Degree of stemness predicts micro-environmental response and clinical outcomes of diffuse large B-cell lymphoma and identifies a potential targeted therapy

Some cells within a diffuse large B-cell lymphoma (DLBCL) have the genotype of a stem cell, the proportion of which is termed degree of stemness . We interrogated correlations between the degree of stemness with immune and stromal cell scores and clinical outcomes in persons with DLBCL. We evaluated...

Full description

Saved in:
Bibliographic Details
Published inFrontiers in immunology Vol. 13; p. 1012242
Main Authors Hu, Fang, Li, Huan, Li, Lei, Gale, Robert Peter, Song, Yuanbin, Chen, Shuiqin, Liang, Yang
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 08.11.2022
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Some cells within a diffuse large B-cell lymphoma (DLBCL) have the genotype of a stem cell, the proportion of which is termed degree of stemness . We interrogated correlations between the degree of stemness with immune and stromal cell scores and clinical outcomes in persons with DLBCL. We evaluated gene expression data on 1,398 subjects from Gene Expression Omnibus to calculate the degree of stemness . Subjects were classified into low- and high-stemness cohorts based on restricted cubic spline plots. Weighted gene co-expression network analysis (WGCNA) was used to screen for stemness-related genes. Immune and stromal scores correlated with the degree of stemness (both P < 0.001). A high degree of stemness correlated with a shorter progression-free survival (PFS; Hazard Ratio [HR; 95% Confidence Interval [CI] =1.90 (1.37, 2.64; P < 0.001) and a shorter survival (HR = 2.29 (1.53, 3.44; P < 0.001). CDC7 expression correlated with the degree of stemness , and CDC7-inhibitors significantly increased apoptosis ( P < 0.01), the proportion of cells in G 1 phase ( P < 0.01), and inhibited lymphoma growth in a mice xenograft model ( P = 0.04). Our data indicate correlations between the degree of stemness , immune and stromal scores, PFS, and survival. These data will improve the prediction of therapy outcomes in DLBCL and suggest potential new therapies.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Edited by: Jun Qian, Jiangsu University Affiliated People’s Hospital, China
Reviewed by: Ya Zhang, Shandong Provincial Hospital Affiliated to Shandong First Medical University, China; Liang Yu, Huai’an First People’s Hospital, China
These authors have contributed equally to this work
This article was submitted to Cancer Immunity and Immunotherapy, a section of the journal Frontiers in Immunology
ISSN:1664-3224
1664-3224
DOI:10.3389/fimmu.2022.1012242