Probing Field Cancerization in the Gastrointestinal Tract Using a Hybrid Raman and Partial Wave Spectroscopy Microscope

Field cancerization (FC) refers to spatially distributed premalignant tissue changes that lead to the appearance of local malignancy, and its detection can improve cancer screening. In this work, we employ combined Raman and partial wave spectroscopy (RS-PWS) to detect FC in gastroesophageal (L2-IL1B) and intestinal (Villin-Cre, Apc<sup>fl/wt</sup>) tumor mouse models. Using a hybrid RS-PWS microscope, we acquire both molecular and morphological information from macroscopically normal tumor-adjacent tissue and investigate the individual and combined performance of each modality. For data analysis, we use partial least-squares discriminant analysis (PLS-DA). In the normal tissue of L2-IL1B mice, we demonstrate a statistically significant increase (<i>p</i> < 0.001) in Raman band intensities associated with free amino acids and a decrease in bands associated with lipids (<i>p</i> < 0.005) and carotenoids (<i>p</i> < 0.001) compared to healthy controls. Similarly, in the normal mucosa of Villin-Cre, Apc<sup>fl/wt</sup> mice, the intensities of RS bands associated with amino acids increase significantly (<i>p</i> < 0.05) compared to controls, while the intensities of lipid-associated bands decrease significantly (<i>p</i> < 0.05). Transcriptomic profiling using RNA-sequencing analysis on these samples identified a significant correlation between gene expression and optical findings. Moreover, we demonstrate that combining RS and PWS data further improves the significance of our classification results. When macroscopically normal tumor-adjacent tissue is compared with tissue from healthy controls, we observe that PWS increases the <i>R</i><sup>2</sup> of RS results by ∼9% in L2-IL1B mice and ∼5% in Villin-Cre, Apc<sup>fl/wt</sup> mice. Combining molecular RS with structural PWS information enhances the ability to detect precancerous changes and provides insights into tissue alterations during cancer development.

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Journal
Analytical Chemistry
Published
2025-06-11
DOI
https://doi.org/10.1021/acs.analchem.5c00954
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Probing Field Cancerization in the Gastrointestinal Tract Using a Hybrid Raman and Partial Wave Spectroscopy Microscope

Jorge Ripoll, Marios Agelopoulos, Markus Tschurtschenthaler, Sabrina Marcazzan et al.
Analytical Chemistry
Spectroscopy Techniques in Biomedical and Chemical Research
article

Probing Field Cancerization in the Gastrointestinal Tract Using a Hybrid Raman and Partial Wave Spectroscopy Microscope

Jorge Ripoll, Marios Agelopoulos, Markus Tschurtschenthaler, Sabrina Marcazzan, Moritz Jesinghaus, Elena Kriukova, Gerwin J. Puppels, Dimitris Gorpas, Michael Quante, Vasilis Ntziachristos, Marialena Pouliou, Apostolos Klinakis, Dieter Saur, Mikhail Mazurenka, Sarah Glasl
article en

Abstract

Field cancerization (FC) refers to spatially distributed premalignant tissue changes that lead to the appearance of local malignancy, and its detection can improve cancer screening. In this work, we employ combined Raman and partial wave spectroscopy (RS-PWS) to detect FC in gastroesophageal (L2-IL1B) and intestinal (Villin-Cre, Apc<sup>fl/wt</sup>) tumor mouse models. Using a hybrid RS-PWS microscope, we acquire both molecular and morphological information from macroscopically normal tumor-adjacent tissue and investigate the individual and combined performance of each modality. For data analysis, we use partial least-squares discriminant analysis (PLS-DA). In the normal tissue of L2-IL1B mice, we demonstrate a statistically significant increase (<i>p</i> < 0.001) in Raman band intensities associated with free amino acids and a decrease in bands associated with lipids (<i>p</i> < 0.005) and carotenoids (<i>p</i> < 0.001) compared to healthy controls. Similarly, in the normal mucosa of Villin-Cre, Apc<sup>fl/wt</sup> mice, the intensities of RS bands associated with amino acids increase significantly (<i>p</i> < 0.05) compared to controls, while the intensities of lipid-associated bands decrease significantly (<i>p</i> < 0.05). Transcriptomic profiling using RNA-sequencing analysis on these samples identified a significant correlation between gene expression and optical findings. Moreover, we demonstrate that combining RS and PWS data further improves the significance of our classification results. When macroscopically normal tumor-adjacent tissue is compared with tissue from healthy controls, we observe that PWS increases the <i>R</i><sup>2</sup> of RS results by ∼9% in L2-IL1B mice and ∼5% in Villin-Cre, Apc<sup>fl/wt</sup> mice. Combining molecular RS with structural PWS information enhances the ability to detect precancerous changes and provides insights into tissue alterations during cancer development.

Analytical ChemistryVol. 97(24)
Philipps University of Marburg (DE), German Cancer Research Center (DE), Heidelberg University (DE), University Medical Center Freiburg (DE), TUM Klinikum (DE), Helmholtz Zentrum München (DE), Biomedical Research Foundation of the Academy of Athens (GR), Translational Research in Oncology (FR), Taipei Institute of Pathology (TW), Bioengineering Center (RU), Deutsches Konsortium für Translationale Krebsforschung (DE), Universidad Carlos III de Madrid (ES), Technical University of Munich (DE)
Technische Universität München, H2020 European Research Council
Openalex Percentile: Top 90%
Spectroscopy Techniques in Biomedical and Chemical Research
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