Results 101 to 110 of about 3,374,023 (302)
Background A previous report showed that a glucagon-like peptide-1 receptor (GLP-1R) agonist (exenatide) induced apoptosis in endometrial cancer cells.
Ranka Kanda +9 more
doaj +1 more source
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin +6 more
wiley +1 more source
This review focuses on the field of endometrial cancer. Since 2020, there have been 417,367 new cases of endometrial cancer diagnosed globally and 97,370 deaths reported.
Bingyan Liang +10 more
doaj +1 more source
17β-Estradiol promotes endometrial cancer proliferation and invasion through IL-6 pathway
Accumulating evidence revealed that the leading risk factor of endometrial cancer is exposure to endogenous and exogenous estrogens, while the exact mechanism underlying estrogen contribution to endometrial cancer progression has not been elucidated ...
Qi Che +6 more
doaj +1 more source
A subset of tumor‐associated macrophages (TAMs) characterized by SPP1 expression is discovered, which may remodel the tumor microenvironment by potentially promoting CD4+ T cell stress and maintaining epithelial cell stemness through SPP1‐CD44, thereby potentially contributing to the proliferation and migration of tumor cells, which has been verified ...
Xinhui Yuan +5 more
wiley +1 more source
Tumor-suppressor role of miR-139-5p in endometrial cancer
Background Endometrial cancer (EC) is the fourth most common malignancy of the female genital tract worldwide. MicroRNAs are important gene regulators with critical roles in diverse biological processes, including tumorigenesis. Several study’s show that
JinHui Liu +5 more
doaj +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Family history of cancer and the risk of endometrial cancer
To investigate the relationship between family history of cancer in first-degree relatives and the risk of endometrial cancer, we carried out a large multicentre case-control study in Italy between 1992 and 2006, including 454 endometrial cancer cases ...
E. Negri +7 more
core +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
Endometrial cancer affects patients at every age, however it occurs more frequently in menopause (> 50) and in postmenopause (> 70). The most frequent symptoms are bleeding and vaginal discharge. When hematometra or pyometra is present the patient may feel pain. In some cases endometrial adenocarcinoma is asymptomatic and the diagnosis is casually made
MARCHETTI M. +2 more
openaire +2 more sources

