A5060457943- Proteoglycans and glycosaminoglycans research
- Glycosylation and Glycoproteins Research
- Reproductive System and Pregnancy
- Chronic Lymphocytic Leukemia Research
- Peptidase Inhibition and Analysis
- Plant Stress Responses and Tolerance
- FOXO transcription factor regulation
- Advanced Breast Cancer Therapies
- Ovarian cancer diagnosis and treatment
- Signaling Pathways in Disease
- Cancer Immunotherapy and Biomarkers
- Epigenetics and DNA Methylation
- Inflammatory Biomarkers in Disease Prognosis
Air Force Medical University
2023-2024
Xijing Hospital
2021-2024
Epithelial ovarian cancer (EOC) is one of the deadliest gynaecological malignancies worldwide. The aim this retrospective study was to create a predictive scoring model based on simple immunological and inflammatory parameters predict overall survival (OS) progression-free (PFS) in patients with EOC. We obtained 576 EOC randomly assigned them training set (n = 405) validation 171) ratio 7:3. retrospectively evaluated association between PIV OS PFS using novel immunoinflammatory marker,...
Background Ovarian cancer (OC) is the most lethal gynecological tumor, but it currently lacks effective therapeutic targets. CD147, which overexpressed in OC, plays a crucial role promoting malignant progression and associated with poor prognosis patients. Therefore, CD147 has been identified as potential target. While strategies to knock out or inhibit have shown promising results various tumors, there limited amount of research on development inhibitors.
Ovarian cancer is insensitive to immunotherapy and has a high mortality rate. CDK4/6 inhibitors (CDK4/6i) regulate the tumor microenvironment play an antitumor role. Our previous research demonstrated that lymphocyte aggregation (tertiary lymphoid structures, TLSs) was observed after CDK4/6i treatment. This may explain synergistic action of with anti-PD1 antibody. However, key mechanism by which promotes TLS formation not been elucidated. We examine link between prognosis. Animal models...
Background: CD44 is highly expressed in ovarian cancer. Its interaction with ligands contributes to tumor progression and metastasis. The mechanism of the cancer remains uncertain. Methods: We conducted an analysis public databases identify differential genes richment pathway associated Cytology experiments were performed using knockdown cells. RNA sequencing was employed compare differentially gene expression between SKOV3 cells control cells, which subsequently subjected functional...
Abstract Background: CD44 is highly expressed in many cancers, including ovarian cancer. Its interactions with ligands are involved tumor progression, prognosis, and metastasis. However, the function of advancement cancer remains unclear. Methods Results: RNA sequencing was used to investigate possible molecules pathways regulated by compare gene expression CD44-knockdown SKOV3 cells control cells. Identify differentially genes then proceed functional enrichment analysis. The results showed...