bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.10.13.758755

Spatial Tumour Tissue Distribution Dynamics of a Bicycle Peptide-MMAE Toxin Conjugate Profiled by Targeted Mass Spectrometry

Abstract

A highly specific-NECTIN-4 binding bicyclic peptide covalently linked to the cytotoxin monomethyl auristatin E (MMAE) via a valine-citrulline cleavable linker (zelenectide pevedotin, BT8009) is a promising modality to treat cancer patients with solid tumours. Although the pharmacokinetics and biodistribution of zelenectide pevedotin have been well characterised, a more precise view of tumour delivery and intra-tumoural distribution of its released payload is lacking. To address this, we have developed an approach to profile the spatial tumour and healthy tissue distribution of this anti-cancer agent using laser capture microdissection coupled to targeted liquid chromatography parallel reaction monitoring (LCM-LC-PRM) mass spectrometry. This LCM-assisted spatial pharmacology workflow enables the precise isolation of specific tissue regions, followed by high-resolution analysis of MMAE distribution at sub-tissue-specific levels. By identifying and optimising MS/MS-specific fragmentation ions for accurate and sensitive detection and quantitation of MMAE released from zelenectide pevedotin within tumour tissues, we observed progressive accumulation and sustained retention of MMAE in mouse tumour tissues over a period of 24 h. Conversely, in plasma, liver and muscle tissues, MMAE levels generally declined following early exposure, although inter-animal variability was observed. LCM-based intra-tumour spatial profiling revealed heterogeneous MMAE distribution between tumour cell-rich and stroma-rich regions, with distinct temporal patterns across compartments. Together, our spatial targeted MS method provided valuable insights into zelenectide pevedotin's payload distribution dynamics in vivo, thereby enhancing our understanding of its therapeutic potential and guiding the development of next-generation Bicycle Drug Conjugate (BDC).

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Ioannidi, M.-K., Davis, S., He, T., Hester, S., Rigby, M., Holding, F., Jeffrey, P., Skynner, M., Vendrell, I., Fischer, R., Kessler, B. M.. 2026-10-14. Spatial Tumour Tissue Distribution Dynamics of a Bicycle Peptide-MMAE Toxin Conjugate Profiled by Targeted Mass Spectrometry. https://doi.org/10.64898/2026.10.13.758755

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Spatial epigenomics reveals ancestry-associated regulatory states linked to aggressive prostate cancer biology

Prostate cancer (PCa) exhibits substantial biological heterogeneity, including population associated differences in tumor aggressiveness and clinical outcomes. Although socioeconomic and environmental factors contribute to these disparities, intrinsic tumor regulatory programs may also influence disease behavior. Here, we investigated whether differences in chromatin regulation contribute to distinct tumor states in Black and White men with localized PCa. We performed spatial chromatin accessibility profiling (ATAC-seq) of prostatectomy specimens from Black and White patients receiving equal healthcare access at the Center for Prostate Disease Research (USUHS) and Walter Reed National Military Medical Center. Tumors showed distinct chromatin accessibility landscapes between the two populations, with tumors from Black patients exhibiting reduced accessibility of motifs associated with the chromatin architectural regulator CTCF and enrichment of motifs linked to epithelial-mesenchymal transition and inflammatory programs. Reduced CTCF expression was independently validated by immunohistochemistry in 99 prostatectomy specimens. These findings identify population-associated differences in chromatin regulation in localized PCa and suggest that altered CTCF-associated regulation, inflammatory signaling, and epithelial plasticity may contribute to the biological heterogeneity underlying ancestry-dependent PCa disparities.

cancer biology↗

Domain-resolved epitope mapping of B7-H3-targeting VHH-Fcs defines isoform-selective binders for antibody-drug conjugate development

The immune checkpoint molecule B7-H3 has emerged as one of the most actively pursued therapeutic targets in solid tumors, and multiple B7-H3-targeting antibody-drug conjugates have entered clinical evaluation. B7-H3 occurs as a 2Ig isoform carrying a single IgV-IgC domain pair and a predominant 4Ig isoform carrying two tandem pairs of near-identical sequence in their extracellular domains. Resolving which pair an antibody engages, or how antibodies distinguish the two isoforms, requires epitope mapping at residue level. Here we generated a panel of six B7-H3-targeting VHH-Fcs and characterized them by surface plasmon resonance, epitope binning, domain-resolved deep mutational scanning and receptor internalization, benchmarked against the clinically advanced antibodies ifinatamab, mirzotamab and vobramitamab. Most VHH-Fcs bound the membrane-proximal pair more tightly than the distal pair, and 4Ig 10- to 100-fold more tightly than 2Ig, whereas the three clinical antibodies showed no such discrimination. Displaying each domain pair independently on yeast identified the residues that account for this selectivity. Internalization varied several-fold among binders, including between VHH-Fc 620 and 636, which have near-identical footprints and comparable affinities. VHH-Fc 620 internalized most efficiently, also compared to ifinatamab, and was conjugated to exatecan through a protease-cleavable linker. The conjugate showed B7-H3-dependent cytotoxicity that scaled with B7-H3 cell surface density, though it was less potent than ifinatamab-exatecan. Affinity, epitope and internalization therefore behaved as independent characteristics rather than integrating to predict antibody-drug conjugate potency. Together, these results define the molecular basis for isoform-selective recognition of B7-H3 and identify VHH-Fc 620 as a starting point for isoform-selective targeting.

cancer biology↗

Bioenergetic and Proteomic Profiling of ARID1A-Deficient Ovarian Clear Cell Carcinoma under Metabolic Challenge

ARID1A loss is associated with increased mitochondrial respiration in ovarian clear cell carcinoma (OCCC), but whether this phenotype is maintained under metabolic challenge remains unclear. Here, we examined mitochondrial function and electron transport chain (ETC) protein abundance in isogenic ARID1A wild-type (WT) and ARID1A-knockout (KO) OCCC cells cultured under physiological glucose, galactose, or the Complex I inhibitor IACS-010759. Across all conditions, KO cells maintained higher basal, ATP-linked, and maximal respiration, greater spare respiratory capacity, and higher coupling efficiency than WT cells, despite lower steady-state ATP levels. In human OCCC tumors, ARID1A-negative cases showed a higher bioenergetic cellular (BEC) index than ARID1A-positive cases, and high BEC was associated with poorer cancer-specific survival. Quantitative proteomics revealed a trend toward higher ETC complex abundance in KO cells, although whole-complex differences did not reach statistical significance. ARID1A loss was associated with selective increases in Complex III and V proteins, whereas metabolic challenge was associated with increases in Complex I and IV proteins. Together, these findings show that the ARID1A-associated mitochondrial phenotype persists across distinct metabolic challenges and is not explained simply by coordinated increases in ETC protein abundance. The association of mitochondrial bioenergetics with clinical outcomes further supports its relevance in human OCCC.

cancer biology↗