| Literature DB >> 27358750 |
M E Knott1, J N Minatta2, L Roulet2, G Gueglio2, L Pasik1, S M Ranuncolo1, M Nuñez3, L Puricelli1, M S De Lorenzo4.
Abstract
BACKGROUND: The finding of new biomarkers is needed to have a better sub-classification of primary renal tumors (RCC) as well as more reliable predictors of outcome and therapy response. In this study, we evaluated the role of circulating FGF21, an endocrine factor, as a diagnostic and prognostic biomarker for ccRCC.Entities:
Keywords: Clear cell renal cell carcinoma; Prognosis biomarker; Serum fibroblast growth factor 21
Year: 2016 PMID: 27358750 PMCID: PMC4922529 DOI: 10.4172/2155-9929.S2-015
Source DB: PubMed Journal: J Mol Biomark Diagn
Age and gender characterization of HC and patient populations.
| n | Age | |||
|---|---|---|---|---|
| Median | Range | |||
| HC | Men | 25 | 42 | 23-63 |
| Women | 26 | 44.5 | 20-63 | |
| ccRCC | Men | 69 | 61 | 42-85 |
| Women | 29 | 57.5 | 43-75 | |
| RCC chromophobe | Men | 8 | 55 | 23-71 |
| Women | 6 | 57.5 | 31-75 | |
Figure 1Association of the serum FGF21 levels with age (A) and gender (B) in the healthy control (HC) population.
Figure 2Spearman's rank correlation between the serum FGF21 levels and metabolic parameters in the healthy control (HC) population.
Figure 3Serum FGF21 levels in healthy controls (HC) and patient populations (ccRCC). (Kruskal Wallis test: p<0.0001). Md, median.
Figure 4Serum FGF21 levels showed no association with the triglycerides levels. (Spearman's rank correlation test, NS).
Figure 5Serum FGF21 levels among the different stages (I to IV) of the ccRCC patients. (Kruskal Wallis test, p=0.44).
Association between the serum FGF21 levels and clinico-pathological parameters of ccRCC patients.
| Parameter | FGF21 | Χ2 Test, p value | |
|---|---|---|---|
| High/Total (%) | |||
| Sex (n=98) | M | 33/70 (47.1) | p=0.27 |
| W | 16/28 (57.1) | ||
| Age (n=98) | <60 | 24/48 (50.0) | P=1.00 |
| ≥60 | 25/50 (50.0) | ||
| Obesity (n=95) | No | 42/82 (51.2) | p=0.39 |
| Yes | 5/13 (38.5) | ||
| Risk Factors (n=92) | No | 10/21 (47.6) | p=0.89 |
| Ye s | 35/71 (49.3) | ||
| TG (n=30) | High | 2/3 (66.7) | p=0.9 |
| Low | 17/27 (63.0) | ||
| Stage (n=98) | I | 19/37 (51.4) | p=0.68 |
| II | 5/14 (35.7) | ||
| III | 10/20 (50.0) | ||
| IV | 15/27 (55.6) | ||
| Fuhrman Grade (n=94) | 1 | 1/3 (3.3) | p=0.77 |
| 2 | 11/25 (44.0) | ||
| 3 | 20/43 (46.5) | ||
| 4 | 13/23 (56.5) | ||
| Tumor Size (n=95) | 1 | 23/45 (51.5) | p=0.57 |
| 2 | 7/19 (36.8) | ||
| 3 | 13/25 (52.0) | ||
| 4 | 4/6 (66.7) | ||
| Metastasis (n=98) | No | 35/73 (47.9) | p=0.49 |
Figure 6Kaplan-Meier survival curve for the association between FGF21 serum levels and disease-free survival (DFS) for ccRCC patients. Patients were categorized as low-FGF21 and high-FGF21 expression groups according to the optimal cut-off value. Survival analysis was performed using Kaplan-Meier analysis, with the differences between curves analyzed via a long-rank test (Log-Rank test: 3.28, p=0.07).
Classification tree analysis for the serum FGF21 levels and some prognosis predictors.
| Variable | DFS | |||||||
|---|---|---|---|---|---|---|---|---|
| First node | Stage=I | Stage ≥ II | ||||||
| Second node | Risk Factor=No | Risk Factor=Yes | FGF21=“low” | FGF21=“high” | ||||
| Third node | Sex=M | Sex=F | Age<60 | Age ≥ 60 | Age <60 | Age ≥ 60 | Sex= M | Sex=F |
Figure 7Decision tree analysis to determine the effect of relevant clinico-pathological parameters on disease free survival (DFS) of ccRCC. Variables are represented as nodes that sequentially split according to those with the highest effect on variation in data. S: Stage. For a better visualization only node I, II and III are shown.