Publications by authors named "Yu-Jun Gu"

Background And Aims: Tumor microenvironment plays an essential role in cancer development and progression. Cancer immunotherapy has become a promising approach for the treatment of hepatocellular carcinoma (HCC). We aimed to analyze the HCC immune microenvironment characteristics to identify immune-related genetic changes.

View Article and Find Full Text PDF

The cysteinyl aspartate protease (caspase, or CASP) gene family plays a significant role in programmed cell death, inflammation and immunity. However, the correlation between CASP family members and prognosis and tumor-infiltrating lymphocytes in different tumors has not been determined. We investigated the role of CASP genes in cancer prognosis and their relationship with clinicopathological parameters.

View Article and Find Full Text PDF
Article Synopsis
  • - This study aimed to evaluate a semiautomatic tool for measuring cervical stiffness and track changes in cervical elasticity across the three trimesters of pregnancy, specifically in women with healthy singleton pregnancies.
  • - Researchers included 217 women in the study, observing their cervical elasticity through transvaginal elastography and analyzing the variability of the measurements using statistical methods like ICC and Bland-Altman analysis.
  • - Results showed that cervical elasticity decreased and became more varied throughout pregnancy, with significant differences in cervical length observed, especially being shorter in the first trimester compared to the later stages.
View Article and Find Full Text PDF

Objectives: The aim of this study was to determine whether cervical elastographic parameters in addition to cervical length (CL) during the 3 trimesters of pregnancy would be predictive of spontaneous preterm birth (sPTB) among low-risk women.

Methods: This work was a prospective nested case-control study evaluating cervical elastographic parameters and CL in low-risk women during the 3 trimesters of pregnancy. A binary logistic regression analysis was used to calculate significant covariates for prediction of sPTB.

View Article and Find Full Text PDF