Mihyang Ha1, Hoim Jeong2, Jong Seong Roh2, Beomgu Lee2, Myoung-Eun Han1, Sae-Ock Oh1, Dong Hyun Sohn3, Yun Hak Kim4. 1. Department of Anatomy, Pusan National University School of Medicine, Yangsan, Republic of Korea. 2. Department of Microbiology and Immunology, Pusan National University School of Medicine, Yangsan, Republic of Korea. 3. Department of Microbiology and Immunology, Pusan National University School of Medicine, Yangsan, Republic of Korea. Electronic address: dhsohn@pusan.ac.kr. 4. Department of Anatomy and Department of Biomedical Informatics, Pusan National University School of Medicine, Yangsan, Republic of Korea; Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea. Electronic address: yunhak10510@pusan.ac.kr.
Abstract
OBJECTIVE: Renal cell carcinoma (RCC) is the most typical type of kidney cancer in adults. Hypercalcemia is a well known paraneoplastic syndrome associated with RCC and recent studies have reported that hypercalcemia is closely related to the poor prognosis of RCC patients. Clear cell RCC (ccRCC) is the most common and aggressive subtype of RCC. Although the histological classification of RCC is important for determination of appropriate treatment strategies, effective biomarkers for predicting prognosis of ccRCC have not yet been identified. Since calcium levels affect the prognosis of RCC patients, we evaluated whether the calcium-sensing genes on the plasma membrane, including those encoding calcium channels, CaSR, GPRC6a, and DYSF, could be used as biomarkers to predict the prognosis of ccRCC patients. METHODS: Information from 537 patients from The Cancer Genome Atlas (TCGA; n = 446) and International Cancer Genome Consortium (ICGC; n = 91) was used in this study. Among these genes, DYSF was the only gene whose expression correlated with overall survival of both TGCA and ICGC patients. RESULTS: Although DYSF gene expression was higher in ccRCC tissue than in normal kidney tissue, Kaplan-Meier curves showed that the survival rate of ccRCC patients with high DYSF expression was significantly higher than that of patients with low DYSF expression (TCGA, P < 0.0001; ICGC, P = 0.0011). We also validated the potential of DYSF as a prognostic biomarker for ccRCC by conducting a time-dependent area under the curve (AUC) analysis and 5-years receiver operating characteristic curve analysis. Finally, multivariate regression analysis revealed that the expression of DYSF is independent of other prognostic parameters (TCGA, P = 0.017; ICGC, P = 0.006). CONCLUSIONS: These results suggested that DYSF may play a suppressive role in the progression of ccRCC and could act as a promising prognostic biomarker for predicting the survival of ccRCC patients.
OBJECTIVE:Renal cell carcinoma (RCC) is the most typical type of kidney cancer in adults. Hypercalcemia is a well known paraneoplastic syndrome associated with RCC and recent studies have reported that hypercalcemia is closely related to the poor prognosis of RCCpatients. Clear cell RCC (ccRCC) is the most common and aggressive subtype of RCC. Although the histological classification of RCC is important for determination of appropriate treatment strategies, effective biomarkers for predicting prognosis of ccRCC have not yet been identified. Since calcium levels affect the prognosis of RCCpatients, we evaluated whether the calcium-sensing genes on the plasma membrane, including those encoding calcium channels, CaSR, GPRC6a, and DYSF, could be used as biomarkers to predict the prognosis of ccRCC patients. METHODS: Information from 537 patients from The Cancer Genome Atlas (TCGA; n = 446) and International Cancer Genome Consortium (ICGC; n = 91) was used in this study. Among these genes, DYSF was the only gene whose expression correlated with overall survival of both TGCA and ICGC patients. RESULTS: Although DYSF gene expression was higher in ccRCC tissue than in normal kidney tissue, Kaplan-Meier curves showed that the survival rate of ccRCC patients with high DYSF expression was significantly higher than that of patients with low DYSF expression (TCGA, P < 0.0001; ICGC, P = 0.0011). We also validated the potential of DYSF as a prognostic biomarker for ccRCC by conducting a time-dependent area under the curve (AUC) analysis and 5-years receiver operating characteristic curve analysis. Finally, multivariate regression analysis revealed that the expression of DYSF is independent of other prognostic parameters (TCGA, P = 0.017; ICGC, P = 0.006). CONCLUSIONS: These results suggested that DYSF may play a suppressive role in the progression of ccRCC and could act as a promising prognostic biomarker for predicting the survival of ccRCC patients.
Authors: Alicja Głuszko; Mirosław J Szczepański; Theresa L Whiteside; Torsten E Reichert; Jacek Siewiera; Nils Ludwig Journal: Cancers (Basel) Date: 2021-08-19 Impact factor: 6.639
Authors: Lilli Winter; Monika Kustermann; Büsra Ernhofer; Harald Höger; Reginald E Bittner; Wolfgang M Schmidt Journal: Life Sci Alliance Date: 2022-07-05