Evidence map›Paper›PMID 35390145›Full record

ArticleBlood advances2023

Single-cell analysis of Sézary syndrome reveals novel markers and shifting gene profiles associated with treatment.

Nicholas Borcherding, Kevin J Severson, Nicholas Henderson, Luana S Ortolan, Allison C Rosenthal, Andrew M Bellizzi, Vincent Liu, Brian K Link, Aaron R Mangold, Ali Jabbari

Open access · goldAbstract 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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.9field-weighted citation impact, top 5% of its field
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

19 citing papers in PubMed, 25 citations in OpenAlex.

  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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  15. GATA-3-dependent Gene Transcription is Impaired upon HDAC Inhibition.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
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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

10 authors at 3 institutions in 1 country.

Nicholas BorcherdingDepartment of Pathology, University of Iowa, Iowa City, IA.ORCID 0000-0003-1427-6342
Kevin J SeversonDepartment of Dermatology, Mayo Clinic, Scottsdale, AZ.ORCID 0000-0001-8650-3140
Nicholas HendersonDepartment of Dermatology, University of Iowa, Iowa City, IA.
Luana S OrtolanDepartment of Dermatology, University of Iowa, Iowa City, IA.ORCID 0000-0003-1153-9987
Allison C RosenthalDepartment of Hematology Oncology, Mayo Clinic, Phoenix, AZ.
Andrew M BellizziDepartment of Pathology, University of Iowa, Iowa City, IA.ORCID 0000-0002-8264-6379
Vincent LiuDepartment of Pathology, University of Iowa, Iowa City, IA.ORCID 0000-0003-1987-9521
Brian K LinkHolden Comprehensive Cancer Center, University of Iowa, Iowa City, IA.ORCID 0000-0001-5084-0698
Aaron R MangoldDepartment of Dermatology, Mayo Clinic, Scottsdale, AZ.
Ali JabbariDepartment of Pathology, University of Iowa, Iowa City, IA.ORCID 0000-0002-8559-7314
University of Iowa · USMayo Clinic in Arizona · USWinnMed · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI AKHILESH PANDEY · 1985 to 2026
$151.3M
Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Christopher K Laubenthal · 2000 to 2026
$70.0M
The Role of Monocytes in non-Hodgkin LymphomaP50CA097274 · NCI · UNIVERSITY OF IOWA · PI LENTZ, STEVEN R · 2002 to 2021
$45.7M
Defining T helper cell associated cytokines and mechanisms in Alopecia AreataK08AR069111 · NIAMS · UNIVERSITY OF IOWA · PI JABBARI, ALI · 2016 to 2020
$854k
The role of paracrine WNT5A/RYK in ErbB2-driven tumorigenesisF30CA206255 · NCI · UNIVERSITY OF IOWA · PI BORCHERDING, NICHOLAS · 2017 to 2020
$143k
Determining the role of T cell effector functions in Alopecia AreataI01BX004907 · VA · IOWA CITY VA MEDICAL CENTER · PI JABBARI, ALI · 2020 to 2023
–
BLRD VA I01 BX004907NCI NIH HHS F30 CA206255NCI NIH HHS P30 CA015083NCI NIH HHS P30 CA086862NCI NIH HHS P50 CA097274NIAMS NIH HHS K08 AR069111
6 · The paper itself

Abstract

Cutaneous T-cell lymphomas (CTCLs) are a spectrum of diseases with varied clinical courses caused by malignant clonal proliferation of skin-tropic T cells. Most patients have an indolent disease course managed with skin-directed therapies. In contrast, others, especially in advanced stages of disease or with specific forms, have aggressive progression and poor median survival. Sézary syndrome (SS), a leukemic variant of CTCL, lacks highly consistent phenotypic and genetic markers that may be leveraged to prevent the delay in diagnosis experienced by most patients with CTCL and could be useful for optimal treatment selection. Using single-cell mRNA and T-cell receptor sequencing of peripheral blood immune cells in SS, we extensively mapped the transcriptomic variations of nearly 50 000 T cells of both malignant and nonmalignant origins. We identified potential diverging SS cell populations, including quiescent and proliferative populations shared across multiple patients. In particular, the expression of AIRE was the most highly upregulated gene in our analysis, and AIRE protein expression could be observed over a variety of CTCLs. Furthermore, within a single patient, we were able to characterize differences in cell populations by comparing malignant T cells over the course of treatment with histone deacetylase inhibition and photopheresis. New cellular clusters after progression of the therapy notably exhibited increased expression of the transcriptional factor FOXP3, a master regulator of regulatory T-cell function, raising the potential implication of an evolving mechanism of immune evasion.

Indexed as

Lymphoma, T-Cell, CutaneousPhotopheresisSezary SyndromeSkin NeoplasmsHumansSingle-Cell Analysis

Identifiers

PMID35390145
PMCPMC9881051
OpenAlexW4224254698

What OpenQuestion 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 OpenQuestion graph.