Evidence map›Paper›PMID 35947128›Full record

ArticleBlood advances2023

Integrated transcriptome and trajectory analysis of cutaneous T-cell lymphoma identifies putative precancer populations.

Jingjing Ren, Rihao Qu, Nur-Taz Rahman, Julia M Lewis, Amber Loren Ong King, Xiaofeng Liao, Fatima N Mirza, Kacie R Carlson, Yaqing Huang, Scott Gigante and 9 more

Abstract read
In one paragraph

Article in Blood advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Mapping malignant T-cell states and immune circuits in Sézary syndrome by single-cell analysis.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
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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

19 authors.

Jingjing RenDepartment of Dermatology, Yale School of Medicine, New Haven, CT.
Rihao QuDepartment of Immunobiology, Yale School of Medicine, New Haven, CT.ORCID 0000-0002-8258-8287
Nur-Taz RahmanBioinformatics Support Program, Cushing/Whitney Medical Library, Yale School of Medicine, New Haven, CT.ORCID 0000-0002-8247-7165
Julia M LewisDepartment of Dermatology, Yale School of Medicine, New Haven, CT.
Amber Loren Ong KingDepartment of Dermatology, Yale School of Medicine, New Haven, CT.
Xiaofeng LiaoDepartment of Pharmacology, Yale School of Medicine, Yale University, New Haven, CT.
Fatima N MirzaDepartment of Dermatology, Yale School of Medicine, New Haven, CT.
Kacie R CarlsonDepartment of Dermatology, Yale School of Medicine, New Haven, CT.
Yaqing HuangDepartment of Pathology, Yale School of Medicine, New Haven, CT.ORCID 0000-0001-6803-5195
Scott GiganteComputational Biology and Bioinformatics Program, Yale University, New Haven, CT.
Benjamin EvansYale Center for Research Computing, Yale University, New Haven, CT.ORCID 0000-0003-2069-4938
Barani Kumar RajendranDepartment of Pharmacology, Yale School of Medicine, Yale University, New Haven, CT.ORCID 0000-0001-9675-7718
Suzanne XuDepartment of Dermatology, Yale School of Medicine, New Haven, CT.ORCID 0000-0001-9389-8953
Guilin WangYale Center for Genome Analysis, Yale School of Medicine, New Haven, CT.
Francine M FossSection of Medical Oncology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT.ORCID 0000-0001-7843-3162
William DamskyDepartment of Dermatology, Yale School of Medicine, New Haven, CT.
Yuval KlugerDepartment of Pathology, Yale School of Medicine, New Haven, CT.ORCID 0000-0002-3035-071X
Smita KrishnaswamyDepartment of Genetics, Yale University, New Haven, CT.
Michael GirardiDepartment of Dermatology, Yale School of Medicine, New Haven, CT.ORCID 0000-0003-1887-9343

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Short-Term Reserch Training: Students in Health SchoolsT35HL007649 · NHLBI · YALE UNIVERSITY · PI Sarwat I Chaudhry, Erica L Herzog · 1987 to 2026
$5.7M
Short Term Research Training: Students in Health Professional SchoolsT35DK104689 · NIDDK · YALE UNIVERSITY · PI LLOYD G CANTLEY, Sarwat I Chaudhry · 2015 to 2026
$2.6M
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS T35 HL007649NIDDK NIH HHS T35 DK104689
6 · The paper itself

Abstract

The incidence of cutaneous T-cell lymphoma (CTCL) increases with age, and blood involvement portends a worse prognosis. To advance our understanding of the development of CTCL and identify potential therapeutic targets, we performed integrative analyses of paired single-cell RNA and T-cell receptor (TCR) sequencing of peripheral blood CD4+ T cells from patients with CTCL to reveal disease-unifying features. The malignant CD4+ T cells of CTCL showed highly diverse transcriptomic profiles across patients, with most displaying a mature Th2 differentiation and T-cell exhaustion phenotype. TCR-CDR3 peptide prediction analysis suggested limited diversity between CTCL samples, consistent with a role for a common antigenic stimulus. Potential of heat diffusion for affinity-based trajectory embedding transition analysis identified putative precancerous circulating populations characterized by an intermediate stage of gene expression and mutation level between the normal CD4+ T cells and malignant CTCL cells. We further revealed the therapeutic potential of targeting CD82 and JAK that endow the malignant CTCL cells with survival and proliferation advantages.

Indexed as

Lymphoma, T-Cell, CutaneousSkin NeoplasmsCD4-Positive T-LymphocytesHumansReceptors, Antigen, T-CellTranscriptomeReceptors, Antigen, T-Cell

Identifiers

PMID35947128
PMCPMC9979716

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.