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Antimicrobial Agents and Chemotherapy, July 2001, p. 1947-1951, Vol. 45, No. 7
0066-4804/01/$04.00+0   DOI: 10.1128/AAC.45.7.1947-1951.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.

Effects of Renal Function on Pharmacokinetics of Recombinant Human Granulocyte Colony-Stimulating Factor in Lung Cancer Patients

Masaaki Fukuda,1 Mikio Oka,2 Yoshimasa Ishida,3 Haruki Kinoshita,3 Kenji Terashi,1 Minoru Fukuda,1 Shigeru Kawabata,1 Akitoshi Kinoshita,4 Hiroshi Soda,1,5,* and Shigeru Kohno1,2

Second Department of Internal Medicine, Nagasaki University School of Medicine, 1-7-1 Sakamoto, Nagasaki 852-8501,1 Division of Molecular and Clinical Microbiology, Department of Molecular Microbiology and Immunology, Nagasaki University Graduate School of Medical Sciences, 1-12-4 Sakamoto, Nagasaki 852-8523,2 Clinical Pharmacology Section, Clinical Research Coordination Department, Chugai Pharmaceutical Co., 2-1-9 Kyobashi, Chuo-ku, Tokyo 104-8301,3 Internal Medicine, Nagasaki-Chuo National Hospital, 2-1001-1 Kubara, Omura, Nagasaki 856-0835,4 and Department of Laboratory Medicine, Nagasaki University School of Medicine, 1-7-1 Sakamoto, Nagasaki 852-8501,5 Japan

Received 14 August 2000/Returned for modification 13 January 2001/Accepted 29 March 2001


    ABSTRACT
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References

Animal studies suggest that the kidney is involved in the elimination of recombinant human granulocyte colony-stimulating factor (rhG-CSF), which is used for patients with neutropenia during cancer chemotherapy. Since anticancer drugs induce nephrotoxicity, it is important to clarify the role of the kidney in the pharmacokinetics of rhG-CSF in cancer patients. Our study was designed to evaluate the relationship between the pharmacokinetics of rhG-CSF and renal function in lung cancer patients compared to the absolute neutrophil count (ANC). The pharmacokinetic studies were conducted with 25 lung cancer patients. Following chemotherapy using platinum-based compounds, a bolus 5 µg of rhG-CSF/kg of body weight was intravenously injected from the first day of leukopenia or neutropenia. Pharmacokinetic parameters were estimated by fitting the concentration in serum-time data to a two-compartment model according to the population pharmacokinetics and the Bayesian method. Creatinine clearance (CLCR) was predicted by the Cockcroft-Gault formula. rhG-CSF clearance (CLG-CSF) correlated significantly with the ANC (r = 0.613; P < 0.001) and CLCR (r = 0.632; P < 0.001). Multiple linear regression analysis showed that the combination of the ANC and CLCR accounted for 57.4% of the variation of CLG-CSF. In patients with an ANC of <1,000/µl, CLCR accounted for 72.9% of the variation of CLG-CSF (P < 0.001). Our findings suggest that renal function and neutrophil counts correlate with CLG-CSF and that the role of renal function in eliminating rhG-CSF is important in lung cancer patients with neutropenia.


    INTRODUCTION
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References

Recombinant human granulocyte colony-stimulating factor (rhG-CSF) is widely used for patients with neutropenia during cancer chemotherapy. The pharmacokinetics of rhG-CSF, however, are not fully understood, and the optimal schedule for rhG-CSF treatment remains undetermined. Previous studies, including those from our laboratories, have reported that serum rhG-CSF levels inversely correlate with the number of circulating neutrophils in cancer patients (20-22) and that rhG-CSF is possibly eliminated through G-CSF receptors on neutrophils (7, 24). In contrast, Kearns et al. (12) reported that low levels of rhG-CSF clearance (CLG-CSF) remained stable in patients with severe neutropenia. This finding suggests that another mechanism, apart from circulating neutrophils, is involved in the clearance of rhG-CSF. CLG-CSF is low in rodents with renal failure (11, 17, 23), and the kidney may account for the alternative clearance mechanism of rhG-CSF.

Since anticancer drugs, such as platinum agents, high doses of methotrexate, and nitrosoureas, induce both nephrotoxicity and neutropenia, it is important to clarify the effects of renal function on the pharmacokinetics of rhG-CSF. However, to our knowledge, there are no studies that have examined the relationship between renal function and the pharmacokinetics of rhG-CSF in cancer patients receiving chemotherapy. The subjects of our previous studies were patients with normal renal function, and thus the influence on renal function could not be evaluated (22, 24). The present study included lung cancer patients with variable renal function. Using multivariate analysis, we demonstrate here that CLG-CSF is reduced in lung cancer patients with poor renal function.


    MATERIALS AND METHODS
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Abstract
Introduction
Materials and Methods
Results
Discussion
References

Patient selection. The present study was conducted according to institutional ethical standards. Patients were consecutively selected if they fulfilled the following criteria: (i) the presence of histologically or cytologically confirmed lung cancer; (ii) an Eastern Cooperative Oncology Group performance status of 2 or better; (iii) eligibility for chemotherapy; (iv) no prior chemotherapy or radiotherapy; (v) absence of bone metastasis; (vi) adequate bone marrow function with absolute neutrophil counts (ANC) of >2,000/µl, platelet counts of >100,000/µ, and hemoglobin levels of >10 g/dl; (vii) normal hepatic function; and (viii) informed consent of the patient for the study. Twenty-five patients with lung cancer were consecutively enrolled in the study. All tests and analytical procedures were performed during the first course of chemotherapy.

rhG-CSF administration and sample collection. The counts of circulating leukocytes or neutrophils were monitored three times weekly for the detection of chemotherapy-induced leukopenia or neutropenia. A bolus dose of 5 µg of rhG-CSF (Lenograstim; Chugai Pharmaceutical Co., Tokyo, Japan)/kg of body weight was intravenously injected at 9 a.m. on the day on which the ANC <1,000/µl or leukocyte counts were <2,000/µl until the first day on which the ANC>5,000/µl or leukocyte counts were >10,000/µl. For the 25 patients enrolled in the study, pharmacokinetic studies were conducted on the first day of rhG-CSF administration for 20 patients and on the last day of rhG-CSF administration for 5 patients. Blood samples for the ANC and serum creatinine were obtained just before rhG-CSF administration on the same day of the pharmacokinetic study. Blood samples for pharmacokinetic study were collected just before rhG-CSF administration and at at least three other points until 8 h after administration. A total of 125 points after administration were collected from 25 patients, and the mean number of concentrations measured per patient was 5 points (range, 3 to 7 points). The sera were immediately centrifuged and stored at -20°C until they were assayed.

Serum G-CSF concentration. Serum G-CSF levels were measured by a chemiluminescence enzyme immunoassay (15). In this assay, serum G-CSF is sandwiched between anti-G-CSF immunoglobulin G-coated beads and glucose oxidase-labeled antibody. Supplementation of glucose results in the production of hydrogen peroxide through the action of glucose oxidase. Production of H2O2 is determined chemiluminescently with a mixture of luminol and potassium ferricyanide. This chemiluminescence assay is highly sensitive and detects as little as 2 pg of G-CSF/ml in the serum (15). The reproducibility of this assay was confirmed with intra- and interassay coefficients; the variance ranged from 5.5 to 7.8 and 3.4 to 16.0%, respectively (2). Serum rhG-CSF concentrations were calculated by subtracting the G-CSF concentration before administration from the G-CSF concentration obtained.

Renal function. Serum creatinine levels were determined by method of the Jaffe (9), and creatinine clearance (CLCR) was predicted by the Cockcroft-Gault formula (5). The glomerular filtration rate estimated by this formula could be overestimated, since serum creatinine depends on muscle mass, which may be reduced in patients with lung cancer. However, the formula has been used in several studies of cancer patients receiving platinum-based chemotherapy, and it shows a good correlation between CLCR and the glomerular filtration rate (8, 19). In comparison, estimation of 24-h CLCR is a time-consuming procedure and is often unreliable due to incomplete 24-h urine collection (6). The Cockcroft-Gault formula is practical for rapid evaluation of renal function.

Pharmacokinetic analysis. Population pharmacokinetics were performed using the nonlinear mixed-effect model (NONMEM) program (version V; University of California at San Francisco, San Francisco) (4). As the analysis model, we estimated one-compartment and two-compartment models with bolus input and first-order output. The appropriateness of the fitting model was determined by the objective function. The parameters selected to describe the model were clearance (CL) and distribution volume (V) for the one-compartment model and CL, volume of the central compartment (V1), volume of the peripheral compartment (V2), and intercompartmental clearance (CLint) for the two-compartment model. The interindividual variability was assumed to be log-normally distributed as follows:
P<SUB>i</SUB>=&thgr;<SUB>i,<UP>tv</UP></SUB><UP>  ·   exp</UP>(&eegr;<SUB>i</SUB>),
where Pi is the value of the parameter of the individual, theta i,tv is the typical value (tv) of this parameter in the population, and eta  is a variable accounting for interindividual variability, with a mean of zero and variance omega 2. The residual error, varepsilon , was also assumed to be log-normally distributed with a mean of zero and variance sigma 2 as follows:
Y=f(&THgr;, x) · <UP>exp</UP>(ϵ),
where Y is the dependent variable (i.e., plasma concentration), which is a function of the known quantity x (i.e., time) and the pharmacokinetic parameter Theta . The pharmacokinetic parameters of individual patients were calculated by the Bayesian method. The area under the concentration-time curve (AUC) was calculated by dividing the actual dose of rhG-CSF by CLG-CSF, and the elimination constant rate (Ke) was determined by the expression CLG-CSF/V or CLG-CSF/V1.

Statistical analysis. The values of the ANC were log transformed for normalization. As univariate analysis, the Pearson correlation coefficient (r) was calculated to evaluate the relationship between CLG-CSF and clinical factors. Furthermore, multiple linear regression was conducted as multivariate analysis (13). A final set of the significant factors was selected in a stepwise fashion. The coefficient of determination (R2) was used to assess the variability in CLG-CSF that the combination of these factors accounted for. The contribution of each factor to the variability was calculated by multiplying the standard regression coefficient by the r value. A two-tailed P of <0.05 was considered significant. Data were analyzed with the StatView software program (version 5.0; SAS Institute Inc., Cary, N.C.).


    RESULTS
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References

Twenty patients were males, and five were females, with a median age of 63 years (range, 35 to 79 years). The histologic type of lung cancer was adenocarcinoma in 6 patients, squamous cell carcinoma in 4, and small-cell carcinoma in 15. Three tumors were stage I disease, 8 were stage IIIA, 3 were stage IIIB, and 11 were stage IV. All chemotherapeutic regimens used for the treatment of these patients contained platinum agents, including cisplatin for 8 patients and carboplatin for 17. The mean pretreatment level of CLCR for the entire group was 65.6 ± 22.0 ml/min, and the median, 25th-percentile, and 75th-percentile values of the ANC at nadir were 651, 530, and 875/µl, respectively.

The population pharmacokinetic parameters of rhG-CSF were calculated by using the NONMEM program. The two-compartment model was found to describe the data better than the one-compartment model (data not shown). The population mean values were 0.65 liters/h for CLG-CSF, 3.09 liters for V1, 497 liters for V2, and 0.10 liters/h for CLint. The interindividual variability was 51.5% for CLG-CSF and 29.5% for V1. The residual intraindividual variability was 13.4%.

Individual pharmacokinetic parameters were estimated by the Bayesian method using the above population parameters. The means (±standard deviation) of individual parameters were as follows: CLG-CSF, 0.83 ± 0.39 liters/h; AUC, 408 ± 201 ng · h/ml; V1, 3.01 ± 0.82 liters; and Ke; 0.27 ± 0.11/h. Table 1 shows the CLG-CSF levels and clinical characteristics of participating patients on the day of rhG-CSF administration. In univariate analysis CLG-CSF correlated significantly with the ANC (r = 0.613) and CLCR (r = 0.632) (Fig. 1) but not with albumin levels, liver function, or other hematological factors. Multiple linear regression analysis showed that the ANC and CLCR were significant variables among the clinical factors and that the combination of the ANC and CLCR accounted for 57.4% of the variation of CLG-CSF (Fig. 2). As a whole, the ANC contributed 27.4% of CLG-CSF and CLCR was responsible for 30.0% of CLG-CSF. However, CLCR accounted for 72.9% of CLG-CSF in patients with low ANC (<1,000/µl) (Fig. 3).

                              
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TABLE 1.   Patient characteristics on the day of rhG-CSF administration and CLG-CSFa



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FIG. 1.   Correlation between rhG-CSF clearance and circulating neutrophil counts (top) and creatinine clearance (bottom).


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FIG. 2.   Relationship between actual rhG-CSF clearance and estimated rhG-CSF clearance based on the multiple linear regression equation CLG-CSF (liter/h) = 0.008 CLCR (ml/min) + 0.352 log ANC (per µl) - 0.809.


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FIG. 3.   Relationship between rhG-CSF clearance and creatinine clearance in patients with neutrophil counts of <1,000/µl.


    DISCUSSION
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References

The present study demonstrated that CLG-CSF levels correlated with renal function as well as the number of circulating neutrophils in patients with lung cancer receiving chemotherapy. The combination of CLCR and the ANC accounted for approximately half of the CLG-CSF variation. As a whole, the contribution of CLCR to CLG-CSF was almost equal to that of the ANC; however, the contribution of CLCR became larger in lung cancer patients with neutropenia.

Our clinical observation supported the previous findings in rodent models demonstrating a reduction in CLG-CSF following ligation of the renal artery or heminephrectomy (11, 23). In addition, a high dose of rhG-CSF in rats saturates the clearance mechanism of G-CSF receptor-positive cells, and further ligation of the renal artery decreases this saturated clearance (17). In humans, Akizawa et al. (1) reported that the elimination half-life and AUC of rhG-CSF seems to be increased in patients with chronic renal failure, although their study did not include control subjects. These findings suggest that the kidney is involved in the elimination of rhG-CSF through a nonsaturable process. In support of this conclusion, other studies have demonstrated the preferential accumulation of radiolabeled rhG-CSF in the rat kidney just after intravenous administration (14, 18). The radioactivity in the urine is 59% of the total dose (14), but less than 1% of rhG-CSF is detected by enzyme-linked immunosorbent assay (ELISA) (23). Thus, the elimination of rhG-CSF is possibly due to metabolism by the kidney.

As a whole, the contribution of renal function to CLG-CSF was almost equal to the influence of circulating neutrophil counts. The clearance process by G-CSF receptor-positive cells accounts for approximately 80% of CLG-CSF in healthy subjects (18). In patients with relatively adequate neutrophil counts, neutrophils are mainly involved in the elimination of rhG-CSF. Kearns et al. (12), however, reported that CLG-CSF decreased as the ANC diminished from 100,000 to 1,000/µl but that CLG-CSF remained stable in patients with neutropenia of <1,000/µl. In the present study, CLCR accounted for as much as 72.9% of the variation of CLG-CSF in patients with neutropenia (counts, <1,000/µl). Thus, the overall effect of renal function on CLG-CSF was almost equal to that of neutrophils, but renal function played a major role in CLG-CSF in lung cancer patients with neutropenia.

The combination of CLCR and the ANC accounted for half of the CLG-CSF variation, and the equation obtained from multiple regression analysis was not completely predictive. These results suggest the presence of other clearance mechanisms. G-CSF receptors are involved in the saturable clearance of rhG-CSF (18, 24), and they are expressed on cells other than circulating neutrophils, such as bone marrow myeloid cells (3). In this regard, the elimination half-life of rhG-CSF in patients with myelodysplastic syndrome and aplastic anemia correlates with the number of bone marrow myeloid cells (25). Furthermore, soluble G-CSF receptors are released from mature myelomonocytic cells to the serum, and the serum levels correlate with the number of circulating neutrophils and monocytes during rhG-CSF therapy (10). These findings indicate that the pharmacokinetics of rhG-CSF are probably modulated by cellular and soluble G-CSF receptors in a complex fashion.

Other nonsaturable mechanisms may also exist, since the kidney is responsible for 40 to 50% of the nonsaturable clearance of rhG-CSF, as demonstrated previously in a rat model (17). The liver can also metabolize many substances; however, studies using radiolabeled rhG-CSF showed accumulation of only small amounts in the liver (14, 18). In partially hepatectomized rats, the decline in CLG-CSF is small, and the change is due to the volume of distribution (23). In the present study, liver function did not correlate with CLG-CSF. Accordingly, the liver does not seem to be involved in the nonsaturable clearance of rhG-CSF. Further studies are necessary to clarify all those factors that could affect the pharmacokinetics of rhG-CSF in cancer patients.

The values of Ke (0.27/h) and V1 (3.01 liters) in the present study were similar to those of previous studies of healthy and neutropenic subjects (16, 25). In intravenous rhG-CSF administration, the Ke and V1 values were 0.32/h and 4.56 liters, respectively, for 60-kg healthy volunteers (16) and 0.26/h and 2.88 liters for 60-kg patients with aplastic anemia (25). In contrast, Ke and V1/bioavailability in healthy volunteers injected subcutaneously with rhG-CSF were 0.220 to 0.288/h and 14.5 liters, respectively (7). The high V1/bioavailability values were considered to be due to subcutaneous administration. For the determination of serum G-CSF levels, chemiluminescence enzyme immunoassay was used in the present study, whereas ELISA was used in previous studies (7, 16, 25). The use of different assays, however, is unlikely to have influenced the results of the present study, since chemiluminescence enzyme immunoassay correlates well with ELISA (15).

In conclusion, we demonstrated that renal function as well as the number of circulating neutrophils correlated with CLG-CSF and that renal function played an important role in the elimination of rhG-CSF in lung cancer patients with neutropenia. These findings suggest that, in lung cancer patients scheduled for rhG-CSF therapy, the dosage of rhG-CSF could be adjusted according to the ANC and CLCR on the day of administration.


    FOOTNOTES

* Corresponding author. Mailing address: Second Department of Internal Medicine, Nagasaki University School of Medicine, 1-7-1 Sakamoto, Nagasaki 852-8501, Japan. Phone: 81 (95) 849-7274. Fax: 81 (95) 849-7285. E-mail: soda{at}net.nagasaki-u.ac.jp.


    REFERENCES
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References

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Antimicrobial Agents and Chemotherapy, July 2001, p. 1947-1951, Vol. 45, No. 7
0066-4804/01/$04.00+0   DOI: 10.1128/AAC.45.7.1947-1951.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.




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