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Malignant mesenchymal tumors of the uterus - time to advocate a genetic classification.
- Source :
-
Expert review of anticancer therapy [Expert Rev Anticancer Ther] 2016 Nov; Vol. 16 (11), pp. 1155-1166. Date of Electronic Publication: 2016 Sep 29. - Publication Year :
- 2016
-
Abstract
- Introduction: Sarcomas are rare uterine tumors with leiomyosarcomas and endometrial stromal sarcomas constituting the predominant entities often making their first appearance in young and middle-aged women. By histology combined with immunostaining alone some of these tumors can offer diagnostic challenges e.g. for the differential diagnosis between leiomyosarcomas and smooth muscle tumors of uncertain malignant potential (STUMP). Areas covered: Recent advances in the genetic classification and subclassification, respectively, have shown that genetic markers can offer a valuable adjunct to conventional diagnostic tools. Herein, we will review these recent data from the literature also referring to genetic alterations found in STUMP, endometrial stromal nodules, and leiomyomas including their variants. Expert commentary: For the future, we consider genetic classification as a necessary step in the clinical management of these tumors which will help not only to improve the diagnosis but also the therapy of these malignancies often associated with a worse prognosis.
- Subjects :
- Animals
Diagnosis, Differential
Endometrial Neoplasms genetics
Endometrial Neoplasms pathology
Female
Humans
Leiomyosarcoma diagnosis
Leiomyosarcoma genetics
Leiomyosarcoma pathology
Liver Neoplasms genetics
Liver Neoplasms pathology
Mesenchymoma genetics
Mesenchymoma pathology
Prognosis
Sarcoma, Endometrial Stromal diagnosis
Sarcoma, Endometrial Stromal genetics
Sarcoma, Endometrial Stromal pathology
Smooth Muscle Tumor diagnosis
Smooth Muscle Tumor genetics
Smooth Muscle Tumor pathology
Uterine Neoplasms genetics
Uterine Neoplasms pathology
Endometrial Neoplasms diagnosis
Liver Neoplasms diagnosis
Mesenchymoma diagnosis
Uterine Neoplasms diagnosis
Subjects
Details
- Language :
- English
- ISSN :
- 1744-8328
- Volume :
- 16
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- Expert review of anticancer therapy
- Publication Type :
- Academic Journal
- Accession number :
- 27602604
- Full Text :
- https://doi.org/10.1080/14737140.2016.1233817