Integrated Proteogenomic Characterization across Major Histological Types of Pediatric Brain Cancer

Francesca Petralia, Nicole Tignor, Boris Reva, Mateusz Koptyra, Shrabanti Chowdhury, Dmitry Rykunov, Azra Krek, Weiping Ma, Yuankun Zhu, Jiayi Ji, Anna Calinawan, Jeffrey R. Whiteaker, Antonio Colaprico, Vasileios Stathias, Tatiana Omelchenko, Xiaoyu Song, Pichai Raman, Yiran Guo, Miguel A. Brown, Richard G. IveyJohn Szpyt, Sanjukta Guha Thakurta, Marina A. Gritsenko, Karl K. Weitz, Gonzalo Lopez, Selim Kalayci, Zeynep H. Gümüş, Seungyeul Yoo, Felipe da Veiga Leprevost, Hui Yin Chang, Karsten Krug, Lizabeth Katsnelson, Ying Wang, Jacob J. Kennedy, Uliana J. Voytovich, Lei Zhao, Krutika S. Gaonkar, Brian M. Ennis, Bo Zhang, Valerie Baubet, Lamiya Tauhid, Jena V. Lilly, Jennifer L. Mason, Bailey Farrow, Nathan Young, Sarah Leary, Jamie Moon, Vladislav A. Petyuk, Javad Nazarian, Nithin D. Adappa, James N. Palmer, Robert M. Lober, Samuel Rivero-Hinojosa, Liang Bo Wang, Joshua M. Wang, Matilda Broberg, Matthew E. Monroe, Rui Zhao, Richard D. Smith, Jun Zhu, Ana I. Robles, Mehdi Mesri, Emily Boja, Tara Hiltke, Henry Rodriguez, Bing Zhang, Eric E. Schadt, D. R. Mani, Li Ding, Antonio Iavarone, Maciej Wiznerowicz, Stephan Schürer, Xi S. Chen, Allison P. Heath, Jo Lynne Rokita, Alexey I. Nesvizhskii, David Fenyö, Karin D. Rodland, Tao Liu, Steven P. Gygi, Amanda G. Paulovich, Adam C. Resnick, Phillip B. Storm, Brian R. Rood, Pei Wang, Children's Brain Tumor Network, Clinical Proteomic Tumor Analysis Consortium

Research output: Contribution to journalArticleResearchpeer-review

199 Citations (Scopus)

Abstract

We report a comprehensive proteogenomics analysis, including whole-genome sequencing, RNA sequencing, and proteomics and phosphoproteomics profiling, of 218 tumors across 7 histological types of childhood brain cancer: low-grade glioma (n = 93), ependymoma (32), high-grade glioma (25), medulloblastoma (22), ganglioglioma (18), craniopharyngioma (16), and atypical teratoid rhabdoid tumor (12). Proteomics data identify common biological themes that span histological boundaries, suggesting that treatments used for one histological type may be applied effectively to other tumors sharing similar proteomics features. Immune landscape characterization reveals diverse tumor microenvironments across and within diagnoses. Proteomics data further reveal functional effects of somatic mutations and copy number variations (CNVs) not evident in transcriptomics data. Kinase-substrate association and co-expression network analysis identify important biological mechanisms of tumorigenesis. This is the first large-scale proteogenomics analysis across traditional histological boundaries to uncover foundational pediatric brain tumor biology and inform rational treatment selection.

Original languageEnglish
Pages (from-to)1962-1985.e31
Number of pages56
JournalCell
Volume183
Issue number7
DOIs
Publication statusPublished - 23 Dec 2020
Externally publishedYes

Keywords

  • BRAF alteration
  • CPTAC
  • CTNNB1 mutation
  • kinase activity score
  • kinase substrate regulation
  • pediatric brain tumor
  • post-translational modification
  • proteomic cluster
  • recurrent versus primary tumors
  • tumor microenvironment

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