Abstract 6188: Pathomics of prostate cancer incorporating histology and mass spectrometry imaging

Abstract Background: Recent evidence shows that interactions between tumor cells, immune cells, and extracellular matrix (ECM) proteins in the stroma play an important role in prostate cancer (PCa) progression. However, to date these factors are not accounted for in clinical evaluation of PCa patients. Our team has developed methods based on matrix-assisted laser desorption/ionization (MALDI) imaging to identify sets of ECM glycan and collagen molecules associated with PCa. In this study, we leverage computational imaging methods and pathomic textural features to assess the potential of MALDI imaging to guide the identification of regions in PCa hematoxylin and eosin stain (H0. 008) than the Dice score of 1663 (0. 24 0. 17‒0. 36), 1809 (0. 31 0. 13‒0. 45), and 2686 m/z (0. 32 0. 19‒0. 37). This suggests a large overlap between 1419 and 2539 m/z and tumor, and large overlap between 1663 and 1809 m/z and non-tumor regions. Consistent with these results, our pathomic textural analysis showed that 50 out of 70 features were significantly different (p0. 05) between the masks derived from 1419 and 1663 m/z, 52 between 1419 and 1809 m/z, 62 between 2539 and 1663 m/z, and 57 between 2539 and 1809 m/z (p0. 05). Moreover, there were only 23 significantly different features between 1419 and 2539 m/z (p0. 05), and 0 features between 1663 and 1809 m/z. Further evaluation is needed for 2686 m/z for which a mean of 54 45‒64 significantly different features (p0. 05) from all other masks were found. Conclusions: We provide preliminary evidence that MALDI imaging can elucidate tissue properties and guide pathomic textural analysis in H Part 1 (Regular Abstracts) ; 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84 (6Suppl): Abstract nr 6188.