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Updated: Mar 7, 2026

Tumor Engraftment in a Xenograft Mouse Model of Human Mantle Cell Lymphoma
Published on: March 30, 2018
Proteogenomic features define subtypes of mantle cell lymphoma
Yuting Yan1,2, Weihao Chen1,2, Xinzhou Ge3,4
1State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.
This study reveals key protein changes in mantle cell lymphoma (MCL), a B-cell cancer. Proteomics data improves survival prediction, offering new avenues for precision medicine in MCL.
Area of Science:
- Oncology
- Proteomics
- Genomics
Background:
- Mantle cell lymphoma (MCL) is a heterogeneous B-cell malignancy with incompletely understood molecular underpinnings.
- Previous studies focused on genomics and transcriptomics, leaving the proteomic landscape of MCL largely unexplored.
Purpose of the Study:
- To conduct a comprehensive proteogenomic analysis of MCL.
- To investigate the translational and post-translational alterations in MCL.
- To identify novel molecular subtypes and prognostic markers for MCL.
Main Methods:
- Integrated analysis of genomics, transcriptomics, and proteomics on peripheral blood from MCL patients and healthy donors.
- Quantification of protein expression changes and correlation with genetic aberrations.
- Development of a multi-omics molecular stratification model for survival prediction.
Main Results:
- Identified 1,296 downregulated and 468 upregulated proteins in MCL cells.
- Observed significant upregulation of splicing pathways at both mRNA and protein levels.
- Found associations between IGHV mutational status, CCND1 mutation, and distinct molecular profiles with clinical outcomes.
- Demonstrated superior predictive power of a multi-omics model incorporating proteomics for patient survival (concordance index 0.83).
Conclusions:
- This study provides the first comprehensive proteogenomic profile of MCL.
- Aberrant RNA splicing plays a critical role in MCL pathogenesis.
- Proteomic signatures can refine molecular stratification and predict survival in MCL, supporting precision medicine approaches.
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