Evidence map›Paper›PMID 28086852›Full record

ArticleBMC urology2017

PD-L1 expression in papillary renal cell carcinoma.

Takanobu Motoshima, Yoshihiro Komohara, Chaoya Ma, Arni Kusuma Dewi, Hirotsugu Noguchi, Sohsuke Yamada, Toshiyuki Nakayama, Shohei Kitada, Yoshiaki Kawano, Wataru Takahashi and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC urology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

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  18. Prognostic impact of PD-1 and its ligands in renal cell carcinoma.Medical oncology (Northwood, London, England) · 2017
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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

15 authors at 3 institutions in 2 countries.

Takanobu MotoshimaDepartment of Cell Pathology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, 860-8556, Japan.
Yoshihiro KomoharaDepartment of Cell Pathology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, 860-8556, Japan. ycomo@kumamoto-u.ac.jp.
Chaoya MaDepartment of Cell Pathology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, 860-8556, Japan.
Arni Kusuma DewiDepartment of Cell Pathology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, 860-8556, Japan.
Hirotsugu NoguchiDepartment of Pathology and Cell Biology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Sohsuke YamadaDepartment of Pathology and Cell Biology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Toshiyuki NakayamaDepartment of Pathology and Cell Biology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Shohei KitadaDepartment of Urology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Yoshiaki KawanoDepartment of Urology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Wataru TakahashiDepartment of Urology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Masaaki SugimotoDepartment of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Motohiro TakeyaDepartment of Urology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Naohiro FujimotoDepartment of Urology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Yoshinao OdaDepartment of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Masatoshi EtoDepartment of Urology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Kumamoto University · JPUniversity of Occupational and Environmental Health Japan · JPKyushu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe immune escape or tolerance of cancer cells is considered to be closely involved in cancer progression. Programmed death-1 (PD-1) is an inhibitory receptor expressed on activating T cells, and several types of cancer cells were found to express PD-1 ligand 1 (PD-L1) and ligand 2 (PD-L2).

methodsIn the present study, we investigated PD-L1/2 expression in papillary renal cell carcinoma (pRCC).

resultWe found PD-L1 expression in 29 of 102 cases, but no PD-L2 expression was seen. PD-L1 expression was not significantly correlated with any clinicopathological factor, including progression-free survival and overall survival. The frequency of PD-L1-positive cases was higher in type 2 (36%) than in type 1 (22%) pRCC; however, there was no significant difference in the percentages of score 0 cases (p value = 0.084 in Chi-square test). The frequency of high PD-L1 expression cases was higher in type 2 (23%) than in type 1 (11%), and the frequency of high PD-L1 expression cases was higher in grade 3/4 (21%) than in grade 1/2 (13%). However, no significant association was found between PD-L1 expression and all clinicopathological factors in pRCC.

conclusionHigh expression of PD-L1 in cancer cells was potentially associated to highly histological grade of malignancy in pRCC. The evaluation of the PD-L1 protein might still be useful for predicting the efficacy of anti-cancer immunotherapy using immuno-checkpoint inhibitors, however, not be useful for predicting the clinical prognosis.

Indexed as

AgedB7-H1 AntigenCarcinoma, Renal CellFemaleHumansKidney NeoplasmsMaleRetrospective StudiesB7-H1 Antigen

Identifiers

PMID28086852
PMCPMC5237189
OpenAlexW2578014613

What OpenQuestion holds

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Registered trials

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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.