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Updated: Oct 9, 2026

High-definition Fourier Transform Infrared (FT-IR) Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology
Published on: January 21, 2015
Serum FTIR spectral features associated with HDRA-defined gemcitabine sensitivity in cholangiocarcinoma
Kanokporn Matra1, Patutong Chatchawal2, Molin Wongwattanakul2
1Biomedical Science Program, Graduate School, Khon Kaen University, Khon Kaen, Thailand; School of Medical Technology, Faculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen, Thailand.
Abstract:
Cholangiocarcinoma (CCA) exhibits diverse responses to chemotherapy, underscoring the need for drug sensitivity biomarkers. This proof-of-concept study utilized Fourier transform infrared (FTIR) spectral features to identify ex vivo gemcitabine sensitivity and resistance, as determined by the histoculture drug response assay (HDRA). We analyzed ten formalin-fixed paraffin-embedded tumor samples and 21 serum samples (including seven matched pairs) using synchrotron radiation-based FTIR microspectroscopy and attenuated total reflectance FTIR spectroscopy, respectively. Tissue and serum spectra were evaluated using partial least squares discriminant analysis and principal component analysis, respectively, alongside patient-level spectral ratio comparisons. Both sample types primarily displayed differences in the protein-associated amide I and II regions, with additional variations in carbohydrate- and nucleic acid-associated regions. Tissue spectra demonstrated partial group separation, while serum spectra showed exploratory separation with some overlap. Three serum intensity ratios (1633/1649 cm⁻¹, 1539/1649 cm⁻¹, and 1539/1633 cm⁻¹) remained significantly different after Benjamini-Hochberg correction (adjusted p = 0.041 for each), whereas no significant differences were observed in tissue ratios. Serum-based FTIR spectroscopy shows preliminary promise as a less invasive method for identifying spectral features linked to HDRA-defined gemcitabine sensitivity in CCA. However, these findings do not establish clinical predictive utility and require validation in larger cohorts with comprehensive treatment-response data.

