Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Apr 20, 2026

Enhancing Tumor Content through Tumor Macrodissection
10:04

Enhancing Tumor Content through Tumor Macrodissection

Published on: February 12, 2022

13.1K

Diffuse large B-cell lymphoma: sub-classification by massive parallel quantitative RT-PCR.

Xuemin Xue1, Naiyan Zeng2, Zifen Gao3

  • 11] Department of Pathology, Health Science Center, Peking University, Beijing, China [2] Division of Molecular Histopathology, Department of Pathology, University of Cambridge, Cambridge, UK.

Laboratory Investigation; a Journal of Technical Methods and Pathology
|November 25, 2014
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Genetically driven immune microenvironment states associate with therapeutic responses in MYD88 mutant lymphomas.

Molecular cancer·2026
Same author

Digital spatial profiling uncovers transcriptomic features of distinct plasma cell-like phenotypes in diffuse large B-cell lymphoma.

Blood advances·2026
Same author

Different primary thyroid B-cell lymphomas show overlapping mutation profiles, suggesting involvement of a common pathogenic process.

Haematologica·2026
Same author

Development and validation of a survival-predicting nomogram for HER2-negative T1-3N0-1 breast cancer treated with breast-conserving surgery: a Surveillance, Epidemiology, and End Results (SEER) database analysis.

Gland surgery·2026
Same author

CD47 Expression in Classic Hodgkin Lymphoma and Its Association With Tumor Microenvironment.

Journal of immunology research·2026
Same author

Spatially resolved transcriptomics identifies tumor-stroma-immune networks and therapeutic targets in endocrine-resistant advanced breast cancer treated with Everolimus+Letrozole: insights from the MIRACLE trial.

Cancer letters·2026

This study developed a robust method for classifying Diffuse Large B-cell Lymphoma (DLBCL) subtypes using formalin-fixed paraffin-embedded (FFPE) biopsies. This approach enables routine clinical application for improved patient outcome prediction.

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Diffuse Large B-cell Lymphoma (DLBCL) is a heterogeneous cancer with variable outcomes.
  • Gene expression profiling (GEP) classifies DLBCL into subtypes (ABC, GCB, Type-III), with ABC-DLBCL associated with poor prognosis.
  • Current classification methods are challenging for routine clinical use with standard FFPE biopsies.

Purpose of the Study:

  • To establish a robust method for cell of origin (COO) classification of DLBCL using FFPE tissue.
  • To evaluate the feasibility of COO-classification via massive parallel quantitative reverse transcription PCR (qRT-PCR).
  • To apply machine learning for accurate DLBCL subtyping in a clinical setting.

Main Methods:

  • Developed a qRT-PCR protocol for FFPE RNA using the Fluidigm BioMark HD system.

More Related Videos

Single-cell Gene Expression Using Multiplex RT-qPCR to Characterize Heterogeneity of Rare Lymphoid Populations
10:23

Single-cell Gene Expression Using Multiplex RT-qPCR to Characterize Heterogeneity of Rare Lymphoid Populations

Published on: January 19, 2017

11.6K
Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma
07:52

Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma

Published on: January 9, 2019

20.7K

Related Experiment Videos

Last Updated: Apr 20, 2026

Enhancing Tumor Content through Tumor Macrodissection
10:04

Enhancing Tumor Content through Tumor Macrodissection

Published on: February 12, 2022

13.1K
Single-cell Gene Expression Using Multiplex RT-qPCR to Characterize Heterogeneity of Rare Lymphoid Populations
10:23

Single-cell Gene Expression Using Multiplex RT-qPCR to Characterize Heterogeneity of Rare Lymphoid Populations

Published on: January 19, 2017

11.6K
Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma
07:52

Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma

Published on: January 9, 2019

20.7K
  • Quantified COO classifier and NF-κB target gene expression in 143 DLBCL cases.
  • Trained and validated machine learning classifiers, identifying SimpleLogistic as optimal.

    • Main Results:

    • The SimpleLogistic classifier demonstrated excellent performance across different GEP datasets (fresh-frozen and FFPE).
    • qRT-PCR based COO-classification of DLBCL using FFPE samples was successfully achieved.
    • Subtyped DLBCL cases exhibited distinct clinical outcomes and NF-κB target gene expression patterns.

    Conclusions:

    • The established methodology provides a robust approach for DLBCL sub-classification using routine FFPE diagnostic biopsies.
    • This technique facilitates the application of COO classification in standard clinical practice.
    • Improved DLBCL subtyping can lead to better prognostic assessment and potentially tailored treatment strategies.