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A risk stratification model based on four novel biomarkers predicts prognosis for patients with renal cell carcinoma
BACKGROUND: Accurate prediction of the prognosis of RCC using a single biomarker is challenging due to the genetic heterogeneity of the disease. However, it is essential to develop an accurate system to allow better patient selection for optimal treatment strategies. ARL4C, ECT2, SOD2, and STEAP3 ar...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | World J Surg Oncol |
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| Κύριοι συγγραφείς: | , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BioMed Central
2020
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7584101/ https://ncbi.nlm.nih.gov/pubmed/33092599 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12957-020-02046-9 |
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