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November 1, 2025American Journal of Clinical PathologyOpen Access

166 Xenium-based in situ spatial transcriptomics identifies poor prognostic markers in relapsed angioimmunoblastic T-cell lymphoma

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Authors

JDJiyan DongXFXiaoli FengXXXiaoyue Xiao

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Overview

Spatial transcriptomics identifies prognostic markers for relapsed angioimmunoblastic T-cell lymphoma, highlighting tumor microenvironment variations.

Key Points

  • This research aims to identify prognostic markers in relapsed angioimmunoblastic T-cell lymphoma using spatial transcriptomics.
  • Analyzed ten formalin-fixed, paraffin-embedded samples of NR-AITL and RR-AITL.
  • Utilized Xenium technology for profiling tumor microenvironment (TME).
  • Annotated cell types with Seurat; proliferation scores computed via AUCell; stemness using CytoTRACE.
  • Identified differentially expressed genes (DEGs) in TFH clusters using the FindAllMarkers function in R.
  • Delineated ten T-cell clusters, including four TFH subsets.
  • TFH-3 showed the highest proliferation and stemness scores and was more abundant in NR-AITL than RR-AITL.
  • NEIL3 was identified as uniquely upregulated in TFH-3, correlating with poor overall survival in PTCL datasets.

Cite This Study

Dong et al. (2025) studied this question.

synapsesocial.com/papers/6925436cc0ce034ddc3586cahttps://doi.org/10.1093/ajcp/aqaf121.238
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Xenium‐based spatial transcriptomic analyses uncover prognosis‐associated heterogeneity in the tumor microenvironment ( <scp>TME</scp> ) of angioimmunoblastic T‐cell lymphoma ( <scp>AITL</scp> )2026
  2. 2Integrative profiling of t-follicular helper cells heterogeneity and tumor microenvironment signatures in angioimmunoblastic T cell lymphoma2025
  3. 3Deciphering tph cells as prognostic drivers of angioimmunoblastic T-cell lymphoma2025
  4. 4Integrating genomic and transcriptome features for characterization and prognostic prediction of angioimmunoblastic T-cell lymphoma2025
  5. 5Single-cell transcriptomic mapping of immune heterogeneity across angioimmunoblastic T-cell lymphoma subtypes2026