Objective To study the effect of ribosomal protein S13(RPS13) encoding genes on the development of mutidrug resistance (MDR) in human gastric cancer cell line. Methods RPS13 cDNA was amplified by RT-PCR. The sense and antisense eukaryotic expression vectors were constructed by DNA recombination. Gastric cancer cell line SGC7901 and Vincristine-resistant SGC7901/VCR cells were transfected with the sense and antisense recombinant vectors respectively using liposome-mediated method. RNA dot blotting assay was used to verify the changes of mRNA level in stable clones. To investigate effects of the sense, antisense vector transfection on the chemotherapeutic drug sensitivity, thiazolyl blue (MTT) cytotoxicity assay was used. Cell cycle was detected by flow cytometry (FCM). Results Whole length of RPS13 cDNA gene was amplified by RT-PCR. The sense, antisense eukaryotic expression vectors were constructed by the directed cloning of the target genes into eukaryotic expression vector pcDNA 3.1(+). RNA dot blotting assay suggested that mRNA level of the RPS13 was up-regulated in the sense recombinant vector transfected cells, and down-regulated in the antisense recombinant vector transfected cells. By MTT cytotoxicity assay, the enhanced resistance to adriamycin, 5-fluorouracil and vincristine was found in the RPS13 sense recombinant vector transfected SGC7901 cells. RPS13 antisense recombinant vector rendered SGC7901/VCR cells partially sensitive to mitomycin and vincristine. Cell cycle analysis suggested that the proportion of G1, S, and G2 cells was 47.0%, 33.2% and 19.8% respectively in up-regulated RPS13 cells; the proportion of G1, S and G2 cells was 62.9%, 1.0% and 36.1% respectively in down-regulated RPS13 cells. Conclusions RPS13 may take part in the mediation of MDR in gastric cancer cells.

BACKGROUND: Color Doppler flow imaging can exam the early myocardial disorder in type 2 diabetic patients. What does exercise tolerance test work for the examination of such disorder in combination with color Doppler flow imaging (CDFI) ?OBJECTIVE: To analyze in comparison the early evaluation on reduced diastolic function in left ventricle in patients with type 2 diabetes between the examinations of exercise tolerance test combined with color Doppler flow image and simple color Doppler flow imaging.DESIGN: Cases-controlled comparison and self-comparison.SETTING: Department of electrodiagnosis and department of Endocrinology in a municipal hospital.PARTICIPANTS: Thirty-six cases of inpatients with type 2 diabetes were selected from Department of Endocrinology of Shenyang Red Cross Hospital from March to December in 2004, of which, 25 cases were males and 11cases females. The diabetic patients included had no cardiac vascular complications and participated in the study in volunteer. Thirty-two patients who received annual routine health check at the same period were selected as the control, of which, 20 cases were males and 12 cases females.METHODS: Metronics treadmill exercise test equipment was used for exercise tolerance in two groups. Before exercise(at quiescent state) and after exercise tolerance, Vivid 4 CDFI was used to determine flow velocity at E and A peak values respectively, ratio between flow velocities at E peak value and A peak value as well as isovolumtric relaxation time (IRT).MAIN OUTCOME MEASURES: Comparison of cardiac functional indexes before and after exercise tolerance in two groups.RESULTS: Thirty-four diabetic patients accomplished exercise tolerance test, of which, 1 case presented frequent ventricular extrasystole, another one presented precordial pain and stopped the test. In the control, all of 32 cases ratio between flow rates of E peak value and A peak value was remarkably lower than that in the control (0. 90 ± 0. 25, 1.40 ± 0.30, P ＜ 0.05 ); IRT was remarkably longer than that in the control [ (112. 07 ± 20. 16),imental group, the ratio between flow rates of E peak value and A peak value was remarkably lower than that in the control (0.62 ±0. 12, 1.28 ±0.87, P＜ 0.01 ); IRT was remarkably longer than that in the control[ (138. 10± 19.21), (97.37±9.61) ms, P ＜0.01].CONCLUSION: CDFI can supervise and evaluate at early stage the cardiac functional changes in type 2 diabetic patients. Due to the induction of exercise tolerance, the combination of exercise tolerance test and CDFI provides more accurate, objective and valuable conclusions at early stage.

Objective:To verify the performance of the next-generation sequencing (NGS) platform and evaluate the application of NGS, droplet digital PCR (ddPCR) and super amplification refractory mutation system (super-ARMS) in the detection of circulating free DNA (cfDNA) mutations in patients with non-small-cell lung cancer (NSCLC).Methods:A total of 75 patients with NSCLC in the respiratory department of Zhongshan Hospital Affiliated to Fudan University were enrolled. The standards, cfDNA from 25 patients with newly diagnosed and untreated NSCLC, and self-made mixed samples mixed with hemoglobin (1 000 mg /dl), bilirubin (500 mg/l), fat emulsion (2%), enterococcus gDNA and Escherichia coli gDNA were used to verify the blank limit, analytical sensitivity, precision, accuracy and specificity of NGS platform. The cfDNA mutations of 75 NSCLC patients were detected by ddPCR and NGS, and the mutation positive rates of the two platforms were compared. The linear relationship between the two platforms was compared by Pearson correlation test. 12 patients were selected by simple random sampling for the detection of plasma super-ARMS platform. The performance of three platforms in the detection of plasma cfDNA mutation in patients with NSCLC was compared.Results:The blank limit of NGS platform was set to 0.00%, the analytical sensitivity was 0.2%, the intra-assay precision and inter-assay precision were 100%. The test results were not affected by endogenous hemoglobin, bilirubin or fat emulsion in plasma or exogenous DNA interference, and the analysis specificity was good. The mutation positive rates of plasma cfDNA in 75 NSCLC patients detected by ddPCR and NGS were 61.33% and 60.00%, respectively. The complete coincidence rate was 89.33%, which suggests there was a positive correlation between the mutation abundance of NGS and ddPCR ( r=0.984, P=0.001). Among the plasma of 12 NSCLC patients, the results of NGS, ddPCR and super-ARMS were completely consistent in 7 cases, including 2 wild-types and 5 mutants. Conclusion:The NGS platform was verified to be useful for cfDNA mutation detection in patients with NSCLC. The ddPCR, NGS and super-ARMS have their own advantages in detecting cfDNA mutations in patients with NSCLC.

Objective·To develop a machine learning approach for early identification of metabolic syndromes associated with inflammatory metabolic state changes in breast cancer patients after neoadjuvant therapy,using common laboratory and transthoracic echocardiography indices.Methods·Female patients with primary invasive breast cancer diagnosed at the Department of Breast Surgery,Renji Hospital,Shanghai Jiao Tong University School of Medicine,between September 2020 and September 2022,were included.General patient information,laboratory test results,and transthoracic echocardiography data were collected.After feature extraction,five machine learning algorithms,including random forest(RF),gradient boosting(GB),support vector machine(SVM),K-nearest neighbor(KNN),and decision tree(DT),were applied to construct a prediction model for the changes of the patients' metabolic state after neoadjuvant therapy,and the prediction performances of the five models were compared.Results·A total of 232 cases with valid clinical data were included,comprising 135 cases before neoadjuvant therapy and 97 cases after completing 4 cycles of neoadjuvant therapy.Feature extraction identified five key features:white blood cell count,hemoglobin,high-density lipoprotein(HDL),interleukin-2 receptor,and interleukin-8.In the multi-feature analysis,the area under the receiver operating characferistic curve(AUC)was higher in the combination of white blood cell count,hemoglobin and HDL compared to the combination of interleukin-2 receptor and interleukin-8(RF:0.928 vs 0.772,GB:0.900 vs 0.792,SVM:0.941 vs 0.764,KNN:0.907 vs 0.762,DT:0.799 vs 0.714).The RF,SVM,and GB models showed higher AUC(0.928,0.941,0.900)and accuracy(0.914,0.897,0.776).The SVM model exhibited superior accuracy in the training data compared to the RF and GB models(P=0.394,0.122 and 0.097,respectively).Conclusion·The SVM model can be used to establish a prediction model for identifying breast cancer patients at high risk of developing inflammatory metabolic state-related metabolic syndrome after neoadjuvant therapy by incorporating five common clinical indicators,namely,white blood cell count,hemoglobin,high-density lipoprotein,interleukin-2 receptor,and interleukin-8.SVM modeling may be useful for clinicians to establish individualized screening protocols based on a patient's inflammatory metabolic state.

Objective:To analyze the short-term clinical outcomes of total laparoscopic distal gastrectomy (TLDG) and laparoscopic-assisted distal gastrectomy (LADG) combined with Billroth-Ⅱ+Braun anastomosis.Methods:Clinical characteristics of patients undergoing laparoscopic distal gastrectomy combined with Billroth-Ⅱ+Braun anastomosis at Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University from Jan 2020 to Oct 2022 were analyzed. Patients were divided into TLDG group ( n=62) and LADG group ( n=62) according to the surgical approach. Results:There were significant differences in the preoperative clinical data section between the two groups, and 124 patients (62 in each group) were enrolled after using propensity score matching to balance significant variables. Compared with the LADG group, the TLDG group showed statistically differences in time to first venting [(2.9±1.3) vs. (2.3±0.8) d, Z=-3.072, P=0.002], time to first fluid diet [(5.9±1.3) vs. (5.4±1.4) d, Z=-2.031, P=0.042] and incision length [(7.1±1.4) vs. (4.8±0.8) cm, Z=-6.331, P=0.000]. Total postoperative complication rate in the TLDG group and the LADG group (29% vs. 37%, χ2=0.911, P=0.340) was not statistically significant. Incidence of postoperative pneumonia was lower in the TLDG group than in the LADG group (3% vs. 13%, χ2=3.916, P=0.048), and incidence of all remaining postoperative complications were not statistically significant. There was no statistically significant difference in the incidence of serious postoperative complications between the TLDG and LADG groups ( P=1.000). Multifactorial analysis revealed that male ( P=0.023) and age ≥65 years ( P=0.001) were independent risk factors for postoperative complications. Conclusion:TLDG is safe and feasible and has better short-term clinical efficacy than LADG.

Objective:This work aims to evaluate the clinical values of comprehensive genomic profiling examination based on circulating tumor DNA (ctDNA) in advanced lung cancer patients.Methods:This is a single-center, retrospective study that collected peripheral blood samples from patients with advanced lung cancer and performed gene mutation analysis using the TruSight Oncology 500 ctDNA assay kits. Between February 2022 and March 2023, a total of 82 patients were enrolled in Zhongshan Hospital, Fudan University, and 76 patients were included in the final analysis.According to the AMP/ASCO/CAP guidelines, mutations of targeted genes were divided into four levels (Tier I-IV), and the effectiveness of targeted therapy guided by ctDNA was evaluated. Descriptive statistics were used for basic characteristics, and the analysis of factors related to tumor mutational burden (TMB) was performed using the rank-sum test.Results:The ctDNA detection success rate was 92.7%(76/82).The median turnaround time for ctDNA testing was 10.5 days (9,13 days). At least one actionable mutation (Tier I or Ⅱ) was detected in 82.9%(63/76) of patients, and 28.6% (18/63) of patients received matched therapy, achieving a disease control rate of 18/18 and an objective response rate of 12/18.Conclusion:Comprehensive genomic profiling based on ctDNA can effectively identify actionable alterations in patients with advanced lung cancer and provide valuable information for matched therapy.

Objective To systematically evaluate the incidence rate of low-level viremia(LLV)in chronic hepatitis B(CHB)patients and related influencing factors,and to provide evidence-based medicine evidence for effective intervention and prevention of LLV in clinical practice.Methods This study was conducted according to the PRISMA guideline,with a PROSPERO registration number of CRD42023455304.CNKI,Wanfang Data,VIP,SinoMed,PubMed,Embase,Web of Science,and the Cochrane library were searched for observational studies on LLV and related influencing factors in CHB patients published up to July 21,2023.Stata 16.0 software was used to perform the meta-analysis.Results A total of 12 articles were included,with a total sample size of 3408 cases,among whom there were 1181 patients with LLV.The meta-analysis showed that the incidence rate of LLV was 32.8%(95%confidence interval[CI]:27.6%—38.3%)in treatment-experienced CHB patients.High HBsAg quantification(odds ratio[OR]=2.107,95%CI:1.782—2.491,P<0.001),positive HBeAg(OR=3.258,95%CI:2.629—4.038,P<0.001),high HBV DNA level at baseline(OR=1.286,95%CI:1.157—1.430,P<0.001),and history of entecavir treatment(OR=3.089,95%CI:1.880—5.074,P<0.001)were risk factors for LLV;duration of antiviral therapy≥3 years(OR=0.175,95%CI:0.093—0.331,P<0.001)and high alanine aminotransferase level at baseline(OR=0.985,95%CI:0.978—0.992,P<0.001)were protective factors against LLV.The sensitivity analysis showed no significant change in effective value,suggesting that the results of the meta-analysis were relatively stable.The funnel plot of the studies included was basically symmetrical,and the results of the Egger's test and the Begg's test suggested that there was no obvious publication bias in the articles included.Conclusion Clinicians should guide decision making based on the influencing factors for LLV and related clinical evidence,so as to reduce long-term clinical risks and avoid adverse outcomes.