No abstract

Purpose. To retrospectively evaluate the clinical significance of radiotherapy for oligometastases of bone in prostate cancer (PCa). Methods and Materials. Between 2003 and 2008, 35 PCa patients with oligometastases of bone were treated with radiotherapy. Results. The median radiotherapy dose was 40 Gy. The 3-year overall survival rates for all patients, for patients that received a radiotherapy dose of ≥40 Gy (n = 21) and for those that received <40 Gy (n = 14), were 77.2%, 90.5%, and 50.0%, respectively. Fourteen out of 16 patients (87.5%) who had pain were improved 1 month after radiotherapy. The median duration of pain relief was 12 months. Pathological fracture and spinal cord compression (SCC) were not seen at the treated sites but developed at nonirradiated sites in three patients (8.6%) and in one patient (2.8%), respectively. Although the high-dose group (≥40 Gy) achieved better survival than the low-dose group (<40 Gy), it was not independent prognostic factor in multivariable analysis. Conclusions. Radiotherapy of bone oligometastases in PCa was effective for long-term pain relief. Pathological fracture and SCC were not seen at the treated sites. A larger clinical trial is warranted to study the actual benefit following radiotherapy for oligometastases of bone in PCa.

No abstract

Objectives:To gain information about overexpressed antigens in renal cell carcinoma (RCC) by using a chemical proteomics approach. Methods: RCC cell line 769P was cultured and proteome analysis was subsequently carried out in the culture supernatants. By using sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and tandem mass spectrometry (LC-MS/MS), proteins in the culture supernatants were searched. A MEDLINE search to define the functions of the identified proteins was carried out. Results: Four differentially regulated proteins (profilin 1, amyloid beta A4 protein [APP], proprotein convertase subtilisin/ kexin type 1 inhibitor [ProSAAS], galectin-3-binding protein [LGALS3BP]) were selected. These were not overexpressed in normal kidney tissue or reported in RCC. Their levels were measured through western blotting of normal kidney and RCC tissues. No differences were observed in the expression levels of APP, ProSAAS or LGALS3BP between RCC and normal kidney tissues. Profilin 1 was overexpressed in RCC tissue. On the basis of this observation, an immunohistochemical analysis of profilin 1 in normal kidney and RCC tissues was carried out. In normal tissues, tubules that were sources of RCC stained positive for profilin 1. In RCC tissue, in contrast, the stromal cells in the tumors stained positive. Conclusions: Profilin 1 can be a key element in the pathological processes of RCC, such as tumorigenesis and/or tumor growth. Thus, it has the potential to serve as a diagnostic or progression biomarker and therapeutic target in RCC.

Although various samples, including tissue, cells, serum, and urine, from patients with renal cell carcinoma (RCC) have been analyzed, biomarkers with diagnostic value have yet to be identified. We used a proteomics approach to analyze cyst fluid in cases of cyst-associated RCC to identify accessible and abundant proteins that are overexpressed and/or secreted by RCC cells. Proteins in the cyst fluid were separated by reverse-phase high-performance liquid chromatography and agarose two-dimensional gel electrophoresis and were identified by tandem mass spectrometry. We conducted a National Center for Biotechnology Information search and a MEDLINE search to predict the function of these identified proteins and to select a tumor-marker candidate protein. Our search resulted in the identification and selection of the differentially regulated protein known as 14-3-3 protein beta/alpha, which was overexpressed in cyst fluid from cyst-associated RCC but has not been previously associated with RCC. We then measured its incidence through Western blotting of various normal and RCC samples (serum, urine, tissue, and cyst fluid). The expression levels of 14-3-3 protein beta/alpha were higher in urine samples from patients with RCC than in samples from healthy volunteers. Receiver operating characteristic (ROC) curve analyses were performed to assess this potential biomarker; these data (area under the ROC curve value was 0.8813) indicate a high degree of accuracy for this screening method. 14-3-3 Protein beta/alpha may be a diagnostically useful biomarker for early diagnosis of RCC.