↓ Skip to main content

Current Advances in Osteosarcoma

Overview of attention for book
Cover of 'Current Advances in Osteosarcoma'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Historical Perspective on the Introduction and Use of Chemotherapy for the Treatment of Osteosarcoma
  3. Altmetric Badge
    Chapter 2 Wnt Signaling in Osteosarcoma.
  4. Altmetric Badge
    Chapter 3 Receptor Tyrosine Kinases in Osteosarcoma: Not Just the Usual Suspects.
  5. Altmetric Badge
    Chapter 4 Understanding the role of notch in osteosarcoma.
  6. Altmetric Badge
    Chapter 5 Developmental Pathways Hijacked by Osteosarcoma
  7. Altmetric Badge
    Chapter 6 MicroRNAs in Osteosarcomagenesis
  8. Altmetric Badge
    Chapter 7 RECQ DNA Helicases and Osteosarcoma
  9. Altmetric Badge
    Chapter 8 Autophagy in Osteosarcoma
  10. Altmetric Badge
    Chapter 9 HER-2 Involvement in Osteosarcoma
  11. Altmetric Badge
    Chapter 10 Role of Ezrin in Osteosarcoma Metastasis
  12. Altmetric Badge
    Chapter 11 Participation of the Fas/FasL Signaling Pathway and the Lung Microenvironment in the Development of Osteosarcoma Lung Metastases
  13. Altmetric Badge
    Chapter 12 Zebrafish as a Model for Human Osteosarcoma
  14. Altmetric Badge
    Chapter 13 Using canine osteosarcoma as a model to assess efficacy of novel therapies: can old dogs teach us new tricks?
  15. Altmetric Badge
    Chapter 14 Oncolytic Viruses for Potential Osteosarcoma Therapy
  16. Altmetric Badge
    Chapter 15 IL-11Rα: A Novel Target for the Treatment of Osteosarcoma.
  17. Altmetric Badge
    Chapter 16 Bone-Seeking Radiopharmaceuticals as Targeted Agents of Osteosarcoma: Samarium-153-EDTMP and Radium-223
  18. Altmetric Badge
    Chapter 17 Muramyl Tripeptide-Phosphatidyl Ethanolamine Encapsulated in Liposomes (L-MTP-PE) in the Treatment of Osteosarcoma
  19. Altmetric Badge
    Chapter 18 Genetically modified T-cell therapy for osteosarcoma.
  20. Altmetric Badge
    Chapter 19 Natural Killer Cells for Osteosarcoma.
  21. Altmetric Badge
    Chapter 20 Erratum
Attention for Chapter 3: Receptor Tyrosine Kinases in Osteosarcoma: Not Just the Usual Suspects.
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
22 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Receptor Tyrosine Kinases in Osteosarcoma: Not Just the Usual Suspects.
Chapter number 3
Book title
Current Advances in Osteosarcoma
Published in
Advances in experimental medicine and biology, January 2014
DOI 10.1007/978-3-319-04843-7_3
Pubmed ID
Book ISBNs
978-3-31-904842-0, 978-3-31-904843-7
Authors

Ashley N Rettew, Patrick J Getty, Edward M Greenfield, Ashley N. Rettew, Patrick J. Getty, Edward M. Greenfield, Rettew, Ashley N., Getty, Patrick J., Greenfield, Edward M.

Abstract

Despite aggressive surgical and chemotherapy protocols, survival rates for osteosarcoma patients have not improved over the last 30 years. Therefore, novel therapeutic agents are needed. Receptor tyrosine kinases have emerged as targets for the development of new cancer therapies since their activation leads to enhanced proliferation, survival, and metastasis. In fact, aberrant expression and activation of RTKs have been associated with the progression of many cancers. Studies from our lab using phosphoproteomic screening identified RTKs that are activated and thus may contribute to the signaling within metastatic human osteosarcoma cells. Functional genomic screening using siRNA was performed to distinguish which of the activated RTKs contribute to in vitro phenotypes associated with metastatic potential (motility, invasion, colony formation, and cell growth). The resulting RTK hits were then validated using independent validation experiments. From these results, we identified four RTKs (Axl, EphB2, FGFR2, and Ret) that have not been previously studied in osteosarcoma and provide targets for the development of novel therapeutics.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Singapore 1 5%
South Africa 1 5%
Unknown 19 86%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 32%
Student > Bachelor 4 18%
Professor 3 14%
Student > Doctoral Student 2 9%
Other 2 9%
Other 3 14%
Unknown 1 5%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 32%
Medicine and Dentistry 7 32%
Agricultural and Biological Sciences 2 9%
Unspecified 1 5%
Nursing and Health Professions 1 5%
Other 2 9%
Unknown 2 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 June 2014.
All research outputs
#18,373,576
of 22,757,090 outputs
Outputs from Advances in experimental medicine and biology
#3,304
of 4,926 outputs
Outputs of similar age
#229,376
of 305,260 outputs
Outputs of similar age from Advances in experimental medicine and biology
#88
of 138 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,926 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 305,260 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.