Childhood Cancer Data Initiative Annual Symposium (Abstract Registration)

Abstract Submission Form

Abstract Submission for Poster Presentation

Attendees interested in presenting a poster should complete the form below to submit their work. A confirmation email will be sent upon successful submission. Poster presentations will take place on Monday, October 6, from 3:00–5:00 p.m. E.T.

Best Abstract Award

Abstracts will be evaluated based on the following criteria:

Significance and Impact:
- Relevance of the topic and its potential contribution
- Evidence of innovative data use and/or potential to increase relevant data for sharing in the CCDI Ecosystem
Scientific Rigor:
- Clearly stated research question
- Well-suited methodologies to address the problem Detailed experimental methods
- Clarity: Content is well-organized, easy to follow, and effectively communicated

The deadline for abstracts for poster presentations closed on September 1, 2025. If you have questions about submitting abstracts for poster presentations, contact Subhashini Jagu at subhashini.jagu@nih.gov.

Submission information

Submission Number: 63

Submission ID: 150536

Submission UUID: 29d5ea7f-20e3-44e9-b22b-49d3c5bf6334

Submission URI: /nci/ccdisymposium/abstract

Submission Update: /nci/ccdisymposium/abstract?token=VjA2JOnY9RkPY2Or7FC-n33SOSyY3JcNbiPvZVkLh1U

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

Webform: Childhood Cancer Data Initiative Annual Symposium (Abstracts Submission)

Submitted to: Childhood Cancer Data Initiative Annual Symposium (Abstract Registration)

Abstract Submission for Poster Presentation

Poster size should not exceed 4 ft. (height) by 6 ft. (width)

Abstract Title:

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.

Authors:

Please use the following formatting for these degrees: M.D. Ph.D. MPH

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