Evidence map›Paper›PMID 33188167›Full record

ArticleCell death & disease2020

Quantifying the efficacy of checkpoint inhibitors on CD8

Matthew Ryan Sullivan, Giovanni Stefano Ugolini, Saheli Sarkar, Wenjing Kang, Evan Carlton Smith, Seamus Mckenney, Tania Konry

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2020. 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
1.1field-weighted citation impact, top 20% 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, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Dostarlimab: A Review.Biomolecules · 2022
    Review
  12. Rethinking the immunotherapy numbers game.Journal for immunotherapy of cancer · 2022
    Article
  13. Article
  14. Immune Checkpoint Inhibitors Regulate KFrontiers in pharmacology · 2021
    Article
  15. Microfluidics-Based Single-Cell Research for Intercellular Interaction.Frontiers in cell and developmental biology · 2021
    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

7 authors at 1 institution in 1 country.

Matthew Ryan SullivanDepartment of Pharmaceutical Sciences, School of Pharmacy, Bouve College of Health Sciences, Northeastern University, 140 The Fenway, Boston, MA, 02115, USA.
Giovanni Stefano UgoliniDepartment of Pharmaceutical Sciences, School of Pharmacy, Bouve College of Health Sciences, Northeastern University, 140 The Fenway, Boston, MA, 02115, USA.
Saheli SarkarDepartment of Pharmaceutical Sciences, School of Pharmacy, Bouve College of Health Sciences, Northeastern University, 140 The Fenway, Boston, MA, 02115, USA.
Wenjing KangDepartment of Pharmaceutical Sciences, School of Pharmacy, Bouve College of Health Sciences, Northeastern University, 140 The Fenway, Boston, MA, 02115, USA.
Evan Carlton SmithDepartment of Pharmaceutical Sciences, School of Pharmacy, Bouve College of Health Sciences, Northeastern University, 140 The Fenway, Boston, MA, 02115, USA.
Seamus MckenneyDepartment of Pharmaceutical Sciences, School of Pharmacy, Bouve College of Health Sciences, Northeastern University, 140 The Fenway, Boston, MA, 02115, USA.
Tania KonryDepartment of Pharmaceutical Sciences, School of Pharmacy, Bouve College of Health Sciences, Northeastern University, 140 The Fenway, Boston, MA, 02115, USA. t.konry@northeastern.edu.
Northeastern University · US

Funding

Determining treatment sensitivity in B cell lymphoma by novel microfluidics-based NK cell immunogenicity platformR33CA223908 · NCI · NORTHEASTERN UNIVERSITY · PI EVENS, ANDREW M, HUANG, TONY JUN · 2018 to 2020
$1.2M
An integrated acoustofluidic droplet-sorting platform for classification of lymphocyte activity and functional phenotyping at single cell levelR01GM127714 · NIGMS · NORTHEASTERN UNIVERSITY · PI KONRY, TANIA TALI · 2018 to 2021
$1.2M
NCI NIH HHS R33 CA223908NIGMS NIH HHS R01 GM127714
6 · The paper itself

Abstract

The inhibition of the PD1/PDL1 pathway has led to remarkable clinical success for cancer treatment in some patients. Many, however, exhibit little to no response to this treatment. To increase the efficacy of PD1 inhibition, additional checkpoint inhibitors are being explored as combination therapy options. TSR-042 and TSR-033 are novel antibodies for the inhibition of the PD1 and LAG3 pathways, respectively, and are intended for combination therapy. Here, we explore the effect on cellular interactions of TSR-042 and TSR-033 alone and in combination at the single-cell level. Utilizing our droplet microfluidic platform, we use time-lapse microscopy to observe the effects of these antibodies on calcium flux in CD8

Indexed as

Antibodies, MonoclonalCD8-Positive T-LymphocytesHumansImmunotherapyT-Lymphocytes, CytotoxicAntibodies, Monoclonal

Identifiers

PMID33188167
PMCPMC7666200
OpenAlexW3101837885

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.