Targeted Cellular Tracking of Pancreatic Cancer Cells via Magnetic Particle Spectroscopy (MPS)

<b>Objective:</b> Pancreatic cancer is an asymptomatic disease and, based on statistical studies, it is the fourth leading cause of cancer-related death. Pancreatic ductal adenocarcinoma (PDAC), which accounts for over 95% of pancreatic cancers, is typically detectable at advanced stages. Standard diagnostic methods include bloodbased tests and imaging. Standard diagnostic methods include blood-based tests and imaging. Biomarkers play a key role as indicators in blood tests, offering valuable insights into disease detection and monitoring. Mesothelin, a cell-surface glycoprotein, and vimentin, an intermediate filament protein, are promising biomarker candidates. <br><b>Methods:</b> In this study, these biomarkers were conjugated with magnetic nanoparticles (MNPs) and utilized for cellular tracking through magnetic particle spectroscopy (MPS). Capan-1 (a pancreatic cancer cell line) and bone marrow stem cells (BMSC) were treated with the targeted MNPs. Subsequently, MNP-labelled cells were evaluated with imaging modalities such as MPS and confocal microscopy. <br><b>Results:</b> In the case of the MPS modality, a home-made MPS device with a detection limit of 1 ng of MNPs was used. The results showed that MPS can quantitatively trace MNPs signals and differentiate between various treatments. <br><b>Conclusions:</b> Detection of labelled cells via MPS is a novel method with features such as sensitivity, non-invasiveness, and no background noise. This new technology can pave the way for imaging quantification of pancreatic cancer in its primary stages and for tracking cancer cell populations. populations.

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Publication Details

Journal
Bio-Algorithms and Med-Systems
Published
2024-12-27
DOI
https://doi.org/10.5604/01.3001.0054.9363
Primary Topic
Cancer Research and Treatment
Type
article
Field-Weighted Citation Impact
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article

Targeted Cellular Tracking of Pancreatic Cancer Cells via Magnetic Particle Spectroscopy (MPS)

Ali Dinari, Hafiz Ahmad, Jungwon Yoon, Seung‐Jun Oh et al.
Bio-Algorithms and Med-Systems
Cancer Research and Treatment
article

Targeted Cellular Tracking of Pancreatic Cancer Cells via Magnetic Particle Spectroscopy (MPS)

Ali Dinari, Hafiz Ahmad, Jungwon Yoon, Seung‐Jun Oh, Minh Phú Bùi, Yun‐Hee Kim, Daehong Kim
article en

Abstract

<b>Objective:</b> Pancreatic cancer is an asymptomatic disease and, based on statistical studies, it is the fourth leading cause of cancer-related death. Pancreatic ductal adenocarcinoma (PDAC), which accounts for over 95% of pancreatic cancers, is typically detectable at advanced stages. Standard diagnostic methods include bloodbased tests and imaging. Standard diagnostic methods include blood-based tests and imaging. Biomarkers play a key role as indicators in blood tests, offering valuable insights into disease detection and monitoring. Mesothelin, a cell-surface glycoprotein, and vimentin, an intermediate filament protein, are promising biomarker candidates. <br><b>Methods:</b> In this study, these biomarkers were conjugated with magnetic nanoparticles (MNPs) and utilized for cellular tracking through magnetic particle spectroscopy (MPS). Capan-1 (a pancreatic cancer cell line) and bone marrow stem cells (BMSC) were treated with the targeted MNPs. Subsequently, MNP-labelled cells were evaluated with imaging modalities such as MPS and confocal microscopy. <br><b>Results:</b> In the case of the MPS modality, a home-made MPS device with a detection limit of 1 ng of MNPs was used. The results showed that MPS can quantitatively trace MNPs signals and differentiate between various treatments. <br><b>Conclusions:</b> Detection of labelled cells via MPS is a novel method with features such as sensitivity, non-invasiveness, and no background noise. This new technology can pave the way for imaging quantification of pancreatic cancer in its primary stages and for tracking cancer cell populations. populations.

Bio-Algorithms and Med-SystemsVol. 20(Special Issue)
Gwangju Institute of Science and Technology (KR), National Cancer Center (KR)
Openalex Percentile: Top 58%
Cancer Research and Treatment
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