Evidence map›Paper›PMID 32594230›Full record

ArticleVirchows Archiv : an international journal of pathology2020

Correlation of PD-L1 expression with immunohistochemically determined molecular profile in endometrial carcinomas.

Gozde Kir, Tuce Soylemez, Zeynep Cagla Olgun, Abdullah Aydin, W Glenn McCluggage

Abstract read
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In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.3field-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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Article
  6. Article
  7. Article
  8. Tumor-TME Bipartite Landscape of PD-1/PD-L1 in Endometrial Cancers.International journal of molecular sciences · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Article
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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 3 institutions in 2 countries.

Gozde KirDepartment of Pathology, Istanbul Medeniyet University Goztepe Training and Research Hospital, Dr. Erkin Caddesi, Göztepe Egt. ve Aras. Hastanesi Patoloji Laboratuarı 34720 Kadıköy, Istanbul, Turkey. gozkir@yahoo.com.ORCID https://orcid.org/0000-0003-1933-9824
Tuce SoylemezDepartment of Pathology, Istanbul Medeniyet University Goztepe Training and Research Hospital, Dr. Erkin Caddesi, Göztepe Egt. ve Aras. Hastanesi Patoloji Laboratuarı 34720 Kadıköy, Istanbul, Turkey.
Zeynep Cagla OlgunDepartment of Pathology, Istanbul Medeniyet University Goztepe Training and Research Hospital, Dr. Erkin Caddesi, Göztepe Egt. ve Aras. Hastanesi Patoloji Laboratuarı 34720 Kadıköy, Istanbul, Turkey.
Abdullah AydinDepartment of Pathology, Istanbul Medeniyet University Goztepe Training and Research Hospital, Dr. Erkin Caddesi, Göztepe Egt. ve Aras. Hastanesi Patoloji Laboratuarı 34720 Kadıköy, Istanbul, Turkey.
W Glenn McCluggageDepartment of Pathology, Belfast Health and Social Care Trust, Grosvenor Road, Belfast, BT9 7AB, UK.
Istanbul Medeniyet University · TRBelfast Health and Social Care Trust · GBMedeniyet Üniversitesi Göztepe Eğitim ve Araştırma Hastanesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometrial carcinoma programmed death-ligand 1 (PD-L1) expression in tumor cells (TCs) and tumor-associated inflammatory cells (ICs) have recently been reported in several studies which vary in terms of their cohort size, design, and methodology. We aimed to assess PD-L1 staining in endometrial carcinomas and correlate this with clinical and pathological factors and PTEN, ARID1A, p53, and MMR protein expression. PD-L1 immunohistochemistry was performed on whole tissue sections of all tumor blocks of 59 consecutive unselected endometrial carcinomas between November 2018 and September 2019. TC and IC PD-L1 positivity with a 1% cut-off value was observed in 10.2% and 67.8% of cases, respectively, and with a 5% cut-off value in 3.4% and 42.4% of cases, respectively. TC PD-L1 positivity with both 1% and 5% cut-off values was significantly related to ARID1A loss (p = 0.001 and p = 0.046, respectively). IC PD-L1 positivity with 1% and 5% cut-off values and combined score were significantly associated with MMR protein deficiency (p = 0.041, p = 0.031, and p = 0.028, respectively). Advanced stage tumors exhibited more frequent PD-L1 expression in ICs (p = 0.039). MELF-type myometrial invasion pattern was more common in tumors with ARID1A loss (p = 0.047). We observed higher rates of IC PD-L1 positivity in endometrial carcinomas than documented in prior studies; this may be related to our usage of "recent" paraffin blocks and whole tissue sections of all tumor blocks. There was a much higher PD-L1 expression in the ICs compared to TCs in our cases. We confirm a previously documented association between MMR deficiency and PD-L1 expression and show a novel association between ARID1A loss and PD-L1 expression in endometrial carcinomas. ARID1A loss represents a potential biomarker of immune checkpoint inhibitor response in endometrial carcinoma.

Indexed as

AdultAgedAged, 80 and overB7-H1 AntigenBiomarkers, TumorDNA-Binding ProteinsEndometrial NeoplasmsFemaleHumansImmunohistochemistryMiddle AgedPTEN PhosphohydrolaseTranscription FactorsTumor Suppressor Protein p53ARID1A protein, humanB7-H1 AntigenBiomarkers, TumorCD274 protein, humanDNA-Binding ProteinsPTEN PhosphohydrolasePTEN protein, humanTP53 protein, humanTranscription FactorsTumor Suppressor Protein p53ARID1AEndometrial carcinomaImmunohistochemistryMMRPD-L1PTEN

Identifiers

PMID32594230
OpenAlexW3038130564

What OpenQuestion holds

Textmetadata
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.