Cervical cancer is a serious disease endangering the health of women, which is next only to breast cancer and colon cancer.There are nearly 130 000 new cases of cervical cancer arise in China each year, accounting for 1/5 of the total number of new cases in the world.Epidemiological survey has found that cervical cancer is related to various factors, such as human papilloma virus infection, multiple sexual partners, smoking, premature sexual life, sexually transmitted diseases, economic status and immunosuppression.Cervical cancer is pathologically characterized by cervical dysplasia cervical atypical hyperplasia (mild, moderate, severe) to carcinoma in situ and to infiltrating carcinoma.Female vagina is a relatively anoxic and unique dynamic micro ecological system colonized with a large number of bacteria.And the vaginal microflora is the kernel of maintaining vaginal micro ecological balance.The uterine cervix is directly exposed to the vagina, and is closely related to vaginal microbes.However, there are few reports on the direct relationship between cervical cancer and vaginal microbes.In this review, the roles and significance of vaginal microbial imbalance and common vaginal infections in cervical cancer will be discussed from different angles.

Objective To analyse clinical features of dead children in pediatric intensive care unit(PICU) of Children's Hospital of Chongqing Medical University from 2005 to 2014.Methods Clinical data of 917 dead cases in PICU from January 2005 to December 2014 in this hospital were collected,then distribution characteristics of age,length of hospital stay,time of dead and transfer department were analysed.The death cause analysis was conducted as well.Results According to systematic classification of disease,the top 10 leading causes of death for 917 dead cases in PICU from 2005 to 2014 in this hospital were congenital deformity,infectious disease,respiratory disease,injury and poisoning,digestive system disease,tumor,symptoms,signs and abnormal clinical and laboratory findings not elsewhere classified,circulation system disease,nervous system disease,blood system disease.Compared with 2005-2014,the ratio of dead cases due to infectious diseases to the total cases was declined,while that due to non-infectious diseases was increased,there was statistically significant difference (x2 =26.29,P =0.00).Whereas,the ranks of septicopyemia and hand-foot-mouth disease in the rank order of death causes both were increased.Condusion Congenital deformity is the first cause of death in PICU of this hospital.The key to cutting children's mortality is to reduce newborn with congenital deformity.

Objective: To investigate the status and prognostic significance of TERT and IDH1/2 genes mutations in diffusely infiltrating gliomas. Methods: Hot spot mutations of TERT and IDH1/2 genes were detected by DNA sequencing in 236 cases of gliomas at West China Hospital from 2012 to 2016, including pilocytic astrocytoma (WHO grade Ⅰ, 16 cases), diffuse astrocytoma and oligodendroglioma (WHO grade Ⅱ, 89 cases), anaplastic astrocytoma and oligodendroglioma (WHO grade Ⅲ, 72 cases) and glioblastoma (WHO grade Ⅳ, 59 cases). The prognostic significance of TERT and IDH1/2 hot spot mutations was evaluated. Results: No IDH or TERT mutations were detected in pilocytic gliomas. TERT promoter mutation frequency was higher in patients aged ≥40 years(60.8%, 93/153) than in patients aged <40 years (32.8%, 22/67; P<0.01). TERT promoter mutation rate was also significantly higher in oligodendroglioma (87.5% , 56/64) than that in astrocytoma(37.8%, 59/156; P<0.01). Young age (<40 years), oligodendroglioma and IDH1 mutation were favorable prognostic factors for diffusely infiltrating astrocytic and oligodendroglial tumors. TERT mutation alone was not of prognostic significance. Diffusely infiltrating astrocytic and oligodendroglial tumors were divided into four molecular subtypes according to TERT and IDH1 mutation status: IDH(+ )/TERT(+ ), IDH(+ )/TERT(-), IDH(-)/TERT(-) and IDH(-)/TERT(+ ). There was significant prognostic difference among the 4 subtypes. Conclusions Combined IDH and TERT gene mutation analysis may be useful for prognostic subgrouping. Notably, IDH1 wild-type cases can be further subdivided into TERT(+ ) or (-) subgroups with significant prognostic difference.