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Prognostic relevance of tumor-infiltrating CD4+ cells and total metabolic tumor volume-based risk stratification in diffuse large B-cell lymphoma

  • 0Division of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba. dskikd.2409@gmail.com.
Haematologica +

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April 4, 2024

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April 4, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

This study found that high total metabolic tumor volume (TMTV) and low CD4+ tumor-infiltrating (TI) cells predict poor prognosis in diffuse large B-cell lymphoma (DLBCL). Combining TMTV and TI cell analysis improves survival prediction accuracy.

Area Of Science

  • Oncology
  • Radiology
  • Immunology

Background

  • Diffuse large B-cell lymphoma (DLBCL) is an aggressive non-Hodgkin lymphoma.
  • Accurate prognostic markers are crucial for guiding treatment decisions in DLBCL.
  • Tumor-infiltrating immune cells play a role in lymphoma pathogenesis and response to therapy.

Purpose Of The Study

  • To investigate the association between pretreatment radiomic parameters and tumor-infiltrating (TI) cell proportions in DLBCL.
  • To determine the prognostic value of radiomic features and TI cells in DLBCL patients.
  • To assess if combining radiomic data with TI cell analysis improves survival prediction.

Main Methods

  • Retrospective analysis of 171 newly diagnosed DLBCL patients.
  • Correlation of positron-emission tomography (PET)-derived radiomic parameters (SUVmax, TMTV, total lesion glycolysis) with TI cell surface markers (analyzed by multicolor flow cytometry).
  • Prognostic evaluation of TMTV, TI CD4+ cells, and their combination using survival analysis.

Main Results

  • Intratumoral cell types minimally influenced radiomic parameters, with weak correlations observed for CD19+, CD3+, and CD4+ cells with SUVmax and SUV.
  • High TMTV and low TI CD4+ cells were independently associated with poor prognosis.
  • The combination of high TMTV and low TI CD4+ cells identified the most adverse patient group.
  • Radiomic parameters integrated with the international prognostic index significantly improved 3-year survival prediction.

Conclusions

  • Tumor-infiltrating CD4+ cells have a significant prognostic impact in DLBCL.
  • Integration of total metabolic tumor volume (TMTV) and tumor-infiltrating (TI) cell analysis enhances prognostic accuracy in DLBCL.
  • Radiomics combined with immune cell profiling offers a promising approach for personalized risk stratification in DLBCL.