ObjectiveTo establish a tumor prognostic risk assessment model related to target genes of the miR-34 family. MethodsTarget genes of the miR-34 family were screened， and the scores of miR-34 target genes were assessed in 16 tumor types. Univariate Cox regression analysis was used to identify the tumor type with the strongest correlation between miR-34 target gene scores and overall survival （OS）. Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses were performed to elucidate the functional roles and signaling pathways of miR-34 target genes. A prognostic risk model based on the miR-34 target genes was constructed using univariate Cox and LASSO regression analyses. Quantitative real-time PCR （qPCR） and dual-luciferase reporter assays were conducted to validate whether the target genes bind to miR-34 and measure their RNA expression levels in the relevant tumors. Additionally， the risk score was integrated with other clinical indicators to develop a nomogram prediction model for patient survival. ResultsA total of 65 target genes of the miR-34 family were screened. The cancer type exhibiting stronger correlation between the target gene scores and OS was lung adenocarcinoma （P = 0.003， HR= 5.150）. Furthermore， miR-34 target genes were predominantly enriched in oxidative stress pathways and various tumor-related processes. Three genes， LDHA， GALNT7， and SATB2， were identified as core components of the prognostic analysis model for lung adenocarcinoma. Additionally， the constructed nomogram model demonstrated robust predictive performance. ConclusionThe risk model and prognosis model of lung adenocarcinoma constructed based on the key target genes of miR-34 have good predictive performance.

Objective To analyze the levels of serum CTCs and ctDNA in NSCLC patients receiving first-line EGFR-TKI treatment, and to explore the clinical value of CTCs and ctDNA detection in assessing the efficacy of treatment for advanced lung cancer. Methods A total of 109 NSCLC patients receiving first-line EGFR-TKI treatment were enrolled. Serum tumor markers CEA, CTCs, and ctDNA were detected at baseline and after one month of treatment. Chest CT scans were performed, and treatment efficacy was evaluated based on RECIST1.1 criteria. CTCs were counted by enrichment-staining-computational algorithm to analyze malignant features, while ctDNA was assessed using digital PCR. Results Survival rate was low in patients with abnormal CEA and ctDNA tests at baseline and in patients with reduced serum CTCs after treatment. In the SD subgroup of patients with brain metastases and advanced stage, the PFS benefit was low. Conclusion Patients in the SD subgroup have significantly higher recurrence risks than those in the PR or CR subgroups. Therefore, CTC and ctDNA testing should be applied to patients in the SD subgroup to identify high-risk patients with poor response to EGFR-TKI treatment, intervene with additional treatment promptly, and obtain long progression-free survival.

Objective: To investigate the mechanism of miR-224-5p on proliferation, apoptosis, invasion and migration of human hepatocellular carcinoma HepG2 cells. Methods : The RNA expression levels of miR-224-5p and early growth responsive gene 2(EGR2) in patients with hepatocellular carcinoma were obtained from the TCGA dataset. Normal human hepatocytes LO2 and hepatoma cells HepG2 were cultured in vitro, and the HepG2 cells were transfected with lentiviral vectors(knockdown of miR-224-5p), small interfering RNA fragments or overexpression vectors(interference and overexpression of EGR2). The expression levels of miR-224-5p and EGR2 in hepatocellular carcinoma cDNA chips and cells were detected by quantitative real-time PCR(qPCR). The expression level of EGR2 protein was detected by Western blot. Dual luciferase reporter gene assay was used to detect the binding of miR-224-5p to EGR2. HepG2 cells positive rate were detected by EdU assay, apoptosis rate was detected by flow cytometry, cell invasion number was detected by Transwell assay, and cell mobility was detected by scratch assay. Results : Compared with paracancerous tissues, the expression of miR-224-5p was increased and the expression of EGR2 mRNA decreased in HCC tissues. Compared with LO2 group, the expression of miR-224-5p in HepG2 cells increased, and the expression of EGR2 mRNA and protein decreased. Compared with the Lv-sh-NC group, the 24 h EdU positive cell rate, cell invasion number, and 48 h cell mobility of HepG2 cells in the Lv-sh-miR-224-5p group decreased, while the apoptosis rate increased. Compared with Oe-NC group, 24 h EdU positive cell rate, cell invasion number, and 48 h cell mobility of HepG2 cells in Oe-EGR2 group decreased, while apoptosis rate increased. Compared with Lv-sh-NC group, the expression of EGR2 protein in Lv-sh-miR-224-5p group increased. Compared with Lv-sh-miR-224-5p+si-NC group, 24 h EdU positive cell rate, cell invasion rate, and 48 h cell mobility of HepG2 cells in Lv-sh-miR-224-5p+si-EGR2 group increased, while apoptosis number decreased. Conclusion miR-224-5p can promote proliferation, invasion, and migration of HepG2 cells and inhibit apoptosis via binding with EGR2.

This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans ; Mendelian Randomization Analysis ; Gallstones/complications* ; Female ; Male ; Cholecystectomy/statistics & numerical data* ; Middle Aged ; Risk Factors ; Aged ; Adult ; Neoplasms/etiology* ; Stomach Neoplasms/epidemiology*

Objective To investigate the distribution,risk factors and prognosis of VA-ECMO patients with capillary leakage syndrome(CLS).Methods 115 cases of VA-ECMO were collected in Emergency department,ICU 1 and 2 of Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine from December 2019 to December 2023 for prospective clinical observation study.It was observed the operation time and status of VA-ECMO and whether VA-ECMO patients were complicated with CLS.At the same time,type of disease,blood gas pH,HCO3-concentration,lactate value(LAC),serum albumin and so on were recorded.The influence of various factors on VA-ECMO with CLS was analyzed by binary Logistic regression.T test was used for measurement data and χ2 test was used for counting data.Results Capillary leakage syndrome in VA-ECMO patients were 61 cases,which had accounted for 53.04%.Sepsis,ECPR,pH value and LAC were the risk factors for VA-ECMO with CLS(P<0.05).The operation failure rate of ECMO in 24 hours of CLS group was 49.18%higher than that of non-CLS group(P<0.001).The mean running time of ECMO in CLS group was 39.53 hours,which was lower than that of non-CLS group(t=2.318,P<0.05).The mortality rate of CLS group was 88.24%,higher than that of non-CLS group(57.69%)(χ2=14.18,P<0.001).Conclusions The proportion of VA-ECMO combined with CLS was not low.Sepsis,ECPR,pH value and LAC were risk factors for VA-ECMO with CLS,and VA-ECMO combined with CLS seriously affected the operation of ECMO.For patients with VA-ECMO,it should be paid more attention to observe whether they have capillary leakage and its risk factors,and the potential etiology should be treated early to promote the progress of ECMO and improve their prognosis.

Objective To investigate the distribution,risk factors and prognosis of VA-ECMO patients with capillary leakage syndrome(CLS).Methods 115 cases of VA-ECMO were collected in Emergency department,ICU 1 and 2 of Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine from December 2019 to December 2023 for prospective clinical observation study.It was observed the operation time and status of VA-ECMO and whether VA-ECMO patients were complicated with CLS.At the same time,type of disease,blood gas pH,HCO3-concentration,lactate value(LAC),serum albumin and so on were recorded.The influence of various factors on VA-ECMO with CLS was analyzed by binary Logistic regression.T test was used for measurement data and χ2 test was used for counting data.Results Capillary leakage syndrome in VA-ECMO patients were 61 cases,which had accounted for 53.04%.Sepsis,ECPR,pH value and LAC were the risk factors for VA-ECMO with CLS(P<0.05).The operation failure rate of ECMO in 24 hours of CLS group was 49.18%higher than that of non-CLS group(P<0.001).The mean running time of ECMO in CLS group was 39.53 hours,which was lower than that of non-CLS group(t=2.318,P<0.05).The mortality rate of CLS group was 88.24%,higher than that of non-CLS group(57.69%)(χ2=14.18,P<0.001).Conclusions The proportion of VA-ECMO combined with CLS was not low.Sepsis,ECPR,pH value and LAC were risk factors for VA-ECMO with CLS,and VA-ECMO combined with CLS seriously affected the operation of ECMO.For patients with VA-ECMO,it should be paid more attention to observe whether they have capillary leakage and its risk factors,and the potential etiology should be treated early to promote the progress of ECMO and improve their prognosis.

Objective: To investigate the current status of milk tea consumption and its association with psychological distress among college students, so as to provide theoretial support for promoting the mental health of college students. Methods: From September to November 2023, a convenience sampling method was used to select 15 440 college students aged 17-24 from seven universities in Shanghai, Jiangxi, Hubei, and Shanxi. A self designed questionnaire and the Kessler Psychological Distress Scale were used to assess milk tea consumption and psychological distress, respectively. The Mantel-Haenszel test was employed to analyze the trend of psychological distress at different levels of milk tea consumption. Binary Logistic regression analysis was used to determine the association between milk tea consumption and psychological distress, and the restricted cubic spline method was applied to explore the nonlinear relationship between milk tea consumption and symptoms of psychological distress. Results: The detection rate of psychological distress among college students was 59.6%. Univariate analysis indicated a significant trend association between milk tea consumption frequency ( χ 2 trend =42.33) and milk tea intake level ( χ 2 trend = 5.17 ) with psychological distress ( P <0.05). Binary Logistic regression models showed a positive association between different levels of milk tea consumption frequency and psychological distress [1-3 times (mild to moderate distress, OR =1.20,1.41), 4-5 times (mild to severe distress, OR =2.80,5.44,4.12), and ≥6 times (severe distress, OR =8.04); and milk tea intake level: 1-1 500 mL (severe distress, OR =1.35), >1 500- <3 000 mL (mild to moderate distress, OR =1.21, 1.35), ≥3 000 mL (mild to severe distress, OR =1.33,1.71,1.29)] ( P <0.05 ). The restricted cubic spline model showed a nonlinear association between milk tea intake and the risk of psychological distress ( F = 107.34 , P non linear <0.01, P overall <0.01). Conclusions High frequency and high volume milk tea consumption are associated with an increased risk of psychological distress among college students. Reducing the consumption behavior of college students milk tea is helpful to improve mental health.

Objective To compare the clinical efficacy of peritoneolaparoscopic single position nephreteral total length resection(PSPNTLR)and posterior laparoscopic subabdominal incision technique(PLSIT)in the treatment of upper urothelial carcinoma(UTUC).Methods A total of 82 UTUC patients treated in our hospital during Jan.2018 and Feb.2021 were divided into the observation group(n=41,treated with PSPNTLR)and control group(n=41,treated with PLSIT)according to the random number table method.Perioperative indicators,pain degree,inflammatory factors,bladder recurrence and distant metastasis were compared between the two groups.Results The operation time[(122.15±15.14)min vs.(160.88±17.26)min],hospitalization time[(10.07±2.14)d vs.(12.22±3.13)d]and postoperative exhaust time[(1.46±0.57)d vs.(3.10±0.88)d]were significantly shorter,the intraoperative blood loss[(42.85±4.88)mL vs.(78.22±8.17)mL]and drainage volume[(53.61±9.74)mL vs.(81.56±11.06)mL]were significantly less in the observation group than in the control group(P＜0.05).The visual analogue score(VAS)of the observation group at 6,12 and 24 h after operation was significantly lower than that of the control group(P＜0.05).The levels of interleukin-6(IL-6)and C-reactive protein(CRP)were increased in both groups one day after surgery,but the indexes were increased more significantly in the control group(P＜0.05).During the 2-year follow-up after surgery,there were no statistical difference in bladder recurrence(12.20％vs.14.63％)and distant metastasis(9.76％vs.4.88％)between the two groups(P＞0.05).Conclusion Both PSPNTLR and PLSIT have good therapeutic safety,but PSPNTLR is more effective in improving perioperative indicators,reducing postoperative pain,and inhibiting inflammatory factors.

Objective:To investigate the diagnostic value of an intelligent assisted grading algorithm for nuclear cataract using anterior segment optical coherence tomography (AS-OCT) images.Methods:A diagnostic test study was conducted.AS-OCT image data were collected from 939 cases of 1 608 eyes of nuclear cataract patients at the Shanghai Tenth People's Hospital of Tongji University from November 2020 to September 2021.The data were obtained from the electronic case system and met the requirements for clinical reading clarity.Among them, there were 398 cases of 664 male eyes and 541 cases of 944 female eyes.The ages of the patients ranged from 18 to 94 years, with a mean age of (65.7±18.6) years.The AS-OCT images were labelled manually from one to six levels according to the Lens Opacities Classification System Ⅲ (LOCS Ⅲ grading system) by three experienced clinicians.This study proposed a global-local cataract grading algorithm based on multi-level ranking, which contains five basic binary classification global local network (GL-Net).Each GL-Net aggregates multi-scale information, including the cataract nucleus region and original image, for nuclear cataract grading.Based on ablation test and model comparison test, the model's performance was evaluated using accuracy, precision, sensitivity, F1 and Kappa, and all results were cross-validated by five-fold.This study adhered to the Declaration of Helsinjki and was approrved by Shanghai Tenth People's Hospital of Tongji University (No.21K216).Results:The model achieved the results with an accuracy of 87.81%, precision of 88.88%, sensitivity of 88.33%, F1 of 88.51%, and Kappa of 85.22% on the cataract dataset.The ablation experiments demonstrated that ResNet18 combining local and global features for multi-level ranking classification improved the accuracy, recall, specificity, F1, and Kappa metrics.Compared with ResNet34, VGG16, Ranking-CNN, MRF-Net models, the performance index of this model were improved.Conclusions:The deep learning-based AS-OCT nuclear cataract image multi-level ranking classification algorithm demonstrates high accuracy in grading cataracts.This algorithm may help ophthalmologists in improving the diagnostic accuracy and efficiency of nuclear cataract.