Evidence map›Paper›PMID 32012878›Full record

ArticleCancers2020

Targeting CD47 as a Novel Immunotherapy for Multiple Myeloma.

Jennifer Sun, Barbara Muz, Kinan Alhallak, Matea Markovic, Shannon Gurley, Zhe Wang, Nicole Guenthner, Katherine Wasden, Mark Fiala, Justin King and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

59 citing papers in PubMed, 85 citations in OpenAlex.

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  14. Deciphering the role of CD47 in cancer immunotherapy.Journal of advanced 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

14 authors at 3 institutions in 2 countries.

Jennifer SunDepartment of Radiation Oncology, Cancer Biology Division, Washington University in St. Louis School of Medicine, St. Louis, MO 63108, USA.
Barbara MuzDepartment of Radiation Oncology, Cancer Biology Division, Washington University in St. Louis School of Medicine, St. Louis, MO 63108, USA.
Kinan AlhallakDepartment of Radiation Oncology, Cancer Biology Division, Washington University in St. Louis School of Medicine, St. Louis, MO 63108, USA.
Matea MarkovicDepartment of Pharmaceutical and Administrative Sciences, St. Louis College of Pharmacy, St. Louis, MO 63110, USA.
Shannon GurleyDepartment of Radiation Oncology, Cancer Biology Division, Washington University in St. Louis School of Medicine, St. Louis, MO 63108, USA.
Zhe WangDepartment of Radiation Oncology, Cancer Biology Division, Washington University in St. Louis School of Medicine, St. Louis, MO 63108, USA.
Nicole GuenthnerDepartment of Radiation Oncology, Cancer Biology Division, Washington University in St. Louis School of Medicine, St. Louis, MO 63108, USA.
Katherine WasdenDepartment of Radiation Oncology, Cancer Biology Division, Washington University in St. Louis School of Medicine, St. Louis, MO 63108, USA.
Mark FialaDepartment of Medicine, Oncology Division, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, USA.
Justin KingDepartment of Medicine, Oncology Division, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, USA.
Daniel KohnenDepartment of Medicine, Oncology Division, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, USA.
Noha Nabil SalamaDepartment of Pharmaceutical and Administrative Sciences, St. Louis College of Pharmacy, St. Louis, MO 63110, USA.
Ravi VijDepartment of Medicine, Oncology Division, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, USA.
Abdel Kareem AzabDepartment of Radiation Oncology, Cancer Biology Division, Washington University in St. Louis School of Medicine, St. Louis, MO 63108, USA.
Washington University in St. Louis · USCairo University · EGUniversity of Health Sciences and Pharmacy · US

Funding

Project 2 - Radiation-Induced Treatment of Multiple Myeloma using NanoparticlesU54CA199092 · NCI · WASHINGTON UNIVERSITY · PI ACHILEFU, SAMUEL · 2015 to 2019
$11.5M
Washington University Institute of Clinical and Translational Sciences (TL1)TL1TR002344 · NCATS · WASHINGTON UNIVERSITY · PI Jay F. Piccirillo · 2017 to 2026
$8.5M
NCATS NIH HHS TL1TR002344NCI NIH HHS U54 CA199092NCI NIH HHS U54CA199092Vasculox Inc NA
6 · The paper itself

Abstract

Multiple myeloma (MM) remains to be incurable despite recent therapeutic advances. CD47, an immune checkpoint known as the "don't eat me" signal, is highly expressed on the surface of various cancers, allowing cancer cells to send inhibitory signals to macrophages and impede phagocytosis and immune response. In this study, we hypothesized that blocking the "don't eat me" signaling using an anti-CD47 monoclonal antibody will induce killing of MM cells. We report that CD47 expression was directly correlated with stage of the disease, from normal to MGUS to MM. Moreover, MM cells had remarkably higher CD47 expression than other cell populations in the bone marrow. These findings indicate that CD47 is specifically expressed on MM and can be used as a potential therapeutic target. Further, blocking of CD47 using an anti-CD47 antibody induced immediate activation of macrophages, which resulted in induction of phagocytosis and killing of MM cells in the 3D-tissue engineered bone marrow model, as early as 4 hours. These results suggest that macrophage checkpoint immunotherapy by blocking the CD47 "don't eat me" signal is a novel and promising strategy for the treatment of MM, providing a basis for additional studies to validate these effects in vivo and in patients.

Indexed as

3D tissue culture modelcheckpoint inhibitorsmacrophagesmultiple myeloma

Identifiers

PMID32012878
PMCPMC7072283
OpenAlexW3003642690

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.