Literature DB >> 23770577

Histological and immunohistochemical profiles predict lymph node status in women with low-intermediate risk endometrial cancer.

Marcos Ballester1, Geoffroy Canlorbe, Annie Cortez, Julie Gonin, Enora Laas, Sofiane Bendifallah, Olivier Graesslin, Emile Daraï.   

Abstract

OBJECTIVE: The aim of this study was to build a model to predict the risk of lymph node metastases (LNM) in women with low- or intermediate-risk endometrial cancer (EC) using histological and immunohistochemical markers.
METHODS: Samples were collected from 68 women with low- or intermediate-risk EC. European Society of Medical Oncology (ESMO) risk group, lymphovascular space involvement (LVSI), immunostaining expressions of Estrogen receptor (ER) and Progesteron receptor (PR) were used to build a recursive partitioning model to predict final lymph node status.
RESULTS: The number of women with final low- and intermediate risk EC was 34 (50%) each. LVSI was present in 7 women with low-risk (20%) and 28 (80%) with intermediate-risk EC. Nineteen women (28%) had LNM at final histology. A lower immunostaining of ER (p=0.02) and PR (p=0.03) was found in women with LNM compared with those without. Women were correctly classified by the model in 87% of cases; among the 56 women without LNM that were predicted, 48 (86%) had no LNM at final histology. Among the 12 women with LNM predicted, 11 (92%) had LNM at final histology.
CONCLUSIONS: Our results show that lymph node status can be predicted with a relatively high accuracy in women with low- or intermediate-risk EC. This can help physicians to better adapt surgical staging and adjuvant therapies.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Endometrial cancer; Histology; Immunohistochemistry; Low/intermediate risk; Lymph node metastases; Predictive model

Mesh:

Substances:

Year:  2013        PMID: 23770577     DOI: 10.1016/j.ygyno.2013.06.001

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  11 in total

Review 1.  Role of nuclear progesterone receptor isoforms in uterine pathophysiology.

Authors:  Bansari Patel; Sonia Elguero; Suruchi Thakore; Wissam Dahoud; Mohamed Bedaiwy; Sam Mesiano
Journal:  Hum Reprod Update       Date:  2014-11-18       Impact factor: 15.610

2.  Developing a validated nomogram for predicting ovarian metastasis in endometrial cancer patients: a retrospective research.

Authors:  Peishu Liu; Xiaolei Zhang; Xiaodie Liu; Yaohai Wu
Journal:  Arch Gynecol Obstet       Date:  2021-09-08       Impact factor: 2.344

3.  Estrogen Receptor- And Progesterone Receptor-Positive Thresholds in Predicting the Recurrence of Early Low-Risk Endometrial Cancer.

Authors:  Ning Li; Peng Jiang; Yuzhen Huang; Yuan Tu; Wei Kong; Shan Jiang; Jingni Zhang; Yijun Wu; Xiaorong Zhang; Qingning Xie; Rui Yuan
Journal:  Clin Med Insights Oncol       Date:  2022-06-15

4.  Analysis of Factors Related to Lymph Node Metastasis in Early-Stage Type 1 Endometrial Cancer: Verifying the Clinical Value of Positive Threshold of the Immunohistochemical Parameter Ki67.

Authors:  Peng Jiang; Rui Yuan
Journal:  Cancer Manag Res       Date:  2021-08-10       Impact factor: 3.989

5.  Combining Clinicopathological Parameters and Molecular Indicators to Predict Lymph Node Metastasis in Endometrioid Type Endometrial Adenocarcinoma.

Authors:  Peng Jiang; Yuzhen Huang; Yuan Tu; Ning Li; Wei Kong; Feiyao Di; Shan Jiang; Jingni Zhang; Qianlin Yi; Rui Yuan
Journal:  Front Oncol       Date:  2021-08-04       Impact factor: 6.244

Review 6.  Immunotherapy in endometrial cancer: rationale, practice and perspectives.

Authors:  Wenyu Cao; Xinyue Ma; Jean Victoria Fischer; Chenggong Sun; Beihua Kong; Qing Zhang
Journal:  Biomark Res       Date:  2021-06-16

7.  Just how accurate are the major risk stratification systems for early-stage endometrial cancer?

Authors:  S Bendifallah; G Canlorbe; P Collinet; E Arsène; F Huguet; C Coutant; D Hudry; O Graesslin; E Raimond; C Touboul; E Daraï; M Ballester
Journal:  Br J Cancer       Date:  2015-02-12       Impact factor: 7.640

8.  Predicting Lymph Node Metastasis in Endometrial Cancer Using Serum CA125 Combined with Immunohistochemical Markers PR and Ki67, and a Comparison with Other Prediction Models.

Authors:  Bingyi Yang; Boer Shan; Xiaohong Xue; Huaying Wang; Weiwei Shan; Chengcheng Ning; Qiongjie Zhou; Xiaojun Chen; Xuezhen Luo
Journal:  PLoS One       Date:  2016-05-10       Impact factor: 3.240

9.  Quantitative Measurement of Progesterone Receptor Immunohistochemical Expression to Predict Lymph Node Metastasis in Endometrial Cancer.

Authors:  Yu-Yang Hsiao; Hung-Chun Fu; Chen-Hsuan Wu; Jui Lan; Yu-Che Ou; Ching-Chou Tsai; Hao Lin
Journal:  Diagnostics (Basel)       Date:  2022-03-23

10.  A clue towards improving the European Society of Medical Oncology risk group classification in apparent early stage endometrial cancer? Impact of lymphovascular space invasion.

Authors:  S Bendifallah; G Canlorbe; E Raimond; D Hudry; C Coutant; O Graesslin; C Touboul; F Huguet; A Cortez; E Daraï; M Ballester
Journal:  Br J Cancer       Date:  2014-05-08       Impact factor: 7.640

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