Cargando…

The Lipid Phenotype of Breast Cancer Cells Characterized by Raman Microspectroscopy: Towards a Stratification of Malignancy

Although molecular classification brings interesting insights into breast cancer taxonomy, its implementation in daily clinical care is questionable because of its expense and the information supplied in a single sample allocation is not sufficiently reliable. New approaches, based on a panel of sma...

Descripción completa

Detalles Bibliográficos
Autores principales: Nieva, Claudia, Marro, Monica, Santana-Codina, Naiara, Rao, Satish, Petrov, Dmitri, Sierra, Angels
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3474759/
https://www.ncbi.nlm.nih.gov/pubmed/23082122
http://dx.doi.org/10.1371/journal.pone.0046456
_version_ 1782246831217967104
author Nieva, Claudia
Marro, Monica
Santana-Codina, Naiara
Rao, Satish
Petrov, Dmitri
Sierra, Angels
author_facet Nieva, Claudia
Marro, Monica
Santana-Codina, Naiara
Rao, Satish
Petrov, Dmitri
Sierra, Angels
author_sort Nieva, Claudia
collection PubMed
description Although molecular classification brings interesting insights into breast cancer taxonomy, its implementation in daily clinical care is questionable because of its expense and the information supplied in a single sample allocation is not sufficiently reliable. New approaches, based on a panel of small molecules derived from the global or targeted analysis of metabolic profiles of cells, have found a correlation between activation of de novo lipogenesis and poorer prognosis and shorter disease-free survival for many tumors. We hypothesized that the lipid content of breast cancer cells might be a useful indirect measure of a variety of functions coupled to breast cancer progression. Raman microspectroscopy was used to characterize metabolism of breast cancer cells with different degrees of malignancy. Raman spectra from MDA-MB-435, MDA-MB-468, MDA-MB-231, SKBR3, MCF7 and MCF10A cells were acquired with an InVia Raman microscope (Renishaw) with a backscattered configuration. We used Principal Component Analysis and Partial Least Squares Discriminant Analyses to assess the different profiling of the lipid composition of breast cancer cells. Characteristic bands related to lipid content were found at 3014, 2935, 2890 and 2845 cm(−1), and related to lipid and protein content at 2940 cm(−1). A classificatory model was generated which segregated metastatic cells and non-metastatic cells without basal-like phenotype with a sensitivity of 90% and a specificity of 82.1%. Moreover, expression of SREBP-1c and ABCA1 genes validated the assignation of the lipid phenotype of breast cancer cells. Indeed, changes in fatty acid unsaturation were related with the epithelial-to-mesenchymal transition phenotype. Raman microspectroscopy is a promising technique for characterizing and classifying the malignant phenotype of breast cancer cells on the basis of their lipid profiling. The algorithm for the discrimination of metastatic ability is a first step towards stratifying breast cancer cells using this rapid and reagent-free tool.
format Online
Article
Text
id pubmed-3474759
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-34747592012-10-18 The Lipid Phenotype of Breast Cancer Cells Characterized by Raman Microspectroscopy: Towards a Stratification of Malignancy Nieva, Claudia Marro, Monica Santana-Codina, Naiara Rao, Satish Petrov, Dmitri Sierra, Angels PLoS One Research Article Although molecular classification brings interesting insights into breast cancer taxonomy, its implementation in daily clinical care is questionable because of its expense and the information supplied in a single sample allocation is not sufficiently reliable. New approaches, based on a panel of small molecules derived from the global or targeted analysis of metabolic profiles of cells, have found a correlation between activation of de novo lipogenesis and poorer prognosis and shorter disease-free survival for many tumors. We hypothesized that the lipid content of breast cancer cells might be a useful indirect measure of a variety of functions coupled to breast cancer progression. Raman microspectroscopy was used to characterize metabolism of breast cancer cells with different degrees of malignancy. Raman spectra from MDA-MB-435, MDA-MB-468, MDA-MB-231, SKBR3, MCF7 and MCF10A cells were acquired with an InVia Raman microscope (Renishaw) with a backscattered configuration. We used Principal Component Analysis and Partial Least Squares Discriminant Analyses to assess the different profiling of the lipid composition of breast cancer cells. Characteristic bands related to lipid content were found at 3014, 2935, 2890 and 2845 cm(−1), and related to lipid and protein content at 2940 cm(−1). A classificatory model was generated which segregated metastatic cells and non-metastatic cells without basal-like phenotype with a sensitivity of 90% and a specificity of 82.1%. Moreover, expression of SREBP-1c and ABCA1 genes validated the assignation of the lipid phenotype of breast cancer cells. Indeed, changes in fatty acid unsaturation were related with the epithelial-to-mesenchymal transition phenotype. Raman microspectroscopy is a promising technique for characterizing and classifying the malignant phenotype of breast cancer cells on the basis of their lipid profiling. The algorithm for the discrimination of metastatic ability is a first step towards stratifying breast cancer cells using this rapid and reagent-free tool. Public Library of Science 2012-10-17 /pmc/articles/PMC3474759/ /pubmed/23082122 http://dx.doi.org/10.1371/journal.pone.0046456 Text en © 2012 Nieva et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Nieva, Claudia
Marro, Monica
Santana-Codina, Naiara
Rao, Satish
Petrov, Dmitri
Sierra, Angels
The Lipid Phenotype of Breast Cancer Cells Characterized by Raman Microspectroscopy: Towards a Stratification of Malignancy
title The Lipid Phenotype of Breast Cancer Cells Characterized by Raman Microspectroscopy: Towards a Stratification of Malignancy
title_full The Lipid Phenotype of Breast Cancer Cells Characterized by Raman Microspectroscopy: Towards a Stratification of Malignancy
title_fullStr The Lipid Phenotype of Breast Cancer Cells Characterized by Raman Microspectroscopy: Towards a Stratification of Malignancy
title_full_unstemmed The Lipid Phenotype of Breast Cancer Cells Characterized by Raman Microspectroscopy: Towards a Stratification of Malignancy
title_short The Lipid Phenotype of Breast Cancer Cells Characterized by Raman Microspectroscopy: Towards a Stratification of Malignancy
title_sort lipid phenotype of breast cancer cells characterized by raman microspectroscopy: towards a stratification of malignancy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3474759/
https://www.ncbi.nlm.nih.gov/pubmed/23082122
http://dx.doi.org/10.1371/journal.pone.0046456
work_keys_str_mv AT nievaclaudia thelipidphenotypeofbreastcancercellscharacterizedbyramanmicrospectroscopytowardsastratificationofmalignancy
AT marromonica thelipidphenotypeofbreastcancercellscharacterizedbyramanmicrospectroscopytowardsastratificationofmalignancy
AT santanacodinanaiara thelipidphenotypeofbreastcancercellscharacterizedbyramanmicrospectroscopytowardsastratificationofmalignancy
AT raosatish thelipidphenotypeofbreastcancercellscharacterizedbyramanmicrospectroscopytowardsastratificationofmalignancy
AT petrovdmitri thelipidphenotypeofbreastcancercellscharacterizedbyramanmicrospectroscopytowardsastratificationofmalignancy
AT sierraangels thelipidphenotypeofbreastcancercellscharacterizedbyramanmicrospectroscopytowardsastratificationofmalignancy
AT nievaclaudia lipidphenotypeofbreastcancercellscharacterizedbyramanmicrospectroscopytowardsastratificationofmalignancy
AT marromonica lipidphenotypeofbreastcancercellscharacterizedbyramanmicrospectroscopytowardsastratificationofmalignancy
AT santanacodinanaiara lipidphenotypeofbreastcancercellscharacterizedbyramanmicrospectroscopytowardsastratificationofmalignancy
AT raosatish lipidphenotypeofbreastcancercellscharacterizedbyramanmicrospectroscopytowardsastratificationofmalignancy
AT petrovdmitri lipidphenotypeofbreastcancercellscharacterizedbyramanmicrospectroscopytowardsastratificationofmalignancy
AT sierraangels lipidphenotypeofbreastcancercellscharacterizedbyramanmicrospectroscopytowardsastratificationofmalignancy