Pathology & Oncology Research

, Volume 25, Issue 2, pp 461–469 | Cite as

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

  • Enora LaasEmail author
  • Marcos Ballester
  • Annie Cortez
  • Olivier Graesslin
  • Emile Daraï
Original Article


Considerable heterogeneity exists in outcomes of early endometrial cancer (EC) according to the type but also the histological grading. Our goal was to describe the immunohistochemical profiles of type I EC according to grades and type II EC, to identify groups of interacting proteins using principal component analysis (PCA) and unsupervised clustering. We studied 13 immunohistochemical markers (steroid receptors, pro/anti-apoptotic proteins, metalloproteinases (MMP) and tissue inhibitor of metalloproteinase (TIMP), and CD44 isoforms known for their role in endometrial pathology. Co-expressed proteins associated with the type, grade and outcome of EC were determined by PCA and unsupervised clustering. PCA identified three functional groups of proteins from 43 tissue samples (38 type I and 5 type II EC): the first was characterized by p53 expression; the second by MMPs, bcl-2, PR B and CD44v6; and the third by ER alpha, PR A, TIMP-2 and CD44v3. Unsupervised clustering found two main clusters of proteins, with both type I grade 3 and type II EC exhibiting the same cluster profile. PCA and unsupervised clustering of immunohistochemical markers in EC contribute to a better comprehension and classification of the disease.


Endometrial cancer High-risk endometrial cancer Immunohistochemistry Unsupervised clustering Principal component analysis 


Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. For this type of study formal consent is not required.


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Copyright information

© Arányi Lajos Foundation 2017

Authors and Affiliations

  • Enora Laas
    • 1
    • 2
    Email author
  • Marcos Ballester
    • 1
    • 2
    • 3
  • Annie Cortez
    • 2
    • 4
  • Olivier Graesslin
    • 5
  • Emile Daraï
    • 1
    • 2
    • 3
  1. 1.Service de Gynécologie-Obstétrique, Hôpital TenonParisFrance
  2. 2.Institut Universitaire de CancérologieUniversité Pierre et Marie CurieParis 6France
  3. 3.UMRS-938Université Pierre et Marie CurieParis 6France
  4. 4.Service d’Anatomie Pathologie, Hôpital TenonParisFrance
  5. 5.Service de gynécologie-obstétrique, Hôpital Alix de ChampagneReimsFrance

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