Literature DB >> 30004539

Breast cancer subtype specific biochemical responses to radiation.

Phiranuphon Meksiarun1, Pedro H B Aoki, Samantha J Van Nest, Regivaldo Gomes Sobral-Filho, Julian J Lum, Alexandre G Brolo, Andrew Jirasek.   

Abstract

External beam radiotherapy is a common form of treatment for breast cancer. Among patients and across different breast cancer subtypes, the response to radiation is heterogeneous. Radiation-induced biochemical changes were examined by Raman spectroscopy using cell lines that represent a spectrum of human breast cancer. Principal component analysis (PCA) and partial least squares discriminant analysis (PLSDA) revealed unique Raman spectral features in the HER2 and Ki67 subtype. The changes in Raman spectral profiles to different doses of radiation (0-50 Gy) included variations in the levels of proteins, lipids, nucleic acids and glycogen. Importantly, the differences in radiation-induced changes on the normal breast epithelial cell line MCF10A could be discriminated within and across the various breast tumor cell lines. These results demonstrate a novel approach to uncover differences between breast cancer cell subtypes and surrounding normal tissues by their biochemical variations in response to radiation.

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Year:  2018        PMID: 30004539     DOI: 10.1039/c8an00345a

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  3 in total

1.  Single Particle Automated Raman Trapping Analysis of Breast Cancer Cell-Derived Extracellular Vesicles as Cancer Biomarkers.

Authors:  Jelle Penders; Anika Nagelkerke; Eoghan M Cunnane; Simon V Pedersen; Isaac J Pence; R Charles Coombes; Molly M Stevens
Journal:  ACS Nano       Date:  2021-11-04       Impact factor: 18.027

2.  Multivariate Analysis of Difference Raman Spectra of the Irradiated Nucleus and Cytoplasm Region of SH-SY5Y Human Neuroblastoma Cells.

Authors:  Ines Delfino; Valerio Ricciardi; Lorenzo Manti; Maria Lasalvia; Maria Lepore
Journal:  Sensors (Basel)       Date:  2019-09-14       Impact factor: 3.576

3.  Group and Basis Restricted Non-Negative Matrix Factorization and Random Forest for Molecular Histotype Classification and Raman Biomarker Monitoring in Breast Cancer.

Authors:  Xinchen Deng; Kirsty Milligan; Ramie Ali-Adeeb; Phillip Shreeves; Alexandre Brolo; Julian J Lum; Jeffrey L Andrews; Andrew Jirasek
Journal:  Appl Spectrosc       Date:  2021-08-06       Impact factor: 2.388

  3 in total

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