波谱学杂志2018，Vol.35Issue(1)：22-30,9.DOI:10.11938/cjmr20172560
基于影像的形态学特征与胶质母细胞瘤特征分子表达的相关性研究
Correlations Between Morphological Characteristics and Expression Levels of Specific Molecular Biomarkers in Glioblastoma
摘要
Abstract
To provide guidance to clinical diagnosis and develop individual-based treatment/prognostic evaluation,this study explored the correlations between morphological characteristics of glioblastoma (GBM) measured by conventional MRI and expression levels of GBM-specific molecular biomarkers.MRI data of 60 patients with histopathologically confirmed GBM were analyzed retrospectively,from which the morphological characteristics of GMB (i.e.,TLD,ELD and CTE/TLD ratio) were measured.Histochemical staining was used to measure the levels of GBM-specific molecular biomarkers (i.e.,EGFR,IDH-1,TP53,PTEN and NEFL),which were calculated as the product of staining index and stained area.Correlations among the morphological characteristics and the levels of molecular biomarkers were assessed using multivariate logistic regression analyses.There was a significant correlation between TLD and EGFR level (r =0.796).The correlation between TLD and PTEN level was positive (r =0.533),while the correlation between TLD and IDH-1 level was negative (r =-0.672).CTE/TLD had a positive correlation with EGFR (r =0.622) and PTEN (r =0.638) levels,along with a negative correlation with IDH-1 level (r =-0.493).ELD had no significant correlation with the levels of all five molecular biomarkers.It was concluded that the morphological characteristics of GBM derived from conventional MRI had correlations with the expression levels of EGFR,IDH-1 and PTEN,and it was possible to derive heterogeneity,molecular classification and prognosis of GBM using conventional MRI.关键词
磁共振成像(MRI)/胶质母细胞瘤(GBM)分级/结构像/GBM特征分子Key words
MRI/GBM grading/conventional imaging/GBM-specific molecular biomarker分类
数理科学引用本文复制引用
马芸,郭虹,王秋实,张伟国,吴昊..基于影像的形态学特征与胶质母细胞瘤特征分子表达的相关性研究[J].波谱学杂志,2018,35(1):22-30,9.基金项目
重庆市科技研发基地建设计划(国际科技合作)项目(cstc2014gjhz110002) （国际科技合作）
国家自然科学基金资助项目(81571660). （81571660）
