Evidence map›Paper›PMID 37654003›Full record

ArticleJournal of cellular and molecular medicine2023

Effects of blocking CD24 and CD47 'don't eat me' signals in combination with rituximab in mantle-cell lymphoma and chronic lymphocytic leukaemia.

Andrea Aroldi, Mario Mauri, Daniele Ramazzotti, Matteo Villa, Federica Malighetti, Valentina Crippa, Federica Cocito, Chiara Borella, Elisa Bossi, Carolina Steidl and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Surprising magic of CD24 beyond cancer.Frontiers in immunology · 2023
    Review
  10. 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

16 authors at 5 institutions in 2 countries.

Andrea AroldiHematology Division, San Gerardo Hospital, Monza, Italy.ORCID 0000-0002-3428-5353
Mario MauriDepartment of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.ORCID 0000-0002-5876-6215
Daniele RamazzottiDepartment of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Matteo VillaDepartment of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.ORCID 0000-0002-6534-642X
Federica MalighettiDepartment of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Valentina CrippaDepartment of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Federica CocitoHematology Division, San Gerardo Hospital, Monza, Italy.
Chiara BorellaHematology Division, San Gerardo Hospital, Monza, Italy.
Elisa BossiHematology Division, San Gerardo Hospital, Monza, Italy.
Carolina SteidlLymphoma Unit, Department of Onco-Hematology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Chiara ScolloTransfusion Medicine Unit, San Gerardo Hospital, Monza, Italy.
Claudia VoenaDepartment of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy.
Roberto ChiarleDepartment of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy.
Luca MologniDepartment of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Rocco PiazzaHematology Division, San Gerardo Hospital, Monza, Italy.
Carlo Gambacorti-PasseriniHematology Division, San Gerardo Hospital, Monza, Italy.ORCID 0000-0001-6058-515X
Azienda Ospedaliera San Gerardo · ITUniversity of Milano-Bicocca · ITBoston Children's Hospital · USUniversity of Turin · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mantle-cell lymphoma (MCL) is a B-cell non-Hodgkin Lymphoma (NHL) with a poor prognosis, at high risk of relapse after conventional treatment. MCL-associated tumour microenvironment (TME) is characterized by M2-like tumour-associated macrophages (TAMs), able to interact with cancer cells, providing tumour survival and resistance to immuno-chemotherapy. Likewise, monocyte-derived nurse-like cells (NLCs) present M2-like profile and provide proliferation signals to chronic lymphocytic leukaemia (CLL), a B-cell malignancy sharing with MCL some biological and phenotypic features. Antibodies against TAMs targeted CD47, a 'don't eat me' signal (DEMs) able to quench phagocytosis by TAMs within TME, with clinical effectiveness when combined with Rituximab in pretreated NHL. Recently, CD24 was found as valid DEMs in solid cancer. Since CD24 is expressed during B-cell differentiation, we investigated and identified consistent CD24 in MCL, CLL and primary human samples. Phagocytosis increased when M2-like macrophages were co-cultured with cancer cells, particularly in the case of paired DEMs blockade (i.e. anti-CD24 + anti-CD47) combined with Rituximab. Similarly, unstimulated CLL patients-derived NLCs provided increased phagocytosis when DEMs blockade occurred. Since high levels of CD24 were associated with worse survival in both MCL and CLL, anti-CD24-induced phagocytosis could be considered for future clinical use, particularly in association with other agents such as Rituximab.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellLymphoma, Mantle-CellAdultCD24 AntigenCD47 AntigenHumansNeoplasm Recurrence, LocalPhagocytosisRituximabTumor MicroenvironmentCD24 AntigenCD24 protein, humanCD47 AntigenCD47 protein, humanRituximabchronic lymphocytic leukemiadon't eat me signalimmunotherapymantle-cell lymphomanon hodgkin lymphoma

Identifiers

PMID37654003
PMCPMC10568669
OpenAlexW4386347634

What OpenQuestion holds

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LicenceCC BY
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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.