A single-cell atlas identifies oncogenic transcriptional programs and immune escape mechanisms in CTCL

Chenguang Wang1, Xiangrong Geng1, Suhaib Abdelrahman1

  • 1University of Michigan, Ann Arbor, Michigan, United States.

Blood
|June 30, 2026
PubMed

Insights

This study reveals new therapeutic targets in cutaneous T-cell lymphoma (CTCL) by analyzing a large dataset of patient cells. Identifying specific gene activity in cancer cells and their environment offers hope for better treatments.

Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Primary cutaneous T-cell lymphomas (CTCL) are aggressive cancers with poor outcomes in advanced stages.
  • Current therapies offer limited durable responses, highlighting the need for novel treatment strategies.

Purpose of the Study:

  • To create the largest single-cell RNA sequencing (scRNA-seq) atlas of CTCL, encompassing over 2 million cells from 116 patients.
  • To identify oncogenic transcriptional programs in malignant T cells and their interaction with the tumor microenvironment (TME).
  • To uncover potential therapeutic vulnerabilities and guide the development of new combinatorial treatments.

Main Methods:

  • Compiled and analyzed a comprehensive scRNA-seq dataset from CTCL patient skin and blood samples.
  • Identified recurrent transcriptional programs in malignant T cells, including GATA-3 dependent pathways.
  • Characterized the cellular composition and immune landscape of the CTCL TME.

Main Results:

  • Discovered specific transcriptional programs in malignant T cells, particularly in advanced-stage disease and large cell transformation.
  • Found that many identified transcriptional programs are targetable with existing drugs (e.g., HDAC, XPO1, CDK9 inhibitors).
  • Characterized the CTCL TME as a complex ecosystem involving exhausted T cells, regulatory T cells, specific myeloid cells, and fibroblasts.

Conclusions:

  • The CTCL atlas provides a valuable resource for understanding disease biology and identifying therapeutic targets.
  • Targeting identified oncogenic transcriptional programs and TME components offers promising avenues for novel combinatorial therapies, including immune checkpoint inhibitors.
  • Findings support the rational design of combination strategies to improve outcomes for advanced-stage CTCL patients.

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