XUELIAN CHEN^1,*, YUNZHENG ZHANG², JUNJIAN HE³, YIBING LI⁴

BIOCELL, Vol.47, No.10, pp. 2283-2300, 2023, DOI:10.32604/biocell.2023.030086

Abstract Background: The late detection of endometrial carcinoma (EC) at an advanced stage often results in a poor patient prognosis. It is hence important to identify reliable biomarkers to facilitate early detection of EC. Signal transducer and activator of transcription (STAT) family members play an important role in several tumors, however, their impact on EC development and progression remains unclear. Methods: Machine learning methods were used to investigate the importance of STAT5B in EC. Results: Hence, we explored the UALCAN data mining platform and found that while STAT1 and STAT2 were upregulated, STAT5A, STAT5B, and STAT6 were downregulated in EC. This… More >

YU LU¹, TSUTOMU MIYAMOTO^1,*, HODAKA TAKEUCHI¹, FUMI TSUNODA¹, NAOKI TANAKA^2,3,4, TANRI SHIOZAWA¹

Oncology Research, Vol.31, No.3, pp. 239-253, 2023, DOI:10.32604/or.2023.026067

Abstract Endometrial carcinoma (EMC) is associated with obesity; however, the underlying mechanisms have not yet been elucidated. Peroxisome proliferator-activated receptor alpha (PPARα) is a nuclear receptor that is involved in lipid, glucose, and energy metabolism. PPARα reportedly functions as a tumor suppressor through its effects on lipid metabolism; however, the involvement of PPARα in the development of EMC remains unclear. The present study demonstrated that the immunohistochemical expression of nuclear PPARα was lower in EMC than in normal endometrial tissues, suggesting the tumor suppressive nature of PPARα. A treatment with the PPARα activator, irbesartan, inhibited the EMC cell lines, Ishikawa and… More >

YANYA CHEN^1,#, HONGYUAN WU^2,#, RUISI ZHOU^5,#, HELING DONG⁴, XUEFANG ZHANG², XUEWEI WU¹, WENSHAN CHEN¹, YANTING YOU^5,*, YIFEN WU^3,*

BIOCELL, Vol.47, No.6, pp. 1353-1364, 2023, DOI:10.32604/biocell.2023.027346

Abstract Background: The relationship between microRNA (miRNA) expression patterns and tumor mutation burden (TMB) in uterine corpus endometrial carcinoma (UCEC) was investigated in this study. Methods: The UCEC dataset from The Cancer Genome Atlas (TCGA) database was used to identify the miRNAs that differ in expression between high TMB and low TMB sample sets. The total sample sets were divided into a training set and a test set. TMB levels were predicted using miRNA-based signature classifiers developed by Lasso Cox regression. Test sets were used to validate the classifier. This study investigated the relationship between a miRNA-based signature classifier and three… More >

XI YANG¹, KE MA^1,*, RUI CHEN¹, NAIYI ZHANG², YITING MENG³, JIA WEN¹, QINPING LIAO¹

BIOCELL, Vol.45, No.4, pp. 923-932, 2021, DOI: 10.32604/biocell.2021.013625

Abstract The current study is designed to evaluate certain immunocytochemical (ICC) biomarkers to gain a better cytodiagnosis. For this purpose, 85 patients from March 2016 to March 2019 who planned to get a hysteroscopy assay were recruited. Cytological sampling was conducted by scratching the uterus cavity using SAP-1, and the samples were processed as liquid-based smears, using SurePath technology. 36 patients diagnosed with EC or atypical endometrial hyperplasia were recruited in this study. 33 cases were diagnosed with EC, and 3 cases were diagnosed with atypical endometrial hyperplasia, allocated with EC or precancerous lesions group. 26 cases were diagnosed with benign… More >