Pancancer survival analysis of cancer hallmark genes

Cancer hallmark genes are responsible for the most essential phenotypic characteristics of malignant transformation and progression. In this study, our aim was to estimate the prognostic effect of the established cancer hallmark genes in multiple distinct cancer types. RNA-seq HTSeq counts and survival data from 26 different tumor types were acquired from the TCGA repository. DESeq was used for normalization. Correlations between gene expression and survival were computed using the Cox proportional hazards regression and by plotting Kaplan-Meier survival plots. The false discovery rate was calculated to correct for multiple hypothesis testing. Signatures based on genes involved in genome instability and invasion reached significance in most individual cancer types. Thyroid and glioblastoma were independent of hallmark genes (61 and 54 genes significant, respectively), while renal clear cell cancer and low grade gliomas harbored the most prognostic changes (403 and 419 genes significant, respectively). The eight genes with the highest significance included BRCA1 (genome instability, HR 4.26, p<1E-16), RUNX1 (sustaining proliferative signaling, HR 2.96, p=3.1E-10) and SERPINE1 (inducing angiogenesis, HR 3.36, p=1.5E-12) in low grade glioma, CDK1 (cell death resistance, HR=5.67, p=2.1E-10) in kidney papillary carcinoma, E2F1 (tumor suppressor, HR 0.38, p=2.4E-05) and EREG (enabling replicative immortality, HR 3.23, p=2.1E-07) in cervical cancer, FBP1 (deregulation of cellular energetics, HR 0.45, p=2.8E-07) in kidney renal clear cell carcinoma and MYC (invasion and metastasis, HR 1.81, p=5.8E-05) in bladder cancer. We observed unexpected heterogeneity and tissue specificity when correlating cancer hallmark genes and survival. These results will help to prioritize future targeted therapy development in different types of solid tumors.

Automated summary

This study aimed to estimate the prognostic effect of cancer hallmark genes in multiple distinct cancer types. The results showed significant heterogeneity and tissue specificity in the correlation between these genes and survival, providing valuable information for future targeted therapy development in solid tumors.