Xianbiao Shi, Xiaoqiao Tang, Lei Su

Oncology Research, Vol.26, No.6, pp. 869-878, 2018, DOI:10.3727/096504017X15123838050075

Abstract This study aimed to investigate the effect of long noncoding RNA PTENP1 in the development of breast cancer (BC). Quantitative real-time PCR was utilized to determine the expression of PTENP1 in tissues and cell lines. pcDNA3.1 and shRNA were used to over- and low-express PTENP1 in BC cell lines, and miR-19b mimic and inhibitor were utilized to over- and low-express miR-19b. Then the abilities of cell survival, apoptosis, migration, and invasion were assessed in BC cells with different expression levels of PTENP1 and miR-19b. The expression of PTENP1 was significantly downregulated in both BC tissues More >

HONGQIANG ZHAO^1,2, QI LIU³, HAORUN LIU³, WEIMIN LI^3,*, JIANGYANG LU^1,*

BIOCELL, Vol.46, No.5, pp. 1299-1308, 2022, DOI:10.32604/biocell.2022.017217

Abstract HMGN2 have functions in inflammatory response. However, the role of HMGN2 in severe acute pancreatitis (SAP) remains unclear. Here, our study was to discuss the role and regulatory mechanism ofHMGN2 in SAP. In this study, the SAP cell model of AR42J was used to study the function and mechanism of HMGN2 in SAP. The protein expression in cells and serums were examined by western blot and ELISA assay. qPCR was used to test the transcriptional RNA level. Cell viability were examined by MTT assay. Luciferase assay was used to evaluate the interaction between gene and… More >

YONGHUI YU^1,#, SONGHUI XU^2,#, ERYONG ZHAO^3,#, YONGSHUN DONG¹, JINBIN CHEN¹, BOQI RAO¹, JIE ZENG⁴, LEI YANG¹, JIACHUN LU¹, FUMAN QIU^1,4,*

BIOCELL, Vol.46, No.4, pp. 999-1011, 2022, DOI:10.32604/biocell.2022.017004

Abstract The outcomes of ovarian cancer are complicated and usually unfavorable due to their diagnoses at a late stage. Identifying the efficient prognostic biomarkers to improve the survival of ovarian cancer is urgently warranted. The survival-related pseudogenes retrieved from the Cancer Genome Atlas database were screened by univariate Cox regression analysis and further assessed by least absolute shrinkage and selection operator (LASSO) method. A risk score model based on the prognostic pseudogenes was also constructed. The pseudogene-mRNA regulatory networks were established using correlation analysis, and their potent roles in the ovarian cancer progression were uncovered by… More >