Article Text
Abstract
Objective Regorafenib demonstrated efficacy in patients with metastatic colorectal cancer (mCRC). Lack of predictive biomarkers, potential toxicities and cost-effectiveness concerns highlight the unmet need for better patient selection.
Design Patients with RAS mutant mCRC with biopsiable metastases were enrolled in this phase II trial. Dynamic contrast-enhanced (DCE) MRI was acquired pretreatment and at day 15 post-treatment. Median values of volume transfer constant (Ktrans), enhancing fraction (EF) and their product KEF (summarised median values of Ktrans× EF) were generated. Circulating tumour (ct) DNA was collected monthly until progressive disease and tested for clonal RAS mutations by digital-droplet PCR. Tumour vasculature (CD-31) was scored by immunohistochemistry on 70 sequential tissue biopsies.
Results Twenty-seven patients with paired DCE-MRI scans were analysed. Median KEF decrease was 58.2%. Of the 23 patients with outcome data, >70% drop in KEF (6/23) was associated with higher disease control rate (p=0.048) measured by RECIST V. 1.1 at 2 months, improved progression-free survival (PFS) (HR 0.16 (95% CI 0.04 to 0.72), p=0.02), 4-month PFS (66.7% vs 23.5%) and overall survival (OS) (HR 0.08 (95% CI 0.01 to 0.63), p=0.02). KEF drop correlated with CD-31 reduction in sequential tissue biopsies (p=0.04). RAS mutant clones decay in ctDNA after 8 weeks of treatment was associated with better PFS (HR 0.21 (95% CI 0.06 to 0.71), p=0.01) and OS (HR 0.28 (95% CI 0.07–1.04), p=0.06).
Conclusions Combining DCE-MRI and ctDNA predicts duration of anti-angiogenic response to regorafenib and may improve patient management with potential health/economic implications.
- regorafenib
- anti-angiogenic treatment
- cancer therapeutics
- DCE-MRI
- liquid biopsy
- colorectal cancer
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Footnotes
DC and NV contributed equally.
Contributors Trial design: KK, DC, IC, NV. Enrolment in the trial: KK, DC, SR, DW, NS, IC, NV. Data acquisition: KK, MR, D-MK, NT, JCH, GV, SH, SM, AL, MDD, HL, IR, AW, SAE, EF, DC, ZE, JT, RB, MB, MR, ET, MF, CB, NV. Statistical analysis: EZ. Writing and final approval of the manuscript: all the authors.
Funding This work was supported by Cancer Research UK(grant number CEA A18052), European Union FP7 (grant number CIG 334261) and theNational Institute for Health Research (NIHR) Biomedical Research Centre (BRC)at The Royal Marsden NHS Foundation Trust and The Institute of Cancer Research(grant numbers A62, A100, A101, A159) to NV, by a Bayer Oncology Group ResearchGrant to DC. The authors acknowledge support from the National Institute for HealthResearch Biomedical Research Centre at The Royal Marsden NHS Foundation Trustand The Institute of Cancer Research.
Competing interests DC received research funding from: Roche, Amgen, Celgene,Sanofi, Merck Serono, Novartis, AstraZeneca, Bayer, Merrimack and MedImmune. KK has had advisory role with Bayer. IC has had advisory roles with Merck Serono, Roche, Sanofi Oncology, Bristol Myers Squibb, Eli-Lilly, Novartis, Gilead Science. He has received research funding from Merck-Serono, Novartis, Roche and Sanofi Oncology, and honoraria from Roche, Sanofi-Oncology, Eli-Lilly, Taiho. All other authors declare no conflict of interest
Patient consent All the patients consented on trial consent forms as per trial protocol.
Provenance and peer review Not commissioned; externally peer reviewed.