Minghui Zhang
Harbin Medical University
35 Papers
29 Citations
Minghui Zhang is an academic researcher from Harbin Medical University. The author has contributed to research in topics: Medicine & Cancer. The author has an hindex of 13, co-authored 24 publications.
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Papers
PD-L1 expression in lung cancer and its correlation with driver mutations: a meta-analysis
TL;DR: The pooled ORs indicated that PD-L1 expression was associated with gender, smoking status, histology, differentiation, tumour size, lymph nodal metastasis, TNM stage and EGFR mutation, but was not correlated with ALK rearrangement and KRAS mutations.
Expression of PD-L1 and prognosis in breast cancer: a meta-analysis.
TL;DR: The findings indicate that PD-L1 expression is a promising biomarker for the prognosis of breast cancer, and may be helpful to clinicians aiming to select the appropriate immunotherapy for breast cancer.
An Immune-Related Signature Predicts Survival in Patients With Lung Adenocarcinoma.
TL;DR: A prognostic prediction RiskScore model is established based on the expression profiles of 14 immune-related genes, which shows high prediction accuracy and stability in identifying immune features and could provide clinical guidance for the diagnosis and prognosis of different immunophenotypes.
The clinicopathological and prognostic significance of PD-L1 expression in gastric cancer: a meta-analysis of 10 studies with 1,901 patients.
TL;DR: It is indicated that PD-L1 expression is a valuable predictor of the prognosis of patients with GC and could be used for identifying a subgroup of patients, who would potentially benefit from targeted therapy against PD-1 or PD- L1.
The prognostic role of circulating tumor cells (CTCs) detected by RT-PCR in breast cancer: a meta-analysis of published literature.
Shu Zhao,Yupeng Liu,Qingyuan Zhang,Hongbin Li,Minghui Zhang,Wenjie Ma,Wenhui Zhao,Jingxuan Wang,Maopeng Yang +8 more
TL;DR: In this article, the authors performed a meta-analysis of published literature to assess whether the detection of CTCs in patients diagnosed with primary breast cancer can be used as a prognostic factor.
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