An inflammation-related signature could predict the prognosis of patients with kidney renal clear cell carcinoma

Abstract

Background: Kidney renal clear cell carcinoma (KIRC) is an inflammation-related carcinoma, and inflammation has been recognized as an important factor in inducing carcinogenesis. To further explore the role of inflammation in KIRC, we developed an inflammation-related signature and verified its correlation with the tumor micro-environment.Methods: After the differential inflammation-related prognostic genes were screened by Lasso regression, the inflammation-related signature (IRS) was constructed based on the risk score of multivariate Cox regression. Then, the prognostic value of the IRS was evaluated by Kaplan-Meier analysis, receiver operating characteristic (ROC) curve analysis and multivariate Cox regression. Gene set variation analysis (GSVA) was applied to screen out enriched signaling pathways. Infiltrated immune cells, tumor mutational burden (TMB) and immune checkpoints were explored by CIBERSORTx and maftool.Results: Four genes (TIMP1, PLAUR, CCL22, and IL15RA) were used to construct the IRS in patients with KIRC. Kaplan-Meier analysis and multivariate Cox regression identified that the IRS could independently predict the prognosis of patients with KIRC in the training and validation groups. The diagnostic value of the nomogram increased from 0.811 to 0.845 after adding the IRS to the multiparameter ROC analysis. The GSVA results indicated that IRS was closely related to primary immunodeficiency and antigen processing and presentation. The immune checkpoint LAG3 was highly expressed in patients with high-risk score (p < 0.05), while CD274 (PD-L1) and HAVCR2 were highly expressed in patients with low-risk score (p < 0.001). There was a significant positive correlation between the high-risk score group and CD8+ T, activated CD4+ memory T, gamma and delta regulatory T and M0 macrophage cells, while the low-risk score group was negatively associated with B memory, plasma, resting CD4+ memory T, activated NK, M1 macrophages and resting mast cells.Conclusion: We found that the IRS might serve as a biomarker to predict the survival of KIRC. Moreover, patients with high or low-risk score might be sensitive to immune drugs at different immune checkpoints.

Adhesion-regulating molecule 1 (ADRM1) can be a potential biomarker and target for bladder cancer

“…The Cancer Genome Atlas ( www.gdc.cancer.gov , TCGA) 24 repository provided both the expression and clinical data encompassing BC tissues and adjacent non-tumor tissues. Then, the ‘limma’ package was employed to compare ADRM1 expression between 19 adjacent non-tumor samples and 414 BC samples, as previous description 26 . At same time, an investigation into ADRM1 expression in pan-cancer was undertaken.…”

Chronobiology of the Tumor Microenvironment: Implications for Therapeutic Strategies and Circadian-Based Interventions

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A novel endothelial-related prognostic index by integrating single-cell and bulk RNA sequencing data for patients with kidney renal clear cell carcinoma

“…Nevertheless, the effectiveness of the current treatment is far from satisfactory. Under the guidance of precision medicine, doctors try to find new targets to cure KIRC and choose the optimal treatment for KIRC patients by screening powerful biomarkers (Yu et al, 2022).…”