Skip to main content

Predictive Biomarkers and Targeted Therapies in Sarcomas

  • Chapter
  • First Online:
Book cover Predictive Biomarkers in Oncology

Abstract

Sarcomas are cancers arising from transformed cells of mesenchymal origin. According to the American Cancer Society 2018 statistics, about 13,040 new soft tissue sarcomas are expected to be diagnosed in the United States with 7370 cases in males and 5670 cases in females. About 5150 Americans (2770 males and 2380 females) are expected to die of soft tissue sarcomas. Sarcomas represent a genomically highly heterogenous group that in many cases share a similar clinical course. They are malignant tumors with locally aggressive growth, frequent local recurrences, or distant (mostly pulmonary) metastases. For localized disease, surgery represents the cornerstone of treatment with radiotherapy improving local control. Chemotherapy, which has been developed empirically, is greatly improving survival in bone sarcomas but is only moderately effective in some, by far not in all, soft tissue sarcoma subtypes. Targeting the underlying biology in sarcomas is beyond doubt the only measure to overcome the therapeutic standstill in the field. Predictive biomarker analyses are used to stratify patients and have come to play an enormous role in this area. This chapter will focus on predictive biomarkers in gastrointestinal stromal tumors and malignant soft tissue sarcomas. Basic principles of treatment modalities and diagnostic procedures will be covered.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Pogorzelski M, Falkenhorst J, Bauer S. Molecular subtypes of gastrointestinal stromal tumour requiring specific treatments. Curr Opin Oncol. 2016;28:331–7.

    Article  CAS  PubMed  Google Scholar 

  2. Künstlinger H, Binot E, Merkelbach-Bruse S, Huss S, Wardelmann E, Buettner R, et al. High-resolution melting analysis is a sensitive diagnostic tool to detect imatinib-resistant and imatinib-sensitive PDGFRA exon 18 mutations in gastrointestinal stromal tumors. Hum Pathol. 2014;45:573–82.

    Article  CAS  PubMed  Google Scholar 

  3. Künstlinger H, Huss S, Merkelbach-Bruse S, Binot E, Kleine MA, Loeser H, et al. Gastrointestinal stromal tumors with KIT exon 9 mutations: update on genotype-phenotype correlation and validation of a high-resolution melting assay for mutational testing. Am J Surg Pathol. 2013;37:1648–59.

    Article  PubMed  Google Scholar 

  4. Rubin BP, et al. Molecular targeting of platelet-derived growth factor B by imatinib mesylate in a patient with metastatic dermatofibrosarcoma protuberans. J Clin Oncol. 2002;20(17):3586–91. 8.

    Article  CAS  PubMed  Google Scholar 

  5. Bissler JJ, et al. Everolimus for angiomyolipoma associated with tuberous sclerosis complex or sporadic lymphangioleiomyomatosis (EXIST-2): a multicentre, randomised, double-blind, placebo-controlled trial. Lancet. 2013;381(9869):817–24.

    Article  CAS  PubMed  Google Scholar 

  6. Demetri GD, et al. Efficacy and safety of trabectedin or dacarbazine for metastatic liposarcoma or leiomyosarcoma after failure of conventional chemotherapy: results of a phase III randomized multicenter clinical trial. J Clin Oncol. 2016;34(8):786–93.

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hans-Ulrich Schildhaus .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Schildhaus, HU., Bauer, S. (2019). Predictive Biomarkers and Targeted Therapies in Sarcomas. In: Badve, S., Kumar, G. (eds) Predictive Biomarkers in Oncology. Springer, Cham. https://doi.org/10.1007/978-3-319-95228-4_44

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-95228-4_44

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95227-7

  • Online ISBN: 978-3-319-95228-4

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics