Evidence map›Paper›PMID 33600097›Full record

ArticleTurkish journal of medical sciences2021

Investigation of the relationship between immune checkpoints and mismatch repair deficiency in recurrent and nonrecurrent glioblastoma

Emel Çakır, İsmail Saygın, Mustafa Emre Ercin

Abstract read
In one paragraph

Article in Turkish journal of medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. 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

3 authors.

Emel ÇakırDepartment of Pathology, Faculty of Medicine, Karadeniz Technical University, Trabzon, TurkeyORCID 0000-0002-9845-366X
İsmail SaygınDepartment of Pathology, Faculty of Medicine, Karadeniz Technical University, Trabzon, TurkeyORCID 0000-0002-6013-6378
Mustafa Emre ErcinDepartment of Pathology, Faculty of Medicine, Karadeniz Technical University, Trabzon, TurkeyORCID 0000-0002-7340-8045

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: Microsatellite instability tests and programmed cell death-1 (PD-1)/programmed cell death ligand-1 (PD-L1) in the immune checkpoint pathway are the tests that determine who will benefit from immune checkpoint inhibitor therapy. We aimed to show the expression of DNA mismatch repair proteins and PD-1/PD-L1 molecules that inhibit immune checkpoints, to explain the relationship between them, and to demonstrate their predictive role in recurrent and nonrecurrent glioblastoma. Materials and methods: We analyzed 27 recurrent and 47 nonrecurrent cases at our archive. We performed immunohistochemical analysis to determine expressions of PD-1, PD-L1, and mismatch repair proteins in glioblastoma. We evaluated the relationship between these two group and compared the results with the clinicopathological features. Results: The mean age of diagnosis was significantly lower in recurrent glioblastoma patients. Median survival was longer in this group. We found that PD-L1 expression was reduced in recurrent cases. Additionally, recurrent cases had a significantly higher rate of microsatellite instability. Loss of PMS2 was high in both group but was substantially higher in recurrent cases. Conclusion: The presence of microsatellite instability and low PD-L1 levels, which are among the causes of treatment resistance in glioblastoma, were found to be compatible with the literature in our study, with higher rates in recurrent cases. In recurrent cases with higher mutations and where immunotherapy resistance is expected less, low PD-L1 levels thought that different combinations with other immune checkpoint inhibitors can be tried as predictive and prognostic marker in GBM patients.

Indexed as

B7-H1 AntigenBrain NeoplasmsColorectal NeoplasmsImmune Checkpoint InhibitorsNeoplastic Syndromes, HereditaryAdolescentAdultAgedAged, 80 and overChildChild, PreschoolDNA Mismatch RepairFemaleGlioblastomaHumansMaleB7-H1 AntigenImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorGlioblastomamicrosatellite instabilitymismatch repairprogrammed cell death protein 1 (PD-1)programmed cell death protein ligand 1 (PD-L1)

Identifiers

PMID33600097
PMCPMC8569775

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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.