scholarly journals Predicting Recurrence in Endometrial Cancer Based on a Combination of Classical Parameters and Immunohistochemical Markers

2020 ◽  
Vol Volume 12 ◽  
pp. 7395-7403
Author(s):  
Peng Jiang ◽  
Jin Huang ◽  
Ying Deng ◽  
Jing Hu ◽  
Zhen Huang ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Immunohistochemical Markers ◽  
Classical Parameters

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

2021 ◽  
Vol 10 ◽  
Author(s):  
Peng Jiang ◽  
Mingzhu Jia ◽  
Jing Hu ◽  
Zhen Huang ◽  
Ying Deng ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Validation Cohort ◽  
Myometrial Invasion ◽  
Stage I ◽  
Stromal Invasion ◽  
Training Cohort ◽  
Immunohistochemical Markers ◽  
Cervical Stromal Invasion ◽  
Classical Parameters ◽  
Medical University

BackgroundThe purpose of this study was to establish a nomogram combining classical parameters and immunohistochemical markers to predict the recurrence of patients with stage I-II endometrial cancer (EC).Methods419 patients with stage I-II endometrial cancer who received primary surgical treatment at the First Affiliated Hospital of Chongqing Medical University were involved in this study as a training cohort. Univariate and multivariate Cox regression analysis of screening prognostic factors were performed in the training cohort to develop a nomogram model, which was further validated in 248 patients (validation cohort) from the Second Affiliated Hospital of Chongqing Medical University. The calibration curve was used for internal and external verification of the model, and the C-index was used for comparison among different models.ResultsThere were 51 recurrent cases in the training cohort while 31 cases in the validation cohort. Univariate analysis showed that age, histological type, histological grade, myometrial invasion, cervical stromal invasion, postoperative adjuvant treatment, and four immunohistochemical makers (Ki67, estrogen receptor, progesterone receptor, P53) were the related factors for recurrence of EC. Multivariate analysis demonstrated that histological type (P = 0.029), myometrial invasion (P = 0.003), cervical stromal invasion (P = 0.001), Ki67 (P < 0.001), ER (P = 0.009) and P53 expression (P = 0.041) were statistically correlated with recurrence of EC. Recurrence-free survival was better predicted by the proposed nomogram with a C-index of 0.832 (95% CI, 0.752–0.912) in the training cohort, and the validation set confirmed the finding with a C-index of 0.861 (95% CI, 0.755–0.967).ConclusionThe nomogram model combining classical parameters and immunohistochemical markers can better predict the recurrence in patients with FIGO stage I-II EC.

scholarly journals Immunohistochemical Markers in Endometrial Cancer

Cancers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 505
Author(s):  
Valerio Mais ◽  
Michele Peiretti
Keyword(s):  
Endometrial Cancer ◽  
Uterine Cancer ◽  
Immunohistochemical Markers

In 2018, 382,069 new cases of uterine cancer were registered worldwide and 89,929 deaths from this cancer were reported [...]

scholarly journals Unsupervised Clustering of Immunohistochemical Markers to Define High-Risk Endometrial Cancer

2017 ◽  
Vol 25 (2) ◽  
pp. 461-469 ◽  
Author(s):  
Enora Laas ◽  
Marcos Ballester ◽  
Annie Cortez ◽  
Olivier Graesslin ◽  
Emile Daraï
Keyword(s):  
Endometrial Cancer ◽  
High Risk ◽  
Unsupervised Clustering ◽  
Immunohistochemical Markers
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