Limei Zhang
Sun Yat-sen University
16 Papers
3 Citations
Limei Zhang is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 1, co-authored 4 publications.
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Papers
Platelet-derived alpha-granules are associated with inflammation in patients with NK/T-cell lymphoma-associated hemophagocytic syndrome
Quanguang Ren,Ka wo Chan,He Huang,Zhao Wang,Xiaojie Fang,Chengcheng Guo,Fangfang Li,Limei Zhang,Yuyi Yao,Zegeng Chen,Ying Tian,Tongyu Lin +11 more
TL;DR: It is found that angiopoietin-4 (ANG-4), which has significant differential expression, has been less reported, that may affect hematopoiesis and proinflammatory responses and can be used as diagnostic biomarkers together with PF4 and PDGFs.
15
Functional Gene Expression Signatures from On-Treatment Tumor Specimens Predict Anti-PD1 Blockade Response in Metastatic Melanoma
TL;DR: In this paper , the authors used the Elastic Net Regression (ENLR) algorithm to analyze transcriptomic and clinical data from a dataset of patients with metastatic melanoma treated with immune checkpoint blockade (ICB) therapies.
Comprehensive analysis of glycoprotein VI-mediated platelet activation signaling pathway for predicting pan-cancer survival and response to anti-PD-1 immunotherapy
Shuzhao Chen,Limei Zhang,Lezong Chen,Qianqian Huang,Yun Wang,Yang Liang +5 more
TL;DR: In this article , the role of platelet-related signaling pathways in various cancers and their responses to immune checkpoint blockade (ICB) therapy was investigated and it was shown that patients with high GMPA scores tended to have a good prognosis.
6
A tumor-associated endothelial signature score model in immunotherapy and prognosis across pan-cancers
Shuzhao Chen,Limei Zhang,Ma-Yan Huang,Yang Liang,Yun Wang +4 more
TL;DR: The analysis of TAE scores across 33 human cancers revealed that the TAE model could reflect immune cell infiltration and predict the survival of cancer patients and could represent a CIT response prediction model with a prognostic value in multiple cancer types.
4
Prognostic value of the nutritional risk index in patients with newly diagnosed multiple myeloma
TL;DR: In this paper , the association between the nutritional risk index (NRI) and survival outcomes in patients with newly diagnosed multiple myeloma (NDMM) was investigated, and it was shown that the NRI is a simple and useful predictor of survival outcomes.