Evidence map›Paper›PMID 31007846›Full record

ArticleOncotarget2019

The immune checkpoint molecules PD-1, PD-L1, TIM-3 and LAG-3 in diffuse large B-cell lymphoma.

Benjamin J Chen, Ravi Dashnamoorthy, Pallavi Galera, Vladislav Makarenko, Hong Chang, Srimoyee Ghosh, Andrew M Evens

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

60 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 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

7 authors at 4 institutions in 1 country.

Benjamin J ChenDepartment of Pathology, University of Massachusetts Medical School, Worcester, MA, USA.
Ravi DashnamoorthyDivision of Blood Disorders, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
Pallavi GaleraDepartment of Pathology, University of Massachusetts Medical School, Worcester, MA, USA.
Vladislav MakarenkoDepartment of Pathology, University of Massachusetts Medical School, Worcester, MA, USA.
Hong ChangInstitute for Clinical Research and Health Policy Studies and the Biostatistics, Epidemiology, and Research Design (BERD) Center, Tufts Medical Center, Boston, MA, USA.
Srimoyee GhoshTesaro, Waltham, MA, USA.
Andrew M EvensDivision of Blood Disorders, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
University of Massachusetts Chan Medical School · USRutgers, The State University of New Jersey · USTesaro (United States) · USTufts Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Signaling through immune checkpoint receptors may lead to T-cell exhaustion and function as immune escape mechanisms in cancer. For diffuse large B-cell lymphoma (DLBCL), the mechanistic and prognostic importance of these markers on tumor cells and the tumor microenvironment remains unclear. We determined the immunohistochemical expression of PD-1, PD-L1, TIM-3, and LAG-3 on tumor cells and on tumor infiltrating lymphocytes (TILs) among 123 DLBCL patients. TIM-3 showed positive staining on tumor cells in 39% of DLBCL cases and PD-L1 expression was noted in 15% of cases. Both PD-1 and LAG-3 were positive on tumor cells in a minority of DLBCL cases (8.3% and 7.5%, respectively), but were more widely expressed on TILs in a correlated manner. With median follow-up of 44 months (

Indexed as

immune checkpointimmunotherapyLAG-3lymphomaTIM-3

Identifiers

PMID31007846
PMCPMC6459346
OpenAlexW2940903143

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.