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Data supporting the findings of the paper "Single-cell spatial architectures associated with clinical outcome in head and neck squamous cell carcinoma." Files include output of multiplex immunohistochemistry computational image processing workflow for each tumor region and survival data for each patient. The code used to produce the results of this study is available at: https://github.com/kblise/HNSCC_mIHC_paper. Notes about data files: clinicalData.csv = Contains the following columns for each tumor region: sample = tumor region ID dtr = Progression free survival (days to recurrence) tnm = TNM stage anatomy = anatomic site of resection tx = therapy administered area = area in mm2 of tissue region pt .csv files = Matrix of single cells (rows) and marker expression (columns). One file per tumor region (n=47). Other columns include: class = Cell phenotype assigned via hierarchical gating strategy (see below for classes) Location_Center_X and Location_Center_Y = Cartesian coordinates of cell center Cellsp_PD1p = PD-1 expression; 1 = PD-1+, 0 = PD-1- Cellsp_PDL1p = PD-L1 expression; 1 = PD-L1+, 0 = PD-L1- Cellsp_KI67p = Ki-67 expression; 1 = Ki-67+, 0 = Ki-67- Classes, corresponding cell phenotype, and gating strategy used: A = CD8+ T Cell (CD45+ CD20- CD3+ CD8+) B = CD4+ T Helper (CD45+ CD20- CD3+ CD8- FOXP3-) C = B Cell (CD45+ CD20+) D = Macrophage (CD45+ CD20- CD3- CD66B- CD68+) E = Other Immune (CD45+ CD20- CD3- CD66B- CD68- MHCII- CD8- FOXP3-) F = Other Non-Immune (CD45- PANCK- ��SMA-) - excluded from analysis G = Noise - excluded from analysis H = Neoplastic Tumor (CD45- PANCK+) J = Granulocyte (CD45+ CD20- CD3- CD66B+) K = CD4+ Regulatory T Cell (CD45+ CD20- CD3+ CD8- FOXP3+) N = ��SMA+ Mesenchymal (CD45- PANCK- ��SMA+) X = Antigen Presenting Cell (CD45+ CD20- CD3- CD66B- CD68- MHCII+)
Tumor Heterogeneity, Head and Neck Squamous Cell Carcinoma, Multiplex Immunohistochemistry, Tumor Microenvironment, Spatial Proteomics, Immune Compartmentalization, Single-Cell
Tumor Heterogeneity, Head and Neck Squamous Cell Carcinoma, Multiplex Immunohistochemistry, Tumor Microenvironment, Spatial Proteomics, Immune Compartmentalization, Single-Cell
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