Literature DB >> 31395281

Do estrogen, progesterone, P53 and Ki67 receptor ratios determined from curettage materials in endometrioid-type endometrial carcinoma predict lymph node metastasis?

Varol Gülseren1, Mustafa Kocaer2, İsa Aykut Özdemir3, İlker Çakır4, Muzaffer Sancı4, Kemal Güngördük5.   

Abstract

AIM: Estrogen receptor (ER), progesterone receptor (PR), and Ki-67 and P53 receptor levels in endometrial curettage material were investigated for their ability to predict lymph node (LN) involvement in patients with endometrioid-type endometrial cancer (EEC).
METHODS: This retrospective study was based on a review of the records of patients who were diagnosed with EEC and underwent both hysterectomy and systematic retroperitoneal lymphadenectomy at the Gynecologic Oncology Clinic of Tepecik Training and Research Hospital, Turkey, between January 2008 and August 2017.
RESULTS: The curettage materials of 138 EEC patients were analyzed for ER, PR and P53 and Ki-67 receptor levels. According to the pathology results, the median pelvic LN count was 20 (range: 12-49) and the para-aortic LN count was 14 (10-46). Retroperitoneal LN involvement was present in 18 patients (13.0%). The association of LN involvement with all receptors was significant. The combined ratio of the 2 groups of markers ([P53 + Ki67]/[ER + PR]) (≥0.71) was an independent risk factor for LN involvement. In addition, in a univariate logistic regression analysis all receptors were significant predictors of LN involvement.
CONCLUSIONS: In the detection of LN involvement, determination of the receptor status in curettage material has a high sensitivity and specificity. In EEC patients, receptor levels in curettage materials can be evaluated to detect LN involvement preoperatively.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Endometrioid type endometrial cancer; Estrogen receptor; Lymph node involvement; Progesterone receptor

Mesh:

Substances:

Year:  2019        PMID: 31395281     DOI: 10.1016/j.currproblcancer.2019.07.003

Source DB:  PubMed          Journal:  Curr Probl Cancer        ISSN: 0147-0272            Impact factor:   3.187


  8 in total

1.  Predicting Recurrence in Endometrial Cancer Based on a Combination of Classical Parameters and Immunohistochemical Markers.

Authors:  Peng Jiang; Jin Huang; Ying Deng; Jing Hu; Zhen Huang; Mingzhu Jia; Jiaojiao Long; Zhuoying Hu
Journal:  Cancer Manag Res       Date:  2020-08-18       Impact factor: 3.989

2.  Prognostic Value of Ki67 in Patients with Stage 1-2 Endometrial Cancer: Validation of the Cut-off Value of Ki67 as a Predictive Factor.

Authors:  Peng Jiang; Mingzhu Jia; Jing Hu; Zhen Huang; Ying Deng; Li Lai; Shanshan Ding; Zhuoying Hu
Journal:  Onco Targets Ther       Date:  2020-10-27       Impact factor: 4.147

3.  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

4.  A Nomogram Model for Predicting Recurrence of Stage I-III Endometrial Cancer Based on Inflammation-Immunity-Nutrition Score (IINS) and Traditional Classical Predictors.

Authors:  Peng Jiang; Jinyu Wang; Chunxia Gong; Qianlin Yi; Mengqiu Zhu; Zhuoying Hu
Journal:  J Inflamm Res       Date:  2022-05-22

5.  Application of Pelvic Magnetic Resonance Imaging Scan Combined with Serum Pyruvate Kinase Isozyme M2, Neutrophil Gelatinase-Associated Lipocalin, and Soluble Leptin Receptor Detection in Diagnosing Endometrial Carcinoma.

Authors:  Shizhong Su; Liping Yin
Journal:  Contrast Media Mol Imaging       Date:  2022-05-21       Impact factor: 3.009

6.  A Nomogram Model Involving Immunohistochemical Markers for Predicting the Recurrence of Stage I-II Endometrial Cancer.

Authors:  Peng Jiang; Mingzhu Jia; Jing Hu; Zhen Huang; Ying Deng; Zhuoying Hu
Journal:  Front Oncol       Date:  2021-01-22       Impact factor: 6.244

7.  Researches on the Correlation Between Estrogen and Progesterone Receptors Expression and Disease-Free Survival of Endometrial Cancer.

Authors:  Siling Ren; Jingxian Wu; Wanchun Yin; Qianqian Liao; Sailan Gong; Beibei Xuan; Xiaoling Mu
Journal:  Cancer Manag Res       Date:  2020-12-09       Impact factor: 3.989

8.  A Model to Identify Candidates for Lymph Node Dissection Among Patients With High-Risk Endometrial Endometrioid Carcinoma According to Mayo Criteria.

Authors:  Wen Lu; Xiaoyue Chen; Jingyi Ni; Zhen Li; Tao Su; Shuangdi Li; Xiaoping Wan
Journal:  Front Oncol       Date:  2022-06-20       Impact factor: 5.738

  8 in total

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