Uterine Sarcoma: Modern Treatment Paradigms View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-12

AUTHORS

Stephanie Ricci, Lisa Rubinsak, Sarah M. Temkin

ABSTRACT

The purpose of this review is to inform readers of the most current management strategies for women with uterine sarcoma. Surgery is the standard of care in the management of all soft-tissue sarcomas, including uterine sarcoma. However, there are malignancies that can be challenging to diagnose preoperatively and can mimic the appearance of benign uterine leiomyomas. Because of aggressive tumor biology and relative chemotherapy and radiotherapy resistance, efficacious therapies to achieve prolonged survival or cure in those with both early- and advanced-stage uterine sarcomas have been elusive. The strongest determinant of survival remains the stage at diagnosis, though prediction models may provide a more accurate prognosis. An increase in the use of both adjuvant chemotherapy and radiation therapy more recently has led to a small survival advantage in these tumors. Uterine sarcomas are a rare form of uterine cancer; however, they contribute disproportionately to a large number of uterine cancer deaths. Both the rarity of this disease and the inability to confirm a preoperative diagnosis make it difficult to study women with uterine sarcoma. Randomized controlled trials have demonstrated a limited response to traditional cytotoxic therapy, highlighting the importance of novel treatment strategies. This review provides a critical appraisal of the literature regarding the contemporary management of uterine sarcoma, the role of targeted therapies, and potential future directions for research. More... »

PAGES

290-297

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13669-017-0227-x

DOI

http://dx.doi.org/10.1007/s13669-017-0227-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092350822


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s13669-017-0227-x'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s13669-017-0227-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13669-017-0227-x'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13669-017-0227-x'


 

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