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PET imaging biomarkers of anti-EGFR immunotherapy in esophageal squamous cell carcinoma models

  • Tae Sup Lee
  • , In Ho Song
  • , Jong Il Shin
  • , Yong Serk Park
  • , Jung Young Kim
  • , Kwang Il Kim
  • , Yong Jin Lee
  • , Joo Hyun Kang
  • Korea Institute of Radiological and Medical Sciences
  • Yonsei University Mirae Campus

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Epidermal growth factor receptor (EGFR) is overexpressed and considered as a proper molecular target for diagnosis and targeted therapy of esophageal squamous cell carcinoma (ESCC). This study evaluated the usefulness of PET imaging biomarkers with 64 Cu-PCTA-cetuximab and 18 F-FDG-PET for anti-EGFR immunotherapy in ESCC models. In vivo EGFR status and glucose metabolism by cetuximab treatment were evaluated using 64 Cu-PCTA-cetuximab and 18 F-FDG-PET, respectively. Therapeutic responses with imaging biomarkers were confirmed by western blot and immunohistochemistry. TE-4 and TE-8 tumors were clearly visualized by 64 Cu-PCTA-cetuximab, and EGFR expression on TE-8 tumors showed 2.6-fold higher uptake than TE-4. Tumor volumes were markedly reduced by cetuximab in TE-8 tumor (92.5 ± 5.9%), but TE-4 tumors were refractory to cetuximab treatment. The SUVs in 64 Cu-PCTA-cetuximab and 18 F-FDG-PET images were statistically significantly reduced by cetuximab treatment in TE-8 but not in TE-4. 64 Cu-PCTA-cetuximab and 18 F-FDG-PET images were well correlated with EGFR and pAkt levels. 64 Cu-PCTA-cetuximab immuno-PET had a potential for determining EGFR level and monitoring therapeutic response by anti-EGFR therapy. 18 F-FDG-PET was also attractive for monitoring efficacy of anti-EGFR therapy. In conclusion, PET imaging biomarkers may be useful for selecting patients that express target molecules and for monitoring therapeutic efficacy of EGFR-targeted therapy in ESCC patients.

Original languageEnglish
Article number187
JournalCells
Volume7
Issue number11
DOIs
StatePublished - Nov 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • F-FDG
  • Cetuximab
  • Cu-64
  • EGFR
  • Imaging biomarker
  • PET

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