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Updated: Jun 19, 2026

Establishment of Cancer Stem Cell Cultures from Human Conventional Osteosarcoma
09:25

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Published on: October 14, 2016

Uterine sarcomas: a review.

Emanuela D'Angelo1, Jaime Prat

  • 1Department of Pathology, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Sant Antoni M. Claret, 167, 08025 Barcelona, Spain.

Gynecologic Oncology
|October 27, 2009
PubMed
Summary

Uterine sarcomas are rare cancers. Leiomyosarcomas have a poor prognosis, while endometrial stromal sarcomas are indolent. Accurate classification is crucial for predicting outcomes.

Area of Science:

  • Gynecologic Oncology
  • Pathology
  • Oncology

Background:

  • Uterine sarcomas are rare, comprising 3% of uterine cancers.
  • WHO classification revised in 2003; new FIGO staging system developed.
  • No consensus exists on risk factors for adverse outcomes.

Purpose of the Study:

  • Summarize clinicopathological data on uterine sarcomas.
  • Classify uterine sarcomas according to WHO diagnostic criteria.
  • Review prognostic factors for uterine sarcomas.

Main Methods:

  • Medline search (1976-2009) for English publications.
  • Inclusion of studies on women diagnosed with uterine sarcomas.
  • Review of clinicopathological data based on WHO criteria.

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Published on: September 12, 2019

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Last Updated: Jun 19, 2026

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Published on: October 14, 2016

An Orthotopic Endometrial Cancer Model with Retroperitoneal Lymphadenopathy Made From In Vivo Propagated and Cultured VX2 Cells
09:48

An Orthotopic Endometrial Cancer Model with Retroperitoneal Lymphadenopathy Made From In Vivo Propagated and Cultured VX2 Cells

Published on: September 12, 2019

Main Results:

  • Leiomyosarcomas are the most common uterine sarcomas with a poor prognosis.
  • Endometrial stromal sarcomas are indolent with long-term survival.
  • Prognosis varies by subtype: aggressive undifferentiated endometrial sarcomas, favorable adenosarcomas (unless invasive), and poor prognosis carcinosarcomas.

Conclusions:

  • H&E staining is equivocal for predicting uterine sarcoma behavior.
  • Immunohistochemical and molecular analyses are essential for accurate classification and prognosis.
  • Future research should focus on molecular markers for precise prognostication.