Spatial UMAP and Image Cytometry for Topographic Immuno-oncology Biomarker Discovery.

ABSTRACT: Multiplex immunofluorescence (mIF) can detail spatial relationships and complex cell phenotypes in the tumor microenvironment (TME). However, the analysis and visualization of mIF data can be complex and time-consuming. Here, we used tumor specimens from 93 patients with metastatic melanoma to develop and validate a mIF data analysis pipeline using established flow cytometry workflows (image cytometry). Unlike flow cytometry, spatial information from the TME was conserved at single-cell resolution. A spatial uniform manifold approximation and projection (UMAP) was constructed using the image cytometry output. Spatial UMAP subtraction analysis (survivors vs. nonsurvivors at 5 years) was used to identify topographic and coexpression signatures with positive or negative prognostic impact. Cel

SUBMITTER: Giraldo NA 

PROVIDER: S-EPMC8610079 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature