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Related Concept Videos

The Tumor Microenvironment02:17

The Tumor Microenvironment

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Every normal cell or tissue is embedded in a complex local environment called stroma, consisting of different cell types, a basal membrane, and blood vessels. As normal cells mutate and develop into cancer cells, their local environment also changes to allow cancer progression. The tumor microenvironment (TME) consists of a complex cellular matrix of stromal cells and the developing tumor. The cross-talk between cancer cells and surrounding stromal cells is critical to disrupt normal tissue...
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Related Experiment Video

Updated: Jul 12, 2025

Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors
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Location, location, location: mapping the lymphoma tumor microenvironment using spatial transcriptomics.

Keir Pickard1,2, Emily Stephenson1, Alex Mitchell2

  • 1Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.

Frontiers in Oncology
|October 23, 2023
PubMed
Summary
This summary is machine-generated.

Spatial transcriptomics offers a new way to study the lymphoma tumor microenvironment (TME). This technology helps understand how lymphoma cells interact with immune cells and evade the immune system, paving the way for personalized medicine.

Keywords:
lymphomapersonalized medicinesingle cell RNA sequencingspatial transcriptomicstumor microenvironment

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Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Lymphomas are diverse lymphoid neoplasms with variable clinical behaviors.
  • Tumor microenvironment (TME) cells influence lymphoma progression and treatment response.
  • Current single-cell RNA sequencing lacks spatial context for TME interactions.

Purpose of the Study:

  • To explore the application of spatial transcriptomics in lymphoma research.
  • To understand lymphoma-TME cell interactions and immune evasion mechanisms.
  • To highlight the potential of spatial transcriptomics for personalized lymphoma therapy.

Main Methods:

  • Review of current spatial transcriptomic technologies.
  • Analysis of gene expression within the lymphoma tissue context.
  • Integration of spatial data with existing molecular and genetic profiling.

Main Results:

  • Spatial transcriptomics enhances understanding of the immunosuppressive TME in lymphoma.
  • Identifies key interactions between lymphoma and immune cells within the TME.
  • Provides spatial context previously lacking in single-cell studies.

Conclusions:

  • Spatial transcriptomics is a powerful tool for dissecting lymphoma biology.
  • Further studies will advance personalized medicine approaches for lymphoma patients.
  • Understanding TME spatial architecture is crucial for developing novel therapeutic strategies.