Evidence map›Paper›PMID 40729033›Full record

ArticleCurrent issues in molecular biology2025

Establishment of an Assay with Ultrahigh Sensitivity for Detecting sEV-Derived PD-L1 as a Serum Biomarker for Lung Cancer-A Pilot Study Using TN-cyclon™.

Kyo Okita, Hasumi Arita, Keita Sudo, Teruki Yoshimura, Etsuro Ito

Abstract read
In one paragraph

Article in Current issues in molecular biology, 2025. 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

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

1 citing paper in PubMed.

  1. Ultrasensitive ELISA for Accurate Detection ofOpen forum infectious diseases · 2025
    Article
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.

Kyo OkitaDepartment of Biology, TWIns, Waseda University, Shinjuku, Tokyo 162-0056, Japan.
Hasumi AritaDepartment of Biology, TWIns, Waseda University, Shinjuku, Tokyo 162-0056, Japan.
Keita SudoDepartment of Biology, TWIns, Waseda University, Shinjuku, Tokyo 162-0056, Japan.
Teruki YoshimuraR&D Department, BioPhenoMA Inc., Waseda University Entrepreneurship Center, Shinjuku, Tokyo 169-0051, Japan.
Etsuro ItoDepartment of Biology, TWIns, Waseda University, Shinjuku, Tokyo 162-0056, Japan.ORCID 0000-0002-1877-6566

Funding

BioPhenoMA Inc. N/A
6 · The paper itself

Abstract

Programmed death-ligand 1 (PD-L1) is an immune checkpoint protein. The soluble form of PD-L1 (sPD-L1) and PD-L1 derived from small extracellular vesicles (sEVPD-L1) are promising cancer biomarkers. While sEVPD-L1 in particular may contribute to immune evasion and is associated with a poor prognosis, it exists only in trace amounts, making it difficult to detect using conventional enzyme-linked immunosorbent assay (ELISA) methods. Therefore, we developed an ultrasensitive detection method, TN-cyclon™. The TN-cyclon™ method combines sandwich ELISA with enzyme cycling amplification. We applied TN-cyclon™ to measure recombinant PD-L1 protein and sEVPD-L1 in serum samples from cancer patients and healthy donors. Recombinant PD-L1 protein was measured with an ultrasensitive detection limit of 0.172 pg/mL. In clinical specimens, sEVPD-L1 levels were significantly higher in lung cancer patients than in healthy donors, whereas sPD-L1 levels measured with a conventional ELISA did not differ significantly between groups. Our results demonstrated that the TN-cyclon™ method exhibits a 20-fold increase in sensitivity compared to a conventional ELISA. Although this is a pilot study, our new assay enables the detection of very low concentrations of sEVPD-L1 in serum that can be used to evaluate the predictive and prognostic performance of sEVPD-L1 in lung cancer patients in future studies.

Indexed as

immune checkpointlung cancerPD-L1small extracellular vesicleultrasensitive ELISA

Identifiers

PMID40729033
PMCPMC12293702

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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.