Evidence map›Paper›PMID 35624582›Full record

ArticleBiosensors2022

Rapid Capturing and Chemiluminescent Sensing of Programmed Death Ligand-1 Expressing Extracellular Vesicles.

Adeel Khan, Kaili Di, Haroon Khan, Nongyue He, Zhiyang Li

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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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 1 country.

Adeel KhanState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, National Demonstration Center for Experimental Biomedical Engineering Education, Southeast University, Nanjing 210096, China.ORCID 0000-0001-8766-0551
Kaili DiDepartment of Clinical Laboratory Medicine, the Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing 210008, China.
Haroon KhanNeuroscience and Neuroengineering Research Center, Med-X Research Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-4867-2901
Nongyue HeState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, National Demonstration Center for Experimental Biomedical Engineering Education, Southeast University, Nanjing 210096, China.
Zhiyang LiDepartment of Clinical Laboratory Medicine, the Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing 210008, China.ORCID 0000-0002-4970-8494
Nanjing Drum Tower Hospital · CNState Key Laboratory of Digital Medical EngineeringShanghai Jiao Tong University · CN

Funding

Key Research and Development Project of Jiangsu Province BE2019603Key Research and Development Project of Jiangsu Province BE2020768National Key Research and Development Program of China 2017YFA0205301National Natural Science Foundation of China 61971216National Natural Science Foundation of China 62071119National Natural Science Foundation of China 81902153
6 · The paper itself

Abstract

Cancer specific extracellular vesicles (EVs) are of significant clinical relevance, for instance programmed death ligand-1 (PD-L1) expressing EVs (PD-L1@EVs) have been shown to be ideal biomarker for non-invasive diagnosis of cancer and can predate the response of cancer patients to anti-PD-1/PD-L-1 immunotherapy. The development of sensitive and straightforward methods for detecting PD-L1@EVs can be a vital tool for non-invasive diagnosis of cancer. Most of the contemporary methods for EVs detection have limitations such as involvement of long and EV's loss prone isolation methods prior to detection or they have employed expensive antibodies and instruments to accomplish detection. Therefore, we designed an ultracentrifugation-free and antibody-free sensing assay for PD-L1@EV by integrating Titanium oxide (TiO2) coated magnetic beads (Fe3O4@TiO2) rapid capturing of EVs from undiluted serum with aptamers specificity and chemiluminescence (CL) sensitivity. To accomplish this we used Fe3O4@TiO2 beads to rapidly capture EVs from the undiluted patient serum and added biotin labelled PD-L1 aptamer to specifically recognize PD-L1@EVs. Later, added streptavidin-modified Alkaline phosphates (ALP) taking advantage of biotin-streptavidin strong binding. Addition of CDP-star, a chemiluminescent substrate of ALP, initiates the chemiluminiscense that was recorded using spectrophotometer. The sensing assay showed high sensitivity with limit of detection (LOD) as low as 2.584×105 EVs/mL and a wider linear correlation of CL intensity (a.u.) with the concentration of PD-L1@EVs from 105 to 108 EVs/mL. To examine the clinical utility of sensing assay we used undiluted serum samples from lung cancer patients and healthy individuals and successfully discern between healthy individuals and lung cancer patients. We are optimistic that the sensing assay can ameliorate our ability to be able to diagnose lung cancer non-invasively and can be helpful to predate the patient's response to anti-PD-1/PD-L1 immunotherapy.

Indexed as

Extracellular VesiclesLung NeoplasmsAntibodiesB7-H1 AntigenBiotinHumansStreptavidinAntibodiesB7-H1 AntigenBiotinCD274 protein, humanStreptavidinaptasensorchemiluminescenceextracellular vesiclesFe3O4@TiO2lung cancernon-invasive diagnosisPD-L1

Identifiers

PMID35624582
PMCPMC9138745
OpenAlexW4282939657

What OpenQuestion holds

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LicenceCC BY
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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.