Molecular Pathology of Endometrial Carcinoma on LBC Samples and Cell Blocks

Author(s):  
Diana Martins ◽  
Fernando Schmitt ◽  
Milo Frattini ◽  
Franco Fulciniti
2011 ◽  
Vol 4 (1) ◽  
pp. 131-147
Author(s):  
Bojana Djordjevic ◽  
Russell R. Broaddus

Author(s):  
Alessia Di Lorito ◽  
Fernando Schmitt ◽  
Milo Frattini ◽  
Luca Mazzucchelli ◽  
Franco Fulciniti

2008 ◽  
Vol 62 (9) ◽  
pp. 777-785 ◽  
Author(s):  
D Llobet ◽  
J Pallares ◽  
A Yeramian ◽  
M Santacana ◽  
N Eritja ◽  
...  

2020 ◽  
Author(s):  
Yuan Li ◽  
Jiaqi Li ◽  
Ensong Guo ◽  
Jia Huang ◽  
Guangguang Fang ◽  
...  

Abstract Background: Risk stratifications for endometrial carcinoma (EC) depend on histopathology and molecular pathology. Histopathological risk stratification lacks reproducibility, neglects heterogeneity and contributes little to surgical procedures. Existing molecular stratification is useless in patient with specific pathological or molecular characteristics, and cannot guide postoperative adjuvant radiotherapies. Chromosomal instability (CIN), the numerical and structural alterations of chromosome resulting from ongoing errors of chromosome segregation, is an intrinsic biological mechanism for the evolution of different prognostic factors of histopathology and molecular pathology, which may be applicable to the risk stratification of EC.Results: By analysis of CIN25 and CIN70, two reliable gene expression signatures for CIN, we found that EC with unfavorable prognostic factors of histopathology or molecular pathology had serious CIN. However, POLE-mutant, as a favorable prognostic factor, had elevated CIN signatures, and CTNNB1-mutant, as an unfavorable prognostic factor, had decreased CIN signatures. Only if these two mutations were excluded were CIN signatures strongly prognostic for outcomes in different adjuvant radiotherapy subgroups. Integrating pathology, CIN signatures and POLE / CTNNB1 mutation stratified stageⅠendometrioid EC into four groups with improved risk prognostication and treatment recommendations.Conclusions:We revealed the possibility of integrating histopathology and molecular pathology by CIN for risk stratification in early-stage EC. Our integrated risk model deserves for further improvement and validation.


2012 ◽  
Vol 62 (1) ◽  
pp. 111-123 ◽  
Author(s):  
Xavier Matias-Guiu ◽  
Jaime Prat

2020 ◽  
Author(s):  
Yuan Li ◽  
Jiaqi Li ◽  
Ensong Guo ◽  
Jia Huang ◽  
Guangguang Fang ◽  
...  

Abstract Background: Risk stratifications for endometrial carcinoma (EC) depend on histopathology and molecular pathology. Histopathological risk stratification lacks reproducibility, neglects heterogeneity and contributes little to surgical procedures. Existing molecular stratification is useless in patients with specific pathological or molecular characteristics and cannot guide postoperative adjuvant radiotherapies. Chromosomal instability (CIN), the numerical and structural alterations of chromosomes resulting from ongoing errors of chromosome segregation, is an intrinsic biological mechanism for the evolution of different prognostic factors of histopathology and molecular pathology and may be applicable to the risk stratification of EC.Results: By analyzing CIN25 and CIN70, two reliable gene expression signatures for CIN, we found that EC with unfavorable prognostic factors of histopathology or molecular pathology had serious CIN. However, the POLE mutant, as a favorable prognostic factor, had elevated CIN signatures, and the CTNNB1 mutant, as an unfavorable prognostic factor, had decreased CIN signatures. Only if these two mutations were excluded were CIN signatures strongly prognostic for outcomes in different adjuvant radiotherapy subgroups. Integrating pathology, CIN signatures and POLE/CTNNB1 mutation stratified stageⅠendometrioid EC into four groups with improved risk prognostication and treatment recommendations. Conclusions: We revealed the possibility of integrating histopathology and molecular pathology by CIN for risk stratification in early-stage EC. Our integrated risk model deserves further improvement and validation.


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