Machine learning-based tumor-infiltrating immune cell-associated lncRNAs for predicting prognosis and immunotherapy response in patients with glioblastoma
Hao Zhang(Northwestern Polytechnical University), Quan Cheng(Central South University), Wantao Wu(Central South University), Peng Luo(Zhujiang Hospital), Nan Zhang(Huazhong University of Science and Technology), Zeyu Wang(Anhui University), Liyang Zhang(Central South University), Shuyu Li(Xuzhou Medical College), Zhixiong Liu(Central South University), Zaoqu Liu(Chinese Academy of Medical Sciences & Peking Union Medical College), Zaoqu Liu(Central South University), Ran Zhou(Central South University), Jian Zhang(Zhujiang Hospital), Ziyu Dai(Central South University)
Cited by 86
Related Papers
Glioma targeted therapy: insight into future of molecular approaches
|Molecular Cancer|2022|727
CGCG clinical practice guidelines for the management of adult diffuse gliomas
|Cancer Letters|2016|650
PARP inhibitor resistance: the underlying mechanisms and clinical implications
|Molecular Cancer|2020|548
Regulatory mechanisms of immune checkpoints PD-L1 and CTLA-4 in cancer
|Journal of Experimental & Clinical Cancer Research|2021|535
Clinical practice guidelines for the management of adult diffuse gliomas
|Cancer Letters|2020|482