Background: Neoantigens arising from somatic mutations are attractive targets for cancer immunotherapy as they may be recognized as foreign by the immune system. RO7198457, a systemically administered RNA-Lipoplex iNeST was designed to stimulate T cell responses against neoantigens. A first-in-human Phase Ib study of RO7198457, in combination with the aPD-L1 antibody atezolizumab is being conducted in patients with locally advanced or metastatic solid tumors. Methods: RO7198457 is manufactured on a per-patient basis and contains up to 20 tumor-specific neoepitopes. Nine doses of RO7198457 were administered i.v. in weekly and bi-weekly intervals during the 12-week induction stage and every 24 weeks during the maintenance stage. Atezolizumab 1200 mg was administered on Day 1 of each 21-day cycle. Results: In total, 132 patients enrolled in cohorts with doses ranging from 15-50 μg RO7198457 in combination with atezolizumab. Most common tumor types were NSCLC, TNBC, melanoma and CRC. The median number of prior therapies was 3 (range 1-11). 39% of patients received prior immunotherapy. Most patients had low levels of PD-L1 expression (93% patients with <5% PD-L1 expression on tumor cells, 79% patients with <5% expression on immune cells). The median number of RO7198457 doses received was 8; 16% of patients discontinued due to PD prior to completing 6 weeks of therapy. The majority of adverse events (AE) were Grade 1-2. AEs occurring in ≥ 15% of patients included infusion related reaction (IRR)/cytokine release syndrome (CRS), fatigue, nausea and diarrhea. IRR/CRS were transient and reversible and presented primarily as Grade 1-2 chills and fever. There were no DLTs. Seven patients (5%) discontinued treatment due to AEs related to study drugs. RO1798457 induced pulsatile release of pro-inflammatory cytokines with each dose, consistent with the innate immune agonist activity of the RNA. RO7198457 induced neoantigen-specific T cell responses were observed in peripheral blood in 37/49 (77%) patients by ex vivo ELISPOT or MHC multimer analysis. Induction of up to 6% MHC multimer-stained CD8+ T-cells with memory phenotype was observed in peripheral blood. RO7198457-induced T cells against multiple neoantigens that were detected in post-treatment tumor biopsies. Of 108 patients who underwent at least one tumor assessment, 9 responded (ORR 8%, including 1 CR) and 53 had SD (49%). Conclusion: RO7198457 in combination with atezolizumab has a manageable safety profile consistent with the mechanisms of action of the study drugs and induces significant levels of neoantigen-specific immune responses. A randomized Ph2 study of RO7198457 1L melanoma patients in combination with pembrolizumab has been initiated, and two randomized clinical trials are planned for the adjuvant treatment of patients with NSCLC and CRC. Citation Format: Juanita S. Lopez, Ross Camidge, Marco Iafolla, Sylvie Rottey, Martin Schuler, Matthew Hellmann, Ani Balmanoukian, Luc Dirix, Michael Gordon, Ryan Sullivan, Brian S. Henick, Charles Drake, Kit Wong, Patricia LoRusso, Patrick Ott, Lawrence Fong, Aglaia Schiza, Jeffery Yachnin, Christian Ottensmeier, Fadi Braiteh, Johanna Bendell, Rom Leidner, George Fisher, Guy Jerusalem, Laura Molenaar-Kuijsten, Marcus Schmidt, Scott A. Laurie, Raid Aljumaily, Achim Rittmeyer, Eelke Gort, Ignacio Melero, Lars Mueller, Rachel Sabado, Patrick Twomey, Jack Huang, Manesh Yadav, Jingbin Zhang, Felicitas Mueller, Evelyna Derhovanessian, Ugur Sahin, Özlem Türeci, Thomas Powles. A phase Ib study to evaluate RO7198457, an individualized Neoantigen Specific immunoTherapy (iNeST), in combination with atezolizumab in patients with locally advanced or metastatic solid tumors [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr CT301.

Many oral anticancer drugs are metabolized by CYP3A. Clinical drug-drug interaction (DDI) studies often only examine the effect of strong CYP3A inhibitors and inducers. The effect of moderate or weak inhibitors or inducers can be examined using physiologically based pharmacokinetic simulations, but data from these simulations are not always available early after approval of a drug. In this review we provide recommendations for clinical practice on how to deal with DDIs of oral anticancer drugs if only data from strong CYP3A inhibitors or inducers is available. These recommendations were based on reviewed data of oral anticancer drugs primarily metabolized by CYP3A and approved for the treatment of solid tumors from January 1st, 2013 to December 31st, 2015. In addition, three drugs that were registered before the new EMA guideline was issued (i.e., everolimus, imatinib, and sunitinib), were reviewed. DDIs are often complex, but if no data is available from moderate CYP3A inhibitors/inducers, a change in exposure of 50% compared with strong inhibitors/inducers can be assumed. No a priori dose adaptations are indicated for weak inhibitors/inducers, because their interacting effect is small. In case pharmacologically active metabolites are involved, the metabolic pathway, the ratio of the parent to the metabolites, and the potency of the metabolites should be taken into account.

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There is a lack of understanding whether plasma levels of anticancer drugs (such as pazopanib) correlate with intra-tumoral levels and whether the plasma compartment is the best surrogate for pharmacokinetic and pharmacodynamic evaluation. Therefore, we aimed to quantify pazopanib concentrations in tumor tissue, to assess the correlation between tumor concentrations and plasma concentrations and between tumor concentrations and efficacy. In this clinical trial, non-metastatic STS patients were treated with neo-adjuvant concurrent radiotherapy and pazopanib. Plasma samples and tumor biopsies were collected, and pazopanib concentrations were measured using liquid chromatography-tandem mass spectrometry. Twenty-four evaluable patients were included. The median pazopanib tumor concentration was 19.2 µg/g (range 0.149–200 µg/g). A modest correlation was found between tumor concentrations and plasma levels of pazopanib (ρ = 0.41, p = 0.049). No correlation was found between tumor concentrations and percentage of viable tumor cells (p > 0.05); however, a trend towards less viable tumor cells in patients with high pazopanib concentrations in tumor tissue was observed in a categorical analysis. Possible explanations for the lack of correlation might be heterogeneity of the tumors and timing of the biopsy procedure.