title: Histological and immunohistochemical profiles predict lymph node status in women with low-intermediate risk endometrial cancer.
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.
authors.affiliation: Service de Gynécologie-Obstétrique, Hôpital Tenon, AP-HP, Paris, France. marcos.ballester@tnn.aphp.fr
authors.forename: Marcos
authors.initials: M
authors.lastname: Ballester
authors.forename: Geoffroy
authors.initials: G
authors.lastname: Canlorbe
authors.forename: Annie
authors.initials: A
authors.lastname: Cortez
authors.forename: Julie
authors.initials: J
authors.lastname: Gonin
authors.forename: Enora
authors.initials: E
authors.lastname: Laas
authors.forename: Sofiane
authors.initials: S
authors.lastname: Bendifallah
authors.forename: Olivier
authors.initials: O
authors.lastname: Graesslin
authors.forename: Emile
authors.initials: E
authors.lastname: Daraï
mesh_terms: D001808:Blood Vessels / Q000473:pathology; D016889:Endometrial Neoplasms / Q000378:metabolism* / Q000473:pathology* / Q000601:surgery; D005260:Female; D006801:Humans; D008207:Lymphatic Metastasis; D042601:Lymphatic Vessels / Q000473:pathology; D060787:Neoplasm Grading; D009361:Neoplasm Invasiveness; D011960:Receptors, Estrogen / Q000378:metabolism*; D011980:Receptors, Progesterone / Q000378:metabolism*; D012307:Risk Factors
chemical_list: D011960:Receptors, Estrogen; D011980:Receptors, Progesterone
keywords: Endometrial cancer; Histology; Immunohistochemistry; Low/intermediate risk; Lymph node metastases; Predictive model