SEMA4D and cancer: Here, we analyzed the expression patterns of SEMA4D in the TME and its relationship with immune cell infiltration, microsatellite instability (MSI), the tumor mutational burden (TMB) and immune checkpoints using bioinformatics methods combined with next-generation sequencing (NGS) data and single-cell sequencing across multiple cancers.