ArticleFrontiers in oncology2021
Identification of Predictive Biomarkers for Lymph Node Involvement in Obese Women With Endometrial Cancer.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 20 citations in OpenAlex.
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- Inhibition of FKBP5 alleviates obstetric antiphospholipid syndrome by regulating macrophage polarization.Scientific reports · 2025Article
- Identification of gene signatures associated with lactation for predicting prognosis and treatment response in breast cancer patients through machine learning.Scientific reports · 2025Article
- Epigenetic mechanisms underlying endometrial cancer outcomes: race-specific patterns of DNA methylation associated with molecular subtypes and survival.Carcinogenesis · 2025Article
- CXCL14 in prostate cancer: complex interactions in the tumor microenvironment and future prospects.Journal of translational medicine · 2025Review
- Prevention of liver metastasis via the pharmacological suppression of AMIGO2 expression in tumor cells.Scientific reports · 2024Article
- Unveiling the oncogenic role of LZTS1 in colorectal cancer.Journal of cellular and molecular medicine · 2024Article
- Plasma cell signatures predict prognosis and treatment efficacy for lung adenocarcinoma.Cellular oncology (Dordrecht, Netherlands) · 2024Article
- Potential Candidate Genes for Therapeutic Targeting in Chronic Myeloid Leukemia: A Pilot Study.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- In Silico Analysis of Publicly Available Transcriptomic Data for the Identification of Triple-Negative Breast Cancer-Specific Biomarkers.Life (Basel, Switzerland) · 2023Article
- Identification of bicalutamide resistance-related genes and prognosis prediction in patients with prostate cancer.Frontiers in endocrinology · 2023Article
- Genetic alterations in juvenile cervical clear cell adenocarcinoma unrelated to human papillomavirus.Frontiers in medicine · 2023Article
- Applying machine learning algorithms to develop a survival prediction model for lung adenocarcinoma based on genes related to fatty acid metabolism.Frontiers in pharmacology · 2023Article
- A Cell Differentiation Trajectory-Related Signature for Predicting the Prognosis of Lung Adenocarcinoma.Genetics research · 2022Article
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Authors and funding
11 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obesity, an established risk factor for endometrial cancer (EC), is also associated to increased risks of intraoperative and postoperative complications. A reliable tool to identify patients at low risk for lymph node (LN) metastasis may allow minimizing the surgical staging and omit lymphadenectomy in obese patients. To identify molecular biomarkers that could predict LN involvement in obese patients with EC we performed gene expression analysis in 549 EC patients using publicly available transcriptomic datasets. Patients were filtrated according to cancer subtype, weight (>30 kg/m
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