↓ Skip to main content

Immunotherapy

Overview of attention for book
Attention for Chapter 3: Optimizing Radiotherapy with Immunotherapeutic Approaches
Altmetric Badge

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
35 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
Optimizing Radiotherapy with Immunotherapeutic Approaches
Chapter number 3
Book title
Immunotherapy
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-3-319-53156-4_3
Pubmed ID
Book ISBNs
978-3-31-953155-7, 978-3-31-953156-4, 978-3-31-953155-7, 978-3-31-953156-4
Authors

Jonathan E. Schoenhals, Tijana Skrepnik, Ugur Selek, Maria A. Cortez, Ailin Li, James W. Welsh

Abstract

Several factors must be considered to successfully integrate immunotherapy with radiation into clinical practice. One such factor is that concepts arising from preclinical work must be tested in combination with radiation in preclinical models to better understand how combination therapy will work in patients; examples include checkpoint inhibitors, tumor growth factor-beta (TGF-β) inhibitors, and natural killer (NK) cell therapy. Also, many radiation fields and fractionation schedules typically used in radiation therapy had been standardized before the introduction of advanced techniques for radiation planning and delivery that account for changes in tumor size, location, and motion during treatment, as well as uncertainties introduced by variations in patient setup between treatment fractions. As a result, radiation therapy may involve the use of large treatment volumes, often encompassing nodal regions that may not be irradiated with more conformal techniques. Traditional forms of radiation in particular pose challenges for combination trials with immunotherapy. This chapter explores these issues in more detail and provides insights as to how radiation therapy can be optimized to combine with immunotherapy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 11%
Student > Master 4 11%
Researcher 2 6%
Student > Ph. D. Student 2 6%
Other 1 3%
Other 3 9%
Unknown 19 54%
Readers by discipline Count As %
Medicine and Dentistry 10 29%
Biochemistry, Genetics and Molecular Biology 3 9%
Agricultural and Biological Sciences 1 3%
Unknown 21 60%