Kihwan Hwang1, Eun Jung Koh2, Eun Jin Choi1, Tae Hee Kang3, Jung Ho Han1,4, Gheeyoung Choe5, Sung-Hye Park6, Jennifer Holmes Yearley7, Lakshmanan Annamalai7, Wendy Blumenschein7, Manjiri Sathe7, Terri McClanahan7, Hun Jung8, Kyu-Chang Wang3,4, Seung-Ki Kim9,10, Chae-Yong Kim11,12. 1. Department of Neurosurgery, Seoul National University Bundang Hospital, Seongnam, South Korea. 2. Department of Neurosurgery, Dongguk University Ilsan Hospital, Goyang, South Korea. 3. Division of Pediatric Neurosurgery, Seoul National University Children's Hospital, Seoul, South Korea. 4. Department of Neurosurgery, Seoul National University College of Medicine, Seoul, South Korea. 5. Department of Pathology, Seoul National University Bundang Hospital, Seongnam, South Korea. 6. Department of Pathology, Seoul National University Hospital, Seoul, South Korea. 7. Merck Sharp & Dohme, Kenilworth, NJ, USA. 8. Yonsei Song-Dang Institute for Cancer Research, Seoul, South Korea. 9. Division of Pediatric Neurosurgery, Seoul National University Children's Hospital, Seoul, South Korea. nsthomas@snu.ac.kr. 10. Department of Neurosurgery, Seoul National University College of Medicine, Seoul, South Korea. nsthomas@snu.ac.kr. 11. Department of Neurosurgery, Seoul National University Bundang Hospital, Seongnam, South Korea. chaeyong@snu.ac.kr. 12. Department of Neurosurgery, Seoul National University College of Medicine, Seoul, South Korea. chaeyong@snu.ac.kr.
Abstract
BACKGROUND: PD-L1 expression has been evaluated as a predictive biomarker for immunotherapy in numerous tumor types. However, very limited data are available in pediatric brain tumors. The aim of this study was to characterize PD-1 and PD-L1 expressions of four pediatric malignant brain tumors and gene expression profile. METHODS: This study included 89 pediatric patients receiving standard treatment at Seoul National University Children's Hospital and Seoul National University Bundang Hospital between 1990 and 2014: atypical teratoid/rhabdoid tumor (AT/RT) 20; ependymoma (EPN) 20; high grade glioma (HGG) 21; and medulloblastoma (MBL) 28. We performed immunohistochemistry assays for PD-1 and PD-L1. To characterize the gene expression, a custom immune-response focused gene panel was used. RESULTS: PD-1 expression was positive in 7 (35%) AT/RT, 7 (35%) EPN, 4 (19%) HGG, and 3 (11%) MBL patients. PD-L1 expression was positive in 8 (40%) AT/RT, 4 (20%) EPN, and 4 (19%) HGG; negative in all MBL patients. There was no statistically significant difference in the overall survival of PD-L1 positive patients. The gene expression analysis demonstrated differences in two clustering functional categories: cell-cell signaling and antigen presentation pathway. CONCLUSIONS: AT/RT, EPN, and HGG showed a relatively higher expression rate of PD-L1 (19-40%). This suggests these tumor types might be good candidates for PD-1 checkpoint blockade. We determined that gene expression may potentially serve as a molecular tool in predicting which patients will respond to immunotherapy. Further investigation is required to better understand the predictive and prognostic role of PD-L1 in pediatric brain tumors.
BACKGROUND:PD-L1 expression has been evaluated as a predictive biomarker for immunotherapy in numerous tumor types. However, very limited data are available in pediatric brain tumors. The aim of this study was to characterize PD-1 and PD-L1 expressions of four pediatric malignant brain tumors and gene expression profile. METHODS: This study included 89 pediatric patients receiving standard treatment at Seoul National University Children's Hospital and Seoul National University Bundang Hospital between 1990 and 2014: atypical teratoid/rhabdoid tumor (AT/RT) 20; ependymoma (EPN) 20; high grade glioma (HGG) 21; and medulloblastoma (MBL) 28. We performed immunohistochemistry assays for PD-1 and PD-L1. To characterize the gene expression, a custom immune-response focused gene panel was used. RESULTS: PD-1 expression was positive in 7 (35%) AT/RT, 7 (35%) EPN, 4 (19%) HGG, and 3 (11%) MBLpatients. PD-L1 expression was positive in 8 (40%) AT/RT, 4 (20%) EPN, and 4 (19%) HGG; negative in all MBLpatients. There was no statistically significant difference in the overall survival of PD-L1 positive patients. The gene expression analysis demonstrated differences in two clustering functional categories: cell-cell signaling and antigen presentation pathway. CONCLUSIONS: AT/RT, EPN, and HGG showed a relatively higher expression rate of PD-L1 (19-40%). This suggests these tumor types might be good candidates for PD-1 checkpoint blockade. We determined that gene expression may potentially serve as a molecular tool in predicting which patients will respond to immunotherapy. Further investigation is required to better understand the predictive and prognostic role of PD-L1 in pediatric brain tumors.
Entities:
Keywords:
Atypical teratoid/rhabdoid tumor; Ependymoma; High grade glioma; Medulloblastoma; PD-L1
Authors: Suzanne L Topalian; F Stephen Hodi; Julie R Brahmer; Scott N Gettinger; David C Smith; David F McDermott; John D Powderly; Richard D Carvajal; Jeffrey A Sosman; Michael B Atkins; Philip D Leming; David R Spigel; Scott J Antonia; Leora Horn; Charles G Drake; Drew M Pardoll; Lieping Chen; William H Sharfman; Robert A Anders; Janis M Taube; Tracee L McMiller; Haiying Xu; Alan J Korman; Maria Jure-Kunkel; Shruti Agrawal; Daniel McDonald; Georgia D Kollia; Ashok Gupta; Jon M Wigginton; Mario Sznol Journal: N Engl J Med Date: 2012-06-02 Impact factor: 91.245
Authors: John-Paul Kilday; Ruman Rahman; Sara Dyer; Lee Ridley; James Lowe; Beth Coyle; Richard Grundy Journal: Mol Cancer Res Date: 2009-06-16 Impact factor: 5.852
Authors: Swetal Patel; Amit Bhatnagar; Christopher Wear; Stephen Osiro; Abigail Gabriel; David Kimball; Alana John; Paul J Fields; R Shane Tubbs; Marios Loukas Journal: Childs Nerv Syst Date: 2013-10-27 Impact factor: 1.475
Authors: Sarah T Garber; Yuuri Hashimoto; Shiao-Pei Weathers; Joanne Xiu; Zoran Gatalica; Roel G W Verhaak; Shouhao Zhou; Gregory N Fuller; Mustafa Khasraw; John de Groot; Sandeep K Reddy; David Spetzler; Amy B Heimberger Journal: Neuro Oncol Date: 2016-07-01 Impact factor: 12.300
Authors: Zahra Abbas; Courtney George; Mathew Ancliffe; Meegan Howlett; Anya C Jones; Mani Kuchibhotla; Robert J Wechsler-Reya; Nicholas G Gottardo; Raelene Endersby Journal: Front Immunol Date: 2022-03-03 Impact factor: 8.786