PuSH - Publikationsserver des Helmholtz Zentrums München: Probing field cancerization in the gastrointestinal tract using a hybrid raman and partial wave spectroscopy microscope.

Informationen

Hinweise zu Qualitätskriterien von Zeitschriften

Open-Access-Richtlinie der Helmholtz-Gemeinschaft 2016

CC Licencences

Metriken für Publikationen

Navigation

Startseite

English

EVA: Veröffentlichen

Neuer EVA Antrag

Recherche

Erweiterte Suche

Durchblättern nach ...

... HMGU-Autoren/Konsortien

... Organisationsstruktur

... Zeitschriften

... Publikationstypen

... Forschungsdaten

... Arbeitsgruppen

... Erscheinungsjahr

Publikationen im Überblick

Statistik

HGF Fortschrittsbericht

OA Publikationen

Eintragen

Neue Publikation eintragen

Neue Publikation holen aus...

...EVA

Fehlende Publikation melden

Highlights

Suche

Hilfe & Kontakt

Ansprechpartner

Hilfe

Datenschutz

Helmholtz Open Science

Bibliometrische Indikatoren

SHERPA/RoMEO

DOAJ

Export:

Text

Endnote (RIS) BIB

BibTeX

Kriukova, E. ; Mazurenka, M. ; Marcazzan, S. ; Tschurtschenthaler, M.* ; Puppels, G.J.* ; Glasl, S. ; Saur, D.* ; Jesinghaus, M.* ; Pouliou, M.* ; Agelopoulos, M.* ; Klinakis, A.* ; Quante, M.* ; Ripoll, J.* ; Ntziachristos, V. ; Gorpas, D.

Probing field cancerization in the gastrointestinal tract using a hybrid raman and partial wave spectroscopy microscope.

Anal. Chem. 97, 12642-12653 (2025)

Verlagsversion

Forschungsdaten

DOI

PMC

	Open Access Hybrid

Abstract
Metriken
Zusatzinfos

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^fl/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, Apc^fl/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, Apc^fl/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.

Impact Factor

Scopus SNIP

Altmetric

6.700

0.000