Evidence map›Paper›PMID 35413113›Full record

ArticleBlood advances2022

Sézary syndrome patient-derived models allow drug selection for personalized therapy.

Fernando Gallardo, Evelyn Andrades, Arnau Iglesias, Jessica González, Laura Solé, Yolanda Guillén, Gonzalo Blanco, Luis Colomo, Eva Gimeno, David Conde and 8 more

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

18 authors at 5 institutions in 1 country.

Fernando GallardoDermatology Department, Hospital del Mar, Universitat Autònoma de Barcelona, Barcelona, Spain.
Evelyn AndradesDermatology Department, Hospital del Mar, Universitat Autònoma de Barcelona, Barcelona, Spain.
Arnau IglesiasCancer and Stem Cells Research Group, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), and.ORCID 0000-0002-7195-7868
Jessica GonzálezCancer and Stem Cells Research Group, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), and.
Laura SoléCancer and Stem Cells Research Group, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), and.ORCID 0000-0002-3195-0565
Yolanda GuillénCancer and Stem Cells Research Group, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), and.ORCID 0000-0001-8673-6470
Gonzalo BlancoPathology Department, Hospital del Mar, CIBERONC, Barcelona, Spain.ORCID 0000-0001-6557-3764
Luis ColomoPathology Department, Hospital del Mar, CIBERONC, Barcelona, Spain.
Eva GimenoHematology Department.ORCID 0000-0002-3534-6189
David CondePharmacy Department, and.ORCID 0000-0002-9414-9409
Eva RodriguezNephrology Department, Hospital del Mar, Barcelona, Spain.
Isabel Bielsa-MarsoDermatology Department, Hospital Germans Trias i Pujol, Barcelona, Spain; and.
Mar IglesiasPathology Department, Hospital del Mar, CIBERONC, Barcelona, Spain.
Beatriz BellosilloPathology Department, Hospital del Mar, CIBERONC, Barcelona, Spain.ORCID 0000-0002-5335-2726
Ramon M PujolDermatology Department, Hospital del Mar, Universitat Autònoma de Barcelona, Barcelona, Spain.
José R RegueiroMicrobiology and Immunology Department, Universidad Complutense de Madrid, Madrid, Spain.ORCID 0000-0001-8442-7762
Anna BigasCancer and Stem Cells Research Group, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), and.ORCID 0000-0003-4801-6899
Lluís EspinosaCancer and Stem Cells Research Group, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), and.ORCID 0000-0002-2897-4099
Hospital del Mar Research Institute · ESHospital Del Mar · ESUniversitat Autònoma de Barcelona · ESHospital Universitari Germans Trias i Pujol · ESUniversidad Complutense de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current therapeutic approaches for Sézary syndrome (SS) do not achieve a significant improvement in long-term survival of patients, and they are mainly focused on reducing blood tumor burden to improve quality of life. Eradication of SS is hindered by its genetic and molecular heterogeneity. Determining effective and personalized treatments for SS is urgently needed. The present work compiles the current methods for SS patient-derived xenograft (PDX) generation and management to provide new perspectives on treatment for patients with SS. Mononuclear cells were recovered by Ficoll gradient separation from fresh peripheral blood of patients with SS (N = 11). A selected panel of 26 compounds that are inhibitors of the main signaling pathways driving SS pathogenesis, including NF-kB, MAPK, histone deacetylase, mammalian target of rapamycin, or JAK/STAT, was used for in vitro drug sensitivity testing. SS cell viability was evaluated by using the CellTiter-Glo_3D Cell Viability Assay and flow cytometry analysis. We validated one positive hit using SS patient-derived Sézary cells xenotransplanted (PDX) into NOD-SCID-γ mice. In vitro data indicated that primary malignant SS cells all display different sensitivities against specific pathway inhibitors. In vivo validation using SS PDX mostly reproduced the responses to the histone deacetylase inhibitor panobinostat that were observed in vitro. Our investigations revealed the possibility of using high-throughput in vitro testing followed by PDX in vivo validation for selective targeting of SS tumor cells in a patient-specific manner.

Indexed as

Sezary SyndromeSkin NeoplasmsAnimalsDisease Models, AnimalHumansMammalsMiceMice, Inbred NODMice, SCIDQuality of Life

Identifiers

PMID35413113
PMCPMC9198935
OpenAlexW4223449477

What OpenQuestion holds

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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.