Skip to main content
Download PDF

Evaluating different adoption scenarios for TIL-therapy and the influence on its (early) cost-effectiveness

BMC Cancer volume 20, Article number: 712 (2020) Cite this article

Abstract

Background

Treatment with tumor-Infiltrating Lymphocytes (TIL) is an innovative therapy for advanced melanoma with promising clinical phase I/II study results and likely beneficial cost-effectiveness. As a randomized controlled trial on the effectiveness of TIL therapy in advanced melanoma compared to ipilimumab is still ongoing, adoption of TIL therapy by the field is confronted with uncertainty. To deal with this, scenario drafting can be used to identify potential barriers and enables the subsequent anticipation on these barriers. This study aims to inform adoption decisions of TIL by evaluating various scenarios and evaluate their effect on the cost-effectiveness.

Methods

First, 14 adoption scenarios for TIL-therapy were drafted using a Delphi approach with a group of involved experts. Second, the likelihood of the scenarios taking place within 5 years was surveyed among international experts using a web-based questionnaire. Third, based on the questionnaire results and recent literature, scenarios were labeled as being either “likely” or “-unlikely”. Finally, the cost-effectiveness of TIL treatment involving the “likely” scored scenarios was calculated.

Results

Twenty-nine experts from 12 countries completed the questionnaire. The scenarios showed an average likelihood ranging from 29 to 58%, indicating that future developments of TIL-therapy were surrounded with quite some uncertainty. Eight of the 14 scenarios were labeled as “likely”. The net monetary benefit per patient is presented as a measure of cost-effectiveness, where a positive value means that a scenario is cost-effective. For six of these scenarios the cost-effectiveness was calculated: “Commercialization of TIL production” (the price was assumed to be 3 times the manufacturing costs in the academic setting) (−€51,550), “Pharmaceutical companies lowering the prices of ipilimumab” (€11,420), “Using TIL-therapy combined with ipilimumab” (−€10,840), “Automatic TIL production” (€22,670), “TIL more effective” (€23,270), “Less Interleukin-2” (€20,370).

Conclusions

Incorporating possible future developments, TIL-therapy was calculated to be cost-effective compared to ipilimumab in the majority of “likely” scenarios. These scenarios could function as facilitators for adoption. Contrary, TIL therapy was expected to not be cost-effective when sold at commercial prices, or when combined with ipilimumab. These scenarios should be considered in the adoption decision as these may act as crucial barriers.

Peer Review reports

Background

Over the past decade, the treatment landscape for advanced melanoma has greatly developed due to the introduction of checkpoint inhibitors and targeted therapies. This resulted in a rise of the 5-year survival rate from 10% [1] up to 52% [2] when using the most recent and promising treatment combination of nivolumab with ipilimumab.

Despite the improved clinical outcomes, a large group of patients still fail to respond or progress after initial response upon the available treatments. Therefore, the identification of additional treatment options for second-line treatment is of interest. Adoptive cell therapy with tumor-infiltrating lymphocytes (TIL) could be one of these additional treatment options. In TIL therapy, T cells residing in patient-specific tumor material are isolated and expanded ex vivo in a dedicated production facility and given back to the patient as a single intravenous infusion after a lymphodepleting non-myeloablative preparative regimen and subsequent treatment with interleukin-2 (IL-2). TIL treatment was introduced in small clinical trials in the ‘80s [3] and several research groups independently showed consistent objective response rates of 40–70% [4,5,6] and complete response rates of 10–25% [7], in subsequent small clinical phase I/II trials. However, this therapy has not yet been widely adopted. This can mainly be explained by the lack of phase III evidence of the clinical effectiveness of TIL therapy and the complex nature of this innovative cellular product (Advanced Therapy Medicinal Product (ATMP) of which clinical implementation is known to be challenging [8, 9].

Since October 2014, the Netherlands Cancer Institute (NKI) and the Herlev hospital in Denmark have been conducting the first randomized controlled trial (RCT) comparing TIL therapy to ipilimumab as a second-line treatment for advanced melanoma to evaluate its clinical and cost-effectiveness (NCT02278887). For the Netherlands, this trial is included in a Coverage with Evidence Development (CED) program for highly promising treatments [10]. This RCT aims to provide the evidence needed to widely adopt TIL therapy as a standard second-line treatment modality in advanced melanoma. As this trial is still ongoing, the decision for other centers and/or countries to adopt TIL therapy is surrounded by great uncertainty or is delayed. Especially delay could affect timely patient access when TIL therapy is proven to be effective, as the clinical implementation of TIL therapy is challenging and time-consuming [11].

In the framework of the CED program, a broad Technology Assessment (TA) is conducted to facilitate this clinical adoption of TIL therapy. Within this TA, an early cost-effectiveness analysis was conducted, showing that TIL therapy is cost-effective over ipilimumab as second-line treatment of advanced melanoma based on the currently available evidence [12]. Furthermore, a qualitative study was conducted evaluating barriers and facilitators in the clinical implementation of TIL therapy in light of an ATMP [11]. This study showed that its adoption can be influenced by many factors, such as the attitude of clinicians and patients due to the expected therapeutic risks and the rapidly evolving treatment field for advanced melanoma.

The current RCT conducted at the NKI and the final project in this TA aim to reduce the existing uncertainty surrounding the decision to clinically adopt TIL therapy as a second-line treatment for advanced melanoma. The objective of this paper is threefold. First, to evaluate various adoption scenarios related to TIL therapy and the treatment landscape of advanced melanoma (section 2.1). Second, evaluating the likelihood of these scenarios to occur within 5 years to identify potential barriers and facilitators for the adoption of TIL therapy (section 2.2), and third, to evaluate the cost-effectiveness of the likely adoption scenarios (section 2.3).

Methods

In this study, we will often refer to “adoption scenarios”, which are one-sentence descriptions of potential developments that may affect the adoption of TIL therapy.

Drafting adoption scenarios (Delphi methodology)

A Delphi method was used to systematically generate consensus on themes related to the adoption of TIL therapy to subsequently incorporate these themes in the adoption scenarios. Figure 1 shows the six steps used to draft the scenarios [13, 14].

Fig. 1
figure1

Schematic visualization of method and steps in drafting scenarios. Caption: This approach was based on the methods described by Shell international BV (2008) and Enserink and Hermans (2010) [13, 14]

Full size image

First, relevant themes that could influence the adoption of TIL therapy were identified through: brainstorming with internal experts, reviewing the literature on TIL therapy and research developments in treating advanced melanoma, and scanning ongoing clinical trials investigating TIL therapy. Second, the identified themes were discussed during semi-structured interviews with stakeholders in the TIL study process at the NKI to identify their expectations on these themes for the coming years [11]. They were allowed to add new themes and were specifically asked to describe likely “what if” scenarios for the coming five and 10 years [13]. The details on these semi-structured interviews are described in a previous publication [11]. In the third step, the results of the interviews were discussed with the direct research group (ML, VR, WvH), where the final themes were chosen to incorporate in the first (pilot) set of adoption scenarios. In step four, this first set of adoption scenarios (15 scenarios and two questions) was piloted in an expert group consisting of lab members, health insurers, clinicians, researchers, a representative of a patient association, a board member of the Dutch Immunotherapy Working Group for Oncology (WIN-O), and policy advisers. In the fifth step, the set was adapted according to their given feedback which resulted in the final set of scenarios. This set consisted of 15 adoption scenarios and 5 questions on, for example, minimal effectiveness, patients’ and clinicians’ attitudes towards TIL therapy (Table 1).

Table 1 Themes identified to draft scenarios and full description of scenarios
Full size table

Estimating the likelihood of scenarios

The adoption scenarios and questions were included in a web-based questionnaire (Supplement 1) and were shared among a larger group of experts to evaluate the likelihood of the scenarios happening in the coming 5 years. To reach international clinical experts, flyers regarding the questionnaire were distributed at the congress of the European Cancer Congress Organization (ECCO) in Amsterdam (January 2017) after melanoma-related sessions. Additionally, the questionnaire was emailed to the scientific and clinical network of our internal experts, by which we invited 119 international experts; all were reminded after 1 month.

The questionnaire consisted of three parts. Part one introduced the TIL therapy and the RCT that is currently ongoing. Part two evaluated the characteristics of the respondent (years of experience with TIL therapy and years of experience with melanoma care, their position, and their self-reported level of expertise with TIL therapy) [15]. The third part contained the 15 adoption scenarios and the five questions, as listed in Table 1. In this part, the respondents indicated the likelihood of the scenarios occurring in the coming 5 years from 0 to 100%. 0% indicates that the scenario will not occur within 5 years, and 100% indicates that the scenario will occur within 5 years. This method is similar to the method used in a publication focusing on the adoption of Next Generation Sequencing [16]. Table 1 lists the names of the scenarios which are used in the following sections to refer to the specific scenarios.

Calculating the cost-effectiveness

Selection of scenarios

As the likelihood of the 15 adoption scenarios (Results section 3.1) showed a lot of uncertainty, we followed several steps to label the scenarios as “likely” or “unlikely”. The process to select the “likely” scenarios to incorporate in the cost-effectiveness analysis is visualized in Supplement 2 and described in the section below.

To start, the mean likelihood of each scenario was evaluated. A scenario with a mean likelihood of ≥55% was labeled as “likely”. The scenarios that scored a likelihood < 55% were stratified in two ways; first, on the answers given to the level of expert by evaluating the results of the respondents that described themselves as “familiar” and “expert” (n = 23), and second for the level of experience evaluating the results from the respondents with ≥1 year experience with TIL therapy (n = 10). For the scenarios that still showed a score < 55%, a recent literature review was used [17]. When a topic related to the scenario was described in the review, the scenario was labeled as “likely”. Finally, if literature was also indecisive, the unlabeled scenarios were discussed and judged among experts (two clinicians, one technician, and a policy adviser) involved in the TIL study at the NKI, in which also the results on the five questions were discussed. Besides, the expert panel was asked to verify the likelihood of the scenarios labeled “likely” based on the cutoff value.

As it is plausible that several scenarios will take place at the same time, the same group of experts defined possible combinations of the “likely” scenarios. These were additionally incorporated in the cost-effectiveness model.

The base case model

A base case model is the original model used to evaluate the cost-effectiveness of an alternative treatment compared to the current standard of treatment using the best available evidence at that moment. In the current study, this is the cost-effectiveness model previously described by Retèl et al. (2018) [12]. This analysis was performed from a Dutch perspective evaluating TIL therapy in second-line treatment compared to its current standard of practice in second-line treatment, ipilimumab. A willingness to pay threshold of €80,000 per QALY gained was used. The model contained three health states: stable disease, progressive disease, and death (absorbing state). The time horizon was 10 years, reflecting an average lifetime time horizon of this patient group, with a cycle time of 1 year. Details on this model can be found in the original research paper [12] and Supplement 3. For clarity, we assumed that there would be no changes in costs and effects of TIL therapy and ipilimumab over the coming 5 years.

Incorporating the selected scenarios

The scenarios labeled as “likely” were incorporated in the cost-effectiveness model. With the experts (two clinicians, one technician, and a policy adviser) involved in the TIL study at the NKI, logical consequences were defined per scenario and were then translated to input parameters for the model. For some scenarios, an additional literature search was performed to feed the cost-effectiveness model. Although assumptions could be made for the efficacy of the scenario to use TIL therapy in the third line based on literature [5], no data or literature was found describing Progression-Free Survival and Overall Survival data of chemotherapy after progression on PD-1 inhibitors and CTL-4 antibodies, to serve as the comparator [18]. Therefore, this scenario wasn’t incorporated in the cost-effectiveness model. The scenario-specific input parameters, assumptions, and sources per scenario are listed in Table 2.

Table 2 Adapted input parameters for cost-effectiveness model per scenario
Full size table

Data analysis and visualization

The results of the scenarios incorporated in the cost-effectiveness model are expressed by the Incremental Cost-Effectiveness Ratio (ICER), Net Monetary Benefit (NMB), and the probability of TIL therapy being cost-effective. The ICER is a deterministic statistic calculated by dividing the difference in costs by the difference in Quality Adjusted Life Years (QALYs) for TIL therapy and Ipilimumab. An ICER, negative (less costly, more effective) and/or below a certain threshold (Willingness To Pay (WTP)), in this study €80,000, would mean that TIL therapy is favored over Ipilimumab. The WTP of €80,000 is the informal ceiling ratio in the Netherlands for diseases with the highest symptom burden [21]. As internationally different WTP thresholds are used, a second WTP threshold was used in evaluating the NMB: £30,000 (€34,821; April 2019), which is the WTP threshold used in the United Kingdom [22]. A two-way sensitivity analysis evaluates the effect of various levels of two parameters on the ICER. We varied the 1-year progression-free survival rate and the costs of TIL in a two-way sensitivity analysis.

Both NMB and probability of being cost-effective are probabilistic statistics in which uncertainty surrounding the input parameters is taken into account by randomly drawing parameter values from the parameter distributions, using Monte Carlo simulations with 1000 iterations. The NMB was calculated using the WTP ratios and the following formula per iteration: (incremental QALYs x WTP) - incremental costs. A mean NMB ≥ €0 indicates that TIL therapy is cost-effective compared to ipilimumab, given the chosen threshold.

To calculate the probability of TIL therapy being cost-effective, the NMB was calculated over different thresholds, ranging from €0 to €80,000 in steps of €1000. An NMB value of ≥€0 is cost-effective, which is indicated with 1, an NMB value <€0 is not cost-effective, which is indicated with 0. This was done for all the iterations in the Monte Carlo simulation per threshold. A mean of this binary value was calculated per threshold which shows the probability of TIL being cost-effective compared to ipilimumab at that threshold. Finally, the mean of these average probability scores gives the probability of TIL therapy being cost-effective in a WTP range of €0 - €80,000.

Results

Characteristics of the respondents

Twenty-nine respondents, mainly clinicians (76%; 24% other), completed the web-based questionnaire between January and October 2017. The majority of respondents originated from the Netherlands (n = 14), fifteen experts originated from other countries, namely Belgium, Denmark, Germany, Israel, Italy, Poland, Portugal, Spain, UK, the US, and Australia. Most respondents described themselves as familiar (52%), expert (28%), or a former expert (10%) with TIL therapy and had on average 2.7 years of experience with TIL treatment. Table 3 shows the characteristics of the respondents.

Table 3 Characteristics of the experts that participated in the scenario drafting questionnaire (n = 29)
Full size table

Likelihood of the scenarios

The mean and median likelihood of each of the scenarios is presented in Table 4 and Fig. 2. Large variability was seen in the expected likelihood of the scenarios suggesting that respondents are uncertain about the future developments surrounding TIL therapy (Fig. 2). On average, most of the scenarios scored a likelihood of around 50% (46–54%). Two scenarios scored a likelihood of ≥55%: “Combination therapy” (57%) and “Automatic TIL production” (58%). Four scenarios were thought to be less likely: “Biomarker” (37%), “TCR therapy” (32%), “Low-cost competition” (30%), and “Less IL-2 treatment” (36%). Finally, the likelihood of the “Base case” in the coming 5 years was estimated at 54%. The results of the questions related to the adoption of TIL are listed in Supplement 6.

Table 4 The mean and median likelihood of each scenario
Full size table
Fig. 2
figure2

Likelihood of scenarios. Caption: This violin plot shows all observations from the survey in points. In addition, it shows the distribution of the likelihood per scenario by making the graph wider or smaller. When a number of observations are seen at the same likelihood percentage, the plot becomes wider. a shows the estimated likelihood of the future scenarios by all respondents (n = 29), b shows the estimated likelihood by only the respondents that evaluated themselves as an expert or familiar (n = 23), c shows the estimated likelihood by only the respondents with ≥1 year of experience with TIL therapy (n = 10). The colors green (“likely”) and red (“unlikely”) correspond to the final label of the scenarios that followed from the steps shown in Fig. 2 and according to the reasons stated in Supplement 5

Full size image

Selected scenarios for incorporation in cost-effectiveness analysis

Using the cut-off value of ≥55%, “Combination therapy” and “Automatic TIL production” were labeled as “likely”. Using the stratified results based on the level of expertise, “Base case” and “3rd line treatment” were also labeled as “likely” (Table 4). The expert panel verified the likelihood of those four scenarios. Based on the literature review (step four in Supplement 2), “TIL more effective” and “Less IL-2 treatment” were labeled as “likely” as several studies described potential opportunities to increase the effectiveness of TIL therapy and studies are investigating an IL-2 decreasing dose scheme to lower the intensity of the treatment [17]. The other scenarios or topics were not described in the recent literature review. The experts evaluated (step five) “Clinicians unconvinced”, “Low-cost competition”, “TIL production outsourced” as “likely” and the scenarios “Competition”, “Biomarker”, “TCR therapy”, “Patients unconvinced” and “Influence by companies” were labeled as “unlikely”. No scenario was solely labeled as “unlikely” based on the score from the survey. The arguments for labeling these scenarios as “likely” or “unlikely” are described in Supplement 5. As the base case scenario already evaluates the effect of using TIL therapy as a second-line therapy, the scenario: “2nd line treatment” was not incorporated in the cost-effectiveness analysis because it would show the same results. Eventually, scenarios resulting in no implementation of TIL therapy e.g. “Patients unconvinced” and “Clinicians unconvinced”, regardless of their likelihood, were not incorporated in the cost-effectiveness model as this results in an analysis comparing ipilimumab to ipilimumab.

Additionally, the potential combinations of scenarios were drafted and incorporated in the cost-effectiveness model. Three combinations were made related to research developments including “TIL more effective”, “Automatic TIL production” and “TIL production outsourced”. Besides, three other combinations were defined incorporating the scenario “combination therapy”, and the scenarios: “Automatic TIL production”, “less IL-2” and “Low-priced competition”,

Cost-effectiveness analysis

Figures 3 and 4 show the NMB and probability of TIL therapy being cost-effective. Four out of six adoption scenarios showed a positive NMB: “TIL more effective”, “Low-cost competition”, “Less IL-2 treatment” and “Automatic TIL production”, and a high probability of being cost-effective. Even when the total costs of the comparator (ipilimumab) are reduced with 20%, TIL therapy had a 55% chance to be cost-effective (“Low-priced competition”). In contrast, “Combination therapy” showed a negative NMB with an ICER of €151,520 per QALY based on the first clinical results [19], and when the production of TILs is outsourced, TIL therapy had a 0% likelihood to become cost-effective (“TIL production outsourced”). All the results from the cost-effectiveness analysis are presented per scenario in Supplement 4. Figure 5 shows the results of the two-way sensitivity analysis and incorporated scenarios. This graph shows for instance that the effectiveness should improve substantially when TIL production is being outsourced or TIL therapy is combined with another therapy.

Fig. 3
figure3

The probability of a scenario being cost-effective. Caption: Shows the probability of the different scenarios and the combinations of scenarios to become cost-effective when using a WTP threshold range of €0 to €80,000

Full size image
Fig. 4
figure4

The incremental Net Monetary Benefit (iNMB). Caption: Shows the incremental Net Monetary Benefit (iNMB) for both the Dutch informal WTP threshold of €80,000 and for the WTP threshold that is mainly used in the United Kingdom of £30,000 (€34,821). A mean NMB ≥ €0 indicates that TIL therapy is cost-effective compared to ipilimumab given the chosen threshold

Full size image
Fig. 5
figure5

Two-way sensitivity analysis with visualization of the incorporated scenarios. Caption: This cross table shows the levels of cost-effectiveness at different willingness to pay levels of TIL therapy compared to ipilimumab when the Progression Free Survival (PFS) rate after 1 year changes and the costs of TIL vary. The dotted line represents the base case analysis. The incorporated scenarios are represented by letters. a = “TIL more effective”, b = “Combination therapy”, c = “Less IL2 treatment”, d= “TIL production outsourced”, e = “Automatic TIL production”. The scenario “low-cost competition” was not possible to present in this graph because it affects the costs of ipilimumab instead of the costs of TIL therapy. The colors do not always correspond with the results in Figs. 3 and 4 because we evaluated the rounded numbers of costs and PFS rate

Full size image

The combination of “TIL more effective” and “Automatic TIL production” showed a positive NMB as it combined the two most favorable scenarios for TIL therapy (more effective and less expensive). The other two combinations related to research developments showed that a slight improvement for TIL therapy in response rates does not outweigh the extra costs when TIL production is commercialized (0% probability of TIL being cost-effective), which holds when TIL therapy becomes more automatic (11% probability of TIL being cost-effective). The combinations that focused on the combination of TIL therapy with a different therapy, showed a negative NMB in all combinations of scenarios. A potential reduction of the costs of TIL therapy seems however to have the highest impact on the probability of being cost-effective (from 12% in the base case to 28% in the combination of “combination therapy” and “TIL production outsourced”).

Discussion

Although a number of aspects concerning TIL therapy are uncertain, our results show that TIL therapy remains a promising addition to the treatment landscape of advanced melanoma as most of the “likely” scenarios resulted in TIL therapy being cost-effective. One should, however, keep in mind that these results were based on the safety and efficacy results that are currently available (phase I/II trials) [4,5,6,7]. The ongoing RCT conducted at NKI and Herlev Hospital (NCT02278887) is expected to bring the evidence needed to decide on its therapeutic position and adopt TIL therapy as a standard treatment option in advanced melanoma.

Implications for clinical practice

The results of the cost-effectiveness analysis showed in most of the preferred scenarios a high probability for TIL therapy to become cost-effective (55–99%) and they identify aspects that could facilitate the wide adoption of TIL therapy. For example, as the scenario “Automatic TIL production” showed the highest probability for TIL therapy to become cost-effective (99%), Research and Development should focus on optimizing the production process to facilitate potential upscaling and adoption of TIL therapy. In contrast, the scenarios showing a reduced chance for TIL therapy to become cost-effective, identify crucial contextual factors that should be considered when deciding to adopt TIL therapy. For example, outsourcing of the production of TILs may at first be expected to overcome known ATMP barriers as (i) inadequate financial support for the required investments, and manufacturing costs; (ii) a lack of regulatory knowledge, and (iii) challenging to upscale the production and (iiii) to comply with Good Manufacturing Practices [9, 23,24,25,26]. However, as a result of commercial pricing levels, assuming that the costs will be at least 3 times as high, this scenario resulted in a 0% probability for TIL therapy to become cost-effective. Following our analysis, assuming a WTP threshold of €80,000, the production costs of TIL may only increase 1.5 times (~€53,000) to be cost-effective compared to ipilimumab. Within this scenario, it should be kept in mind that the estimation of the commercial costs is uncertain. Especially because our assumption was based on the manufacturing costs in an academic setting and literature showed that commercial prices are mostly linked to what society would pay instead of its expected added value or of the actual manufacturing costs [27]. However, although the estimation is uncertain, the conclusion related to commercialization remains the same: Outsourcing could facilitate the implementation of TIL therapy, however, pricing agreements should be made with the commercial party to ensure cost levels that remain within the willingness to pay range of cost-effectiveness. In the US setting, TIL can be expected to be licensed and filed for FDA approval within the coming years, these insights are especially of interest to guide reimbursement decisions by insurance companies. An interesting scenario is the “Combination therapy” which showed a 12% probability of being cost-effective (ICER of €151,520), revealing that in this case either the treatment costs should decrease or the efficacy has to improve considerably. By automatizing the production of TILs, the probability of being cost-effective increased only to 28%. Therefore, when a combination of TIL therapy and for instance a certain checkpoint inhibitor seems promising, agreements on pricing with pharmaceutical companies for the combination therapy are necessary to remain within cost-effectiveness ranges.

The results on the questions related to future developments suggest that the adoption of TIL therapy may be hampered by the attitude of patients and clinicians. First of all, clinicians nowadays seem unconvinced to apply TIL therapy because of its perceived complexity and treatment intensity unless the therapy shows a 1-year survival rate of at least 61.3% (CI:55.2–67.5). Secondly, only a small proportion of the eligible patients seemed to be aware of TIL therapy as a treatment option. As the attitude of stakeholders and especially clinicians, is a known barrier for implementation of ATMPs, a pro-active information strategy in anticipation of this attitude is crucial when deciding to diffuse TIL therapy [24].

Comparison of our findings with current literature in the context of an ATMP

Another barrier that ATMPs face in the translational pathway is the rapidly evolving field of immunotherapy [8, 9]. We therefore compared our results with the most recent developments described in the literature and most of the “likely” scenarios still seem to be in line. For example, several trials investigate a combination of TIL therapy and other targeted therapies: pretreatment with ipilimumab followed by TIL and IL-2 (NCT01701674) [19] or pretreatment with vemurafenib followed by TIL and IL-2 and followed by vemurafenib (NCT01659151) [28]. Besides, several trials investigate or investigated the effectiveness of a lower dose of IL-2 treatment [17, 29] (NCT02354690), and finally, research groups evaluate the optimal process of producing TILs, aiming to improve the efficacy of TIL therapy e.g. by enriching T cell products with neo-antigens [17, 30].

Some developments found in literature, however, were not incorporated. For instance, several studies evaluate different lymphodepleting preparative regimens such as total body irradiation (TBI) in combination with chemotherapy [17, 31]. It is currently unclear whether such a regimen would be applied soon, but this scenario could influence the cost-effectiveness as TBI (requiring autologous PSC support) would significantly increase the costs. Besides, a very likely scenario that is not incorporated in this analysis, is the use of TIL therapy in other tumors such as renal cell cancer, ovarian cancer, and colorectal cancer [32,33,34,35] (NCT01174121). This scenario should be kept in mind as it may facilitate the adoption of TIL by positively influence the clinicians’ attitude as clinical experience and exposure increases, and production costs may decrease. Furthermore, a recent literature review highlighted several potential agents (e.g. TIM3, GITR, OX40) that could be promising in treating advanced melanoma in the future [36]. Those agents are currently subject to the first phase I and II studies to evaluate their safety and efficacy [36]. Therefore, our study might have underestimated the likelihood of the competition scenario. However, available data on the efficacy and possible costs of those alternatives is too preliminary to incorporate these results in the cost-effectiveness analysis. When these agents are proven to be safe, effective, and more effective compared to TIL therapy, those new treatments could hamper the adoption of TIL therapy.

Observations from the scenario method and future directions

A wide range in the expected likelihood of the scenarios was identified (Fig. 2), which challenged the labeling process for likely and unlikely scenarios. This may be explained by several factors. First, when a respondent is not (yet) involved in the TIL therapy process, it is harder to have an opinion on the likelihood of these scenarios as theoretical models describe that some extent of experience is needed to evaluate the future adoption process [37]. Second, faced with uncertainty, respondents could be hesitant in choosing extreme options such as 0 and 100% likelihood. Finally, it is likely that the expected timing of these scenarios, if they are likely, differ across countries and hospitals as the adoption process and attitude towards TIL differs per site. The respondents originated from 12 different countries which could thus explain some of the wide ranges, as in one country a scenario may be likely in the coming 5 years (e.g. commercialization in the US) and in another country not at all.

Furthermore, we are aware that the scenarios labeled as “unlikely” and therefore not incorporated in the cost-effectiveness analysis, could still play a role in the adoption process of TIL therapy (e.g. biomarker development, possible dominance of T-cell receptor (TCR) gene therapy over TIL therapy, influence by companies and competition). These factors should not be neglected and it would be valuable to incorporate these in future decision-making processes.

Additionally, as the chance on the development of other types of cancer by using TIL therapy was thought to be 6.4% (CI:4.5–8.3%; Supplement 6) on average, clinical studies having a longer follow-up time than the current observational studies should evaluate the actual risk. When the risk is shown to be evident, it should be ethically discussed whether TIL treatment may still be preferred over ipilimumab. Finally, based on the currently available clinical evidence, data are lacking for one of the most likely scenarios, “third-line treatment”, to evaluate the relative cost-effectiveness of TIL therapy. When estimating the expected costs of palliative chemotherapy we can estimate the incremental QALYs needed to become cost-effective at a certain willingness to pay threshold. When estimating the costs of on average 3.5 doses of chemotherapy (dacarbazine) [38] at €17.102 based on a three-weekly dosage of 200 mg/m2 for 5 days [20, 39] compared to the costs of TIL therapy, the difference in QALY’s should be at least 0.561. This means that TIL therapy has to show a substantial gain in survival and/or quality of life or a reduction in follow-up costs to become cost-effective in the third line. Such a calculation is informative but to inform decision-makers on the effects of this likely scenario, clinical outcomes after progression on both PD-1 inhibitors and CTL-4 antibodies based on e.g. clinical registries should be obtained. Next, we should compare these to clinical outcomes of TIL therapy in patients that progressed on multiple treatment strategies, such as reported in the study of Sarnaik and colleagues [40].

Strengths and limitations

The main strength of the present study is that we systematically drafted future scenarios (qualitatively) with internal and external experts, using a Constructive Technology Assessment framework [11, 41] and using multiple Delphi rounds. This provides a comprehensive insight into the potential future developments that could influence TIL adoption and provides research and development teams with valuable information to anticipate possible future developments. Since the landscape of immunotherapy for melanoma is continuously developing, the expectations of the experts were compared to the most recent literature reviews and ongoing clinical trials to select the “likely” scenarios and discuss our results. The main limitation is obviously, that the scenarios may not even keep up with actual developments. Other limitations are related to the early nature of this analysis. For example, to simulate the combination therapy, the input for the model was based on a first observational study in which only 13 patients were enrolled that received the combination of TIL therapy and ipilimumab [19]. Additionally, the chosen cut-off value of ≥55% to evaluate scenarios as “likely” could be questioned due to the high uncertainty surrounding the likelihood scores. However, since the expert opinions and recent literature verified that the “likely” scenarios based on the cut-off value were “likely”, a different cut-off value is not expected to have altered our conclusions. Furthermore, the cost-effectiveness analyses were conducted from a Dutch perspective similar to the original model by Retèl et al. 2018. The costs for both TIL therapy and ipilimumab are expected to differ between countries [42] which limits the generalizability of the cost-effectiveness results in different settings. The generalizability may also be limited by the fact that mainly experts from European countries completed the questionnaire. However, by verifying the likelihood results with the most recent literature, the identified crucial contextual factors are expected to hold also in other countries because similar (financial) challenges are expected regarding e.g. outsourcing and providing a combination of therapies.

Conclusion

The results of our scenario study can support the implementation and adoption process of TIL therapy as they identified crucial contextual factors that require anticipation and identified potential facilitators (e.g. commercialization of TIL therapy and a combination therapy). As implementation of TIL therapy is complex and could be time-consuming, clinicians and/or other decision-makers may decide to adapt the implementation process to possible developments in an early stage to anticipate and grant timely patient access when TIL therapy shows to be effective.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

ATMP:

Advanced Therapy Medicinal Product

CED:

Coverage with Evidence Development

CTL4:

Cytotoxic T-Lymphocyte-associated protein 4

HTA:

Health Technology Assessment

ICER:

Incremental Cost-Effectiveness Ratio

IL-2:

Interleukin-2

NMB:

Net Monetary Benefit

NKI:

Netherlands Cancer Institute – Antoni van Leeuwenhoek Hospital

PD1:

Programmed cell death protein 1

QALY:

Quality Adjusted Life Year

RCT:

Randomized Controlled Trial

TA:

Technology Assessment

TBI:

Total Body Irradiation

TCR:

T-cell Receptor therapy

TIL:

Tumor Infiltrating lymphocytes

WTP:

Willingness To Pay

References

  1. 1.

    Garbe C, Eigentler TK, Keilholz U, Hauschild A, Kirkwood JM (2011) Systematic review of medical treatment in melanoma: current status and future prospects. Oncologist. https://doi.org/https://doi.org/10.1634/theoncologist.2010-0190.

  2. 2.

    Larkin J, Chiarion-Sileni V, Gonzalez R, et al (2019) Five-year survival with combined Nivolumab and Ipilimumab in advanced melanoma. N Engl J Med https://doi.org/https://doi.org/10.1056/nejmoa1910836.

  3. 3.

    Rosenberg SA, Packard BS, Aebersold PM, et al. Use of tumor-infiltrating lymphocytes and Interleukin-2 in the immunotherapy of patients with metastatic melanoma. N Engl J Med. 1988;319:1676–80.

    CAS  Article  Google Scholar 

  4. 4.

    Wu R, Forget MA, Chacon J, Bernatchez C, Haymaker C, Chen JQ, Hwu P, Radvanyi LG (2012) Adoptive T-cell therapy using autologous tumor-infiltrating lymphocytes for metastatic melanoma: current status and future outlook. Cancer J https://doi.org/https://doi.org/10.1097/PPO.0b013e31824d4465.

  5. 5.

    Andersen R, Donia M, Ellebaek E, et al. Long-lasting complete responses in patients with metastatic melanoma after adoptive cell therapy with tumor-infiltrating lymphocytes and an attenuated il2 regimen. Clin Cancer Res. 2016;22:3734–45.

    CAS  Article  Google Scholar 

  6. 6.

    Rosenberg SA, Yang JC, Sherry RM, et al. Durable complete responses in heavily pretreated patients with metastatic melanoma using T-cell transfer immunotherapy. Clin Cancer Res. 2011;17:4550–7.

    CAS  Article  Google Scholar 

  7. 7.

    Merhavi-Shoham E, Itzhaki O, Markel G, Schachter J, Besser MJ. Adoptive cell therapy for metastatic melanoma. Cancer J. 2017;23:48–53.

    CAS  Article  Google Scholar 

  8. 8.

    Hartmann-Fritsch F, Marino D, Reichmann E. About ATMPs, SOPs and GMP: the hurdles to produce novel skin grafts for clinical use. Transfus Med Hemother. 2016;43:344–52.

    Article  Google Scholar 

  9. 9.

    de Wilde S, Veltrop-Duits L, Hoozemans-Strik M, Ras T, Blom-Veenman J, Guchelaar H-J, Zandvliet M, Meij P. Hurdles in clinical implementation of academic advanced therapy medicinal products: a national evaluation. Cytotherapy. 2016;18:797–805.

    Article  Google Scholar 

  10. 10.

    Zorginstituut Nederland (Dutch institute of healthcare) (2015) Conditional approval for treatment with TILs in stage IIIc and IV advanced melanoma in the Netherlands. https://www.zorginstituutnederland.nl/werkagenda/kanker/voorwaardelijke-toelating-behandeling-met-tumor-infiltrerende-lymfocyten-til-van-uitgezaaid-melanoom-irresectabel-stadium-iiic-en-stadium-iv. Accessed 4 Sep 2019.

    Google Scholar 

  11. 11.

    Lindenberg MA, Retel VP, van den Berg JH, Geukes Foppen MH, Haanen JB, van Harten WH. Treatment with tumor-infiltrating lymphocytes in advanced melanoma: evaluation of early clinical implementation of an advanced therapy medicinal product. J Immunother. 2018;41:413–25.

    Article  Google Scholar 

  12. 12.

    Retel VP, Steuten LMG, Geukes Foppen MH, Mewes JC, Lindenberg MA, Haanen JBAG, van Harten WH. Early cost-effectiveness of tumor infiltrating lymphocytes (TIL) for second line treatment in advanced melanoma: a model-based economic evaluation. BMC Cancer. 2018;18:895.

    Article  Google Scholar 

  13. 13.

    Shell international BV (2008) Scenarios: An Explorer’s Guide.

    Google Scholar 

  14. 14.

    Enserink B, Hermans L. Policy analysis of multi-actor systems chapter 5: exploring the future: Eleven International Publishing; 2010.

  15. 15.

    Lipinski A, Loveridge D. Multiple perspective: concept, Application and User Guidelines; 1982.

    Google Scholar 

  16. 16.

    Joosten SEP, Retèl VP, Coupé VMH, van den Heuvel MM, van Harten WH (2016) Scenario drafting for early technology assessment of next generation sequencing in clinical oncology. BMC Cancer https://doi.org/https://doi.org/10.1186/s12885-016-2100-0.

  17. 17.

    Rohaan MW, van den Berg JH, Kvistborg P, Haanen JBAG. Adoptive transfer of tumor-infiltrating lymphocytes in melanoma: a viable treatment option. J Immunother Cancer. 2018;6:102.

    Article  Google Scholar 

  18. 18.

    Wilson MA, Schuchter LM. Chemotherapy for melanoma. In: Kaufman HL, Mehnert JM, editors. Melanoma. Cham: Springer International Publishing; 2016. p. 209–29.

    Google Scholar 

  19. 19.

    Mullinax JE, Hall M, Prabhakaran S, et al (2018) Combination of Ipilimumab and adoptive cell therapy with tumor-infiltrating lymphocytes for patients with metastatic melanoma. Front Oncol https://doi.org/https://doi.org/10.3389/fonc.2018.00044.

  20. 20.

    Zorginstituut Nederland (Dutch institute of healthcare) (2019) Medicijnkosten (costs of pharmaceuticals). http://www.medicijnkosten.nl/. Accessed 2 Apr 2020.

    Google Scholar 

  21. 21.

    Versteegh MM, Ramos IC, Buyukkaramikli NC, Ansaripour A, Reckers-Droog VT, Brouwer WBF (2019) Severity-adjusted probability of being cost effective. Pharmacoeconomics. https://doi.org/https://doi.org/10.1007/s40273-019-00810-8.

  22. 22.

    McCabe C, Claxton K, Culyer AJ (2008) The NICE cost-effectiveness threshold: what it is and what that means. Pharmacoeconomics. https://doi.org/https://doi.org/10.2165/00019053-200826090-00004.

  23. 23.

    Ali R, Hollander A, Kemp P, Webster A, Wilkins M. Regulating cell-based regenerative medicine: the challenges ahead. Regen Med. 2014;9:81–7.

    CAS  Article  Google Scholar 

  24. 24.

    Abou-El-Enein M, Elsanhoury A, Reinke P. Overcoming challenges facing advanced therapies in the EU market. Cell Stem Cell. 2016;19:293–7.

    CAS  Article  Google Scholar 

  25. 25.

    Galli MC. ATMPs for cancer immunotherapy: a regulatory overview. Methods Mol Biol. 2016;1393:1–9.

  26. 26.

    Gardner J, Faulkner A, Mahalatchimy A, Webster A. Are there specific translational challenges in regenerative medicine? Lessons from other fields. Regen Med. 2015;10:885–95.

    CAS  Article  Google Scholar 

  27. 27.

    Morgan SG, Bathula HS, Moon S. Pricing of pharmaceuticals is becoming a major challenge for health systems. BMJ. 2020;368:l4627.

    Article  Google Scholar 

  28. 28.

    Deniger DC, Kwong MLM, Pasetto A, Dudley ME, Wunderlich JR, Langhan MM, Lee C-CR, Rosenberg SA. A pilot trial of the combination of Vemurafenib with adoptive cell therapy in patients with metastatic melanoma. Clin Cancer Res. 2017;23:351–62.

    CAS  Article  Google Scholar 

  29. 29.

    Nguyen LT, Saibil SD, Sotov V, et al. Phase II clinical trial of adoptive cell therapy for patients with metastatic melanoma with autologous tumor-infiltrating lymphocytes and low-dose interleukin-2. Cancer Immunol Immunother. 2019;68:773–85.

    CAS  Article  Google Scholar 

  30. 30.

    Tran E, Turcotte S, Gros A, et al. Cancer immunotherapy based on mutation-specific CD4+ T cells in a patient with epithelial Cancer. Science. 2014;344(6184):641–5.

    CAS  Article  Google Scholar 

  31. 31.

    Dudley ME, Yang JC, Sherry R, et al (2008) Adoptive cell therapy for patients with metastatic melanoma: evaluation of intensive myeloablative chemoradiation preparative regimens. J Clin Oncol https://doi.org/https://doi.org/10.1200/JCO.2008.16.5449.

  32. 32.

    Lee HJ, Kim Y-A, Sim CK, et al (2017) Expansion of tumor-infiltrating lymphocytes and their potential for application as adoptive cell transfer therapy in human breast cancer. Oncotarget. https://doi.org/https://doi.org/10.18632/oncotarget.23007.

  33. 33.

    Baldan V, Griffiths R, Hawkins RE, Gilham DE. Efficient and reproducible generation of tumour-infiltrating lymphocytes for renal cell carcinoma. Br J Cancer. 2015;112:1510.

    CAS  Article  Google Scholar 

  34. 34.

    Andersen R, Donia M, Westergaard MCW, Pedersen M, Hansen M, Svane IM (2015) Tumor infiltrating lymphocyte therapy for ovarian cancer and renal cell carcinoma. Hum Vaccines Immunother https://doi.org/https://doi.org/10.1080/21645515.2015.1075106.

  35. 35.

    Mayor P, Starbuck K, Zsiros E (2018) Adoptive cell transfer using autologous tumor infiltrating lymphocytes in gynecologic malignancies. Gynecol Oncol https://doi.org/https://doi.org/10.1016/j.ygyno.2018.05.024.

  36. 36.

    Luther C, Swami U, Zhang J, Milhem M, Zakharia Y (2019) Advanced stage melanoma therapies: detailing the present and exploring the future. Crit Rev Oncol Hematol https://doi.org/https://doi.org/10.1016/j.critrevonc.2018.11.002.

  37. 37.

    Rogers EM (2003) The diffusion of innovations., 5th ed. Diffus Innov. https://doi.org/https://doi.org/10.1029/2001WR001015.

  38. 38.

    Middleton MR, Grob JJ, Aaronson N, et al (2000) Randomized phase III study of temozolomide versus dacarbazine in the treatment of patients with advanced metastatic malignant melanoma. J Clin Oncol https://doi.org/https://doi.org/10.1200/jco.2000.18.1.158.

  39. 39.

    Dutch Healthcare Authority (NZa) DBC-zorgproduct 029499025 (DRG open tariff). In: 2018. https://www.opendisdata.nl/msz/zorgproduct/029499025?. Accessed 20 Apr 2020.

  40. 40.

    Sarnaik A, Khushalani NI, Chesney JA, et al (2019) Safety and efficacy of cryopreserved autologous tumor infiltrating lymphocyte therapy (LN-144, lifileucel) in advanced metastatic melanoma patients who progressed on multiple prior therapies including anti-PD-1. J Clin Oncol https://doi.org/https://doi.org/10.1200/jco.2019.37.15_suppl.2518.

  41. 41.

    Douma KFL, Karsenberg K, Hummel MJM, Bueno-de-Mesquita JM, van Harten WH. Methodology of constructive technology assessment in health care. Int J Technol Assess Health Care. 2007;23:162–8.

    Article  Google Scholar 

  42. 42.

    van Harten WH, Wind A, de Paoli P, Saghatchian M, Oberst S (2016) Actual costs of cancer drugs in 15 European countries. Lancet Oncol https://doi.org/https://doi.org/10.1016/S1470-2045(15)00486-6.

Download references

Acknowledgements

The authors want to thank all the experts that participated in the web-based questionnaire.

Funding

This research was supported by the Netherlands Organisation for Health Research and Development, dossier number: 837004011.This grant was received to perform the randomized controlled trial to evaluate the (cost-)effectiveness of TIL therapy compared to ipilimumab in patients with advanced melanoma. This specific analysis was part of the cost-effectiveness analysis.

Author information

Affiliations

  1. Division of Psychosocial Research and Epidemiology, the Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands

    Melanie Lindenberg, Valesca Retèl & Wim van Harten

  2. Department of Health Technology and Services Research, University of Twente, MB-HTSR, PO Box 217, 7500AE, Enschede, The Netherlands

    Melanie Lindenberg, Valesca Retèl & Wim van Harten

  3. Biotherapeutics Unit (BTU), The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands

    Joost van den Berg

  4. Department of Medical Oncology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands

    Maartje Rohaan & John Haanen

Authors
  1. Melanie Lindenberg
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Valesca Retèl
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Maartje Rohaan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Joost van den Berg
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. John Haanen
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Wim van Harten
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

The study was designed by WvH, VR and ML. The data collection was performed by ML in collaboration with JH. All data were analyzed by ML and interpreted by and with all authors (WvH, VR, ML, JvB, MR, JH). ML drafted the manuscript. All authors listed (WvH, VR, ML, JvB, MR, JH), critically reviewed and approved the manuscript before submission.

Corresponding author

Correspondence to Wim van Harten.

Ethics declarations

Ethics approval and consent to participate

Our study does not contain nor collected patient level data. Therefore the medical ethical committee of the Netherlands Cancer Institute waived the need for formal ethical approval and indicated that obtaining informed consent was deemed unnecessary. However, each expert that was involved in the expert discussions was verbally asked for their consent and those invited for our questionnaire were asked by means of the questionnaire for their consent.

Consent for publication

Not applicable.

Competing interests

None of the authors declared to have competing interest regarding the findings of our study.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1: Supplement 1.

Questionnaire. Supplement 2. Identifying the “likely” scenarios. Supplement 3. Information on the input parameters for the base case analysis. Supplement 4. Full results of incorporation of the “likely” scenarios. Supplement 5. Reasoning for labelling scenarios likely or unlikely. Supplement 6. Results from the questions included in the questionnaire

Rights and permissions

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/. 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 in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Lindenberg, M., Retèl, V., Rohaan, M. et al. Evaluating different adoption scenarios for TIL-therapy and the influence on its (early) cost-effectiveness. BMC Cancer 20, 712 (2020). https://doi.org/10.1186/s12885-020-07166-9

Download citation

Keywords

  • Tumor-infiltrating lymphocytes
  • Advanced melanoma
  • Implementation
  • Expert views
  • Health technology assessment

BMC Cancer

ISSN: 1471-2407

Contact us