Related Experiment Video
Updated: Jun 11, 2025

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma
Published on: December 28, 2015
CD16+ as predictive marker for early relapse in aggressive B-NHL/DLBCL patients
Sylvia Zöphel1, Nadja Küchler1, Johanna Jansky1
1Biophysics, Center for Integrative Physiology and Molecular Medicine (CIPMM), School of Medicine, Saarland University, Building 48, 66421, Homburg, Germany.
High levels of CD16+ T cells indicate better outcomes for aggressive non-Hodgkin B cell lymphoma patients, while high CD16+ monocytes suggest worse prognosis. Combined analysis offers precise early relapse prediction.
Area of Science:
- Immunology
- Hematology
- Oncology
Background:
- Aggressive non-Hodgkin B cell lymphoma prognosis typically relies on the International Prognostic Index (IPI).
- Standard chemo-immunotherapy uses rituximab, which depends on CD16-mediated antibody-dependent cellular cytotoxicity (ADCC).
- This study investigates the role of CD16+ immune cells in patient prognosis.
Discussion:
- CD16+ T cells showed a superior progression-free survival (PFS) when above 1.6%, while CD16+ monocytes above 10.0% indicated inferior PFS.
- The negative impact of CD16+ monocytes was mitigated by the presence of CD16+ T cells.
- CD16+ T cells' protective function may stem from their potent ADCC capabilities.
Key Insights:
- Kaplan-Meier survival analysis revealed significant prognostic value for CD16+ T cell and CD16+ monocyte percentages.
- No correlation was found between CD16+ NK cells and patient survival.
- A combined model using CD16+ monocytes (>10%) and CD16+ T cells (<1.6%) achieved a Harrell's C index of 0.80 for relapse prediction.
Outlook:
- CD16 assessment in initial blood tests can serve as a precise marker for early relapse prediction in aggressive non-Hodgkin B cell lymphoma.
- Further research could explore therapeutic strategies targeting CD16+ cell populations.
- Validating these findings in larger patient cohorts is warranted.
More Related Videos
07:35Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
09:01Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up
Published on: March 26, 2018