Principal component analysis identifies patterns of cytokine expression in non-small cell lung cancer patients undergoing definitive radiation therapy

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  • Ellsworth, Susannah G.
    • Other Affiliation: Department of Radiation Oncology; Indiana University School of Medicine
  • Rabatic, Bryan M.
    • Affiliation: School of Medicine, Department of Radiation Oncology
  • Chen, Jie
    • Other Affiliation: Department of Biostatistics and Epidemiology; Augusta University
  • Zhao, Jing
    • Other Affiliation: Department of Radiation Oncology; Augusta University
  • Campbell, Jeffrey
    • Other Affiliation: Department of Radiation Oncology; Augusta University
  • Wang, Weili
    • Other Affiliation: Department of Radiation Oncology; Indiana University School of Medicine
  • Pi, Wenhu
    • Other Affiliation: Department of Radiation Oncology; Indiana University School of Medicine
  • Stanton, Paul
    • Other Affiliation: Department of Radiation Oncology; Augusta University
  • Matuszak, Martha
    • Other Affiliation: Department of Radiation Oncology; University of Michigan School of Medicine
  • Jolly, Shruti
    • Other Affiliation: Department of Radiation Oncology; University of Michigan School of Medicine
  • Miller, Amy
    • Other Affiliation: Department of Radiation Oncology; Indiana University School of Medicine
  • Kong, Feng-Ming
    • Other Affiliation: Department of Radiation Oncology; Indiana University School of Medicine
Abstract
  • Radiation treatment (RT) stimulates the release of many immunohumoral factors, complicating the identification of clinically significant cytokine expression patterns. This study used principal component analysis (PCA) to analyze cytokines in non-small cell lung cancer (NSCLC) patients undergoing RT and explore differences in changes after hypofractionated stereotactic body radiation therapy (SBRT) and conventionally fractionated RT (CFRT) without or with chemotherapy.
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  • Article
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  • In Copyright
Journal title
  • PloS One
Journal volume
  • 12
Journal issue
  • 9
Page start
  • e0183239
Language
  • English
ISSN
  • 1932-6203

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