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  Indian J Med Microbiol
 

Figure 8: TissueCypher assessment of microenvironment-based biomarker features. Panels (a and d) show H&E, (b and e) alpha-methylacyl-coenzyme A racemase (red) and Hoechst (blue) and (c and f) heat maps of alpha-methylacyl-coenzyme A racemase cell intensity standard deviation in microenvironments in reactive atypia and high grade dysplasia biopsies, respectively. Multivariate analysis showed a population of cells within the high-grade dysplasia biopsy with high alpha-methylacyl-coenzyme A racemase, including a subset with the p16 loss (g) and a p53-high subset (h). Evaluation of the top 5% of alpha-methylacyl-coenzyme A racemase microenvironments showed high levels in the high-grade dysplasia versus reactive atypia biopsy (i)

Figure 8: TissueCypher assessment of microenvironment-based biomarker features. Panels (a and d) show H&E, (b and e) alpha-methylacyl-coenzyme A racemase (red) and Hoechst (blue) and (c and f) heat maps of alpha-methylacyl-coenzyme A racemase cell intensity standard deviation in microenvironments in reactive atypia and high grade dysplasia biopsies, respectively. Multivariate analysis showed a population of cells within the high-grade dysplasia biopsy with high alpha-methylacyl-coenzyme A racemase, including a subset with the p16 loss (g) and a p53-high subset (h). Evaluation of the top 5% of alpha-methylacyl-coenzyme A racemase microenvironments showed high levels in the high-grade dysplasia versus reactive atypia biopsy (i)