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Biology subjects

Wuest, M.

Publications and source records attributed to Wuest, M..

2 recordsLinked to original sources

Genetically-encoded discovery and development of peptide-macrocycle imaging agents for PD-L1

The unique cell surface composition of tumor cells forms the molecular basis for many targeting and cell-based therapies. Here, we describe the development of novel peptide-based targeting agents for programmed death ligand 1 (PD-L1). Molecular imaging by peptide agents, coupled with therapeutic intervention using the same modality, represents a critical advancement in cancer management. Whole-body PET imaging of PD-L1 expression offers a superior alternative to traditional immuno-histochemistry, making PD-L1 radiodiagnostic imaging a highly sought-after modality. PD-L1 targeting modalities developed for clinical imaging to date can be divided into antibodies, protein domains, and small macrocyclic peptides with fewer than 20 amino acids. The latter modalities can address many challenges seen in antibody-based targeting vectors. All potent PD-L1 targeting peptide modalities reported to date rely extensively on non-canonical amino acids (ncAAs). Here, we report a comprehensive structure-activity relationship (SAR) analysis of a family of macrocycles discovered from an Sx2Cx8Cx2 phage-display library composed entirely of natural amino acids (x represents 19 natural amino acids excluding Cys). Using >10,000 variants in ''focused'' phage-display libraries, we optimized these macrocycles to achieve single-digit-nanomolar potency in protein- and cell-based assays. En route to this optimization, the activity of 216 synthetic macrocycles towards PD-L1 was measured in five distinct assays; two leads have been evaluated by imaging in tumor xenografts in mice, and the X-ray structure of one advanced lead in complex with PD-L1 has been determined at 2.78 [A] resolution. This publication demonstrates the development potential of PD-L1-targeting macrocycles that do not require extensive incorporation of ncAAs and the democratization of discovery by mapping the optimization path to single-digit-nanomolar assets for targeted radiopharmaceuticals via canonical phage-display technology.

pharmacology and toxicology↗

FLT-PET as predictive non-invasive biomarker for neoadjuvant therapy with Wee1 and ATR inhibitors

Besides immunotherapy, inhibitors of the DNA damage response (DDR) are currently one of the most promising contributors to improved cancer therapy. They exploit elevated replicative stress in cancer cells and often rely on synthetic lethality with existing gene deficiencies or between targeted pathways. In view of the absence of reliable histological biomarkers for replicative stress, this study examined [18F]-fluorothymidine (FLT) positron emission tomography (PET) as alternative or complementary approach to predict treatment response to DDR inhibitors. Using orthotopic and syngeneic triple negative breast cancer mouse models and treatment with combined AZD6738 and AZD1775 (inhibiting ATR and Wee1, respectively) this study found that: a) Sequential [18F]FLT-PET in the early phase of treatment was able to predict ATR/Wee1 inhibitor treatment efficacy, whereas b) [18F]FLT tumor uptake at onset of therapy was unable to predict treatment outcome, despite c) [18F]FLT tumor uptake positively correlating with Ki-67 staining, the clinically used proliferation marker. Importantly, non-invasive monitoring of changes in tumor biology by [18F]FLT-PET predicted which tumor model responds to combined AZD6738/AZD1775 treatment and established a quantitative correlation in [18F]FLT tumor uptake with tumor shrinkage in individual responders. Since the inhibitors AZD6738 and AZD1775 are already in phase I/II clinical trials, this knowledge could soon be translated into the clinic. To our knowledge this is the first study to correlate non-invasive PET imaging with treatment efficacy of DDR inhibitors. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=100 SRC="FIGDIR/small/710900v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@1e18b7eorg.highwire.dtl.DTLVardef@8d306corg.highwire.dtl.DTLVardef@1663a21org.highwire.dtl.DTLVardef@7261c2_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗