EHA Library - The official digital education library of European Hematology Association (EHA)

CHN1 IS A NOVEL PROGNOSTIC MARKER FOR DIFFUSE LARGE B-CELL LYMPHOMA
Author(s): ,
Jie Sun
Affiliations:
Graduate School of Peking Union Medical College,Beijing,China;Hematology,Beijing Hospital,Beijing,China
,
Xiaoquan Zhu
Affiliations:
The Key Laboratory of Geriatrics,Beijing Hospital,Beijing,China
,
Yanyang Zhao
Affiliations:
The Key Laboratory of Geriatrics,Beijing Hospital,Beijing,China
,
Qi Zhou
Affiliations:
The Key Laboratory of Geriatrics,Beijing Hospital,Beijing,China
,
Ruomei Qi
Affiliations:
The Key Laboratory of Geriatrics,Beijing Hospital,Beijing,China
Hui Liu
Affiliations:
Hematology,Beijing Hospital,Beijing,China;Graduate School of Peking Union Medical College,Beijing,China
EHA Library. Sun J. 06/09/21; 325635; EP877
Jie Sun
Jie Sun
Contributions
Abstract
Presentation during EHA2021: All e-poster presentations will be made available as of Friday, June 11, 2021 (09:00 CEST) and will be accessible for on-demand viewing until August 15, 2021 on the Virtual Congress platform.

Abstract: EP877

Type: E-Poster Presentation

Session title: Lymphoma Biology & Translational Research

Background
Diffuse large B-cell lymphoma (DLBCL) is the most common B-cell malignancy. Thirty to forty percent of DLBCL patients still experience relapse or develop refractory disease even with standard immunochemotherapy, leading to a poor prognosis. Currently, although several gene-based classification methods can be used to predict the prognosis of DLBCL, some patients are still unable to be classified.

Aims
This study was performed to identify a novel prognostic biomarker for DLBCL.

Methods
A total of 1,850 B-cell non-Hodgkin lymphoma (B-NHL) patients in 8 independent datasets with microarray gene expression profiles were retrieved from the Gene Expression Omnibus (GEO) database and Lymphoma/Leukemia Molecular Profiling Project (LLMPP). The candidate genes were selected through three filters in a strict pipeline. Survival analysis was performed in two independent datasets of patients with both gene expression data and clinical information. Gene set enrichment analysis (GSEA) and the CIBERSORT algorithm were used to explore the biological functions of the genes.

Results
We identified 6 candidate genes associated with the clinical outcome of DLBCL patients: CHN1, CD3D, CLU, ICOS, KLRB1 and LAT. Unlike the other five genes, CHN1 has not been previously reported to be implicated in lymphoma. We also observed that CHN1 had prognostic significance in important clinical subgroups; in particular, high CHN1 expression was significantly related to good outcomes in DLBCL patients with the germinal center B-cell-like (GCB) subtype, stage III-IV, or an International Prognostic Index (IPI) score > 2. Multivariate Cox regression analysis of the two datasets showed that CHN1 was an independent prognostic factor for DLBCL. Additionally, GSEA and CIBERSORT indicated that CHN1 was correlated with cell adhesion and T cell immune infiltration.

Conclusion
Our data indicate for the first time that CHN1 is associated with the prognosis of DLBCL and suggest its potential utility as a prognostic marker in DLBCL.

Keyword(s): Diffuse large B cell lymphoma, Prognosis

Presentation during EHA2021: All e-poster presentations will be made available as of Friday, June 11, 2021 (09:00 CEST) and will be accessible for on-demand viewing until August 15, 2021 on the Virtual Congress platform.

Abstract: EP877

Type: E-Poster Presentation

Session title: Lymphoma Biology & Translational Research

Background
Diffuse large B-cell lymphoma (DLBCL) is the most common B-cell malignancy. Thirty to forty percent of DLBCL patients still experience relapse or develop refractory disease even with standard immunochemotherapy, leading to a poor prognosis. Currently, although several gene-based classification methods can be used to predict the prognosis of DLBCL, some patients are still unable to be classified.

Aims
This study was performed to identify a novel prognostic biomarker for DLBCL.

Methods
A total of 1,850 B-cell non-Hodgkin lymphoma (B-NHL) patients in 8 independent datasets with microarray gene expression profiles were retrieved from the Gene Expression Omnibus (GEO) database and Lymphoma/Leukemia Molecular Profiling Project (LLMPP). The candidate genes were selected through three filters in a strict pipeline. Survival analysis was performed in two independent datasets of patients with both gene expression data and clinical information. Gene set enrichment analysis (GSEA) and the CIBERSORT algorithm were used to explore the biological functions of the genes.

Results
We identified 6 candidate genes associated with the clinical outcome of DLBCL patients: CHN1, CD3D, CLU, ICOS, KLRB1 and LAT. Unlike the other five genes, CHN1 has not been previously reported to be implicated in lymphoma. We also observed that CHN1 had prognostic significance in important clinical subgroups; in particular, high CHN1 expression was significantly related to good outcomes in DLBCL patients with the germinal center B-cell-like (GCB) subtype, stage III-IV, or an International Prognostic Index (IPI) score > 2. Multivariate Cox regression analysis of the two datasets showed that CHN1 was an independent prognostic factor for DLBCL. Additionally, GSEA and CIBERSORT indicated that CHN1 was correlated with cell adhesion and T cell immune infiltration.

Conclusion
Our data indicate for the first time that CHN1 is associated with the prognosis of DLBCL and suggest its potential utility as a prognostic marker in DLBCL.

Keyword(s): Diffuse large B cell lymphoma, Prognosis

By clicking “Accept Terms & all Cookies” or by continuing to browse, you agree to the storing of third-party cookies on your device to enhance your user experience and agree to the user terms and conditions of this learning management system (LMS).

Cookie Settings
Accept Terms & all Cookies