Background and purpose:Gastric cancer,as one of the most common malignant tumors,requires early diagnosis and treatment to improve patient prognosis.This study,based on serum quantitative proteomics research of early-stage gastric cancer patients and non-gastric cancer patients,aims to identify potential diagnostic biomarkers for early gastric cancer.Methods:Serum samples from primary gastric cancer patients and healthy control individuals were collected from Lanzhou University Second Hospital between June and December 2023,following inclusion and exclusion criteria.A protein spectral library was established using Data-Dependent Acquisition(DDA)mode,and each sample was analyzed using Data-Independent Acquisition(DIA)mode.The STRING database was used to analyze protein-protein interactions of upregulated proteins in gastric cancer serum.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)were used to analyze the pathways and functional annotations of the corresponding genes.Gene expression levels in gastric cancer and non-gastric cancer tissues were analyzed using GEPIA 2,and overall survival of each gene in gastric cancer was analyzed using Kaplan-Meier Plotter.Differential gene expression in clinical gastric cancer and adjacent tissues was validated by quantitative reverse transcription polymerase chain reaction(qRT-PCR)This study was approved by the Ethics Committee of Lanzhou University Second Hospital(Ethical No.:2023A-459)and was exempt from the informed consent.Results:Finally,serum samples from 30 primary gastric cancer patients,29 healthy control individuals,along with the para-cancerous tissues from 8 patients were collected.A total of 666 intersecting proteins were identified through serum quantitative proteomics.Among them,16 proteins showed upregulated expression and 22 proteins showed downregulated expression in the gastric cancer group(P＜0.05,|FC|≥1.5).STRING database analysis showed that 10 upregulated proteins were involved in interaction networks.KEGG and GO analysis indicated that these genes were closely related to the biological processes of cancer occurrence and development.GEPIA 2 and Kaplan-Meier Plotter analysis showed that 6 genes,B2M,TAGLN2,CTSD,HSP90AB1,SH3BGRL3,and CFL1,which were highly expressed in the gastric cancer group(P＜0.05)and associated with poor prognosis.Clinical verification by qRT-PCR confirmed that TAGLN2,CTSD,SH3BGRL3,CFL1 and HSP90AB1 were highly expressed in gastric cancer tissues(P＜0.05).Conclusion:TAGLN2,CTSD,SH3BGRL3,CFL1,and HSP90AB1 have the potential to serve as clinical early gastric cancer diagnostic serum biomarkers,which may facilitate early diagnosis and treatment of gastric cancer.

Background and purpose:Gastric cancer,as one of the most common malignant tumors,requires early diagnosis and treatment to improve patient prognosis.This study,based on serum quantitative proteomics research of early-stage gastric cancer patients and non-gastric cancer patients,aims to identify potential diagnostic biomarkers for early gastric cancer.Methods:Serum samples from primary gastric cancer patients and healthy control individuals were collected from Lanzhou University Second Hospital between June and December 2023,following inclusion and exclusion criteria.A protein spectral library was established using Data-Dependent Acquisition(DDA)mode,and each sample was analyzed using Data-Independent Acquisition(DIA)mode.The STRING database was used to analyze protein-protein interactions of upregulated proteins in gastric cancer serum.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)were used to analyze the pathways and functional annotations of the corresponding genes.Gene expression levels in gastric cancer and non-gastric cancer tissues were analyzed using GEPIA 2,and overall survival of each gene in gastric cancer was analyzed using Kaplan-Meier Plotter.Differential gene expression in clinical gastric cancer and adjacent tissues was validated by quantitative reverse transcription polymerase chain reaction(qRT-PCR)This study was approved by the Ethics Committee of Lanzhou University Second Hospital(Ethical No.:2023A-459)and was exempt from the informed consent.Results:Finally,serum samples from 30 primary gastric cancer patients,29 healthy control individuals,along with the para-cancerous tissues from 8 patients were collected.A total of 666 intersecting proteins were identified through serum quantitative proteomics.Among them,16 proteins showed upregulated expression and 22 proteins showed downregulated expression in the gastric cancer group(P＜0.05,|FC|≥1.5).STRING database analysis showed that 10 upregulated proteins were involved in interaction networks.KEGG and GO analysis indicated that these genes were closely related to the biological processes of cancer occurrence and development.GEPIA 2 and Kaplan-Meier Plotter analysis showed that 6 genes,B2M,TAGLN2,CTSD,HSP90AB1,SH3BGRL3,and CFL1,which were highly expressed in the gastric cancer group(P＜0.05)and associated with poor prognosis.Clinical verification by qRT-PCR confirmed that TAGLN2,CTSD,SH3BGRL3,CFL1 and HSP90AB1 were highly expressed in gastric cancer tissues(P＜0.05).Conclusion:TAGLN2,CTSD,SH3BGRL3,CFL1,and HSP90AB1 have the potential to serve as clinical early gastric cancer diagnostic serum biomarkers,which may facilitate early diagnosis and treatment of gastric cancer.

Objective To investigate the genotype distribution characteristics of hepatitis B virus(HBV)and hepatitis C virus(HCV)in Lanzhou.Methods From January 2018 to August 2023,1 130 patients with HBV infection and 1 781 patients with HCV infection in the hospital were genotyped by PCR-fluorescent probe method.SPSS26.0 statistical software was used to analyze the data.Results Genotype C was the most common genotype(925 cases,82.0％),followed by genotype B(124 cases,11.0％).There was no significant difference in gender distribution among genotypes B,C and D(x2=3.66,P=0.09),but there was significant difference among different age groups(x2=33.88,P=0.01).Genotype 2a was the most common genotype(930 cases,52.2％),followed by genotype 1b(737 cases,41.4％).There was significant difference in gender distribution among different genotypes(x2=46.31,P=0.01).There were significant differences in the distri-bution of genotype 1b and 2a among different age groups(x2=18.36,P=0.01).Conclusion HBV C geno-type and HCV 2a genotype are the main infection genotypes in patients with viral hepatitis in Lanzhou.The distribution of HBV genotypes B,C and D was related to age.The distribution of HCV genotypes was related to gender,and the distribution of HCV 1b and 2a genotypes was different with age.

Objective:To analyze the correlation between left and right atrial diameters and fetal biological growth parameters of normal fetuses in middle and late trimester, and to establish normal reference and Z-score model for left and right atria.Methods:Three hundred and ninety-two fetuses in middle and late trimester were prospectively selected from July 2022 to October 2022 in Sir Run Run Shaw Hospital.Non-cardiac biometric parameters included biparietal diameter (BPD), femoral length (FL), and gestational age (GA) based on menstrual age were assessed.Left and right atrial widths (LAW, RAW) and atrial lengths (LAL, RAL) at end-systole, left and right atrial areas (LAA, RAA) at end-systole and the heart area (HA) at end-diastole were measured in standard apical four-chamber or basal four-chamber view. The ratio of RA and LA transverse diameters (RAW/LAW), the ratio of RA and LA length diameters (RAL/LAL), ratio of RA and LA area (RAA/LAA), spherical index of the ratio of RA and LA length to transverse diameter (RASI, LASI), ratio of LA and RA area to heart area (LAA/HA, RAA/HA) were calculated. The best regression equation was established using GA, BPD and FL as independent variables and LAL, LAW, LAA, RAL, RAW, RAA as dependent variable. The correlation between the standard deviation (SD) and the independent variables GA, BPD and FL was analyzed, and then the above statistics were used to calculate the corresponding Z-score for each variable of RA and LA using the regression equation.Results:①Significant positive correlations were found between LAW, RAW, LAL, RAL, LAA and RAA with the increase of GA, BPD and FL, and the highest degree of correlation between RAA, LAA and GA was denoted ( r=0.927, 0.920, all P<0.001). ②Taking GA as an example, there was no significant correlation between RAL/LAL, RAW/LAW and GA ( r=-0.064, 0.077; all P>0.05). RAA/LAA showed a very weak positive correlation with GA ( r=0.106, P=0.037), with normal reference values of 1.002±0.091, 1.091±0.093, 1.059±0.090, respectively. Interestingly RAL/LAL was found close to 1, while RAW/LAW and RAA/LAA were always >1. No significant correlations were found between LAA/HA, RAA/HA and GA ( r=0.003, 0.056; all P>0.05), with normal reference values of 0.155±0.026, 0.163±0.026, respectively, and RAA/HA was found larger than LAA/HA. LASI showed a very weak positive correlation with GA ( r=0.112, P=0.027), while there was no significant correlation between RASI and GA ( r=0.003, P>0.05), the normal reference values were 1.068±0.113, 0.980±0.105, respectively. ③The SD of LAL, LAW, etc.showed a simple linear relationship with the independent variables. Taking RAA and GA as examples, the linear regression equation for RAA was Y=-1.690+ 0.107 0GA ( r=0.927, P<0.001) and the linear regression equation for RAA-SD was Y=-0.107+ 0.010 4GA ( r=0.320, P<0.001). The Z-scores for LAL, LAW, LAA, RAL, RAW and RAA were relatively constant with the growth of GA, BPD and FL, with the corresponding Z-scores for GA were -1.817~3.631( r=0.000 3), -1.605~2.995( r<-0.000 1), -1.700~3.107( r<0.000 1), -1.617~3.466( r=0.000 1), -1.491~3.025( r<-0.000 1), -1.566~3.104( r=0.000 2), respectively. Conclusions:This study preliminarily establish the reference value ranges and Z-score of atrial diameters in normal fetuses during middle and late trimester, providing a reference basis for accurate quantitative evaluation of fetal atrial development and analysis of fetal congenital heart abnormalities, and contributing to the early detection of pathological conditions leading to abnormal atrial size.

Colon cancer is a common malignant tumor in the world, however, its pathogenesis still needs further research. FEZF1- AS1 is highly expressed in colon cancer and other malignant tumors, and is associated with clinicopathological features and prognosis of colon cancer patients. In addition, FEZF1- AS1 promotes the proliferation, invasion and migration of colon cancer cells, regulates the cell cycle and inhibits apoptosis through various mechanisms, suggesting that FEZF1- AS1 may be a new important molecular biomarker and a potential therapeutic target for colon cancer. This article reviews the advances in the study of function and mechanism of FEZF1- AS1 in colon cancer.

AIM: To study the myopia and influencing factors among primary school students in Haidian, Beijing.

METHODS: A total of 801 primary school pupils from grade one to grade three of Beijing were selected according to the cluster stratified sampling method, and 801 questionnaires were collected from the scene, which accorded with 757 people aged 7-10 years old, and 757 valid questionnaires, the prevalence rate of this study was 24.4%. The baseline data of all the subjects were collected through questionnaires. The data of myopia were compared. The Logistic regression equation was used to calculate the factors causing myopia.

RESULTS: The main factors leading to myopia in primary school were reading time, electronic product use time, parents' myopia, outdoor activity time, and reading and writing postures. The above difference data was brought into the Logistic regression equation to confirm.

CONCLUSION: The myopia rate of primary school students in Beijing has reached a high level. There are many problems in family, daily life and students themselves. It is necessary to prevent and control the occurrence of myopia and promote the vision health of primary school students.