A novel anoikis-related prognostic signature associated with prognosis and immune infiltration landscape in colorectal cancer

Abstract

Abstract Background Colorectal cancer (CRC) is one of the most frequently diagnosed malignancy around the world. Anoikis is a special form of programmed cell death induced by the loss of cell adhesion to extracellular matrix (ECM) or improper cell adhesion. It plays an important role in body development, tissue homeostasis, disease occurrence and tumor metastasis. However, the latent impact of Anoikis on the prognosis of CRC patients is insufficient understood. Method Anoikis related genes (ANRGs) integrated from Genecards and Harmonizome portals were used to identify CRC subtypes and to construct a prognostic model for CRC patients. Then, we explored the immune microenvironment and enrichment pathways between different subtypes. Univariate cox and the least absolute shrinkage and selection operator (lasso) analysis were applied to build the ANRGs signature. The prognostic effect of the ANRGs signature was further evaluated. A series of algorithms were used to estimate the difference of the immune microenvironment the low-risk and high-risk group. The correlation between drug sensitivity and ANRGs signature was also analyzed. Results We identified 45 survival-related CRC anoikis related DEGs, 9 genes were selected to construct prognostic models. The prognostic risk score was identified as an independent prognostic factor. Functional analysis showed that high and low risk groups had different immune status and drug sensitivity. Risk scores were combined with CRC clinicopathological features together to construct a nomogram. Conclusion The developed ANRGs signature could act as the biomarker and provide a momentous reference for Individual therapy of CRC patients.