Objective: To assess the surgical management and survival of severely obese patients with high-risk endometrial cancer.
Materials And Methods: Data from 269 patients with high-risk endometrial cancer who were treated between 2001 and 2018 were collected from a multicenter database (11 centers). We classified the patients according to their BMI and compared outcomes in two groups: a normal weight group of women with a BMI < 25 kg/m, and a severe obesity group of women with a BMI ≥ 35 kg/m. The groups were compared for epidemiologic, pathologic, management, relapse-free survival (RFS) and overall survival (OS) elements.
Results: Patients in the severe obesity group were younger (64 years vs. 68 years, p < 0.05) and had more comorbidities (hypertension, diabetes). They also had more locally advanced tumors and pelvic lymph node involvement (47% vs 24%, p < 0.05). The severely obese patients were less likely to undergo recommended surgical staging, with fewer lumbar aortic dissections than women of normal weight (23% vs 36%, p < 0.05) and fewer pelvic sentinel lymph node biopsies (26.5% vs 12.1%, p < 0.05). No difference in RFS or OS were observed between the two groups.
Conclusion: Patients with severe obesity and high-risk endometrial cancer have more locally advanced tumors, and are less likely to be managed according to surgical recommendations. However, RFS and OS do not seem to be affected.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jogoh.2022.102429 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Latent tuberculosis prevalence in healthcare workers in Laos: a cross-sectional study.
Trop Med Health
January 2025
LaoLuxLab/Vaccine Preventable Diseases Laboratory, Institut Pasteur du Laos, Vientiane, Laos.
Background: Individuals with latent tuberculosis infection (LTBI) have a high risk of active infection, morbidity and mortality. Healthcare workers are a group who have increased risk of infection and onward transmission to their patients and other susceptible individuals; however, LTBI is often undiagnosed, and individuals are asymptomatic. Interferon gamma release assays (IGRA) can detect evidence of TB infection in otherwise asymptomatic individuals and are a good indication of LTBI.
View Article and Find Full Text PDFA machine learning-based model to predict POD24 in follicular lymphoma: a study by the Chinese workshop on follicular lymphoma.
Biomark Res
January 2025
Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, P.R. China.
Background: Disease progression within 24 months (POD24) significantly impacts overall survival (OS) in patients with follicular lymphoma (FL). This study aimed to develop a robust predictive model, FLIPI-C, using a machine learning approach to identify FL patients at high risk of POD24.
Methods: A cohort of 1,938 FL patients (FL1-3a) from seventeen centers nationwide in China was randomly divided into training and internal validation sets (2:1 ratio).
Prominent efficacy and good safety of sequential CD19 and CD22 CAR-T therapy in relapsed/refractory adult B-cell acute lymphoblastic leukemia.
Exp Hematol Oncol
January 2025
Bone Marrow Transplantation Center of The First Affiliated Hospital Liangzhu Laboratory, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, Zhejiang, China.
Background: Sequential CD19 and CD22 chimeric antigen receptor (CAR)-T cell therapy offers a promising approach to antigen-loss relapse in relapsed/refractory (R/R) B-cell acute lymphoblastic leukemia (B-ALL); however, research in adults remains limited.
Methods: This study aimed to evaluate the efficacy and safety of sequential CD19 and CD22 CAR-T cell therapy in adult patients with R/R B-ALL between November 2020 and November 2023 (ChiCTR2100053871). Key endpoints included the adverse event incidence, overall survival (OS), and leukemia-free survival (LFS).
Advancing therapeutic strategies for graft-versus-host disease by targeting gut microbiome dynamics in allogeneic hematopoietic stem cell transplantation: current evidence and future directions.
Mol Med
January 2025
Department of Laboratory Medicine, The Affiliated People's Hospital, Jiangsu University, No. 8 Dianli Road, Zhenjiang, 212002, Jiangsu, People's Republic of China.
Hematopoietic stem cell transplantation (HSCT) is a highly effective therapy for malignant blood illnesses that pose a high risk, as well as diseases that are at risk due to other variables, such as genetics. However, the prevalence of graft-versus-host disease (GVHD) has impeded its widespread use. Ensuring the stability of microbial varieties and associated metabolites is crucial for supporting metabolic processes, preventing pathogen intrusion, and modulating the immune system.
View Article and Find Full Text PDFRandomized controlled trials (RCTs) evaluating anti-cancer agents often lack generalizability to real-world oncology patients. Although restrictive eligibility criteria contribute to this issue, the role of selection bias related to prognostic risk remains unclear. In this study, we developed TrialTranslator, a framework designed to systematically evaluate the generalizability of RCTs for oncology therapies.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!