Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Chemical profiling of surviving cancer cells using ToF-SIMS and MCR analysis discriminates cell components

Manaprasertsak, Auraya LU ; Rydbergh, Robin ; Wu, Qicheng LU orcid ; Slyusarenko, Maria LU ; Carroll, Christopher LU ; Amend, Sarah R. ; Mohlin, Sofie LU orcid ; Pienta, Kenneth J. ; Malmberg, Per and Hammarlund, Emma U. LU (2025) In Analytical Methods 17(10). p.2263-2272
Abstract

Cancer cells survive treatment through mechanisms that remain unclear. This study investigates the chemical changes that occur in cancer cells after treatment, focusing on lipid metabolism as a potential marker for survival and resistance. Using Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) and advanced multivariate statistical analysis, we compared the chemical profiles of untreated and surviving cancer cells. Region-of-Interest (ROI) analysis revealed distinct differences in the lipid compartments, with surviving cancer cells showing significant accumulation of lipid droplets. While Principal Component Analysis (PCA) was able to differentiate the chemistry of untreated and surviving cancer cells as well as their cellular... (More)

Cancer cells survive treatment through mechanisms that remain unclear. This study investigates the chemical changes that occur in cancer cells after treatment, focusing on lipid metabolism as a potential marker for survival and resistance. Using Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) and advanced multivariate statistical analysis, we compared the chemical profiles of untreated and surviving cancer cells. Region-of-Interest (ROI) analysis revealed distinct differences in the lipid compartments, with surviving cancer cells showing significant accumulation of lipid droplets. While Principal Component Analysis (PCA) was able to differentiate the chemistry of untreated and surviving cancer cells as well as their cellular components, Multivariate Curve Resolution (MCR) provided a clearer and more detailed distinction, enabling the identification of specific cellular features such as the cytoplasm, nucleus, and lipid droplets within the surviving cells. The separation of the chemistry in nucleus and lipid droplets emphasizes the effectiveness in complex spectral analysis. Furthermore, the ability to map the distribution of lipid droplets in surviving cells can advance our understanding of how these structures contribute to cancer cell survival during treatment. The study highlights the importance of lipid droplets as potential biomarkers for cancer cell adaptation and survival post-treatment, with implications for developing new therapeutic strategies.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Analytical Methods
volume
17
issue
10
pages
10 pages
publisher
Royal Society of Chemistry
external identifiers
  • scopus:86000433824
  • pmid:39950433
ISSN
1759-9660
DOI
10.1039/d4ay02238f
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2025 The Royal Society of Chemistry.
id
a6bdaf05-e24a-493d-9c28-eec3e6bbfd9a
date added to LUP
2025-06-23 13:52:10
date last changed
2025-07-07 14:25:51
@article{a6bdaf05-e24a-493d-9c28-eec3e6bbfd9a,
  abstract     = {{<p>Cancer cells survive treatment through mechanisms that remain unclear. This study investigates the chemical changes that occur in cancer cells after treatment, focusing on lipid metabolism as a potential marker for survival and resistance. Using Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) and advanced multivariate statistical analysis, we compared the chemical profiles of untreated and surviving cancer cells. Region-of-Interest (ROI) analysis revealed distinct differences in the lipid compartments, with surviving cancer cells showing significant accumulation of lipid droplets. While Principal Component Analysis (PCA) was able to differentiate the chemistry of untreated and surviving cancer cells as well as their cellular components, Multivariate Curve Resolution (MCR) provided a clearer and more detailed distinction, enabling the identification of specific cellular features such as the cytoplasm, nucleus, and lipid droplets within the surviving cells. The separation of the chemistry in nucleus and lipid droplets emphasizes the effectiveness in complex spectral analysis. Furthermore, the ability to map the distribution of lipid droplets in surviving cells can advance our understanding of how these structures contribute to cancer cell survival during treatment. The study highlights the importance of lipid droplets as potential biomarkers for cancer cell adaptation and survival post-treatment, with implications for developing new therapeutic strategies.</p>}},
  author       = {{Manaprasertsak, Auraya and Rydbergh, Robin and Wu, Qicheng and Slyusarenko, Maria and Carroll, Christopher and Amend, Sarah R. and Mohlin, Sofie and Pienta, Kenneth J. and Malmberg, Per and Hammarlund, Emma U.}},
  issn         = {{1759-9660}},
  language     = {{eng}},
  month        = {{02}},
  number       = {{10}},
  pages        = {{2263--2272}},
  publisher    = {{Royal Society of Chemistry}},
  series       = {{Analytical Methods}},
  title        = {{Chemical profiling of surviving cancer cells using ToF-SIMS and MCR analysis discriminates cell components}},
  url          = {{http://dx.doi.org/10.1039/d4ay02238f}},
  doi          = {{10.1039/d4ay02238f}},
  volume       = {{17}},
  year         = {{2025}},
}