to predict whether LSCC patients will survive 5 years after diagnosis, providing a reference for further evaluation of patient prognosis. METHODS: This is a retrospective study based on data collected from two centers. Center 1 included 117 LSCC patients with survival prognosis data, and center 2 included 33 patients, totaling 150 patients. All data were divided into independent training sets (60 %) and testing sets (40 %). Eight machine learning (ML) algorithms were used to establish models with 11 clinical parameters as input features. The accuracy, sensitivity, specificity, and receiver operating characteristic curve (ROC) of the testing set were used to evaluate the models, and the best model was selected. The model was then developed into a website-based 5-year survival status prediction platform for LSCC. In addition, we also used the SHapley Additive exPlanations (SHAP) tool to conduct interpretability analysis on the parameters of the model. RESULTS: The LSCC 5-year survival status prediction model using the support vector machine (SVM) algorithm achieved the best results, with accuracy, sensitivity, specificity, and area under the ROC curve (AUC) of 85.0 %, 87.5 %, 75.0 %, and 81.2 % respectively. The online platform for predicting the 5-year survival status of LSCC based on this model was successfully established. The SHAP analysis shows that the clinical stage is the most important feature of the model. CONCLUSION: This study successfully established a ML model and a practical online prediction platform to predict the survival status of laryngeal cancer patients after 5 years, which may help clinicians to better evaluate the prognosis of LSCC.
Subject(s)
Carcinoma, Squamous Cell , Laryngeal Neoplasms , Humans , Laryngeal Neoplasms/mortality , Laryngeal Neoplasms/pathology , Laryngeal Neoplasms/diagnosis , Male , Retrospective Studies , Female , Middle Aged , Prognosis , Carcinoma, Squamous Cell/mortality , Carcinoma, Squamous Cell/pathology , Survival Rate , Aged , Machine Learning , Time Factors , Algorithms , ROC Curve , Support Vector Machine , Predictive Value of Tests , InternetABSTRACT
OBJECTIVE: We developed a novel method for thyroidectomy using a single-incision oral vestibular approach. To assess its advantages and disadvantages, we compared the perioperative parameters of this approach with those of transoral three-incision thyroidectomy and trans-areolar thyroidectomy. METHODS: In a study of 136 papillary thyroid carcinoma patients (2016-2018), precise thyroidectomy and neck dissection were conducted. Among them, 52 chose single-incision oral vestibular approach, 33 chose three-incision variant, and 51 underwent trans-areolar thyroidectomy. Perioperative aspects of the transoral single-incision group were compared with those of transoral three-incision group, and transthoracic group. RESULTS: In the cohort, meticulous tumor level VI lymph node dissection was performed, achieving intended resection extent with one case requiring a switch from transoral to transthoracic approach. No nerve palsy occurred in the transoral group. Thyroidectomy duration varied significantly across groups. Transoral single-incision had a shorter duration than transoral three-incision and longer than transthoracic. Minor differences were observed in blood loss and drainage. Perioperative factors like hematoma, infection, hypocalcemia, et al., remained consistent. Notably, no tumor recurrence was observed in this study. CONCLUSIONS: This new transoral video-assisted neck surgery (TOVANS) method for thyroidectomy without gas insufflation approach did not increase the surgical complexity compared with the transoral vestibular three-incision thyroidectomy and the trans-areolar thyroidectomy. LEVEL OF EVIDENCE: 3 Laryngoscope, 2023.
ABSTRACT
Carcinogen exposure is strongly associated with enhanced cancer immunogenicity. Increased tumor mutational burden and resulting neoantigen generation have been proposed to link carcinogen exposure and cancer immunogenicity. However, the neoantigen-independent immunological impact of carcinogen exposure on cancer is unknown. Here, we demonstrate that chemical carcinogen-exposed cancer cells fail to establish an immunosuppressive tumor microenvironment (TME), resulting in their T cell-mediated rejection in vivo. A chemical carcinogen-treated breast cancer cell clone that lacked any additional coding region mutations (i.e., neoantigen) was rejected in mice in a T cell-dependent manner. Strikingly, the coinjection of carcinogen- and control-treated cancer cells prevented this rejection, suggesting that the loss of immunosuppressive TME was the dominant cause of rejection. Reduced M-CSF expression by carcinogen-treated cancer cells significantly suppressed tumor-associated macrophages (TAMs) and resulted in the loss of an immunosuppressive TME. Single-cell analysis of human lung cancers revealed a significant reduction in the immunosuppressive TAMs in former smokers compared with individuals who had never smoked. These findings demonstrate that carcinogen exposure impairs the development of an immunosuppressive TME and indicate a novel link between carcinogens and cancer immunogenicity.
Subject(s)
Carcinogens , Lung Neoplasms , Humans , Animals , Mice , Carcinogens/toxicity , Tumor Microenvironment , T-Lymphocytes , Lung Neoplasms/chemically induced , Lung Neoplasms/genetics , Biomarkers, Tumor/metabolism , Immunotherapy/methodsABSTRACT
OBJECTIVES: The aim of this study is to propose a deep learning-based model using craniofacial photographs for automatic obstructive sleep apnea (OSA) detection and to perform design explainability tests to investigate important craniofacial regions as well as the reliability of the method. METHODS: Five hundred and thirty participants with suspected OSA are subjected to polysomnography. Front and profile craniofacial photographs are captured and randomly segregated into training, validation, and test sets for model development and evaluation. Photographic occlusion tests and visual observations are performed to determine regions at risk of OSA. The number of positive regions in each participant is identified and their associations with OSA is assessed. RESULTS: The model using craniofacial photographs alone yields an accuracy of 0.884 and an area under the receiver operating characteristic curve of 0.881 (95% confidence interval, 0.839-0.922). Using the cutoff point with the maximum sum of sensitivity and specificity, the model exhibits a sensitivity of 0.905 and a specificity of 0.941. The bilateral eyes, nose, mouth and chin, pre-auricular area, and ears contribute the most to disease detection. When photographs that increase the weights of these regions are used, the performance of the model improved. Additionally, different severities of OSA become more prevalent as the number of positive craniofacial regions increases. CONCLUSIONS: The results suggest that the deep learning-based model can extract meaningful features that are primarily concentrated in the middle and anterior regions of the face.