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Yan Qun Liu
Researcher at North Sichuan Medical College
Publications - 5
Citations - 7
Yan Qun Liu is an academic researcher from North Sichuan Medical College. The author has contributed to research in topics: Medicine & Internal medicine. The author has co-authored 1 publications.
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Five metastasis-related mRNAs signature predicting the survival of patients with liver hepatocellular carcinoma.
TL;DR: The overall survival (OS)-related prognostic model which was constructed based on 4 MRGs significantly stratified LIHC patients into high- and low-risk groups and verified that it had a predictable value on the prognosis of LIHC, which could be helpful for gene targeted therapy.
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Prognostic value of genotyping in hepatocellular carcinoma: A systematic review
TL;DR: In this article , the authors performed a systematic review of articles published on MEDLINE from 1 January 2009 to 1 January 2022, addressing the value of genotyping for HCC risk stratification and prognostication.
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Prognostic and clinicopathological significance of TRIM21 in various cancers: A meta and bioinformatic analysis
TL;DR: Wang et al. as mentioned in this paper found that high TRIM21 expression predicted significant impact on clinical characteristics like decreased lymph node metastasis (RR = 1.12; 95% CI: 0.42-0.91; P < .001).
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Analysis of Risk Factors for Early Progression of Prostate Cancer After Initial Endocrine Therapy
Bowen Hu,Feng Shu,Yan Qun Liu,Jiaying Zhu,Hao-Kun Wang,Nengqing Xie,Xiaolin Liu,Guanmin Jiang,Minbo Yan,Yingbo Dai +9 more
TL;DR: In this article , the authors used a logistic regression model and a Kaplan-meier survival analysis to identify risk factors for progression to castration-resistant prostate cancer (CRPC).
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Performance of Radiomics in Microvascular Invasion Risk Stratification and Prognostic Assessment in Hepatocellular Carcinoma: A Meta-Analysis
TL;DR: In this article , the authors performed a meta-analysis of articles published to January 2023 on MEDLINE and showed that imaging phenomics is an effective solution to predict prognosis or treatment response in patients with HCC.