Evidence map›Paper›PMID 34295653›Full record

ArticleTranslational lung cancer research2021

PD-L1 detection on circulating tumor-derived extracellular vesicles (T-EVs) from patients with lung cancer.

Fei Wu, Yanzi Gu, Bin Kang, Fabienne Heskia, Alexandre Pachot, Marc Bonneville, Ping Wei, Ji Liang

Open access · diamondAbstract read
In one paragraph

Article in Translational lung cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

24 citing papers in PubMed, 37 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

8 authors at 4 institutions in 2 countries.

Fei WuFudan University Shanghai Cancer Center-Institut Mérieux Laboratory, Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai, China.
Yanzi GuBiobank, Fudan University Shanghai Cancer Center, Shanghai, China.
Bin KangFudan University Shanghai Cancer Center-Institut Mérieux Laboratory, Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai, China.
Fabienne HeskiaGlobal Medical Affairs, bioMérieux SA, Marcy l'Etoile, France.
Alexandre PachotOpen Innovation & Partnerships Department, bioMérieux SA, Marcy l'Etoile, France.
Marc BonnevilleInstitut Mérieux, Lyon, France.
Ping WeiDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Ji LiangFudan University Shanghai Cancer Center-Institut Mérieux Laboratory, Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai, China.
Fudan University Shanghai Cancer Center · CNbioMérieux (France) · FRInstitut Mérieux (France) · FRShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent breakthroughs in therapies with immune checkpoint inhibitors (ICIs) have revolutionized the treatment of lung cancer. However, only 15-25% of patients respond to the ICIs therapy, and methods to identify those responsive patients are currently a hot research topic. PD-L1 expression measured on tumor tissues using immunohistochemistry (IHC) was approved as one of the companion diagnostic methods, but it is invasive and cannot be used to monitor dynamic changes in PD-L1 expression during treatments.

methodsIn this study, we developed an Epcam-PD-L1 extracellular vesicle (EV) detection prototype using the Simoa platform. This assay detected PD-L1 expression levels on tumor-derived exosomes from the lung cancer cell lines A549 and SK-MES1. In addition, 35 plasma samples from patients with lung cancer were tested with this assay and the results were compared to the tissue PD-L1 expression levels represented by the tumor proportion score (TPS).

resultsPD-L1 TPS-positive patients (≥1% IHC TPS) had significantly higher Simoa Epcam-PD-L1 signals than TPS-negative patients (<1% IHC TPS, P=0.026). The Simoa Epcam-PD-L1 area under curve (AUC) reached 0.776, with a sensitivity of 92.86% and a specificity of 71.43%. When PD-L1 TPS-positive patients were defined as having an IHC TPS ≥10%, the greatest difference in Epcam-PD-L1 signals was observed between IHC TPS-positive and IHC TPS-negative groups (P=0.0024) and the Simoa Epcam-PD-L1 AUC reached 0.832. Finally, the Spearman's correlation coefficient showed a significant correlation between the TPS and Simoa Epcam-PD-L1 signals (0.428, P=0.0104).

conclusionsBased on our results, our Simoa Epcam-PD-L1 EV detection assay is a potential liquid biopsy method to predict the PD-L1 expression level in patients with lung cancer.

Indexed as

exosomeextracellular vesicle (EV)lung cancerProgrammed cell death ligand-1 (PD-L1)

Identifiers

PMID34295653
PMCPMC8264343
OpenAlexW3166586507

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.