TERTp Mutation and its Prognostic Value in Glioma Patients Under the 2021 WHO Classification: A Real‐World Study by Hao Xing, Delin Liu, Junlin Li, Yulu Ge, Xiaopeng Guo, Wenlin Chen, Dachun Zhao, Yixin Shi, Yilin Li, Yaning Wang, Yuekun Wang, Yu Xia, Jiaming Wu, Tingyu Liang, Hai Wang, Qianshu Liu, Shanmu Jin, Tian Qu, Siying Guo, Huanzhang Li, Tianrui Yang, Kun Zhang, Yu Wang, Wenbin Ma

“…The occurrence of TERTp mutations varied with percentages of 4.55%, 100%, and 77.92% in astrocytoma, oligodendroglioma, and glioblastoma, respectively. 65% of all adult‐type glioma patients and 42.6% of IDH‐wildtype histology grade 2 or 3 patients were TERTp‐mutant. Survival analysis showed that TERTp mutation was a predictor of better prognosis in IDH‐mutant grade 2 gliomas (median OS (mOS): not reached (NA) (95% CI: NA–NA) vs. 75.9 (95% CI: 55.4–NA) months, HR = 0.077 (95% CI: 0.01–0.64), p = 0.003), while poor OS was associated with all Grade 4 gliomas (mOS: 17.5 (95% CI: 12.6–24.2) vs. 40.5 (95% CI: 24.4–83.8) months, HR = 2.014 (95% CI: 1.17–3.47), p = 0.01) and all IDH‐wildtype histology grade 2 or 3 gliomas (median OS: 12.6 (95% CI: 11–24.2) vs. 83.8 (95% CI: 35.2–NA) months, HR = 3.768 (95% CI: 1.83–7.78), p < 0.001). …”
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Integrative analysis of cuproptosis-related lncRNAs: Unveiling prognostic significance, immune microenvironment, and copper-induced mechanisms in prostate cancer by Haitao Zhong, Yiming Lai, Wenhao Ouyang, Yunfang Yu, Yongxin Wu, Xinxin He, Lexiang Zeng, Xueen Qiu, Peixian Chen, Lingfeng Li, Jie Zhou, Tianlong Luo, Hai Huang

“…Prognostic modeling was successfully established using MLA-GNN. Survival analysis suggested that patients could be divided into high- and low-risk groups according to model scores and that there was a significant difference in disease-free survival (DFS) (P < 0.01). …”
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Research on analysis model of information systems survivability by LIN Xue-gang1, XU Rong-sheng2

“…As information systems were open and complex,the entire problem of survivability analysis was divided into three aspects,i.e.environment,system and analysis process,and models of these aspects were given: system hierarchical model was provided based on the concept of workflow;event scenarios were used to describe the impact of environment on systems,and the environment was presented by grading event and adjusting distribution rate of the event set in different grade;based on FSM,system hierarchical state was provided,which converted the traditional direct survivability analysis based on system state into indirect hierarchical analysis.This analysis model can be applied in quantitative analysis of system survivability because of its event quantification.…”
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