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Cited by 276

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Classification of HER2 Receptor Status in Breast Cancer Tissues by MALDI Imaging Mass Spectrometry

Open access
Rauser, Sandra, Marquardt, Claudio, Balluff, Benjamin, Deininger, Sören-Oliver, Albers, Christian, Belau, Eckhard, Hartmer, Ralf, Suckau, Detlev, Specht, Katja, Ebert, Matthias Philip, Schmitt, Manfred, Aubele, Michaela, Höfler, Heinz, Walch, Axel·2010·Journal of Proteome Research
DOI 10.1021/pr901008d
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Abstract

Clinical laboratory testing for HER2 status in breast cancer tissues is critically important for therapeutic decision making. Matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) is a powerful tool for investigating proteins through the direct and morphology-driven analysis of tissue sections. We hypothesized that MALDI-IMS may determine HER2 status directly from breast cancer tissues. Breast cancer tissues (n = 48) predefined for HER2 status were subjected to MALDI-IMS, and protein profiles were obtained through direct analysis of tissue sections. Protein identification was performed by tissue microextraction and fractionation followed by top-down tandem mass spectrometry. A discovery and an independent validation set were used to predict HER2 status by applying proteomic classification algorithms. We found that specific protein/peptide expression changes strongly correlated with the HER2 overexpression. Among these, we identified m/z 8404 as cysteine-rich intestinal protein 1. The proteomic signature was able to accurately define HER2-positive from HER2-negative tissues, achieving high values for sensitivity of 83%, for specificity of 92%, and an overall accuracy of 89%. Our results underscore the potential of MALDI-IMS proteomic algorithms for morphology-driven tissue diagnostics such as HER2 testing and show that MALDI-IMS can reveal biologically significant molecular details from tissues which are not limited to traditional high-abundance proteins.

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Metadata

Authors
Rauser, S., Marquardt, C., Balluff, B., Deininger, S.-O., Albers, C., Belau, E., Hartmer, R., Suckau, D., Specht, K., Ebert, M. P., Schmitt, M., Aubele, M., Höfler, H., & Walch, A.
Venue
Journal of Proteome Research
Publisher
American Chemical Society (ACS)
Published
2010-03-05
Volume
9
Issue
4
Pages
1854-1863
ISSN
  • 1535-3893 (ISSN-L)
  • 1535-3907
DOI
10.1021/pr901008d
OpenAlex
W2057888153
Cited by
276
References
33
FWCI
16.44
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Classification of HER2 Receptor Status in Breast Cancer Tissues by MALDI Imaging Mass Spectrometry. https://app.cochat.ai/papers/10.1021/pr901008d
The paper
Rauser, S., Marquardt, C., Balluff, B., Deininger, S.-O., Albers, C., Belau, E., Hartmer, R., Suckau, D., Specht, K., Ebert, M. P., Schmitt, M., Aubele, M., Höfler, H., & Walch, A. (2010). Classification of HER2 Receptor Status in Breast Cancer Tissues by MALDI Imaging Mass Spectrometry. Journal of Proteome Research. https://doi.org/10.1021/pr901008d

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.