Screening and diagnosis of triple negative breast cancer based on rapid metabolic fingerprinting by conductive polymer spray ionization mass spectrometry and machine learning

We present the use of conductive spray polymer ionization mass spectrometry (CPSI-MS) combined with machine learning (ML) to rapidly gain the metabolic fingerprint from 1 μl liquid extraction from the biopsied tissue of triple-negative breast cancer (TNBC) in China. The 76 discriminative metabolite...

Descripción completa

Detalles Bibliográficos
Autores principales: Song, Yaoyao, Zhang, Yan, Xie, Songhai, Song, Xiaowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cell and Developmental Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798417/
https://www.ncbi.nlm.nih.gov/pubmed/36589750
http://dx.doi.org/10.3389/fcell.2022.1075810

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798417/
https://www.ncbi.nlm.nih.gov/pubmed/36589750
http://dx.doi.org/10.3389/fcell.2022.1075810

Ejemplares similares