Gewählte Publikation:
Duckenfield, D.
Evaluation of the potential prognostic value of the preoperatively assessed basophil granulocyte count regarding clinical outcomes in non-metastatic clear cell renal cell carcinoma patients
Humanmedizin; [ Diplomarbeit ] ; 2018. pp. 44
[OPEN ACCESS]
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- Autor*innen der Med Uni Graz:
- Betreuer*innen:
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Hutterer Georg
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Pichler Martin
- Altmetrics:
- Abstract:
- Objective: Renal cell carcinoma (RCC) represents the most common malignant tumour of the adult kidney. Inflammatory parameters like the haemoglobin concentration, platelet counts and absolute leukocyte counts have been demonstrated to influence tumour activity and thus might play an important role as prognosticators of survival in various types of cancer. We investigated the potential prognostic significance of the pre-treatment basophil granulocytes count in a European cohort of patients with non-metastatic clear cell RCC.
Materials and Methods: Clinico-pathological data from 677 consecutive, non-metastatic clear cell RCC patients, operated between 2000 and 2010 at a single tertiary academic centre, were evaluated retrospectively. Pre-treatment laboratory parameters were assessed within one week before surgery. Patients were categorized using a cut-off value of 100/µL (basophil granulocytes) according to a calculation by receiver-operating curve (ROC) analysis. Overall survival (OS) and metastasis-free survival (MFS) were assessed using the Kaplan-Meier method. To evaluate the potential prognostic significance of the pre-treatment basophil granulocytes count, a multivariate Cox regression model was performed.
Results: In multivariate analysis, age at operation (<65 vs. >65yrs., HR=1.038 [95%CI=1.023-1.052], p<0.001), as well as pathologic T-stage (T1 vs. T3+T4, HR=1.381 [95%CI=1.012-1.885], p=0.042) were independent predictors regarding OS, whereas tumour grade (G1+G2 vs. G3+G4, HR=1.277 [95%CI=1.000-1.632], p=0.050) was borderline significant and an elevated pre-treatment basophil granulocyte count (<100/µL vs. >100/µL, HR=1.332 [95%CI=0.927-1.914], p=0.121) failed to achieve independent predictor status regarding OS.