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Dataset Information

Joint analysis of mutational and transcriptional landscapes in human cancer reveals key perturbations during cancer evolution.


ABSTRACT:

Background

Tumors are able to acquire new capabilities, including traits such as drug resistance and metastasis that are associated with unfavorable clinical outcomes. Single-cell technologies have made it possible to study both mutational and transcriptomic profiles, but as most studies have been conducted on model systems, little is known about cancer evolution in human patients. Hence, a better understanding of cancer evolution could have important implications for treatment strategies.

Results

Here, we analyze cancer evolution and clonal selection by jointly considering mutational and transcriptomic profiles of single cells acquired from tumor biopsies from 49 lung cancer samples and 51 samples with chronic myeloid leukemia. Comparing the two profiles, we find that each

SUBMITTER: Cho JW 

PROVIDER: S-EPMC10921788 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature