Back

An emerging Ferroptosis-Correlated Genes Character for Renal Cell Carcinoma

Zhang, L.; Zhou, Y.; Zhou, J.

2023-09-08 oncology
10.1101/2023.09.06.23295171 medRxiv
Show abstract

Renal Cell Carcinoma (RCC), composed of various subtypes, faces a prognostic prediction challenge. Ferroptosis, an emerging cell death form, has been considered as a vital factor for the development of cancer. However, it remains a further exploration of the predictive value for ferroptosis-correlated genes in RCC. In our work, we paid attention to the gene expression data related to clinical profiles of RCC patients which derived from public databases, TCGA and ICGC. The least absolute shrinkage and selection operator (LASSO) Cox regression performed to establish an optimally predictive model based on the TCGA data. The RCC patients derived from ICGC applied to the validation of the predictive model above. Under expectation, our observation indicated that major ferroptosis-correlated genes (75%) expressed significantly between tumorous and adjacently normal cells in the TCGA cohort. Combined with the differentially expressed genes (DEGs) (P< 0.05) and overall survival (OS), there were twenty-seven genes eventually approached the subsequent analyses. With the optimal 12-genes model screened by LASSO analysis, we aimed to classify RCC patients into the high-risk or low-risk groups based on the median scores. And we created a novel predictive model based on the 12-genes risk score. Compared with the two groups, our work discovered that patients in the high-risk group presented more observably shrunken OS than the low (P < 0.05). Through the multivariate cox regression, the predictive model became an independent risk factor in OS (HR =2.053, P<0.001). Moreover, the receiver operating characteristic (ROC) curve proved the significantly predictive value for our predictive model. Functional research unexpectedly showed the immune cells and immune function pathways enriched differently, which emphasized the immune role for the progress of RCC. In a word, an emerging ferroptosis-correlated signature might be popular for medical prediction in RCC. The targeted treatment on ferroptosis may be a potential schedule for RCC.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.