| Objective: Human glioma are the original tumor neural ectoderm.According to statistics, the incidence of human brain gliomas3-6/100,000people per year, the death toll could reach30000people per year. Withastrocytoma is the most common.The second is glioblastoma multiforme(GBM). Glioma especially the GBM which is more easily found inmiddle-aged people is more prone to men than women. Based on lots ofmedical problems and social problems, treatment and research of gliomaespecially the GBM have attention from all walks of life.Ki-67as an firstevidence, is an important indicator for determining tumor prognosis, is themost widely proliferating cell markers. p53is a tumor suppressor gene, hasbecome the second evidence for judge the level of glioma, studies showedthat its regulation of the function of the RecQ helicase (BLM and WRN).RecQ1helicase plays an important role in maintaining genomic stabilityin human. RecQ1helicase is closely related to the susceptibility to cancer andearly aging. Current evidence suggests that RecQ1helicase absence couldcause mutations in tumor cell mitosis in mice,thereby ti could suppress tumorgrowth. This experiment aims to find the different expression of RecQ1helicase between all grade glioma and normal brain tissue in human. At thesame time,it aims to observe the relevance of RecQ1helicase expression withp53and KI-67in human gliomas.In order to determine RecQ1whether it canbe used for the degree of malignancy in human glioma and prognosticindicators, feasibility theoretical basis for gene therapy of gliomas.Methods: It selected tissue at random from gliomas patients who aretreatment in neurosurgery department of HeBei medical university secondhospital in January2012to January2013.Choose64cases of gliomaspatients(based on the WHO classification, will be the WHOⅠ-Ⅱ to a low level group;the WHOⅢ-Ⅳ glioma as high level group)as tumor group.Thisstudy has23cases in low level group,41cases of high level group. It select11cases healthy adults (encephalocele patients caused by trauma or othercauses)as control group. It get tumor in operation and fixed by formalin thenproperly preserv it.This study used immunohistochemical method (all in thesame laboratory, under the same experimental conditions).we measureexpression of RecQ1helicase p53and Ki-67in the tumor patients,andcompared with healthy brain tissue groups.Data statistics method: The dyeing specimens were watched at highmagnification vision(40times).It count positive staining cells which nucleuswas dyed by yellowish-brown, then calculate the average as the results for thisspecimen. Using SPSS16.0software to analyze the data which was describedwith mean±standard deviation(x±s).This study used Kruskal-Wallis rank testand t-test.And it used Pearson correlation test to describe correlation.Results:1The relationship between RecQ1and glioma occurrence and classificat-ion.This study have11cases of normal brain tissue as control group whichthe description of RecQ1was1.73±1.27.The experiment set up glioma group(64cases). The description of low-grade group (23cases) was26.57±7.99, ofthe high level group (41cases) was41.61±8.00in this experiment which setup64cases as glioma group.The result these groups accord with normaldistribution, but their variance are not neat.It used Kruskal-Wallis rank test(a=0.05) that results showed normal control group rank for a mean of6.00,low-grade group rank for a mean of28.85,high-grade group rank for amean of52.84average rank,Chi-square statistic was48.79, P<0.05.Used twoindependent t-test(a=0.05) to showed the results that the statistical descriptionof low-grade glioma and high-grade glioma were26.57±7.99and26.57±7.99,t=2.726, P <0.05.2The relationship between p53and glioma occurrence and classification.This study have11cases of normal brain tissue as control group which the description of RecQ1was2.09±1.22.The experiment set up glioma group(64cases). The description of low-grade group (23cases) was22.57±8.03ofthe high level group (41cases) was29.07±5.80in this experiment which setup64cases as glioma group.The result these groups accord with normaldistribution, but their variance are not neat.It used Kruskal-Wallis rank test(a=0.05) that results showed normal control group rank for a mean of6.00,low-grade group rank for a mean of33.70,high-grade group rank for amean of49.00average rank,Chi-square statistic was35.20, P<0.05.Used twoindependent t-test(a=0.05) to showed the results that the statistical descriptionof low-grade glioma and high-grade glioma were22.57±8.03and29.07±5.80,t=-3.741, P <0.05.3ki-67with glioma, and the relationship between the levelThis study have11cases of normal brain tissue as control group whichthe description of RecQ1was3.27±2.53.The experiment set up glioma group(64cases). The description of low-grade group (23cases) was14.30±6.30, ofthe high level group (41cases) was74.24±8.90in this experiment which setup64cases as glioma group.The result these groups accord with normaldistribution, but their variance are not neat.It used Kruskal-Wallis rank test(a=0.05) that results showed normal control group rank for a mean of6.68,low-grade group rank for a mean of22.67,high-grade group rank for amean of55.00average rank,Chi-square statistic was59.08, P<0.05.Used twoindependent t-test(a=0.05) to showed the results that the statistical descriptionof low-grade glioma and high-grade glioma were14.30±6.30and74.24±8.90,t=-28.48, P <0.05.4The correlation analysis of RecQ1,p53and ki-67in gliomaThis experiment setted up23cases of low-grade group and41caseshigh-grade group of64cases of glioma tumor tissue,high level group of41cases.It observe the relevance of RecQ1helicase expression with p53andKI-67in human gliomas at all levels and design a scatter diagram.Then it usedthe Pearson correlation test(a=0.05) to show the correlation analysis ofRecQ1,p53and ki-67in glioma.The results showed: throughout the glioma group, RecQ1with p53correlation coefficient is0.294, P=0.018, P <0.05;RecQ1and ki-67correlation coefficient of0.662, P=0.000, P <0.05. Weredetected each grade glioma group correlation among the results show: RecQ1and p53correlation coefficient was-0.170, P=0.439, P>0.05, RecQ1andki-67correlation coefficient was0.004, P=0.987, P>0.05in low-gradeglioma group; RecQ1and p53correlation coefficient was0.139, P=0.387,P>0.05, RecQ1and ki-67correlation coefficient was0.073, P=0.648, P>0.05in high-grade group.Conclusions：1There were significant difference degree of RecQ1between gliomagroup and health control group.And the glioma group is significantly higherthan normal control group. Tip: RecQ1obviously expressed in the gliomatissues.2There were significant differences degree of RecQ1expression betweenlow level group and high level group in glioma group.And the low level groupis significantly lower than the high level group. Tip: there had positivecorrelation between RecQ1and malignant degree of glioma.3There have correlation between RecQ1,p53and Ki-67expressedin theglioma and with the increase in glioma level increased.This shows thatRecQ1may become the new indicators to determine the degree of malignancyor prognosis of human brain glioblastoma;However there don’t havecorrelation between RecQ1,p53and Ki-67expressed in the low-grade gliomaor in the high-grade glioma. This, RecQ1differs from the classic tumorsuppressor gene and nuclear appreciation antigen and relatively independentexistence, it may become a new target for glioma gene therapy.There were difference degree of RecQ1expression at all levels ingliomas.It obviously expressed in glioblastoma multiforme, and stained in thecell nucleus.however, there is almost non-expression in normal controlgroup;There have correlation between RecQ1,p53and Ki-67expressedin theglioma and with the increase in glioma level increased.However there don’thave correlation between RecQ1,p53and Ki-67expressed in the low-grade glioma or in the high-grade glioma. Therefore, RecQ1may become a newindicator to judge the degree of malignancy or prognosis of human brainglioblastoma, and may become a new target for glioma gene therapy. |
PDF Full Text Request