Characterization of cancer-associated adipocytes by Raman spectroscopy and trajectory inference  

作　　者：Nicolas Goffin Emilie Buache Nathalie Lalun Marion Fernandes Ines Miguel Catherine Muller Charlotte Vaysse Landry Blanc Cyril Gobinet Olivier Piot 

机构地区：[1]Universitéde Reims Champagne-Ardenne,BioSpecT UR 7506,Reims,France [2]INSERM,Universitéde Reims Champagne-Ardenne,P3Cell,UMR-S 1250,Reims,France [3]Institut de Pharmacologie et de Biologie Structurale(IPBS),Universitéde Toulouse,CNRS,UniversitéToulouse III-Paul Sabatier(UT3),Toulouse,France [4]Département de Chirurgie Gynécologique oncologique,CHU-Toulouse,Institut Universitaire du Cancer de Toulouse-Oncopole,Toulouse,France

出　　处：《PhotoniX》2024年第1期121-140,共20页智汇光学(英文)

基　　金：support of the ITMO Cancer and ITMO Technologies pour la Santécoordinated by AVIESAN(National Alliance for Life Sciences&Health),within the framework of the Cancer Plan(France).

摘　　要：Cancer-associated adipocytes(CAAs)have emerged as pivotal players in various cancers,particularly in such as breast cancer,significantly influencing their progression and therapy resistance.Understanding the adipocytes/cancer cells crosstalk is crucial for effective treatment strategies.Raman spectroscopy,a label-free optical technique,offers potential for characterizing biological samples by providing chemical-specific information.In this study,we used Raman spectroscopy and Trajectory Inference methods,specifically the Partition-based graph abstraction algorithm,to investigate the interactions between 3T3-L1 differentiated adipocytes and MDA-MB-231 breast cancer cells in a 2D co-culture model.We demonstrate the existence of subpopulations of adipocytes and the molecular changes associated with CAAs phenotype.This work contributes to understanding the role of CAAs in breast cancer progression and may guide the development of targeted therapies disrupting this interaction.

关 键 词：Cancer-associated adipocytes Raman spectroscopy Trajectory inference Breast cancer 

分 类 号：R73[医药卫生—肿瘤]