A methodological approach to correlate tumor heterogeneity with drug distribution profile in mass spectrometry imaging data.

ABSTRACT:

Background

Drug mass spectrometry imaging (MSI) data contain knowledge about drug and several other molecular ions present in a biological sample. However, a proper approach to fully explore the potential of such type of data is still missing. Therefore, a computational pipeline that combines different spatial and non-spatial methods is proposed to link the observed drug distribution profile with tumor heterogeneity in solid tumor. Our data analysis steps include pre-processing of MSI data, cluster analysis, drug local indicators of spatial association (LISA) map, and ions selection.

Results

The number of clusters identified from different tumor tissues. The spatial homogeneity of the individual cluster was measured using a modified version of our drug homogeneity method. Th

SUBMITTER: Prasad M 

PROVIDER: S-EPMC7688471 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature