Evidence map›Paper›PMID 36291805›Full record

ArticleCancers2022

Label-Free Surface Enhanced Raman Spectroscopy for Cancer Detection.

Ertug Avci, Hulya Yilmaz, Nurettin Sahiner, Bilge Guvenc Tuna, Munevver Burcu Cicekdal, Mehmet Eser, Kayhan Basak, Fatih Altıntoprak, Ismail Zengin, Soner Dogan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
10.8field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 43 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

11 authors at 6 institutions in 2 countries.

Ertug AvciDepartment of Genetics and Bioengineering, Faculty of Engineering, Yeditepe University, Istanbul 34755, Turkey.
Hulya YilmazSabanci University Nanotechnology Research and Application Center (SUNUM), Istanbul 34956, Turkey.
Nurettin SahinerDepartment of Ophthalmology, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.ORCID 0000-0003-0120-530X
Bilge Guvenc TunaDepartment of Biophysics, School of Medicine, Yeditepe University, Istanbul 34755, Turkey.ORCID 0000-0003-1348-1336
Munevver Burcu CicekdalDepartment of Medical Biology, School of Medicine, Yeditepe University, Istanbul 34755, Turkey.
Mehmet EserDepartment of General Surgery, School of Medicine, Istinye University, Istanbul 34010, Turkey.ORCID 0000-0002-3975-5780
Kayhan BasakDepartment of Pathology, Kartal Dr. Lütfi Kırdar City Hospital, University of Health Sciences, Istanbul 34865, Turkey.ORCID 0000-0003-1960-8924
Fatih AltıntoprakDepartment of General Surgery, Research and Educational Hospital, Sakarya University, Serdivan 54100, Turkey.
Ismail ZenginDepartment of General Surgery, Research and Educational Hospital, Sakarya University, Serdivan 54100, Turkey.
Soner DoganDepartment of Medical Biology, School of Medicine, Yeditepe University, Istanbul 34755, Turkey.
Mustafa ÇulhaSabanci University Nanotechnology Research and Application Center (SUNUM), Istanbul 34956, Turkey.ORCID 0000-0002-3844-5190
Yeditepe University · TRSabancı Üniversitesi · TRSakarya University · TRÇanakkale Onsekiz Mart Üniversitesi · TRDr Lütfi Kırdar Kartal Eğitim ve Araştırma Hastanesi · TRIstinye University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood is a vital reservoir housing numerous disease-related metabolites and cellular components. Thus, it is also of interest for cancer diagnosis. Surface-enhanced Raman spectroscopy (SERS) is widely used for molecular detection due to its very high sensitivity and multiplexing properties. Its real potential for cancer diagnosis is not yet clear. In this study, using silver nanoparticles (AgNPs) as substrates, a number of experimental parameters and scenarios were tested to disclose the potential for this technique for cancer diagnosis. The discrimination of serum samples from cancer patients, healthy individuals and patients with chronic diseases was successfully demonstrated with over 90% diagnostic accuracies. Moreover, the SERS spectra of the blood serum samples obtained from cancer patients before and after tumor removal were compared. It was found that the spectral pattern for serum from cancer patients evolved into the spectral pattern observed with serum from healthy individuals after the removal of tumors. The data strongly suggests that the technique has a tremendous potential for cancer detection and screening bringing the possibility of early detection onto the table.

Indexed as

bloodcancer detectionhuman serumplasmaSERSsilver nanoparticles

Identifiers

PMID36291805
PMCPMC9600112
OpenAlexW4306366867

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.