Evidence map›Paper›PMID 34497417›Full record

ArticleNature2021

Inter-cellular CRISPR screens reveal regulators of cancer cell phagocytosis.

Roarke A Kamber, Yoko Nishiga, Bhek Morton, Allison M Banuelos, Amira A Barkal, Felipe Vences-Catalán, Mingxin Gu, Daniel Fernandez, Jose A Seoane, David Yao and 8 more

Open access · greenAbstract read
In one paragraph

Article in Nature, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed
11.0field-weighted citation impact, top 1% 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

120 citing papers in PubMed, 179 citations in OpenAlex.

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60 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

18 authors at 3 institutions in 1 country.

Roarke A KamberDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Yoko NishigaDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Bhek MortonDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Allison M BanuelosInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Amira A BarkalInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Felipe Vences-CatalánDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Mingxin GuDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Daniel FernandezProgram in Chemistry, Engineering, and Medicine for Human Health (ChEM-H), Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-6221-152X
Jose A SeoaneStanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-3856-9177
David YaoDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Katherine LiuDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Sijie LinDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Kaitlyn SpeesDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Christina CurtisDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Livnat Jerby-ArnonDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-4037-386X
Irving L WeissmanInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-9077-7467
Julien SageDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-8928-9968
Michael C BassikDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA. bassik@stanford.edu.ORCID http://orcid.org/0000-0001-5185-8427
Stanford University · USStanford Health Care · USChan Zuckerberg Initiative (United States) · US

Funding

Stem Cell Biology, Cancer Stem Cell Biology, and Cancer ImmunotherapyR35CA220434 · NCI · STANFORD UNIVERSITY · PI WEISSMAN, IRVING L. · 2017 to 2023
$6.7M
Investigating molecular and cellular mechanisms of SCLC development to identify novel therapeutic strategiesR35CA231997 · NCI · STANFORD UNIVERSITY · PI SAGE, JULIEN · 2019 to 2025
$6.2M
Novel therapeutic approaches for enhancing anti-tumor immunity in SCLCU01CA213273 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BYERS, LAUREN AVERETT, HEYMACH, JOHN V. · 2017 to 2021
$3.0M
Accelerating drug development and repurposing using systematic genetic interactioDP2HD084069 · NICHD · STANFORD UNIVERSITY · PI BASSIK, MICHAEL C · 2014 to 2014
$2.4M
Programmed Cell Removal (PrCR) by Macrophages: recognition and phagocytosis of target cellsR01AI143889 · NIAID · STANFORD UNIVERSITY · PI WEISSMAN, IRVING L. · 2020 to 2024
$2.0M
NCI NIH HHS R35 CA220434NCI NIH HHS R35 CA231997NCI NIH HHS U01 CA213273NIAID NIH HHS R01 AI143889NICHD NIH HHS DP2 HD084069
6 · The paper itself

Abstract

Monoclonal antibody therapies targeting tumour antigens drive cancer cell elimination in large part by triggering macrophage phagocytosis of cancer cells

Indexed as

CRISPR-Cas SystemsAnimalsAntibodies, MonoclonalAntibody-Dependent Cell CytotoxicityAntigens, NeoplasmCD47 AntigenCell Line, TumorCells, CulturedCytophagocytosisFemaleGene EditingGene Knockout TechniquesHumansLymphoma, T-CellMacrophagesMaleAntibodies, MonoclonalAntigens, NeoplasmAPMAP protein, humanCD47 AntigenCD47 protein, humanGPR84 protein, humanMembrane GlycoproteinsReceptors, G-Protein-Coupled

Identifiers

PMID34497417
PMCPMC9419706
OpenAlexW3197752237

What OpenQuestion holds

Textmetadata
LicenceTDM
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.