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@ARTICLE{Kriukova:302005,
author = {E. Kriukova and M. Mazurenka and S. Marcazzan and M.
Tschurtschenthaler$^*$ and G. Puppels and S. Glasl and D.
Saur$^*$ and M. Jesinghaus and M. Pouliou and M. Agelopoulos
and A. Klinakis and M. Quante and J. Ripoll and V.
Ntziachristos and D. Gorpas},
title = {{P}robing {F}ield {C}ancerization in the {G}astrointestinal
{T}ract {U}sing a {H}ybrid {R}aman and {P}artial {W}ave
{S}pectroscopy {M}icroscope.},
journal = {Analytical chemistry},
volume = {97},
number = {24},
issn = {0003-2700},
address = {Columbus, Ohio},
publisher = {American Chemical Society},
reportid = {DKFZ-2025-01204},
pages = {12642-12653},
year = {2025},
note = {2025 Jun 24;97(24):12642-12653},
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,
Apcfl/wt) 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 (p < 0.001) in Raman band
intensities associated with free amino acids and a decrease
in bands associated with lipids (p < 0.005) and carotenoids
(p < 0.001) compared to healthy controls. Similarly, in the
normal mucosa of Villin-Cre, Apcfl/wt mice, the intensities
of RS bands associated with amino acids increase
significantly (p < 0.05) compared to controls, while the
intensities of lipid-associated bands decrease significantly
(p < 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 R2 of RS results by $∼9\%$ in
L2-IL1B mice and $∼5\%$ in Villin-Cre, Apcfl/wt mice.
Combining molecular RS with structural PWS information
enhances the ability to detect precancerous changes and
provides insights into tissue alterations during cancer
development.},
cin = {MU01},
ddc = {540},
cid = {I:(DE-He78)MU01-20160331},
pnm = {899 - ohne Topic (POF4-899)},
pid = {G:(DE-HGF)POF4-899},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:40497475},
doi = {10.1021/acs.analchem.5c00954},
url = {https://inrepo02.dkfz.de/record/302005},
}