Literature DB >> 24736581

Pharmacokinetically guided sunitinib dosing: a feasibility study in patients with advanced solid tumours.

N A G Lankheet1, J S L Kloth2, C G M Gadellaa-van Hooijdonk3, G A Cirkel3, R H J Mathijssen4, M P J K Lolkema3, J H M Schellens5, E E Voest3, S Sleijfer4, M J A de Jonge4, J B A G Haanen6, J H Beijnen1, A D R Huitema1, N Steeghs5.   

Abstract

BACKGROUND: Plasma exposure of sunitinib shows large inter-individual variation. Therefore, a pharmacokinetic (PK) study was performed to determine safety and feasibility of sunitinib dosing based on PK levels.
METHODS: Patients were treated with sunitinib 37.5 mg once daily. At days 15 and 29 of treatment, plasma trough levels of sunitinib and N-desethyl sunitinib were measured. If the total trough level (TTL) was <50 ng ml(-1) and the patient did not show any grade ⩾3 toxicity, the daily sunitinib dose was increased by 12.5 mg. If the patient suffered from grade ⩾3 toxicity, the sunitinib dose was lowered by 12.5 mg.
RESULTS: Twenty-nine out of 43 patients were evaluable for PK assessments. Grade ⩾3 adverse events were experienced in seven patients (24%) at the starting dose and in nine patients (31%) after dose escalation. TTLs were below target in 15 patients (52%) at the starting dose. Of these, five patients (17%) reached target TTL after dose escalation without additional toxicity.
CONCLUSIONS: In a third of the patients that were below target TTL at standard dose, the sunitinib dose could be increased without additional toxicities. This could be the basis for future studies and the implementation of a PK-guided dosing strategy in clinical practice.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24736581      PMCID: PMC4021528          DOI: 10.1038/bjc.2014.194

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Sunitinib (Sutent) has proven its efficacy as single agent in several solid tumour types and is approved for use in advanced renal cell cancer (RCC), imatinib-resistant or -intolerant gastrointestinal stromal tumours (GISTs) and pancreatic neuroendocrine tumours (pNET) (Demetri ; Motzer ; Raymond ). Recent findings demonstrated a positive dose-efficacy relationship for sunitinib treatment (Houk ). As deduced from pharmacokinetic/pharmacodynamic preclinical data, target total plasma concentrations of sunitinib plus active metabolite (N-desethyl sunitinib) are in the range of 50–100 ng ml−1 (Abrams , 2003b; Mendel ; Murray ; Faivre ). In line with these preclinical data, total trough levels (TTLs) <50 ng ml−1 have been associated with decreased therapeutic efficacy in patients compared with patients with TTL above this level (Faivre ). It is therefore hypothesised that for optimal sunitinib therapy a TTL of >50 ng ml−1 should be reached in each individual patient. However, sunitinib exposure shows considerable variation due to patient non-compliance (e.g., due to drug-related toxicity), drug interactions with co-medication, variability in oral drug availability and many other factors (Klumpen ). Despite this considerable inter-patient variability in systemic exposure, sunitinib is currently prescribed at a fixed dose. Given the narrow therapeutic index, the large inter-individual variability in systemic exposure, and the positive exposure–efficacy relationship, there is a strong rationale for pharmacokinetically (PK) guided dosing also known as therapeutic drug monitoring (TDM) of sunitinib (de Jonge ; Faivre ; Houk ). Such an approach could contribute to a tailor-made sunitinib treatment with improved therapeutic efficacy and decreased risk for toxicity (Beumer, 2013). Thus far, no prospective clinical trials investigating the safety and efficacy of PK-guided dosing for sunitinib therapy have been performed. Hence, the ultimate proof that reaching target trough concentrations increases treatment efficacy remains to be awaited. As a first step towards individualised PK-based dosing, we investigated the safety and feasibility of PK-guided sunitinib dosing in a pilot study by measuring sunitinib trough levels. The main purpose of the study was to assess whether PK-guided dosing could be performed without causing additional toxicities. Establishing a feasible and safe PK-guided dosing strategy could provide a rationale for a large prospective clinical trial.

Materials and Methods

Patient population

This multicenter prospective pilot trial (NCT01286896) was initiated in 2011 and was performed in three medical centres in the Netherlands. Eligible patients were patients with histologically or cytologically confirmed advanced tumours for which sunitinib was considered standard therapy or patients with advanced or metastatic tumours for whom no standard therapy was available. Other inclusion criteria included age ⩾18 years; an Eastern Cooperative Oncology Group performance status ⩽1; measurable or evaluable disease according to Response Evaluation Criteria Solid Tumours 1.1 criteria; estimated life expectancy >12 weeks; adequate haematologic, hepatic and renal function; no cardiac instability within the previous 6 months. Additionally, patients should be able and willing to undergo blood sampling, and patients should be able to swallow oral medication. The protocol was approved by local independent ethics committees, and the study was conducted in accordance with the Declaration of Helsinki. All patients received information regarding the purpose and conduct of this study and provided written informed consent.

Study design

Eligible patients started treatment at a dose level of 37.5 mg sunitinib once daily continuously. At day 15 of sunitinib treatment, TTLs of sunitinib plus N-desethyl sunitinib were measured. If the TTL was <50 ng ml−1 and the patient did not experience any grade ⩾3 toxicity (CTCAE 4.02), the daily sunitinib dose was increased by 12.5 mg at day 22. At day 29, 7 days after the first dose adjustment, the second TTL was measured. If indicated, a second dose adjustment based on TTL and/or toxicity was performed at day 36, as described before. After 8 weeks a final TTL evaluation was performed. No further dose increments were allowed. If the patient suffered from grade ⩾3 toxicity or intolerable grade 2 toxicity despite supportive care at any moment during the study, the sunitinib treatment was interrupted until adequate recovery (CTC grade <2) was achieved. Subsequently, sunitinib treatment was resumed at the next lowest dose level. Sunitinib dose levels allowed within this study were 12.5, 25, 37.5, 50 and 62.5 mg QD. Patients experiencing grade >2 toxicity with sunitinib 12.5 mg once daily discontinued the treatment and went off-study. No dose escalations were allowed after a previous dose reduction for toxicity. Treatment was continued until progressive disease, until patient refusal or until adverse events that required discontinuation of therapy were observed.

Pharmacokinetic analyses

Samples for pharmacokinetics (PK) were collected at day 15±1, day 29±1 and after 8 weeks (day 57±1) of sunitinib treatment. EDTA blood samples were collected and, thereafter, directly sent to the laboratory by ordinary mail at ambient temperature. After receipt of the samples, within 36 h after blood collection, plasma was harvested and stored at −20 °C until analysis. Trough levels of sunitinib and N-desethyl sunitinibin plasma were measured by LC-MS/MS as described before (Lankheet ). Total trough levels were determined by calculating the sum of sunitinib and N-desethyl sunitinib plasma levels and were reported to the treating physician within 1 week after blood collection. Patients were evaluable for pharmacokinetic analyses if they had undergone all three PK blood samplings.

Safety assessments

Adverse events (AE), serious adverse events (SAE) and their relationship with study medication were assessed throughout the study. The incidence and severity of AEs were evaluated and graded using the National Cancer Institute Common Toxicity Criteria for Adverse Events version 4.02 (CTCAE 4.02). Patients who received at least one dose of the study treatment were included in the safety evaluation.

Statistical analysis

The number of patients recruited was based on the number estimated to be required to evaluate at least eight patients for toxicity after PK-guided dose escalation. It was expected that 45% of patients would experience clinically relevant toxicity at the starting dose of 37.5 mg once daily (van der Veldt ; Escudier ; George ; Novello ; van Erp ). In addition, it was expected that ∼50% of the patients without toxicity (55%) would have TTL ⩾50 ng ml−1 (George ; Novello ). In both occasions, patients were not eligible for dose escalation. Thus, to be able to evaluate at least eight patients after dose escalation, it was necessary to include about four times as many patients (at least 30 patients). Descriptive statistics were used to summarise the patient characteristics, toxicity data, response data and sunitinib TTLs.

Results

From April 2011 until June 2012, 43 patients with a variety of advanced solid tumours were enrolled (18 patients at the Netherlands Cancer Institute–Antoni van Leeuwenhoek Amsterdam, 15 patients at the University Medical Center Utrecht and 10 patients at the Erasmus MC Cancer Institute Rotterdam). Forty-two patients received at least one dose of sunitinib and were evaluable for toxicity assessments. Twenty-nine patients completed all three pharmacokinetic blood samples and were therefore evaluable for pharmacokinetic assessments (see Figure 1 for CONSORT diagram). In total, 14 out of 29 patients were evaluable for toxicity assessment after PK-guided dose escalation. At the time of the database lock (August 2012), four patients (9.5%) were still on sunitinib therapy. Demographical and clinical characteristics for all patients are provided in Table 1.
Figure 1

Patient flow diagram.

Table 1

Baseline characteristics of all evaluable patients

CharacteristicPatients (n=42)
Gender (number (%))
Male28 (67)
Female
14 (33)
Age (y) (median (range))
61 (28–74)
Bodyweight (kg) (median (range))
77 (44–108)
Ethnicity (number (%))
Caucasian
42 (100)
ECOG performance status (number (%))
010 (24)
1
32 (76)
Primary tumour (number (%))
Neuroendocrine carcinoma8 (19)
Colorectal carcinoma8 (19)
Renal cell carcinoma6 (14)
Adenocarcinoma of unknown primary (ACUP)3 (7)
Uveal melanoma3 (7)
Miscellaneousa
14 (33)
Clinical stage, pretreatment (number (%))
Locally advanced2 (5)
Metastatic
40 (95)
Prior treatment (number (%))
TKI therapy
5 (36)
Chemotherapy
31 (74)
 1 regimen12 (29)
 2 regimens3 (7)
 ⩾3 regimens
17 (40)
Surgery
28 (67)
Radiotherapy16 (38)

Miscellaneous: pancreatic carcinoma (n=2), hepatocellular carcinoma (n=2), oesophageal carcinoma (n=2), prostate carcinoma, cervix carcinoma, head and neck carcinoma, mesothelioma, liposarcoma, ewing sarcoma, myo-epithelioma, osteosarcoma.

Target trough levels

After 14 days of sunitinib treatment, the median TTL was 49.5 ng ml−1 (IQR 41.8–64.0) (see Table 2). Considerable inter-patient variability of TTLs was observed at the starting dose with a coefficient of variation (CV%) of 32.1%. Moreover, 15 out of 29 patients (52%) did not reach the target TTL of 50 ng ml−1 at the starting dose of 37.5 mg per day. Therefore, dose escalations to 50 mg per day were indicated in 15 patients. However, in one patient it was not possible to increase the sunitinib dose due to haematological toxicity, and therefore dose escalation was performed in 14 patients. At the second PK evaluation (day 29), the median TTL was increased to 57.6 ng ml−1 (IQR 48.3–61.9) with an inter-patient variability of 35.2% for the entire population of 29 patients. The 14 patients that had undergone dose escalation after day-15 PK measurement (median TTL 42.0 ng ml−1 (IQR 36.3–47.3)) reached median TTL of 51.3 ng ml−1 (IQR 44.7–58.7) at day 29. In two patients dose escalation at day 15 resulted in reduced TTL at day 29. Moreover, 19 out of 29 patients (66%) reached the target TTL. Of the 10 patients below the target level, the sunitinib dose was increased to 62.5 mg per day in 3 patients and dose escalations were not possible due to toxicity in 7 patients. At the final PK evaluation (day 57), the median TTL was reduced to 51.8 ng ml−1 (40.3–63.7) with an inter-patient variability of 45% and 15 patients (52%) reached the target TTL. Six patients in Group 2 showed a decrease in TTL throughout the study without dose adjustments. In two cases this resulted in TTL below the target TTL at day 57. In Figure 2, the measured TTLs of individual patients at days 15, 29 and 57 are presented.
Table 2

Therapy outcomes regarding reached total trough level (TTL), dose and target TTL, stratified by patient group

OutcomeGroup 1a TTL<50 No severe TOX (n=5)Group 1b TTL<50 Severe TOX (n=10)Group 2a TTL⩾50 No severe TOX (n=8)Group 2b TTL⩾50 Severe TOX (n=6)Total (n=29)
TTL (ng ml−1) (median (IQR))
Day 1544.0 (41.8–48.8)39.1 (30.1–43.0)65.5 (56.8–67.9)62.2 (56.0–64.7)49.5 (41.8–64.0)
Day 2951.8 (45.6–61.5)50.2 (43.3–56.3)61.4 (58.7–79.3)53.1 (40.1–65.8)57.6 (48.3–61.9)
Day 57
63.9 (56.2–78.3)
39.6 (31.1–48.2)
61.9 (55.0–69.6)
46.4 (37.5–53.6)
51.8 (40.3–63.7)
Dose (mg) (mean (s.d.))
Day 2950.0 (−)47.5 (7.9)37.5 (−)33.3 (6.5)42.7 (7.8)
Day 57
55.0 (6.8)
35.0 (5.3)
37.5 (−)
25.0 (−)
37.9 (9.7)
Patients on target TTL (number (%))
Day 150 (0)0 (0)8 (100)6 (100)14 (48)
Day 293 (60)5 (50)8 (100)3 (50)19 (66)
Day 575 (100)1 (10)6 (75)3 (50)15 (52)

Abbreviations: IQR=interquartile range; s.d.=standard deviation; TOX=toxicity; TTL=total trough level.

Patients were stratified by TTL measured at day 15 and toxicity within 8 weeks of treatment. Patients with TTL <50 ng ml−1 at day 15 are in group 1. Patients with TTL ⩾50 ng ml−1 are in group 2. In addition, subgroups are formed by patients without severe toxicity within 8 weeks of treatment (Groups 1a and 2a) and patients suffering from severe toxicity within 8 weeks (Groups 1b and 2b).

Figure 2

Total trough levels measured at days 15, 29 and 57 of sunitinib treatment of all patients who were evaluable for PK evaluation, stratified by patient group. The black bars represent the median TTL.

PK-guided dosing

Based on TTL reached at day 15, two patient groups were distinguished: Group 1, which consisted of patients who did not reach target TTL and Group 2, which consisted of patients who reached target TTL. Based on toxicity in the first 8 weeks of treatment, these groups could be subdivided further into four patient subgroups with different results of the PK guided dosing strategy. The defined groups were as follows: Group 1a patients with TTL<50 ng ml−1 at day 15 and no relevant toxicity (n=5; 17%), Group 1b patients with TTL<50 ng ml−1 at day 15 with relevant toxicity (n=10; 34%), Group 2a patients with TTL>50 ng ml−1 at day 15 and no relevant toxicity (n=8; 28%), Group 2b patients with TTL>50 ng ml−1 at day 15 with relevant toxicity (n=6; 21%). As shown in Table 2, the five patients (17%) who did not reach target TTL at day 15 and had PK-guided dose elevations without relevant toxicity tolerated treatment with 47% higher mean daily dose compared with standard therapy. After 8 weeks of treatment the distribution of daily sunitinib doses in the study population was as follows: 2 patients using 62.5 mg, 4 patients using 50 mg, 15 patients using 37.5 mg and 8 patients using 25 mg. Presumably without PK-guided dosing the result would have been 21 patients on 37.5 mg, 8 on 25 mg, and therefore a possible underdosing in 6 of 29 (21%) of patients. In Figure 3, an overview of all dose adjustments and TTLs is shown per individual patient within the 8-week study period.
Figure 3

Course of sunitinib dose levels and TTLs during the first 8 weeks of treatment of all individual patients who were evaluable for PK evaluation, stratified by patient group. On the x axis is the week number, on the y axis both sunitinib dose level and TTLs are presented. Red dots represent TTLs. Black squares represent dose levels. The dotted line represents the target TTL (50 ng ml−1). Group 1a: patients with TTL <50 ng ml−1 at day 15 and without toxicity; Group 1b: patients with TTL <50 ng ml−1 at day 15 and with toxicity; Group 2a: patients with TTL >50 ng ml−1 at day 15 and without toxicity; Group 2b: patients with TTL >50 ng ml−1 at day 15 and with toxicity.

Treatment toxicity

The most frequently occurring treatment related adverse events are listed in Table 3. Grade ⩾3 adverse events were observed in 29 patients (69%). The main grade ⩾3 adverse events attributed to study treatment included hypertension (14%), fatigue (12%), anaemia (12%), thrombocytopenia (12%) and hand-foot syndrome (HFS) (10%). Common grade 1 or 2 non-haematologic treatment-related toxicities were fatigue (60%), nausea (50%), dysgeusia (55%), oral mucositis (52%), diarrhoea (40%), HFS (33%) and vomiting (29%).
Table 3

Toxicity data

 Grade⩽2
Grade⩾3
Any grade
 Discontinued
Group 1
Group 2
Total
Discontinued
Group 1
Group 2
Total
Total
 
(n=13)
Group 1a (n=5)
Group 1b (n=10)
Group 2a n=(8)
Group 2b n=(6)
(n=42)
(n=13)
Group 1a (n=5)
Group 1b (n=10)
Group 2a (n=8)
Group 2b (n=6)
(n=42)
(n=42)
Adverse eventn%n%n%n%n%n%n%n%n%n%n%n%n%
Treatment-related non-haematological adverse events (ocurring in ⩾10% of patients)
Fatigue754480660563350256021500220001175123071
Nausea6463604404504672150215000011300372457
Dysgeusia64648055045046723550000000000002355
Oral mucositis323240880563467225200000000117122355
Diarrhoea32336033045046717400012011011300372048
Hand-foot syndrome21536055022523314330000330113004101843
Vomiting431510022011300122900000011300121331
Hypertension181200033800512215240001131176141126
Anorexia2150022000233614180000000012717
Dry skin21524022000233819000000000000819
Rash0000330450117819000000000000819
Constipation1812033011300614180000000012717
Epistaxis21500220225006140000000011712717
Dyspnoea2150022011300512180000000012614
Skin yellow discoloration21500110225117614000000000000614
Dyspepsia00240110113117512000000000000512
Hair depigmentation0024011022500512000000000000512
Oral pain18000045000512000000000000512
Periorbital oedema2150022000117512000000000000512
Periph. Neuropathy
1
8
0
0
2
20
1
13
1
17
5
12
0
0
0
0
0
0
0
0
0
0
0
0
5
12
Laboratory abnormalities
Haematology
 Anaemia1800000000121800110113233512614
 White blood cells0000001131172200001100011725410
 Neutrophils001202200035061418120220001175121126
 Platelets
1
8
1
20
0
0
2
25
0
0
4
10
0
0
0
0
1
10
0
0
2
33
3
7
7
17
Clinical chemistry
 ALAT0000110225003700120001130025512
 ASAT0000001130012001201101130037410
 Creatinine increased
0
0
0
0
1
10
1
13
1
17
3
7
1
8
0
0
0
0
0
0
0
0
1
2
4
10
Cardial events
 Heart failure000000000000181200000002525
 Acute coronairy syndrome00000000000018000000001212
 Prolonged QT interval000000000000000000113001212
 Myocardial infarction
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
13
0
0
1
2
1
2
Any toxicity1310051001010081006100 1007543609905635832969 100

Abbreviations: ALAT=alanine aminotransferase; ASAT=aspartate aminotransferase.

Group 1a: patients with TTL<50 ng ml−1 at day 15 and without toxicity; Group 1b: patients with TTL <50 ng ml−1 at day 15 and with toxicity; Group 2a: patients with TTL >50 ng ml−1 at day 15 and without toxicity; Group 2b: patients with TTL >50 ng ml−1 at day 15 and with toxicity.

Six patients discontinued sunitinib treatment (at the standard dose of 37.5 mg per day) due to adverse events before the final PK evaluation at day 57; five of these discontinuations were considered treatment-related and included fatal cardiac failure (n=1, grade 5), fatigue, increased blood bilirubin, nausea (all n=1, grade 3) and fatigue (n=1, grade 2). Dose reductions of sunitinib due to treatment-related adverse events during the PK evaluation period were performed in 16 patients (Group 1b+2b). Moreover, nine of these patients (56%) (Group 1b) who had an initial TTL-guided dose increase did not tolerate this higher dose level, as shown in Figure 3. In addition, five patients discontinued sunitinib treatment due to toxicity after the PK evaluation period; two of these discontinuations were considered treatment related and included a combination of anaemia and thrombocytopenia (n=2, grade 3). The main purpose of the study was to assess whether PK-guided dosing could be performed without causing additional toxicities. Therefore, the occurrence of toxicities in the patients who required dose escalations (Group 1) was compared with patients who did not need dose interventions based on PK and remained at the standard dose (Group 2). In all patient groups, the frequency of grade ⩽2 toxicity was similar. TTLs above the target level at day 15 of therapy did not correlate to frequency of severe toxicity (grade ⩾3). In Group 1, 10 out of 15 patients (67%) experienced severe toxicities and in Group 2 with TTL >50 ng ml−1, 6 out of 14 patients (43%) experienced severe toxicity.

Discussion

In this pilot study, the safety and feasibility of PK-guided sunitinib dosing was investigated. At the standard dose of 37.5 mg, 52% of patients did not reach target TTLs of sunitinib after 14 days of sunitinib treatment. Ultimately, 5 out of 29 patients (17%) had successful dose escalations with final doses of 50 mg (n=3) and 62.5 mg (n=2), leading to TTLs above the target without causing additional toxicities. This implies that PK-guided sunitinib dose escalations rather than fixed doses can contribute to optimisation of therapy in a part of the patients. Similar to classical anticancer chemotherapy regimens, it is often reasoned that increasing the dose of an anticancer drug in patients who lack toxicity might increase the likelihood of treatment efficacy (Mita ; Gao ; Pond ; Rini ). Fixed dosing may lead to underdosing due to inadequate drug exposure in some patients. Dosing to toxicity might lead to overdosing and unnecessary side effects, as in some patients adequate drug exposure will already be accomplished with a lower dose. This is complex since drug exposure, toxicity and efficacy generally do not show a linear relationship and it is not known whether toxicity is accompanied by adequate exposure. Therefore, therapeutic drug monitoring for the individualisation of dosing of anticancer drugs with a considerable and unpredictable inter-patient variability in pharmacokinetics is gaining popularity. For example, PK-guided dosing has been mentioned for docetaxel leading to a decrease in the inter-patient variability of drug exposure (Engels ). However, to our knowledge, the current study is the first in which PK-guided dosing is applied to sunitinib treatment. The sunitinib starting dose of 37.5 mg (continuously once-daily) was based on previously reported studies investigating a continuous dosing strategy for sunitinib (Escudier ; George ; Novello ). As no safety data were available regarding long-term continuous daily dosing of high-dose sunitinib, the highest dose level was maximised to 62.5 mg per day (Escudier ; George ; Novello ; Motzer ). A limitation of this study is that target TTL have not been established in clinical studies, thus far. The association between sunitinib exposure and efficacy was based on the steady-state area under the concentration–time curve (AUC) (Houk ). As both AUC and trough level increase proportionally with dose, these parameters should correlate with each other (EMA, 2007; Faivre ). Hence, the target plasma levels used in this study were deduced from preclinical studies (Abrams , 2003b; Mendel ; Murray ). Furthermore, our study was performed in a small cohort of patients with a large variety of advanced solid tumours and without a control group. Therefore, it was not possible to investigate the relationship between plasma exposure and treatment efficacy. In the previously reported studies, mean TTLs were ∼40–65 ng ml−1 and inter-patient variability was high with a coefficient of variation (CV) of >30% (Escudier ; George ; Novello ; Motzer ). Our patient cohort showed comparable results after 14 days of treatment (before any dose change) with median TTL of 49.5 ng ml−1 and an inter-patient variability of 31.2%. When assuming that target TTLs are needed for adequate treatment responses, this means that more than half of the patients were at subtarget levels (<50 ng ml−1) at the standard dose. Based on the elimination half-life of sunitinib (±40 h) and N-desethyl sunitinib (±80 h) it was expected that steady-state concentrations would be reached within 14 days of treatment and that parent and metabolite accumulate 3–4-fold and 7–10-fold, respectively (EMA, 2007). However, no significant drug accumulation was observed after 3 weeks of continuous sunitinib treatment in previous studies (George ; Barrios ). Additionally, in case of a dose escalation from 37.5 mg to 50 mg (33% increment) >90% of the new steady-state level would already be reached after two half-lifes since the new steady state is close to the former level. Therefore, TTL measurement 7 days after a dose escalation was expected to be adequate. However, in some patients TTLs still tended to increase after 2 weeks of sunitinib treatment even when the dose remained equal. A longer period before collection of the first TTL sample was considered, but this would postpone potential beneficial dose increments. In addition, it was observed that TTLs in two out of eight patients decreased to below the target TTL without a dose reduction after 8 weeks of treatment. It is not known whether this is due to unexplained intra-patient variability, patient non-adherence (despite using diaries and pill counts) or whether sunitinib levels tend to decrease after long term treatment as was shown for imatinib (Eechoute ) and sorafenib (Arrondeau ; Boudou-Rouquette ). Hence, further insights in TTLs and inter-patient pharmacokinetic variability during sunitinib treatment are warranted to allow rational design of future PK-guided dosing studies (Kloth ). The total occurrence of toxicity grade 3 or higher observed in this study was consistent with previously reported studies on continuous daily dosing regimens of sunitinib (Escudier ; George ; Novello ; Motzer ). Owing to the small patient number this study was not powered to compare the occurrence of toxicities within the different patient subgroups. Of all 16 patients who required dose reductions due to toxicity (Group 1b+2b), 7 patients suffered from toxicities at the standard dose and would also have experienced these toxicities if they were treated without the PK-guided dosing strategy. The same goes for one patient in the study who died due to a probable treatment-related adverse event (diffuse cardiac ischaemia followed by cardiac failure) at the starting dose of 37.5 mg per day. However, as could be expected, patients did experience additional toxicities after PK-guided dose escalations (nine patients). These toxicities were manageable by dose reductions. As suggested by previous data, it was expected that toxicity was correlated to sunitinib exposure (Houk ). However, results indicated that the frequency of severe toxicities (grade ⩾3) was not correlated to TTL at day 15, as toxicity levels at that time-point were comparable in the patients with TTL <50 ng ml−1 (Group 1) and TTL >50 ng ml−1 (Group 2). Probably toxicity is alsocorrelated to cumulative sunitinib exposure instead of the initial steady state TTL, as was also reported for absolute neutrophil counts by Houk . In addition, the daily sunitinib doses after 8 weeks of treatment in our patient cohort also give insights in a possible added value of a PK-guided dosing strategy. Six patients (21%) were treated with sunitinib doses above the standard dose of 37.5 mg per day. These patients would probably be underdosed in a fixed dosing regimen. There are several benefits of a PK-guided dosing approach for sunitinib. First, one could hypothesise, based on our results and previous work by other groups, that if an effective TTL can not be reached at a dose level with tolerable toxicity in these patients, TTL assessments could substantiate the choice to switch to another more effective therapy. Second, when assuming that TTLs >50 ng ml−1 are needed for adequate treatment responses, 17% of patients (the five patients in Group 1a (TTL<50 ng ml−1 and no toxicity)) benefit from PK-guided dose increases without additional toxicity. Third, compared with a toxicity-based approach, additional toxicities might be avoided, because adequate drug exposure is reached before toxicity occurs. However, efficacy of both approaches have not been studied or compared in great detail sofar. In the current oncology field we are more and more searching for personalised treatments options for a sometimes small number of patients. With a little effort we can sometimes optimise the treatment options we already have. Individualising dosing of sunitinib based on a simple measurement of plasma concentration is worthwhile to investigate further in order to utilise the scarce treatment options available for many tumour types in a most optimal way. Further research is therefore required to investigate the safety and therapeutic efficacy of PK-guided dosing of sunitinib in order to reach a systemic exposure above the target TTL compared with that from a standard fixed dose.
  29 in total

1.  Therapeutic drug monitoring for the individualization of docetaxel dosing: a randomized pharmacokinetic study.

Authors:  Frederike K Engels; Walter J Loos; Jessica M van der Bol; Peter de Bruijn; Ron H J Mathijssen; Jaap Verweij; Ron A A Mathot
Journal:  Clin Cancer Res       Date:  2011-01-11       Impact factor: 12.531

2.  Pharmacogenetic pathway analysis for determination of sunitinib-induced toxicity.

Authors:  Nielka P van Erp; Karel Eechoute; Astrid A van der Veldt; John B Haanen; An K L Reyners; Ron H J Mathijssen; Epie Boven; Tahar van der Straaten; Renée F Baak-Pablo; Judith A M Wessels; Henk-Jan Guchelaar; Hans Gelderblom
Journal:  J Clin Oncol       Date:  2009-08-10       Impact factor: 44.544

Review 3.  Moving towards dose individualization of tyrosine kinase inhibitors.

Authors:  Heinz-Josef Klümpen; Caroline F Samer; Ron H J Mathijssen; Jan H M Schellens; Howard Gurney
Journal:  Cancer Treat Rev       Date:  2010-09-15       Impact factor: 12.111

4.  Sunitinib malate for the treatment of pancreatic neuroendocrine tumors.

Authors:  Eric Raymond; Laetitia Dahan; Jean-Luc Raoul; Yung-Jue Bang; Ivan Borbath; Catherine Lombard-Bohas; Juan Valle; Peter Metrakos; Denis Smith; Aaron Vinik; Jen-Shi Chen; Dieter Hörsch; Pascal Hammel; Bertram Wiedenmann; Eric Van Cutsem; Shem Patyna; Dongrui Ray Lu; Carolyn Blanckmeister; Richard Chao; Philippe Ruszniewski
Journal:  N Engl J Med       Date:  2011-02-10       Impact factor: 91.245

5.  Phase II trial of continuous once-daily dosing of sunitinib as first-line treatment in patients with metastatic renal cell carcinoma.

Authors:  Carlos H Barrios; David Hernandez-Barajas; Michael P Brown; Se-Hoon Lee; Luis Fein; Jin-Hwang Liu; Subramanian Hariharan; Bridget A Martell; Jinyu Yuan; Akintunde Bello; Zhixiao Wang; Rajiv Mundayat; Sun-Young Rha
Journal:  Cancer       Date:  2011-09-06       Impact factor: 6.860

Review 6.  Relationship between exposure to sunitinib and efficacy and tolerability endpoints in patients with cancer: results of a pharmacokinetic/pharmacodynamic meta-analysis.

Authors:  Brett E Houk; Carlo L Bello; Bill Poland; Lee S Rosen; George D Demetri; Robert J Motzer
Journal:  Cancer Chemother Pharmacol       Date:  2009-12-05       Impact factor: 3.333

7.  Clinical evaluation of continuous daily dosing of sunitinib malate in patients with advanced gastrointestinal stromal tumour after imatinib failure.

Authors:  S George; J Y Blay; P G Casali; A Le Cesne; P Stephenson; S E Deprimo; C S Harmon; C N J Law; J A Morgan; I Ray-Coquard; V Tassell; D P Cohen; G D Demetri
Journal:  Eur J Cancer       Date:  2009-03-11       Impact factor: 9.162

8.  Erlotinib 'dosing-to-rash': a phase II intrapatient dose escalation and pharmacologic study of erlotinib in previously treated advanced non-small cell lung cancer.

Authors:  A C Mita; K Papadopoulos; M J A de Jonge; G Schwartz; J Verweij; M M Mita; A Ricart; Q S-C Chu; A W Tolcher; L Wood; S McCarthy; M Hamilton; K Iwata; B Wacker; K Witt; E K Rowinsky
Journal:  Br J Cancer       Date:  2011-08-30       Impact factor: 7.640

9.  Phase II study of continuous daily sunitinib dosing in patients with previously treated advanced non-small cell lung cancer.

Authors:  S Novello; G V Scagliotti; R Rosell; M A Socinski; J Brahmer; J Atkins; C Pallares; R Burgess; L Tye; P Selaru; E Wang; R Chao; R Govindan
Journal:  Br J Cancer       Date:  2009-10-13       Impact factor: 7.640

10.  Predictive factors for severe toxicity of sunitinib in unselected patients with advanced renal cell cancer.

Authors:  A A M van der Veldt; E Boven; H H Helgason; M van Wouwe; J Berkhof; G de Gast; H Mallo; C N Tillier; A J M van den Eertwegh; J B A G Haanen
Journal:  Br J Cancer       Date:  2008-07-01       Impact factor: 7.640

View more
  32 in total

1.  Integrated semi-physiological pharmacokinetic model for both sunitinib and its active metabolite SU12662.

Authors:  Huixin Yu; Neeltje Steeghs; Jacqueline S L Kloth; Djoeke de Wit; J G Coen van Hasselt; Nielka P van Erp; Jos H Beijnen; Jan H M Schellens; Ron H J Mathijssen; Alwin D R Huitema
Journal:  Br J Clin Pharmacol       Date:  2015-05       Impact factor: 4.335

Review 2.  Individualized dosing of oral targeted therapies in oncology is crucial in the era of precision medicine.

Authors:  Stefanie L Groenland; Ron H J Mathijssen; Jos H Beijnen; Alwin D R Huitema; Neeltje Steeghs
Journal:  Eur J Clin Pharmacol       Date:  2019-06-07       Impact factor: 2.953

3.  Optimizing the dose in cancer patients treated with imatinib, sunitinib and pazopanib.

Authors:  Nienke A G Lankheet; Ingrid M E Desar; Sasja F Mulder; David M Burger; Dinemarie M Kweekel; Carla M L van Herpen; Winette T A van der Graaf; Nielka P van Erp
Journal:  Br J Clin Pharmacol       Date:  2017-07-04       Impact factor: 4.335

4.  Diclofenac sex-divergent drug-drug interaction with Sunitinib: pharmacokinetics and tissue distribution in male and female mice.

Authors:  Chii Chii Chew; Salby Ng; Yun Lee Chee; Teng Wai Koo; Ming Hui Liew; Evelyn Li-Ching Chee; Pilar Modamio; Cecilia Fernández; Eduardo L Mariño; Ignacio Segarra
Journal:  Invest New Drugs       Date:  2017-03-11       Impact factor: 3.850

Review 5.  How 'Optimal' are Optimal Sampling Times for Tyrosine Kinase Inhibitors in Cancer? Practical Considerations.

Authors:  Michael B Ward; Stephanie E Reuter; Jennifer H Martin
Journal:  Clin Pharmacokinet       Date:  2016-10       Impact factor: 6.447

6.  Sunitinib-paracetamol sex-divergent pharmacokinetics and tissue distribution drug-drug interaction in mice.

Authors:  Ming Hui Liew; Salby Ng; Chii Chii Chew; Teng Wai Koo; Yun Lee Chee; Evelyn Li-Ching Chee; Pilar Modamio; Cecilia Fernández; Eduardo L Mariño; Ignacio Segarra
Journal:  Invest New Drugs       Date:  2017-01-09       Impact factor: 3.850

7.  Association of drug exposure with toxicity and clinical response in metastatic renal cell carcinoma patients receiving an attenuated dosing regimen of sunitinib.

Authors:  Yi Ling Teo; Xiu Ping Chue; Noan Minh Chau; Min-Han Tan; Ravindran Kanesvaran; Hwee Lin Wee; Han Kiat Ho; Alexandre Chan
Journal:  Target Oncol       Date:  2014-12-13       Impact factor: 4.493

8.  [Metastasized renal cell carcinoma. Measurement of plasma levels of the tyrosine kinase inhibitors sunitinib, sorafenib and pazopanib].

Authors:  C Keil; L Götze; P Olbert; R Hofmann; W A Nockher; A Hegele
Journal:  Urologe A       Date:  2015-06       Impact factor: 0.639

Review 9.  Benefit, Risk, and Outcomes in Drug Development: A Systematic Review of Sunitinib.

Authors:  Benjamin Carlisle; Nadine Demko; Georgina Freeman; Amanda Hakala; Nathalie MacKinnon; Tim Ramsay; Spencer Hey; Alex John London; Jonathan Kimmelman
Journal:  J Natl Cancer Inst       Date:  2015-11-07       Impact factor: 13.506

Review 10.  Sunitinib Possible Sex-Divergent Therapeutic Outcomes.

Authors:  Ignacio Segarra; Pilar Modamio; Cecilia Fernández; Eduardo L Mariño
Journal:  Clin Drug Investig       Date:  2016-10       Impact factor: 2.859

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.