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LA-ICP-TOFMS Imaging Reveals Significant Influence of Cancer Cell Resistance on Oxaliplatin Compartmentalization in the Tumor Microenvironment

Publications: Contribution to journalArticlePeer Reviewed

Abstract

Chemoresistance in cancer cells, particularly in refractory types, such as colorectal cancer, poses a major challenge to effective treatment. In particular, the interaction between cancer cells and the tumor microenvironment (TME) has been shown to exert substantial influence on the efficacy of therapeutic agents. This study investigated whether an intrinsic resistance phenotype alters drug distribution in the TME using xenograft models derived from HCT116 colorectal cancer cells, including oxaliplatin (OxPt)-sensitive and OxPt-resistant (OxR) variants. Tumors were prepared as formalin-fixed paraffin-embedded (FFPE) sections, followed by single-cell analysis with laser ablation inductively coupled plasma time-of-flight mass spectrometry (LA-ICP-TOFMS). Based on histological evaluations, a panel of metal-conjugated antibodies was designed to target tissue architecture and distinct cell states within the TME. A dedicated calibration strategy was applied to accurately measure platinum (Pt) uptake in phenotypically defined single cells across both the tumor and its microenvironment. The results revealed substantial structural differences: HCT116/OxR tumors exhibited robust growth following drug administration, while parental tumors displayed extensive degradation. Notably, OxPt accumulated significantly in necrotic regions specific to HCT116/OxR, indicating resistance-dependent changes in drug compartmentalization. These findings suggest that an intrinsically resistant cancer cell phenotype is capable of markedly altering metal distributions within the TME.

Original languageEnglish
Pages (from-to)2619-2631
Number of pages13
JournalJACS Au
Volume5
Issue number6
DOIs
Publication statusPublished - 23 Jun 2025

Funding

FundersFunder number
Fonds zur Förderung der wissenschaftlichen Forschung (FWF)21206

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Austrian Fields of Science 2012

  • 104002 Analytical chemistry
  • 301904 Cancer research

Keywords

  • antitumor agents
  • bioimaging
  • chemoresistance
  • laser ablation
  • mass spectrometry
  • single-cell analysis

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