This page contains a Flash digital edition of a book.
Review Khot, Sharma & Shah A ADC sub-model p.o. Qpv Liver CL Hepatic clearance B Plasma B cells Lymph Node


Lung Heart Kidney Muscle Skin


Liver Brain


Adipose Thymus Bone Other Tumor


Plasma/blood flow Lymph flow


Other = stomach + bladder + gallbladder + thyroid...


Figure 5. Tissue PK models of antibody–drug conjugates. (A) Minimal PBPK model developed by Chen et al. to characterize the plasma PK of MMAE containing ADCs (anti-CD22-vc-MMAE and brentuximab-vedotin). The PBPK model has two submodels. The ADC submodel is for characterizing the systemic PK of ADC that is represented as antibody conjugated MMAE (acMMAE) concentrations. The payload submodel is for characterizing the systemic PK of unconjugated MMAE. (B) Representative structure of mAb PBPK model employed by Zhao et al. to characterize the systemic PK of anti-CD70 ADC. (C) Tissue level schematic of the PBPK model developed by Zhao et al. to characterize the disposition of anti-CD70 ADC SGN-75 and its released drug cys-mcMMAF in tissues and the tumor of a xenograft bearing mice. ADC: Antibody–drug conjugate; CL: Clearance; k: Transfer rate constant to a particular compartment; MMAE: Monomethyl auristatin-E; PBPK: Physiologically based PK; p.o.: Per-oral route of administration; PV: Portal vein; Q: Blood flow to a particular compartment. (A) Adapted from [21]. (B) Adapted from [23]. (C) Adapted from [22].


the released drug in the clinic, the model needs to be build and validated using the preclinical data. Therefore, the tissue concentrations data for the intact ADC and the released drug is required to build such models. It is technically challenging to employ ELISA or LC–MS-based methods to quantify ADC and unconjugated drug PK in tissues, and hence these studies are mostly performed using radiolabeled materials [15]. One such elegant study has been per- formed by Alley et al. [15] who investigated the tissue disposition of anti-CD70-mcMMAF ADC in tumor bearing mice, by labeling the mAb with 3


H and the 1640 Bioanalysis (2015) 7(13) drug with 14 C. They administered the dual radiola-


beled ADC to mice and analyzed the samples using a dual channel liquid scintillation counter to obtain total antibody and total MMAF concentrations. Zhao et al. [22] characterized the data using the PBPK model shown in Figure 5B & C. They employed an established PBPK model developed for mAb to char- acterize the PK of ADC [23,24], and then developed a separate small molecule PBPK model for the uncon- jugated drug cys-mcMMAF. Partition coefficients of cys-mcMMAF between plasma and different tissues were estimated, and cys-mcMMAF was assumed to


future science group Renal clearance C ADC Drug release ADC


S.I.=Du+Je+lle L.I.=Ce+Co Spleen


Pancreas Tumor Clearance


Clearance (tumor)


Tumor


Clearance (liver)


Convection


Lymph flow ADC + CD70


ADC–CD70 complex


Drug release Blood flow


Drug Diffusion


Drug + tubulin Blood flow Unconjugated drug


Qha Qh


Portal vein Qpv kout Central compartment kin IV Hepatic clearance (CYP3A metabolic CL + biliary CL) Liver Qh


Peripheral compartment


Qh kout Payload sub-model


Peripheral compartment


kin


Unconjugated MMAE in central compartment


CL acMMAE


Drug– tubulin complex


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89  |  Page 90  |  Page 91  |  Page 92  |  Page 93  |  Page 94  |  Page 95  |  Page 96  |  Page 97  |  Page 98  |  Page 99  |  Page 100  |  Page 101  |  Page 102  |  Page 103  |  Page 104  |  Page 105  |  Page 106  |  Page 107  |  Page 108  |  Page 109  |  Page 110  |  Page 111  |  Page 112  |  Page 113  |  Page 114  |  Page 115  |  Page 116  |  Page 117  |  Page 118  |  Page 119  |  Page 120  |  Page 121  |  Page 122  |  Page 123  |  Page 124  |  Page 125  |  Page 126  |  Page 127  |  Page 128  |  Page 129  |  Page 130  |  Page 131  |  Page 132  |  Page 133  |  Page 134  |  Page 135  |  Page 136  |  Page 137  |  Page 138  |  Page 139  |  Page 140  |  Page 141  |  Page 142  |  Page 143  |  Page 144  |  Page 145  |  Page 146  |  Page 147  |  Page 148  |  Page 149  |  Page 150  |  Page 151  |  Page 152  |  Page 153  |  Page 154