ArticleJournal of lipid research2026
Raman analysis of breast cancer-associated adipocytes: A chemometric pipeline for lipid biochemistry profiling.
Article in Journal of lipid research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
This study describes an integrated chemometric pipeline to analyse Raman spectra from breast tissue adipocytes, distinguishing Cancer associated adipocytes (CAAs) from normal adipocytes (NAs) and assessing the impact of obesity. Raman spectra were acquired from NAs and CAAs from the invasive front of breast tumor in 10 patients (5 normal weight, NW; 5 obese weight, OW). Extended Multiplicative Scatter Correction (EMSC) was adapted to correct carotenoid spectral interference. Random forest (RF) classifier was used for identifying discriminant wavenumbers and Uniform Manifold Approximation and Projection (UMAP) for visualization, with clustering quality assessed using silhouette scores. The results show the effectiveness of the pipeline in correcting the interferences and in identifying the key discriminant spectral regions. Informative wavenumbers highlighted differences in lipid unsaturation (C=C stretch at 1,655 cm
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