Abstract
Immune infiltration remains at a high level in clear cell renal cell carcinoma
(ccRCC). It has been confirmed that immune cell infiltration in tumor
microenvironment (TME) is intimately bound up with the progression and the
clinical outcome of ccRCC. The prognostic model, developed based on different
immune subtypes of ccRCC, has a predictive value in patients’ prognosis.
RNA sequencing data, somatic mutation data of ccRCC and clinical information
were acquired from the cancer genome atlas (TCGA) database. The key
immune-related genes (IRGs) were selected and by univariate Cox, LASSO, and
multivariate Cox regression analyses. Then the ccRCC prognostic model was
developed. The applicability of this model was verified in the independent
dataset GSE29609. Thirteen IRGs including CCL7, ATP6V1C2, ATP2B3, ELAVL2,
SLC22A8, DPP6, EREG, SERPINA7, PAGE2B, ADCYAP1, ZNF560, MUC20, and ANKRD30A were
finally selected and a 13-IRGs prognostic model was developed. Survival analysis
demonstrated that when compared with the low-risk group, patients in the
high-risk group had a lower overall survival (p<0.05). AUC values based
on the 13-IRGs prognostic model used to predict 3- and 5-year survival of ccRCC
patients were greater than 0.70. And risk score was an independent prognostic
factor (p<0.001). In addition, nomogram could accurately predict ccRCC
patient’s prognosis. This 13-IRGs model can effectively evaluate the
prognosis of ccRCC patients, and also provide guidance for the treatment and
prognosis of ccRCC patients.
Key words
TCGA - clear cell renal cell carcinoma - immune microenvironment - prognosis - signature