Evidence map›Paper›PMID 33081115›Full record

ArticleAntibodies (Basel, Switzerland)2020

Natural Killer (NK) Cell Expression of CD2 as a Predictor of Serial Antibody-Dependent Cell-Mediated Cytotoxicity (ADCC).

Jennifer J-J Tang, Alexander P Sung, Michael J Guglielmo, Lydia Navarrete-Galvan, Doug Redelman, Julie Smith-Gagen, Dorothy Hudig

Abstract read
In one paragraph

Article in Antibodies (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
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

7 authors.

Jennifer J-J TangDepartment of Microbiology and Immunology, Reno School of Medicine, University of Nevada, 1664 N. Virginia St., Reno, NV 89557, USA.
Alexander P SungDepartment of Microbiology and Immunology, Reno School of Medicine, University of Nevada, 1664 N. Virginia St., Reno, NV 89557, USA.
Michael J GuglielmoDepartment of Microbiology and Immunology, Reno School of Medicine, University of Nevada, 1664 N. Virginia St., Reno, NV 89557, USA.
Lydia Navarrete-GalvanDepartment of Microbiology and Immunology, Reno School of Medicine, University of Nevada, 1664 N. Virginia St., Reno, NV 89557, USA.
Doug RedelmanDepartment of Physiology and Cell Biology, Reno School of Medicine, University of Nevada, 1664 N. Virginia St., Reno, NV 89557, USA.
Julie Smith-GagenSchool of Community Health Sciences, University of Nevada, Reno, 1664 N. Virginia St., Reno, NV 89557, USA.
Dorothy HudigDepartment of Microbiology and Immunology, Reno School of Medicine, University of Nevada, 1664 N. Virginia St., Reno, NV 89557, USA.ORCID 0000-0001-5952-208X

Funding

NIH HHS R21 AI117491, P30 GM110767 and GM103440
6 · The paper itself

Abstract

NK cell ADCC supports monoclonal antibody anti-tumor therapies. We investigated serial ADCC and whether it could be predicted by NK phenotypes, including expression of CD16A, CD2 and perforin. CD16A, the NK receptor for antibodies, has AA158 valine or phenylalanine variants with different affinities for IgG. CD2, a costimulatory protein, associates with CD16A and can augment CD16A-signaling. Pore-forming perforin is essential for rapid NK-mediated killing. NK cells were monitored for their ADCC serial killing frequency (KF). KF is the average number of target cells killed per cell by a cytotoxic cell population. KF comparisons were made at 1:4 CD16pos NK effector:target ratios. ADCC was toward Daudi cells labeled with

Indexed as

ADCCantibody-dependent cell-mediated cytotoxicityCD16ACD2natural killer cellNKserial killing

Identifiers

PMID33081115
PMCPMC7709134

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.