Evidence map›Paper›PMID 39263318›Full record

ArticleBiochemistry and biophysics reports2024

Advancements in Chronic Myeloid Leukemia detection: Development and evaluation of a novel QCM aptasensor for use in clinical practice.

Michaela Domsicova, Simona Kurekova, Andrea Babelova, Kristina Jakic, Iveta Oravcova, Veronika Nemethova, Filip Razga, Albert Breier, Miroslav Gal, Alexandra Poturnayova

Abstract read
In one paragraph

Article in Biochemistry and biophysics reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

10 authors.

Michaela DomsicovaCentre of Biosciences, Institute of Molecular Physiology and Genetics, Slovak Academy of Sciences, Dúbravská cesta 9, 840 05, Bratislava, Slovakia.
Simona KurekovaDepartment of Biology, Faculty of Medicine and Dentistry, Palacky University, Hněvotínska 3, 775 15, Olomouc, Czech Republic.
Andrea BabelovaBiomedical Research Center, Department of Nanobiology, Cancer Research Institute, Slovak Academy of Sciences, Dúbravská cesta 9, 845 05, Bratislava, Slovakia.
Kristina JakicBiomedical Research Center, Department of Nanobiology, Cancer Research Institute, Slovak Academy of Sciences, Dúbravská cesta 9, 845 05, Bratislava, Slovakia.
Iveta OravcovaNational Cancer Institute, Department of Oncohematology, Klenová 1, 833 10, Bratislava, Slovakia.
Veronika NemethovaFaculty of Medicine Comenius University in Bratislava, Špitálska 24, 813 72, Bratislava, Slovakia.
Filip RazgaFaculty of Medicine Comenius University in Bratislava, Špitálska 24, 813 72, Bratislava, Slovakia.
Albert BreierCentre of Biosciences, Institute of Molecular Physiology and Genetics, Slovak Academy of Sciences, Dúbravská cesta 9, 840 05, Bratislava, Slovakia.
Miroslav GalDepartment of Inorganic Chemistry, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Radlinského 9, 81237, Bratislava, Slovakia.
Alexandra PoturnayovaCentre of Biosciences, Institute of Molecular Physiology and Genetics, Slovak Academy of Sciences, Dúbravská cesta 9, 840 05, Bratislava, Slovakia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oncological diseases represent a significant global health challenge, with high mortality rates. Early detection is crucial for effective treatment, and aptamers, which demonstrate superior specificity and stability compared to antibodies, offer a promising avenue for diagnostic advancement. This study presents the design, development and evaluation of a quartz crystal microbalance (QCM) sensor functionalized with the T2-KK1B10 aptamer for the sensitive and specific detection of Chronic Myeloid Leukemia (CML) K562 cells. The research focuses on optimizing the biorecognition layer by adjusting the aptamer conditions, demonstrating the sensor's ability to detect these CML cells with high specificity and sensitivity. The aptamer-modified QCM sensor operates on the principle of mass change detection upon binding of target cells. By employing the Langmuir isotherm model, the performance of the sensor was optimized for the capture of CML cells from biological samples with LOD of 263 K562 cells. The sensor was also successfully regenerated multiple times without sensitivity loss. Validation of the sensor's performance was conducted under controlled laboratory settings, followed by extensive testing utilizing human lyophilized plasma and clinical samples from patients. The sensor exhibited high sensitivity and specificity in the detection of CML cells within clinical specimens, thereby illustrating its potential for practical clinical deployment. This research presents a novel approach to the early diagnosis of CML, facilitating timely intervention and enhanced patient outcomes. The developed aptasensor demonstrates potential for broader application in cancer diagnostics and personalized medicine.

Indexed as

Biorecognition layer optimizationChronic Myeloid LeukemiaClinical applicationHuman plasmaK562 cellsQCM aptasensor

Identifiers

PMID39263318
PMCPMC11387267

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Registered trials

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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.