title: Contribution of immunohistochemical profile in assessing histological grade of endometrial cancer.
abstract: BACKGROUND
  The aim of this study was to correlate immunostaining expression profiles with histological grade using a predictive model.
  
  
  METHODS
  Samples were collected from 69 women with endometrial cancer. Immunostaining for expression of estrogen receptor (ER), progesteron receptor (PR), Ki67 and p53 in grade 1 or 2 and grade 3 tumors were compared. After determining optimal immunostaining cut-offs, we built a model to predict the final histological grade.
  
  
  RESULTS
  Higher immunostaining of ER and PR was found in grade 1 or 2 (p=0.01) compared with grade 3 tumors. Higher immunostaining for Ki67 (p<0.0001) and p53 (p<0.001) was found in grade 3 than in grade 1 or 2 tumors. The recursive partitioning model predicted a grade 1 or 2 tumor in 98% of cases when Ki67 and p53 were underexpressed. The mis-classification rate was 13%.
  
  
  CONCLUSIONS
  Our results show that integrating immunohistochemical profiles in a simple predictive model could help predict the final histological grade of endometrial tumors, especially for grade 1 or 2.
authors: Departement of Obstetrics and Gynecology, Tenon University Hospital, APHP, Paris, France.
authors: Geoffroy
authors: G
authors: Canlorbe
authors: Enora
authors: E
authors: Laas
authors: Sofiane
authors: S
authors: Bendifallah
authors: Emile
authors: E
authors: Daraï
authors: Marcos
authors: M
authors: Ballester
mesh_terms: D018262:Adenocarcinoma, Clear Cell / Q000378:metabolism / Q000473:pathology*; D000328:Adult; D014408:Biomarkers, Tumor / Q000378:metabolism*; D002291:Carcinoma, Papillary / Q000378:metabolism / Q000473:pathology*; D018284:Cystadenocarcinoma, Serous / Q000378:metabolism / Q000473:pathology*; D016889:Endometrial Neoplasms / Q000378:metabolism / Q000473:pathology*; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007124:Immunoenzyme Techniques; D019394:Ki-67 Antigen / Q000378:metabolism; D008875:Middle Aged; D015233:Models, Statistical; D060787:Neoplasm Grading; D009367:Neoplasm Staging; D011379:Prognosis; D011446:Prospective Studies; D011960:Receptors, Estrogen / Q000378:metabolism; D011980:Receptors, Progesterone / Q000378:metabolism; D016159:Tumor Suppressor Protein p53 / Q000378:metabolism
chemical_list: D014408:Biomarkers, Tumor; D019394:Ki-67 Antigen; D011960:Receptors, Estrogen; D011980:Receptors, Progesterone; C495901:TP53 protein, human; D016159:Tumor Suppressor Protein p53
keywords: Endometrial cancer; Ki67; estrogen receptor; histological grade; immunohistochemistry; p53; predictive model; progesteron receptor