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Xiao-hang Li

Researcher at China Medical University (PRC)

Publications -  7
Citations -  122

Xiao-hang Li is an academic researcher from China Medical University (PRC). The author has contributed to research in topics: Medicine & Gene. The author has an hindex of 2, co-authored 2 publications receiving 101 citations.

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Journal ArticleDOI

Clinical outcomes of radiofrequency ablation and surgical resection for small hepatocellular carcinoma: A meta-analysis

TL;DR: To evaluate the evidence comparing radiofrequency ablation (RFA) and surgical resection (RES) on the treatment of hepatocellular carcinoma (HCC) using meta‐analytical techniques, a meta-analytical study is conducted.
Journal Article

Is radiofrequency ablation equal to surgical re-resection for recurrent hepatocellular carcinoma meeting the Milan criteria? A meta-analysis.

TL;DR: RFA seemed to be superior to SRR in the treatment of patients with RHCC meeting the Milan criteria on account of clinical safety, however, these findings have to be carefully interpreted due to the lower level of evidence.
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Ovarian cancer‐specific dysregulated genes with prognostic significance: scRNA‐Seq with bulk RNA‐Seq data and experimental validation

TL;DR: Four M2 TAM‐associated genes (SLAMF7, GNAS, TBX2‐AS1, and LYPD6) correlated with the prognostic survival and prognostic risk score model based on these four genes may hold favorable predictive value for the prognosis of ovarian cancer patients.
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Comprehensive analysis of molecular characteristics, TMB, and MSI in Chinese patients with neuroendocrine neoplasms.

TL;DR: Wang et al. as discussed by the authors explored the molecular characteristics, tumor mutational burdens (TMB) and microsatellite instability (MSI) in Chinese NEN patients based on different primary lesions to discover genomic profiles.
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Identification of Circular RNA hsa-circ-0006969 as a Novel Biomarker for Breast Cancer

TL;DR: Wang et al. as mentioned in this paper investigated the characteristics of circular RNA hsa-circ-0006969 in breast cancer and identify it as a novel biomarker for breast cancer, which was found as a potential circRNA for BC diagnostic biomarker.