Evidence map›Paper›PMID 31217478›Full record

ArticleScientific reports2019

Label-Free Flow Multiplex Biosensing via Photonic Crystal Surface Mode Detection.

Irina Petrova, Valery Konopsky, Igor Nabiev, Alyona Sukhanova

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 44 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

4 authors at 2 institutions in 2 countries.

Irina PetrovaLaboratory of Nano-Bioengineering, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Kashirskoye Shosse 31, 115409, Moscow, Russian Federation.ORCID http://orcid.org/0000-0002-4909-3901
Valery KonopskyInstitute of Spectroscopy, Russian Academy of Sciences, Fizicheskaya Str. 5, 108840, Troitsk, Moscow region, Russian Federation.ORCID http://orcid.org/0000-0001-6114-5172
Igor NabievLaboratory of Nano-Bioengineering, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Kashirskoye Shosse 31, 115409, Moscow, Russian Federation. igor.nabiev@univ-reims.fr.ORCID http://orcid.org/0000-0002-8391-040X
Alyona SukhanovaLaboratory of Nano-Bioengineering, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Kashirskoye Shosse 31, 115409, Moscow, Russian Federation. alyona.sukhanova@univ-reims.fr.ORCID http://orcid.org/0000-0003-2796-7898
National Research Nuclear University MEPhI · RUInstitute of Spectroscopy · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating cancer markers are metabolic products found in body fluids of cancer patients, which are specific for a certain type of malignant tumors. Cancer marker detection plays a key role in cancer diagnosis, treatment, and disease monitoring. The growing need for early cancer diagnosis requires quick and sensitive analytical approaches to detection of cancer markers. The approach based on the photonic crystal surface mode (PC SM) detection has been developed as a label-free high-precision biosensing technique. It allows real-time monitoring of molecular and cellular interactions using independent recording of the total internal reflection angle and the excitation angle of the PC surface wave. We used the PC SM technique for simultaneous detection of the ovarian cancer marker cancer antigen 125 and two breast cancer markers, human epidermal growth factor receptor 2 and cancer antigen 15-3. The new assay is based on the real-time flow detection of specific interaction between the antigens and capture antibodies. Its particular advantage is the possibility of multichannel recording with the same chip, which can be used for multiplexed detection of several cancer markers in a single experiment. The developed approach demonstrates high specificity and sensitivity for detection of all three biomarkers.

Indexed as

Biosensing TechniquesBreast NeoplasmsEarly Detection of CancerOvarian NeoplasmsBiomarkers, TumorCA-125 AntigenErb-b2 Receptor Tyrosine KinasesFemaleHumansBiomarkers, TumorCA-125 AntigenERBB2 protein, humanErb-b2 Receptor Tyrosine Kinases

Identifiers

PMID31217478
PMCPMC6584699
OpenAlexW2953351552

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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.