OBJECTIVE: To evaluate the prognostic significance of and predictive factors for adnexal involvement (AI) in patients with endometrial carcinoma. METHODS: We retrospectively reviewed the pathological features and outcomes of endometrial carcinoma patients. The prognostic significance of AI was examined by univariate and multivariate analyses. Median follow-up was 30.7 months. RESULTS: Of the 382 cases reviewed, 40 (10.5%) had AI. Patients with AI had a worse 5-year disease-free (DFS) survival (73.1 vs 37.1%, P < 0.0001) than patients without AI. However, patients with AI had multiple adverse features, including high grade disease, lymphovascular invasion, and additional sites of extrauterine disease. After controlling for these factors on multivariate analysis, AI lost its prognostic significance (P = 0.56). The 12 AI patients without other extrauterine disease had a favorable outcome (5-year DFS of 70.9%). Factors predictive of AI on logistic regression were metastatic disease, positive peritoneal washings, cervical involvement, and unfavorable histology. CONCLUSION: Endometrial carcinoma patients with AI have relatively poor prognoses. However, AI per se has little, if any, independent prognostic significance. The poor outcomes seen in these patients appear to result from the preponderance of other adverse pathologic factors. Copyright 1999 Academic Press.
OBJECTIVE: To evaluate the prognostic significance of and predictive factors for adnexal involvement (AI) in patients with endometrial carcinoma. METHODS: We retrospectively reviewed the pathological features and outcomes of endometrial carcinomapatients. The prognostic significance of AI was examined by univariate and multivariate analyses. Median follow-up was 30.7 months. RESULTS: Of the 382 cases reviewed, 40 (10.5%) had AI. Patients with AI had a worse 5-year disease-free (DFS) survival (73.1 vs 37.1%, P < 0.0001) than patients without AI. However, patients with AI had multiple adverse features, including high grade disease, lymphovascular invasion, and additional sites of extrauterine disease. After controlling for these factors on multivariate analysis, AI lost its prognostic significance (P = 0.56). The 12 AI patients without other extrauterine disease had a favorable outcome (5-year DFS of 70.9%). Factors predictive of AI on logistic regression were metastatic disease, positive peritoneal washings, cervical involvement, and unfavorable histology. CONCLUSION:Endometrial carcinomapatients with AI have relatively poor prognoses. However, AI per se has little, if any, independent prognostic significance. The poor outcomes seen in these patients appear to result from the preponderance of other adverse pathologic factors. Copyright 1999 Academic Press.
Authors: Nicole Concin; Carien L Creutzberg; Ignace Vergote; David Cibula; Mansoor Raza Mirza; Simone Marnitz; Jonathan A Ledermann; Tjalling Bosse; Cyrus Chargari; Anna Fagotti; Christina Fotopoulou; Antonio González-Martín; Sigurd F Lax; Domenica Lorusso; Christian Marth; Philippe Morice; Remi A Nout; Dearbhaile E O'Donnell; Denis Querleu; Maria Rosaria Raspollini; Jalid Sehouli; Alina E Sturdza; Alexandra Taylor; Anneke M Westermann; Pauline Wimberger; Nicoletta Colombo; François Planchamp; Xavier Matias-Guiu Journal: Virchows Arch Date: 2021-02 Impact factor: 4.064
Authors: Jan J Jobsen; Lambert Naudin Ten Cate; Marnix L M Lybeert; Astrid Scholten; Elzbieta M van der Steen-Banasik; Job van der Palen; Marika C Stenfert Kroese; Annerie Slot; Eltjo M J Schutter; Sabine Siesling Journal: Obstet Gynecol Int Date: 2011-05-04
Authors: Mee Sun Yoon; Seung Jae Huh; Hak Jae Kim; Young Seok Kim; Yong Bae Kim; Joo-Young Kim; Jong-Hoon Lee; Hun Jung Kim; Jihye Cha; Jin Hee Kim; Juree Kim; Won Sup Yoon; Jin Hwa Choi; Mison Chun; Youngmin Choi; Kang Kyoo Lee; Myungsoo Kim; Jae-Uk Jeong; Sei Kyung Chang; Won Park Journal: Cancer Res Treat Date: 2015-10-29 Impact factor: 4.679
Authors: Alba Mota; Sara S Oltra; Pier Selenica; Cristian P Moiola; Carlos Casas-Arozamena; Carlos López-Gil; Eva Diaz; Sonia Gatius; María Ruiz-Miro; Ana Calvo; Alejandro Rojo-Sebastián; Pablo Hurtado; Roberto Piñeiro; Eva Colas; Antonio Gil-Moreno; Jorge S Reis-Filho; Laura Muinelo-Romay; Miguel Abal; Xavier Matias-Guiu; Britta Weigelt; Gema Moreno-Bueno Journal: Oncogene Date: 2022-02-10 Impact factor: 9.867