[ABSTRACT]OBJECTIVEThe purpose of this study was to analyze the screened miRNAs related to the chemosensitivity for the TPF regimen of hypopharyngeal squamous cell carcinoma by miRNA array, and provide a set of miRNAs that may be useful for the development of novel diagnostic markers and more effective therapeutic strategies from the screened miRNAs.METHODSA total number of 21 patients who underwent TPF induction chemotherapy for primary hypopharyngeal squamous cell carcinoma were recruited for miRNA array analysis. 12 patients are sensitive to chemotherapy, and 9 patients are not. Moreover, the selected putative regulated miRNAs were also validated by RT-PCR in another 24 patients (14 patients are sensitive to chemotherapy, and others are not).RESULTSThere were 24 miRNA significantly differencial to the sensitivity to chemotherapy, and 6 miRNAs were up-regulated in the TPF group while 18 miRNA were down-regulated (P<0.05). To identify typical miRNA, mirfocus 3.0 database selected four miRNAs hsa-miR-211-3p, hsa-miR-4253, hsa-miR-4443, and hsa-miR-193b-3p, which were significant down-regulated in TPF-sensitive group. QRT-PCR further validated that only three miRNA (hsa-miR-4253、hsa-miR-4443、hsa-miR-193b-3p) were under-expressed in TPF-sensitive group of another 24 tissue samples (P<0.05).CONCLUSIONMiRNA hsa-miR-193b-3p, hsa-miR-4253, hsa-miR-4443 were identified in TPF-sensitive tissues by microarrays, and further validated by RT-PCR. These down-regulated miRNAs may act as novel biomarkers to classify TPF sensitivity of hypopharyngeal squamous cell carcinoma patients and will contribute to the understanding of the molecular basis of the chemosensitivity in the disease.

OBJECTIVE The purpose of this study was to analyze the screened miRNAs related to tumorigenesis using miRNA array in laryngeal squamous cell carcinoma (LSCC), and provide a set of miRNAs that may be useful for the development of novel diagnostic markers and/or more effective therapeutic strategies from the screened miRNAs in LSCC. METHODS A total number of 5 patients who underwent surgery for primary laryngeal squamous cell carcinoma were recruited for miRNA array analysis. LSCC tissues compared with corresponding adjacent non-neoplastic tissues were analyzed by the Affymetrix GeneChip miRNA Array 3.0 to screen effective miRNAs, and the raw dataset had been submitted to Gene Expression Omnibus. Then mirfocus 3.0 database was adopted to analyze putative regulated miRNAs related to MCM4, a gene related to tumorigenesis we had studied previously in LSCC. Moreover, the selected putative regulated miRNAs were also validated by qRT-PCR in another 21 patients diagnosed as LSCC. RESULTS Analyzed by the miRNAs arrays, there were 127 miRNAs significantly related to tumorigenesis, and 78 showed a higher expression in tumor than in non-tumor tissue while 49 presented the contrasting pattern (P<0.01). Then analyzed by mirfocus 3.0 database, there were 2 putative regulated miRNAs, hsa-miR-24-3p and hsa-miR-183-5p, related to the expression of MCM4. Another miRNA we should focus on was hsa-miR-30a-5p, which was down-expressed obviously analyzed by the miRNA array. The expression of the 3 putative regulated miRNAs were also validated by qRT-PCR in another 21 patients, and the result was the same with that in miRNA array (P<0.05). CONCLUSION The 3 putative miRNAs based on miRNA array analysis, hsa-miR-24-3p, hsa-miR-183-5p and hsa-miR-30a-5p, could be considered as potential diagnostic and therapeutic markers in LSCC. The result will contribute to the understanding of the molecular basis of LSCC and help to improve the treatment.

Adolescent ; Adult ; Child ; Child, Preschool ; China ; epidemiology ; Hepatitis B ; epidemiology ; Humans ; Infant ; Middle Aged ; Seroepidemiologic Studies ; Young Adult

OBJECTIVETo describe the epidemiological characteristics and related factors of SARS in Shanxi in order to provide scientific basis for prevention and control of severe acute respiratory syndrome (SARS).

METHODSData on clinically-diagnosed SARS cases reported to Shanxi Center for Disease Control and Prevention through SARS reporting system of Shanxi province and epidemiological reports were collected from early March to 20 May, 2003. The characteristics of SARS distribution in time, place and population in Shanxi were described. The epidemiological characteristics and related influential factors were analyzed with EPI info 6.0 software.

RESULTSSince the first imported SARS case was diagnosed clinically on 7 March and till 20 May in Shanxi province, the number of cumulative clinically-diagnosed SARS cases were 445 with an attack rate of 1.34/10,000. 20 deaths occurred in that period with the mortality rate 4.49%. The number of cases increased from 28 March and formed the first peak. However, the number continued to increase until 18 April to have formed the second peak. Since then, the number of cases has gradually decreased gradually. Since 19 May, there has been no clinically-diagnosed cases being reported. SARS cases were mostly seen in urban areas of the city (83.82% of the total SARS cases) with sporadic cases found in rural areas. Students and medical staff and people from 20 - 59 years of age occupied the large part of the cases. Age specific mortality rate increased with age and the male/female ratio was 1:0.87.

CONCLUSIONIn Shanxi province, the SARS epidemic seemed to have had the following stages: importation of the first case, gradual increase of the number of cases to reach the peak and decreasing. Case identification at early stage as well as taking measures to decrease the chance of transmission were strategically crucial for controlling the spread of SARS virus in the community.

China ; epidemiology ; Female ; Humans ; Male ; Occupations ; Severe Acute Respiratory Syndrome ; diagnosis ; epidemiology ; mortality

Objective: To investigate the current situation of cell phone use and sleep quality among college students, establish a sleep quality trajectory model and explore the influence of cell phone use on the sleep quality trajectory. Methods: Based on data from the College Student Behavior and Health Cohort Study 2019-2020, a latent class growth modeling was used to establish a sleep quality trajectory model among college students. The baseline influencing factors of sleep quality trajectories among college students were analyzed by χ² test, and the effects of cell phone use on sleep quality trajectories were analyzed by binary logistic regression. Results: A total of 1 092 college students were included in the analysis. The detection rates of cell phone use and poor sleep quality were 24.5% and 13.3%. Latent class growth model identified two groups of sleep quality trend trajactories: an improved sleep quality group (86.0%) and a decreased sleep quality group (14.0%). The result of binary logistic regression showed that the cell phone use was a risk factor of sleep quality trajectories. Conclusion: The cell phone use during college period could increase the risk of poor sleep quality. Targeted intervention measures about cell phone use should be adopted to improve the sleep quality among college students.
Humans ; Sleep Quality ; Cohort Studies ; Cell Phone Use ; Surveys and Questionnaires ; Students ; Sleep Initiation and Maintenance Disorders ; Cell Phone ; Sleep