OBJECTIVE: The aim of this study was to evaluate the prognostic relevance of melanoma-associated antigen (MAGE) A9 in renal cell carcinoma (RCC). MATERIAL AND METHODS: Immunohistochemical staining for MAGE A9 was evaluated in a tissue microarray containing 587 RCC tumour tissue samples. Nuclear MAGE A9 expression was reviewed using a semiquantitative score. Follow-up has been surveyed since 1990 in a prospectively conducted tumour database. The effect of MAGE A9 expression on cancer-specific survival (CSS) was assessed by univariate and multivariate Cox regression analyses. Subgroup analyses were performed for non-metastatic and metastatic disease. RESULTS: Median age in all patients was 63.2 years, 354 patients were male and 233 female, and 108 patients had metastatic disease. Median follow-up was 5.6 years for all patients and 9.0 years for patients still alive (range 0-19.9 years). High nuclear MAGE A9 expression was present in 326 tumour specimens (55.5%). In multivariate analyses high nuclear MAGE A9 expression was associated with poor CSS (p = 0.0027). Furthermore, tumour stage, lymph-node and distant metastasis, Fuhrman grade G3/4, Karnofsky index < 80% and male gender were associated with poor CSS. In subgroup analyses, results were concordant for patients with non-metastatic disease. In patients with metastatic disease, only Karnofsky index > 80% was a significant predictor for CSS; MAGE A9 expression could not be shown to be associated with CSS (p = 0.161). CONCLUSIONS: High nuclear MAGE A9 expression is independently associated with poor CSS in patients with non-metastatic RCC. The assessment of MAGE A9 expression can provide additional prognostic information and should be used in decision-making regarding adjuvant therapy in patients with non-metastatic disease.
OBJECTIVE: The aim of this study was to evaluate the prognostic relevance of melanoma-associated antigen (MAGE) A9 in renal cell carcinoma (RCC). MATERIAL AND METHODS: Immunohistochemical staining for MAGE A9 was evaluated in a tissue microarray containing 587 RCC tumour tissue samples. Nuclear MAGE A9 expression was reviewed using a semiquantitative score. Follow-up has been surveyed since 1990 in a prospectively conducted tumour database. The effect of MAGE A9 expression on cancer-specific survival (CSS) was assessed by univariate and multivariate Cox regression analyses. Subgroup analyses were performed for non-metastatic and metastatic disease. RESULTS: Median age in all patients was 63.2 years, 354 patients were male and 233 female, and 108 patients had metastatic disease. Median follow-up was 5.6 years for all patients and 9.0 years for patients still alive (range 0-19.9 years). High nuclear MAGE A9 expression was present in 326 tumour specimens (55.5%). In multivariate analyses high nuclear MAGE A9 expression was associated with poor CSS (p = 0.0027). Furthermore, tumour stage, lymph-node and distant metastasis, Fuhrman grade G3/4, Karnofsky index < 80% and male gender were associated with poor CSS. In subgroup analyses, results were concordant for patients with non-metastatic disease. In patients with metastatic disease, only Karnofsky index > 80% was a significant predictor for CSS; MAGE A9 expression could not be shown to be associated with CSS (p = 0.161). CONCLUSIONS: High nuclear MAGE A9 expression is independently associated with poor CSS in patients with non-metastatic RCC. The assessment of MAGE A9 expression can provide additional prognostic information and should be used in decision-making regarding adjuvant therapy in patients with non-metastatic disease.
Authors: G Hatiboglu; J Huber; E Herpel; I V Popeneciu; J Nyarangi-Dix; D Teber; B A Hadaschik; S Pahernik; S Duensing; M Hohenfellner Journal: Urologe A Date: 2015-09 Impact factor: 0.639
Authors: Till J Meyer; Stefan Hartmann; Gisela Wohlleben; Muna Brisam; Axel Seher; Alexander C Kübler; Bülent Polat; Urs D A Müller-Richter Journal: Mol Clin Oncol Date: 2018-01-19
Authors: Yu Qi; Ke Xin Cao; Fu Chen Xing; Chun Yang Zhang; Qi Huang; Kai Wu; Feng Biao Wen; Song Zhao; Xin Li Journal: Oncol Lett Date: 2017-07-20 Impact factor: 2.967