Literature DB >> 31533943

Transcriptomic Profiling Identifies a DNA Repair-Related Signature as a Novel Prognostic Marker in Lower Grade Gliomas.

Fan Zeng1, Xiu Liu2, Kuanyu Wang2, Zheng Zhao3, Guanzhang Li2.   

Abstract

BACKGROUND: Gliomas are the most common and malignant intracranial tumors. The standard therapy is surgical resection combined with radiotherapy and chemotherapy. However, the emergence of radioresistance and chemoresistance, which is largely due to DNA damage repair, limits the therapeutic efficacy. Therefore, we identified a high-efficiency DNA damage repair-related risk signature as a predictor for prognosis in lower grade glioma.
METHODS: The signature was developed and validated in two independent datasets of the Chinese Glioma Genome Atlas (172 samples) and The Cancer Genome Atlas (451 samples). The time-dependent ROC curve, Cox regression, Nomogram, and Kaplan-Meier analyses were performed to evaluate the prognostic performance of the risk signature. The Metascape and IHC staining were performed to reveal the potential biological mechanism. GraphPad prism, SPSS, and R language were used for statistical analysis and graphical work.
RESULTS: This signature could distinguish the prognosis of patients, and patients with high-risk scores exhibited short survival time. The time-dependent ROC curve, Cox regression, and Nomogram model indicated the independent prognostic performance and high prognostic accuracy of the signature for survival. Combined with the IDH mutation status, this risk signature could further subdivide patients with distinct survival. Functional analysis of associated genes revealed signature-related biological process of cell cycle and DNA repair. These mechanisms were confirmed in patient samples.
CONCLUSIONS: The DNA damage repair-related signature was an independent and powerful prognostic biomarker in lower grade glioma. IMPACT: The signature may potentially improve risk stratification of patients and provide a more accurate assessment of personalized treatment in clinic. ©2019 American Association for Cancer Research.

Entities:  

Year:  2019        PMID: 31533943     DOI: 10.1158/1055-9965.EPI-19-0740

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  3 in total

1.  Breast Cancer Classification Based on Tumor Budding and Stem Cell-Related Signatures Facilitate Prognosis Evaluation.

Authors:  Zhenxian Xiang; Qiuming He; Li Huang; Bin Xiong; Qingming Xiang
Journal:  Front Oncol       Date:  2022-01-10       Impact factor: 6.244

2.  The Value of H2BC12 for Predicting Poor Survival Outcomes in Patients With WHO Grade II and III Gliomas.

Authors:  Jie Zhou; Zhaoquan Xing; Yilei Xiao; Mengyou Li; Xin Li; Ding Wang; Zhaogang Dong
Journal:  Front Mol Biosci       Date:  2022-04-25

3.  Development and validation of a cancer stem cell-related signature for prognostic prediction in pancreatic ductal adenocarcinoma.

Authors:  Zengyu Feng; Minmin Shi; Kexian Li; Yang Ma; Lingxi Jiang; Hao Chen; Chenghong Peng
Journal:  J Transl Med       Date:  2020-09-21       Impact factor: 5.531

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.