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Tumor Engraftment in a Xenograft Mouse Model of Human Mantle Cell Lymphoma
Published on: March 30, 2018
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Whole Transcriptome Sequencing Reveals Cancer-Related, Prognostically Significant Transcripts and Tumor-Infiltrating
Esra Esmeray Sönmez1,2, Tevfik Hatipoğlu1,2, Deniz Kurşun1,2
1İzmir International Biomedicine and Genome Institute, Dokuz Eylül University, İzmir 35340, Türkiye.
Cells
|November 11, 2022
Summary
Whole transcriptome sequencing reveals new prognostic markers for mantle cell lymphoma (MCL), an aggressive non-Hodgkin lymphoma. Gene expression and immune cell ratios in tumors can predict patient outcomes and guide treatment.
Area of Science:
- Oncology
- Genomics
- Immunology
Background:
- Mantle cell lymphoma (MCL) is an aggressive B-cell non-Hodgkin lymphoma (NHL) with poor prognosis.
- Identifying novel genes and cellular markers for MCL prognosis is crucial for improved patient management.
Purpose of the Study:
- To identify differentially expressed genes and transcripts in MCL using whole transcriptome sequencing (WTS).
- To investigate the prognostic value of identified transcripts and tumor-infiltrating immunocytes in MCL.
Main Methods:
- Whole transcriptome sequencing (WTS) of MCL cases and reactive tonsil B-cell subsets.
- Differential gene expression analysis, including mRNAs, lncRNAs, and alternative transcripts.
- Survival analysis correlating transcript expression and immunocyte ratios (CIBERSORTx) with patient outcomes.
Main Results:
- Overexpression of CCND1, VCAM1, VWF mRNAs, and MIR100HG, ROR1-AS1 lncRNAs identified in MCL.
- High VWF mRNA and low FTX lncRNA expression correlated with poor overall survival.
- Tumor-infiltrating CD8+ T-cells and NK cells, along with low eosinophils, were associated with adverse outcomes.
- Integrative analysis suggested high CD8+ T-cells and low FTX/PCA3 expression predict high-risk MCL.
Conclusions:
- Expression levels of specific oncogenesis-associated transcripts and tumor microenvironment immunocyte ratios can improve MCL prognostication.
- These molecular and cellular markers offer potential for enhanced patient management and personalized treatment strategies.
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