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Soft tissue sarcomas in the precision medicine era: new advances in clinical practice and future perspectives

Overview of attention for article published in La radiologia medica, April 2018
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Title
Soft tissue sarcomas in the precision medicine era: new advances in clinical practice and future perspectives
Published in
La radiologia medica, April 2018
DOI 10.1007/s11547-018-0883-6
Pubmed ID
Authors

Giuseppe Badalamenti, Carlo Messina, Ida De Luca, Emmanuela Musso, Alessandra Casarin, Lorena Incorvaia

Abstract

Soft tissue sarcomas (STSs) represent a rare and heterogeneous group of solid tumours derived from mesenchymal progenitors and account for 1% of all adult malignancies. Although in the last decade anthracycline-based chemotherapy single agent or in combinations has been able to improve clinical benefits, prognosis is still poor and STSs represent an important unmet medical need. Continuous advances in cancer genetics and genomics have contributed to change management paradigms of STSs as it occurred for other solid tumours. Several treatments have been recently developed with the specific aim of targeting different cell pathways and immune-checkpoints that have been recognized to drive tumour progression. The following attempts to provide a review of literature focusing on the available data concerning novel treatments and future prospective for the management of metastatic STSs.

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The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 14%
Professor > Associate Professor 2 10%
Professor 1 5%
Student > Bachelor 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 12 57%
Readers by discipline Count As %
Medicine and Dentistry 7 33%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Economics, Econometrics and Finance 1 5%
Agricultural and Biological Sciences 1 5%
Unknown 11 52%