Brain natriuretic peptide precursor (NT-pro-BNP) levels predict for clinical benefit to sunitinib treatment in patients with metastatic renal cell carcinoma
Sunitinib is an oral, multitargeted tyrosine kinase inhibitor that has been approved for the treatment of metastatic renal cell carcinoma. Although the majority of sunitinib-treated patients receive a clinical benefit, almost a third of the patients will not respond. Currently there is no available marker that can predict for response in these patients.
Methods
We estimated the plasma levels of NT-pro-BNP (the N-terminal precursor of brain natriuretic peptide) in 36 patients that were treated with sunitinib for metastatic clear-cell renal carcinoma.
Results
From the 36 patients, 9 had progressive disease and 27 obtained a clinical benefit (objective response or disease stabilization). Increases in plasma NT-pro-BNP were strongly correlated to clinical outcome. Patients with disease progression increased plasma BNP at statistically significant higher levels than patients that obtained a clinical benefit, and this was evident from the first 15 days of treatment (a three-fold increase in patients with progressive disease compared to stable NT-pro-BNP levels in patients with clinical benefit, p < 0.0001). Median progression-free survival was 12.0 months in patients with less than 1.5 fold increases (n = 22) and 3.9 months in patients with more than 1.5 fold increases in plasma NT-pro-BNP (n = 13) (log-rank test, p = 0.001).
Conclusions
This is the first time that a potential "surrogate marker" has been reported with such a clear correlation to clinical benefit at an early time of treatment. Due to the relative small number of accessed patients, this observation needs to be further addressed on larger cohorts. More analyses, including multivariate analyses are needed before such an observation can be used in clinical practice.
Background
Sunitinib is an oral, multitargeted tyrosine kinase inhibitor of VEGFR-1, VEGFR-2, Fms-like tyrosine kinase receptor 3 (FLT3), c-KIT (stem-cell factor [SCF] receptor) and PDGFR [1] that has shown clinical activity in the treatment of metastatic renal cell carcinoma. The majority of sunitinib-treated renal cancer patients obtain a clinical benefit in the form of either objective response or disease stabilization (31% and 48% respectively in the large, phase III trial [2]). Treatment with sunitinib results in alterations of several plasma proangiogenic factors, as sVEGFR2, VEGF, PDGF and PIGF [3]. However, none of these markers has a predictive value for response and the search for a "surrogate marker" is still ongoing [4].
Cardiac toxicity is reported to be a common adverse event in sunitinib-treated patients [5]. Schmidinger et al, reported that from 86 renal cancer patients that were treated with sunitinib or sorafenib, 33.6% experienced a cardiac event, 40.5% had ECG changes and 18% were symptomatic [6]. On a report by Rixe and colleagues, patients that developed hypertension during treatment (or other sunitinib-related adverse events) had a better outcome than normotensive ones [7], but this observation remains to be confirmed. Brain natriuretic peptide (BNP) has been shown to be associated with left ventricular dysfunction [8]. This peptide is secreted by atrial and/or ventricular myocardial cells due to volume or pressure overload, according to the severity of myocardial dysfunction. Pro-BNP, the precursor of BNP may provide the same diagnostic information as BNP, but less is known about its clinical utility. Brain natriuretic peptide (BNP) and N-terminal (NT) pro-BNP are useful as diagnostic objective markers of chronic heart failure (CHF) due to systolic and diastolic dysfunction and important prognostic predictors [9].
Methods
We recently reported on a cohort of patients treated with sunitinib for metastatic clear-cell renal carcinoma in our department [10]. Following-up these data we estimated the plasma levels of NT-pro-BNP in 36 sunitinib-treated patients as a marker for cardiac toxicity. Sunitinib was administrated in the usual scheme (50 mg daily, four weeks on treatment, followed by two weeks off treatment, on a six - week cycle). During the first two cycles, plasma was obtained every 2 weeks with a complete blood count and a full biochemical profile. All patients had an appropriate renal, liver, cardiac and bone marrow function [10]. The plasma levels of NT-pro-BNP were analyzed using Elecsys 2010 automated immunoassay analyzer. The study was approved by the local ethics review board (Theagenion Cancer Hospital Research and Ethics Committee) and was carried out in accordance with the Declaration of Helsinki and Good Clinical Practice Guidelines. All patients had confirmed metastatic disease (CT and/or MRI and bone scan), were informed for their participation and signed the appropriate consent form.
Statistical Analysis
The Chi-square test was used for testing significance of correlation for categorical variables. Univariate comparisons of Plasma NT-pro-BNP levels as well as changes from baseline where performed with the Wilcoxon non-parametric test. Logistic regression analysis was used in order to assess jointly the effects of baseline Plasma NT-pro-BNP levels and day 15 changes on disease progression. The area under the Receiver Operating Characteristic (ROC) curve is also reported. Time to event curves were calculated with the Kaplan-Meier method. Indicative cutpoint determination in PFS analysis was made using the method of Contal and O'Quigley (1999) [11] but there was no formal assessment of the significance of the cutpoint due to the small size of the sample.
Results
Data on the patient cohort are presented on table 1. At the end of cycle 2, patients were assessed for response. Patients that obtained a clinical benefit (CB, disease stabilization or objective response according to the RECIST criteria) remained on treatment, whilst patients with progressive disease (PD) were discontinued. From the 36 patients, 9 had progressive disease and 27 obtained a clinical benefit (11 had disease stabilization and 16 had partial responses). Development of hypertension during the first two cycles did not predict for response (37.5% in the PD group and 40.74% in the CB group, p = 0.8).
Table 1
Patient characteristics
Patient characteristics
%
Number
Total included
36
100
Assessable for response
36
100
Sex
Male
26
72
Female
10
28
Age
Median
62
Range
25-75
Performance status
0
16
44.4
1
16
44.4
2
4
11.1
MSKCC criteria
Low risk
2
5.6
Intermediate risk
15
41.7
High risk
19
48.7
Previous treatments
Nephrectomy
30
83.3
Cytokines
15
41.7
Radiotherapy
10
27.8
Metastatic sites
Lung
24
66.7
Bone
10
27.8
Lymph nodes
7
19.4
Liver
4
11.1
Local relapse
2
5.6
Other
5
13.9
Plasma NT-pro-BNP was increased during treatment and did not return to baseline values during the off-treatment period. This increase was not associated to changes in arterial pressure or decreased left ventricular ejection fraction, as it was assessed by echocardiogram or MUGA test. Baseline values as well as increases in plasma NT-pro-BNP were strongly correlated to clinical outcome. Patients with disease progression had lower baseline values and increased plasma BNP at statistically significant higher levels than patients that obtained a clinical benefit (table 2), and this was evident from the first 15 days of treatment. Using logistic regression we assessed the joint effect of baseline values and change at 15 days on disease progression in order to depict the most significant predictor. Since in the logistic regression model baseline NT-pro-BNP levels were not statistically significant while change at 15 days was (p-value = 0.2912 and 0.0274 respectively) it appears that the latter has most of the information in separating the two groups. Regression to the mean might have influenced this result. Furthermore, the area under the ROC curve for the change at 15 days was 94.9%, while the high correlation between change at 15 days and disease progression is also depicted in figure 1 through the sharp increase in predicted probability of disease progression when there is an increase in plasma NT-pro-BNP levels.
Table 2
Median and first and third quartile levels (pg/ml) and medianfold-increase in plasma NT-pro-BNP in patients receiving sunitinib according to clinical outcome after the first two cycles of treatment.
Baseline
Actual values after baseline
Median fold
change to baseline
Day15
Day30
Day45
Day75
Clinical outcome
N
Median
Q1-Q3
Median
Q1-Q3
Median
Q1-Q3
Median
Q1-Q3
Median
Q1-Q3
Day15
Day30
Day45
Day75
Disease progression
9
61.1
39.5-120.4
132.3
75.7-341.2
145.8
96.6-553.3
576.8
54.5-827.0
344.0
191.9-1071.0
2.8
3.9
8.9
5.4
Clinical benefit
27
149.0
97.7-535.6
179.5
80.5-337.5
215.2
87.4-380.6
241.7
111.2-555.5
260.1
120.6-637.4
1.0
1.0
0.9
0.9
p-value
0.021
0.768
0.951
0.726
0.374
0.0002
0.002
0.003
0.025
Note: Q1 and Q3 are the first and third quartiles respectively
Figure 1
Predicted probability of disease progression according to fold-increase in plasma NT-pro-BNP after two weeks of sunitinib treatment. The effect of increase is statistically significant (p-value = 0.0274) but the 95% confidence limits of predicted probability are wide due to the small size of the sample (shaded area).
Median PFS was 6.9 months in patients (n = 15) with increases in plasma NT-pro-BNP after 15 days of treatment and 15.8 months in patients (n = 20) where plasma NT-pro-BNP remained at the baseline or lower values (p = 0.036, log-rank test).
We further explored the effect of change at 15 days on PFS in order to select with a statistical technique an alternative cutpoint for grouping the patients into separate groups. By testing several alternatives, the maximum value of the log-rank statistic was obtained at the 1.5 fold change. Median PFS (figure 2) was 3.9 months in patients (n = 13) with more than 1.5 fold increases in plasma NT-pro-BNP after 15 days of treatment and 12.0 months in patients (n = 22) where plasma NT-pro-BNP showed less than 1.5 fold increases or remained at the baseline or lower values (p = 0.001, log-rank test).
Figure 2
Progression-free-survival in metastatic renal cell carcinoma patients according to fold-increase in plasma NT-pro-BNP after two weeks of sunitinib treatment. Median PFS was 12.0 months in patients with less than 1.5 fold increases or lower or equal to baseline NT-pro-BNP levels (n = 22) and 3.9 months in patients with more than 1.5 fold increases in plasma NT-pro-BNP (n = 13) (log-rank test, p = 0.001).
NT-pro-BNP levels in healthy population are depended on age and gender [12]. In our cohort of metastatic RCC patients, NT-pro-BNP levels were not statistically significantly different in men than women and in older (> 60 years old) that younger patients. Age and gender had no impact on the differences observed in fold-increase of NT-pro-BNP between PD and CB patients (Additional file 1: Table S1).
Discussion and Conclusions
Plasma NT-pro-BNP levels may reflect volume overload or cardiac dysfunction in patients with heart disease. We observed a high variation in pre-treatment NT-pro-BNP levels that was not associated to disease burden or baseline cardiac function. However, Baseline levels predicted for response and sharp increases in plasma NT-pro-BNP were observed in patients that did not obtain any clinical benefit from treatment, and this was evident from the first 15 days of treatment. BNP is produced by myocardial cells, but it has been reported to be produced by many tissues including renal parenchyma as well [13]. Whether this observation reflects the increasing production of NT-pro-BNP from the non-responding metastatic foci remains yet unanswered. When we assayed Caki-1 and Caki-2 renal cancer cell lines in vitro we did not find any significant BNP production and sunitinib had no effect of on BNP at a protein level (data not shown).
On the other hand, hypoxia in large treatment-refractory tumours is a direct and sufficient stimulus for BNP induction via stabilization of HIF-1 alpha [14]. Sunitinib treatment results in improved blood flow and less hypoxic tumour microenviroment [15, 16] in patients that respond. Disease progression can therefore relate to a more hypoxic tumour environment, higher HIF-1 alpha expression, higher plasma VEGF levels (as we have already shown, ref 10) and, finally, increased HIF-1 alpha-dependent BNP induction.
We report the value of plasma NT-pro-BNP measurement for predicting response to sunitinib treatment in patients with metastatic renal cell carcinoma. This is the first time that a potential "surrogate marker" has been reported with such a clear correlation to clinical benefit at an early time on treatment. Due to the relative small number of assessed patients, this observation needs to be further addressed on larger cohorts. More analyses, including multivariate analyses are needed before such an observation can be used in clinical practice.
Notes
Declarations
Acknowledgements
We are obliged to the patients that participated in the study as well as to the nurses and clinical staff of "Theagenion" Cancer Hospital for their continuing support in our clinical and experimental work
Authors’ Affiliations
(1)
3rd Department of Medical Oncology, Theagenion Cancer Hospital
(2)
Applied Molecular Oncology Laboratory, Theagenion Cancer Hospital
(3)
Department of Medical Oncology, University Hospital of Larissa
(4)
Health Data Specialists Ltd
(5)
Cardiology Unit, Theagenion Cancer Hospital
(6)
Laboratory of Biochemistry, Theagenion Cancer Hospital
(7)
Laboratory of Biochemistry, Department of Medicine, Democritus University of Thrace
References
Mendel DB, Laird AD, Xin X, Louie SG, Christensen JG, Li G, Schreck RE, Abrams TJ, Ngai TJ, Lee LB, Murray LJ, Carver J, Chan E, Moss KG, Haznedar JO, Sukbuntherng J, Blake RA, Sun L, Tang C, Miller T, Shirazian S, McMahon G, Cherrington JM: In vivo antitumor activity of SU11248, a novel tyrosine kinase inhibitor targeting vascular endothelial growth factor and platelet-derived growth factor receptors: Determination of a pharmacokinetic/pharmacodynamic relationship. Clin Cancer Res. 2003, 9: 327-337.PubMedGoogle Scholar
Motzer R, Hutson TE, Tomczak P, Michaelson MD, Bukowski RM, Rixe O, Oudard S, Negrier S, Szczylik C, Kim ST, Chen I, Bycott PW, Baum CM, Figlin RA: Sunitinib versus interferon alfa in metastatic renal-cell carcinoma. N Engl J Med. 2007, 356: 115-124. 10.1056/NEJMoa065044.View ArticlePubMedGoogle Scholar
Deprimo SE, Bello CL, Smeraglia J, Baum CM, Spinella D, Rini BI, Michaelson MD, Motzer RJ: Circulating protein biomarkers of pharmacodynamic activity of sunitinib, in patients with metastatic renal cell carcinoma: modulation of VEGF and VEGF-related proteins. J Transl Med. 2007, 5: 32-10.1186/1479-5876-5-32.View ArticlePubMedPubMed CentralGoogle Scholar
DePrimo SE, Bello C: Surrogate biomarkers in evaluating response to anti-angiogenic agents: focus on sunitinib. Ann Oncol. 2007, 18 (Suppl 10): x11-9. 10.1093/annonc/mdm409.View ArticlePubMedGoogle Scholar
Chu TF, Rupnick MA, Kerkela R, Dallabrida SM, Zurakowski D, Nguyen L, Woulfe K, Pravda E, Cassiola F, Desai J, George S, Morgan JA, Harris DM, Ismail NS, Chen JH, Schoen FJ, Van den Abbeele AD, Demetri GD, Force T, Chen MH: Cardiotoxicity associated with tyrosine kinase inhibitor sunitinib. Lancet. 2007, 370: 2011-2019. 10.1016/S0140-6736(07)61865-0.View ArticlePubMedPubMed CentralGoogle Scholar
Schmidinger M, Zielinski CC, Vogl UM, Bojic A, Bojic M, Schukro C, Ruhsam M, Hejna M, Schmidinger H: Cardiac toxicity of sunitinib and sorafenib in patients with metastatic renal cell carcinoma. J Clin Oncol. 2008, 26: 5204-5212. 10.1200/JCO.2007.15.6331.View ArticlePubMedGoogle Scholar
Rixe O, Billemont B, Izzedine H: Hypertension as a predictive factor of Sunitinib activity. Ann Oncol. 2007, 18: 1117-10.1093/annonc/mdm184.View ArticlePubMedGoogle Scholar
Koglin J, Pehlivanli S, Schwaiblmair M, Vogeser M, Cremer P, vonScheidt W: Role of brain natriuretic peptide in risk stratification of patients with congestive heart failure. J Am Coll Cardiol. 2001, 38: 1934-1941. 10.1016/S0735-1097(01)01672-2.View ArticlePubMedGoogle Scholar
Anand IS, Fisher LD, Chiang YT, Latini R, Masson S, Maggioni AP, Glazer RD, Tognoni G, Cohn JN, Val-HeFT Investigators: Changes in brain natriuretic peptide and norepinephrine over time and mortality and morbidity in the Valsartan Heart Failure Trial (Val-HeFT). Circulation. 2003, 107: 1278-1283. 10.1161/01.CIR.0000054164.99881.00.View ArticlePubMedGoogle Scholar
Contal C, O'Quigley J: An application of changepoint methods in studying the effect of age on survival in breast cancer. Computational Statistics and Data Analysis. 1999, 30: 253-270. 10.1016/S0167-9473(98)00096-6.View ArticleGoogle Scholar
Wang TJ, Larson MG, Levy D, Leip EP, Benjamin EJ, Wilson PW, Sutherland P, Omland T, Vasan RS: Impact of age and sex on plasma natriuretic peptide levels in healthy adults. Am J Cardiol. 2002, 90: 254-8. 10.1016/S0002-9149(02)02464-5.View ArticlePubMedGoogle Scholar
Gerbes AL, Dagnino L, Nguyen T, Nemer M: Transcription of brain natriuretic peptide and atrial natriuretic peptide genes in human tissues. J Clin Endocrinol Metab. 1994, 78: 1307-1311. 10.1210/jc.78.6.1307.PubMedGoogle Scholar
Weidemann A, Klanke B, Wagner M, Volk T, Willam C, Wiesener MS, Eckardt KU, Warnecke C: Hypoxia, via stabilization of the hypoxia-inducible factor HIF-1alpha, is a direct and sufficient stimulus for brain-type natriuretic peptide induction. Biochem J. 2008, 409 (1): 233-42. 10.1042/BJ20070629.View ArticlePubMedGoogle Scholar
Czabanka M, Vinci M, Heppner F, Ullrich A, Vajkoczy P: Effects of sunitinib on tumor hemodynamics and delivery chemotherapy. Int J Cancer. 2009, 124 (6): 1293-300. 10.1002/ijc.24019.View ArticlePubMedGoogle Scholar
Hilman GG, Singh-Gupta V, Zhang H, Al-Bashir AK, Katkuri Y, Li M, Yunker CK, Patel AD, Abrams J, Haacke EM: Dynamic contrast-enhanced magnetic resonance imaging of vascular changes induced by sunitinib in papillary renal cell carcinoma xenograft tumors. Neoplasia. 2009, 11 (9): 910-20.View ArticleGoogle Scholar
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