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Dataset Information

Identification and Validation of a Prognostic Prediction Model in Diffuse Large B-Cell Lymphoma.


ABSTRACT:

Background

Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous group with varied pathophysiological, genetic, and clinical features, accounting for approximately one-third of all lymphoma cases worldwide. Notwithstanding that unprecedented scientific progress has been achieved over the years, the survival of DLBCL patients remains low, emphasizing the need to develop novel prognostic biomarkers for early risk stratification and treatment optimization.

Method

In this study, we screened genes related to the overall survival (OS) of DLBCL patients in datasets GSE117556, GSE10846, and GSE31312 using univariate Cox analysis. Survival-related genes among the three datasets were screened according to the criteria: hazard ratio (HR) >1 or <1 and p-value <0.01. Least Abso

SUBMITTER: Yan J 

PROVIDER: S-EPMC9048048 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature