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
| 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 |
Bibliographical note
ISI:000267858200024UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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