Co-administered antibody improves penetration of antibody-dye conjugate into human cancers with implications for antibody-drug conjugates
Guolan Lu, Naoki Nishio, Nynke S van den Berg, Brock A Martin, Shayan Fakurnejad, Stan van Keulen, Alexander D Colevas, Greg M Thurber, Eben L Rosenthal, Guolan Lu, Naoki Nishio, Nynke S van den Berg, Brock A Martin, Shayan Fakurnejad, Stan van Keulen, Alexander D Colevas, Greg M Thurber, Eben L Rosenthal
Abstract
Poor tissue penetration remains a major challenge for antibody-based therapeutics of solid tumors, but proper dosing can improve the tissue penetration and thus therapeutic efficacy of these biologics. Due to dose-limiting toxicity of the small molecule payload, antibody-drug conjugates (ADCs) are administered at a much lower dose than their parent antibodies, which further reduces tissue penetration. We conducted an early-phase clinical trial (NCT02415881) and previously reported the safety of an antibody-dye conjugate (panitumumab-IRDye800CW) as primary outcome. Here, we report a retrospective exploratory analysis of the trial to evaluate whether co-administration of an unconjugated antibody could improve the intratumoral distribution of the antibody-dye conjugate in patients. By measuring the multiscale distribution of the antibody-dye conjugate, this study demonstrates improved microscopic antibody distribution without increasing uptake (toxicity) in healthy tissue when co-administered with the parent antibody, supporting further clinical investigation of the co-administration dosing strategy to improve the tumor penetration of ADCs.
Conflict of interest statement
E.L.R. acts as consultant for LI-COR Biosciences Inc. and has equipment loans from this company. All other authors declare no competing interests.
Figures
References
- Minchinton AI, Tannock IF. Drug penetration in solid tumours. Nat. Rev. Cancer. 2006;6:583–592. doi: 10.1038/nrc1893.
- Lu G, et al. Predicting therapeutic antibody delivery into human head and neck cancers. Clin. Cancer Res. 2020;26:2582–2594. doi: 10.1158/1078-0432.CCR-19-3717.
- Martin JD, Cabral H, Stylianopoulos T, Jain RK. Improving cancer immunotherapy using nanomedicines: progress, opportunities and challenges. Nat. Rev. Clin. Oncol. 2020;17:251–266. doi: 10.1038/s41571-019-0308-z.
- Khongorzul P, Ling CJ, Khan FU, Ihsan AU, Zhang J. Antibody–drug conjugates: a comprehensive review. Mol. Cancer Res. 2020;18:3–19. doi: 10.1158/1541-7786.MCR-19-0582.
- Bartelink IH, et al. Tumor drug penetration measurements could be the neglected piece of the personalized cancer treatment puzzle. Clin. Pharmacol. Ther. 2019;106:148–163. doi: 10.1002/cpt.1211.
- Rhoden JJ, Wittrup KD. Dose dependence of intratumoral perivascular distribution of monoclonal antibodies. J. Pharm. Sci. 2012;101:860–867. doi: 10.1002/jps.22801.
- Cilliers C, Menezes B, Nessler I, Linderman J, Thurber GM. Improved tumor penetration and single-cell targeting of antibody–drug conjugates increases anticancer efficacy and host survival. Cancer Res. 2018;78:758–768. doi: 10.1158/0008-5472.CAN-17-1638.
- Nessler, I. et al. Increased tumor penetration of single-domain antibody drug conjugates improves in vivo efficacy in prostate cancer models. Cancer Res.80, 1268–1278 (2020).
- Thurber GM, Schmidt MM, Wittrup KD. Antibody tumor penetration: transport opposed by systemic and antigen-mediated clearance. Adv. Drug Deliv. Rev. 2008;60:1421–1434. doi: 10.1016/j.addr.2008.04.012.
- Castaigne S, et al. Effect of gemtuzumab ozogamicin on survival of adult patients with de-novo acute myeloid leukaemia (ALFA-0701): a randomised, open-label, phase 3 study. Lancet (Lond., Engl.) 2012;379:1508–1516. doi: 10.1016/S0140-6736(12)60485-1.
- Ribrag V, et al. A dose-escalation study of SAR3419, an anti-CD19 antibody maytansinoid conjugate, administered by intravenous infusion once weekly in patients with relapsed/refractory B-cell non-Hodgkin lymphoma. Clin. Cancer Res. 2014;20:213–220. doi: 10.1158/1078-0432.CCR-13-0580.
- Donaghy H. Effects of antibody, drug and linker on the preclinical and clinical toxicities of antibody-drug conjugates. mAbs. 2016;8:659–671. doi: 10.1080/19420862.2016.1156829.
- Cilliers C, Guo H, Liao J, Christodolu N, Thurber GM. Multiscale modeling of antibody-drug conjugates: connecting tissue and cellular distribution to whole animal pharmacokinetics and potential implications for efficacy. AAPS J. 2016;18:1117–1130. doi: 10.1208/s12248-016-9940-z.
- Singh AP, et al. Antibody coadministration as a strategy to overcome binding-site barrier for ADCs: a auantitative investigation. AAPS J. 2020;22:28. doi: 10.1208/s12248-019-0387-x.
- Gao RW, et al. Safety of panitumumab-IRDye800CW and cetuximab-IRDye800CW for fluorescence-guided surgical navigation in head and neck cancers. Theranostics. 2018;8:2488–2495. doi: 10.7150/thno.24487.
- Zinn KR, et al. IND-directed safety and biodistribution study of intravenously injected cetuximab-IRDye800 in cynomolgus macaques. Mol. Imaging Biol. 2015;17:49–57. doi: 10.1007/s11307-014-0773-9.
- Hamblett KJ, et al. Effects of drug loading on the antitumor activity of a monoclonal antibody drug conjugate. Clin. Cancer Res. 2004;10:7063–7070. doi: 10.1158/1078-0432.CCR-04-0789.
- Stylianopoulos T, Munn LL, Jain RK. Reengineering the physical microenvironment of tumors to improve drug delivery and efficacy: from mathematical modeling to bench to bedside. Trends Cancer. 2018;4:292–319. doi: 10.1016/j.trecan.2018.02.005.
- Fujimori K, Covell DG, Fletcher JE, Weinstein JN. A modeling analysis of monoclonal antibody percolation through tumors: a binding-site barrier. J. Nucl. Med. 1990;31:1191–1198.
- Thurber GM, Weissleder R. Quantitating antibody uptake in vivo: conditional dependence on antigen expression levels. Mol. Imaging Biol. 2011;13:623–632. doi: 10.1007/s11307-010-0397-7.
- Thurber, G. M. In Targeted radionuclide therapy (ed. Speer TW) 168–181 (Lippincott Williams and Wilkins, 2011).
- Lambert JM. Antibody–drug conjugates (ADCs): magic bullets at last! Mol. Pharmaceutics. 2015;12:1701–1702. doi: 10.1021/acs.molpharmaceut.5b00302.
- Hoffmann RM, et al. Antibody structure and engineering considerations for the design and function of antibody drug conjugates (ADCs) Oncoimmunology. 2017;7:e1395127–e1395127. doi: 10.1080/2162402X.2017.1395127.
- Nessler I, Khera E, Thurber GM. Quantitative pharmacology in antibody-drug conjugate development: armed antibodies or targeted small molecules? Oncoscience. 2018;5:161–163. doi: 10.18632/oncoscience.435.
- Wittrup KD. Antitumor antibodies can drive therapeutic T Cell responses. Trends Cancer. 2017;3:615–620. doi: 10.1016/j.trecan.2017.07.001.
- Rosenberg JE, et al. Study EV-103: preliminary durability results of enfortumab vedotin plus pembrolizumab for locally advanced or metastatic urothelial carcinoma. J. Clin. Oncol. 2020;38:441–441. doi: 10.1200/JCO.2020.38.6_suppl.441.
- Bardia A, et al. Sacituzumab govitecan-hziy in refractory metastatic triple-negative breast cancer. N. Engl. J. Med. 2019;380:741–751. doi: 10.1056/NEJMoa1814213.
- Modi S, et al. Trastuzumab deruxtecan in previously treated HER2-positive breast cancer. N. Engl. J. Med. 2020;382:610–621. doi: 10.1056/NEJMoa1914510.
- Moore K, et al. 992O - FORWARD I (GOG 3011): a phase III study of mirvetuximab soravtansine, a folate receptor alpha (FRa)-targeting antibody-drug conjugate (ADC), versus chemotherapy in patients (pts) with platinum-resistant ovarian cancer (PROC) Ann. Oncol. 2019;30:v403. doi: 10.1093/annonc/mdz250.
- Gao RW, et al. Determination of tumor margins with surgical specimen mapping using near-infrared fluorescence. Cancer Res. 2018;78:5144–5154. doi: 10.1158/0008-5472.CAN-18-0878.
- Nishio N, et al. Optimal dosing strategy for fluorescence gcuided surgery with panitumumab-IRDye800CW in head and neck cancer. Mol. Imaging Biol. 2020;22:156–164. doi: 10.1007/s11307-019-01358-x.
- Thurber GM, Dane Wittrup K. A mechanistic compartmental model for total antibody uptake in tumors. J. Theor. Biol. 2012;314:57–68. doi: 10.1016/j.jtbi.2012.08.034.
- Liu JF, et al. Phase I study of safety and pharmacokinetics of the anti-MUC16 antibody-drug conjugate DMUC5754A in patients with platinum-resistant ovarian cancer or unresectable pancreatic cancer. Ann. Oncol. 2016;27:2124–2130. doi: 10.1093/annonc/mdw401.
- Moore K, et al. Abstract CT036: targeting MUC16 with the THIOMAB TM-drug conjugate DMUC4064A in patients with platinum-resistant ovarian cancer: a phase I expansion study. Cancer Res. 2018;78:CT036–CT036.
- Baker JHE, et al. Direct visualization of heterogeneous extravascular distribution of trastuzumab in human epidermal growth factor receptor type 2 overexpressing xenografts. Clin. Cancer Res. 2008;14:2171–2179. doi: 10.1158/1078-0432.CCR-07-4465.
- Baker JHE, et al. Heterogeneous distribution of trastuzumab in HER2-positive xenografts and metastases: role of the tumor microenvironment. Clin. Exp. Metastasis. 2018;35:691–705. doi: 10.1007/s10585-018-9929-3.
- Gough A, et al. Biologically relevant heterogeneity: metrics and practical insights. SLAS Discov. 2017;22:213–237.
- Aerts HJWL, et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat. Commun. 2014;5:4006. doi: 10.1038/ncomms5006.
- Gu, Y. An Introduction to the Theory of Statistics. (Charles Griffin and Company 1911).
- Shannon, C. E., Weaver, W. The Mathematical Theory of Communication. (University of Illinois Press, 1949).
- Gonzalez, R. C., Woods, R. E. & Eddins, S. L. Digital Image Processing Using MATLAB. (Prentice-Hall, 2013).
- Boswell, C. A. et al. Biodistribution and efficacy of an anti-TENB2 antibody-drug conjugate in a patient-derived model of prostate cancer. Oncotarget10, 6234–6244 (2019).
- Boswell CA, et al. Differential effects of predosing on tumor and tissue uptake of an 111In-labeled anti-TENB2 antibody-drug conjugate. J. Nucl. Med. 2012;53:1454–1461. doi: 10.2967/jnumed.112.103168.
- Lee, H. et al. 64Cu-MM-302 Positron emission tomography quantifies variability of enhanced permeability and retention of nanoparticles in relation to treatment response in patients with metastatic breast cancer. Clin. Cancer Res.23, 4190–4202 (2017).
- Lindenberg L, et al. Dosimetry and first human experience with (89)Zr-panitumumab. Am. J. Nucl. Med. Mol. Imaging. 2017;7:195–203.
- Lamberts LE, et al. Antibody positron emission tomography imaging in anticancer drug development. J. Clin. Oncol. Oncol. 2015;33:1491–1504. doi: 10.1200/JCO.2014.57.8278.
- Solon EG. Autoradiography techniques and quantification of drug distribution. Cell Tissue Res. 2015;360:87–107. doi: 10.1007/s00441-014-2093-4.
- Stumpf WE. Whole-body and microscopic autoradiography to determine tissue distribution of biopharmaceuticals - target discoveries with receptor micro-autoradiography engendered new concepts and therapies for vitamin D. Adv. Drug Deliv. Rev. 2013;65:1086–1097. doi: 10.1016/j.addr.2012.11.008.
- Scott AM, et al. A phase I trial of humanized monoclonal antibody A33 in patients with colorectal carcinoma: biodistribution, pharmacokinetics, and quantitative tumor uptake. Clin. Cancer Res. 2005;11:4810–4817. doi: 10.1158/1078-0432.CCR-04-2329.
- Ilovich O, et al. Dual-isotope cryoimaging quantitative autoradiography: investigating antibody-drug conjugate distribution and payload delivery through imaging. J. Nucl. Med. 2018;59:1461–1466. doi: 10.2967/jnumed.118.207753.
- Heskamp S, et al. Noninvasive Imaging of Tumor PD-L1 Expression Using Radiolabeled Anti-PD-L1 Antibodies. Cancer Res. 2015;75:2928–2936. doi: 10.1158/0008-5472.CAN-14-3477.
- Bensch, F. et al. 89 Zr-atezolizumab imaging as a non-invasive approach to assess clinical response to PD-L1 blockade in cancer. Nat. Med.24, 1852–1858 (2018).
- Koller M, et al. Implementation and benchmarking of a novel analytical framework to clinically evaluate tumor-specific fluorescent tracers. Nat. Commun. 2018;9:3739. doi: 10.1038/s41467-018-05727-y.
- van Keulen S, et al. Rapid, non-invasive fluorescence margin assessment: optical specimen mapping in oral squamous cell carcinoma. Oral. Oncol. 2019;88:58–65. doi: 10.1016/j.oraloncology.2018.11.012.
- van Keulen S, et al. The sentinel margin: intraoperative ex vivo specimen mapping using relative fluorescence intensity. Clin. Cancer Res. 2019;25:4656–4662. doi: 10.1158/1078-0432.CCR-19-0319.
- de Jongh, S. J. et al. Back-table fluorescence-guided imaging for circumferential resection margin evaluation in locally advanced rectal cancer patients using bevacizumab-800CW. J. Nucl. Med.61, 655–661 (2019).
- Junutula JR, et al. Site-specific conjugation of a cytotoxic drug to an antibody improves the therapeutic index. Nat. Biotechnol. 2008;26:925–932. doi: 10.1038/nbt.1480.
- Conner KP, et al. Evaluation of near infrared fluorescent labeling of monoclonal antibodies as a tool for tissue distribution. Drug Metab. Dispos. 2014;42:1906–1913. doi: 10.1124/dmd.114.060319.
- Cilliers C, Nessler I, Christodolu N, Thurber GM. Tracking antibody distribution with near-infrared fluorescent dyes: impact of dye structure and degree of labeling on plasma clearance. Mol. Pharmaceutics. 2017;14:1623–1633. doi: 10.1021/acs.molpharmaceut.6b01091.
- Haber MA, et al. ERG is a novel and reliable marker for endothelial cells in central nervous system tumors. Clin. Neuropathol. 2015;34:117–127. doi: 10.5414/NP300817.
- Otsu N. A threshold selection method from gray-level histograms. IEEE Trans. Syst., Man, Cybern. 1979;9:62–66. doi: 10.1109/TSMC.1979.4310076.
- Thurber GM, Wittrup KD. Quantitative spatiotemporal analysis of antibody fragment diffusion and endocytic consumption in tumor spheroids. Cancer Res. 2008;68:3334–3341. doi: 10.1158/0008-5472.CAN-07-3018.
- Haralick RM, Shanmugam K, Dinstein I. Textural features for image classification. IEEE Trans. Syst., Man, Cybern. 1973;SMC-3:610–621. doi: 10.1109/TSMC.1973.4309314.
Source: PubMed