Literature DB >> 34549181

Tumor volumes as a predictor of response to the anti-EGFR antibody drug conjugate depatuxizumab mafadotin.

Hui K Gan1,2,3,4, Sagun Parakh1,2,5, Andrew B Lassman6, Aidan Seow7, Eddie Lau7,8, Sze Ting Lee1,2,4,7, Malaka Ameratunga3, Yuliya Perchyonok8, Diana Cao1, Ingrid J G Burvenich1,2, Graeme J O'Keefe7, Angela Rigopoulos1, Erica Gomez9, David Maag9, Andrew M Scott1,2,4,7.   

Abstract

BACKGROUND: The adverse impact of increasing brain tumor size on the efficacy of antibody-drug conjugates (ADCs) was investigated preclinically then validated with clinical data. METHODS—PRECLINICAL STUDY: The impact of tumor size on ADC tumor delivery and treatment response was evaluated in an EGFR-amplified patient-derived glioblastoma (GBM) model following treatment with Depatuxizumab mafadotin (Depatux-M). Biodistribution and imaging studies correlated drug distribution with starting treatment volume and anti-tumor activity. METHODS—CLINICAL STUDY: M12-356 was a Phase I study of Depatux-M in patients with GBM. Blinded volumetric analysis of baseline tumor volumes of M12-356 patients was undertaken by two reviewers and results correlated with response and survival.
RESULTS: Preclinically, imaging and biodistribution studies showed specific and significantly higher tumor uptake of zirconium-89 labeled Depatux-M (89Zr-Depatux-M) in mice with smaller tumor volume (~98 mm3) versus those with larger volumes (~365 mm3); concordantly, mice with tumor volumes ≤100 mm3 at treatment commencement had significantly better growth inhibition by Depatux-M (93% vs 27%, P < .001) and significantly longer overall survival (P < .0001) compared to tumors ≥400 mm3. Clinically, patients with tumor volumes <25 cm3 had significantly higher response rates (17% vs. 0%, P = .009) and longer overall survival (0.5 vs 0.89 years, P = .001) than tumors above 25 cm3.
CONCLUSION: Both preclinical and clinical data showed intra-tumoral concentration and efficacy of Depatux-m inversely correlated with tumor size. This finding merit further investigation with pretreatment tumor volume as a predictor for response to ADCs, in both gliomas and other solid tumors.
© The Author(s) 2021. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.

Entities:  

Keywords:  GBM; depatuxizumab mafadotin; tumor volume

Year:  2021        PMID: 34549181      PMCID: PMC8446913          DOI: 10.1093/noajnl/vdab102

Source DB:  PubMed          Journal:  Neurooncol Adv        ISSN: 2632-2498


Tumor volumes directly correlated to ADC tumour uptake and efficacy in preclinical models and in humans with brain tumors. Future trials of ADCs may consider restriction of eligibility and/or stratification by tumor volume in the study design. Little significant improvement in survival of GBM patients has been made in more than a decade. Many recent trials have investigated antibody and antibody-drug conjugates (ADCs) with disappointing results, often despite success in other tumor types. We show that tumor size directly impacts the deliverable drug concentration of ADCs in brain tumors, and tumor size has a significant impact on therapeutic response. As tumor size can be modulated through surgical or drug approaches, investigating this phenomenon further has implications for the development and use of all large therapeutic molecules in brain tumor patients. In addition, these findings extend beyond GBM as they may be applicable to ADCs and in other tumor types. There is increasing interest in the use of antibodies and antibody-based constructs in glioblastoma (GBM) trials.[1] As antibodies are large macromolecules, with a molecular weight of approximately 150 kDaltons,[2] barriers exist to penetration of brain tumors, even where there are breaches of the blood-brain barrier as seen in enhancing tumors of high-grade gliomas.[3] Concomitantly, other factors such as drug polarity and the presence of complex transport mechanisms may further impede drug penetration. Increased interstitial pressure observed in large tumors is likely one barrier. As GBMs increase in size, larger interstitial pressures develop due to high tumor cell density, increased vascular permeability, and impaired lymphatics.[4] This results in heterogeneous concentrations of drugs in different regions of the tumor.[5] Furthermore, other factors in larger tumors which adversely affect drug uptake including dysfunctional vascular networks and increasing areas of hypoperfusion.[6] We investigated the impact of tumor volume on treatment outcomes using the antibody-drug conjugate (ADC), Depatuxizumab mafodotin (Depatux-M previously ABT-414, AbbVie), both preclinically and clinically. Depatux-M comprises a tumor-specific epidermal growth factor receptor (EGFR) targeting antibody (Depatux, formerly mAb806) linked to the cytotoxin monomethyl auristatin F (MMAF). Importantly, the unconjugated antibody ABT-806 showed no conventional toxicities associated with inhibitors of EGFR signaling, like rash and diarrhea, and imaging of biodistribution of 111In-ABT-806 showed no normal tissue uptake, highlighting the tumor-specific characteristics of the targeting antibody.[7-9] Preclinical data showed in vivo activity of Depatux-M in tumor models with overexpression of wild-type EGFR, EGFR amplification, or EGFRvIII mutation.[10] In the three-arm phase I study (M12-356 study, NCT01800695), Depatux-M given concurrently with radiation therapy and temozolomide in patients with newly diagnosed GBM had an acceptable toxicity profile.[11] In the randomized phase II study, INTELLANCE 2/EORTC 1410,[12] patients with first recurrence GBM were randomised to Depatux-M with or without temozolomide, or lomustine only, or temozolomide only depending on the time of relapse. In this study, the combination of Depatux-M with temozolomide had a 1-year OS rate of 40% versus 28% with lomustine or temozolomide only (HR 0.68, P = .024). No OS difference was observed between Depatux-M monotherapy and temozolomide or lomustine (median OS 7.9 months). To investigate the impact of tumor size on Depatux-M therapeutic activity, we undertook biodistribution studies using zirconium-89 labeled Depatux-M (89Zr-Depatux-M) to quantitate drug concentration in large and small volume GBMs. We then correlated tumor size with growth inhibition in vivo following Depatux-M treatment. To validate our preclinical findings, we undertook a volumetric analysis of baseline tumor volumes in M12-356 patients and correlated results with patient response as the reduction in drug uptake in larger tumors could be reasonable expected to impact tumor response to Depatux-M. This differential response rate should also be reflected in patient survival, so we undertook to examine the relationship between tumor size and survival.

Methods

Preclinical Study

GBM1 tumors were established subcutaneously in NSG mice (Figure 1). Mice were divided into two groups of 20 each with either small (98 mm3 ± 20.9 mm3) or large (365 mm3 ± 0.9 mm3) tumors. In each group, 8 mice received treatment with either Depatux-M or an isotype IgG control ADC, and 2 mice were imaged with either 89Zr-Depatux-M or 89Zr-ADC-control (see Figure 1 and Supplementary Material). Mice were injected with 89Zr-Df-Depatux-M or the 89Zr-Df-control ADC respectively on the same day as mice in the therapy group commenced treatment with Depatux-M (Figure 1). Mice from the small size group received between 39–56.2 µg, 41–62.4 µCi 89Zr-Df-control ADC (n = 2), or 89Zr-Df- Depatux-M (n = 2) in 100 µl, via tail vein injection. Mice from the large size group received between 38.7–55.3 µg, 30.6–53.2 µCi 89Zr-Df-ADC-control (n = 2) or 89Zr-Df-Depatux-M (n = 2) via tail vein injection. 89Zr uptake in normal tissues and tumors was then assessed using PET imaging and MRI performed on a NanoScan PET/MRI (Mediso, Hungary) at the ACRF Centre for Translational Cancer Therapeutics and Imaging (Melbourne, Australia). For biodistribution, all mice were humanely sacrificed by isoflurane over-inhalation after the 168-hour imaging time point and tissues collected for assessment. All animal studies were approved by the Austin Health Animal Ethics Committee and were conducted in compliance with the Australian Code (8th Edition 2013) for the care and use of animals for scientific purposes.
Figure 1.

Study schema of in vivo bioimaging and therapy study.

Study schema of in vivo bioimaging and therapy study.

Clinical Study

To confirm our preclinical data, three reviewers (EL and AS as primary with adjudication as needed by AMS) undertook an independent volumetric analysis of baseline tumor volumes in brain MRI scans of patients treated with Depatux-M on the M12-356 study (Supplementary Figure 2). Manual segmentation of the MRI scans was performed using MIM MaestroTM (MIM Software Inc, Cleveland, OH) under the direction of experienced neuro-oncological radiologists (EL, YP) using 5mm slice thickness of post-gadolinium T1 weighted images (T1wGd) and FLAIR sequences. Precontrast T1 sequences reviewed but not segmented. All nonartefactual FLAIR abnormalities, including suspected edema, were segmented on the FLAIR sequence, with only enhancing disease segmented on T1wGd. The surgical cavity, cysts, and necrosis were not included as per RANO criteria.[13] In cases with multiple disease foci, all regions of interest were segmented. For each case, volumetric data on T1wGd and FLAIR images were documented. Responses were assessed per the RANO criteria in the original M12-356 study, which in brief, incorporate at least 50% reduction in cross-sectional area of contrast enhancement as part of definition of response and at least 25% increase for progressive disease. All clinical data were obtained as part of a clinical trial (NCT01800695) approved by a Human Ethics Committee.

Statistical Analysis

Data from in vivo experiments were analyzed using one-way ANOVA with posthoc Bonferroni correction for TGImax and the Mantel–Cox log-rank test for survival. Analyses were performed using Prism® Version 8.0 (GraphPad, CA). All P-values are two-sided and values ≤.05 were considered significant. Response rates were compared using chi-square and Fisher’s exact tests. Inter-rater correlation and agreement between measurements were assessed using Intraclass correlation coefficient (ICC).[14] ICC estimates were calculated using SPSS version 25 (SPSS Inc. Chicago, IL), two-way mixed-effects, single rater, consistency model. Overall survival was measured from the date of registration to the date of death from any cause. Kaplan-Meier estimates of OS from commencement of therapy were calculated separately for each group and compared using a log-rank test, where P-values ≤ .05 were considered statistically significant.

Results

Therapy Study with 89Zr-labeled Depatux-M

Half the mice commenced treatment on day 36 when the average tumor volume was <100 mm3 (98 ± 20.9 mm3) (Treatment at Small Size group). Depatux-M caused substantial and significant tumour growth inhibition (TGI) compared to control ADC (36.72 ± 6.14 mm3 vs. 511.02 ± 71.6 mm3; P < .001) with a TGImax of 93%. This result was consistent with multiple previous experiments using these drugs in this model, and other GBM models.[10] The remaining mice were treated on day 71 when their tumor size was 365 mm3 (Treatment at Large Size group). In this group, Depatux-M also caused significant growth inhibition compared to control ADC but of a lesser magnitude than in smaller tumors (434.95 ± 62.44 mm3 vs. 625.21 ± 67.28 mm3; P < .01); TGImax was only 27%, which was significantly less than 93% observed in the Treatment at Small Size group (P < .001).

Bioimaging and Biodistribution Studies with 89Zr-labeled Depatux-M

To investigate why the Large Size group showed a smaller TGI than the Small Size group, a combined imaging and biodistribution study was performed to investigate drug uptake at the smaller and larger tumor sizes. Mice were imaged on day 0, day 3, and day 7 postinjection of 89Zr-Depatux-M or 89Zr-Control ADC. Radioconjugates were successfully produced with the end of synthesis radiochemical purity > 98%, and high immunoreactivity for antigen positive U87MG.de2-7 cells with 89Zr-Df-Depatux-M (92.27 ± 6.50%). After the final imaging time point on Day 7, all mice were sacrificed and tumor uptake of 89Zr-Depatux-M and 89Zr-Control ADC were measured. Biodistribution data on Day 7 shows that 89Zr-Control ADC uptake in both the Small Size and Large Size group were low and not significantly different (5.49% ± 1.77 ID/g versus 4.69 ± 1.58 %ID/g respectively, P = .5054, Figure 2A and 2C). By contrast, tumor uptake of 89Zr-Depatux-M was significantly higher in the Smaller versus the Larger size group (20.93 ± 7.11 ID/g versus 10.67 ± 2.34 %ID/g respectively, P = .0047). In all groups, uptake in liver and bone was consistent with previous literature of 89Zr-Df metabolism in mice.[15]
Figure 2.

Biodistribution of 89Zr-Df- Depatux-M compared to 89Zr-Df-control ADC in vivo. Biodistribution of 89Zr-Df-Depatux-M in NSG mice bearing GBM patient derived xenografts on day 7 postinjection (bars; mean ± SD; n = 8); (A) Small tumor group (n = 8) and (B) Large tumour group (n = 6). (C) Tumor uptake of 89Zr-Df-Depatux-M on day 7 postinjection (bars; mean ± SD) in the small and large tumor groups versus control. **, P < .01; ***, P < .001.

Biodistribution of 89Zr-Df- Depatux-M compared to 89Zr-Df-control ADC in vivo. Biodistribution of 89Zr-Df-Depatux-M in NSG mice bearing GBM patient derived xenografts on day 7 postinjection (bars; mean ± SD; n = 8); (A) Small tumor group (n = 8) and (B) Large tumour group (n = 6). (C) Tumor uptake of 89Zr-Df-Depatux-M on day 7 postinjection (bars; mean ± SD) in the small and large tumor groups versus control. **, P < .01; ***, P < .001. Whole-body PET/MR images confirmed the biodistribution results, showing a higher uptake of 89Zr-Depatux-M in the tumors of the Smaller versus Larger size group (Figure 3A and 3B respectively). Similarly, to the biodistribution data, the corresponding bioimaging study whole-body PET/MR images showed higher uptake of 89Zr-Depatux-M in Smaller versus Larger size group (13.22 ± 5.27%ID/g versus 6.54 ± 1.11 %ID/g). By contrast, 89Zr-Control ADC uptake in both the Small Size and Large Size group were low and not significantly different (5.61% ± 0.83 %ID/g versus 4.71 ± 1.58 %ID/g respectively).
Figure 3.

PET/MR imaging with 89Zr-Df-ABT-414-ADC and 89Zr-Df-isotope control in (A) small versus (B) large tumours on D3 postinjection. White arrows indicate location of the tumours. Maximal uptake in the small tumors (A, PET image) is higher than that in the large tumors (B, PET image) confirmed on quantitative analysis.

PET/MR imaging with 89Zr-Df-ABT-414-ADC and 89Zr-Df-isotope control in (A) small versus (B) large tumours on D3 postinjection. White arrows indicate location of the tumours. Maximal uptake in the small tumors (A, PET image) is higher than that in the large tumors (B, PET image) confirmed on quantitative analysis. The M12-356 study (NCT01800695) was an open-label, phase I, 3-arm dose-escalation and expansion study: Arm A evaluated Depatux-M concurrently with radiation and temozolomide (TMZ) in newly diagnosed GBM, Arm B evaluated Depatux-M with TMZ in newly diagnosed GBM as adjuvant therapy as well as in recurrent GBM and Arm C evaluated Depatux-M as monotherapy in recurrent GBM (Supplementary Figure 2).[16-18] We obtained baseline MRI scans for all M12-356 patients and undertook a volumetric analysis of tumor volumes at study entry. For Arm A patients, these were the post-operative and preradiotherapy MRI scans. A total of 202 patients were included in the current analysis. Baseline demographic data are detailed in Table 1. The median age was 57 years, majority were male (59%) and majority (87%) had a Karnofsky performance scale ≥ 80. Tumors were EGFR amplified in 71% of patients and EGFRvIII mutant in 52%. Only 13% of those tested were MGMT promoter methylated.
Table 1.

Baseline Demographics

Demographics CharacteristicsN (%)
All patients202 (100)
Median age—years (range)(20–80)
Sex
 Male124 (59)
 Female78 (37)
Karnofsky Performance
 7022 (11)
 8060 (29)
 9079 (38)
 10041 (20)
EGFR amplification status
 Amplified148 (71)
 Not amplified45 (21)
 Unknown9 (4)
EGFRvIII mutation status
 Positive110 (52)
 Negative82 (39)
 Unknown10 (5)
MGMT methylation status
 Methylated28 (13)
 Unmethylated59 (28)
 Unknown115 (55)
Treatment arm A—Adjuvant
(Depatux-M in combination with radiation and temozolomide)45 (22)
 Arm A: Dose escalation24 (11)
 Arm A: Dose expansion21 (10)
Treatment arm B—Recurrent
(Depatux-M in combination with temozolomide)68 (34)
 Arm B: Dose escalation15 (7)
 Arm B: Dose expansion53 (25)
Treatment arm B—Adjuvant14 (7)
 Arm B: Adjuvant, Dose escalation14 (7)
Treatment arm C—Recurrent
(Depatux-M monotherapy)75(36)
 Arm C: Monotherapy75 (36)

EGFR, Epidermal growth factor receptor; MGMT, O6-methylguanine-DNA methyltransferase.

Baseline Demographics EGFR, Epidermal growth factor receptor; MGMT, O6-methylguanine-DNA methyltransferase. We showed that there was excellent inter-rater correlation for volumetric analysis using T1wGd and FLAIR images (kappa = 0.89, P < .0001 and kappa = 0.97, P < .0001 respectively). Importantly, we found that patients with EGFR amplified recurrent GBMs (n = 110) treated with Depatux-M, either alone (Arm C) or in combination with TMZ (Arm B), had significantly more responders in patients with tumor volumes < 25 cm3 compared to those ≥25 cm3 at study entry (response rate of 17% vs 0%, P = .009 two-sided). In fact, no patient with a ≥25 cm3 had a RANO response. When analyzing by arm, responses were also more frequent in smaller than larger tumors in Arm B (50 patients who received Depatux-M with temozolomide, response rate 24% vs 0%, P = .089 two-sided) and Arm C (60 patients who received Depatux-M alone, response rate 10% vs 0%, P = .287) but did not reach statistical significance in this underpowered posthoc exploratory subset analysis. Of note, most patients in this study had recently progressed (within 6 months) on TMZ and the likelihood of response to TMZ alone in this patient population would be low.[17] Patients in Arm A were not considered evaluable for response due to recent completion of radiotherapy. We also examined the impact of tumor volume on survival. Patients with newly diagnosed GBM (n = 41) enrolled on arms A and B whose tumor volumes were below 25 cm3 (post-operatively but before chemoradiotherapy), had a significantly longer median OS than those above 25 cm3 (2.0 vs 0.8 years; P = .006) respectively) (Figure 4A). In this cohort, analysis in the subset of patients with EGFR amplified tumors (n = 16) trended toward improved survival for patients with tumors volumes <25 cm3 than > 25 cm3 (1.8 vs 0.8 years, P = .28) (Figure 4B). Patients in Arms B and C with EGFR amplified recurrent GBMs (n = 110) with tumors < 25 cm3 had a longer median survival than patients with tumors ≥25 cm3 (0.81 vs 0.52 years, P = .001) (Figure 5A). This association of tumor volume and survival was also seen in patients on Arm C (n = 60), with tumor volumes < 25 cm3 significantly associated with longer OS (0.89 vs 0.50 years, P = .001) (Figure 5B).
Figure 4.

(A) Patients with newly diagnosed GBM on Arms A and B with tumor volumes below 25 cm3 had a significantly longer median OS than those above 25 cm3 (2.0 vs 0.8 years; P = .006 respectively). (B) Patients on Arms A and B with EGFR amplified tumor volumes below 25 cm3 had improved survival than those above 25 cm3 (1.8 vs 0.8 years respectively, P = .28)

Figure 5.

(A) Patients with rGBM on Arms B and C with tumor volumes below 25 cm3 had a significantly longer median OS than those above 25 cm3 (0.81 vs 0.52 years respectively; P = .001). (B) Patients with rGBM on Arm C with tumor volumes below 25 cm3 had significantly improved survival than those above 25 cm3 (0.89 vs 0.50 years respectively, P = .001)

(A) Patients with newly diagnosed GBM on Arms A and B with tumor volumes below 25 cm3 had a significantly longer median OS than those above 25 cm3 (2.0 vs 0.8 years; P = .006 respectively). (B) Patients on Arms A and B with EGFR amplified tumor volumes below 25 cm3 had improved survival than those above 25 cm3 (1.8 vs 0.8 years respectively, P = .28) (A) Patients with rGBM on Arms B and C with tumor volumes below 25 cm3 had a significantly longer median OS than those above 25 cm3 (0.81 vs 0.52 years respectively; P = .001). (B) Patients with rGBM on Arm C with tumor volumes below 25 cm3 had significantly improved survival than those above 25 cm3 (0.89 vs 0.50 years respectively, P = .001)

Discussion

To our knowledge, this is the first study to quantify the impact of tumor volume on the uptake, retention, and therapeutic efficacy of ADCs in brain tumors. Data to date would suggest that large tumors in other sites are associated with increased interstitial pressure, abnormal vasculature and lymphatics, increased rates of necrosis, and increase heterogeneity.[4-6,19] For example interstitial pressures in center of large tumors may be four-fold higher than for small tumors.[19] Our results strongly support our hypothesis that larger tumor size, with associated adverse features expected to reduce drug penetrance and uptake, resulted in significant reductions in the uptake of Depatux-M in preclinical models, with corresponding reduction in tumor growth inhibition. Clearly, this raises the possibility of the potential confounding influence of tumor volume on assessment of efficacy of Depatux-M. However, these findings have implications for the optimal integration of all ADCs or other large molecules in the management of GBM, strongly supporting strategies that would reduce tumor size and/or interstitial pressure to increase their efficacy. Furthermore, tumor size is rarely controlled for in many GBM trials and may contribute to underestimation of drug efficacy. Several strategies to mitigate the impact of larger tumors are potentially available. Bevacizumab results in vascular normalization, reduces vascular permeability, and has been shown to impact intra-tumoral drug distribution and potentially efficacy of ADCs when used in combination.[20] For example, platinum-resistant epithelial ovarian cancer xenograft models treated with the ADC Mirvetuximab soravtansine (IMGN853), a FRα-binding antibody linked to a tubulin-disrupting maytansinoid (DM4), in combination with bevacizumab resulted in significant tumor regression that was superior to either bevacizumab or the ADC alone in ovarian cancer.[21] It was postulated the presence of bevacizumab results in better tumor penetration and exposure to the ADC, resulting in more effective eradication of tumor cells. These findings support investigating anti-angiogenic and ADC combinatorial approaches to further enhance the therapeutic benefit of these agents. The ongoing phase Ib FORWARD II trial (NCT02606305) is evaluating the Mirvetuximab soravtansine in combination with bevacizumab in pts with platinum-resistant ovarian cancer.[22] Another approach would be simple debulking of the tumor prior to ADC treatment. Surgery at recurrence has shown to be associated with a survival advantage and has not shown to significantly affect the quality of life.[23-26] With evolving surgical techniques and better patient selection, more patients are then able to receive systemic therapy postoperatively.[25] A number of other experimental pharmacological and physical strategies have been investigated to reduce tumoral interstitial pressure including imatinib, paclitaxel, dexamethasone, angiotensin II, TGFβ inhibitors as well as hyperthermia, radiotherapy, photodynamic therapy, and focused ultrasound therapy.[27,28] Clearly, these findings require further validation, ideally in orthotopic models and including other drug treatment, followed by a prospective clinical trial if appropriate. We are currently undertaking additional work to investigate how tumor volume relates to traditional prognostic and predictive biomarkers in this nonrandomized phase 1 study. We are also currently seeking to confirm our findings with data from Depatux-M in the INTELLANCE 1 and 2 studies of Depatux-M in newly diagnosed and recurrent GBM, respectively, where the randomized designs would allow us to differentiate between the predictive impact of tumor volume on survival based on differential tumor efficacy compared to the well-known prognostic effects of tumor volume.[29-32] These analyses will provide us with definitive data as to whether tumor volume impacts drug delivery and patient outcomes. If our initial findings are confirmed, it will require a significant change in how future research and clinical trials are designed.

Conclusion

Increased tumor volumes result in significant reduction in ADC penetration in GBM preclinically and response in patients. The impact of this as a modifiable factor, within the broader prognostic impact of increased tumor volume, warrants further investigation with prospective and/or randomized trials. Click here for additional data file. Click here for additional data file. Click here for additional data file.
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