Regression of advanced neuroendocrine tumors among patients receiving placebo

in Endocrine-Related Cancer
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Vito Amoroso Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, Medical Oncology Unit, University of Brescia at ASST Spedali Civili, Brescia, Italy

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Giorgio Maria Agazzi Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, Radiology Unit, University of Brescia at ASST Spedali Civili, Brescia, Italy

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Elisa Roca Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, Medical Oncology Unit, University of Brescia at ASST Spedali Civili, Brescia, Italy

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Nicola Fazio Unit of Gastrointestinal Medical Oncology and Neuroendocrine Tumors, European Institute of Oncology, Milan, Italy

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Alessandra Mosca Medical Oncology Unit, Maggiore della Carità University Hospital, University of Eastern Piedmont, Novara, Italy

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Marco Ravanelli Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, Radiology Unit, University of Brescia at ASST Spedali Civili, Brescia, Italy

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Francesca Spada Unit of Gastrointestinal Medical Oncology and Neuroendocrine Tumors, European Institute of Oncology, Milan, Italy

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Roberto Maroldi Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, Radiology Unit, University of Brescia at ASST Spedali Civili, Brescia, Italy

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Alfredo Berruti Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, Medical Oncology Unit, University of Brescia at ASST Spedali Civili, Brescia, Italy

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Dear Editor,

The management of advanced well-differentiated or moderately differentiated neuroendocrine tumors (NETs) is challenging. These tumors, in fact, have a heterogeneous clinical behavior, many of them having an indolent disease course and some of them depicting an aggressive pattern. Few NETs may even undergo spontaneous remission, but this phenomenon has never been quantified and characterized. In this study, we performed a literature-based meta-analysis of all prospective randomized trials in which an active experimental treatment was compared with a placebo control arm and estimated the pooled rate of tumor shrinkage in placebo-treated patients. Our analysis clearly showed that a subset of NET patients attained a tumor shrinkage greater than 10% from baseline upon placebo, and this proportion was similar across the examined studies.

In the last few years, six randomized placebo-control­led trials have demonstrated that molecularly targeted therapies, such as somatostatin analogs (SSA) (Rinke et al. 2009, Caplin et al. 2014), everolimus (Pavel et al. 2011, Yao et al. 2011, 2016) and sunitinib (Raymond et al. 2011), are efficacious in prolonging progression-free survival among patients with gastroenteropancreatic (GEP) or pulmonary NETs. Two of these agents have also shown a marginal effect on overall survival (Raymond et al. 2011, Yao et al. 2011).

A true placebo was the selected control arm in five of these trials, whereas the control arm consisted of placebo plus an SSA in one trial enrolling patients with carcinoid syndrome-related NETs (Pavel et al. 2011).

The antitumor activity of novel molecularly targeted agents is commonly depicted by the waterfall plots, which report the percent change from baseline in size of target lesions on an individual basis. These graphics reveal that the patient subset with stable disease according to Response Evaluation Criteria in Solid Tumors (RECIST) is quite heterogeneous; a group of them showing a modest increase in tumor size of less than 20% and another group showing a tumor shrinkage of less than 30%.

Interestingly, a tumor shrinkage has been detected in a non-negligible proportion of cases in the placebo arm of randomized trials recruiting patients with a diagnosis of NET from different sites, suggesting that these tumors may undergo spontaneous regression.

This phenomenon was repeatedly described in several malignancies in the past and has been recently systematically reviewed by Ghatalia et al. (2016). These authors identified 61 randomized studies with placebo or no active treatment as the control arm and reported a pooled overall response rate (ORR) of 1.95% (95% CI: 1.53–2.48%) and a disease control rate (DCR) of 32.33% (95% CI: 27.21–37.9%) in the control arm. In the meta-analysis by Ghatalia and coworkers, which also included two pancreatic NET trials, only partial or complete response according to RECIST or WHO criteria was considered a measure of tumor shrinkage (Ghatalia et al. 2016).

To better estimate the occurrence of spontaneous tumor regression in NETs, we performed a literature-based meta-analysis of the five prospective randomized trials with a true placebo control arm (Table 1). Eligible patients had pathologically confirmed well-differentiated NET (grade 1 or grade 2 according to the 2010 WHO classification), with unresectable locally advanced or metastatic disease. The primary tumor origin was the pancreas in two of the examined studies (Raymond et al. 2011, Yao et al. 2011), the pancreas, midgut or hindgut in one study (Caplin et al. 2014), the lung or gastrointestinal tract in one study (Yao et al. 2016) and the midgut in one study (Rinke et al. 2009) (Table 1). Data on ORR according to RECIST or WHO criteria were obtained from the text or tables, whereas the rates of tumor shrinkage were extracted from the published waterfall plots with Engauge Digitizer, v.9.5 software. The change in the size of target lesions was reported in waterfall plots for each patient before crossover from placebo to the experimental therapy in trials where crossover was permitted. We used a random-effects model with a generic inverse-variance approach to estimate the study endpoints.

Table 1

Characteristics of the eligible trials.

Authors (year) Primary tumor origin No. of patients enrolled Treatment Trial required disease progression No. of evaluable patients in placebo arm ORR in placebo arm (%) Response criteria used
Rinke et al. (2009) Midgut 85 Octreotide vs placebo Not specified 43 2.30 WHO
Caplin et al. (2014) Pancreas, midgut and hindgut 204 Lanreotide vs placebo Not specified 103 0 RECIST 1.0
Yao et al. (2011) Pancreas 410 Everolimus vs placebo Yes 203 2 RECIST 1.0
Raymond et al. (2011) Pancreas 171 Sunitinib vs placebo Yes 85 0 RECIST 1.0
Yao et al. (2016) Lung and GI 302 Everolimus vs placebo Yes 97 1 RECIST 1.0

GI, gastrointestinal; ORR, overall response rate; RECIST, Response Evaluation Criteria in Solid Tumors; WHO, World Health Organization.

The pooled estimate of ORR among 531 NET patients in the placebo arm of five randomized trials was 1.52% (95% CI 0.73–3.16%) and was consistent across all studies (I2 0%, P value = 0.78) (Fig. 1A). DCR was very heterogeneous across the examined studies with a pooled DCR of 52.74% (95% CI 44.12–61.20, I2 72.3%, P value = 0.006) (Fig. 1B).

Figure 1
Figure 1

Forest plot of overall response rate (A), disease control rate (B), the rate of tumor shrinkage of target lesions (C) and the rate of tumor shrinkage of target lesions between 10% and 30% from baseline (D) in the placebo arm of eligible studies. Horizontal lines represent 95% confidence interval. The area of each square represents the weight of the trial in the meta-analysis. §Response evaluation according to WHO criteria; *data extracted from waterfall plots.

Citation: Endocrine-Related Cancer 24, 2; 10.1530/ERC-16-0475

A waterfall plot was reported in four trials, comprising a total of 460 placebo-treated patients (Raymond et al. 2011, Yao et al. 2011, 2016, Caplin et al. 2014). The pooled rate of tumor shrinkage for any reduction in size of target lesions from baseline was 25.24% (95% CI 20.84–30.22%, I2 25.6%, P value = 0.26) (Fig. 1C). The pooled rate of tumor shrinkage considering a decrease in the size of target lesions in the range between 10% and 30% was 5.83% (95% CI 3.47–9.64%, I2 39.9%, P value = 0.17) (Fig. 1D).

This meta-analysis showed that approximately one-quarter of NET patients enrolled in phase III trials had a tumor regression of variable extent upon placebo. This finding is relevant as it derives from prospective randomized studies where disease progression within the previous 6–12 months was a prerequisite for patient inclusion and tumor size changes were prospectively collected according to study protocol. However, although the tumor response assessment was centrally performed in each of the four examined trials, the baseline tumor progression status was not centrally assessed, except for the CLARINET trial (Caplin et al. 2014), which was also the only one with a pre-defined time frame for the baseline tumor status assessment.

Although four prospective randomized trials reported waterfall plots to describe the percent change from baseline in size of target lesions, the trial investigators never discussed the phenomenon of tumor shrinkage in the placebo arm.

The clinical behavior of NETs is rather heterogeneous, and this may be the reason why the DCR showed a non-homogeneous distribution across the examined studies. Interestingly, the homogeneous distribution of tumor shrinkage across studies suggests that a reproducible proportion of patients with metastatic well-differentiated or moderately differentiated NET are destined to obtain a spontaneous tumor regression irrespective of NET origin and biology.

Spontaneous regressions were described in many histologic types, including NETs (Ghatalia et al. 2016), and host immune response against neoantigens expressed by the tumor is the most plausible explanation. Well-differentiated or moderately differentiated NETs are considered low immunogenic tumors due to their limited mutational load and consequently limited neoantigen expression. However, the available data show that the immune system interacts with the neuroendocrine system and may influence the prognosis of NET patients. CD3+ cell infiltration in intermediate-grade NETs was in fact associated with a better recurrence-free survival (Katz et al. 2010) whereas circulating T regulatory cells, which are known to counteract the antitumor immune response, were found in elevated numbers among midgut carcinoid patients (Vikman et al. 2009).

The expression of the programmed death-ligand 1 (PD-L1) with a cut-off of 1% by immunohistochemistry was reported to be associated with worse prognosis in a small series of patients with metastatic GEP-NETs (Kim et al. 2016). However, PD-L1 expression, a potential predictive biomarker of efficacy of immune-checkpoint inhibitors, was restricted to grade 3 tumors.

Admittedly, NET metastases have often poorly demarcated margins due to coalescence phenomena that may reflect tumor necrosis, especially in liver parenchyma; this could limit the response assessment of target lesions with either RECIST or WHO criteria. As a matter of fact, a modest reduction of tumor size might be due to the absorption of necrotic material and might not indicate a true reduction of viable tumor mass. Nevertheless, in the present meta-analysis of placebo arms of randomized trials, the pooled ORR according to RECIST or WHO criteria was approximately 1.5% and the reduction of target lesions between 10% and 30% from baseline, the so-called minor response, was homogeneously reported in the non-negligible proportion of nearly 6%.

In conclusion, the biological and clinical characteristics of patients with NET undergoing spontaneous regression need to be defined. These patients might benefit from active surveillance, thus avoiding the toxic effects of antitumor therapies. They could also be potential candidates for the new immunotherapies, and this is an interesting hypothesis for future research.

Declaration of interest

The authors declare that there is no conflict of interest that could be perceived as prejudicing the impartiality of this article.

Funding

This research did not receive any specific grant from any funding agency in the public, commercial or not-for-profit sector.

References

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  • Rinke A, Muller HH, Schade-Brittinger C, Klose KJ, Barth P, Wied M, Mayer C, Aminossadati B, Pape UF & Blaker M et al. 2009 Placebo-controlled, double-blind, prospective, randomized study on the effect of octreotide LAR in the control of tumor growth in patients with metastatic neuroendocrine midgut tumors: a report from the PROMID Study Group. Journal of Clinical Oncology 27 46564663. (doi:10.1200/JCO.2009.22.8510)

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  • Vikman S, Sommaggio R, De La Torre M, Oberg K, Essand M, Giandomenico V, Loskog A & Totterman TH 2009 Midgut carcinoid patients display increased numbers of regulatory T cells in peripheral blood with infiltration into tumor tissue. Acta Oncologica 48 391400. (doi:10.1080/02841860802438495)

    • PubMed
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  • Yao JC, Shah MH, Ito T, Bohas CL, Wolin EM, Van Cutsem E, Hobday TJ, Okusaka T, Capdevila J & de Vries EGE et al. 2011 Everolimus for advanced pancreatic neuroendocrine tumors. New England Journal of Medicine 364 514523. (doi:10.1056/NEJMoa1009290)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Yao JC, Fazio N, Singh S, Buzzoni R, Carnaghi C, Wolin E, Tomasek J, Raderer M, Lahner H & Voi M et al. 2016 Everolimus for the treatment of advanced, non-functional neuroendocrine tumours of the lung or gastrointestinal tract (RADIANT-4): a randomised, placebo-controlled, phase 3 study. Lancet 387 968977. (doi:10.1016/S0140-6736(15)00817-X)

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  • Forest plot of overall response rate (A), disease control rate (B), the rate of tumor shrinkage of target lesions (C) and the rate of tumor shrinkage of target lesions between 10% and 30% from baseline (D) in the placebo arm of eligible studies. Horizontal lines represent 95% confidence interval. The area of each square represents the weight of the trial in the meta-analysis. §Response evaluation according to WHO criteria; *data extracted from waterfall plots.

  • Caplin ME, Pavel M, Ćwikła JB, Phan AT, Raderer M, Sedláčková E, Cadiot G, Wolin EM, Capdevila J & Wall L et al. 2014 Lanreotide in metastatic enteropancreatic neuroendocrine tumors. New England Journal of Medicine 371 224233. (doi:10.1056/NEJMoa1316158)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Ghatalia P, Morgan CJ & Sonpavde G 2016 Meta-analysis of regression of advanced solid tumors in patients receiving placebo or no anti-cancer therapy in prospective trials. Critical Reviews in Oncology/Hematology 98 122136. (doi:10.1016/j.critrevonc.2015.10.018)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Katz SC, Donkor C, Glasgow K, Pillarisetty VG, Gonen M, Espat NJ, Klimstra DS, D’Angelica MI, Allen PJ & Jarnagin W et al. 2010 T cell infiltrate and outcome following resection of intermediate-grade primary neuroendocrine tumours and liver metastases. HPB 12 674683. (doi:10.1111/j.1477-2574.2010.00231.x)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Kim ST, Ha SY, Lee S, Ahn S, Lee J, Park SH, Park JO, Lim HY, Kang WK & Kim KM et al. 2016 The impact of PD-L1 expression in patients with metastatic GEP-NETs. Journal of Cancer 7 484489. (doi:10.7150/jca.13711)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Pavel ME, Hainsworth JD, Baudin E, Peeters M, Hörsch D, Winkler RE, Klimovsky J, Lebwohl D, Jehl V & Wolin EM et al. 2011 Everolimus plus octreotide long-acting repeatable for the treatment of advanced neuroendocrine tumours associated with carcinoid syndrome (RADIANT-2): a randomised, placebo-controlled, phase 3 study. Lancet 378 20052012. (doi:10.1016/S0140-6736(11)61742-X)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Raymond E, Dahan L, Raoul J-L, Bang Y-J, Borbath I, Lombard-Bohas C, Valle J, Metrakos P, Smith D & Vinik A et al. 2011 Sunitinib malate for the treatment of pancreatic neuroendocrine tumors. New England Journal of Medicine 364 501513. (doi:10.1056/NEJMoa1003825)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Rinke A, Muller HH, Schade-Brittinger C, Klose KJ, Barth P, Wied M, Mayer C, Aminossadati B, Pape UF & Blaker M et al. 2009 Placebo-controlled, double-blind, prospective, randomized study on the effect of octreotide LAR in the control of tumor growth in patients with metastatic neuroendocrine midgut tumors: a report from the PROMID Study Group. Journal of Clinical Oncology 27 46564663. (doi:10.1200/JCO.2009.22.8510)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Vikman S, Sommaggio R, De La Torre M, Oberg K, Essand M, Giandomenico V, Loskog A & Totterman TH 2009 Midgut carcinoid patients display increased numbers of regulatory T cells in peripheral blood with infiltration into tumor tissue. Acta Oncologica 48 391400. (doi:10.1080/02841860802438495)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Yao JC, Shah MH, Ito T, Bohas CL, Wolin EM, Van Cutsem E, Hobday TJ, Okusaka T, Capdevila J & de Vries EGE et al. 2011 Everolimus for advanced pancreatic neuroendocrine tumors. New England Journal of Medicine 364 514523. (doi:10.1056/NEJMoa1009290)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • Yao JC, Fazio N, Singh S, Buzzoni R, Carnaghi C, Wolin E, Tomasek J, Raderer M, Lahner H & Voi M et al. 2016 Everolimus for the treatment of advanced, non-functional neuroendocrine tumours of the lung or gastrointestinal tract (RADIANT-4): a randomised, placebo-controlled, phase 3 study. Lancet 387 968977. (doi:10.1016/S0140-6736(15)00817-X)

    • PubMed
    • Search Google Scholar
    • Export Citation