Abstract
Purpose
It was previously demonstrated that radiation effects can enhance the therapy outcome of immune checkpoint inhibitors. In this study, a syngeneic breast tumor mouse model was used to investigate the effect of [177Lu]Lu-DOTA-folate as an immune stimulus to enhance anti-CTLA-4 immunotherapy.
Methods
In vitro and in vivo studies were performed to characterize NF9006 breast tumor cells with regard to folate receptor (FR) expression and the possibility of tumor targeting using [177Lu]Lu-DOTA-folate. A preclinical therapy study was performed over 70 days with NF9006 tumor-bearing mice that received vehicle only (group A); [177Lu]Lu-DOTA-folate (5 MBq; 3.5 Gy absorbed tumor dose; group B); anti-CTLA-4 antibody (3 × 200 μg; group C), or both agents (group D). The mice were monitored regarding tumor growth over time and signs indicating adverse events of the treatment.
Results
[177Lu]Lu-DOTA-folate bound specifically to NF9006 tumor cells and tissue in vitro and accumulated in NF9006 tumors in vivo. The treatment with [177Lu]Lu-DOTA-folate or an anti-CTLA-4 antibody had only a minor effect on NF9006 tumor growth and did not substantially increase the median survival time of mice (23 day and 19 days, respectively) as compared with untreated controls (12 days). [177Lu]Lu-DOTA-folate sensitized, however, the tumors to anti-CTLA-4 immunotherapy, which became obvious by reduced tumor growth and, hence, a significantly improved median survival time of mice (> 70 days). No obvious signs of adverse effects were observed in treated mice as compared with untreated controls.
Conclusion
Application of [177Lu]Lu-DOTA-folate had a positive effect on the therapy outcome of anti-CTLA-4 immunotherapy. The results of this study may open new perspectives for future clinical translation of folate radioconjugates.
Electronic supplementary material
The online version of this article (10.1007/s00259-020-05054-9) contains supplementary material, which is available to authorized users.
Keywords: Folate receptor, Immunotherapy, NF9006 breast tumor cells, CTLA-4, [177Lu]Lu-DOTA-folate
Introduction
Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy and, thus, attracted increasing interest of clinicians over the last years [1, 2]. Immune checkpoints, including the cytotoxic T-lymphocyte antigen 4 (CTLA-4), provide inhibitory signals, which inactivate cytotoxic CD8+ T cells that are a key player in the anti-cancer immune response. ICIs such as anti-CTLA-4 antibodies are used to block these signals and, hence, stimulate the elimination of cancer cells [3, 4]. It was, however, observed that only a subset of patients responded to ICI monotherapy [2, 5]. As demonstrated in (pre)clinical studies [6, 7], the lack of response may have been ascribed to specific characteristics of the tumor, which defines it as poorly immunogenic (“cold”). In current clinical therapy settings, ICIs are, therefore, often combined with immune sensitizers, including chemotherapeutics [5, 8].
Radiation therapy has long been regarded as an exclusively genotoxic therapy modality that induces various types of cell damage and death, while radiation effects involving the immune system have been neglected for decades [9]. The discovery of the “abscopal” effect, referring to systemic anti-tumor radiation effects outside irradiated lesions, has, however, proven the impact of radiation on the tumor microenvironment [10]. Based on these observations, the rationale arose for using radiation stimuli to convert immunologically “cold” tumors into highly immunogenic (“hot”) tumors which are of vital interest to enhance the response rate to immunotherapies [9].
Breast cancer is the most frequently diagnosed cancer in women of the Western world and associated with a high mortality rate [11]. It presents mostly as systemic malignancy requiring—in addition to surgery and local treatments—chemotherapy and hormonal therapy which are, however, not always sufficiently effective [12, 13]. ICI therapy emerged as a valid alternative for the treatment of breast cancer even though the results of early clinical trials performed with ICI monotherapy in metastatic disease were modest [14]. The concept of using external radiation to sensitize poorly immunogenic tumors and enable immune response to CTLA-4 blockade has been demonstrated previously in a 4T1 breast tumor model and in several other preclinical and clinical studies [7, 15, 16]. The combination of ICI with external radiation in metastatic disease is, however, dependent on the abscopal effect to enable also the response of non-irradiated distant lesions [17].
Systemic radiation, through the use of tumor-targeted radiopharmaceuticals, seemed even more intriguing to be combined with ICI [18, 19], as it would allow reaching even smallest lesions in disseminated disease [20]. The clinical application of radiopharmaceuticals for this purpose has been scarcely described in the literature, yet several clinical studies designed to realize this promising concept are currently on going. They are aimed at investigating the beneficial effect of combining [177Lu]Lu-PSMA-617 or [177Lu]Lu-DOTATATE with ICIs for the treatment of metastasized castration-resistant prostate cancer (NCT03658447; NCT03805594) and neuroendocrine tumors (NCT03457948) as well as Merkel cell carcinomas (NCT04261855), respectively.
Tumor targeting with folate-based radioconjugates has been extensively investigated over the last two decades in (pre)clinical studies [21, 22]. More recently, folate-based radiopharmaceuticals have gained renewed interest for imaging purposes but also for therapeutic application [23–25]. The utilization of folate radioconjugates to trigger the immune response would be an additional, highly promising approach applicable for many cancer diseases due to the frequent expression of the FR on various tumor types [26–28]. In breast cancer, the FR is expressed in ~ 50% of the cases and was shown to be associated with ~ 70% of triple-negative breast cancer, which is particularly aggressive [29–33].
In this study, we evaluated and applied a murine breast cancer cell line, NF9006, originally derived from a transgenic mouse model [34, 35]. In vitro and in vivo studies were performed to investigate the possibility of targeting NF9006 tumor cells with [177Lu]Lu-DOTA-folate. In a proof-of-concept study, [177Lu]Lu-DOTA-folate was applied to NF9006 tumor-bearing mice to investigate whether this radiation stimulus would have an impact on the efficacy of anti-CTLA-4 immunotherapy.
Materials and methods
Radiosynthesis of the [177Lu]Lu-DOTA-folate
In this study, an albumin-binding DOTA-folate conjugate was used for labeling with lutetium-177 [23, 25]. The radiosynthesis was performed under standard labeling conditions at pH ~ 4.5 using no-carrier-added lutetium-177 (Medical Isotopes ITM GmbH, Germany) as previously reported (Supplementary Material Fig. S1) [25].
Tumor cell culture
NF9006 tumor cells [35–39], a breast cancer cell line derived from MMTV-Neu transgenic mice with the FVB/N genetic background (FVB/N-Tg(MMTVneu)202Mul/J [40, 41]), were kindly provided by Prof. Martin Pruschy, University Hospital Zurich, Switzerland. KB cells (human cervical carcinoma cell line, German Collection of Microorganisms and Cell Cultures GmbH, ACC-136) and 4T1 tumor cells (kindly provided by Dr. Dyvia Vats, ETH Zurich, Switzerland) were used as FR-positive and FR-negative controls, respectively [42, 43]. NF9006 and KB cells were cultured using folate-deficient RPMI (FFRPMI) medium supplemented with 10% fetal calf serum, l-glutamine, and antibiotics and 4T1 cells were cultured in supplemented RPMI medium.
Western blot
Western blot analysis was performed as previously reported [42] using a primary rabbit antibody against the FR (Abcam, ab67422, 1:1800) and a secondary anti-rabbit goat IgG antibody functionalized with horseradish peroxidase (Cell Signaling, 7074S, 1:3000) for detection using Amersham enhanced chemiluminescence (ECL) substrate (Prime Western Blotting Detection Reagent, GE Healthcare) (Supplementary Material). Detection of GAPDH served as a loading control (Cell Signaling, 5174S, rabbit mAb, 1:2000 and (HRP)-conjugated anti-rabbit IgG, 7074S, 1:5000). The signals were quantified to estimate the FR expression level on NF9006 tumor cells relative to KB tumor cells using ImageJ software (version 1.52d) (Supplementary Material).
Cell experiments
The NF9006 tumor cells were used to demonstrate in vitro uptake and internalization and to determine the FR-binding affinity (KD value) of [177Lu]Lu-DOTA-folate (25 MBq/nmol and 20 MBq/nmol, respectively) according to previously reported procedures (Supplementary Material) [25]. In vitro cell saturation experiments were performed to estimate the FR expression level in NF9006 tumor cells relative to the expression level in KB tumor cells (Supplementary Material).
In vitro autoradiography
Autoradiography studies were performed on frozen tissue sections of NF9006, KB, and 4T1 tumors as previously reported (Supplementary Material) [44]. The sections were exposed to [177Lu]Lu-DOTA-folate (0.5 MBq/mL; 0.01 nmol/mL). Excess folic acid (100 μM) was added to the solution to block the FRs. After incubation, the tissue sections were washed and air-dried. Images were obtained using a storage phosphor system (Cyclone Plus, Perkin Elmer) and quantified using OptiQuant software (version 5.0, Bright Instrument Co Ltd., Perkin Elmer™).
In vivo experiments
All applicable international, national, and institutional guidelines for the care and use of animals were followed, and the experiments were carried out according to the guidelines of Swiss Regulations for Animal Welfare. The preclinical studies were ethically approved by the Cantonal Committee of Animal Experimentation and permitted by the responsible cantonal authorities (license nos. 75679, 75721, and 79692).
Female FVB/NCrl mice were obtained from Charles River Laboratories (Sulzfeld, Germany) at the age of 6–7 weeks and fed with a folate-deficient rodent diet (ssniff Spezialdiäten GmbH; Soest, Germany). After acclimatization for 5–7 days, the mice were subcutaneously inoculated with 2.5 × 106 NF9006 tumor cells in 100 μL PBS.
Biodistribution and dosimetry of [177Lu]Lu-DOTA-folate
Biodistribution studies were performed in quadruplicate, 12–14 days after NF9006 tumor cell inoculation (tumor volume: ~ 100–300 mm3). Mice were intravenously injected with [177Lu]Lu-DOTA-folate (3 MBq, 0.5 nmol, 100 μL) and sacrificed at defined time points. FR-specific uptake of [177Lu]Lu-DOTA-folate at 4 h p.i. was confirmed by pre-injection of excess folic acid (100 μg, 100 μL per mouse) to block FRs. Selected tissues and organs were collected, weighed, and counted using a γ-counter (Perkin Elmer, Wallac Wizard 1480). The results were listed as a percentage of the injected activity per gram of tissue mass (% IA/g).
Dosimetric calculations were performed based on non-decay-corrected biodistribution data (Supplementary Material Table S1). The cumulated activity was estimated by calculating the time-integrated activity concentration coefficients (TIACCs) and used for calculation of the mean specific absorbed dose (Gy/MBq) to the NF9006 tumors and kidneys. The absorbed fractions for the tumor and the kidneys were assessed by Monte Carlo simulations using PENELOPE 2014 (Supplementary Materials) [45].
SPECT/CT imaging studies
The acquisition of SPECT/CT images was performed with a dedicated small-animal SPECT/CT scanner (NanoSPECT/CT™, Mediso Medical Imaging Systems, Budapest, Hungary) as previously reported (Supplementary Material) [23, 25]. CT scans of 7.5 min duration time were followed by a SPECT scan of ~ 40 min of NF9006 tumor-bearing mice at 4 h and 24 h after injection of [177Lu]Lu-DOTA-folate (25 MBq, 0.5 nmol, 100 μL). During the scans, mice were anesthetized with a mixture of isoflurane and oxygen. Images were prepared using VivoQuant post-processed software (version 3.5, inviCRO Imaging Services and Software, Boston USA). A Gauss post-reconstruction filter (FWHM = 1 mm) was applied twice, and the scale of activity was indicated on the images.
Therapy study
The subtherapeutic quantity of [177Lu]Lu-DOTA-folate, which was believed to sensitize tumors to ICIs, was assessed in a separate pre-therapeutic study (Supplementary Material). The design of the therapy study was adapted from Demaria et al. [15]. The experiment was performed with four groups of NF9006 tumor-bearing mice (n = 11) with an average initial tumor volume of 70–110 mm3 and an initial body weight of ~21 g (Table 1). The [177Lu]Lu-DOTA-folate (5 MBq; 0.5 nmol) was diluted in PBS (100 μL) containing 0.05% BSA (vehicle) and injected into a lateral tail vein. The immunoglobulin G (polyclonal Syrian hamster IgG, InVivoMab, BioXCell; 200 μg) or anti-mouse CTLA-4 monoclonal antibody (anti-CTLA-4 antibody, InVivoMab, clone 9H10, BioXCell; 200 μg) were applied intraperitoneally in 200 μL dilution buffer. Control mice (group A) were sham-treated with vehicle on day 0 and a control antibody (IgG) at days 1, 4, and 7. Mice of group B received [177Lu]Lu-DOTA-folate and IgG, and mice of group C received the vehicle and anti-CTLA-4 antibody in an analogous sequence. Mice of group D received [177Lu]Lu-DOTA-folate and anti-CTLA-4 antibody (Table 1). The mice were monitored by general observation and measuring the tumor size and body weight (Supplementary Material). Endpoint criteria, which required euthanasia of the mice, were defined as (i) a tumor volume of ≥ 1000 mm3, (ii) body weight loss of ≥ 15%, (iii) a combination of a tumor size of ≥ 800 mm3 and body weight loss of ≥ 10% and/or (iv) ulceration of the tumor and/or (v) abnormal behavior, indicating pain or unease.
Table 1.
Group (n = 11) | Treatment | Tumor volume1 (mm3) (average ± SD) | Body weight1 (g) (average ± SD) |
|
---|---|---|---|---|
[177Lu]Lu-DOTA-folate (applied at day 0) | Antibody (applied at days 1, 4, and 7) | Day 0 | Day 0 | |
A | Vehicle | Control IgG antibody (200 μg/day) | 110 ± 51 | 22.3 ± 1.8 |
B | [177Lu]Lu-DOTA-folate (5 MBq) | Control IgG antibody (200 μg/day) | 71 ± 442 | 21.3 ± 1.62 |
C | Vehicle | anti-CTLA-4 antibody (200 μg/day) | 98 ± 752 | 21.2 ± 1.62 |
D | [177Lu]Lu-DOTA-folate (5 MBq) | anti-CTLA-4 antibody (200 μg/day) | 88 ± 67 | 21.4 ± 1.6 |
*Vehicle: 0.05% BSA in PBS
1No significant differences determined between the values measured for each group (p > 0.05)
2 These values refer to the n = 10 mice after exclusion of one mouse in group B and C, respectively
Assessment of the therapy
The tumor growth inhibition (TGI) was defined as [100 − (RTVT / RTVC × 100)] where RTVT is the relative tumor volume of treated mice at day 8, when the first mouse of the control group (group A) reached the endpoint, and RTVC is the average relative tumor volume of control mice. The TGD2, TGD5 and TGD8 were calculated as the time required for the tumor volume to increase 2-, 5-fold and 8-fold, respectively, over the initial volume at the day 0. The tumor growth delay index (TGDI) was calculated as the TGD2, TGD5 and TGD8 ratio of treated mice (T) over control mice (C) [TGDIx = TGDx(T)/TGDx(C); x = 2, 5 or 8].
Potential early side effects were assessed by comparison of average body weights, blood plasma chemistry, and organ mass-to-brain mass ratios (Supplementary Material).
Statistical analysis
Statistical analysis of FR-specific binding of [177Lu]Lu-DOTA-folate determined in cell uptake and autoradiography studies was performed using one-way ANOVA with Bonferroni’s multiple comparisons post-test. Biodistribution data were analyzed using two-way ANOVA with Sidak’s multiple comparisons post-test. The initial body weight and tumor volume of therapy mice were tested for statistical significance using one-way ANOVA with Dunnett’s multiple comparisons post-test. Survival of mice was analyzed with Kaplan-Meier curves and a log-rank test (Mantel-Cox). All analyses were performed using GraphPad Prism (version 7.0). A p value of < 0.05 was considered statistically significant.
Results
In vitro characterization of the NF9006 breast cancer cell line for FR-targeting
Western blot analysis demonstrated FR expression in NF9006 tumor cells at ~ 30-fold lower levels than in KB tumor cells, which are known to express the FR at non-physiologically high levels (Supplementary Material Fig. S2) [42].
Cell uptake and internalization studies revealed similar uptake of [177Lu]Lu-DOTA-folate into NF9006 cells (102 ± 13%) as found for KB cells (set as 100%) after a 4-h incubation period with about 50% of the activity internalized. Co-incubation with excess folic acid reduced the uptake of [177Lu]Lu-DOTA-folate to < 1% (p < 0.05), which corresponded to the uptake in FR-negative 4T1 cells (~ 0.3%) (Fig. 1a). Experiments to determine the FR-binding affinity of [177Lu]Lu-DOTA-folate in NF9006 tumor cells revealed a KD value of 2.1 ± 0.8 nM, but the Bmax value determined for NF9006 tumor cells was ~ 35-fold lower than in KB tumor cells (Supplementary Material Fig. S3).
In vitro autoradiographic images confirmed FR expression on NF9006 tumor sections, which—according to the signal intensity—was about 5-fold lower (21 ± 1%) than the signal in KB tumors (set as 100%). The binding dropped to only ~ 2% (p < 0.05) on sections co-incubated with excess folic acid to block FRs, similarly to the signal for FR-negative 4T1 tumors (~ 4%) (Fig. 1b; Supplementary Material Fig. S4).
Assessment of the NF9006 tumor mouse model for FR-targeting
The NF9006 tumor mouse model was assessed regarding the ability to accumulate [177Lu]Lu-DOTA-folate in tumors (Fig. 2a, Supplementary Material Table S1). Significant uptake and retention was found in the tumor tissue with a maximum value of ~ 12% IA/g between 4 and 24 h after injection of [177Lu]Lu-DOTA-folate. Uptake of [177Lu]Lu-DOTA-folate in the kidneys (18 ± 1% IA/g; 4 h p.i.) was relatively high due to renal expression of the FR [44]. Off-target organs and tissues that do not express the FR did not substantially accumulate the [177Lu]Lu-DOTA-folate. Blocking studies using excess folic acid reduced the tumor and kidney uptake of [177Lu]Lu-DOTA-folate to ~ 50% and ~ 35%, respectively, of unblocked accumulation at 4 h after injection (Fig. 2b, Supplementary Material Table S1).
Dose estimations based on non-decay-corrected biodistribution data for NF9006 tumors and kidneys revealed a mean absorbed tumor dose of 0.7 Gy/MBq and a mean absorbed kidney dose of 1.21 Gy/MBq. The resulting tumor-to-kidney dose ratio was ~ 0.6.
SPECT/CT imaging studies
SPECT/CT imaging studies confirmed the high uptake of [177Lu]Lu-DOTA-folate in NF9006 tumors and in the kidneys (Fig. 3). The uptake in lymph nodes of the neck and armpits appeared specific to this mouse strain rather than related to the tumor as demonstrated in control experiments, performed with FVB mice without tumors in which the same distribution pattern was observed (Supplementary Material Fig. S5).
Therapy study using [177Lu]Lu-DOTA-folate and an anti-CTLA-4 antibody
Based on the in vitro data and biodistribution studies, the NF9006 tumor mouse model appeared useful to investigate the potential of [177Lu]Lu-DOTA-folate to enhance anti-CTLA-4 immunotherapy. A subtherapeutic quantity of [177Lu]Lu-DOTA-folate (3.5 Gy tumor dose; 5 MBq/mouse) was chosen to obtain a low-dose radiation stimulus of the tumor prior to immunotherapy with an anti-CTLA-4 antibody (Supplementary Material Fig. S6 and Table S2). In control mice (group A), the tumors increased in size over the whole time of investigation (Fig. 4a). Mice of groups B and C, which received either [177Lu]Lu-DOTA-folate or the anti-CTLA-4 antibody, respectively (Fig. 4b,c), showed only ~ 10–40% delayed tumor growth compared with the controls (Fig. 4e, Supplementary Material Table S3). Mice that received [177Lu]Lu-DOTA-folate and anti-CTLA-4 immunotherapy (group D), responded in 8 out of 11 cases, demonstrated by decreasing tumor volumes over time, and in 7 cases the NF9006 tumors disappeared entirely (Fig. 4d). This led to increased tumor growth delay indices (TGDI) and tumor growth inhibition (TGI) of mice in group D as compared with mice of the other groups (Fig. 4e; Table 2; Supplementary Material Table S3). Mice of group D also showed the highest survival rate (~ 70% at day 70) when compared with groups A, B, and C (≤ 20%) (Fig. 4f). The median survival time of mice of group D remained undetermined since more than 50% of the mice were still alive at the end of the study. The median survival times of mice of groups B and C were 23 days and 19 days, respectively, compared with the control mice that had a median survival time of 12 days (Table 2).
Table 2.
Group | Treatment | Time frame of euthanasia (day) | Median survival (days) | Survival curve sig. different from groups 1 | TGI (%) |
---|---|---|---|---|---|
A | Sham treated | 8–70 | 12 | D | 0 |
B | [177Lu]Lu-DOTA-folate | 14–70 | 23 | D | 7 ± 50 |
C | Anti-CTLA-4 antibody | 10–70 | 19 | D | 17 ± 37 |
D | Combination | 12–70 | >702 | A, B, C | 48 ± 28 |
*Day 70 = End of the study
1Comparison of survival curves by log-rank (Mantel-Cox) test
2more than 50% of mice were alive at the end of the study at day 70
All mice that were euthanized before the end of the study reached the endpoint due to the tumor volume and ulceration, but not due to body weight loss. No significant differences were observed among treated animals (groups B–D) and untreated controls (group A) regarding blood plasma parameters and organ-to-brain mass ratios at the time of euthanasia as well as in terms of body weight, which indicates the absence of early adverse effects (Supplementary Material Fig. S7 and Tables S4, S5, and S6).
Discussion
In this study, we set out to evaluate the syngeneic NF9006 breast cancer mouse model with the aim to use it for the investigation of anti-CTLA-4-based immunotherapy after low-dose irradiation delivered by application of [177Lu]Lu-DOTA-folate.
The feasibility of targeting NF9006 breast cancer with [177Lu]Lu-DOTA-folate was successfully demonstrated in vitro and in vivo. The uptake of [177Lu]Lu-DOTA-folate in NF9006 tumor cells was comparable with the results obtained with KB tumor cells in spite of the lower FR expression level determined in NF9006 tumor cells. Obviously, the applied concentration of [177Lu]Lu-DOTA-folate was far below the quantity that would result in saturation effects of the receptor (Supplementary Material Fig. S8). SPECT/CT imaging and biodistribution studies with mice revealed a reasonable accumulation of [177Lu]Lu-DOTA-folate in NF9006 tumors which was about half of the uptake in KB tumor xenografts (unpublished results). The dose calculations revealed, however, that 5 MBq injected [177Lu]Lu-DOTA-folate per mouse was sufficient to obtain 3.5 Gy absorbed tumor dose. This quantity of injected [177Lu]Lu-DOTA-folate resulted in an absorbed kidney dose (~ 6 Gy) far below the safe limit of 23 Gy [24]. The tumor growth delay of mice that received [177Lu]Lu-DOTA-folate prior to anti-CTLA-4 antibody therapy was doubled, and, as a consequence, the survival time of mice substantially increased.
These data clearly indicate the promising potential of [177Lu]Lu-DOTA-folate to be used as a radiation stimulus to enhance breast tumor response to anti-CTLA-4 immunotherapy. It is hypothesized but not confirmed yet that the observed effect was based on radiation-induced changes in the tumor microenvironment. This may include CD8+ T cell infiltration and recruitment of innate immune cells as it was previously reported in preclinical studies that used radioconjugates to enhance the response to ICIs in mouse models of melanoma [19, 46], non-Hodgkin lymphoma [47], and colon cancer [18].
It is worth mentioning that the therapy data of our study resulted from mouse groups with tumors in a relatively large volume range, which is a relevant finding in view of the clinical situation, in which large inter- and intra-individual differences among the stages of tumor metastases are expected. It indicated that even larger tumors responded well (Supplementary Material Fig. S9), although it is known that the size of tumors may critically influence the infiltration of immune cells [48–51].
The set-up of future preclinical studies has to be carefully evaluated in order to provide robust data that are meaningful in view of clinical translation of the proposed concept. It is, thus, essential to investigate the underlying mechanism of the immune cell response upon application of [177Lu]Lu-DOTA-folate as previously reported for [177Lu]Lu-DOTATATE [52]. This may provide relevant information to allow a further optimization of the treatment scheme.
Spontaneous tumor mouse models would reflect the patient situation better; however, using transgenic MMTV-Neu mice, from which NF9006 cells are derived, would require effective means to determine the tumor burden before and during therapy. In this context, we investigated the option of positron emission tomography (PET) imaging using 18F-AzaFol, a clinically investigated PET folate radiotracer [53, 54], which unambiguously visualized NF9006 tumors in mice (Supplementary Material Table S7 and Figs. S10 and S11), while this was not the case when using [18F]fluorodeoxyglucose ([18F]FDG), the most frequently employed clinical PET radiotracer.
Certainly, the approach reported in this study is not limited to the use of [177Lu]Lu-DOTA-folate but may open new application fields for other tumor-targeting radioconjugates that may induce immunogenic cell death and, thus, enhance ICI therapy as previously reported by Rouanet et al. [46]. Similarly, other systemic therapies, such as radiosensitizing chemotherapeutics, and mTOR inhibitors may also profit from combination with tumor-targeting radioconjugates [55].
Conclusion
In this study, we demonstrated the promising potential of [177Lu]Lu-DOTA-folate to enhance the tumor response to ICIs. In view of a future clinical translation, further preclinical studies are warranted for an in-depth understanding of the underlying immune response to radiation in this model. The approach of turning “cold” tumors “hot” by application of low-dosed radiopharmaceuticals may provide nuclear oncology with a new dimension in the context of future perspectives in cancer therapy.
Electronic supplementary material
Acknowledgments
The authors thank Prof. Dr. Martin Pruschy from Department of Radiation Oncology, University Hospital Zurich, for providing the NF9006 cell line. The authors thank Fan Sozzi-Guo for technical assistance of the in vitro experiments at PSI and Annette Krämer for producing 18F-AzaFol at ETH Zurich. The authors thank Dr. Anass Johayem, head of the radiopharmacy of the University Hospital Zurich, for providing [18F]fluorodeoxyglucose and Dr. Konstantin Zhernosekov (ITM Medical Isotopes GmbH, Germany) for providing no-carrier-added lutetium-177 for this study. The authors thank Dr. Francesca Borgna and Sarah D. Busslinger for reviewing of the final manuscript.
Associated content
The Supplementary Material comprises of information about radiolabeling of the folate including HPLC analysis, western blot analysis, cell uptake and internalization studies, in vitro autoradiography, biodistribution studies, dosimetry calculations, SPECT/CT imaging studies, tumor response to [177Lu]Lu-DOTA-folate, therapy assessment and determination of early adverse effects, cell uptake studies using various quantities of applied [177Lu]Lu-DOTA-folate, correlation of initial tumor sizes and tumor response during therapy, and assessment of PET radiotracers for monitoring therapy in future.
Abbreviations
- ANOVA
Analysis of variance
- BSA
Bovine serum albumin
- CD8+
Cluster of differentiation 8 positive
- CT
Computed tomography
- CTLA-4
Cytotoxic T lymphocyte-associated antigen 4
- DOTA
1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid
- FA
Folic acid
- FDG
Fluorodeoxyglucose
- FR
Folate receptor
- FWHM
Full width at half maximum
- H
Heart
- HPLC
High performance liquid chromatography
- IA
Injected activity
- ICI
Immune checkpoint inhibitor
- IgG
Immunoglobulin G
- Ki
Kidney
- mAb
Monoclonal antibody
- MMTV
Mouse mammary tumor virus
- PET
Positron emission tomography
- PBS
Phosphate-buffered saline
- PVDF
Polyvinylidene difluoride
- RBW
Relative body weight
- RPMI
Roswell Park Memorial Institute
- RTV
Relative tumor volume
- SD
Standard deviation
- SPECT
Single photon emission computed tomography
- TGDI
Tumor growth delay index
- TGI
Tumor growth inhibition
- Tu
Tumor
Funding
Open Access funding provided by Lib4RI – Library for the Research Institutes within the ETH Domain: Eawag, Empa, PSI & WSL. This work was financially supported by the Swiss National Science Foundation (Grants 310030_156803 and 310030_188978). P.G. and K.S. were financially supported by a Swiss Government Excellence Scholarship. P.B. was supported financially by the Swedish Cancer Society (2018/577), the Swedish Research Council (2018-05098-3), and the King Gustav V Jubilee Clinic Cancer Research Foundation (2018:200).
Compliance with ethical standards
Conflict of interest
The authors declare the following competing financial interest(s): Patent applications on DOTA-folate ligands have been filed by Merck & Cie, Schaffhausen, Switzerland.
Ethical approval
This study was performed in agreement with the national law and PSI-internal guidelines of radiation safety protection. In vivo experiments were approved by the local veterinarian department and ethics committee and conducted in accordance with the Swiss law of animal protection.
Footnotes
This article is part of the Topical Collection on Radiopharmacy
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Patrycja Guzik, Email: patrycja.guzik@psi.ch.
Klaudia Siwowska, Email: klaudiasiwowska@gmail.com.
Hsin-Yu Fang, Email: hy.fang11@gmail.com.
Susan Cohrs, Email: susan.cohrs@psi.ch.
Peter Bernhardt, Email: peter.bernhardt@gu.se.
Roger Schibli, Email: roger.schibli@psi.ch.
Cristina Müller, Email: cristina.mueller@psi.ch.
References
- 1.Leach DR, Krummel MF, Allison JP. Enhancement of antitumor immunity by CTLA-4 blockade. Science. 1996;271:1734–1736. doi: 10.1126/science.271.5256.1734. [DOI] [PubMed] [Google Scholar]
- 2.Singh S, Hassan D, Aldawsari HM, Molugulu N, Shukla R, Kesharwani P. Immune checkpoint inhibitors: a promising anticancer therapy. Drug Discov Today. 2020;25:223–229. doi: 10.1016/j.drudis.2019.11.003. [DOI] [PubMed] [Google Scholar]
- 3.Pardoll DM. The blockade of immune checkpoints in cancer immunotherapy. Nature Rev Cancer. 2012;12:252–264. doi: 10.1038/nrc3239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Sharma P, Allison JP. The future of immune checkpoint therapy. Science. 2015;348:56–61. doi: 10.1126/science.aaa8172. [DOI] [PubMed] [Google Scholar]
- 5.Mahoney KM, Rennert PD, Freeman GJ. Combination cancer immunotherapy and new immunomodulatory targets. Nat Rev Drug Discov. 2015;14:561–584. doi: 10.1038/nrd4591. [DOI] [PubMed] [Google Scholar]
- 6.Lechner MG, Karimi SS, Barry-Holson K, Angell TE, Murphy KA, Church CH, et al. Immunogenicity of murine solid tumor models as a defining feature of in vivo behavior and response to immunotherapy. J Immunother. 2013;36:477–489. doi: 10.1097/01.cji.0000436722.46675.4a. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Hu ZI, Ho AY, McArthur HL. Combined radiation therapy and immune checkpoint blockade therapy for breast cancer. Int J Radiat Oncol Biol Physics. 2017;99:153–164. doi: 10.1016/j.ijrobp.2017.05.029. [DOI] [PubMed] [Google Scholar]
- 8.Joshi S, Durden DL. Combinatorial approach to improve cancer immunotherapy: rational drug design strategy to simultaneously hit multiple targets to kill tumor cells and to activate the immune system. J Oncol. 2019;2019:5245034. doi: 10.1155/2019/5245034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Sevenich L. Turning "cold" into "hot" tumors-opportunities and challenges for radio-immunotherapy against primary and metastatic brain cancers. Frontiers Oncol. 2019;9:163. doi: 10.3389/fonc.2019.00163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hu ZI, McArthur HL, Ho AY. The abscopal effect of radiation therapy: what is it and how can we use it in breast cancer? Curr Breast Cancer Rep. 2017;9:45–51. doi: 10.1007/s12609-017-0234-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin. 2019;69:7–34. doi: 10.3322/caac.21551. [DOI] [PubMed] [Google Scholar]
- 12.Early Breast Cancer Trialists' Collaborative G Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials. Lancet. 2005;365:1687–1717. doi: 10.1016/S0140-6736(05)66544-0. [DOI] [PubMed] [Google Scholar]
- 13.Weigelt B, Peterse JL. Van 't veer LJ. Breast cancer metastasis: markers and models. Nature Rev Cancer. 2005;5:591–602. doi: 10.1038/nrc1670. [DOI] [PubMed] [Google Scholar]
- 14.Denkert C. The immunogenicity of breast cancer--molecular subtypes matter. Ann Oncol. 2014;25:1453–1455. doi: 10.1093/annonc/mdu235. [DOI] [PubMed] [Google Scholar]
- 15.Demaria S, Kawashima N, Yang AM, Devitt ML, Babb JS, Allison JP, et al. Immune-mediated inhibition of metastases after treatment with local radiation and CTLA-4 blockade in a mouse model of breast cancer. Clin Cancer Res. 2005;11:728–734. [PubMed] [Google Scholar]
- 16.Demaria S, Pilones KA, Vanpouille-Box C, Golden EB, Formenti SC. The optimal partnership of radiation and immunotherapy: from preclinical studies to clinical translation. Radiation Res. 2014;182:170–181. doi: 10.1667/RR13500.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Yilmaz MT, Elmali A, Yazici G. Abscopal effect, from myth to reality: from radiation oncologists' perspective. Cureus. 2019;11:e3860. doi: 10.7759/cureus.3860. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Chen H, Zhao L, Fu K, Lin Q, Wen X, Jacobson O, et al. Integrin avb3-targeted radionuclide therapy combined with immune checkpoint blockade immunotherapy synergistically enhances anti-tumor efficacy. Theranostics. 2019;9:7948–7960. doi: 10.7150/thno.39203. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Choi J, Beaino W, Fecek RJ, Fabian KPL, Laymon CM, Kurland BF, et al. Combined VLA-4-targeted radionuclide therapy and immunotherapy in a mouse model of melanoma. J Nucl Med. 2018;59:1843–1849. doi: 10.2967/jnumed.118.209510. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Yordanova A, Eppard E, Kürpig S, Bundschuh RA, Schönberger S, Gonzalez-Carmona M, et al. Theranostics in nuclear medicine practice. Onco Targets Ther. 2017;10:4821–4828. doi: 10.2147/OTT.S140671. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Low PS, Henne WA, Doorneweerd DD. Discovery and development of folic-acid-based receptor targeting for imaging and therapy of cancer and inflammatory diseases. Acc Chem Res. 2008;41:120–129. doi: 10.1021/ar7000815. [DOI] [PubMed] [Google Scholar]
- 22.Müller C, Schibli R. Folic acid conjugates for nuclear imaging of folate receptor-positive cancer. J Nucl Med. 2011;52:1–4. doi: 10.2967/jnumed.110.076018. [DOI] [PubMed] [Google Scholar]
- 23.Müller C, Struthers H, Winiger C, Zhernosekov K, Schibli R. DOTA conjugate with an albumin-binding entity enables the first folic acid-targeted 177Lu-radionuclide tumor therapy in mice. J Nucl Med. 2013;54:124–131. doi: 10.2967/jnumed.112.107235. [DOI] [PubMed] [Google Scholar]
- 24.Haller S, Reber J, Brandt S, Bernhardt P, Groehn V, Schibli R, et al. Folate receptor-targeted radionuclide therapy: preclinical investigation of anti-tumor effects and potential radionephropathy. Nucl Med Biol. 2015;42:770–779. doi: 10.1016/j.nucmedbio.2015.06.006. [DOI] [PubMed] [Google Scholar]
- 25.Siwowska K, Haller S, Bortoli F, Benesova M, Groehn V, Bernhardt P, et al. Preclinical comparison of albumin-binding radiofolates: impact of linker entities on the in vitro and in vivo properties. Mol Pharma. 2017;14:523–532. doi: 10.1021/acs.molpharmaceut.6b01010. [DOI] [PubMed] [Google Scholar]
- 26.Parker N, Turk MJ, Westrick E, Lewis JD, Low PS, Leamon CP. Folate receptor expression in carcinomas and normal tissues determined by a quantitative radioligand binding assay. Anal Biochem. 2005;338:284–293. doi: 10.1016/j.ab.2004.12.026. [DOI] [PubMed] [Google Scholar]
- 27.Low PS, Kularatne SA. Folate-targeted therapeutic and imaging agents for cancer. Curr Opinion Chem Biol. 2009;13:256–262. doi: 10.1016/j.cbpa.2009.03.022. [DOI] [PubMed] [Google Scholar]
- 28.Assaraf YG, Leamon CP, Reddy JA. The folate receptor as a rational therapeutic target for personalized cancer treatment. Drug Resist Update. 2014;17:89–95. doi: 10.1016/j.drup.2014.10.002. [DOI] [PubMed] [Google Scholar]
- 29.O'Shannessy DJ, Somers EB, Maltzman J, Smale R, Fu YS. Folate receptor alpha (FRA) expression in breast cancer: identification of a new molecular subtype and association with triple negative disease. Springerplus. 2012;1:22. doi: 10.1186/2193-1801-1-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Zhang Z, Wang J, Tacha DE, Li P, Bremer RE, Chen H, et al. Folate receptor alpha associated with triple-negative breast cancer and poor prognosis. Arch Pathol Lab Med. 2014;138:890–895. doi: 10.5858/arpa.2013-0309-OA. [DOI] [PubMed] [Google Scholar]
- 31.Necela BM, Crozier JA, Andorfer CA, Lewis-Tuffin L, Kachergus JM, Geiger XJ, et al. Folate receptor-alpha (FOLR1) expression and function in triple negative tumors. PLoS One. 2015;10:e0122209. doi: 10.1371/journal.pone.0122209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Aboulhagag NAE, Torky RF, Fadel SA. Folate receptor alpha is associated with poor clinicopathological perspectives in breast carcinoma. Pathophysiology. 2018;25:71–76. doi: 10.1016/j.pathophys.2018.01.002. [DOI] [PubMed] [Google Scholar]
- 33.Norton N, Youssef B, Hillman DW, Nassar A, Geiger XJ, Necela BM, et al. Folate receptor alpha expression associates with improved disease-free survival in triple negative breast cancer patients. NPJ Breast Cancer. 2020;6:4. doi: 10.1038/s41523-020-0147-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Oehler-Janne C, Jochum W, Riesterer O, Broggini-Tenzer A, Caravatti G, Vuong V, et al. Hypoxia modulation and radiosensitization by the novel dual EGFR and VEGFR inhibitor AEE788 in spontaneous and related allograft tumor models. Mol Cancer Ther. 2007;6:2496–2504. doi: 10.1158/1535-7163.MCT-07-0253. [DOI] [PubMed] [Google Scholar]
- 35.Riesterer O, Oehler-Janne C, Jochum W, Broggini-Tenzer A, Vuong V, Pruschy M. Ionizing radiation and inhibition of angiogenesis in a spontaneous mammary carcinoma and in a syngenic heterotopic allograft tumor model: a comparative study. Radiat Oncol. 2011;6:66. doi: 10.1186/1748-717X-6-66. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Morrison BW, Leder P. neu and ras initiate murine mammary tumors that share genetic markers generally absent in c-myc and int-2-initiated tumors. Oncogene. 1994;9:3417–3426. [PubMed] [Google Scholar]
- 37.Cefai D, Schwaninger R, Balli M, Brunner T, Gimmi CD. Functional characterization of Fas ligand on tumor cells escaping active specific immunotherapy. Cell Death Differ. 2001;8:687–695. doi: 10.1038/sj.cdd.4400862. [DOI] [PubMed] [Google Scholar]
- 38.Schmid MC, Bisoffi M, Wetterwald A, Gautschi E, Thalmann GN, Mitola S, et al. Insulin-like growth factor binding protein-3 is overexpressed in endothelial cells of mouse breast tumor vessels. Int J Cancer. 2003;103:577–586. doi: 10.1002/ijc.10874. [DOI] [PubMed] [Google Scholar]
- 39.Riesterer O, Honer M, Jochum W, Oehler C, Ametamey S, Pruschy M. Ionizing radiation antagonizes tumor hypoxia induced by antiangiogenic treatment. Clin Cancer Res. 2006;12:3518–3524. doi: 10.1158/1078-0432.CCR-05-2816. [DOI] [PubMed] [Google Scholar]
- 40.Guy CT, Webster MA, Schaller M, Parsons TJ, Cardiff RD, Müller WJ. Expression of the neu protooncogene in the mammary epithelium of transgenic mice induces metastatic disease. Proc Natl Acad Sci U S A. 1992;89:10578–10582. doi: 10.1073/pnas.89.22.10578. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Müller WJ, Arteaga CL, Muthuswamy SK, Siegel PM, Webster MA, Cardiff RD, et al. Synergistic interaction of the Neu proto-oncogene product and transforming growth factor alpha in the mammary epithelium of transgenic mice. Mol Cell Biol. 1996;16:5726–5736. doi: 10.1128/mcb.16.10.5726. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Siwowska K, Schmid RM, Cohrs S, Schibli R, Müller C. Folate receptor-positive gynecological cancer cells: in vitro and in vivo characterization. Pharmaceuticals (Basel). 2017:10. 10.3390/ph10030072. [DOI] [PMC free article] [PubMed]
- 43.Reddy JA, Xu LC, Parker N, Vetzel M, Leamon CP. Preclinical evaluation of 99mTc-EC20 for imaging folate receptor-positive tumors. J Nucl Med. 2004;45:857–866. [PubMed] [Google Scholar]
- 44.Müller C, Forrer F, Schibli R, Krenning EP, de Jong M. SPECT study of folate receptor-positive malignant and normal tissues in mice using a novel 99mTc-radiofolate. J Nucl Med. 2008;49:310–317. doi: 10.2967/jnumed.107.045856. [DOI] [PubMed] [Google Scholar]
- 45.Salvat F. PENELOPE2014: a code system for Monte-Carlo simulation of electron and photon transport. OECD/NEA Data Bank: NEA/NSC/DOC. 2015;3.
- 46.Rouanet J, Benboubker V, Akil H, Hennino A, Auzeloux P, Besse S, et al. Immune checkpoint inhibitors reverse tolerogenic mechanisms induced by melanoma targeted radionuclide therapy. Cancer Immunol Immunother. 2020. 10.1007/s00262-020-02606-8. [DOI] [PMC free article] [PubMed]
- 47.Hernandez R, Walker KL, Grudzinski JJ, Aluicio-Sarduy E, Patel R, Zahm CD, et al. 90Y-NM600 targeted radionuclide therapy induces immunologic memory in syngeneic models of T-cell non-Hodgkin's lymphoma. Commun Biol. 2019;2:79. doi: 10.1038/s42003-019-0327-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Nesseler JP, Lee MH, Nguyen C, Kalbasi A, Sayre JW, Romero T, et al. Tumor size matters-understanding concomitant tumor immunity in the context of hypofractionated radiotherapy with immunotherapy. Cancers (Basel). 2020;12. 10.3390/cancers12030714. [DOI] [PMC free article] [PubMed]
- 49.Zhang SC, Hu ZQ, Long JH, Zhu GM, Wang Y, Jia Y, et al. Clinical implications of tumor-infiltrating immune cells in breast cancer. J Cancer. 2019;10:6175–6184. doi: 10.7150/jca.35901. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Yu JW, Bhattacharya S, Yanamandra N, Kilian D, Shi H, Yadavilli S, et al. Tumor-immune profiling of murine syngeneic tumor models as a framework to guide mechanistic studies and predict therapy response in distinct tumor microenvironments. PloS one. 2018;13:e0206223. doi: 10.1371/journal.pone.0206223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Wen FT, Thisted RA, Rowley DA, Schreiber H. A systematic analysis of experimental immunotherapies on tumors differing in size and duration of growth. Oncoimmunology. 2012;1:172–178. doi: 10.4161/onci.1.2.18311. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Wu Y, Pfeifer AK, Myschetzky R, Garbyal RS, Rasmussen P, Knigge U, et al. Induction of anti-tumor immune responses by peptide receptor radionuclide therapy with 177Lu-DOTATATE in a murine model of a human neuroendocrine tumor. Diagnostics (Basel) 2013;3:344–355. doi: 10.3390/diagnostics3040344. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Betzel T, Müller C, Groehn V, Müller A, Reber J, Fischer CR, et al. Radiosynthesis and preclinical evaluation of 3′-aza-2′-[18F]fluorofolic acid: a novel PET radiotracer for folate receptor targeting. Bioconjug Chem. 2013;24:205–214. doi: 10.1021/bc300483a. [DOI] [PubMed] [Google Scholar]
- 54.Gnesin S, Müller J, Burger IA, Meisel A, Siano M, Fruh M, et al. Radiation dosimetry of 18F-AzaFol: a first in-human use of a folate receptor PET tracer. EJNMMI Res. 2020;10:32. doi: 10.1186/s13550-020-00624-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Kong G, Hicks RJ. Peptide receptor radiotherapy: current approaches and future directions. Curr Treat Options in Oncol. 2019;20:77. doi: 10.1007/s11864-019-0677-7. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.