Identification of non-cancer cells from cancer transcriptomic data.

ABSTRACT: Interactions between cancer cells and non-cancer cells composing the tumour microenvironment play a primary role in determining cancer progression and shaping the response to therapy. The qualitative and quantitative characterisation of the different cell populations in the tumour microenvironment is therefore crucial to understand its role in cancer. In recent years, many experimental and computational approaches have been developed to identify the cell populations composing heterogeneous tissue samples, such as cancer. In this review, we describe the state-of-the-art approaches for the quantification of non-cancer cells from bulk and single-cell cancer transcriptomic data, with a focus on immune cells. We illustrate the main features of these approaches and highlight their applications f

SUBMITTER: Bortolomeazzi M 

PROVIDER: S-EPMC7346884 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature