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Dataset Information

Identification of Tumor Microenvironment-Related Prognostic Genes in Sarcoma.


ABSTRACT:

Aim

Immune cells that infiltrate the tumor microenvironment (TME) are associated with cancer prognosis. The aim of the current study was to identify TME related gene signatures related to the prognosis of sarcoma (SARC) by using the data from The Cancer Genome Atlas (TCGA).

Methods

Immune and stromal scores were calculated by estimation of stromal and immune cells in malignant tumor tissues using expression data algorithms. The least absolute shrinkage and selection operator (lasso) based cox model was then used to select hub survival genes. A risk score model and nomogram were used to predict the overall survival of patients with SARC.

Results

We selected 255 patients with SARC for our analysis. The Kaplan-Meier method found that higher immune (p = 0.0018) or

SUBMITTER: Dai D 

PROVIDER: S-EPMC7882740 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature