Objective:To explore the quality of inventory samples of a biobank stored in a deep freezer from 0 to over 10 years in Shanghai Ruijin Hospital. Methods:We extracted 24 pairs of stocked gastric cancer samples between 2003 and 2014. We used 1%aga-rose gel electrophoresis to analyze DNA and RNA purity and integrity while adding the RNA integrity number (RIN) for precise analysis. Bicinchonininc acid (BCA) assay was used for protein concentration evaluation. Coomassie brilliant blue method was used for protein integrity assay. Results: The samples were divided into four groups according to cryopreservation period (<2 years, 3-5 years, 6-8 years, and>9 years). No significant difference in DNA integrity was found between the groups (P>0.05);however, DNA degradation in normal gastric mucosa was faster than that in gastric cancer tissue (P=0.023). The RIN significantly declined when the storage period was 6 years or longer (P=0.018). No significant difference in protein concentration was observed between different groups. Using Coo-massie brilliant blue method, we found significant differences in preserved proteins with different molecular weights. Proteins with varying molecular weights were detected in the groups with the following cryopreservation periods:>9 years, a small number of low-molecular-weight (average 36.5 KD) proteins;6-8 years, medium-molecular-weight (average 65.63KD) proteins;3-5 years, high-molecu-lar-weight (average 127.5 KD) proteins;<2 years, high-molecular-weight (average 160 KD) proteins. Conclusion:Cryopreservation does not exert an obvious effect on DNA. If the cryopreservation period is more than 5 years, serious degradation of RNA should occur;like-wise, degradation of proteins with higher molecular weight should occur.

Objective This study conducted the ARIMA model to analyze the cost structure and trend of inpatients with diabetes in a grade-A tertiary hospital and provide scientific basis for effectively controlling diabetes hospitalization expenses and reduce patient's economic burden.Methods The data of 18 371 inpatients with diabetes from 2012 to 2022 in a grade-A tertiary hospital were collected.We collected inpatient data of diabetes from 2012 to 2021 to fit the average inpatient expenses and drug proportion,and used data 2022 to verify the effect of model prediction.We predicted the average inpatient expenses and drug proportion from 2023 to 2025.Results The difference between the predicted value and the actual value was small,and the mean absolute percentage error was within the acceptable range.ARIAM model could be used to predict the expenses of diabetes.Conclusion The average cost of hospitalization showed a decreasing trend,and"the five colors,one map,one index"manage-ment model has achieved results.The proportion of drugs decreased obviously,but the composition of hospitalization expenses should be further optimized.The research of expenses prediction based on diabetes needs to be depended.

Objective:To investigate the effects of estimated dose of radiation to immune cells (EDRIC) on overall survival (OS), local progression-free survival (LPFS) and distant metastasis-free survival (DMFS) in limited-stage small-cell lung cancer (LS-SCLC) with different tumor burdens.Methods:Clinical data of 216 patients with LS-SCLC who initially received conventional fractionated radiotherapy of the chest for radical treatment in Tianjin Medical University Cancer Institute and Hospital from 2013 to 2019 were retrospectively analyzed. EDRIC was calculated based on the model developed by Jin et al. and tumor burdens were assessed by gross tumor volume (GTV) or clinical stage. The study endpoints were OS, LPFS and DMFS, which were calculated from the date of diagnosis. The optimal cut-off value of EDRIC was calculated by R language. The correlation between EDRIC and tumor burdens was analyzed using Spearman's correlations. Survival analysis was performed by Cox proportional hazards regression model and Kaplan-Meier curve. Results:The median follow-up time for the whole group was 47.8 months, and the median OS and DMFS was 34.6 months and 18.5 months, respectively, while the median LPFS did not reach. The optimal cut-off value of EDRIC was 6.8 Gy. Cox multivariate analysis showed that EDRIC was an independent prognostic factor affecting OS and DMFS. EDRIC was weakly correlated with GTV or clinical stage. Stratified by the median GTV, OS ( P=0.021) and DMFS ( P=0.030) were significantly shortened and LPFS had a tendency of shortening ( P=0.107) when EDRIC>6.8 Gy compared with those when EDRIC ≤ 6.8 Gy in the GTV ≤ 34.6 cm 3 group; EDRIC had little effect on OS, LPFS, and DMFS ( P=0.133, 0.420, 0.374) in the GTV>34.6 cm 3 group. Stratified by clinical stage, OS ( P=0.003) and DMFS ( P=0.032) were significantly shortened and LPFS ( P=0.125) tended to shorten when EDRIC>6.8 Gy in stage I, II and IIIA groups; EDRIC exerted slight effect on OS, LPFS, and DMFS ( P=0.377, 0.439, 0.484) in stage IIIB and IIIC groups. Conclusion:EDRIC is an important factor affecting prognosis and exerts more significant impact on prognosis in patients with smaller tumor burden.