SIGLEC5 and gastric adenocarcinoma: Another research by Zhou et al. [48], by microbiome and transcriptome analysis, identified nine differential microbial genera that could classify STAD patients into three subtypes; then, five feature genes (NTN5, MPV17L, MPLKIP, SIGLEC5, and SPAG16) were screened to construct a prognostic model for predicting the OS rate of STAD patients.