Purpose To explore the clinicopathological features,diagnosis and differential diagnosis of large B-cell lym-phoma with IRF4 rearrangement(LBCL-IRF4r).Methods Clinical data of 8 cases of LBCL-IRF4r were collect,hematoxy-lin-eosin and immunohistochemical of EnVision two-step stains,in situ hybridization and FISH was used to study the histology,immunotypes and molecular genetic characteristics.The rele-vant literatures were reviewed.Results Among 8 cases of LBCL-IRF4r,the male to female ratio was 1.67:1,with age range 10-53 years(mean 25.8 years).Five cases occurred in tonsils,2 cases in nasopharynx and 1 cases in inguinal lymph node.Microscopically,the tumors presented with a purely follic-ular,purely diffuse or a combined follicular and diffuse architec-ture.The tumor cells were typical centroblasts and less frequent-ly medium-sized blastic cells with smaller nucleoli,apoptosis and nuclear fragmentation were easily seen.Immunophenotypi-cally,the tumor cells of the eight cases of LBCL-IRF4r diffuse strongly expressed CD20(8/8),PAX5(2/2),CD79a(3/3),BCL6(8/8)and MUM-1(8/8),mostly expressed CD10(7/8),partially expressed BCL2(5/8)and CD5(4/8),and did not express Cyclin D1,CD23 and CD30.The percentage of Ki67 index ranged from 70％to 95％.EBER in situ hybridiza-tion was negative in all cases.IRF4 rearrangements were detec-ted in all cases(8/8).BCL6 rearrangements were detected in one case(1/2).MYC(0/4)and BCL2(0/3)rearrangements were not detected in all cases.Conclusion LBCL-IRF4r is more common in children and adolescents with characteristic IG::IRF4 rearrangement and a good prognosis,which needs to be differentiated from other types of large B-cell lymphoma.

Objective:To evaluate the clinical application effects of a domestic bone-level implant system for restoring single tooth loss, and provide clinical evidence for the promotion and application of domestic implants.Methods:A prospective, multicenter clinical trial was conducted from April 2018 to January 2020 in three institutions: Department of Oral Implantology, School & Hospital of Stomatology, Wuhan University, Department of Stomatology, The First Affiliated Hospital of Zhejiang University School of Medicine, and Department of Stomatology, The Third Hospital of Hebei Medical University. The trial planned to include 100 patients for single tooth implantation and restoration, followed up for 1 year, to evaluate the implantation success rate and other related outcomes.Results:This study screened a total of 142 patients and ultimately included 100, comprising 43 males and 57 females with age of (47.0±12.2) years. Ninety-eight out of 100 patients completed a one-year follow-up (98.0%), while 2 patients terminated the trial early due to implant loosening (2.0%). After a one-year follow-up, the implants of the 98 patients were all functioning successfully, with a success rate of 98.0% (98/100). The patients were satisfied with the overall restoration effect.Conclusions:This study indicates that the domestic bone-level implant system has achieved favorable short-term clinical outcomes for single-tooth implantation and restoration.

Long non-coding RNAs (lncRNAs) which are usually thought to have no protein coding ability, are widely involved in cell proliferation, signal transduction and other biological activities. However, recent studies have suggested that short open reading frames (sORFs) of some lncRNAs can encode small functional peptides (micropeptides). These micropeptides appear to play important roles in calcium homeostasis, embryonic development and tumorigenesis, suggesting their potential as therapeutic targets and diagnostic biomarkers. Currently, bioinformatic tools as well as experimental methods such as ribosome mapping and in vitro translation are applied to predict the coding potential of lncRNAs. Furthermore, mass spectrometry, specific antibodies and epitope tags are used for validating the expression of micropeptides. Here, we review the physiological and pathological functions of recently identified micropeptides as well as research strategies for predicting the coding potential of lncRNAs to facilitate the further research of lncRNA encoded micropeptides.
Female ; Pregnancy ; Humans ; RNA, Long Noncoding/genetics* ; Research Design ; Antibodies ; Carcinogenesis ; Micropeptides

Background Heavy metals are widely present in the environment, difficult to degrade, and bioaccumulative. Children's physical development are not mature, and exposure to heavy metals which may cause irreversible harm to them. However, the current research conclusions are still inconsistent. Therefore, it is very important to pay attention to the impact of heavy metal pollutants on physical development. Objective To detect the level of heavy metal exposure of school-age children in Laizhou Wan, Shandong Province, and to explore the relationship between heavy metal exposure level and physical development indexes of school-age children. Methods The subjects of this study were 318 children born to pregnant women recruited from Laizhou Wan Birth Cohort in Shandong Province from September 2010 to December 2013. The school-age children at age 7 were followed up from July to September 2019. Their urine samples were collected and the levels of arsenic (As), cadmium (Cd), lead (Pb), and mercury (Hg) in urine were detected by inductively coupled plasma mass spectrometry (ICP-MS). At the same time, the height, weight, body mass index (BMI), waist circumference, and body fat percentage of the children were evaluate to analyze the relationship between the four heavy metals in children's urine and the indicators related to children's physical development. Results Among the 318 school-age children with an age (\begin{document}$\bar x \pm s $\end{document}) of (7.77±0.67) years, the median (P₂₅, P₇₅) levels of As, Cd, Pb, and Hg in urine were 73.98 (44.81, 124.61), 0.40 (0.27, 0.58), 1.20 (0.71, 1.72), and 2.38 (1.32, 4.80) µg·g⁻¹ (of creatinine), respectively. The children’s urinary Cd level was positively correlated with their weight, BMI, and waist circumference (P<0.05), and corresponding regression coefficients (b) and its 95% confidence intervals (CI) were 0.99 (0.14-1.83), 0.43 (0.06-0.81), and 1.35 (0.27-2.42), respectively; while the other heavy metals were not related to the above physical development indicators (P>0.05). After sex stratification, it was found that boys’ urinary Cd level was positively correlated with their height, weight, BMI, and waist circumference (P <0.05) with associated b (95%CI) of 1.73 (0.53-2.93), 2.03 (0.60-3.47), 0.75 (0.11-1.38), and 2.66 (0.85-4.47), respectively; such associations were not found in girls. After further stratification of boys’ BMI according to normal, overweight, and obesity, it was found that a higher urinary Cd level was correlated with an increased risk of obesity in boys (P<0.05), and the associated b (95%CI) was 2.34 (1.02-5.36). Conclusion The level of urinary Cd exposure of boys in Laizhou Wan, Shandong Province is positively correlated with their height, weight, BMI, and waist circumference, and may be related to obesity in boys.

Immunological evasion is one of the defining characteristics of cancers, as the immune modification of an immune checkpoint (IC) confers immune evasion capabilities to tumor cells. Multiple ICs, such as programmed cell death protein-1 (PD-1) and cytotoxic T-lymphocyte-associated antigen-4 (CTLA-4), can bind to their respective receptors and reduce tumor immunity in a variety of ways, including blocking immune cell activation signals. IC blockade (ICB) therapies targeting these checkpoint molecules have demonstrated significant clinical benefits. This is because antibody-based IC inhibitors and a variety of specific small molecule inhibitors can inhibit key oncogenic signaling pathways and induce durable tumor remission in patients with a variety of cancers. Deciphering the roles and regulatory mechanisms of these IC molecules will provide crucial theoretical guidance for clinical treatment. In this review, we summarize the current knowledge on the functional and regulatory mechanisms of these IC molecules at multiple levels, including epigenetic regulation, transcriptional regulation, and post-translational modifications. In addition, we provide a summary of the medications targeting various nodes in the regulatory pathway, and highlight the potential of newly identified IC molecules, focusing on their potential implications for cancer diagnostics and immunotherapy.
Apoptosis Regulatory Proteins ; CTLA-4 Antigen/therapeutic use* ; Epigenesis, Genetic ; Humans ; Immunotherapy ; Neoplasms/therapy* ; Programmed Cell Death 1 Receptor/therapeutic use*

Objective: To compare the disinfection effect of three-hole polypropylene infusion bottle stopper by central sterilization method and groove central sterilization method, and to explore the best method of three-hole polypropylene infusion bottle cap disinfection. Methods: A total of 1 088 bottles of three-pore polypropylene infusion bottles from 10 hospitals in Panzhihua City and the surrounding areas of Chengdu were selected for disinfection, and the effects were compared by fluorescent powder tracing method and bacterial culture method respectively. The two methods were divided into two groups: bottle stopper Central Sterilization group and groove Central Sterilization group. Each nurse sterilized two groups of liquid. Results: The total area of fluorescent powder residues after disinfection of 272 bottles of infusion bottles with different specifications M(P₂₅, P₇₅) was 0.26 (0, 2.51). The total area of fluorescent powder residues M(P₂₅, P₇₅) was 15 (8, 24). There were significant differences in the residual area of fluorescent powder between the two groups after liquid bottle disinfection (Z=-17.31, P<0.01). Thirty-four positive specimens of bacteria culture, 68 bacterial colonies and 158 bottles of infusion bottles were disinfected by central sterilization of 160 bottles. There were 15 positive samples and 30 colonies of bacteria cultured in the bottle disinfected by groove central disinfection method (χ²=2.773, P<0.05). Conclusion The groove center disinfection method is the best disinfection method for the bottle stopper of three-hole polypropylene infusion bottle.

In recent years,the application of machine learning in the field of radiotherapy has been gradually increased along with the development of big data and artificial intelligence technology.Through the training of previous plans,machine learning can predict the results of plan quality and dose verification.It can also predict the multi-leaf collimator (MLC) positioning error and linear accelerator performance.In addition,machine learning can be applied in the quality assurance of intensity-modulated radiotherapy to improve the quality and efficiency of treatment plan and implementation,increase the benefits to the patients and reduce the risk.However,there are many problems,such as difficulty in the selection,extraction and calculation of characteristic value,requirement for large training sample size and insufficient prediction accuracy,which impede its clinical translation and application.In this article,research progress on the application of machine learning in the quality assurance of IMRT was reviewed.

Objective: To conduct a comprehensive and systematic review of the efficacy and safety of Wenxin Keli (WXKL) in the treatment of atrial fibrillation (AF) . Methods: Seven databases (PubMed, The Cochrane Library, Web ofScience, CNKI, Wanfang Database, VIP and SinoMed) were searched to identify relevant randomized controlled trials (RCTs) from inceptions to 1 October, 2018. Two review authors independently assessed the methodological quality andanalyzed data by Cochrane handbook and the Rev Man 5.3 software. Begg.s test was conducted to assess publication biasvia Stata 14 software. Results: Twenty-four RCTs with 2246 patients were included in this review. Compared with blankcontrol, placebo or western medicine alone, WXKL alone or combined with western medicine could effectively reducerapid ventricular rate (MD=-7.14, 95％CI:-8.42——5.87), the frequency and duration of AF. It could also shorten thesinus rhythm conversion time (MD=-3.04, 95％CI:-3.47——2.61), increase the sinus rhythm conversion rate (RR=1.19, 95％ CI: 1.09～1.29) and decrease recurrence rate of AF (RR=0.28, 95％ CI: 0.13-0.59) . Besides, WXKL alone orcombined with western medicine was beneficial for improving the left ventricular ejection fraction (LVEF) (MD=3.44, 95％ CI: 0.87-6.01), left ventricular end diastolic diameter (LVEDD) (MD=-2.47, 95％ CI:-2.86——2.08), left atrialdiameter (LAd) (MD=-0.91, 95％CI:-1.58——0.25) and P wave dispersion (Pd) (MD=-4.04, 95％CI:-4.15——3.93) .WXKL combined with low-dose amiodarone was superior to conventional-dose amiodarone alone in improving themaximum P wave (Pmax) (MD=-8.25, 95％ CI:-10.33——6.17), and WXKL combined with conventional-doseamiodarone is more effective (MD=-13.10, 95％CI:-13.65——12.55) . Compared with the control group, the treatmentgroup had fewer adverse reactions, and the Begg.s test did not find any publication bias. Conclusion: WXKL alone orcombined with western medicine exhibited better therapeutic effects in the treatment of AF, but these results still needhigh-quality evidence to verify.

Objective To investigate the application value of volumetric modulated arc therapy (VMAT) combined with zoledronic acid in treatment of vertebral metastases. Methods A total of 58 patients with vertebral metastasis in Qingdao Central Hospital from January 2015 to June 2017 were extracted according to simple random sampling method. The data of 58 patients were analyzed retrospectively, and they were divided into 2 groups according to the different radiotherapy technology. The study group (28 cases) received VMAT combined with zoledronic acid treatment, and the control group (30 cases) received general radiotherapy combined with zoledronic acid treatment. The efficacy and tissue damage of the patients in both groups were compared according to the evaluation criterion including the local control rate, pain relief rate, local progression-free survival rate and exposure of the spinal cord. Results The local control rates were 92.9 ％ (26/28) and 73.3 ％ (22/30) respectively in the study group and the control group (χ2= 3.869, P=0.049). The pain relief rates were 96.4 ％ (27/28) and 76.7 ％ (23/30) respectively (χ2= 4.757, P= 0.029). The local progression-free survival rates of 3-month were 85.7 ％ (24/28), 60.0 ％ (18/30) respectively (χ2=4.794, P= 0.029) and the local progression-free survival rates of 6-month were 78.6 ％ (22/28), 50.0 ％(15/30) in the study group and the control group (χ2=5.119, P=0.024). The exposure of the spinal cord was (29.80±0.88) Gy and (39.90±0.20) Gy, respectively (t= -61.083, P= 0.000). Conclusion VMAT combined with zoledronic acid can improve the local control rate, pain relief rate, local progression-free survival rate, and reduce the exposure of the spinal cord.

Machine learning has developed rapidly in recent years.Using machine learning to predict the radiotherapy outcomes and complications can more accurately evaluate the patients' conditions and take appropriate treatment measures as soon as possible.The non-dose and dose related factors generated during radiotherapy are filtered and input into the algorithm model,then corresponding prediction result can be obtained.There are many algorithm models to predict survival rate,tumor control rate and radiotherapy complications,and the predicted result are more accurate now.However,the algorithm model also has various problems,and it needs constant exploration and improvement.