Objective To explore the impact of number of positive regional lymph nodes (nPRLN) in N1 stage on the prognosis of non-small cell lung cancer (NSCLC) patients. Methods Patients with TxN1M0 stage NSCLC who underwent lobectomy and mediastinal lymph node dissection from 2010 to 2015 were screened from SEER database (17 Regs, 2022nov sub). The optimal cutoff value of nPRLN was determined using X-tile software, and patients were divided into 2 groups according to the cutoff value: a nPRLN≤optimal cutoff group and a nPRLN>optimal cutoff group. The influence of confounding factors was minimized by propensity score matching (PSM) at a ratio of 1 : 1. Kaplan-Meier curves and Cox proportional hazards models were used to evaluate overall survival (OS) and lung cancer-specific survival (LCSS) of patients. Results A total of 1316 patients with TxN1M0 stage NSCLC were included, including 662 males and 654 females, with a median age of 67 (60, 73) years. The optimal cutoff value of nPRLN was 3, with 1165 patients in the nPRLN≤3 group and 151 patients in the nPRLN>3 group. After PSM, there were 138 patients in each group. Regardless of before or after PSM, OS and LCSS of patients in the nPRLN≤3 group were superior to those in the nPRLN>3 group (P<0.001). N1 stage nPRLN>3 was an independent prognostic risk factor for OS [HR=1.52, 95%CI (1.22, 1.89), P<0.001] and LCSS [HR=1.72, 95%CI (1.36, 2.18), P<0.001]. Conclusion N1 stage nPRLN>3 is an independent prognostic risk factor for NSCLC patients in TxN1M0 stage, which may provide new evidence for future revision of TNM staging N1 stage subclassification.

Objective: To explore the association between negative life events and smartphone addiction among middle school students, so as to provide theoretical support and practical guidance for prevention and intervention of smartphone addiction among middle school students. Methods: Using cluster sampling, 8 890 students were selected to survey from 27 junior high schools and 3 senior high schools in a district of Shenzhen in 2022 (baseline) and 2023 (followup). Data were collected through selfresigned questionnaires on basic information, the Smartphone Addiction Scale-Short Version, and the Adolescent Selfrating Life Events Checklist. Mixedeffects models were employed to analyze the association. Results: Compared to 2022, the punishment scores of middle school students in 2023 [1.00 (0.00, 6.00) and 1.00 (0.00, 6.00)] decreased (Z=4.27), while the scores of interpersonal stress, learning stress and adaptation [4.00(0.00, 8.00), 4.00(0.00, 8.00); 4.00(1.00, 8.00), 5.00(2.00, 9.00); 2.00 (0.00, 6.00), 3.00 (0.00, 7.00)] increased (Z=-3.04, -8.36, -6.80) (P<0.01). Mixedeffects models revealed a positive doseresponse relationship between negative life events and smartphone addiction (OR=1.08-1.17, P<0.01). Stepwise regression showed independent positive effects of interpersonal stress (OR=1.05), academic stress (OR=1.03), and adaptation stress (OR=1.11) on smartphone addiction (P<0.01). Subgroup analysis of nonaddicted students in 2022 confirmed persistent associations for academic stress (OR=1.03) and adaptation (OR=1.07) (P<0.01). Conclusion Negative life events exhibit a positive doseresponse relationship with smartphone addiction, particularly interpersonal stress, academic stress, and adaptationrelated events.

Objective: To explore the potential causal association between adolescent compulsive behaviour and smartphone addiction based on longitudinal data, so as to provide reference for the establishment of adolescent smartphone addiction interventions. Methods: A preliminary survey and follow-up were conducted on 8 907 middle and high school students in a district of Shenzhen in 2022 and 2023, respectively. Compulsive behaviours were measured by using the Mental Health Inventory for Middle School Students-60 Items (MMHI-60), smartphone addiction was assessed by using the Smartphone Addiction Scale-Short Version ( SAS- SV), and the associations between compulsive behaviours and smartphone addiction were analysed by using multilevel mixed-effects models and subgroup analyses. Results: Smartphone addiction detection rates among middle school students were significantly associated with genders, father s education level, mother s education level, study load subgroups, and whether or not they were single-parent families, and there were statistical differences ( χ 2=17.21-175.34, P <0.05). Students with compulsive behaviours were 2.98 times more likely to develop smartphone addiction than those without compulsive behaviours ( OR=2.98, 95%CI=2.77-3.22, P <0.05). Subgroup analysis of middle school students without smartphone addiction in the first year found that compulsive behaviours significantly predicted smartphone addiction ( OR= 1.76 , 95%CI=1.54-2.01, P <0.05). Conclusion There is a potential causal association between obsessive-compulsive behaviours and smartphone addiction in middle school students, and obsessive-compulsive behaviours in middle school students could significantly predicted the occurrence of smartphone addiction.

Objective:To explore the interaction of IL-2,IL-6 factors and intestinal flora disorder in patients with rheumatoid arthritis complicated with interstitial lung disease(RA-ILD).Methods:A total of 100 RA patients diagnosed at Shijiazhuang People's Hospital from June 2021 to June 2022 were enrolled and divided into the RA-ILD group(with ILD,n=27)and RA-noILD group(with-out ILD,n=73)according to the results of pulmonary CT and clinical manifestations.Fecal samples were collected from all partici-pants,and intestinal flora levels were cultured and analyzed.Bacterial DNA was extracted from fecal samples,and the 16S rDNA gene was amplified by PCR to generate DGGE profiles of gut microbiota.The Shannon-Wiener index,evenness,and richness of intestinal bacteria were calculated.Cluster analysis was performed to compare structural differences in gut microbiota between the groups.Demo-graphic characteristics,clinical symptoms,laboratory parameters,and intestinal flora-related indicators were compared between the groups.Multivariate Logistic regression analysis was conducted to identify independent risk factors for ILD development in RA pa-tients.Spearman correlation analysis was used to evaluate relationships between serum IL-2,IL-6 levels and gut microbiota parame-ters.Cox proportional hazards regression analysis was performed to determine independent factors influencing disease progression in RA-ILD patients.Results:Smoking,age≥53.77 years old,anti-CCP antibody≥334.60 RU/ml,IL-6≥199.47 ng/ml,IL-2<3.10 ng/ml,richness<18.39,Shannon-Wiener index<2.88,Bifidobacterium<7.27 CFU/g,Bacteroides fragilis<7.75 CFU/g,Hmax<3.14 and flora uniformity<0.92 were independent factors affecting the occurrence of ILD in patients with RA.In patients with RA-ILD,serum IL-6 level was negatively correlated with richness,Shannon-Wiener index,Hmax and flora evenness,while serum IL-2 level was positively correlated with richness,Shannon-Wiener index,Hmax and flora evenness.Smoking,age,anti-CCP antibody,IL-6,IL-2,richness,Shannon-Wiener index,Bifidobacterium,Bacteroides fragilis,Hmax and flora uniformity were independent factors affecting the outcome of RA-ILD patients(P<0.05).Conclusion:Smoking,age,anti-CCP antibody,IL-6,IL-2,richness,Shannon-Wiener index,Bifido-bacterium,Bacteroides fragilis,Hmax and flora uniformity have significant diagnostic and prognostic value for RA-ILD.The changes of intestinal microbial community in patients with RA-ILD and the changes in the number and structure of intestinal bacteria may be one of the important factors of RA patients complicated with ILD.

Objective To observe the value of right ventricular free wall longitudinal strain(RVFWLS)to pulmonary artery systolic pressure(PASP)ratio(RVFWLS/PASP)for evaluating systolic function of right ventricle(RV)in patients with hypertrophic cardiomyopathy(HCM).Methods Fifty-two HCM patients were retrospectively collected and divided into group A(RVFWLS/PASP≤0.75,n=26)and B(RVFWLS/PASP＞0.75,n=26)according to median RVFWLS/PASP.Meanwhile,26 healthy individuals were included as control group.Parameters of echocardiography and speckle tracking imaging(STI)were obtained and compared among 3 groups.The correlations of RVFWLS/PASP and other parameters were analyzed with linear regression.Results In group A and B,left ventricular ejection fraction(LVEF),RV septal longitudinal strain(RVSepLS),RVFWLS,RV end-diastolic volume index(RVEDVi),RV stroke volume(RVSV),RV fractional area change(RVFAC)and left ventricular global longitudinal strain(LVGLS)were all lower,while the ratio of peak E blood flow velocity at mitral orifice diastole to early mitral intervalal annulus diastole velocity(E/e′)were higher than those in control group(all adjusted P＜0.05).Compared with group B and control group,group A had higher PASP but lower RV ejection fraction(RVEF)(all adjusted P＜0.05).Furthermore,RVFWLS and LVGLS were both lower in group A than in group B(both adjusted P＜0.05).Linear regression analysis showed that RVSepLS and RVEF were independently linearly related to RVFWLS/PASP(both P＜0.05).Conclusion RVFWLS/PASP could be used to monitor changes of RV systoic function in HCM patients at early stage.

Objective:To explore the interaction of IL-2,IL-6 factors and intestinal flora disorder in patients with rheumatoid arthritis complicated with interstitial lung disease(RA-ILD).Methods:A total of 100 RA patients diagnosed at Shijiazhuang People's Hospital from June 2021 to June 2022 were enrolled and divided into the RA-ILD group(with ILD,n=27)and RA-noILD group(with-out ILD,n=73)according to the results of pulmonary CT and clinical manifestations.Fecal samples were collected from all partici-pants,and intestinal flora levels were cultured and analyzed.Bacterial DNA was extracted from fecal samples,and the 16S rDNA gene was amplified by PCR to generate DGGE profiles of gut microbiota.The Shannon-Wiener index,evenness,and richness of intestinal bacteria were calculated.Cluster analysis was performed to compare structural differences in gut microbiota between the groups.Demo-graphic characteristics,clinical symptoms,laboratory parameters,and intestinal flora-related indicators were compared between the groups.Multivariate Logistic regression analysis was conducted to identify independent risk factors for ILD development in RA pa-tients.Spearman correlation analysis was used to evaluate relationships between serum IL-2,IL-6 levels and gut microbiota parame-ters.Cox proportional hazards regression analysis was performed to determine independent factors influencing disease progression in RA-ILD patients.Results:Smoking,age≥53.77 years old,anti-CCP antibody≥334.60 RU/ml,IL-6≥199.47 ng/ml,IL-2<3.10 ng/ml,richness<18.39,Shannon-Wiener index<2.88,Bifidobacterium<7.27 CFU/g,Bacteroides fragilis<7.75 CFU/g,Hmax<3.14 and flora uniformity<0.92 were independent factors affecting the occurrence of ILD in patients with RA.In patients with RA-ILD,serum IL-6 level was negatively correlated with richness,Shannon-Wiener index,Hmax and flora evenness,while serum IL-2 level was positively correlated with richness,Shannon-Wiener index,Hmax and flora evenness.Smoking,age,anti-CCP antibody,IL-6,IL-2,richness,Shannon-Wiener index,Bifidobacterium,Bacteroides fragilis,Hmax and flora uniformity were independent factors affecting the outcome of RA-ILD patients(P<0.05).Conclusion:Smoking,age,anti-CCP antibody,IL-6,IL-2,richness,Shannon-Wiener index,Bifido-bacterium,Bacteroides fragilis,Hmax and flora uniformity have significant diagnostic and prognostic value for RA-ILD.The changes of intestinal microbial community in patients with RA-ILD and the changes in the number and structure of intestinal bacteria may be one of the important factors of RA patients complicated with ILD.

Objective To establish an individualized nomogram model and evaluate its efficacy to provide a possible evaluation basis for the prognosis of lower third and abdominal part of oesophageal adenocarcinoma (EAC). Methods Lower third and abdominal part of EAC patients from 2010 to 2015 were chosen from the SEER Research Plus Database (17 Regs, 2022nov sub). The patients were randomly allocated to the training cohort and the internal validation cohort with a ratio of 7∶3 using bootstrap resampling. The Cox proportional hazards regression analysis was used to determine significant contributors to overall survival (OS) in EAC patients, which would be elected to construct the nomogram prediction model. C-index, calibration curve and receiver operating characteristic (ROC) curve were performed to evaluate its efficacy. Finally, the efficacy to evaluate the OS of EAC patients was compared between the nomogram prediction model and TNM staging system. Results In total, 3945 patients with lower third and abdominal part of EAC were enrolled, including 3475 males and 470 females with a median age of 65 (57-72) years. The 2761 patients were allocated to the training cohort and the remaining 1184 patients to the internal validation cohort. In the training and the internal validation cohorts, the C-index of the nomogram model was 0.705 and 0.713, respectively. Meanwhile, the calibration curve also suggested that the nomogram model had a strong capability of predicting 1-, 3-, and 5-year OS rates of EAC patients. The nomogram also had a higher efficacy than the TNM staging system in predicting 1-, 3-, and 5-year OS rates of EAC patients. Conclusion This nomogram prediction model has a high efficiency for predicting OS in the patients with lower third and abdominal part of EAC, which is higher than that of the current TNM staging system.

Objective:To develop a tool package that meets the routine statistical analysis requirements of population-based cancer registries in China based on R language, with the aim of improving data quality and efficiency, and promoting the nationwide scientific utilization of cancer registry data.Methods:The functional demands for statistical analysis of population-based cancer registry staff were collected through questionnaires or face-to-face interviews. Based on the concept of generic functions in R software's S3 object system, functions were developed by defining specific S3 classes for different data types, allowing the same function to perform diverse tasks depending on the class of input data. A stepwise development strategy was adopted to ensure logical coherence among functional modules, and all functions were systematically tested and validated in accordance with standard R package development guidelines.Results:Six categories of functions, including data reading, data manipulation, data processing, statistical calculation, visualization, and statistical reporting, were developed to support routine statistical analysis of population-based cancer registry data. Data reading functions support reading data formats required by the National Cancer Registry. Data manipulation functions empower conditional filtering of registry data and support regrouping, merging, or transforming the data based on registry attributes (such as urban/rural location) to accommodate different analytical needs. Data processing functions includes age grouping, International Classification of Diseases 10 th Revision (ICD-10) classification, childhood cancer classification, and population estimation. Statistical calculation functions permit the calculation of age-standardized rates, truncated rates, cumulative rates, cumulative risks, life tables, and expansion from abridged to complete life tables. Visualization functions can generate commonly used statistical charts, including population pyramids, bar charts, and line graphs. Statistical reporting functions can integrate key indicators, charts, and narrative descriptions into comprehensive cancer registry reports. Conclusion:An R package named Canregtools was developed based on the concept of S3 generic functions. This package is free of charge, open-source, and highly efficient. It can meet the diversified needs in cancer registry data analysis, visualization, and reporting through standardized data processing workflows, thereby enhancing the quality and efficiency of routine statistical analysis in population-based cancer registries in China.

Objective To explore the economic toxicity perceptions and experiences of caregivers of colorectal cancer patients from the perspective of social ecological systems theory.Methods Using purposive sampling,18 caregivers of colorectal cancer patients hospitalized in the gastrointestinal sur-gery and oncology departments of a tertiary grade A hospital in Yangzhou were selected for semi-struc-tured interviews.The Colaizzi 7-step analysis method was employed to organize and analyze the data.Results Three main themes and nine sub-themes were extracted regarding the economic toxicity expe-riences and needs of caregivers of colorectal cancer patients.Microsystem included multiple negative experiences,impacted individual health,and difficulties in surrogate decision-making;mesosystem in-cluded heavy family financial burden,altered family lifestyle,and tense family atmosphere;macrosys-tem included needs for the scope and intensity of medical insurance reimbursement,needs for medical resources and services,and a desire for social support.Conclusion The ecological system of caregiv-ers of colorectal cancer patients is not optimistic,and is generally affected by economic toxicity.Inter-vention strategies can be sought from multiple aspects,including alleviating the negative experiences of caregivers,strengthening social support,and paying attention to the needs of caregivers,aiming to re-duce the level of economic toxicity among caregivers of colorectal cancer patients.

OBJECTIVE: Benzylisoquinoline alkaloids (BIAs) have pharmacological functions and clinical use. BIAs are mainly distributed in plant species across the order Ranunculales and the genus Phellodendron from Sapindales. The BIA biosynthesis has been intensively investigated in Ranunculales species. However, the accumulation mechanism of BIAs in Phellodendron is largely unknown. The aim of this study is to unravel the biosynthetic pathways of BIAs in Phellodendron amurens. METHODS: The transcriptome and metabolome data from 18 different tissues of P. amurense were meticulously sequenced and subsequently subjected to a thorough analysis. Weighted gene co-expression network analysis (WGCNA), a powerful systems biology approach that facilitates the construction and subsequent analysis of co-expression networks, was utilized to identify candidate genes involved in BIAs biosynthesis. Following this, recombinant plasmids containing candidate genes were expressed in Escherichia coli, a widely used prokaryotic expression system. The purpose of this genetic engineering endeavor was to express the candidate genes within the bacteria, thereby enabling the assessment of the resultant enzyme activity. RESULTS: The synonymous substitutions per synonymous site for paralogs indicated that at least one whole genome duplication event has occurred. The potential BIA biosynthetic pathway of P. amurense was proposed, and two PR10/Bet v1 members, 14 CYP450s, and 33 methyltransferases were selected as related to BIA biosynthesis. One PR10/Bet v1 was identified as norcoclaurine synthase, which could catalyze dopamine and 4-hydroxyphenylacetaldehyde into (S)-norcoclaurine. CONCLUSION Our studies provide important insights into the biosynthesis and evolution of BIAs in non-Ranunculales species.