Evidence map›Paper›PMID 29725010›Full record

ArticleNature communications2018

A retinoic acid-dependent stroma-leukemia crosstalk promotes chronic lymphocytic leukemia progression.

Diego Farinello, Monika Wozińska, Elisa Lenti, Luca Genovese, Silvia Bianchessi, Edoardo Migliori, Nicolò Sacchetti, Alessia di Lillo, Maria Teresa Sabrina Bertilaccio, Claudia de Lalla and 18 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

22 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Lymphoid stroma in all its states.Frontiers in immunology · 2025
    Review
  4. Review
  5. Observational
  6. Review
  7. Splenectomy does not affect mouse behaviors.Neural regeneration research · 2023
    Article
  8. All-Viruses · 2023
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Cell cycle (Georgetown, Tex.) · 2020
    Review
  18. Review
  19. Modeling the Leukemia MicroenviromentFrontiers in oncology · 2020
    Review
  20. 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

28 authors at 6 institutions in 3 countries.

Diego FarinelloDivision of Experimental Oncology, IRCCS, San Raffaele Scientific Institute, Milan, 20132, Italy.
Monika WozińskaDivision of Experimental Oncology, IRCCS, San Raffaele Scientific Institute, Milan, 20132, Italy.
Elisa LentiDivision of Experimental Oncology, IRCCS, San Raffaele Scientific Institute, Milan, 20132, Italy.
Luca GenoveseDivision of Experimental Oncology, IRCCS, San Raffaele Scientific Institute, Milan, 20132, Italy.
Silvia BianchessiDivision of Experimental Oncology, IRCCS, San Raffaele Scientific Institute, Milan, 20132, Italy.
Edoardo MiglioriDivision of Experimental Oncology, IRCCS, San Raffaele Scientific Institute, Milan, 20132, Italy.
Nicolò SacchettiDivision of Experimental Oncology, IRCCS, San Raffaele Scientific Institute, Milan, 20132, Italy.
Alessia di LilloDivision of Experimental Oncology, IRCCS, San Raffaele Scientific Institute, Milan, 20132, Italy.
Maria Teresa Sabrina BertilaccioDivision of Experimental Oncology, IRCCS, San Raffaele Scientific Institute, Milan, 20132, Italy.
Claudia de LallaDivision of Immunology and Infection Disease, IRCCS, San Raffaele Scientific Institute, Milan, 20132, Italy.
Roberta ValsecchiDivision of Experimental Oncology, IRCCS, San Raffaele Scientific Institute, Milan, 20132, Italy.
Sabrina Bascones GleaveProgram for Inflammatory and Cardiovascular Disorders, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, 08003, Spain.
David LligéProgram for Inflammatory and Cardiovascular Disorders, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, 08003, Spain.
Cristina ScielzoDivision of Experimental Oncology, IRCCS, San Raffaele Scientific Institute, Milan, 20132, Italy.
Laura MauriDepartment of Medical Biotechnology and Translational Medicine, University of Milan, Milano, 20090, Italy.
Maria Grazia CiampaDepartment of Medical Biotechnology and Translational Medicine, University of Milan, Milano, 20090, Italy.
Lydia ScarfòDivision of Experimental Oncology, IRCCS, San Raffaele Scientific Institute, Milan, 20132, Italy.
Rosa BernardiDivision of Experimental Oncology, IRCCS, San Raffaele Scientific Institute, Milan, 20132, Italy.
Dejan LazarevicCenter of Translational Genomics and Bioinformatics, IRCCS, San Raffaele Scientific Institute, 20132, Milan, Italy.ORCID http://orcid.org/0000-0003-4527-290X
Blanca Gonzalez-FarreInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clinic and University of Barcelona, Calle Roselló 149-153, Barcelona, 08036, Spain.
Lucia BongiovanniPathology Unit, IRCCS San Raffaele Scientific Institute, Milan, 20132, Italy.
Elias CampoInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clinic and University of Barcelona, Calle Roselló 149-153, Barcelona, 08036, Spain.
Andrea CeruttiProgram for Inflammatory and Cardiovascular Disorders, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, 08003, Spain.
Maurilio PonzoniPathology Unit, IRCCS San Raffaele Scientific Institute, Milan, 20132, Italy.
Linda PattiniDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, 20133, Italy.ORCID http://orcid.org/0000-0003-2237-0961
Federico Caligaris-CappioDivision of Experimental Oncology, IRCCS, San Raffaele Scientific Institute, Milan, 20132, Italy.
Paolo GhiaDivision of Experimental Oncology, IRCCS, San Raffaele Scientific Institute, Milan, 20132, Italy.ORCID http://orcid.org/0000-0003-3750-7342
Andrea BrendolanDivision of Experimental Oncology, IRCCS, San Raffaele Scientific Institute, Milan, 20132, Italy. brendolan.andrea@hsr.it.
Vita-Salute San Raffaele University · ITHospital del Mar Research Institute · ESConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESUniversity of Milan · ITPolitecnico di Milano · ITThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In chronic lymphocytic leukemia (CLL), the non-hematopoietic stromal microenvironment plays a critical role in promoting tumor cell recruitment, activation, survival, and expansion. However, the nature of the stromal cells and molecular pathways involved remain largely unknown. Here, we demonstrate that leukemic B lymphocytes induce the activation of retinoid acid synthesis and signaling in the microenvironment. Inhibition of RA-signaling in stromal cells causes deregulation of genes associated with adhesion, tissue organization and chemokine secretion including the B-cell chemokine CXCL13. Notably, reducing retinoic acid precursors from the diet or inhibiting RA-signaling through retinoid-antagonist therapy prolong survival by preventing dissemination of leukemia cells into lymphoid tissues. Furthermore, mouse and human leukemia cells could be distinguished from normal B-cells by their increased expression of Rarγ2 and RXRα, respectively. These findings establish a role for retinoids in murine CLL pathogenesis, and provide new therapeutic strategies to target the microenvironment and to control disease progression.

Indexed as

AnimalsCell LineChemokine CXCL13Coculture TechniquesDisease ProgressionFemaleGene Expression Regulation, NeoplasticLeukemia, Lymphocytic, Chronic, B-CellMaleMice, Inbred C57BLSignal TransductionStromal CellsSurvival AnalysisTretinoinTumor MicroenvironmentChemokine CXCL13Cxcl13 protein, mouseTretinoin

Identifiers

PMID29725010
PMCPMC5934403
OpenAlexW2799424496

What OpenQuestion holds

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LicenceCC BY
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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.