Cisplatin-Induced Metabolic Responses Measured with Raman Spectroscopy in Cancer Cells, Spheroids, and Canine-Derived Organoids

<i>Ex vivo</i> assessment of drug response with conventional cell viability assays remains the standard practice for guiding initial therapeutic choices. However, such ensemble approaches fail to capture heterogeneities in treatment response and cannot identify early markers of response. Here, we leverage Raman spectroscopy (RS) as an accurate, low-cost, extraction-free, and label-free approach to track metabolic changes in cancer cells, spheroids, and organoids in response to cisplatin treatment. We identified 12 statistically significant metabolites in cells and 19 metabolites in spheroids and organoids as a function of depth. We show that the cisplatin treatment of 4T1 cells and spheroids results in a shift in metabolite levels; metabolites including nucleic acids such as DNA, 783 cm<sup>-1</sup> with <i>p</i> = 0.00021 for cells; <i>p</i> = 0.02173 for spheroids, major amino acids such as threonine, 1338 cm<sup>-1</sup> with <i>p</i> = 0.00045 for cells; <i>p</i> = 0.01022 for spheroids, proteins such as amide III, 1248 cm<sup>-1</sup> with <i>p</i> = 0.00606 for cells; <i>p</i> = 0.00511 for spheroids serve as early predictors of response. Our RS findings were also applicable to canine-derived organoids, showing spatial variations in metabolic changes as a function of organoid depth in response to cisplatin. Further, the metabolic pathways such as tricarboxylic acid (TCA)/citric acid cycle and glyoxylate and dicarboxylate metabolism that drive drug response showed significant differences based on organoid depth, replicating the heterogeneous treatment response seen in solid tumors where there is a difference from the periphery to the tumor core. Our study showcases the versatility of RS as a predictive tool for treatment response applicable from cells to organotypic cultures, that has the potential to decrease animal burden and readout time for preclinical drug efficacy.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2024-09-16
DOI
https://doi.org/10.1021/acsami.4c08629
Citations
8
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
5.30

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cisplatin-Induced Metabolic Responses Measured with Raman Spectroscopy in Cancer Cells, Spheroids, and Canine-Derived Organoids

Dipak Kumar Sahoo, Jonathan P. Mochel, Gabriel Cutshaw, Karin Allenspach et al.
8 citations
ACS Applied Materials & Interfaces
Spectroscopy Techniques in Biomedical and Chemical Research
5.30
article

Cisplatin-Induced Metabolic Responses Measured with Raman Spectroscopy in Cancer Cells, Spheroids, and Canine-Derived Organoids

Dipak Kumar Sahoo, Jonathan P. Mochel, Gabriel Cutshaw, Karin Allenspach, Nora Hassan, Hannah Wickham, Saji Uthaman, Rizia Bardhan, Siddhant Kothadiya, Elizabeth Quam
article en
8 citations

Abstract

<i>Ex vivo</i> assessment of drug response with conventional cell viability assays remains the standard practice for guiding initial therapeutic choices. However, such ensemble approaches fail to capture heterogeneities in treatment response and cannot identify early markers of response. Here, we leverage Raman spectroscopy (RS) as an accurate, low-cost, extraction-free, and label-free approach to track metabolic changes in cancer cells, spheroids, and organoids in response to cisplatin treatment. We identified 12 statistically significant metabolites in cells and 19 metabolites in spheroids and organoids as a function of depth. We show that the cisplatin treatment of 4T1 cells and spheroids results in a shift in metabolite levels; metabolites including nucleic acids such as DNA, 783 cm<sup>-1</sup> with <i>p</i> = 0.00021 for cells; <i>p</i> = 0.02173 for spheroids, major amino acids such as threonine, 1338 cm<sup>-1</sup> with <i>p</i> = 0.00045 for cells; <i>p</i> = 0.01022 for spheroids, proteins such as amide III, 1248 cm<sup>-1</sup> with <i>p</i> = 0.00606 for cells; <i>p</i> = 0.00511 for spheroids serve as early predictors of response. Our RS findings were also applicable to canine-derived organoids, showing spatial variations in metabolic changes as a function of organoid depth in response to cisplatin. Further, the metabolic pathways such as tricarboxylic acid (TCA)/citric acid cycle and glyoxylate and dicarboxylate metabolism that drive drug response showed significant differences based on organoid depth, replicating the heterogeneous treatment response seen in solid tumors where there is a difference from the periphery to the tumor core. Our study showcases the versatility of RS as a predictive tool for treatment response applicable from cells to organotypic cultures, that has the potential to decrease animal burden and readout time for preclinical drug efficacy.

ACS Applied Materials & InterfacesVol. 16(38)
University of Georgia (US), Iowa State University (US)
Iowa State University, National Institute of Biomedical Imaging and Bioengineering, National Institute of Child Health and Human Development, Congressionally Directed Medical Research Programs
Good health and well-being
Openalex Percentile: Top 5%
Spectroscopy Techniques in Biomedical and Chemical Research
5.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.