| Literature DB >> 35879762 |
Feng Wang1,2, Fen Zhao3,4, Li Zhang3,5, Lai Xiong3, Qing Mao3, Yanhui Liu3, Xiaoguang Qiu6, Xiang Wang3, Lin Shui3, Xi Chen3, Kexing Ren3,5, Pixian Shui7, Qiongwen Zhang3,5, Yifei Deng8, Weimin Li9, Xiaoqi Xie10, Dengbin Wu11, Tao Li12, Jinyi Lang12, Lei Liu3,5, Huaying Chen3,5, Jianguo Xu3, Sen Bai3, Zhiping Li3, Qiang Yue3, Ni Chen3, Bingwen Zhou3, Cheng Yi13, Yuquan Wei3, Yuchuan Fu3, Yong Luo3, Qiheng Gou3,5, Lunxu Liu3, Yuanzhao Liu14, Jingbo Kang15, Junjie Wang16, Dongcun Jing17, Fuquan Zhang18, Xiaoyan Yang19, Xianfeng Li19, Tao Jiang6, Zongcun Zhang20, Yizhi Zhou21, Junlin Yi22.
Abstract
BACKGROUND: Cell division cycle 6 (CDC6) has been proven to be associated with the initiation and progression of human multiple tumors. However, it's role in glioma, which is ranked as one of the common primary malignant tumor in the central nervous system and is associated with high morbidity and mortality, is unclear.Entities:
Keywords: Biomarker; CDC6; Glioma; Immune infiltrates; Prognosis
Mesh:
Substances:
Year: 2022 PMID: 35879762 PMCID: PMC9316328 DOI: 10.1186/s12943-022-01623-8
Source DB: PubMed Journal: Mol Cancer ISSN: 1476-4598 Impact factor: 41.444
Fig. 1The expression of CDC6 in different human cancers and its relationship with glioma prognosis. A PCA plot of the data showing no batch effect in the GSE104291 dataset. Red nodes represent the tumor cluster while blue nodes represent the normal cluster. B The volcano plots of DEGs in GSE104291. Red nodes represent upregulated genes, blue nodes represent downregulated genes, and gray indicates genes with no differential expression based on the criteria of p value < 0.05 and |log2 FC| > 1, respectively. C Wilcoxon rank sum test was used to analyze the differential expression of CDC6 in glioma tissues and normal tissues with the data of the GTEx database as controls. D CDC6 expression in TCGA tumors and normal tissues with the data of the GTEx database as controls. E Kaplan–Meier analysis of association between CDC6 expression and glioma prognosis in TCGA. F Kaplan–Meier analysis of association between CDC6 expression and glioma prognosis in CGGA. PCA, principal component analysis; DEGs, differentially expressed genes; log2 FC, log2 foldchange; TCGA, The Cancer Genome Atlas; GTEx, Genotype-Tissue Expression; CGGA, Chinese Glioma Genome Atlas. ns, p ≥ 0.05, *p < 0.05, **p < 0.01, ***p < 0.001
Fig. 2Transcriptional expression level and prognosis value of CDC6 in glioma from TCGA database. A-I The mRNA expression levels of CDC6 were analyzed in glioma patients according to (A) Age, (B) Gender, (C) Race, (D) IDH status, (E) 1p/19q codeletion, (F) WHO grade, (G-I) histological type, respectively. J-O Overall survival analysis towards the CDC6 expression was performed in subgroups of glioma patients: (J) Age: > 60, (K) Gender: Female, (L) primary therapy outcome: PD, (M) histological type: Glioblastoma, (N) IDH status: WT, (O) 1p/19q codeletion: non-codel. TCGA, The Cancer Genome Atlas; IDH, isocitrate dehydrogenase; WHO, World Health Organization; PD, progressive disease; WT, wild-type. ns, p ≥ 0.05, ***p < 0.001