Fig. 4: Immune infiltrate heterogeneity in ESCC. | Nature Communications

Fig. 4: Immune infiltrate heterogeneity in ESCC.

From: Tracking the evolution of esophageal squamous cell carcinoma under dynamic immune selection by multi-omics sequencing

Fig. 4: Immune infiltrate heterogeneity in ESCC.The alternative text for this image may have been generated using AI.

a The ESCC tumor samples (n = 176) are clustered by the score of estimated immune infiltrate. The immune cell population score is estimated using the Danaher method. Each row represents a type of immune cell population. Each column represents a tumor region. Tumor regions are classified as having low levels of immune infiltration (low immune) are shown in green; Regions classified as having high levels of immune infiltration (high immune) are shown in red. If all the tumor regions of the same patient are in the high levels of immune infiltration, the patient is marked red. Patients who have tumors that contain heterogeneous levels of immune infiltration are indicated in orange. The patient who has consistently low levels of immune infiltration is indicated in green. b Pairwise immune and somatic mutations distances between every two tumor regions from the same patient are compared. Spearman’s correlation coefficient (Rs) and corresponding P-value is shown. c Evidence of HLA LOH has been annotated with the most likely timing of the HLA LOH event (n = 11). d Correlation heatmap between the ITH gene score of HLA, B2M and ITH score of tumor immune infiltration cells.

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