Personalized tumor combination therapy optimization using the single-cell transcriptome.

ABSTRACT:

Background

The precise characterization of individual tumors and immune microenvironments using transcriptome sequencing has provided a great opportunity for successful personalized cancer treatment. However, the cancer treatment response is often characterized by in vitro assays or bulk transcriptomes that neglect the heterogeneity of malignant tumors in vivo and the immune microenvironment, motivating the need to use single-cell transcriptomes for personalized cancer treatment.

Methods

Here, we present comboSC, a computational proof-of-concept study to explore the feasibility of personalized cancer combination therapy optimization using single-cell transcriptomes. ComboSC provides a workable solution to stratify individual patient samples based on quantitative evaluation o

SUBMITTER: Tang C 

PROVIDER: S-EPMC10691165 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature