Hua Duan

Upregulated Talin1 synergistically boosts β-estradiol-induced proliferation and pro-angiogenesis of eutopic and ectopic endometrial stromal cells in adenomyosis

AbstractAdenomyosis (ADS) is an estrogen-dependent gynecological disease with unspecified etiopathogenesis. Local hyperestrogenism may serve a key role in contributing to the origin of ADS. Talin1 is mostly identified to be overexpressed and involved in the progression of numerous human carcinomas through mediating cell proliferation, adhesion and motility. Whether Talin1 exerts an oncogenic role in the pathogenesis of ADS and puts an extra impact on the efficacy of estrogen, no relevant data are available yet. Here we demonstrated that the adenomyotic eutopic and ectopic endometrial stromal cells (ADS_Eu_ESC and ADS_Ec_ESC) treated with β-estradiol (β-E2) presented stronger proliferative and pro-angiogenetic capacities, accompanied by increased expression of PCNA, Ki67, VEGFB and ANGPTL4 proteins. Meanwhile, these promoting effects were partially abrogated by Fulvestrant (ICI 182780, an estrogen-receptor antagonist). Aberrantly upregulation of Talin1 mRNA and protein level was observed in ADS endometrial specimens and stromal cells. Through performing functional experiments in vitro, we further determined that merely overexpression of Talin1 (OV-Talin1) also enhanced ADS stromal cell proliferation and pro-angiogenesis, while the most pronounced facilitating effects were found in the co-intervention group of OV-Talin1 plus β-E2 treatment. Results from the xenograft nude mice model showed that the hypodermic endometrial lesions from co-intervention group had the highest mean weight and volume, compared with that of individual OV-Talin1 or β-E2 treatment. The expression levels of PCNA, Ki67, VEGFB and ANGPTL4 in the lesions were correspondingly elevated the most in the co-intervention group. Our findings unveiled that overexpressed Talin1 might cooperate withβ-E2 in stimulating ADS endometrial stromal cell proliferation and neovascularization, synergistically promoting the growth and survival of ectopic lesions. These results may be beneficial to provide a new insight for clarifying the pathogenesis of ADS.

Application of hysteroscopic morphology in endometrial cancer diagnosis and fertility preservation: scientific insights and clinical artistry

Endometrial cancer (EC) is one of the most common gynecologic malignancies, with rising incidence in younger women. Given the favorable prognosis of early-stage disease, accurate diagnosis and effective fertility-preserving strategies are increasingly important. Hysteroscopy, enabling direct visualization of intrauterine lesions, plays a key role in both diagnosis and conservative management. This review summarizes current evidence on hysteroscopic morphological features of EC and their clinical significance. Classification based on surface architecture and atypical vascular patterns − such as glomerular and cerebroid types − provides early clues to tumor grade and prognosis. Tumor spread patterns (focal vs. diffuse) correlate with staging and survival outcomes, while hysteroscopic scoring systems enhance diagnostic precision. In fertility-preserving treatment, combining hysteroscopic resection with progestin therapy significantly improves complete remission rates and shortens treatment duration. Assisted reproductive technology further increases pregnancy and live birth outcomes post-remission. Molecular classification enables more tailored fertility-sparing strategies. Advances in imaging − such as narrow-band imaging and 5-aminolevulinic acid photodynamic diagnosis − enhance lesion detection by improving vascular visualization. Artificial intelligence–based hysteroscopic image analysis supports consistent lesion classification and fertility outcome prediction. Although concerns remain regarding retrograde dissemination, evidence affirms the safety and efficacy of hysteroscopy when properly performed. Hysteroscopic morphology, integrated with molecular profiling and advanced imaging technologies, represents a valuable and minimally invasive approach to personalized diagnosis and fertility preservation in EC.

The Comprehensive Analysis of Interferon-Related Prognostic Signature with regard to Immune Features in Ovarian Cancer

Interferon plays an important role in immune response of ovarian cancer. However, the expression pattern of interferon in ovarian cancer remains unclear. This study is aimed at exploring the expression profile of interferon-relate genes and constructing an interferon-based prognostic signature in ovarian cancer. The ovarian cancer samples collected from TCGA database were viewed as the training set, and ovarian cancer samples collected from GEO datasets were used as the independent validation sets. Univariate Cox regression analysis and multivariate Cox regression analysis were used to construct interferon-related signature, which worked as independent prognostic factor. Bioinformatics based on David software, GSEA, and R software were used to investigate the relationship between immune status and the signature in ovarian cancer. The signature showed close correlation with the status for ovarian cancer immune microenvironment, which might provide the possibility for clinical targeted therapy.