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Erschienen in: BMC Cancer 1/2016

Open Access 01.12.2016 | Research article

Response to post-axitinib treatment in patients with metastatic renal cell carcinoma

verfasst von: Namita Chittoria, Housam Haddad, Paul Elson, Nizar M. Tannir, Laura S. Wood, Robert Dreicer, Jorge A. Garcia, Brian I. Rini, Eric Jonasch

Erschienen in: BMC Cancer | Ausgabe 1/2016

Abstract

Background

Axitinib is a potent inhibitor of the vascular endothelial growth factor (VEGF) receptor family with clinical activity in patients with metastatic renal cell carcinoma (mRCC). Given this biochemical potency, the clinical activity of subsequent treatment with targeted therapies in patients progressing on axitinib is of interest.

Methods

Patients with advanced renal cell carcinoma of any pathologic subtype treated with at least one cycle (four weeks) of axitinib followed by at least one subsequent targeted therapy were investigated in a retrospective analysis. Patient characteristics, duration of treatment and clinical outcomes were analyzed for axitinib and each subsequent line of therapy by Response Evaluation Criteria in Solid Tumors (RECIST).

Results

Twenty-five mRCC patients who received at least one approved targeted agent following axitinib were identified. Eight percent of patients achieved a partial response (one patient each to sunitinib and pazopanib) and 42 % had a best response of stable disease to the first therapy after axitinib. The estimated median duration of therapy was 4.4 months (range, 0.2–27.5+). Twelve patients received a second post-axitinib targeted therapy. Six out of 11 evaluable patients (55 %) had a best response of SD. The estimated median duration of treatment was 4.8 months (range, 0.7–19.1+).

Conclusion

Objective responses and stable disease is observed to post-axitinib targeted therapies and prospective studies are needed for validating role of predictive biomarkers.
Hinweise

Competing interests

EJ has received research funding from and acted as consultants for Pfizer, GlaxoSmithKline and Novartis. BR has received research funding from Pfizer and acted as consultant for Pfizer. NT has received research funding from and served on advisory board for Pfizer. LW has received honoraria from Pfizer. RD has acted as a consultant for Novartis. JG has received research funding from Pfizer, Novartis and Astellas and served on advisory board for Pfizer, GSK, Astellas and Aveo. NC, HH and PE have no conflicts of interest.

Authors’ contributions

NC made substantial contribution to acquisition, analysis and interpretation of data, drafting and submission of the manuscript. HH contributed to design of the study, acquisition of the data and drafting of the manuscript. PE contributed to the design of the study and performed the statistical analysis. BR conceived the study, participated in its design and coordination and contributed to interpretation of the data and drafting of the manuscript. EJ, NT, LW, RD, JG participated in the design of the study, contributed to the interpretation of the data and drafting of the manuscript. All authors read and approved the final manuscript.
Abkürzungen
MI
Myocardial Infarction
mRCC
metastatic renal cell carcinoma
ORR
overall response rate
OS
overall survival
PDGF
platelet derived growth factor
PFS
progression free survival
RCC
renal cell carcinoma
RECIST
response evaluation criteria in solid tumors
RPLS
Reversible Posterior Leukoencephalopathy Syndrome
VEGF
vascular endothelial growth factor
VHL
von Hippel-Lindau

Background

Renal cell carcinoma (RCC) is a biologically heterogeneous disease with distinct genetic and metabolic defects [1]. Over the past decade, recognition that von Hippel-Lindau (VHL) gene mutations cause overexpression of vascular endothelial growth factor (VEGF) and increased tumor angiogenesis has led to development of multiple agents targeting this protein and its receptor.
Currently approved therapies for treatment of patients with mRCC include bevacizumab (plus interferon alfa), a humanized monoclonal antibody that inhibits the VEGF ligand, and the multi-targeted receptor tyrosine kinase inhibitors, sunitinib, sorafenib, pazopanib and axitinib (VEGFr- TKIs) [27]. Each agent has a slightly different affinity for the VEGF and platelet derived growth factor (PDGF) receptors, as well as for other receptor tyrosine kinases [8]. Mammalian target of rapamycin (mTOR) inhibitors, which include everolimus and temsirolimus [9, 10] are also approved for treatment of mRCC, and do not appear to have a direct effect on VEGF or its receptors.
The most recently Food and Drug Administration (FDA) approved agent for mRCC is axitinib, a second-generation, indazole derived molecule that binds selectively to the adenosine triphosphate (ATP)-binding intracellular domain of VEGFR-1, 2, and 3 at sub-nanomolar concentrations. The AXIS trial that led to the approval of axitinib was a phase 3, randomized controlled study comparing two VEGFr TKIs, axitinib and sorafenib, in patients whose disease progressed on initial systemic therapy [7]. Patients in each treatment arm had received first-line treatment with sunitinib (54 %), cytokines (35 %), bevacizumab (8 %), or temsirolimus (3 %). In the overall population, patients treated with axitinib experienced a significantly longer median progression free survival (PFS) than patients treated with sorafenib (6.7 vs. 4.7 months; P < 0.0001). Secondary endpoints included overall response rate (ORR), overall survival (OS), and safety and tolerability. ORR was 19.4 % (95 % Cl 15.4–23.9 %) versus 9.4 % (95 % CI 6.6–12.9 %) for axitinib and sorafenib, respectively. In the sub-group of sunitinib-refractory patients, median PFS was 4.8 months for patients treated with second-line axitinib and 3.4 months for patients treated with second-line sorafenib (P = 0.0107). In the subgroup of cytokine-refractory patients, median PFS was 12.1 months for patients treated with second-line axitinib and 6.5months for patients treated with second-line sorafenib (P < 0.0001) [11]. The longer median PFS values observed in cytokine-refractory patients relative to sunitinib-refractory patients points to partial cross-resistance with sequential VEGF-targeted therapy [11]. This suggests that targeting of the same pathway with sequential VEGFr-TKI therapy may follow a law of diminishing returns due to unknown mechanisms of increasing resistance [12].
Knowing that axitinib is the most biochemically potent of the approved VEGFr inhibitors, and that there is possibility of cross-resistance with sequential VEGF-targeting therapy, the response to therapy after progressing on axitinib is of clinical interest.
A retrospective review of patients from the Cleveland Clinic Taussig Cancer Center (CCF) and MD Anderson Cancer Center (MDACC) was thus undertaken to characterize and evaluate the response to subsequent systemic therapy in patients who had progressed on axitinib.

Methods

Study design and patient characteristics

Patients from CCF or MDACC were identified through prospectively maintained databases and included in the study, which was approved by Cleveland Clinic and UT MD Anderson institutional review board. The initial criteria for case identification included a diagnosis of metastatic RCC of any pathologic subtype and treatment with at least one cycle (four weeks) of axitinib. Eighty-one patients treated with axitinib between November 2003 and August 2010 were initially identified; 25 patients (17 (68 %) from CCF and 8 (32 %) from MDACC) received at least one approved targeted agent following axitinib and were included in this analysis. The remaining patients were excluded due to ≤ 4 weeks on axitinib (n = 3), ongoing axitinib therapy (n = 16), lack of subsequent systemic therapy (n = 13), lost to follow up (n = 11), receiving non targeted or investigational agents post-axitinib (n = 11) or were not evaluable (n = 2). All patients were enrolled in axitinib clinical trials given that axitinib therapy pre-dated FDA approval.
Data collection was performed via retrospective review of each patient’s medical record and recorded on a spreadsheet standardized between the two centers. Patient characteristics, duration of treatment and clinical outcomes were analyzed for axitinib and each subsequent line of therapy. Objective response was defined according to RECIST version 1.0. All imaging studies were done at MDACC or CCF and response was evaluated by treating physicians at each institute. There was no centralized review of the radiological findings. Response beyond the second subsequent therapy was not evaluated because of lack of sufficient data.

Statistical analyses

Categorical data were summarized as frequency counts and percentages and measured data by medians and ranges. The Kaplan Meier method was used to summarize the duration of subsequent treatments since some patients were still receiving therapy at the time of analysis. The Wilcoxon signed rank test was used to compare treatment duration with axitinib to the duration on subsequent therapy in patients with complete data. Data analysis was conducted using SAS version 9.2 (SAS Inc., Cary NC)

Results

Patient characteristics

Twenty-five patients (17 (68 %) from CCF and 8 (32 %) from MDACC) received at least one approved targeted agent following axitinib and were included in this analysis. Patient characteristics at the start of axitinib were typical of an advanced RCC population and included 72 % male, median age 59 (range, 44–78); 96 % clear cell; 92 % prior nephrectomy; 72 % previously-treated. Patients had favorable (30 %) or intermediate (65 %) risk disease based on Heng criteria [13]. The overall RECIST-defined objective response rate to axitinib was 56 % (one complete and 13 partial response) and the median duration of treatment with axitinib was 11.2 months (range, 1.1–90) (Table 1).
Table 1
Patient characteristics and clinical outcomes to axitinib
Characteristic
N (%)
Gender
 
 Male
18 (72 %)
 Female
7 (28 %)
Age at Start of Axitinib (years)a
 
 Median (range)
59 (44-78)
Histology
 
 Clear cell
24 (96 %)
 Unclassified
1 (4 %)
Prior Nephrectomy
 
 No
2 (8 %)
 Yes
23 (92 %)
Prior Systemic Treatment
 
 No
7 (28 %)
 Yes
18 (72 %)
 IFN and/or IL-2
11 (44 %)
 Sorafenib
9 (36 %)
 Sunitinib
6 (24 %)
 Temsirolimus
1 (4 %)
 Bevacizumab
1 (3 %)
 Otherb
4 (16 %)
Interval from Dx of Mets to Axitiniba
 
 Median in months (range)
20.1 (0.2–49.9)
ECOG PS
 
 0
7 (28 %)
 1
18 (72 %)
Heng Risk Groupc
 
 Favorable
7 (30 %)
 Intermediate
15 (65 %)
 Unfavorable
1 (4 %)
Sites of Metastatic Disease
 
 Lung
20 (80 %)
 Lymph nodes
13 (52 %)
 Bone
6 (24 %)
 Liver
5 (20 %)
 Adrenal
5 (20 %)
 Pancreas
4 (16 %)
 Brain
2 (8 %)
 Otherd
12 (48 %)
Best Response to axitinib
 
 CR
1 (4 %)
 PR
13 (52 %)
 SD
10 (40 %)
 PD
1 (4 %)
Reason Axitinib Stopped
 
 PD
21 (84 %)
 Toxicity
4 (16 %)
Duration of Treatment
 
 Median in months (range)
11.2 (1.1–90.0)
amissing for one patient
balone or in combination: thalidomide (n = 3); gemcitabine,5-FU, ABX-EGF, capecitabine, lenalidomide, suramin, vinblastine (n = 1 each)
cmissing for two patients
dkidney/renal bed (n = 5); pleura (n = 4); abdominal wall, muscle, omentum, pelvic mass, retroperitoneum, soft tissue (n = 1 each)

Response to first subsequent therapy post axitinib

Following axitinib therapy, patients were treated with VEGF receptor inhibitors (n = 18) or mTOR inhibitors (n = 7). Overall, 8 % of patients achieved a partial response (one patient each to sunitinib and pazopanib) and 42 % had a best response of stable disease (nine patients to VEGF receptor inhibitors and four patients to mTOR inhibitors). The estimated median duration of subsequent therapy was 4.4 months (range, 0.2–27.5+) (Table 2).
Table 2
Patient characteristics and clinical outcomes to post-axitinib systemic therapy
Factor
 
First post-axitinib therapy (n = 25)
Second post-axitinib therapy (n = 12)
Interval from End of Axitinib Therapy to Start of Current Therapy Median in weeks (range)
 
2.0 (0–41.7)a
37.4 (2.6–93.0)
Treatment
 
N ( %)
N ( %)
 VEGF inhibitors
 
18 (72 %)
3 (25 %)
 Sunitinib
 
8 (32 %)
−0-
 Pazopanib
 
6 (24 %)
1 (8 %)
 Bevacizumab
 
4 (16 %)
2 (17 %)
 mTOR inhibitors
 
7 (28 %)
8 (67 %)
 Everolimus
 
5 (20 %)
5 (42 %)
 Temsirolimus
 
2 (8 %)
3 (25 %)
 Other
 
−0-
1 (8 %)b
ECOG PS
   
 0
 
3 (13 %)
2 (17 %)
 1
 
19 (79 %)
9 (75 %)
 2
 
2 (8 %)a
1 (8 %)
Heng Risk Group
   
 Favorable
 
9 (41 %)
3 (30 %)
 Intermediate
 
12 (55 %)
6 (60 %)
 Unfavorable
 
1 (5 %)c
1 (10 %)d
Best Response
   
 PD
 
2 (8 %)
−0-
 SD
 
13 (42 %)
6 (55 %)
 PD
 
7 (28 %)
4 (36 %)
 Not evaluable
 
3 (12 %)
1 (9 %)a
Reason Treatment Stopped
   
 PD/Death
 
17 (68 %)
6 (54 %)
 Toxicity
 
4 (16 %)
2 (18 %)
Treatment ongoing
 
4 (16 %)
3 (27 %)
Duration of Treatment (subsequent therapy) Median in months (range)
 
4.4 (0.2–27.5+)a
4.8 (0.7–19.1+)a
amissing for one patient
bMK2206
cmissing for three patients
dmissing for two patients
The response to first subsequent therapy was evaluated in the subgroup of patients who had received axitinib as second-line or later therapy (72 %, 18/25) and in patients who had received no therapy prior to axitinib (28 %, 7/25). Ten patients (55 %) had a best response of stable disease in the group of patients who had received axitinib as second-line or later therapy as compared to three (42 %) in the latter group. One patient achieved partial response in both groups (Table 3).
Table 3
Prior treatments and clinical outcomes to axitinib and first subsequent therapy
Patient ID
Therapies prior to Axitinib
Duration of axitinib treatment (mon)
Best response to Axitinib
Reason for discontinuation
Interval from End of Axitinib Therapy to Start of Subsequent Therapy (weeks)
Subsequent therapy 1
Best response
1
IL-2 plus IFN
18
PR
PD
28
Sunitinib
PR
2
IL-2 plus IFN
90
PR
PD
1
Bevacizumab
SD
3
IL-2 plus IFN
24
SD
PD
41
Sunitinib
Not evaluable
4
IL-2
6
PR
PD
0
Pazopanib
PD
5
IL-2 plus thalidomide, Sorafenib
41
PR
PD
2
Sunitinib
SD
6
IL-2/Bevacizumab
18
SD
PD
3
Pazopanib
SD
7
IL-2, sunitinib, IFN, sorafenib
8
SD
PD
1
Bevacizumab
PD
8
IL-2 plus IFN, BAY 43-9006, Sorafenib
31
PR
Toxicity, RPLSa
10
Temserolimus
SD
9
IFN,vinblastin plus thalidomide,IL-2, Gemcitabine plus Capecitabine, Sorafenib
53
PR
Toxicity, MIb
7
Pazopanib
SD
10
IFN, Sunitinib, Sorafinib
8
SD
PD
35
Temserolimus
SD
11
IFN, IL-2/thalidomide, IL-2/IFN, sunitinib, sorafenib
11
SD
PD
2
Bevacizumab
PD
12
ABX-EGF, CC-5013, 5FU/suramin, Sorafinib
4
SD
PD
5
Sunitinib
SD
13
Sunitinib
1
PD
PD
0
Everolimus
Not evaluable
14
Sunitinb
3
SD
PD
1
Everolimus
PD
15
Sunitinib
3
SD
PD
0
Everolimus
SD
16
Sorafenib
19
PR
PD
2
Sunitinib
PD
17
Sorafenibb
41
PR
PD
2
Sunitinib
SD
18
Temsirolimus
6
PR
Toxicity
0
Pazopanib
SD
19
None
29
PR
PD
3
Everolimus
SD
20
None
20
PR
PD
2
Everolimus
PD
21
None
2
CR
Toxicity
0
Pazopanib
PR
22
None
4
SD
PD
32
Sunitinib
SD
23
None
13
PR
PD
2
Bevacizumab
PD
24
None
6
SD
PD
2
Pazopanib
SD
25
None
6
PR
PD
3
Sunitinib
Not evaluable
aReversible Posterior Leukoencephalopathy Syndrome
bMyocardial Infarction

Response to second subsequent therapy post axitinib

Eleven of twelve patients who received a second post-axitinib targeted therapy were treated with VEGF receptor inhibitors (n = 3) or mTOR inhibitors (n = 8). No partial responses were observed. However, six of 11 evaluable patients (55 %) had a best response of SD to mTOR inhibitors. The estimated median duration of treatment was 4.8 months (range, 0.7–19.1+).
Patient response to subsequent therapy was generally less favorable than the response to axitinib. This was true also for four patients who discontinued axitinib due to toxicity and not due to progressive disease. Among 13 evaluable patients who achieved a CR or PR on axitinib, only 2 (15 %) achieved a PR on their next systemic therapy, 7 (54 %) had a best response of stable disease, and 4 (31 %) progressed.
Further, Fig. 1 delineates two populations The majority of the 14 patients who had a prolonged response to axitinib had brief responses (<3 months) to subsequent therapies; however seven patients (28 %) remained on their first post-axitinib therapy longer than on axitinib. Despite this, the overall duration of axitinib treatment was longer as compared to subsequent therapy (median 11.2 versus 4.4 months, p = 0.04). All of these seven patients had clear cell RCC without sarcomatoid features and six of these seven patients received sunitinib or pazopanib as first subsequent therapy and only one received temsirolimus.

Discussion

The standard of care in metastatic RCC is the empiric and sequential use of systemic therapies, most of which target VEGF. Previous retrospective and prospective evidence points to lack of complete cross-resistance to sequential VEGF-targeting therapies [14, 15], although in general the clinical activity decreases with drugs given later in the sequence. The reasons for development of resistance to initial therapy and factors affecting response to subsequent therapy are not well understood at present. The present analysis demonstrates that clinical responses (objective partial responses and stable disease) are possible if VEGF receptor inhibitors are given after axitinib, although in general the activity of subsequent therapy is less than that observed with axitinib.
It has been hypothesized that residual VEGF signaling after VEGF-targeted therapy could account for the activity of VEGF-targeted agents in this setting. Given the increased biochemical potency of axitinib, it was hypothesized that therapy (specifically VEGF-targeted therapy) after axitinib treatment may not result in clinical benefit. Our retrospective data suggests that clinical effect is seen in patients with metastatic RCC who receive systemic therapy after axitinib, not only as second but also as third line. Two thirds of our patients had received systemic therapy prior to axitinib and we still observed objective responses on subsequent therapies, median duration of therapy was over four months and seven patients remained on first subsequent therapy longer than axitinib. This may be explained by the therapeutic effect of different target engagement by the various VEGF multikinase inhibitors [16, 17]. Our study also delineates two populations, one that responds better to axitinib and another to subsequent therapy. This variable response emphasizes possible role of molecular biomarkers in guiding individualized patient management and improving outcomes.
There are limitations to this analysis. This is a retrospective review of a small number of patients at two specialized institutions with inability to overcome selection bias. Individual treating physicians at each institute did the tumor assessment, thus limiting the reliability and consistency of the percent changes in tumor burden and the assessment of objective response.
Further prospective trials are evaluating second-line treatment with approved or investigational agents in patients with mRCC who were refractory to previous treatment with a targeted agent. Other trials are evaluating the optimal sequence of targeted agents in treatment-naive patients with mRCC. Results of these trials may give us some insight into efficacy of sequenced VEGFR – TKIs and cross – resistance in metastatic renal cell carcinoma.

Conclusion

Objective responses and stable disease is observed with post-axitinib targeted therapy, although efficacy is generally less than that seen with axitinib. Prospective studies will help us understand if prior response or resistance to axitinib predicts for clinical benefit to subsequent therapy. Variable patient response to drugs in the same class warrants prospective studies to validate role of predictive biomarkers in guiding individualized therapies and improving outcomes.
Waived.
Non-applicable.

Availability of data and materials

The dataset supporting the conclusions of this article is available at request from the corresponding author.

Acknowledgements

None.

Funding

This study was conducted without any specific source of funding.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.

Competing interests

EJ has received research funding from and acted as consultants for Pfizer, GlaxoSmithKline and Novartis. BR has received research funding from Pfizer and acted as consultant for Pfizer. NT has received research funding from and served on advisory board for Pfizer. LW has received honoraria from Pfizer. RD has acted as a consultant for Novartis. JG has received research funding from Pfizer, Novartis and Astellas and served on advisory board for Pfizer, GSK, Astellas and Aveo. NC, HH and PE have no conflicts of interest.

Authors’ contributions

NC made substantial contribution to acquisition, analysis and interpretation of data, drafting and submission of the manuscript. HH contributed to design of the study, acquisition of the data and drafting of the manuscript. PE contributed to the design of the study and performed the statistical analysis. BR conceived the study, participated in its design and coordination and contributed to interpretation of the data and drafting of the manuscript. EJ, NT, LW, RD, JG participated in the design of the study, contributed to the interpretation of the data and drafting of the manuscript. All authors read and approved the final manuscript.
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Metadaten
Titel
Response to post-axitinib treatment in patients with metastatic renal cell carcinoma
verfasst von
Namita Chittoria
Housam Haddad
Paul Elson
Nizar M. Tannir
Laura S. Wood
Robert Dreicer
Jorge A. Garcia
Brian I. Rini
Eric Jonasch
Publikationsdatum
01.12.2016
Verlag
BioMed Central
Erschienen in
BMC Cancer / Ausgabe 1/2016
Elektronische ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-016-2282-5

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