Evidence map›Paper›PMID 35181766›Full record

ReviewNature protocols2022

Bioconjugates of photon-upconversion nanoparticles for cancer biomarker detection and imaging.

Antonín Hlaváček, Zdeněk Farka, Matthias J Mickert, Uliana Kostiv, Julian C Brandmeier, Daniel Horák, Petr Skládal, František Foret, Hans H Gorris

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
11.3field-weighted citation impact, top 1% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 160 citations in OpenAlex.

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  14. Sub-10 nm YbRSC advances · 2025
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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

9 authors at 4 institutions in 3 countries.

Antonín HlaváčekInstitute of Analytical Chemistry of the Czech Academy of Sciences, Brno, Czech Republic. hlavacek@iach.cz.ORCID http://orcid.org/0000-0003-3358-3858
Zdeněk FarkaDepartment of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic. farka@mail.muni.cz.ORCID http://orcid.org/0000-0002-6842-7081
Matthias J MickertLumito AB, Lund, Sweden.
Uliana KostivInstitute of Macromolecular Chemistry of the Czech Academy of Sciences, Prague, Czech Republic.
Julian C BrandmeierDepartment of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic.ORCID http://orcid.org/0000-0001-8650-0492
Daniel HorákInstitute of Macromolecular Chemistry of the Czech Academy of Sciences, Prague, Czech Republic.ORCID http://orcid.org/0000-0002-6907-9701
Petr SkládalDepartment of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic.ORCID http://orcid.org/0000-0002-3868-5725
František ForetInstitute of Analytical Chemistry of the Czech Academy of Sciences, Brno, Czech Republic.
Hans H GorrisDepartment of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic. gorris@mail.muni.cz.
Masaryk University · CZCzech Academy of Sciences, Institute of Analytical Chemistry · CZCzech Academy of Sciences, Institute of Macromolecular Chemistry · CZLumina (Sweden) · SE

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) GO 1968/6-1Deutsche Forschungsgemeinschaft (German Research Foundation) GO 1968/ 7-1 (Heisenberg Program)Grantová Agentura České Republiky (Grant Agency of the Czech Republic) 21-03156SGrantová Agentura České Republiky (Grant Agency of the Czech Republic) 21-04420SMinisterstvo Školství, Mládeže a Tělovýchovy (Ministry of Education, Youth and Sports) LQ1601Ministerstvo Školství, Mládeže a Tělovýchovy (Ministry of Education, Youth and Sports) LTAB19011
6 · The paper itself

Abstract

The detection of cancer biomarkers in histological samples and blood is of paramount importance for clinical diagnosis. Current methods are limited in terms of sensitivity, hindering early detection of disease. We have overcome the shortcomings of currently available staining and fluorescence labeling methods by taking an integrative approach to establish photon-upconversion nanoparticles (UCNP) as a powerful platform for cancer detection. These nanoparticles are readily synthesized in different sizes to yield efficient and tunable short-wavelength light emission under near-infrared excitation, which eliminates optical background interference of the specimen. Here we present a protocol for the synthesis of UCNPs by high-temperature co-precipitation or seed-mediated growth by thermal decomposition, surface modification by silica or poly(ethylene glycol) that renders the particles resistant to nonspecific binding, and the conjugation of streptavidin or antibodies for biological detection. To detect blood-based biomarkers, we present an upconversion-linked immunosorbent assay for the analog and digital detection of the cancer marker prostate-specific antigen. When applied to immunocytochemistry analysis, UCNPs enable the detection of the breast cancer marker human epidermal growth factor receptor 2 with a signal-to-background ratio 50-fold higher than conventional fluorescent labels. UCNP synthesis takes 4.5 d, the preparation of the antibody-silica-UCNP conjugate takes 3 d, the streptavidin-poly(ethylene glycol)-UCNP conjugate takes 2-3 weeks, upconversion-linked immunosorbent assay takes 2-4 d and immunocytochemistry takes 8-10 h. The procedures can be performed after standard laboratory training in nanomaterials research.

Indexed as

NanoparticlesNeoplasmsBiomarkers, TumorHumansImmunosorbentsMalePolyethylene GlycolsSilicon DioxideStreptavidinBiomarkers, TumorImmunosorbentsPolyethylene GlycolsSilicon DioxideStreptavidin

Identifiers

PMID35181766
OpenAlexW4212858977

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.