Clinical Prognostic Factors and Integrated Multi-Omics Studies Identify Potential Novel Therapeutic Targets for Pediatric Desmoid Tumor

  • Bo Ning
  • , Peng Huang
  • , Lining Zhu
  • , Zhijie Ma
  • , Xiaoli Chen
  • , Haojun Xu
  • , Ruixue Ma
  • , Chengyun Yao
  • , Pengfei Zheng
  • , Tian Xia
  • , Hongping Xia

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Background: Desmoid tumor (DT), also known as desmoid-type fibromatosis (DTF) or aggressive fibromatosis (AF) is a rare mesenchymal tumor affecting both children and adults. It is non-metastasis but infiltrative, growing with a high recurrence rate to even cause serious health problems. This study investigates the biology of desmoid tumors through integrated multi-omics studies. Methods: We systematically investigated the clinical data of 98 extra-abdominal cases in our pediatric institute and identified some critical clinical prognostic factors. Moreover, our integrated multi-omics studies (Whole Exome Sequencing, RNA sequencing, and untargeted metabolomics profiling) in the paired PDT tumor/matched normal tissues identified more novel mutations, and potential prognostic markers and therapeutic targets for PDTs. Results: The top mutation genes, such as CTNNB1 (p.T41A and p.S45F) and MUC4 (p.T3775T, p.S3450S, etc.), were observed with a mutation in more than 40% of PDT patients. We also identified a panel of genes that are classed as the FDA-approved drug targets or Wnt/β-catenin signaling pathway-related genes. The integrated analysis identified pathways and key genes/metabolites that may be important for developing potential treatment of PDTs. We also successfully established six primary PDT cell lines for future studies. Conclusions: These studies may promote the development of novel drugs and therapeutic strategies for PDTs.

Original languageEnglish
Article number25
JournalBiological Procedures Online
Volume24
Issue number1
DOIs
StatePublished - Dec 2022

Keywords

  • Clinical prognostic factors
  • Pediatric desmoid tumor
  • RNA sequencing
  • Untargeted metabolomics profiling
  • Whole exome sequencing

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