Publications by authors named "Xiazi Nie"
Association between immune-related hub genes , and and colorectal cancer prognosis.
Am J Transl Res
January 2024
The present study aims to identify immune-related prognostic genes in colorectal cancer (CRC), and to explore potential mechanisms through which these genes regulate CRC progression. We first constructed a prognostic risk model based on seven gene signatures [cluster of differentiation-36 (), chemokine (C-X-C-motif) ligand 13 (), fibroblast growth factor receptor 4 (), gamma-amino-butyric acid type B receptor 1 (), lysosome-associated membrane glycoprotein 3 (), recombinant matrix metalloproteinase 12 (), and protein phosphatase 1H ()] using integrated bioinformatic analyses. , and were highly expressed in CRC cell lines (in comparison with a normal colonic epithelial cell line), while , and were weakly expressed.
View Article and Find Full Text PDFArticle Synopsis
- Thyroid cancer (TC) includes types like papillary, follicular, medullary, and anaplastic, with increasing cases globally, particularly in countries such as the U.S., China, and several European nations.
- The review examines factors influencing thyroid function and TC risk, emphasizing lifestyle choices (like nutrition and smoking) and environmental pollutants that raise thyroid-stimulating hormone (TSH) levels linked to TC prevalence.
- It discusses the impact of oral and gut microbiota on thyroid health and suggests that maintaining a balanced microbiome could help regulate thyroid function, highlighting the potential benefits of probiotics in TC treatment while calling for more research in this area.
Article Synopsis
- The study aimed to evaluate the effectiveness of the Copenhagen index as a diagnostic tool for ovarian cancer.
- Researchers analyzed data from various medical databases, including a total of 11 studies with 5,266 patients, using statistical software for their calculations.
- Results indicated that the Copenhagen index has high sensitivity (82%) and specificity (88%), suggesting it can accurately diagnose ovarian cancer in clinical settings regardless of a patient's menopausal status.
Prognostic signature of ovarian cancer based on 14 tumor microenvironment-related genes.
Medicine (Baltimore)
July 2021
Background: Ovarian cancer is one of the lethal gynecological diseases in women. However, using tumor microenvironment related genes to identify prognostic signature of ovarian cancer has not been discussed in detail.
Methods: The mRNA profiles of 386 ovarian cancer patients were retrieved from The Cancer Genome Atlas.