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Boxue He
Researcher at Central South University
Publications - 20
Citations - 228
Boxue He is an academic researcher from Central South University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 2, co-authored 12 publications receiving 29 citations. Previous affiliations of Boxue He include South University.
Papers
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Journal ArticleDOI
miRNA-based biomarkers, therapies, and resistance in Cancer.
Boxue He,Zhenyu Zhao,Qidong Cai,Yuqian Zhang,Pengfei Zhang,Shuai Shi,Hui Xie,Xiong Peng,Wei Yin,Yongguang Tao,Xiang Wang +10 more
TL;DR: It is demonstrated that many miRNAs are engaged in the resistance of cancer therapies with their complex underlying regulatory mechanisms, whose comprehensive cognition can help clinicians and improve patient prognosis.
Journal ArticleDOI
N6-Methyladenosine RNA Methylation Regulator-Related Alternative Splicing (AS) Gene Signature Predicts Non-Small Cell Lung Cancer Prognosis.
Zhenyu Zhao,Qidong Cai,Pengfei Zhang,Boxue He,Xiong Peng,Guangxu Tu,Weilin Peng,Li Wang,Fenglei Yu,Xiang Wang +9 more
TL;DR: Aberrant N6-methyladenosine (m6A) regulatory genes and related gene alternative splicing (AS) could be used to predict the prognosis of non-small cell lung carcinoma as mentioned in this paper.
Journal ArticleDOI
Combination of tumor mutation burden and immune infiltrates for the prognosis of lung adenocarcinoma.
TL;DR: In this paper, the authors explored the potential role of a signature of genes associated with TMB and immune infiltrates in the prognosis of lung adenocarcinoma (LUAD) patients.
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RAD51AP1 regulates ALT-HDR through chromatin-directed homeostasis of TERRA.
Nicole Kaminski,Anne R. Wondisford,Youngho Kwon,Michelle L. Lynskey,Ragini Bhargava,Jonathan Barroso-González,Laura García-Expósito,Boxue He,Meng Xu,Datta Mellacheruvu,Simon C. Watkins,Mauro Modesti,Kyle M. Miller,Alexey I. Nesvizhskii,Huaiying Zhang,Patrick Sung,Roderick J. O'Sullivan +16 more
TL;DR: In this paper , the authors show that RAD51AP1, a crucial ALT factor, interacts with TERRA and utilizes it to generate D-and R-loop HR intermediates.
Journal ArticleDOI
Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods.
TL;DR: This study identified key prognosis-related ASEs and established a 16-ASE-based prognostic model to predict overall survival for LUAD patients using Cox regression model, random survival forest analysis, and forward selection model.