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Cancer Med ; 8(9): 4100-4109, 2019 08.
Article in English | MEDLINE | ID: mdl-31183974

ABSTRACT

Cyclin-D1 (CCND1) belongs to the highly conserved cyclin family whose members are characterized by abundant expression during the cell cycle. As an oncogene, high level of CCND1 was observed and related to poor prognosis and tumor recurrence in many cancers. In this study, we focused on the role of CCND1 in the clinical outcome of clear cell renal cell carcinoma (ccRCC). Gene Expression Omnibus database, The Cancer Genome Atlas database, and immunohistochemical staining were used. The mRNA and protein levels of CCND1 were significantly enhanced in ccRCC tumor tissues. However, the low level of CCND1, but not high level of CCND1, was related to poor prognosis and tumor recurrence in ccRCC. Further analysis showed that CCND1 mRNA level decreased with increasing ccRCC tumor grades and the rate of recurrence in ccRCC patients. In a nomogram model, the CCND1 mRNA level was shown to help predict ccRCC patient recurrence. CCND1 is a strong determinant for prediction of recurrence. The patients with high CCND1 level appear to have a more favorable prognosis together with more frequent low-grade tumors and low rate of recurrence. This is the first study to investigate the prognostic roles of CCND1 in ccRCC and discovered that CCND1 had an unconventional positive impact on the clinical outcome of ccRCC patients.


Subject(s)
Carcinoma, Renal Cell/diagnosis , Cyclin D1/genetics , Cyclin D1/metabolism , Down-Regulation , Kidney Neoplasms/diagnosis , Neoplasm Recurrence, Local/diagnosis , Biomarkers, Tumor/genetics , Biomarkers, Tumor/metabolism , Carcinoma, Renal Cell/genetics , Carcinoma, Renal Cell/metabolism , Carcinoma, Renal Cell/pathology , Female , Gene Expression Regulation, Neoplastic , Humans , Kidney Neoplasms/genetics , Kidney Neoplasms/metabolism , Kidney Neoplasms/pathology , Male , Neoplasm Grading , Neoplasm Recurrence, Local/genetics , Neoplasm Recurrence, Local/metabolism , Neoplasm Recurrence, Local/pathology , Nomograms , Prognosis
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