Evidence map›Paper›PMID 31453261›Full record

ArticleJournal of biological methods2019

Detection of clinically relevant immune checkpoint markers by multicolor flow cytometry.

Rachel A Cunningham, Martha Holland, Emily McWilliams, Frank Stephen Hodi, Mariano Severgnini

Open access · diamondAbstract read
In one paragraph

Article in Journal of biological methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Rachel A CunninghamDepartment of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, 450 Brookline, Ave Mayer Building 305, Boston, MA 02215, USA.
Martha HollandDepartment of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, 450 Brookline, Ave Mayer Building 305, Boston, MA 02215, USA.
Emily McWilliamsDepartment of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, 450 Brookline, Ave Mayer Building 305, Boston, MA 02215, USA.
Frank Stephen HodiDepartment of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, 450 Brookline, Ave Mayer Building 305, Boston, MA 02215, USA.
Mariano SevergniniDepartment of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, 450 Brookline, Ave Mayer Building 305, Boston, MA 02215, USA.
Dana-Farber Cancer Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As checkpoint inhibitor immunotherapies gain traction among cancer researchers and clinicians, the need grows for assays that can definitively phenotype patient immune cells. Herein, we present an 8-color flow cytometry panel for lineage and immune checkpoint markers and validate it using healthy human donor peripheral blood mononuclear cells (PBMCs). Flow cytometry data was generated on a BD LSR Fortessa and supported by Luminex multiplex soluble immunoassay. Our data showed significant variation between donors at both baseline and different stages of activation, as well as a trend in increasing expression of checkpoint markers on stimulated CD4

Indexed as

checkpoint markersflow cytometryimmuno-phenotypeimmunotherapy

Identifiers

PMID31453261
PMCPMC6706095
OpenAlexW2948238915

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.