SPP1 is a prognostic related biomarker and correlated with tumor-infiltrating immune cells in ovarian cancer

Abstract

Background Secreted phosphoprotein 1 (SPP1) plays a vital role in tumor progression of multiple cancer types However, it still awaits further exploration whether SPP1 is a bystander or an actual player in the modulation of immune infiltration in ovarian cancer. Methods In this study, the expression level of SPP1 was identified by Oncomine, GEPIA and TIMER databases, and the result of SPP1 immumohistochemical staining was acquired by The HPA database. The impact of SPP1 expression level on the clinical outcome of ovarian cancer patients were evaluated via Kaplan–Meier Plotter and PrognoScan dataset. Immune infiltration analyses were conducted using TIMER and TISIDB dataset. In addition, Functional enrichment analyses were performed with Metascape and GeneMANIA database. To verify these findings from the public database, the results were validated in a cohort of ovarian cancer patients. Results SPP1 was found to be overexpressed in ovarian tumor tissues and high SPP1 expression was correlated with shorter survivals. Notably, SPP1 expression was positively correlated with infiltrating levels of CD4 + T cells, CD8 + T cells, macrophages, neutrophils, and dendritic cells. Furthermore, SPP1 expression level showed strong correlation with diverse immune cells in ovarian cancer. Of note, functional enrichment analysis suggested that SPP1 was strongly correlated with immune response. Conclusions These findings imply that SPP1 is correlated with prognosis and immune cell infiltrating, offering a new potential immunotherapeutic target in ovarian cancer. Trial registration Not applicable.

SOAR elucidates disease mechanisms and empowers drug discovery through spatial transcriptomics

“…This spatial pattern aligns with previous findings that tumor progression can induce SPP1 expression in macrophages 22 . Our results indicate that CXCL16 and SPP1 are likely associated with pro-inflammatory and pro-tumor responses, respectively, which aligns with previous findings 12, 13, 16, 23 . Altogether, these results demonstrate that even without histological annotation, SOAR could identify biologically relevant genes with localized expression patterns.…”

“…Chemokine genes like CXCL16 are known to be associated with immune activation and the prognosis of cancer 13, 14 , and their expression levels were found to have significant spatial pattern variation in cancer samples 12, 15 . SPP1 (secreted phosphoprotein 1) has been shown to be overexpressed in different types of tumors 16, 17 and promote tumor progression and metastasis 18, 19 . Therefore, as a case study, we visualized the spatial variability of CXCL16 and SPP1 in our curated breast cancer samples (Supplementary Fig.…”

Decoding the complexity of delayed wound healing followingEnterococcus faecalisinfection

“…Importantly, we detected outgoing signals from keratinocytes to other cells associated with EGF and SPP1 signaling pathways. Ligand:receptor pairs in the infected niche ( Figure S2D ) included Hbegf:Egfr for the EGF pathway and Spp1:Cd44, Spp1:(Itga5+Itgb1), Spp1:(Itga9+Itgb1), and Spp1:(Itgav+Itgb3) for the SPP1 pathway ( Figures 2L , S2D , and S2E ), that are known to induce immunosuppression (Cheng et al, 2023; Gao et al, 2022). Remarkably, we observed the enrichment of keratinocyte-endothelial cell ligand:receptor pairs ( Figure S3 and Table S6 ).…”

Integrated histopathology, spatial and single cell transcriptomics resolve cellular drivers of early and late alveolar damage in COVID-19

“…5F-H). Macrophage-derived SPP1 has also been implicated in various cancers (Gao et al , 2022; Qi et al , 2022), suggesting that greater exploration is required to understand the mechanism of action in disease contexts. Furthermore, OPN inhibition in a mouse model of IPF demonstrated decreased fibrosis, suggesting a candidate for therapeutic targeting (Hatipoglu et al , 2021).…”