Evidence map›Paper›PMID 41307784›Full record

ReviewDiscover oncology2025

Single-cell sequencing reveals the complexity of cutaneous T-cell lymphoma.

Jun Du, Hao-Ran Yuan, Zi-Han Lin, Yi-En Pan, Shu-Qi Zhang, Zi-Jin Ye, Jun-Ting Lyu

Abstract readReview
In one paragraph

Review in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Epigenetic dysregulation in mycosis fungoides and sézary syndrome.Frontiers in cell and developmental biology · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jun Du *Department of Hematology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
Hao-Ran Yuan *Department of Clinical Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Zi-Han Lin *Department of Clinical Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Yi-En PanDepartment of Clinical Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Shu-Qi ZhangDepartment of Clinical Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Zi-Jin YeDepartment of Clinical Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Jun-Ting LyuZhuhai Hospital of Integrated Traditional Chinese and Western Medicine, Zhuhai, 519000, China. lvjunting@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cutaneous T-cell lymphoma (CTCL) is a type of lymphoma that affects the skin and has various subtypes with different features. It can be either slow-growing or aggressive and currently has limited treatment options, causing a significant impact on patients' quality of life. However, more research is needed to fully understand the underlying causes of the disease. Single-cell sequencing technology shows promise in comprehending the complex genome and microenvironment of CTCL. By analyzing the molecular status of each tumor cell, this approach can provide insights into tumor heterogeneity, microenvironment composition, and cell state transitions, tailoring treatment strategies to individual patients. In this review, we highlight recent research progress in CTCL via single-cell sequencing, focusing on gene alterations and related biomarkers, disease origin and progression, and the tumor microenvironment. We aim to provide examples of single-cell studies that can help inform new drug discovery and contribute to improved treatment strategies for patients with CTCL.

Indexed as

CTCLGeneSingle-cell sequencingTumor microenvironment

Identifiers

PMID41307784
PMCPMC12748349

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.