Validation of CT radiomics for prediction of distant metastasis after surgical resection in patients with clear cell renal cell carcinoma: exploring the underlying signaling pathways

Radiogenomics study to predict the nuclear grade of renal clear cell carcinoma

“…A total of 13 MRI radiomic features were associated with immune regulation, cell function, tumour proliferation and treatment response in glioblastoma [32] . CT radiomics have been shown to be predictive of postoperative metastasis of ccRCC, which was correlated with ECM-receptor interactions, focal adhesion and PI3-Akt pathways [33] . Our KEGG results are in agreement with prior research revealing the critical role of these pathways in relation to the nuclear grade.…”

“…Furthermore, the Ras signalling pathway, which is related to the HIF pathway, has been reported to be involved in the regulation of ccRCC progression and drug resistance [36] . CT radiomic features correlate with genes associated with clinical outcomes, such as postoperative distant metastasis, overall survival, and immune subtypes of ccRCC [10] , [33] , [37] . Radiomic features-associated genes was enriched in critical pathways for ccRCC development, suggesting that four radiomic features was related to the MAPK, HIF-1 and Ras signalling pathways.…”

Bridging radiomics to tumor immune microenvironment assessment in clear cell renal cell carcinoma

“…8 Another area of research is predicting prognosis 9 and metastasis. 10,11 A few studies worked on inferring response to targeted therapies of RCC and one prior work tried using radiomics to predict response to immunotherapy. 12,13 These studies are limited by small sample sizes and might not work when novel therapies are introduced.…”

A review of radiomics and genomics applications in cancers: the way towards precision medicine

“…The literature on radiogenomics has greatly expanded in the past decade. Radiogenomics has been applied in various types of cancer, including lung cancer [70][71][72], breast cancer [73][74][75], genitourinary cancer [76][77][78], digestive system cancer [79][80][81], and brain cancer [82][83][84]. The comprehensive analysis method of radiogenomics can be used to diagnose and predict patient outcomes such as recurrence, metastasis, and survival of patients with cancer; predict the tumour microenvironment; identify potential molecular biomarkers and targets for clinical diagnosis and treatment; and establish a molecular typing system of variable cancers.…”