We evaluated the association between risk factors for endometrial cancer (EC) and sonographic endometrial thickness (ET) with FIGO stages at diagnosis. We also reported our experience in reliability of sonographic ET as screening tool for either histologic subtype I and II of EC. It was a case series study including 339 patients diagnosed with EC from 2010 to 2017 at the Ipswich Hospital, UK. Women with higher body mass index (BMI) presented at earlier stages when compared to women with lower BMIs (-value = .046). By contrast, none of the variables: parity (-value = .1630), use of HRT (-value 0.7448), tamoxifen (p-value 0.0733) and diabetes (p-value = .1665) were statistically associated to FIGO stages. The mean of ET measurement was not statistically significant associated (-value 0.0625) to stages. There was no statistic difference on mean ET at diagnosis between histologic subtypes I or II (-value 0.804). According to our experience, BMI is associated to FIGO stage and endometrial sampling (ES) should be included in the working diagnosis of EC to obtain an early diagnosis in women with high BMIs even in premenopausal. Ultrasonographic measurement of the endometrium is equally reliable at determining cancer, but not at differentiating histologic subtypes I and II uterine cancers. However, ET does not correlate to FIGO stages at diagnosis.
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http://dx.doi.org/10.1016/j.gore.2019.100491 | DOI Listing |
Front Oncol
January 2025
Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Background: Understanding the risk factors for early recurrence is crucial for improving endometrial cancer (EC) patient outcomes.
Methods: We conducted a retrospective analysis of clinicopathological data from 473 patients diagnosed with EC at the First Affiliated Hospital of Chongqing Medical University between October 2013 and May 2019. We evaluated factors influencing early recurrence(defined as occurring within 12 months after treatment) based on 2023 International Federation of Gynecology and Obstetrics (FIGO) staging system.
EClinicalMedicine
January 2025
Department of Clinical Genetics, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
Background: Female Lynch syndrome carriers have an increased risk of developing endometrial cancer. Regardless, research on endometrial carcinoma tumorigenesis is scarce and no uniform, evidence-based gynaecological management guidelines exist. We therefore described gynaecological surveillance and surgery outcomes in a nation-wide Lynch syndrome cohort.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Gynecologic Oncology, Fudan University Shanghai Cancer Centre, Shanghai, China.
Background: To assess the utility of the TCGA molecular classification of endometrial cancer in a well-annotated, moderately sized, consecutive cohort of Chinese patients with ovarian clear cell carcinoma (OCCC).
Methods: We performed DNA sequencing on 80 OCCC patients via a panel that contains 520 cancer-related genes. The TCGA molecular subtyping method was utilized for classification.
Int J Clin Oncol
January 2025
Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, 54 Kawahara-Cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
Background: In 2018, the International Federation of Gynecology and Obstetrics (FIGO) revised its cervical cancer staging system to enhance clinical relevance, notably by categorizing lymph node metastases (LNM) as an independent stage IIIC. This multicenter study evaluates the prognostic implications of the FIGO 2018 classification within a Japanese cohort.
Methods: This study included 1468 patients with cervical cancer.
Prz Menopauzalny
December 2024
Department of Surgical and Endoscopic Gynecology, Medical University of Lodz, Lodz, Poland.
Introduction: Ovarian cancer is a significant cause of death among females. MiRNAs, particularly the miR-196 family, can influence tumor progression by targeting specific pathways. Detecting ovarian cancer early is challenging, highlighting the need for additional biomarkers such as miRNAs to improve diagnosis and treatment strategies.
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