Evidence map›Paper›PMID 34383183›Full record

ArticleInvestigational new drugs2022

In vitro selection of DNA aptamers against human osteosarcoma.

Khaliunsarnai Tsogtbaatar, Diana A Sousa, Debora Ferreira, Atakan Tevlek, Halil Murat Aydın, Eda Çelik, Ligia Rodrigues

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Article in Investigational new drugs, 2022. 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
0.4field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 2 countries.

Khaliunsarnai Tsogtbaatar *Institute of Science, Hacettepe University, Bioengineering Division, 06800, Ankara, Turkey.
Diana A Sousa *CEB - Centre of Biological Engineering, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.
Debora FerreiraCEB - Centre of Biological Engineering, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.
Atakan TevlekInstitute of Science, Hacettepe University, Bioengineering Division, 06800, Ankara, Turkey.
Halil Murat AydınInstitute of Science, Hacettepe University, Bioengineering Division, 06800, Ankara, Turkey.
Eda ÇelikInstitute of Science, Hacettepe University, Bioengineering Division, 06800, Ankara, Turkey.
Ligia RodriguesCEB - Centre of Biological Engineering, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal. lrmr@deb.uminho.pt.ORCID 0000-0001-9265-0630
Hacettepe University · TRUniversity of Minho · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteosarcoma is a highly malignant bone tumor, most frequently occurring in the rapid bone growth phase. Effective treatment of this disease is hindered by the lack of specific probes for early diagnosis and the fast cancer widespread.

methodsTo find such probes, the cell-Systematic Evolution of Ligands by EXponential enrichment (cell-SELEX) methodology was implemented against the human osteosarcoma MG-63 cell line towards the selection of new specific aptamers. After 10 rounds of selection, the aptamer DNA pool was Sanger sequenced and the sequences were subjected to a bioinformatic analysis that included sequence alignment, phylogenetic relationship, and secondary structure prediction.

resultsA DNA aptamer (OS-7.9), with a dissociation constant (K

conclusionsThese results suggest that OS-7.9 could recognize a common protein expressed in these cancer cells, possibly becoming a potential molecular probe for early diagnosis and targeted therapies for metastatic disease. Moreover, to the best of our knowledge, this was the first attempt to generate a DNA aptamer (OS-7.9 aptamer) against the MG-63-cell line by cell-SELEX.

Indexed as

AnimalsAptamers, NucleotideBase SequenceCell Line, TumorHumansMiceOsteosarcomaAptamers, NucleotideAptamersCell-SELEXEarly cancer diagnosisMG-63 cell lineOsteosarcomaTherapeutics

Identifiers

PMID34383183
OpenAlexW3192915145

What OpenQuestion holds

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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.