PhotoniX, Volume. 5, Issue 1, 35(2024)

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

Nicolas Goffin1... Emilie Buache1, Nathalie Lalun2, Marion Fernandes1, Ines Miguel1, Catherine Muller3, Charlotte Vaysse3,4, Landry Blanc3, Cyril Gobinet1 and Olivier Piot1,* |Show fewer author(s)
Author Affiliations
  • 1Université de Reims Champagne-Ardenne, BioSpecT UR 7506, Reims, France
  • 2INSERM, Université de Reims Champagne-Ardenne, P3Cell, UMR-S 1250 Reims, France
  • 3Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, Université Toulouse III - Paul Sabatier (UT3) Toulouse, France
  • 4Département de Chirurgie Gynécologique oncologique, CHU-Toulouse, Institut Universitaire du Cancer de Toulouse-Oncopole Toulouse, France
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    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.

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    Nicolas Goffin, Emilie Buache, Nathalie Lalun, Marion Fernandes, Ines Miguel, Catherine Muller, Charlotte Vaysse, Landry Blanc, Cyril Gobinet, Olivier Piot. Characterization of cancer-associated adipocytes by Raman spectroscopy and trajectory inference[J]. PhotoniX, 2024, 5(1): 35

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    Paper Information

    Category: Research Articles

    Received: Jun. 17, 2024

    Accepted: Sep. 21, 2024

    Published Online: Jan. 23, 2025

    The Author Email: Piot Olivier (olivier.piot@univ-reims.fr)

    DOI:10.1186/s43074-024-00146-3

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