Multi-omics analysis identified SPRR2D as a potential biomarker for tumor prognosis and immune microenvironment infiltration: a pan-cancer perspective.

Abstract

Background: Clarification of the molecular mechanism of malignant tumor progression, identification of the key signaling pathways and molecules involved in the processes of invasion and metastasis, and identification of new targets and strategies for effective tumor treatment are extremely important for scientific research and clinical application prospects.

Methods: Based on large-sample data mining, we first evaluated the expression and mutation profiles of SPRR family genes across cancers and then focused on the molecular functions of SPRR2D across cancers.

Results: Multi-omics experiments revealed that SPRR2D is significantly overexpressed in various tumors, especially in LUSC. ROC curve analysis revealed that SPRR2D demonstrated significant diagnostic efficacy across cancers. Cox regression analysis revealed that the expression of SPRR2D was associated with the survival time of patients with various tumors. Moreover, the expression of SPRR2D is closely related to tumor immune infiltration. GDSC data analysis revealed that the expression levels of SPRR1A, SPRR1B, SPRR2A, SPRR3, and SPRR2D are negatively correlated with the sensitivity to gefitinib, trametinib, bosutinib, afatinib, lapatinib, and erlotinib.

Conclusions: From a multi-omics perspective, it was revealed that SPRR2D plays a significant role in regulating tumorigenesis and drug sensitivity in tumors.