Abstract
Renal cell carcinoma (RCC) is the most lethal urological cancer, and survival greatly depends on early diagnosis. Therefore, reliable, new biomarkers for detection of RCC are required. We assessed serum protein profiles of samples from two institutes with SELDI-TOF MS in duplicate on CM 10 chips at pH 6.0 (set 1:37 RCC + 32 healthy controls (HC), set 2: 20 RCC + 25 HC). Mean peak intensities of detected proteins were compared between RCC and HC with non-parametric testing. Classification trees were built with discriminating peaks using one sample set as training set and the other as independent validation set. We found 15 peaks significantly different (p
| Translated title of the contribution | Identification of two new serum protein profiles for renal cell carcinoma |
|---|---|
| Original language | Undefined/Unknown |
| Pages (from-to) | 401-408 |
| Number of pages | 8 |
| Journal | Oncology reports |
| Volume | 22 |
| Issue number | 2 |
| Publication status | Published - 2009 |