Evidence map›Paper›PMID 31300681›Full record

ArticleScientific reports2019

Analytical performance of a new automated chemiluminescent magnetic immunoassays for soluble PD-1, PD-L1, and CTLA-4 in human plasma.

Megumi Goto, Kenji Chamoto, Keiko Higuchi, Saya Yamashita, Kenta Noda, Takuya Iino, Masahiro Miura, Toshinari Yamasaki, Osamu Ogawa, Makoto Sonobe and 10 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

25 citing papers in PubMed, 39 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

20 authors at 4 institutions in 1 country.

Megumi GotoClinical Innovation, Sysmex Corporation, Hyogo, Japan.
Kenji ChamotoDepartment of Immunology and Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Keiko HiguchiClinical Innovation, Sysmex Corporation, Hyogo, Japan.
Saya YamashitaTechnology Development, Sysmex Corporation, Hyogo, Japan.
Kenta NodaTechnology Development, Sysmex Corporation, Hyogo, Japan.
Takuya IinoCentral Research Laboratories, Sysmex Corporation, Hyogo, Japan.
Masahiro MiuraCentral Research Laboratories, Sysmex Corporation, Hyogo, Japan.
Toshinari YamasakiDepartment of Urology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Osamu OgawaDepartment of Urology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Makoto SonobeDepartment of Thoracic Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hiroshi DateDepartment of Thoracic Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Junzo HamanishiDepartment of Gynecology and Obstetrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Masaki MandaiDepartment of Gynecology and Obstetrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yoshimasa TanakaCenter for Bioinformatics and Molecular Medicine, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan.
Shunsuke ChikumaDepartment of Microbiology and Immunology, Keio University School of Medicine, Kyoto, Japan.
Ryusuke HataeDepartment of Immunology and Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Manabu MutoDepartment of Therapeutic Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Sachiko MinamiguchiDepartment of Pathology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Nagahiro MinatoDSK Project, Medical Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Tasuku HonjoKyoto University Institute for Advanced Study, Kyoto, Japan. honjo@mfour.med.kyoto-u.ac.jp.
Kyoto University · JPSysmex (Japan) · JPKeio University · JPNagasaki University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current clinically approved biomarkers for the PD-1 blockade cancer immunotherapy are based entirely on the properties of tumour cells. With increasing awareness of clinical responses, more precise biomarkers for the efficacy are required based on immune properties. In particular, expression levels of immune checkpoint-associated molecules such as PD-1, PD-L1, and CTLA-4 would be critical to evaluate the immune state of individuals. Although quantification of their soluble form leased from the membrane will provide quick evaluation of patients' immune status, available methods such as enzyme-linked immunosorbent assays to measure these soluble factors have limitations in sensitivity and reproducibility for clinical use. To overcome these problems, we developed a rapid and sensitive immunoassay system based on chemiluminescent magnetic technology. The system is fully automated, providing high reproducibility. Application of this system to plasma of patients with several types of tumours demonstrated that soluble PD-1, PD-L1, and CTLA-4 levels were increased compared to those of healthy controls and varied among tumour types. The sensitivity and detection range were sufficient for evaluating plasma concentrations before and after the surgical ablation of cancers. Therefore, our newly developed system shows potential for accurate detection of soluble PD-1, PD-L1, and CTLA-4 levels in the clinical practice.

Indexed as

Automation, LaboratoryB7-H1 AntigenBiomarkers, TumorCarcinoma, Non-Small-Cell LungCarcinoma, Renal CellCase-Control StudiesCTLA-4 AntigenFemaleHumansImmunoassayKidney NeoplasmsLuminescenceLung NeoplasmsMultiple MyelomaOvarian NeoplasmsProgrammed Cell Death 1 ReceptorB7-H1 AntigenBiomarkers, TumorCD274 protein, humanCTLA-4 AntigenCTLA4 protein, humanPDCD1 protein, humanProgrammed Cell Death 1 Receptor

Identifiers

PMID31300681
PMCPMC6626008
OpenAlexW2957722758

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.