Kai Wang

HD-ALP fluorescent probe: a high-sensitivity tool for alkaline phosphatase imaging and preclinical diagnosis in three ovarian cancer models

A schematic overview of the FL probe HD-ALP designed for dynamic tracking of ALP activity in the different ovarian cells and models.

Plasma exosomes from endometrial cancer patients contain LGALS3BP to promote endometrial cancer progression

Endometrial cancer (EC) is a common gynaecological cancer worldwide. Exosomes, secreted by living cells and detected in various body fluids, can exchange information between organs and compartments to affect cellular functions, such as proliferation, apoptosis, migration and angiogenesis. We hypothesise that plasma exosomal contents are altered during cancer progression and promote cancer growth and angiogenesis by delivering biomolecules to cancer and vascular endothelial cells. In this study, circulating exosomes derived from EC patients and age-matched healthy people were acquired by commercial kits. Cell counting kit-8, Transwell and Matrigel tube formation assays showed that circulating exosomes from EC patients promote EC cell growth and human umbilical vein endothelial cell (HUVEC) angiogenesis. Next, proteomic analysis and ELISA revealed that plasma exosomal lectin galactoside-binding soluble 3 binding protein (LGALS3BP) increased during EC progression. Moreover, to explore the function of exosomal LGALS3BP, we acquired exosomes containing high levels of LGALS3BP by overexpressing LGALS3BP in human embryonic kidney 293 cells, and we demonstrated that highly contained exosomal LGALS3BP contributed to EC cell proliferation and migration and HUVEC functions via the activation of the PI3K/AKT/VEGFA signalling pathway both in vitro and in vivo. Finally, high LGALS3BP expression was observed in human EC tissue, which indicated a poor prognosis. In addition, immunohistochemical analysis of human EC tissues revealed that LGALS3BP expression was correlated with VEGFA expression and blood vessel density. Hence, we proposed that plasma exosomes containing LGALS3BP contributed to EC growth and angiogenesis during EC progression, which also provided a novel perspective on EC diagnosis and prognosis.

Factors associated with CIN2–3 recurrence: A single center retrospective analysis

Cervical intraepithelial neoplasia, grade 2-3 (CIN2-3), classified as histologic high-grade squamous intraepithelial lesion (HSIL), is associated with a higher recurrence rate and an increased risk of developing cervical cancer. The predictive and influencing factors for CIN2+ relapse are still uncertain and controversial. This study aims to further clarify the risk factors of CIN 2-3 recurrence. The retrospective cohort study enrolled 142 patients with CIN 2-3, aged between 20 to 60 years, all of whom received treatments to remove the lesions. All patients were followed for at least two years to assess outcomes. The primary outcome indicators were high-risk HPV (HR-HPV) status and cervical lesions status within two years after treatment. Fisher's exact test or Pearson's chi-squared test and the Kruskal-Wallis (K-W/H) test were used for univariate analysis. Logistic regression analysis was applied to identify independent risk factors, and the results were presented using a forest plot. The study found no significant differences in basic characteristics and HR-HPV status, except for parity (

Building a Circular RNA Centered Gene Regulation Network Associated with Cervical Squamous Cell Carcinoma

G2 and S phase‐expressed‐1 acts as a putative tumor promoter in cervical cancer by enhancing Wnt/β‐catenin signaling via modulation of GSK‐3β

AbstractG2 and S phase‐expressed‐1 (GTSE1) is currently identified as a key regulator of carcinogenesis. However, the involvement of GTSE1 in cervical cancer is unclear. The aims of this work were to explore the relationship between GTSE1 and cervical cancer. Our data elucidated high GTSE1 expression in cervical cancer tissue, which predicted a poor prognosis in cervical cancer patients. GTSE1 knockdown had tumor‐suppressive effects in cervical cancer cells by inhibiting cell proliferative and invasive abilities. GTSE1 knockdown decreased the level of phosphorylated glycogen synthase kinase‐3β (GSK‐3β) and active β‐catenin, resulted in inactivation of Wnt/β‐catenin signaling. Suppression of GSK‐3β remarkably abolished the GTSE1‐knockdown‐induced inhibitory effects on Wnt/β‐catenin signaling. Suppression of Wnt/β‐catenin signaling abolished the GTSE1‐overexpression‐induced oncogenic effects. Notably, GTSE1 knockdown impeded the in vivo tumorigenicity of cervical cancer cells. In short, this work demonstrates that GTSE1 is overexpressed in cervical cancer and GTSE1 suppression exerts a tumor‐inhibiting role in cervical cancer by down‐regulating Wnt/β‐catenin signaling. Our work underlines a crucial relevance between GTSE1 and cervical cancer progression and suggests GTSE1 as a promising therapeutic target for cervical cancer.

Diagnosis Test Accuracy of Artificial Intelligence for Endometrial Cancer: Systematic Review and Meta-Analysis

Background Endometrial cancer is one of the most common gynecological tumors, and early screening and diagnosis are crucial for its treatment. Research on the application of artificial intelligence (AI) in the diagnosis of endometrial cancer is increasing, but there is currently no comprehensive meta-analysis to evaluate the diagnostic accuracy of AI in screening for endometrial cancer. Objective This paper presents a systematic review of AI-based endometrial cancer screening, which is needed to clarify its diagnostic accuracy and provide evidence for the application of AI technology in screening for endometrial cancer. Methods A search was conducted across PubMed, Embase, Cochrane Library, Web of Science, and Scopus databases to include studies published in English, which evaluated the performance of AI in endometrial cancer screening. A total of 2 independent reviewers screened the titles and abstracts, and the quality of the selected studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies—2 (QUADAS-2) tool. The certainty of the diagnostic test evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. Results A total of 13 studies were included, and the hierarchical summary receiver operating characteristic model used for the meta-analysis showed that the overall sensitivity of AI-based endometrial cancer screening was 86% (95% CI 79%-90%) and specificity was 92% (95% CI 87%-95%). Subgroup analysis revealed similar results across AI type, study region, publication year, and study type, but the overall quality of evidence was low. Conclusions AI-based endometrial cancer screening can effectively detect patients with endometrial cancer, but large-scale population studies are needed in the future to further clarify the diagnostic accuracy of AI in screening for endometrial cancer. Trial Registration PROSPERO CRD42024519835; https://www.crd.york.ac.uk/PROSPERO/view/CRD42024519835