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 Title: | Integrative analysis of the rare endocrine cancers using multi-omics data |
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Abstract: | 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. |
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Presenting Author: | Vidhur Daulatabad |
Institution: | National Institutes of Health/National Cancer Institute |
Email Address: | vidhur.daulatabad@nih.gov |