Correlation between electrical characteristics and biomarkers in breast cancer cells

Abstract Both electrical properties and biomarkers of biological tissues can be used to distinguish between normal and diseased tissues, and the correlations between them are critical for clinical applications of conductivity (σ) and permittivity (ε); however, these correlations remain unknown. This...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Yang Wang, Ying Li, Jie Huang, Yan Zhang, Ren Ma, Shunqi Zhang, Tao Yin, Shangmei Liu, Yan Song, Zhipeng Liu
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/3c22fc53d3f34a668d3837e2d390bea9
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:3c22fc53d3f34a668d3837e2d390bea9
record_format dspace
spelling oai:doaj.org-article:3c22fc53d3f34a668d3837e2d390bea92021-12-02T16:08:07ZCorrelation between electrical characteristics and biomarkers in breast cancer cells10.1038/s41598-021-93793-62045-2322https://doaj.org/article/3c22fc53d3f34a668d3837e2d390bea92021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93793-6https://doaj.org/toc/2045-2322Abstract Both electrical properties and biomarkers of biological tissues can be used to distinguish between normal and diseased tissues, and the correlations between them are critical for clinical applications of conductivity (σ) and permittivity (ε); however, these correlations remain unknown. This study aimed to investigate potential correlations between electrical characteristics and biomarkers of breast cancer cells (BCC). Changes in σ and ε of different components in suspensions of normal cells and BCC were analyzed in the range of 200 kHz–5 MHz. Pearson's correlation coefficient heatmap was used to investigate the correlation between σ and ε of the cell suspensions at different stages and biomarkers of cell growth and microenvironment. σ and ε of the cell suspensions closely resembled those of tissues. Further, the correlations between Na+/H+ exchanger 1 and ε and σ of cell suspensions were extremely significant among all biomarkers (pε < 0.001; pσ < 0.001). There were significant positive correlations between cell proliferation biomarkers and ε and σ of cell suspensions (pε/σ < 0.05). The microenvironment may be crucial in the testing of cellular electrical properties. ε and σ are potential parameters to characterize the development of breast cancer.Yang WangYing LiJie HuangYan ZhangRen MaShunqi ZhangTao YinShangmei LiuYan SongZhipeng LiuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yang Wang
Ying Li
Jie Huang
Yan Zhang
Ren Ma
Shunqi Zhang
Tao Yin
Shangmei Liu
Yan Song
Zhipeng Liu
Correlation between electrical characteristics and biomarkers in breast cancer cells
description Abstract Both electrical properties and biomarkers of biological tissues can be used to distinguish between normal and diseased tissues, and the correlations between them are critical for clinical applications of conductivity (σ) and permittivity (ε); however, these correlations remain unknown. This study aimed to investigate potential correlations between electrical characteristics and biomarkers of breast cancer cells (BCC). Changes in σ and ε of different components in suspensions of normal cells and BCC were analyzed in the range of 200 kHz–5 MHz. Pearson's correlation coefficient heatmap was used to investigate the correlation between σ and ε of the cell suspensions at different stages and biomarkers of cell growth and microenvironment. σ and ε of the cell suspensions closely resembled those of tissues. Further, the correlations between Na+/H+ exchanger 1 and ε and σ of cell suspensions were extremely significant among all biomarkers (pε < 0.001; pσ < 0.001). There were significant positive correlations between cell proliferation biomarkers and ε and σ of cell suspensions (pε/σ < 0.05). The microenvironment may be crucial in the testing of cellular electrical properties. ε and σ are potential parameters to characterize the development of breast cancer.
format article
author Yang Wang
Ying Li
Jie Huang
Yan Zhang
Ren Ma
Shunqi Zhang
Tao Yin
Shangmei Liu
Yan Song
Zhipeng Liu
author_facet Yang Wang
Ying Li
Jie Huang
Yan Zhang
Ren Ma
Shunqi Zhang
Tao Yin
Shangmei Liu
Yan Song
Zhipeng Liu
author_sort Yang Wang
title Correlation between electrical characteristics and biomarkers in breast cancer cells
title_short Correlation between electrical characteristics and biomarkers in breast cancer cells
title_full Correlation between electrical characteristics and biomarkers in breast cancer cells
title_fullStr Correlation between electrical characteristics and biomarkers in breast cancer cells
title_full_unstemmed Correlation between electrical characteristics and biomarkers in breast cancer cells
title_sort correlation between electrical characteristics and biomarkers in breast cancer cells
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/3c22fc53d3f34a668d3837e2d390bea9
work_keys_str_mv AT yangwang correlationbetweenelectricalcharacteristicsandbiomarkersinbreastcancercells
AT yingli correlationbetweenelectricalcharacteristicsandbiomarkersinbreastcancercells
AT jiehuang correlationbetweenelectricalcharacteristicsandbiomarkersinbreastcancercells
AT yanzhang correlationbetweenelectricalcharacteristicsandbiomarkersinbreastcancercells
AT renma correlationbetweenelectricalcharacteristicsandbiomarkersinbreastcancercells
AT shunqizhang correlationbetweenelectricalcharacteristicsandbiomarkersinbreastcancercells
AT taoyin correlationbetweenelectricalcharacteristicsandbiomarkersinbreastcancercells
AT shangmeiliu correlationbetweenelectricalcharacteristicsandbiomarkersinbreastcancercells
AT yansong correlationbetweenelectricalcharacteristicsandbiomarkersinbreastcancercells
AT zhipengliu correlationbetweenelectricalcharacteristicsandbiomarkersinbreastcancercells
_version_ 1718384588585172992