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Lung Cancer and Personalized Medicine: Novel Therapies and Clinical Management

Overview of attention for book
Cover of 'Lung Cancer and Personalized Medicine: Novel Therapies and Clinical Management'

Table of Contents

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    Book Overview
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    Chapter 1 Lung Cancer Genomics in the Era of Accelerated Targeted Drug Development.
  3. Altmetric Badge
    Chapter 2 Emerging Biomarkers in Personalized Therapy of Lung Cancer
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    Chapter 3 Lung Cancer and Personalized Medicine: Novel Therapies and Clinical Management
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    Chapter 4 The Role of Cancer Stem Cells in Recurrent and Drug-Resistant Lung Cancer.
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    Chapter 5 The Microenvironment of Lung Cancer and Therapeutic Implications.
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    Chapter 6 Epigenetics in Personalized Management of Lung Cancer.
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    Chapter 7 Next-Generation Sequencing and Applications to the Diagnosis and Treatment of Lung Cancer.
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    Chapter 8 Lung Cancer and Personalized Medicine: Novel Therapies and Clinical Management
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    Chapter 9 Personalized Therapy of Small Cell Lung Cancer.
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    Chapter 10 Personalized Radiation Therapy (PRT) for Lung Cancer.
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    Chapter 11 Lung Cancer and Personalized Medicine: Novel Therapies and Clinical Management
Attention for Chapter 10: Personalized Radiation Therapy (PRT) for Lung Cancer.
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Citations

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Chapter title
Personalized Radiation Therapy (PRT) for Lung Cancer.
Chapter number 10
Book title
Lung Cancer and Personalized Medicine: Novel Therapies and Clinical Management
Published in
Advances in experimental medicine and biology, December 2015
DOI 10.1007/978-3-319-24932-2_10
Pubmed ID
26703805
Book ISBNs
978-3-31-924931-5, 978-3-31-924932-2
Authors

Jin, Jian-Yue, Kong, Feng-Ming Spring, Jian-Yue Jin Ph.D., Feng-Ming (Spring) Kong M.D., Ph.D., Jian-Yue Jin, Feng-Ming (Spring) Kong

Editors

Aamir Ahmad, Shirish M. Gadgeel

Abstract

This chapter reviews and discusses approaches and strategies of personalized radiation therapy (PRT) for lung cancers at four different levels: (1) clinically established PRT based on a patient's histology, stage, tumor volume and tumor locations; (2) personalized adaptive radiation therapy (RT) based on image response during treatment; (3) PRT based on biomarkers; (4) personalized fractionation schedule. The current RT practice for lung cancer is partially individualized according to tumor histology, stage, size/location, and combination with use of systemic therapy. During-RT PET-CT image guided adaptive treatment is being tested in a multicenter trial. Treatment response detected by the during-RT images may also provide a strategy to further personalize the remaining treatment. Research on biomarker-guided PRT is ongoing. The biomarkers include genomics, proteomics, microRNA, cytokines, metabolomics from tumor and blood samples, and radiomics from PET, CT, SPECT images. Finally, RT fractionation schedule may also be personalized to each individual patient to maximize therapeutic gain. Future PRT should be based on comprehensive considerations of knowledge acquired from all these levels, as well as consideration of the societal value such as cost and effectiveness.

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X Demographics

The data shown below were collected from the profiles of 2 X users 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Researcher 6 15%
Student > Doctoral Student 4 10%
Student > Bachelor 3 8%
Student > Master 3 8%
Other 8 21%
Unknown 6 15%
Readers by discipline Count As %
Medicine and Dentistry 13 33%
Biochemistry, Genetics and Molecular Biology 3 8%
Unspecified 2 5%
Agricultural and Biological Sciences 2 5%
Computer Science 2 5%
Other 7 18%
Unknown 10 26%
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 26 December 2015.
All research outputs
#18,433,196
of 22,836,570 outputs
Outputs from Advances in experimental medicine and biology
#3,315
of 4,951 outputs
Outputs of similar age
#282,091
of 390,707 outputs
Outputs of similar age from Advances in experimental medicine and biology
#271
of 426 outputs
Altmetric has tracked 22,836,570 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 4,951 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 390,707 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 426 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.

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