Dendritic Cells: The Long and Evolving Road towards Successful Targetability in Cancer

Enrica Marmonti1, Jacqueline Oliva-Ramirez1, Cara Haymaker1

  • 1Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Cells
|October 14, 2022
PubMed

Insights

Dendritic cells (DCs) are crucial for adaptive immunity and cancer therapies. New multiomics technologies can improve DC targeting, but standardized nomenclature is needed for better clinical trial outcomes.

Area of Science:

  • Immunology
  • Cancer Biology
  • Cellular Therapy

Background:

  • Dendritic cells (DCs) are key myeloid cells initiating adaptive immune responses.
  • DCs are promising targets for cancer immunotherapy, but clinical translation remains challenging.
  • Existing research presents complexities in DC development, subsets, and functional responses.

Purpose of the Study:

  • To review current knowledge and challenges in targeting dendritic cells for cancer therapy.
  • To propose advanced technological approaches for improved DC-directed cancer treatments.
  • To advocate for standardized nomenclature for dendritic cell subsets.

Main Methods:

  • Literature review of dendritic cell biology and therapeutic targeting.
  • Analysis of emerging technologies, including multiomics approaches.
  • Discussion of challenges in clinical trial design and interpretation.

Main Results:

  • Despite their importance, effective clinical targeting of DCs in cancer has yielded limited success.
  • Technological advancements offer new possibilities for understanding and manipulating DCs.
  • A lack of standardized nomenclature complicates the identification and characterization of DC subsets.

Conclusions:

  • Multiomics approaches are essential for advancing the directed targeting of dendritic cells in clinical settings.
  • Standardized nomenclature is crucial for distinguishing distinct DC subsets and their functions.
  • Future cancer immunotherapies may benefit from refined strategies based on a deeper understanding of DCs.

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