Objective To investigate the relationship between tooth loss and the occurrence of esophageal cancer in a natural village in Wenfeng District, Anyang City, Henan Province. Methods A prospective cohort study was conducted to observe the occurrence of tooth loss and esophageal cancer among the asymptomatic residents of the natural village for 16 years from January 2008 to July 2024. Data were analyzed by chi-square test, binary logistic regression, and restricted cubic spline. Results Among the total population of 711 cases, 136 cases were lost to follow-up and 575 cases were included in the final statistics, including 45 cases with esophageal cancer. Significant statistical difference was found between esophageal cancer patients with and without tooth loss (P<0.05). Logistic regression analysis showed that tooth loss was associated with the occurrence of esophageal cancer (OR=3.977, 95%CI: 1.543-10.255). After the adjustment for confounders, tooth loss remained significantly associated with the occurrence of esophageal cancer (OR=3.038, 95%CI: 1.035-8.914). A nonlinear dose-response relationship was observed between the number of teeth lost and the incidence of esophageal cancer. When the number of teeth lost was less than 12, the risk of esophageal cancer increased with the number of teeth lost. When more than 12 teeth were lost, the risk of esophageal cancer decreased as the number of teeth lost increased. Conclusion Tooth loss is a risk factor for the occurrence of esophageal cancer in this natural village. When the number of teeth lost is less than 12, the risk of esophageal cancer increases with the number of teeth lost.

Objective To investigatethe relationship between gastroesophageal reflux disease (GERD) symptoms and clinicopathological characteristics, p53 expression, and survival of Chinese patients with esophageal adenocarcinoma. Methods A total of 3882 patients with esophageal adenocarcinoma, 970 matched patients with esophageal squamous cell carcinoma, and 970 matched patients with gastric cardia adenocarcinoma were included to compare the incidence of GERD symptoms. Patients with esophageal adenocarcinoma were divided into two groups according to the presence and absence of GERD symptoms. The differences in clinicopathological characteristics and p53 expression between the two groups were compared by chi-square test, and the differences in survival between the two groups were compared by landmark analysis. Results The incidence of GERD symptoms increased successively in esophageal squamous cell carcinoma, esophageal adenocarcinoma, and gastric cardia adenocarcinoma. In patients with esophageal adenocarcinoma, the proportions of male, less than 65 years old, lower thoracic tumors, tumors without squamous cell carcinoma, poorly differentiation, early tumors (stage 0-I), and p53-positive tumors in the group with GERD symptoms were higher than those in the group without GERD symptoms; moreover, the long-term survival (≥15 years) was better. Conclusion GERD symptom is an important clinical sign of esophageal adenocarcinoma. It is closely related to specific clinicopathological characteristics, p53 overexpression, and good long-term prognosis.

Protein liquid-liquid phase separation (LLPS), a pivotal phenomenon intricately linked to cellular processes, is regulated by various other proteins. However, there is still a lack of high-throughput methods for screening protein regulators of LLPS in target proteins. Here, we developed a CRISPR/Cas9-based screening method to identify protein phase separation regulators by integrating bimolecular fluorescence complementation (BiFC) and fluorescence-activated cell sorting (FACS). Using this newly developed method, we screened the RNA-binding proteins that regulate PABPN1 phase separation and identified the tumor suppressor QKI as a promoter of PABPN1 phase separation. Furthermore, QKI exhibits decreased expression levels and diminished nuclear localization in colorectal cancer cells, resulting in reduced PABPN1 phase separation, which, in turn, promotes alternative polyadenylation (APA), cell proliferation, and migration in colorectal cancer.
Humans ; Colorectal Neoplasms/genetics* ; RNA-Binding Proteins/genetics* ; Poly(A)-Binding Protein I/genetics* ; CRISPR-Cas Systems ; Flow Cytometry ; Cell Proliferation ; Cell Line, Tumor ; Cell Movement

Objective:To investigate the effect of type 2 taste receptor(T2R)38 activation on ferroptosis of human airway epithelium NuLi-1 cells induced by cigarette smoke exposure,and to clarify its possible mechanism.Methods:The human airway epithelial NuLi-1 cells were divided into control group(without any treatment),cigarette smoke extract(CSE)group(treated with 5％CSE for 24 h)and CSE+T2R38 specific agonist phenylthiocarbamide(PTC)group(CSE+PTC group)(treated with 5％CSE and 1 mmol·L-1 PTC for 24 h).The expression levels of T2R38 mRNA and protein in NuLi-1 cells in various groups were determined by real-time fluorescence quantitative PCR(RT-qPCR)and Western blotting methods.The cell viabilities in various groups were determined by cell counting kit-8(CCK-8)assay.The activities of inducible nitric oxide synthase(iNOS),endothelial nitric oxide synthase(eNOS),and superoxide dismutase(SOD)in the cells in various groups were measured by kits.DAX-J2 red fluorescence probe was used to determine the levels of nitric oxide(NO)in the cells in various groups.The reactive oxygen species(ROS)levels in the cells in various groups were detected by fluorescent probe kit.The levels of malondialdehyde(MDA),Fe2+,and reduced glutathione(GSH)in the cells in various groups were determined by enzyme-linked immunosorbent assay(ELISA)method.Western blotting method was used to determine the expression levels of nuclear factor erythroid 2-related factor 2(Nrf2)and glutathione peroxidases 4(GPx4)proteins in the cells in various groups.Results:Compared with control group,the expression levels of T2R38 mRNA and protein in NuLi-1 cells in CSE group were increased(P＜0.05).Compared with control group,the viability of NuLi-1 cells in CSE group was decreased(P＜0.05),the activities of iNOS and SOD in cells in CSE group were increased(P＜0.05),the levels of NO and ROS were increased(P＜0.05),the levels of MDA and Fe2+were increased(P＜0.05),and the GSH level and the expression levels of Nrf2 and GPx4 proteins were decreased.Compared with CSE group,the viability of NuLi-1 cells in CSE+PTC group was increased(P＜0.05),the activity of SOD and the GSH level in the cells were increased(P＜0.05),the activity of iNOS in cells was decreased(P＜0.05),the levels of NO and ROS in cells were decreased(P＜0.05),the levels of MDA and Fe2+were decreased(P＜0.05),and the expression levels of Nrf2 and GPx4 proteins were increased(P＜0.05).There was no significant difference in eNOS activity among control group,CSE group,and CSE+PTC group(P＞0.05).Conclusion:Activation of bitter taste receptor T2R38 can inhibit ferroptosis in human airway epithelium NuLi-1 cells induced by cigarette smoke exposure,and its mechanism may be related to the reduction of iNOS activity in the cells.

Although stage Ⅰ non-small cell lung cancer(NSCLC)is a type of malignant tumor that can be cured through surgical treatment,its 5-year recurrence rate is still as high as 10%-29%,with a 5-year survival rate of 77%-93.7%.Therefore,better treat-ment strategies are urgently needed to further improve the long-term survival rate of patients with stage I NSCLC.In recent years,ma-jor breakthroughs have been made in targeted therapy and immunotherapy for locally advanced NSCLC in the perioperative period.It was believed in the past that patients with stage I NSCLC had limited benefits from adjuvant chemotherapy,but there are still controver-sies over whether stage I patients can benefit from perioperative targeted therapy and immunotherapy.Therefore,Chongqing Precision Lung Oncology Group discusses the main issues in the treatment of stage I NSCLC in the perioperative period and provides related rec-ommendations,including the selection and optimization of indications for perioperative targeting therapy or immunotherapy,the formu-lation and optimization of regimens and strategies for single therapy or combined therapy,and the optimal time of perioperative target-ing therapy or immunotherapy,so as to provide guidance for clinical practice.

Objective To investigate the effects of open reading frame 1 protein(ORF1p),encoded by long interspersed nuclear element-1(LINE-1),on the proliferation,migration,and invasion of esophageal squamous cell carcinoma(ESCC)cells,and explore the underlying molecular mechanism.Methods① Western blotting was performed to compare the expression of ORF1p between normal esophageal squamous epithelial cells and ESCC cells.② Immunohistochemistry(IHC)assay was used to examine ORF1p expression in ESCC tissues and paired normal tissues adjacent to tumor.③ The effects of ORF1p knockdown and overexpression on malignant behaviors in ESCC cells were determined through functional assays.④ Xenograft tumor model in nude mice was established to evaluate the impact of ORF1p on tumor growth in vivo.⑤ Transcriptome sequencing combined with cell functional rescue experiments were conducted to identify downstream targets regulated by ORF1p.Results ① Western blot analysis demonstrated the expression of ORF1p was significantly higher in the ESCC cell lines than the normal esophageal squamous epithelial cells(P<0.05).② IHC confirmed remarkable up-regulation of ORF1p in ESCC tissues than paired adjacent normal tissues(P<0.000 1).③ Functional assays and experiments on xenograft tumor models revealed that ORF1p substantially enhanced the proliferation,migration,and invasion of ESCC cells,as well as tumorigenic potential in vivo(P<0.05).④ Functional rescue experiments showed that ORF1p facilitated the proliferation,migration,and invasion of ESCC cells by modulating AJUBA expression(P<0.05).Conclusion ORF1p is significantly up-regulated in ESCC and promotes the proliferation,migration,and invasion of ESCC cells by regulating AJUBA expression.

Objective To develop a machine learning model integrating preoperative chest CT radiomic features with clinical data for predicting 5-year postoperative recurrence risk in stage Ⅰ non-small cell lung cancer(NSCLC)patients undergoing surgical resection.Methods A total of 217 patients with pathologically confirmed stage Ⅰ NSCLC(selected from 778 initially screened cases based on our inclusion and exclusion criteria)treated in Army Medical Center of PLA between January 2014 and December 2019 were retrospectively enrolled,including 53 recurrence cases and 164 non-recurrence cases within 5-year follow-up.They were randomly divided into a training set(n=173)and a validation set(n=44)in a ratio of 8:2.Radiomic models were established based on extracted features from tumor-dominant regions of interest(ROI)on CT images,while clinical models were developed using demographic characteristics and preoperative laboratory examinations.A combined model was further constructed by integrating both feature sets,and model performance was compared to identify the optimal predictive model.Results This study screened the features from non-contrast CT images and ultimately selected 7 radiomic features for constructing radiomic model.Among 6 machine learning algorithms,the adaptive boosting(Adaboost)model demonstrated the best overall predictive performance,with an area under the curve(AUC)of 0.866(95%CI:0.808～0.923;accuracy:0.832,specificity:0.884)in the training set and of 0.806(95%CI:0.630～0.983;accuracy:0.795,specificity:0.971)in the validation set.Univariate and multivariate logistic regression analyses identified 4 clinical features for clinical model construction.The clinical model achieved an AUC value of 0.874(95%CI:0.821～0.928;accuracy:0.827,specificity:0.891)in the training set and 0.813(95%CI:0.677～0.948;accuracy:0.636,specificity:0.600)in the validation set.By integrating the 7 radiomic features and 4 clinical features using a feature-level fusion strategy,the combined model exhibited further improved predictive performance,with an AUC value of 0.953(95%CI:0.924～0.983;accuracy:0.884,specificity:0.860)and 0.852(95%CI:0.729～0.976;accuracy:0.682,specificity:0.629),respectively in the training set and the validation set.Conclusion The combined model integrating preoperative CT radiomic features with clinical risk factors may provide an evidence-based framework for evaluating 5-year postoperative recurrence risk in stage Ⅰ NSCLC patients.

Increasing age is the most important factor for cognitive impairment.Alzheimer disease(AD)and sarcopenia are significant causes of frailty and disability in older adults.It is important to have an in-depth understanding of the relationship between sarcopenia and AD.Studies have reported that sarcopenia often disturbs the secretion of muscle factors,which may increase the risk of developing dementia.In turn,the pathological feature of dementia,such as the de-position of amyloid β-protein(Aβ),amyloid precursor protein(APP)and tau protein in peripheral neurons,may be related to a decline in muscle function.In particular,the deposition of Aβ and APP may eventually lead to movement disorders and disability.Therefore,we hypothesize that AD and sarcopenia may mutually promote each other's pathological develop-ment.This results in exacerbation of clinical and pathological damage,in which myokine and amyloid proteins play impor-tant roles.However,the interrelationship based on amyloid protein and myokine production has not been discussed in de-tail in other reviews.In this paper,we reference and discuss the studies on this topic,and review the common risk factors for sarcopenia and AD and the potential and mechanisms for mutual improvement.

The current situation of tumor radiotherapy teaching is far behind the development of radiotherapy technologies. The construction of a teaching system based on an artificial intelligence-powered automatic target delineation system and a standardized cancer radiotherapy case library is operable and practical for realizing the standardization and homogenization of clinical target volume delineation teaching, improving students' precision and speed of target volume delineation, and promoting students' learning interest, initiative, and efficiency, which can bring new vitality to the development of radiotherapy education and is worthy of further exploration and promotion.

Objective:To explore the status quo and influencing factors of self-management behavior in high-risk stroke patients, so as to provide a basis for improving their self-management behavior.Methods:From March to June 2023, convenience sampling was used to select 395 high-risk stroke patients admitted to the First Affiliated Hospital of Naval Medical University as the study subject. A survey was conducted on patients using the General Information Questionnaire, Self-management Behavior Scale for High-risk Stroke Patients, and Cerebral Apoplexy Knowledge Questionnaire. Pearson correlation was used to analyze the correlation between self-management behavior and stroke knowledge. A total of 395 questionnaires were distributed, and unqualified questionnaires (such as regular or repetitive responses, conflicting options before and after) were excluded. Finally, 387 valid questionnaires were collected, with an effective response rate of 97.97%.Results:The score of the Self-management Behavior Scale for High-risk Stroke Patients for 387 high-risk stroke patients was (137.60±25.47), with a score indicator of 62.53%, which was at a moderate level. The score of the Cerebral Apoplexy Knowledge Questionnaire was (19.26±10.19), which was at a low level. The random forest algorithm showed that the importance order of influencing factors was stroke knowledge, number of ways to obtain health information, educational level, number of risk factors, frequency of physical examinations, medical insurance, age, work situation, and gender. The Lasso regression indicated that there were four influencing factors corresponding to the minimum error. The top four factors in importance were included in multiple linear regression, and the results showed that educational level, number of risk factors, number of ways to obtain health information, and stroke knowledge were the influencing factors of self-management behavior in high-risk stroke patients ( P<0.05) . Conclusions:The self-management behavior of high-risk stroke patients was at a moderate level. Medical and nursing staff should strengthen stroke knowledge education, provide personalized education for different risk factors, and improve the self-management of the target population to reduce the incidence of stroke.