Publications by authors named "Qian-Qian Nie"
Article Synopsis
- This study focused on creating machine learning models to identify predictive features of dementia in older adults who initially showed normal cognition.
- Four models were developed and tested, with the random forest model showing the highest accuracy (93%) using factors like memory test results, education, and follow-up time.
- The findings suggest that this machine learning approach can effectively predict dementia in primary healthcare settings, helping to track cognitive changes and enable early intervention.
Background: As a prodromal stage of dementia, significant emphasis has been placed on the identification of modifiable risks of mild cognitive impairment (MCI). Research has indicated a correlation between exposure to air pollution and cognitive function in older adults. However, few studies have examined such an association among the MCI population inChina.
View Article and Find Full Text PDFGlioblastoma (GBM) is the most aggressive and lethal primary brain tumor. Conventional treatments have not achieved breakthroughs in improving survival. Therefore, novel molecular targets and biomarkers need to be identified.
View Article and Find Full Text PDFBackground: Homeobox A (HOXA) family is involved in the development of malignancies as either tumor suppressors or oncogenes. However, their roles in glioblastoma (GBM) and clinical significance have not been fully elucidated.
Methods: HOXA mutation and expressions in pan-cancers were investigated using GSCA and Oncomine, which in GBM were validated by cBioPortal, Chinese Glioma Genome Atlas (CGGA), and The Cancer Genome Atlas (TCGA) datasets.
Article Synopsis
- Notch receptors (1/2/3/4) play a key role in tumor progression and are linked to poor survival rates in glioblastoma (GBM), but their specific clinical roles are not fully understood.
- Research utilized datasets from The Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) to analyze the expression and prognostic significance of Notch receptors, particularly focusing on Notch3.
- Findings indicated that Notch receptors are upregulated in GBM, associated with different subtypes and mutations, and that a Notch3-based predictive risk model shows potential for guiding clinical outcomes for GBM patients.
Inflammatory responses after intracerebral hemorrhage (ICH) contribute to severe secondary brain injury, leading to poor clinical outcomes. However, the responsible genes for effective anti-inflammation treatment in ICH remain poorly elucidated. The differentially expressed genes (DEGs) of human ICH were explored by online GEO2R.
View Article and Find Full Text PDFIntroduction: Subarachnoid hemorrhage (SAH) is a severe hemorrhagic stroke with high mortality. However, there is a lack of clinical tools for predicting in-hospital mortality in clinical practice. LAR is a novel clinical marker that has demonstrated prognostic significance in a variety of diseases.
View Article and Find Full Text PDFBackground: Ischemic injury in stroke is followed by extensive neurovascular inflammation and changes in ischemic penumbra gene expression patterns. However, the key molecules involved in the inflammatory response during the acute phase of ischemic stroke remain unclear.
Methods: Gene expression profiles of two rat ischemic stroke-related data sets, GSE61616 and GSE97537, were downloaded from the GEO database for Gene Set Enrichment Analysis (GSEA).
Background: The chromobox family, a critical component of epigenetic regulators, participates in the tumorigenesis and progression of many malignancies. However, the roles of the CBX family members (CBXs) in glioblastoma (GBM) remain unclear.
Methods: The mRNA expression of CBXs was analyzed in tissues and cell lines by Oncomine and Cancer Cell Line Encyclopedia (CCLE).