= Discovery stage. (16.60%, 2024)
= Translation stage. (37.02%, 2024)
= Clinically available. (46.38%, 2024)
MSACL 2024 : Seeley

MSACL 2024 Abstract

Self-Classified Topic Area(s): Imaging > Imaging > none

Integration of Multiplexed Spatial Multi-omics for Deeper Understanding of Cancer Biology

Erin H. Seeley (1), Jimin Min (2,3), Paola Guerrero (2,3), Jared K. Burks (4), Sammy Ferri-Borgogno (5), Anirban Maitra (2,3)
1. Department of Chemistry, University of Texas at Austin 2. Sheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, TX 3. Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 4. Department of Leukemia, MD Anderson Cancer Center, Houston, TX 5. Department of Gynecologic Oncology and Reproductive Medicine, MT Anderson Cancer Center, Houston, TX

Erin Seeley, PhD (Presenter)
The University of Texas MD Anderson Cancer Center

Presenter Bio: Dr. Erin Seeley is the Director of the Mass Spectrometry Imaging Core at MD Anderson Cancer Center. She received her PhD in Analytical Chemistry from Purdue University where she studied phosphoproteomics. She then moved to Vanderbilt University as a postdoc in the lab of Professor Richard Caprioli where she was quickly promoted to Associate Director of the Tissue Profiling and Imaging Core, spending a total of 9 years there. Dr. Seeley then spent about 6 years in Contract Research Organizations performing MSI with a focus on the development of diagnostic tests. In 2020, she moved to the University of Texas at Austin to start up the CPRIT funded Mass Spectrometry Imaging Core. In the summer of 2025, she was recruited to MD Anderson to start a new MSI Core in support of their world-class cancer research. Throughout her career, she has been passionate about developing new sample preparation strategies for advancing the depth of coverage of MSI experiments and moving MSI to clinical applications that can be used to improve patient care.

Relevant Financial Disclosures (within past 24 months, reported on May 11, 2026)
No relevant financial relationship(s) to disclose.

Abstract

Traditionally, mass spectrometry imaging (MSI) studies have focused on one mode of MSI analysis coupled with one or two histological stains of a serial section. Recently, however, focus has shifted to maximizing the amount of molecular information that can be obtained from a minimal amount of tissue. Through careful experimental planning, multiple MS images can be collected sequentially from the same tissue section. Furthermore, these data can be integrated with other spatial omics data to enable a deeper understanding of cancer biology. This presentation will introduce the technology for collecting multiple mass spectrometry imaging from the same tissue section to maximize the amount of information that can be obtained from a single tissue section. A couple of oncology case studies will be presented highlighting these workflows as well as integration with other spatial omics approaches.