Transcriptional profiles reveal histologic origin and prognosis across 33 The Cancer Genome Atlas tumor types.

ABSTRACT:

Background

In recent years, with the development of transcriptome sequencing, the molecular characteristics of tumors are gradually revealed. Because of the complexity of tumor transcriptome, there is a need to look for the molecular signatures which can be used to evaluate the tissue origin and cell stemness of tumors in order to promote the diagnosis and treatment of tumors.

Methods

Tumor tissue-specific gene sets (TTSGs) consisting of 200 genes were selected using RNA expression data of 9,875 patients from 33 tumor types. t-distributed Stochastic Neighbor Embedding (t-SNE) was used for dimensionality reduction and visualization of TTSGs in each tumor type. To evaluate oncogenic dedifferentiation and loss of cell stemness, Euclidean distance from each sample to a human emb

SUBMITTER: Xiao H 

PROVIDER: S-EPMC10643977 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature