Abstract
Abstract There have been improvements in clinical risk stratifications for oral cavity squamous cell carcinoma (OSCC) with the AJCC 8th edition staging system. Other studies suggest the addition of a metric of specific immune interactions in and around the tumor may be helpful to further stratify patients, with mixed findings. The advent of spatial imaging has allowed a global view for assessing tumor features in the context of all surrounding cell interactions. We hypothesize that the lack of architectural information could contribute to varied clinical outcomes in previous studies, such as tumor recurrence. This highlights how spatial technologies could aid in understanding the role of tissue architecture and its influence on biology and medicine. To study tissue remodeling spatially, we focused on multiplexed-ion beam imaging (MIBI), a spatial proteomics platform to visualize 40 immuno-onco proteins simultaneously. Our banked patient cohort consists of 20 recurrent and 49 non-recurrent OSCC primary surgery samples. Clinical metadata capturing pathologic stage, alcohol use, smoking history, survival data, and more were also collected. With our pathologist, we curated 290 field-of-views (FOVs) of matched primary tumors, uninvolved lymph nodes, and metastatic lymph nodes (if any). Downstream computational analysis using existing MIBI codebases augmented with in-house spatial analytics has revealed a robust spatial dataset. After using machine-learning algorithms to cell segment our images, we validated these assigned cells and marker staining to further annotate cell populations. When we analyzed direct cell interactions, there was a decrease in heterogeneity in immune interactions within recurrent patients compared to non-recurrent patients. To ascertain how the loss of these interactions affected recurrence prognosis, we investigated their prevalence within the tumor border vicinity. We hypothesize that the proximity and cell-cell interactions near the border will promote a tumor-suppressive environment. Utilizing centroid-to-centroid distance measurements, we distilled the top 30 cell-cell interactions within a 100-micron distance from the tumor border. Cell pairs involving macrophage tissue-resident memory cells and CD8 T memory resident cells were more abundant in recurrent patients, while pairs involving CD4 T regulatory and CD8 cells were found in non-recurrent patients. Reassuringly, cell pairings involving myeloid cells were upregulated in the recurrent cohort as expected. Interestingly, cancer-associated fibroblast cell pairings were upregulated indiscriminately in both patient sub- cohorts. This suggests that the impact of certain known immunosuppressive changes may contribute in varying amounts to disease control. Our data demonstrates differences in the architecture of tumors with known divergent outcomes, which suggests global tissue-level changes could be a predictive factor. Clinically, interrogating these interactions of interest could guide treatment escalation or de-escalation in the future. Citation Format: Connie J. Zhou, Jane Lee, Rebecca Jaszczak, Steven R. Long, Patrick K. Ha, Matthew H. Spitzer. Decreased heterogeneity in immune interactions in oral cavity squamous cell carcinoma patients with recurrence [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor-body Interactions: The Roles of Micro- and Macroenvironment in Cancer; 2024 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(22_Suppl):Abstract nr C028.
Published Version
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