The utility of genomics and functional imaging to predict irinotecan pharmacokinetics and pharmacodynamics: The PREDICT IR study.

Authors

null

Michael Michael

Division of Cancer Medicine, Peter MacCallum Cancer Centre, Melbourne, Australia

Michael Michael , Winston Liauw , Sue-Anne McLACHLAN , Emma Link , Anetta Matera , Mick Thompson , Michael Jefford , Rodney J Hicks , Carleen Cullinane , Ian Campbell , Philip James Beale , Christos Stelios Karapetis , Timothy Price , Matthew E. Burge

Organizations

Division of Cancer Medicine, Peter MacCallum Cancer Centre, Melbourne, Australia, St. George's Hospital, Sydney, Australia, St. Vincent's Hospital, Melbourne, Australia, Peter MacCallum Cancer Centre, Melbourne, Australia, Department of Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Australia, Royal Prince Alfred Hospital, Camperdown, Australia, Flinders Medical Centre and Flinders Centre for Innovation in Cancer, Adelaide, Australia, The Queen Elizabeth Hospital Campus, CALHN, Woodville, Australia, Royal Brisbane and Women's Hospital, Herston, Australia

Research Funding

Other

Background: BSA-based dosing of Irinotecan (IR), does not account for its pharmacokinetic (PK) and pharmacodynamic (PD) variability. Given IR’s unique metabolism, functional hepatic nuclear imaging (HNI) with probes for hepatic transporters correlated with its PK. This study further evaluated the utility of HNI combined with extensive excretory/metabolic/PD pharmacogenomics (PG) to predict IR PK and PD in patients (pts) treated with FOLFIRI to enable dose individualization. Methods: Eligible pts had advanced colorectal cancer, suitable for 1st/2nd-line FOLFIRI± Bevacizumab. Pts had blood analyzed by Affymetrix DMET™ Plus Array and additional SNPs were genotyped. For HNI, pts were given IV 250MBq 99mTc-IDA and imaging data analyzed for hepatic extraction/excretion parameters (clearance [CL], 1hour retention [1hRET], deconvulutional CL [DeCL], hepatic extraction fraction [HEF]). Pts treated with chemotherapy, q2-weekly, and restaged after 4 cycles. Blood taken for IR and metabolite (SN38, SN38G) analysis on day 1 cycle 1, PK parameters derived by non-compartmental analysis. Statistical correlations were evaluated between (i) IDA HNI and (2) PGs, with IR PK, toxicity, objective response (ORR) and progression-free survival (PFS). Results: 32 pts analysed, 31 pts completed 4 cycles. (1) PK correlates: (a) HNI CL and 1hRET with SN38 Metabolic CL, (P = 0.04) and (b) HNI DeCL with IR AUC(0-∞) (P = 0.04). (2) Grade 3+ diarrhea (N = 4, 13%) predicted by SN38 AUC(0-∞) and Metabolic CL (P = 0.04), and gene variants for SCL22A2 and -28A3, ABCC2, UGT2B17, CYP2C18 and DPYD (P < 0.05). (3) Grade 3+ neutropenia (N = 9, 28%) predicted by SN38 PK exposure (P < 0.02), HNI CL and 1hRET (P < 0.0001) and variants for SLC7A7-, SLC22A2-, CHST1-, UGT1A1-, -2B7, ABCB1. (4) ORR (N = 6, 20%) predicted by Methylene tetrahydrofolate reductase (MTHFR) 677C > T (P = 0.002), SN38 exposure (P < 0.003), and variants in metabolic/transporter genes (P < 0.05). (5) PFS by SN38 PK exposure, MTHFR 677C > T, HNI CL, HNI HEF and variants in PK genes (P < 0.05). Conclusions: Hepatic functional imaging with extensive pharmacogenomics correlate with Irinotecan PK and PD enabling the development of nomograms to individualize dosing. Clinical trial information: ACTRN12610000898055.

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Abstract Details

Meeting

2017 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Developmental Therapeutics—Clinical Pharmacology and Experimental Therapeutics

Track

Developmental Therapeutics and Translational Research

Sub Track

Pharmacology

Clinical Trial Registration Number

ACTRN12610000898055

Citation

J Clin Oncol 35, 2017 (suppl; abstr 2564)

DOI

10.1200/JCO.2017.35.15_suppl.2564

Abstract #

2564

Poster Bd #

56

Abstract Disclosures