Impact of liver tumour burden, alkaline phosphatase elevation, and target lesion size on treatment outcomes with 177Lu-Dotatate: an analysis of the NETTER-1 study
verfasst von:
Jonathan Strosberg, Pamela L. Kunz, Andrew Hendifar, James Yao, David Bushnell, Matthew H. Kulke, Richard P. Baum, Martyn Caplin, Philippe Ruszniewski, Ebrahim Delpassand, Timothy Hobday, Chris Verslype, Al Benson, Rajaventhan Srirajaskanthan, Marianne Pavel, Jaume Mora, Jordan Berlin, Enrique Grande, Nicholas Reed, Ettore Seregni, Giovanni Paganelli, Stefano Severi, Michael Morse, David C. Metz, Catherine Ansquer, Frédéric Courbon, Adil Al-Nahhas, Eric Baudin, Francesco Giammarile, David Taïeb, Erik Mittra, Edward Wolin, Thomas M. O’Dorisio, Rachida Lebtahi, Christophe M. Deroose, Chiara M. Grana, Lisa Bodei, Kjell Öberg, Berna Degirmenci Polack, Beilei He, Maurizio F. Mariani, Germo Gericke, Paola Santoro, Jack L. Erion, Laura Ravasi, Eric Krenning, on behalf of the NETTER-1 study group
To assess the impact of baseline liver tumour burden, alkaline phosphatase (ALP) elevation, and target lesion size on treatment outcomes with 177Lu-Dotatate.
Methods
In the phase 3 NETTER-1 trial, patients with advanced, progressive midgut neuroendocrine tumours (NET) were randomised to 177Lu-Dotatate (every 8 weeks, four cycles) plus octreotide long-acting release (LAR) or to octreotide LAR 60 mg. Primary endpoint was progression-free survival (PFS). Analyses of PFS by baseline factors, including liver tumour burden, ALP elevation, and target lesion size, were performed using Kaplan-Meier estimates; hazard ratios (HRs) with corresponding 95% CIs were estimated using Cox regression.
Results
Significantly prolonged median PFS occurred with 177Lu-Dotatate versus octreotide LAR 60 mg in patients with low (< 25%), moderate (25–50%), and high (> 50%) liver tumour burden (HR 0.187, 0.216, 0.145), and normal or elevated ALP (HR 0.153, 0.177), and in the presence or absence of a large target lesion (diameter > 30 mm; HR, 0.213, 0.063). Within the 177Lu-Dotatate arm, no significant difference in PFS was observed amongst patients with low/moderate/high liver tumour burden (P = 0.7225) or with normal/elevated baseline ALP (P = 0.3532), but absence of a large target lesion was associated with improved PFS (P = 0.0222). Grade 3 and 4 liver function abnormalities were rare and did not appear to be associated with high baseline liver tumour burden.
Conclusions
177Lu-Dotatate demonstrated significant prolongation in PFS versus high-dose octreotide LAR in patients with advanced, progressive midgut NET, regardless of baseline liver tumour burden, elevated ALP, or the presence of a large target lesion.
This article is part of the Topical Collection on Endocrinology.
Prior Presentation
This study has been presented in part at the 31st Annual Congress of the European Association of Nuclear Medicine (EANM); October 13–17, 2018; Dusseldorf, Germany; and at the European Society for Medical Oncology (ESMO) 2018 Annual Congress; October 19–23, 2018; Munich, Germany.
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Introduction
The liver is the dominant site of metastatic disease amongst patients with stage IV well-differentiated neuroendocrine tumours (NET) [1]. High liver tumour burden has been shown to be a poor prognostic factor in multiple studies [2‐8]. In the phase 3 PROMID study (which randomised patients with midgut NET to octreotide long-acting release [LAR] versus placebo), liver tumour burden > 10% was associated with a hazard ratio (HR) for progression of 2.63 on multivariate analysis [2]. Another prognostic factor is serum alkaline phosphatase (ALP) [9‐13], which may be elevated with extensive liver involvement and bone metastases [10, 14]. In one series of metastatic gastrointestinal NET, ALP ≥ upper limit of normal (ULN) was associated with a median progression-free survival (PFS) of 10 months versus 33 months with normal ALP (multivariate HR, 2.49, P = 0.017) [10].
Tumour size is often considered a prognostic factor for patients treated with radiolabelled somatostatin analogue (SSA) [15]. Lutetium-177 (177Lu) is a beta- and gamma-emitting radionuclide [16]. Compared with Yttrium-90 (90Y), 177Lu has lower maximum and mean beta particle energies and maximum and mean soft-tissue penetration depths of 1.7 and 0.23 mm, respectively [16], considered ideal for treatment of intermediate-sized tumours but hypothesised to be suboptimal for large tumours [15, 17, 18]. However, correlation between tumour size and 177Lu effectiveness has not been evaluated in a randomised controlled trial.
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To assess the impact of these potential prognostic and predictive factors on 177Lu-Dotatate efficacy and toxicity, we conducted a post hoc analysis of the NETTER-1 trial, the only prospective phase 3 study of a radiolabelled SSA [19]. In NETTER-1, 231 patients with progressive midgut NET were randomised to 177Lu-Dotatate every 8 weeks for four cycles, or high-dose octreotide LAR 60 mg every 4 weeks. At the time of primary endpoint data analysis (24 July 2015), median PFS was not reached (NR) in the 177Lu-Dotatate arm and was 8.4 months in the control arm (HR 0.21; 95% CI 0.13–0.33) [19]. Health-related QOL analysis (30 June 2016) demonstrated significant improvement in time to decline (TTD) with 177Lu-Dotatate in the clinically relevant domains of global health status, physical functioning, role functioning, diarrhoea, pain, and fatigue [20].
We assessed the impact of baseline liver tumour burden on 177Lu-Dotatate treatment efficacy outcomes (PFS), TTD in QOL, and hepatic toxicity rates. We evaluated the predictive and prognostic power of elevated ALP, whether presence of ≥ 1 target lesion >3 cm in diameter impacted PFS benefit with 177Lu-Dotatate, and whether baseline tumour size correlated inversely with tumour shrinkage rates.
Methods
NETTER-1 key eligibility criteria and study design
Eligible patients were aged ≥ 18 years with locally advanced or metastatic, low-, or intermediate-grade (Ki-67 ≤ 20%) NET originating in the midgut with radiologic disease progression (according to Response Evaluation Criteria in Solid Tumours version 1.1 over ≤3 years) while receiving a standard dose of octreotide. All target lesions were required to be somatostatin-receptor-positive. Hepatic exclusion criteria were total bilirubin > 3× ULN and serum albumin ≤ 3.0 g/dL, unless prothrombin time was within normal range.
Patients were randomised to four cycles of 177Lu-Dotatate (administered every 8 weeks) along with intramuscular (IM) octreotide LAR 30 mg every 8 weeks (followed by maintenance octreotide LAR 30 mg every 4 weeks) or to high-dose octreotide LAR 60 mg every 4 weeks. Patients were stratified by highest tumour uptake on somatostatin receptor scintigraphy and by duration of prior treatment with constant-dose octreotide LAR (≤ 6 or > 6 months).
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The trial protocol was approved by the institutional review board or independent ethics committee at each institution. The trial was performed in accordance with the principles of the Declaration of Helsinki, International Conference on Harmonisation Good Clinical Practice guidelines, and all applicable regulations. All patients provided written informed consent.
PFS by extent of liver tumour burden
Baseline liver tumour burden was estimated by blinded central radiology review (Keosys, Saint Herblain, France) and categorised into subgroups of low (< 25%), moderate (25–50%), or high (> 50%) tumour burden according to liver tumour volume divided by total liver volume by computed tomography (CT) or magnetic resonance imaging (MRI). The thresholds chosen were similar to those described in prior phase 3 studies evaluating SSAs in NETs [2, 21].
PFS curves for each treatment arm and median PFS with corresponding 95% CIs were generated using Kaplan-Meier estimates, stratified by liver tumour burden, and the log-rank test was used for within–treatment arm comparisons of PFS. HRs with corresponding 95% CIs and P-values were estimated using a Cox regression model with randomised treatment, liver tumour burden at baseline and liver tumour burden × randomised treatment interaction term as covariates. The primary data analysis cutoff was 24 July 2015.
PFS by baseline ALP
PFS curves were generated for each treatment arm, stratified by baseline ALP (normal, or > ULN, based on institutional ULN), and the log-rank test was used for within–treatment arm PFS comparisons. HRs with corresponding 95% CIs and P-values were generated using the methodology described above.
PFS by presence or absence of a large lesion
Patients were stratified into two subgroups based on the presence or absence of at least one target lesion >30 mm in diameter at any body site on CT or MRI at baseline. This approximate size threshold has been described in previous literature as distinguishing ‘large’ tumours from smaller ones in animal studies of peptide receptor radionuclide therapy (PRRT) [18, 22]. PFS curves were generated for each treatment arm, stratified by the presence or absence of large target tumour, and the log-rank test was used for within–treatment arm comparisons of PFS. HRs with corresponding 95% CIs and P-values were generated using the methodology described above.
Liver lesion shrinkage by baseline liver lesion size
A mixed model repeated measures (MMRM) analysis included study visit, baseline tumour size (≤ 30 mm and > 30 mm), and baseline tumour size × study visit interaction as fixed effects, and was used to evaluate the effect of baseline tumour size on least squares mean percentage change in tumour size from baseline to week 72 (data cutoff, 30 June 2016).
Hepatic toxicity by extent of liver tumour burden
Assessment of grade 3 or 4 liver function test (LFT) abnormalities (aspartate aminotransferase [AST], alanine aminotransferase [ALT], ALP, albumin, and bilirubin) was stratified by tumour burden categories described above. The analysis comprised all patients who underwent randomisation and received at least one dose of trial treatment (data cutoff, 30 June 2016). Adverse events in NETTER-1 were graded according to the National Cancer Institute Common Terminology Criteria for Adverse Events, version 4.02.
QOL by extent of liver tumour burden
TTD of QOL (data cutoff, 30 June 2016) was defined as the time from randomisation to first deterioration ≥ 10 points (100-point scale) compared with baseline on EORTC QLQ-C30 and GI-NET21. TTD was estimated using Kaplan-Meier methodology and stratified by liver tumour burden subgroup: low (< 25%) or moderate to high (≥ 25%).
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Results
In total, 231 patients (117 177Lu-Dotatate patients, 114 high-dose octreotide patients) were enrolled in NETTER-1; 223 received at least one dose of study drug and were eligible for safety analysis (see Fig. S1 in the Supplementary material). At the time of the primary PFS analysis, 229 patients were enrolled. Most had liver metastases at baseline (98/116 [84.5%] and 94/113 [83.2%] in the 177Lu-Dotatate and octreotide arms, respectively). Supplementary TableS1 summarizes the distribution of patients stratified by liver tumour burden, ALP elevation, and presence of a large target lesion at baseline.
PFS by extent of liver tumour burden
Statistically and clinically significant prolongation of PFS with 177Lu-Dotatate was observed in patients with low, moderate, and high liver tumour burden, with nearly identical HRs for progression or death across all prognostic groups (Fig. 1). Median PFS was NR in the 177Lu-Dotatate arm versus 9.1 months in the high-dose octreotide arm (HR 0.19; P < 0.0001) in those with low burden; NR versus 8.7 months in those with moderate burden (HR 0.22; P = 0.0098); and NR versus 5.4 months in those with high burden (HR 0.15; P = 0.0018).
Fig. 1
Kaplan-Meier analysis of progression-free survival by treatment arm (patients randomised to four cycles of peptide receptor radionuclide therapy with 177Lu-Dotatate + octreotide LAR 30 mg or octreotide LAR 60 mg) and baseline extent of liver tumour burden (low [< 25%], moderate [25–50%], or high [> 50%]). Liver tumour burden is calculated according to liver tumour volume divided by total liver volume by computed tomography or magnetic resonance imaging. Data cutoff: 24 July 2015. HRs with corresponding 95% CIs and P-values were estimated using a Cox regression model with randomised treatment, liver tumour burden at baseline, and liver tumour burden × randomised treatment interaction term as covariates. Log-rank test used for within-treatment arm comparisons of PFS. CI: confidence interval, HR: hazard ratio, LAR: long-acting release, NR: not reached, PFS: progression-free survival
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Within the 177Lu-Dotatate arm, no significant difference in PFS was observed with low, moderate, or high baseline tumour burden (log-rank P = 0.7225). However, within the high-dose octreotide arm, there was a significant correlation between liver tumour burden and PFS, with median PFS of 9.1, 8.7, and 5.4 months for low, moderate, and high burdens, respectively (log-rank P = 0.0169).
PFS by normal or elevated ALP
In each treatment arm, 112 patients had evaluable baseline ALP. Statistically and clinically significant prolongation of PFS with 177Lu-Dotatate was observed amongst patients with normal and elevated baseline ALP, with nearly identical HRs for progression or death in both prognostic groups (Fig. 2), as reported in the original subgroup analysis of the NETTER-1 study [19]. Median PFS was NR in the 177Lu-Dotatate arm versus 8.5 months in the high-dose octreotide arm (HR 0.15; P < 0.0001) in the normal ALP group and NR versus 5.8 months (HR 0.18; P < 0.0001) in the elevated baseline ALP group.
Fig. 2
Kaplan-Meier analysis of progression-free survival by treatment arm (patients randomised to four cycles of peptide receptor radionuclide therapy with 177Lu-Dotatate + octreotide LAR 30 mg or octreotide LAR 60 mg) and baseline normal (≤ ULN) or elevated (> ULN) alkaline phosphatase levels (based on institutional ULN). Data cutoff: 24 July 2015. One-hundred twelve patients in either treatment arm had evaluable baseline ALP levels and were included in this analysis. HRs with corresponding 95% CIs and P-values were estimated using a Cox regression model with randomised treatment, alkaline phosphatase level, and alkaline phosphatase level × randomised treatment interaction term as covariates. Log-rank test was used for within-treatment arm comparisons of PFS. ALP: alkaline phosphatase, CI: confidence interval, HR: hazard ratio, LAR: long-acting release, NR: not reached, PFS: progression-free survival, ULN: upper limit of normal
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No significant difference in PFS was observed amongst patients with normal versus elevated ALP in the 177Lu-Dotatate (log-rank P = 0.3532) or high-dose octreotide arm (log-rank P = 0.0911).
PFS by presence of a large target lesion
Amongst target lesions in patients within the 177Lu-Dotatate arm, 128 large tumours (>30 mm diameter) were identified, of which 89 (70%) were liver tumours; in the high-dose octreotide arm, 134 large tumours were identified; 93 (69%) were liver tumours. Regardless of presence or absence of a large baseline lesion, median PFS was significantly prolonged amongst patients treated with 177Lu-Dotatate versus high-dose octreotide (Fig. 3). The benefit was particularly pronounced amongst patients with no large target baseline lesion: median PFS was NR in the 177Lu-Dotatate arm versus 8.3 months in the high-dose octreotide arm (HR 0.063; P = 0.0002). However, there was also clinically and statistically significant benefit of 177Lu-Dotatate amongst patients with ≥ 1 large target tumour; median PFS was NR in the 177Lu-Dotatate arm versus 8.5 months in the high-dose octreotide arm (HR 0.21; P < 0.0001).
Fig. 3
Kaplan-Meier analysis of progression-free survival by treatment arm (patients randomised to four cycles of peptide receptor radionuclide therapy with 177Lu-Dotatate + octreotide LAR 30 mg or octreotide LAR 60 mg) and presence or absence of at least one large (> 30 mm diameter) target lesion at any site of the body at baseline imaging with computed tomography or magnetic resonance imaging. Data cutoff: 24 July 2015. HRs with corresponding 95% CIs and P-values were estimated using a Cox regression model with randomised treatment, presence/absence of large target lesion, and presence/absence of large target lesion × randomised treatment interaction term as covariates. Log-rank test was used for within–treatment arm comparisons of PFS. CI: confidence interval, HR: hazard ratio, LAR: long-acting release, NR: not reached, PFS: progression-free survival
×
The presence or absence of a large baseline lesion did not impact the PFS of patients receiving high-dose octreotide (median PFS, 8.5 versus 8.3 months; log-rank P = 0.3566). However, absence of a large target lesion was associated with improved PFS in the 177Lu-Dotatate arm (log-rank P = 0.0222), although median PFS was NR in both groups.
Decrease in target liver tumour diameter stratified by baseline liver tumour size
To assess whether baseline liver tumour size correlates with radiographic tumour shrinkage in patients receiving 177Lu-Dotatate, we stratified target lesions into two groups based on tumour diameter: ≤ 30 mm and > 30 mm. Changes in measurements at each scanning interval up to 72 weeks were evaluated for each lesion and averaged for each baseline size category (Fig. 4). Tumour size significantly decreased from baseline to week 72 (P < 0.0001) regardless of baseline size. At 72 weeks, least squares mean shrinkage was 29% and 14% in the ≤ 30 mm and > 30 mm groups, respectively. There was a significant interaction of baseline tumour size by time of visit (P = 0.0085) within the 177Lu-Dotatate-treated group, indicating that liver tumour size shrinkage over time differs by baseline size.
Fig. 4
Least squares mean percentage change from baseline in the size of liver lesions at each study visit in the 177Lu-Dotatate arm, stratified by baseline liver lesion size. Data cutoff: 30 June 2016. A lesion-based mixed model repeated measures analysis included study visit, baseline target liver lesion size (≤ 30 mm or > 30 mm), and baseline target liver lesion size × study visit interaction as fixed effects
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TTD in QOL stratified by baseline liver tumour burden
In patients with low tumour burden (< 25%), median TTD of global health status was 28.8 months in the 177Lu-Dotatate arm versus 6.1 months in the high-dose octreotide arm (HR 0.376; P = 0.0022). In patients with moderate/high tumour burden (≥ 25%), the median TTD of global health status was NR in the 177Lu-Dotatate versus 6.0 months in the high-dose octreotide arm (HR 0.45; P = 0.0868). The median TTD of other clinically relevant QOL domains stratified by tumour burden are shown in Supplementary TableS2.
Analysis of hepatic toxicity by extent of baseline liver tumour burden
Grade 3 and 4 LFT abnormalities were rare and did not appear to be associated with high baseline liver tumour burden in either arm (Table 1). Because of the very low frequency of clinically significant toxicity in both arms, a comparative statistical test was not performed.
Table. 1
Frequency of grade 3 or 4 liver function test abnormalities in the safety population by treatment arm (patients randomised to four cycles of peptide receptor radionuclide therapy with 177Lu-Dotatate + octreotide LAR 30 mg or octreotide LAR 60 mg) and baseline liver tumour burden (low [< 25%], moderate [25–50%], or high [> 50%]). Liver tumour burden is calculated according to liver tumour volume divided by total liver volume by computed tomography or magnetic resonance imaging
Baseline liver tumour burden
Treatment
No. of Patients
Grade 3 or 4 Liver function test abnormalities, no. of patients
The impact of liver tumour burden and largest tumour size on outcomes with 177Lu-Dotatate has not been well established, partly owing to lack of randomised studies, which are often necessary to identify predictive factors. Two retrospective studies of 177Lu-Dotatate have demonstrated that tumour burden ≥ 25% is associated with a shorter median OS in multivariate analyses (HR 2.9 and 2.1, respectively); however, the relationship with PFS was not investigated [5, 6]. Our analysis demonstrates that high tumour burden does not predict diminished PFS benefit from 177Lu-Dotatate versus high-dose octreotide. Indeed, the HR for PFS benefit in the high tumour burden group was nearly identical to the benefit in the low burden cohort. When evaluating each treatment arm separately, high tumour burden was a negative prognostic factor for PFS in the high-dose octreotide arm but did not correlate with negative outcomes in the 177Lu-Dotatate arm, suggesting that 177Lu-Dotatate may mitigate the negative impact of tumour burden.
Similar findings were observed with ALP elevation as with tumour burden, which is consistent with the association of ALP with tumour burden [10]. The HR for PFS benefit with 177Lu-Dotatate versus high-dose octreotide in the high ALP group was nearly identical to the benefit in the normal ALP group. A study of patients treated with 177Lu-Dotatate has demonstrated ALP elevation (> 120 IU/L) to be a negative prognostic factor in terms of OS, but did not assess PFS [9].
In this study, presence or absence of a large (> 30 mm) target lesion did not impact the PFS of patients receiving high-dose octreotide (median PFS 8.3 versus 8.5 months, respectively). This suggests that the effect of octreotide is independent of tumour size. Patients lacking a large target lesion had a particularly pronounced PFS benefit with 177Lu-Dotatate versus high-dose octreotide, with a 94% improvement in risk of progression or death (HR 0.06). PFS benefit with 177Lu-Dotatate versus high-dose octreotide was also seen with at least one large target lesion (HR 0.21). However, in those receiving 177Lu-Dotatate, absence of a large target lesion was associated with improved PFS. Mean tumour shrinkage with 177Lu-Dotatate correlated with baseline tumour size, being highest in target lesions ≤ 30 mm. These outcomes indicate the effectiveness of 177Lu-Dotatate across a spectrum of tumour sizes but also suggest that its effectiveness is particularly high in smaller tumours. Randomized trials are necessary to prove or disprove the hypothesis that longer-range radionuclides (e.g, 90Y) should be used in combination or as an alternative to 177Lu-based PRRT in patients with large tumours.
The QOL findings suggest that 177Lu-Dotatate has a clinically relevant beneficial impact on overall QOL as well as on specific NET-related symptoms regardless of tumour burden. However, when stratified by tumour burden, most QOL results were not significant owing to the small number of patients in each cohort (data not shown).
Concerns exist regarding the safety of 177Lu-Dotatate in patients with high tumour burden owing to the potential for radiation hepatitis. Data from NETTER-1 did not validate this hypothesis. LFT elevations were rare and did not appear to correlate with baseline tumour burden. It is important to note, however, that safety findings in patients with tumour burden > 50% do not necessarily imply that treatment is equally safe in patients with extreme tumour burden (e.g., > 90%). A limitation of this study is that central readers did not specify the patients with extreme tumour burden (> 90%), and therefore no specific safety analysis in that subgroup was possible.
In summary, 177Lu-Dotatate demonstrated significant prolongation in PFS versus high-dose octreotide in patients with advanced, progressive midgut NET, regardless of baseline liver tumour burden, elevated ALP, or presence of a large target lesion. 177Lu-Dotatate is effective across a spectrum of tumour sizes, but its effectiveness is particularly high in smaller tumours, potentially supporting early treatment in patients with progressive disease. Clinically relevant LFT abnormalities were rare and were not associated with high baseline liver tumour burden.
Acknowledgements
We thank the participating patients and their families, as well as the global network of research nurses, trial coordinators, and operations staff for their contributions, and the investigators whose patients were enrolled in this trial, including: Belgium: Eric Van Cutsem; France: Catherine Ansquer, Eric Baudin, Frederic Courbon, Francesco Giammarile, Philippe Ruszniewski, David Taieb; Germany: Richard P. Baum, Marianne Pavel, Klemens Scheidhauer, Matthias Weber; Italy: Lisa Bodei, Ernesto Brianzoni, Gianfranco Delle Fave, Maria Chiara Grana, Giuliano Mariani, Guido Rindi, Ettore Seregni, Stefano Severi; Portugal: Isabel Azevedo; Spain: Enrique Grande, Jaime Mora; Sweden: Kjell Öberg, Anders Sundin; United Kingdom: Adil Al Nahhas, Martyn Caplin, Nick Freemantle, Ashley Grossman, Prakash Manoharan, Nicholas Reed, Rajaventhan Srirajaskanthan; USA: Lowell Anthony, Al B. Benson, Jordan Berlin, David Bushnell, Ebrahim Delpassand, Stanley Garbus, Andrew Hendifar, Timothy Hobday, Matthew Kulke, Pamela Kunz, Larry Kvols, David Metz, Erik Mittra, Michael Morse, Meike Schipper, Jonathan Strosberg, Edward Wolin, James Yao.
Contributions
All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Berna Polack, Beilei He, and Paola Santoro. The first draft of the manuscript was written by Jonathan Strosberg, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.”
Compliance with ethical standards
Conflict of interest
J. Strosberg reports fees for consulting or advisory roles with Novartis; participation in speakers’ bureaus with Ipsen and Lexicon; and research funding from Merck and Novartis.
P. L. Kunz reports fees for consulting or advisory roles with Advanced Accelerator Applications, Ipsen, Lexicon, and Novartis; research funding from Advanced Accelerator Applications, Ipsen, Lexicon, Xencor, and Brahams; and is a stockholder with Guardant Health.
A. Hendifar reports fees for consulting or advisory roles with Novartis and Ipsen; and research funding from Halo, Ipsen, Novartis, Merck, Xencor, AbbVie.
J. Yao reports fees for consulting or advisory roles with Novartis, Ipsen, Hutchison Medi Pharma, and Tarveda.
D. Bushnell reports honoraria from Novartis, Advanced Accelerator Applications; consulting or advisory roles with Novartis, Advanced Accelerator Applications; and research funding from Novartis, Advanced Accelerator Applications.
M. H. Kulke reports fees for consulting or advisory roles with Novartis, Lexicon, Ipsen, Tarveda; and research funding from Lexicon and Ipsen; and providing expert testimony on behalf of Novartis.
R. P. Baum reports fees for consulting or advisory roles with ITG; and is a stockholder with Advanced Accelerator Applications and Endocyte.
M. Caplin reports honoraria from Advanced Accelerator Applications, Novartis, Ipsen, and Pfizer; consulting or advisory roles with Advanced Accelerator Applications, Novartis, Ipsen, and Pfizer; participation in speakers’ bureaus with Advanced Accelerator Applications, Novartis, Ipsen, and Pfizer; research funding from Advanced Accelerator Applications and Ipsen; and travel, accommodations, or expenses from Advanced Accelerator Applications and Ipsen.
P. Ruszniewski reports honoraria from Ipsen, Novartis, Advanced Accelerator Applications, ITN, and Keocyt; fees for consulting or advisory roles with Ipsen, Novartis, and Advanced Accelerator Applications; travel, accommodations, or expenses from Ipsen; and research funding from Novartis; and fees for providing expert testimony on behalf of Advanced Accelerator Applications.
E. Delpassand reports honoraria from Advanced Accelerator Applications and Endocyte; fees for consulting or advisory roles with Endocyte; participation in speakers’ bureaus with Advanced Accelerator Applications; patents, royalties or other intellectual property with Radiomedix, Inc.; travel, accommodations, or expenses from Endocyte, Advanced Accelerator Applications ITG/ITM GmbH; and is a stockholder with Radiomedix, Inc., Excel Diagnostics, Westchase Imaging, Endocyte, and GE.
C. Verslype reports fees for consulting or advisory roles with Ipsen, Novartis, Bayer, Sirtex; participation in speakers’ bureaus with Bayer; and research funding from Ipsen and Bayer;
A. Benson reports fees for consulting or advisory roles with Bristol-Myers Squibb, Guardant Health, Eli Lilly & Company, Exelixis, Purdue Pharma, inVentive Health Inc., Axio, Genentech, Bayer, Merck, Rafael Pharmaceuticals, Astellas, Terumo, Taiho, Thera Bionic, LSK, Axio, and Incyte Corporation; and research funding from Acerta, Celegene, Advanced Accelerator Applications, Novartis, Infinity Pharmaceuticals, Merck Sharp and Dohme, Taiho, Bristol-Myers Squibb, MedImmune/AstraZeneca, Xencor, PreECOG, Astellas, Amgen, and ECOG-ACRIN.
R. Srirajaskanthan reports honoraria from Novartis, Ipsen, and Mylan; fees for participation in speakers’ bureaus with Mylan; and travel, accommodations, or expenses from Ipsen.
M. Pavel reports honoraria from Novartis, Ipsen, Pfizer, and Lexicon; fees for consulting or advisory roles with Novartis, Ipsen, Pfizer, and Lexicon; and research funding from Novartis, Ipsen, Pfizer, and Lexicon.
J. Berlin reports fees for consulting or advisory roles with Rafael, Celgene, Taiho, FivePrime, EMD Serono, Arno, Gritstone, Erytech, Astra Zeneca, Eisai, LSK Pharmaceuticals; Bayer, Seattle Genetics; research funding from Novartis (Array), AbbVie, Immunomedics, Taiho, Genentech/Roche, Bayer, Lilly, Incyte, Pharmacyclics, FivePrime, Loxo, EMD Serono, Bayer, Boston Biomedical, PsiOxus, Macrogenics, Boston Biomedical, Symphogen; fees for participation in speakers’ bureaus with Nestle; travel, accommodations, or expenses from NCI; and DSMB from Astrazeneca.
E. Grande reports receiving honoraria for speaking and expert testimony for Pfizer, Ipsen, BMS, Eisai, Roche, MSD, Sanofi-Genzyme, Adacap, Novartis, EUSA Pharma, Pierre Fabre, and Lexicon; expert testimony for Celgene; research funding from Astra Zeneca, Pfizer, Ipsen, MTEM/Threshold, and Lexicon; medical educational grants from MSD and Roche; and has had leadership roles with ENETS, GETNE, and GETHI.
N. Reed reports fees for consulting or advisory roles with Novartis, Advanced Accelerator Applications, Ipsen, and Eisai; and participation in speakers’ bureaus with Novartis, Advanced Accelerator Applications, Ipsen, and Eisai.
S. Severi reports travel, accommodations, or expenses from Novartis.
M. Morse reports honoraria from Genetech, Bayer, Exelixis, Eisai, Lexicon, Novartis, Advanced Accelerator Applications, and Taiho; fees for participation in speakers’ bureaus with Genetech, Bayer, Exelixis, Eisai, Lexicon, Novartis, Advanced Accelerator Applications, and Taiho; and research funding from BMS, Medimmune/AstraZeneca, and Eisai; and has held a patent with Duke University for targeting HER3.
D. C. Metz reports honoraria from Advanced Accelerator Applications; fees for consulting or advisory roles with Takeda and Lexicon; research funding from Lexicon, Wren Laboratories, and Advanced Accelerator Applications; providing expert testimony on behalf of Mylan; research funding from Lexicon, Wren Laboratories, and Advanced Accelerator Applications; and has held a patent or has intellectual property interests with Capital Academics for a GI board review syllabus.
C. Ansquer reports honoraria from Ipsen, Novartis, and Advanced Accelerator Applications; fees for consulting or advisory roles with Ipsen, Novartis, and Advanced Accelerator Applications; and travel, accommodations, or expenses from Novartis, Advanced Accelerator Applications, and Eisai.
F. Courbon reports honoraria from Novartis, Bayer, GEHC, Ipsen, and Norgine; fees for consulting or advisory roles with Novartis, Bayer, Ipsen, Advanced Accelerator Applications, and Norgine; participation in speakers’ bureaus with Novartis, Bayer, GEHC, Ipsen, Norgine, and Advanced Accelerator Applications; expert testimony on behalf of Novartis, Bayer, GEHC, Ipsen, Norgine, and Advanced Accelerator Applications; research funding from GEHC, Curium, and Advanced Accelerator Applications; and travel, accommodations, or expenses with Novartis, Bayer, GEHC, Ipsen, Norgine, and Advanced Accelerator Applications.
E. Baudin reports honoraria from Advanced Accelerator Applications; fees for consulting or advisory roles with Advanced Accelerator Applications; and research funding from Advanced Accelerator Applications.
E. Mittra reports honoraria from Advanced Accelerator Applications/Novartis; fees for consulting or advisory roles with Novartis, Curium, and Ipsen; and research funding from Endocyte/Novartis.
E. Wolin reports fees for consulting or advisory roles with Advanced Accelerator Applications, Lexicon, and Ipsen.
R. Lebtahi reports honoraria from Advanced Accelerator Applications; fees for consulting or advisory roles with Advanced Accelerator Applications; and travel, accommodations, or expenses with Advanced Accelerator Applications.
C. M. Deroose reports fees for consulting or advisory roles with Ipsen, Novartis, Terumo, and Advanced Accelerator Applications; participation in speakers’ bureaus with Terumo and Advanced Accelerator Applications; and travel, accommodations, or expenses with General Electric and Terumo.
C. M. Grana reports fees for consulting or advisory roles with Norgine and Ipsen; and travel, accommodations, or expenses with Iason, Ipsen - IBA.
L. Bodei reports honoraria from Advanced Accelerator Applications and Ipsen; fees for consulting or advisory roles with Advanced Accelerator Applications and Ipsen; participation in speakers’ bureaus with Advanced Accelerator Applications and Ipsen; and travel, accommodations, or expenses from Advanced Accelerator Applications.
K. Öberg reports fees for consulting or advisory roles with Advanced Accelerator Applications.
B. Degirmenci Polack is an employee of, has had leadership roles with, and is a stockholder with Advanced Accelerator Applications.
B. He is an employee of Advanced Accelerator Applications, a Novartis company, and is a stockholder with Novartis.
M. F. Mariani reports honoraria from Norgine, Italy, and GE Healthcare, Italy.
G. Gericke reports travel, accommodations, or expenses from Novartis AG, CH; is a stockholder with Novartis AG, CH; has held patents, royalties, or other intellectual property from Novartis AG, CH.
P. Santoro is an employee of and a stockholder with Advanced Accelerator Applications.
J. L. Erion reports travel, accommodations, or expenses from Advanced Accelerator Applications; and is an employee of, has held leadership roles at, has held patents, royalties, or other intellectual property from, and is a stockholder with Advanced Accelerator Applications, Inc.
L. Ravasi is an employee of and a stockholder with Advanced Accelerator Applications.
E. Krenning reports travel, accommodations, or expenses from Advanced Accelerator Applications; and has held patents, royalties, or other intellectual property from, and is a stockholder with Advanced Accelerator Applications.
T. Hobday, E. Seregni, A. Al-Nahhas, F. Giammarile, J. Mora, G. Paganelli, D. Taïeb, and T. M. O’Dorisio have no disclosures to report.
Ethical approval
The trial was performed in accordance with the principles of the Declaration of Helsinki, International Conference on Harmonisation Good Clinical Practice guidelines, and all applicable regulations.
Informed consent
Written informed consent was obtained from all participants included in the study.
Data sharing statement
The datasets generated during and/or analysed during the current study are available from Beilei He (Beilei.He@adacap.com) on reasonable request.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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Impact of liver tumour burden, alkaline phosphatase elevation, and target lesion size on treatment outcomes with 177Lu-Dotatate: an analysis of the NETTER-1 study
verfasst von
Jonathan Strosberg Pamela L. Kunz Andrew Hendifar James Yao David Bushnell Matthew H. Kulke Richard P. Baum Martyn Caplin Philippe Ruszniewski Ebrahim Delpassand Timothy Hobday Chris Verslype Al Benson Rajaventhan Srirajaskanthan Marianne Pavel Jaume Mora Jordan Berlin Enrique Grande Nicholas Reed Ettore Seregni Giovanni Paganelli Stefano Severi Michael Morse David C. Metz Catherine Ansquer Frédéric Courbon Adil Al-Nahhas Eric Baudin Francesco Giammarile David Taïeb Erik Mittra Edward Wolin Thomas M. O’Dorisio Rachida Lebtahi Christophe M. Deroose Chiara M. Grana Lisa Bodei Kjell Öberg Berna Degirmenci Polack Beilei He Maurizio F. Mariani Germo Gericke Paola Santoro Jack L. Erion Laura Ravasi Eric Krenning on behalf of the NETTER-1 study group
