Objective To understand the disease distribution and change rule of death causes by analyzing 8 670 dead cases in the First Affiliated Hospital of Southwest Medical University during Juhuary 1,2000 to December 31,2014.Methods The disease classification in 2000 and 2001 adopted the ICD-9 as the standard,which in other years adopted the ICD-10 as the standard.The medical records of dead hospitalized cases in our hospital during Juhuary 1,2000 to December 31,2014 were retrospectively analyzed by using the Excel 2007,SPSS17.0 software system.Results The sex ratio of male and female mortality was about 1.92 ∶ 1 in these 15 years,the sex ratio of heart disease death was 1.3 ∶ 1.In these 15 years,the number of hospitalized patients was increased rapidly,while the mortality rate was declined year by year.The age group of high mortality rate was 60 years old and over(4 281 cases),accounting for 49.38％.Especially heart disease patients over 60 years old accounted for 61.9％of total heart disease deaths.Followed by the age group of 45-59 years old,accounting for 20.30％.The top three causes of death were circulatory system diseases,respiratory diseases and malignant tumors.The top three causes of death in circulatory system diseases were coronary heart disease,cerebral hemorrhage and cerebral infarction.The top three causes of cardiovascular system were coronary heart disease,high blood pressure and congenital heart disease.The top three causes of respiratory disease were pneumonia,chronic obstructive pulmonary disease and respiratory failure.The top three death causes of malignant tumor were lung cancer,leukemia and liver cancer.According to the seasonal distribution,the number of deaths in winter was up to 2 362 cases,the constituent ratio was 27.24 ％.Hospitalization days,the number of hospitalization death≤1 d was up to 2 625 cases,the constituent ratio was 30.28％.Conclusion Analyzing the death causes,disease distribution and change trend of inpatients is conducive to the rational allocationof medical resources,promote the reform of hospital management programs and improve the level of clinical epidemiological research in this area.

Objective Determination of the specific antibodies of IgG and IgM against SARS virus in serum specimens from convalescent SARS patients. Methods The contents of IgG and IgM antibodies against coronavirus were determined with ELISA in the blood of 22 convalescent SARS patients. At the same time, the sera from 22 healthy people were used as negative control. Results The positive rate of specific IgG was 100.0% in convalescent SARS patients (the minimal OD value was 0.477, the maximal OD value was 1.851, the mean value was 1.163), within 71 days of recovery. The positive rate of specific IgM was 22.73% in convalescent patients (5 in 22 samples), and it became negative in all patients after 65 days. On the contrary, the IgG and IgM antibodies were all negative in all 22 healthy people. Conclusion The results indicated that all patients convalescent from SARS could generate specific IgG antibody, which might last for a long time.

Objective To analyze the differences in gene expression between human lung giant cell carcinoma cell strains of high metastatic 95D and low metastatic 95C and to screen lung cancer metastasis-associated genes using cDNA microarray.Methods The mRNAs were extracted from human lung giant cell carcinoma cell strains of high metastatic 95D and low metastatic 95C,and reversely transcribed to the cDNAs and labeled by Cy5-dUTP and Cy3-dUTP to prepare the hybridization probes.The mixed probes were hybridized to the cDNA microarray chip.The information was obtained by managing the cDNA microarray chip with Scan Array 3000 scanner and ImaGene3.0 software.A part of genes whose expressions changed in cDNA microarray analysis were further identified by RT-PCR.Results The cDNA microarray analysis showed that the expressions of 466 genes changed,among which 108 pairs of Double Gene had the same GenBank ID and some of the genes,including Fln29,RUVBL2,C14orf3 et al,were further confirmed by RT-PCR.The results of RT-PCR was coincided well with the cDNA microarray results.Conclusion Many different genes are involved in the metastasis of lung cancer.cDNA microarray technique might be a useful method in screening lung cancer metastasis-associated genes.

BACKGROUNDTo profile the expression patterns of 60 lung cancer related genes in human bronchial epithelial cell (BEP2D) and alpha-particle induced malignantly transformed cell (R15Hp35T-2).

METHODSSixty lung cancer related cDNAs were micro-arrayed onto the microscope slides using Cartesian PixSys5500 cDNA Microarray machine. Total RNA from BEP2D cell and R15Hp35T-2 cell was extracted and labeled by fluorescent dye. The labeled probe was then hybridized with the cDNA.

RESULTSCompared with the BEP2D cell, 27 genes up-regulated and 7 down-regulated in the R15Hp35T-2 cell. The expression abundance of most tumor suppressor genes were similar in the two kinds of cells, however, most oncogenes and growth factor genes were overexpressed in R15Hp35T-2 cell.

CONCLUSIONSIn malignantly transformed human bronchial epithelial cell model induced by alpha-particle, some oncogenes and growth factor genes may promote the malignant transformation together.

BACKGROUNDTo screen and identify differentially expressed genes among lung cancer tissues, paracancerous pulmonary tissues and some other kinds of tumor tissues using suppression subtractive hybridization (SSH) and cDNA Microarray.

METHODSOne cDNA chip was made by gathering clones of three differentially expressed cDNA libraries which came from BEP2D cell lines during three different malignant transformed phases. Then the clones were hybridizated with cDNA probes which extracted from 15 cases of lung cancer tissues, 5 cases of paracancerous pulmonary tissues and 24 cases of other 8 kinds of tumor tissues respectively.

RESULTSTwenty-six cDNAs were obtained which expressed higher in lung cancer tissues than that in paracancerous pulmonary tissues. Thirty-one cDNAs expressed remarkably higher in paracancerous tissues than those in cancer tissues. Compared with other 8 kinds of tumors, paracancerous tissues had 63 overexpressed cDNAs and lung cancer tissues had 87 overexpressed cDNAs.

CONCLUSIONSThe combination of SSH and cDNA microarray is rapid and effective for screening and identification of differentially expressed genes in different samples. It may be potentially useful for diagnosis of lung cancer to further study the differentially expressed genes among lung cancer tissues, paracancerous pulmonary tissues and other tumor tissues.