Childhood Cancer Data Initiative Annual Symposium (Abstract Registration): Submission #63
Submission information
              Submission Number: 63
  Submission ID: 150536
  Submission UUID: 29d5ea7f-20e3-44e9-b22b-49d3c5bf6334
      Submission URI: /nci/ccdisymposium/abstract
          
      Created: Tue, 09/02/2025 - 10:41
  Completed: Tue, 09/02/2025 - 10:42
  Changed: Tue, 09/02/2025 - 10:42
  Remote IP address: 10.208.28.30
  Submitted by: chungs6
  Language: English
  Is draft: No
    
      
    
          Abstract Submission for Poster Presentation
              
      
  
  
  Integrative analysis of the rare endocrine cancers using multi-omics data
  
  
  
  
      
  
  
  Endocrine cancers, including thyroid, adrenal, pituitary, and endocrine pancreatic cancers, are rare and understudied due to limited biospecimens and genomic data. We employed multi-omics approaches—RNA sequencing, whole-exome sequencing, and whole-genome sequencing—to elucidate molecular signatures and regulatory pathways in these cancers. We identified genes specific to various endocrine cancers, such as GNRHR, NPTX2, TAAR1, SLC6A5, and OPRM1. Co-expression network analysis revealed distinct neuronal pathways associated with cancer progression. Integrating protein-protein interaction and multi-omic aberrant gene interaction networks, we discovered pathways involving noradrenaline biosynthesis in pheochromocytomas, calcitonin regulation in medullary thyroid carcinoma, cholesterol biosynthesis in adrenocortical carcinoma, and the BRCA1-associated genome surveillance complex in papillary thyroid carcinoma. Our comprehensive multi-omic analysis offers novel insights into candidate therapeutic targets for these rare endocrine cancers.
  
  
  
  
  
  
  
      
  
  
  National Institutes of Health/National Cancer Institute