Evidence map›Paper›PMID 27780867›Full record

ArticleThe Journal of biological chemistry2016

Interferon-γ Promotes Antibody-mediated Fratricide of Acute Myeloid Leukemia Cells.

Kavin Fatehchand, Elizabeth L McMichael, Brenda F Reader, Huiqing Fang, Ramasamy Santhanam, Shalini Gautam, Saranya Elavazhagan, Payal Mehta, Nathaniel J Buteyn, Giovanna Merchand-Reyes and 8 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Targeting CD38 for acute leukemia.Frontiers in oncology · 2022
    Review
  7. Article
  8. Article
  9. Article
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  15. 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

18 authors at 2 institutions in 2 countries.

Kavin FatehchandFrom the Medical Scientist Training Program.
Elizabeth L McMichaelBiomedical Sciences Graduate Program.
Brenda F ReaderDepartment of Internal Medicine.
Huiqing FangDepartment of Internal Medicine.
Ramasamy SanthanamDepartment of Internal Medicine.
Shalini GautamDepartment of Internal Medicine.
Saranya ElavazhaganDepartment of Internal Medicine.
Payal MehtaDepartment of Internal Medicine.
Nathaniel J ButeynMolecular, Cellular, and Developmental Biology Program, and.
Giovanna Merchand-ReyesMolecular, Cellular, and Developmental Biology Program, and.
Sumithira VasuDepartment of Internal Medicine.
Xiaokui MoCenter for Biostatistics, Ohio State University, Columbus, Ohio 43210.
Don M BensonDepartment of Internal Medicine.
James S BlachlyDepartment of Internal Medicine.
William E CarsonFrom the Medical Scientist Training Program.
John C ByrdFrom the Medical Scientist Training Program.
Jonathan P ButcharDepartment of Internal Medicine, butchar.2@osu.edu.
Susheela TridandapaniFrom the Medical Scientist Training Program, tridandapani.2@osu.edu.
Institute of Biomedical Science · GBThe Ohio State University · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
TWO SIGNAL REQUIREMENT FOR NATURAL KILLER IMMUNITYP01CA095426 · NCI · OHIO STATE UNIVERSITY · PI CALIGIURI, MICHAEL A · 2002 to 2016
$29.6M
Targeted Therapy for LeukemiaR35CA197734 · NCI · UNIVERSITY OF CINCINNATI · PI BYRD, JOHN C. · 2015 to 2021
$6.6M
MOLECULAR MECHANISMS OF LUNG INFLAMMATIONT32HL007946 · NHLBI · OHIO STATE UNIVERSITY · PI WEWERS, MARK DAMIAN · 2000 to 2017
$3.1M
Myeloid cell-derived Granzyme B as an inducible enhancer of cancer immunotherapyR01CA203584 · NCI · OHIO STATE UNIVERSITY · PI BUTCHAR, JONATHAN P., TRIDANDAPANI, SUSHEELA · 2017 to 2021
$1.7M
Novel monocyte effector function in CLL immune therapyR01CA162411 · NCI · OHIO STATE UNIVERSITY · PI BYRD, JOHN C., TRIDANDAPANI, SUSHEELA · 2013 to 2017
$1.6M
NCI NIH HHS P01 CA095426NCI NIH HHS P30 CA016058NCI NIH HHS R01 CA162411NCI NIH HHS R01 CA203584NCI NIH HHS R35 CA197734NHLBI NIH HHS T32 HL007946
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is characterized by the proliferation of immature myeloid lineage blasts. Due to its heterogeneity and to the high rate of acquired drug resistance and relapse, new treatment strategies are needed. Here, we demonstrate that IFNγ promotes AML blasts to act as effector cells within the context of antibody therapy. Treatment with IFNγ drove AML blasts toward a more differentiated state, wherein they showed increased expression of the M1-related markers HLA-DR and CD86, as well as of FcγRI, which mediates effector responses to therapeutic antibodies. Importantly, IFNγ was able to up-regulate CD38, the target of the therapeutic antibody daratumumab. Because the antigen (CD38) and effector receptor (FcγRI) were both simultaneously up-regulated on the AML blasts, we tested whether IFNγ treatment of the AML cell lines THP-1 and MV4-11 could stimulate them to target one another after the addition of daratumumab. Results showed that IFNγ significantly increased daratumumab-mediated cytotoxicity, as measured both by

Indexed as

AnimalsAntibodies, MonoclonalCell Line, TumorCytotoxinsFemaleGranzymesHumansInterferon-gammaLeukemia, Myeloid, AcuteMaleMiceMice, Inbred NODMice, SCIDNeoplasm ProteinsReceptors, IgGXenograft Model Antitumor AssaysAntibodies, MonoclonalCytotoxinsdaratumumabGranzymesGZMB protein, humanIFNG protein, humanInterferon-gammaNeoplasm ProteinsReceptors, IgGantibodyFc receptorinterferonsignal transductiontumor immunology

Identifiers

PMID27780867
PMCPMC5207262
OpenAlexW2537868395

What OpenQuestion holds

Textmetadata
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.