Background: Tumors, as intricate ecosystems, comprise oncocytes and the highly dynamic tumor stroma. Tumor stroma, representing the non-cancerous and non-cellular composition of the tumor microenvironment (TME), plays a crucial role in oncogenesis and progression, through its interactions with biological, chemical, and mechanical signals. This review aims to analyze the challenges of stroma mimicry models, and highlight advanced personalized co-culture approaches for recapitulating tumor stroma using patient-derived tumor organoids (PDTOs). Methods: This review synthesizes findings from recent studies on tumor stroma composition, stromal remodeling, and the spatiotemporal heterogeneities of the TME. It explores popular stroma-related models, co-culture systems integrating PDTOs with stromal elements, and advanced techniques to improve stroma mimicry. Results: Stroma remodeling, driven by stromal cells, highlights the dynamism and heterogeneity of the TME. PDTOs, derived from tumor tissues or cancer-specific stem cells, accurately mimic the tissue-specific and genetic features of primary tumors, making them valuable for drug screening. Co-culture models combining PDTOs with stromal elements effectively recreate the dynamic TME, showing promise in personalized anti-cancer therapy. Advanced co-culture techniques and flexible combinations enhance the precision of tumor-stroma recapitulation. Conclusions: PDTO-based co-culture systems offer a promising platform for stroma mimicry and personalized anti-cancer therapy development. This review underscores the importance of refining these models to advance precision medicine and improve therapeutic outcomes.

Background Velopharyngeal insufficiency (VPI) is common in patients with a repaired cleft palate. 18% to 20% of patients who undergo superiorly based pharyngeal flap for VPI may require a revision procedure due to persistent hypernasality.Solution One solution to persistent VPI is flap revision, but there is a paucity of revision techniques described in the literature.What We Do We present a novel technique for pharyngeal flap revision utilizing a V-to-Y procedure to tighten the lateral pharyngeal ports.

Periodontitis is a highly prevalent disease characterized by inflammation and destruction of tooth-supporting tissues that leads to tooth loss in extreme situations. Elucidating the underlying mechanisms of periodontitis pathogenesis and progression will establish the groundwork for developing effective treatment strategies. Recently, evidence concerning the role of ferroptosis in periodontitis progression has emerged. Osteogenic lineage cells are key regulators of bone remodeling. Osteogenic cell death, as observed in experimental periodontitis models, disrupts the balance between bone resorption and bone formation. However, whether the osteogenic lineage undergoes ferroptosis during periodontitis and the corresponding effect on periodontitis progression remain elusive. Here, we investigated cell-specific ferroptosis within the alveolar bone in a murine periodontitis model. Through immunofluorescence double staining and immunohistochemistry, we identified ferroptotic osteocytes and osteoblasts in inflammatory alveolar bone. Next, in vivo administration of erastin or liproxstatin-1 was conducted to either induce or inhibit ferroptosis, respectively. Severe bone resorption and inflammation, accompanied by increased osteoclast formation and impaired osteogenic potential were detected following ferroptosis activation. Subsequently, we carried out in vitro experiments on osteocytes and further verified that ferroptosis enhanced the osteocytic expression of RANKL and IL-6. These findings suggest that ferroptosis occurring within the osteogenic lineage acts as a catalyst in the progression of periodontitis by stimulating osteoclastogenesis through the secretion of inflammatory cytokines and inhibiting osteoblastic function, providing insights into ferroptosis-induced alterations in microenvironment-based intercellular communication. Ferroptosis is a promising target for controlling inflammation and preventing bone resorption in periodontitis.

OBJECTIVE:The purpose of this study was to identify factors associated with the management of the cleft dental gap after alveolar bone grafting. METHODS:This was a retrospective cohort study of patients with unilateral cleft lip and alveolus or palate who had successful alveolar bone grafting. Our primary study outcome was alveolar cleft management (orthodontic closure or space maintenance). Our secondary study outcome was the rate of fixed dental rehabilitation. Univariate comparisons were made with SAS 9.4. RESULTS:The final study sample consisted of 54 patients. Most patients were treated with orthodontic closure (55.6%). Patients missing multiple teeth ( P < 0.01) were less likely to receive orthodontic closure. Orthodontic closure was not associated with differences in intermaxillary midline coincidence ( P = 0.22) or the need for LeFort advancement ( P = 0.15). Only 41.7% of patients who were managed with space maintenance obtained a fixed prosthesis. Hispanic ethnicity ( P < 0.01) and Medicaid insurance ( P < 0.01) were associated with lower rates of fixed dental rehabilitation. CONCLUSIONS:Orthodontic closure was the most common approach, and it did not result in significant maxillary midline distortion. Less than half of patients treated with space maintenance obtained fixed restorations. Socioeconomic barriers are likely preventing access to definitive dental rehabilitation in patients with unilateral cleft lip and alveolus or palate.

Objectives To develop a model that can assist in the diagnosis and prediction of prognosis for head and neck squamous cell carcinoma (HNSCC). Materials and methods Data from TCGA and GEO databases were used to generate normalized gene expression data. Consensus Cluster Plus was used for cluster analysis and the relationship between angiogenesis-associated gene (AAG) expression patterns, clinical characteristics and survival was examined. Support vector machine (SVM) and least absolute shrinkage and selection operator (LASSO) analyzes and multiple logistic regression analyzes were performed to determine the diagnostic model, and a prognostic nomogram was constructed using univariate and multivariate Cox regression analyses. ESTIMATE, XCELL, TIMER, QUANTISEQ, MCPCOUNTER, EPIC, CIBERSORT-ABS, CIBERSORT algorithms were used to assess the immune microenvironment of HNSCC patients. In addition, gene set enrichment analysis, treatment sensitivity analysis, and AAGs mutation studies were performed. Finally, we also performed immunohistochemistry (IHC) staining in the tissue samples. Results We classified HNSCC patients into subtypes based on differences in AAG expression from TCGA and GEO databases. There are differences in clinical features, TME, and immune-related gene expression between two subgroups. We constructed a HNSCC diagnostic model based on nine AAGs, which has good sensitivity and specificity. After further screening, we constructed a prognostic risk signature for HNSCC based on six AAGs. The constructed risk score had a good independent prognostic significance, and it was further constructed into a prognostic nomogram together with age and stage. Different prognostic risk groups have differences in immune microenvironment, drug sensitivity, gene enrichment and gene mutation. Conclusion We have constructed a diagnostic and prognostic model for HNSCC based on AAG, which has good performance. The constructed prognostic risk score is closely related to tumor immune microenvironment and immunotherapy response.

With the improvement of diagnostic techniques, numerous uncommon metastases derived from breast cancer were reported. However, very few studies explored the clinical characteristics and prognostic patterns of these patients. A total of 82 cases of uncommon metastatic breast cancer (MBC) registered at our hospital from January 1, 2010, to July 1, 2022, were selected for this retrospective study. The diagnoses of uncommon metastases were based on pathology, and the potential prognostic indicators (overall survival [OS], uncommon disease-free interval [uDFI], and remaining survival [RS]) were estimated. The uncommon metastases involved distant soft tissue, parotid gland, thyroid, digestive system, urinary system, reproductive system, bone marrow, and pericardium. Stepwise multivariate Cox regression analysis indicates age ≤ 35 is an independent risk factor of poor outcome of OS, uDFI, and RS in uncommon MBC patients. Meanwhile, uncommon metastasis combined with common visceral metastasis is an independent risk factor for poor RS of uncommon MBC patients, with a hazard ratio of 6.625 (95% confidence interval = 1.490-29.455, P = .013). Post hoc pairwise comparisons showed that uncommon MBC patients who developed bone-only metastasis survived longer than those concomitant with common visceral metastasis (P = .029). Although the incidence is low, uncommon MBC may involve multiple metastatic sites. The delayed diagnosis of uncommon metastases could lead to systemic progression of the disease. However, patients who only develop uncommon metastasis have a significantly better prognosis than that of those combined with common visceral metastasis. Even for those complicated by bone-only metastasis, active treatment of bone metastases can still achieve substantially longer survival.

ObjectivesThe aim of this study was to investigate the association between diabetes status and the risk of breast cancer among adult Americans, exploring the impact of BMI, age, and race on this relationship. MethodsA cross-sectional analysis of 8,249 individuals from the National Health and Nutrition Examination Survey (NHANES) was conducted. Diabetes was categorized as type 2 diabetes and prediabetes, with both conditions diagnosed according to the ADA 2014 guidelines. The association between diabetes status and breast cancer risk was explored using multiple logistic regression analysis. ResultsPatients with diabetes had higher odds of breast cancer (OR: 1.51; 95% CI 1.00 to 2.28), Using the two-piecewise linear regression model, it was observed that there is a threshold effect in the risk of breast cancer occurrence at the age of 52 years. Specifically, the risk of breast cancer is relatively low before the age of 52 but increases significantly after this age. ConclusionsThis study identified a significant association between diabetes status and breast cancer risk among adult Americans. We also found a threshold effect in breast cancer occurrence at the age of 52. Age was significantly associated with breast cancer risk in both Non-Hispanic White and Non-Hispanic Black individuals. These findings underscore the importance of diabetes management, maintaining a healthy BMI, and age-related risk considerations in reducing breast cancer risk.

Background: Participation in colonoscopies is an essential aspect of endoscopic training. The purpose of this study was to explore the impact of fellow/trainee participation on colonoscopy outcomes.Methods: This meta-analysis was registered on the International Prospective Register of Systematic Reviews (PROSPERO). From database inception to July 2022, studies investigating fellow involvement and colonoscopy outcomes were searched across Cochrane library, PubMed, and other databases. The random-effects model was applied to generate more conservative estimates. Sensitive analysis was conducted to explore whether the result would depend on a particular study. Egger's test and Begg's test were used to estimate the potential for publication bias.Results: Seventeen studies including 30,062 participants were included. We found that fellow/trainee involvement enhanced the overall rates of adenoma detection and polyp detection (OR = 1.26, 95% CI = 1.14-1.40, p < 0.001; OR = 1.29, 95% CI = 1.02-1.63, p = 0.020, respectively). The mean number of adenoma/polyps per colonoscopy was also higher with fellow/trainee participation (MD = 0.12, 95% CI = 0.08-0.17, p < 0.001; MD = 0.15, 95% CI = 0.02-0.28, p = 0.020, respectively).Conclusion: In addition to its educational purpose, fellow or trainee involvement is associated with beneficial effects on colonoscopy outcomes.

Abstract Background: A larger proportion of people with severe cases of Coronavirus Disease 2019 (COVID-19) appears to have comorbidities compared to the general population. However, evidence regarding the roles of periodontal disease(PD), in context of Coronavirus Disease 2019(COVID-19), is limited. Thus, to explore the association between PD and COVID-19, this systematic review and meta analysis was conducted. Methods: 7 online databases were searched by January 31, 2023. Heterogeneity was tested by I2 index. OR and 95% CI were pooled through either random-effect or fixed-effect models. Subgroup analyses, sensitivity analyses, and publication bias assessments were also conducted. Results: Of the 823 articles identified and reviewed, 11 articles with 16,708 subjects met inclusion criteria and were included. PD was found to be associated with a statistically significant increase in risk of progression to severe diseases for COVID-19 patients(OR=2.20, 95% CI=1.38-3.49). Further analysis suggested that PD was associated with assisted ventilation(OR=5.01, 95% CI:2.61-9.63), ICU admission(OR=1.61, 95% CI:1.24-2.09), pneumonia(OR=5.19, 95% CI:1.17-23.00), and death(OR=2.25, 95% CI:1.55-3.28) for COVID-19 cases. Conclusions: Our results show that individuals with PD have an increased risk for ICU admission, assisted mechanical ventilation therapy, and a significantly increased risk of pneumonia and death. This suggests, to some extent, that the oral cavity is the gateway to COVID-19 infection; in other words, periodontitis is a risk factor for COVID-19 severity.

The association between sugar-sweetened beverages intake and colorectal cancer (CRC) remains controversial. A metaanalysis was performed to clarify the correlation between sugar-sweetened beverages and CRC risk/mortality. A systematic literature search was conducted in PubMed, Web of Science, Embase, China National Knowledge Infrastructure (CNKI), Sinomed (CBM), Wanfang Data Knowledge Service Platform, and China Science and Technology Journal VIP database. Articles were restricted to be available in any language until March 31, 2022. The highest exposed categories were used to calculate the pooled relative risks (RR) values. Pooled relative risks (RR) and 95% confidence intervals (CI) were used to estimate the association of sugar-sweetened beverages with CRC risk and mortality. Heterogeneity was assessed with the Cochran Q statistic and quantified with the I2 statistic. A total of 17 studies (6 case-control and 11 cohort) involving 557,391 subjects were included in this meta-analysis. The pooled RRs for CRC incidence and mortality among people taking sugar-sweetened beverages were 1.17 (95% CI: 1.07-1.28) and 1.13 (95% CI: 0.99-1.29), respectively. In subgroup analysis, a correlation was found in the distal colon with a pooled RR of 1.41 (95% CI: 1.10-1.80). There was no correlation in the proximal colon with a pooled RR of 1.58 (95% CI: 0.79-3.17). We found statistically significant associations between CRC incidence and sugar-sweetened beverages intake in North America and Oceania, with pooled RRs of 1.16 (95% CI: 1.00-1.33) and 1.32 (95% CI: 1.13-1.55), respectively. In sensitivity analysis, after excluding each study and calculating heterogeneity and effect sizes, there was still a correlation between sugar-sweetened beverages intake and CRC risk. This meta-analysis suggests that sugar-sweetened beverages intake may increase CRC risk, independent of CRC mortality. Whether CRC risk increases with increased sugar-sweetened beverage intake needs further investigation in the future. This meta-analysis aimed to indicate the relationship between sugar-sweetened beverages intake and the risk and mortality of colorectal cancer. A total of 17 studies involving 557,391 subjects were included. The results showed that sugar-sweetened beverages may increase the risk of colorectal cancer but may not be associated with colorectal cancer mortality.

We present the case of a 66-year-old man with no abdominal symptoms other than chronic refractory diarrhea. Other causes for diarrhea were excluded. The positive results of anti-SSA antibodies, Schirmer’s test, and the biopsy of minor salivary glands confirmed the diagnosis of Sjogren’s syndrome. Moreover, during the course of treatment, the patient developed refeeding syndrome. His diarrhea and nutrition resolved with initiation of glucocorticoids. This case highlights that chronic refractory diarrhea can be the chief complaint and most severe symptom in patients with Sjogren’s syndrome.

Developmental defects of enamel are common due to genetic and environmental factors before and after birth. Cdc42, a Rho family small GTPase, regulates prenatal tooth development in mice. However, its role in postnatal tooth development, especially enamel formation, remains elusive. Here, we investigated Cdc42 functions in mouse enamel development and tooth repair after birth. Cdc42 showed highly dynamic temporospatial patterns in the developing incisors, with robust expression in ameloblast and odontoblast layers. Strikingly, epithelium-specific Cdc42 deletion resulted in enamel defects in incisors. Ameloblast differentiation was inhibited, and hypomineralization of enamel was observed upon epithelial Cdc42 deletion. Proteomic analysis showed that abnormal mitochondrial components, phosphotransferase activity, and ion channel regulator activity occurred in the Cdc42 mutant dental epithelium. Reactive oxygen species accumulation was detected in the mutant mice, suggesting that abnormal oxidative stress occurred after Cdc42 depletion. Moreover, Cdc42 mutant mice showed delayed tooth repair and generated less calcified enamel. Mitochondrial dysfunction and abnormal oxygen consumption were evidenced by reduced Apool and Timm8a1 expression, increased Atp5j2 levels, and reactive oxygen species overproduction in the mutant repair epithelium. Epithelium-specific Cdc42 deletion attenuated ERK1/2 signaling in the labial cervical loop. Aberrant Sox2 expression in the mutant labial cervical loop after clipping might lead to delayed tooth repair. These findings suggested that mitochondrial dysfunction, up-regulated oxidative stress, and abnormal ion channel activity may be among multiple factors responsible for the observed enamel defects in Cdc42 mutant incisors. Overall, Cdc42 exerts multidimensional and pivotal roles in enamel development and is particularly required for ameloblast differentiation and enamel matrix formation.

Background and purposeRecurrent stroke accounts for 25–30% of all preventable strokes, and this study was conducted to establish a machine learning-based clinical predictive rice idol for predicting stroke recurrence within 1 year in patients with acute ischemic stroke (AIS).MethodsA total of 645 AIS patients at The Second Affiliated Hospital of Xuzhou Medical University were screened, included and followed up for 1 year for comprehensive clinical data. Univariate and multivariate logistic regression (LR) were used to screen the risk factors of stroke recurrence. The data set was randomly divided into training set and test set according to the ratio of 7:3, and the following six prediction models were established by machine algorithm: random forest (RF), Naive Bayes model (NBC), decision tree (DT), extreme gradient boosting (XGB), gradient boosting machine (GBM) and LR. The model with the strongest prediction performance was selected by 10-fold cross-validation and receiver operating characteristic (ROC) curves, and the models were investigated for interpretability by SHAP. Finally, the models were constructed to be visualized using a web calculator.ResultsLogistic regression analysis showed that right hemisphere, homocysteine (HCY), C-reactive protein (CRP), and stroke severity (SS) were independent risk factors for the development of stroke recurrence in AIS patients. In 10-fold cross-validation, area under curve (AUC) ranked from 0.777 to 0.959. In ROC curve analysis, AUC ranged from 0.887 to 0.946. RF model has the best ability to predict stroke recurrence, and HCY has the largest contribution to the model. A web-based calculator https://mlmedicine-re-stroke2-re-stroke2-baylee.streamlitapp.com/ has been developed accordingly.ConclusionThis study identified four independent risk factors affecting recurrence within 1 year in stroke patients, and the constructed RF-based prediction model had good performance.

Recently, since the optimization of COVID-19 control policies in China, a higher proportion of COVID-19 patients who presented with more severe symptoms has been observed in our tertiary care academic hospital in a provincial capital city in China. While drastically increased viral load in the environment due to significantly higher number of patients overall was speculated to cause possible higher inoculum dose, this again raises the question of whether the inoculum dose may be a contributing factor to disease severityPrevious studies suggest a possible link between viral inoculum dose and the severity of COVID-19, although further research is needed to confirm these findings and to understand the mechanisms by which a higher inoculum viral load may lead to more severe disease. In the meanwhile, nonpharmaceutical preventive measures, such as mask-wearing, social distancing, handwashing, and improved ventilation, are still critical to not only reduce transmission but also to possibly decrease the disease severity. This article is protected by copyright. All rights reserved.

Over the past two years, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused hundreds of millions of infections, resulting in an unprecedented pandemic of coronavirus disease 2019 (COVID-19). As the virus spreads through the population, ongoing mutations and adaptations are being discovered. There is now substantial clinical evidence that demonstrates the SARS-CoV-2 variants have stronger transmissibility and higher virulence compared to the wild-type strain of SARS-CoV-2. Hence, development of vaccines against SARS-CoV-2 variants to boost individual immunity has become essential. However, current treatment options are limited for COVID-19 caused by the SARS-CoV-2 variants. In this review, we describe current distribution, variation, biology, and clinical features of COVID-19 caused by SARS-CoV-2 variants (including Alpha (B.1.1.7 Lineage) variant, Beta (B.1.351 Lineage) variant, Gamma (P.1 Lineage) variant, Delta (B.1.617.2 Lineage) variant, and Omicron (B.1.1.529 Lineage) variant and others. In addition, we review currently employed vaccines in clinical or preclinical phases as well as potential targeted therapies in an attempt to provide better preventive and treatment strategies for COVID-19 caused by different SARS-CoV-2 variants.

Abstract Objectives: The purpose of this study was to determine whether breast cancer and diabetes status are related in adult Americans. Methods: We conducted a cross-sectional study of 7,599 individuals from the National Health and Nutrition Examination Survey (NHANES). Diabetes was classified as type 2 diabetes and pre-diabetes. Both prediabetes and diabetes were diagnosed according to ADA 2014 guidelines. Multiple logistic regression analysis was used to explore the relationship between diabetes status and breast cancer. Results: We found that prediabetes (OR = 0. 60, 95% CI:(0. 40, 0. 88), P= 0. 009613) and non-diabetes (OR = 0.05.3,95% CI: (0.34, 0.83), P = 0. 006014) were associated with a reduced risk of breast cancer in comparison to Type 2 diabetes (literature). Prediabetes in non-Hispanic blacks was associated with a reduced risk of breast cancer (OR=0. 55,95%CI:0. 40-0. 75, P&lt;0. 001). Using two segmented linear regression models to fit the relationship between BMI and breast cancer, we found that the relationship between BMI and breast cancer was nonlinear, but there was a threshold effect. The threshold effect analysis found that BMI affcted breast cancer at an inflection point 26. 3 Kg/m2. Adjusted OR (95% CI) on both sides of the turning point was 1. 0799 ( 1. 0029, 1. 1629 ) and 0. 9873 ( 0. 9638, 1. 0115 ), respectively. Conclusions: Diabetes status is associated with the risk of breast cancer development. Moreover, the risk of developing breast cancer steadily increased from nondiabetes to prediabetes and type 2 diabetes. In addition, the prevalence of breast cancer showed a gradual increase withincreasing BMI up to 26. 3 Kg/m2 with the highest prevalence of breast cancer. There was an inverse U-shaped relationship between BMI and the breast cancer prevalence.

Recently, a growing number of epidemiological studies have examined the relationship between household air pollution (HAP) and all-cause and cause-specific mortality. While the results were not entirely consistent, the current study followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) protocol to conduct a comprehensive review and meta-analysis. Data sources were PubMed, Web of Science, Embase, and Cochrane Library for studies published up to 12 May 2022. The pooled relative risks (RRs) with 95