Evidence map›Paper›PMID 32888061›Full record

ReviewMikrochimica acta2020

Recent advances in aptamer-based sensors for breast cancer diagnosis: special cases for nanomaterial-based VEGF, HER2, and MUC1 aptasensors.

Samet Şahin, Mustafa Oguzhan Caglayan, Zafer Üstündağ

Abstract readReview
PubMed Publisher
In one paragraph

Review in Mikrochimica acta, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. FunctionalACS bio & med chem Au · 2025
    Article
  2. Impact of Nanomedicine in Women's Metastatic Breast Cancer.Small (Weinheim an der Bergstrasse, Germany) · 2024
    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

3 authors.

Samet ŞahinDepartment of Bioengineering, Bilecik Şeyh Edebali University, 11230, Bilecik, Turkey. samet.sahin@bilecik.edu.tr.ORCID https://orcid.org/0000-0002-0568-4283
Mustafa Oguzhan CaglayanDepartment of Bioengineering, Bilecik Şeyh Edebali University, 11230, Bilecik, Turkey. oguzhan.caglayan@gmail.com.ORCID https://orcid.org/0000-0002-7265-1094
Zafer ÜstündağDepartment of Chemistry, Kütahya Dumlupınar University, 43100, Kütahya, Turkey.ORCID https://orcid.org/0000-0002-5550-106X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is one of the most common and important diseases with a high mortality rate. Breast cancer is among the three most common types of cancer in women, and the mortality rate has reached 0.024% in some countries. For early-stage preclinical diagnosis of breast cancer, sensitive and reliable tools are needed. Today, there are many types of biomarkers that have been identified for cancer diagnosis. A wide variety of detection strategies have also been developed for the detection of these biomarkers from serum or other body fluids at physiological concentrations. Aptamers are single-stranded DNA or RNA oligonucleotides and promising in the production of more sensitive and reliable biosensor platforms in combination with a wide range of nanomaterials. Conformational changes triggered by the target analyte have been successfully applied in fluorometric, colorimetric, plasmonic, and electrochemical-based detection strategies. This review article presents aptasensor approaches used in the detection of vascular endothelial growth factor (VEGF), human epidermal growth factor receptor 2 (HER2), and mucin-1 glycoprotein (MUC1) biomarkers, which are frequently studied in the diagnosis of breast cancer. The focus of this review article is on developments of the last decade for detecting these biomarkers using various sensitivity enhancement techniques and nanomaterials.

Indexed as

Aptamers, NucleotideBreast NeoplasmsElectrochemical TechniquesFemaleGenes, erbB-2HumansMucin-1NanostructuresVascular Endothelial Growth Factor AAptamers, NucleotideMUC1 protein, humanMucin-1Vascular Endothelial Growth Factor AAptasensorBiosensorBreast cancerCancer biomarkerHER2MUC1VEGF

Identifiers

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.