DNA Methylation in INA , NHLH2 , and THBS4 Is Associated with Metastatic Disease in Renal Cell Carcinoma

• Published in: Cancers Vol. 14; no. 1; p. 39
• Main Authors: Katzendorn, Olga, Peters, Inga, Dubrowinskaja, Natalia, Moog, Joana M, Reese, Christel, Tezval, Hossein, Faraj Tabrizi, Pouriya, Hennenlotter, Jörg, Lafos, Marcel, Kuczyk, Markus A, Serth, Jürgen
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 22.12.2021; MDPI
• Subjects: Binding sites; Biomarkers; Cancer therapies; Colorectal cancer; CpG islands; Deoxyribonucleic acid; DNA; DNA methylation; Epigenetics; Gene expression; Genomes; Kidney cancer; Mathematical models; Medical prognosis; Metastases; Metastasis; Mutation; Patients; Proteins; Regression analysis; Renal cell carcinoma; Software; Statistical analysis; Tumors; NHLH2; renal cell carcinoma; metastasis; signature; hypermethylation; INA; prognosis; THBS4
• ISSN: 2072-6694; 2072-6694
• DOI: 10.3390/cancers14010039

The detection of DNA methylation in primary tumor tissues could be relevant for early stratification of aggressive renal cell carcinomas (RCCs) as a basis for future personalized adjuvant therapy. Methylated TCGA KIRC based candidate CpG loci in , and that are possibly associated with RCC metastasis were evaluated by pyrosequencing in 154 paired normal adjacent and primary tumor tissues, as well as in 202 metastatic tissues. Statistical analysis was carried out by bivariate logistic regression for group comparisons, log rank survival analysis, and unsupervised and supervised analysis for the classification of tumors. Increased methylation of , and loci were significantly associated with distant metastasis in primary tumors ( < 0.05), tissue-specific hypermethylation in metastatic ( = 7.88 × 10 , 5.57 × 10 , 2.06 × 10 ) and tumor tissues ( = 3.72 × 10 , 3.17 × 10 , 1.58 × 10 ), and shortened progression free survival in patients ( = 0.03). Combined use of CpG site-specific methylation permits the discrimination of tissues with metastatic disease and reveals a significant contribution of CpG sites in all genes to the statistical classification model. Thus, metastasis in RCC is significantly associated with methylation alterations in , and loci, providing independent information for the potential early detection of aggressive renal cancers as a rationale for stratifying patients to adjuvant therapies.