Evidence map›Paper›PMID 31010835›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2019

Single-Cell Lymphocyte Heterogeneity in Advanced Cutaneous T-cell Lymphoma Skin Tumors.

Alyxzandria M Gaydosik, Tracy Tabib, Larisa J Geskin, Claire-Audrey Bayan, James F Conway, Robert Lafyatis, Patrizia Fuschiotti

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
–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

78 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  10. CD5 Expression in CTCL and Its Implications for Anti-CD5 CAR T-Cell Therapy.International journal of molecular sciences · 2025
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18 more citing papers are in PubMed but not listed here.

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.

Alyxzandria M GaydosikDepartment of Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Tracy TabibDepartment of Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Larisa J GeskinColumbia University Medical Center, New York, New York.
Claire-Audrey BayanColumbia University Medical Center, New York, New York.
James F ConwayDepartment of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Robert LafyatisDepartment of Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.ORCID 0000-0002-9398-5034
Patrizia FuschiottiDepartment of Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. paf23@pitt.edu.

Funding

Molecular Pathways of Interleukin-13 in Cutaneous T-cell LymphomaR21CA209107 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FUSCHIOTTI, PATRIZIA · 2016 to 2017
$379k
NCI NIH HHS R21 CA209107
6 · The paper itself

Abstract

purposeThe heterogeneity of tumor cells presents a major challenge to cancer diagnosis and therapy. Cutaneous T-cell lymphomas (CTCL) are a group of T lymphocyte malignancies that primarily affect skin. Lack of highly specific markers for malignant lymphocytes prevents early diagnosis, while only limited treatment options are available for patients with advanced stage CTCL. Droplet-based single-cell transcriptome analysis of CTCL skin biopsies opens avenues for dissecting patient-specific T lymphocyte heterogeneity, providing a basis for identifying specific markers for diagnosis and cure of CTCL. EXPERIMENTAL

designSingle-cell RNA-sequencing was performed by Droplet-based sequencing (10X Genomics), focusing on 14,056 CD3

resultsOur analysis revealed a large inter- and intratumor gene expression heterogeneity in the T lymphocyte subset, as well as a common gene expression signature in highly proliferating lymphocytes that was validated in multiple advanced-stage skin tumors. In addition, we established the immunologic state of reactive lymphocytes and found heterogeneity in effector and exhaustion programs across patient samples.

conclusionsSingle-cell analysis of CTCL skin tumor samples reveals patient-specific landscapes of malignant and reactive lymphocytes within the local microenvironment of each tumor, giving an unprecedented view of lymphocyte heterogeneity and identifying tumor-specific molecular signatures, with important implications for diagnosis and personalized disease treatment.

Indexed as

Gene Expression Regulation, NeoplasticGenetic HeterogeneityTumor MicroenvironmentComputational BiologyGene Expression ProfilingHumansLymphocyte ActivationLymphocyte SubsetsLymphoma, T-Cell, CutaneousNeoplasm StagingSingle-Cell AnalysisSkin Neoplasms

Identifiers

PMID31010835
PMCPMC6635080

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Registered trials

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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.