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Dataset Information

Transcriptional signals of transformation in human cancer.


ABSTRACT:

Background

As normal cells transform into cancers, their cell state changes, which may drive cancer cells into a stem-like or more primordial, foetal, or embryonic cell state. The transcriptomic profile of this final state may encode information about cancer's origin and how cancers relate to their normal cell counterparts.

Methods

Here, we used single-cell atlases to study cancer transformation in transcriptional terms. We utilised bulk transcriptomes across a wide spectrum of adult and childhood cancers, using a previously established method to interrogate their relationship to normal cell states. We extend and validate these findings using single-cell cancer transcriptomes and organ-specific atlases of colorectal and liver cancer.

Results

Our bulk transcriptomic da

SUBMITTER: Kildisiute G 

PROVIDER: S-EPMC10775554 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature