Evidence map›Paper›PMID 32316469›Full record

ReviewInternational journal of molecular sciences2020

Aptamers, the Nucleic Acid Antibodies, in Cancer Therapy.

Zhaoying Fu, Jim Xiang

Abstract readComparative StudyReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
–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

64 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  5. Designing nucleic acid-based therapeutics for cancer treatment: Updates on the state of the art.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Review
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  7. Article
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  12. Methods for cell- and tissue-specific DNA aptamer selection.Molecular therapy. Methods & clinical development · 2025
    Article
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  15. Article
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  18. Article
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4 more citing papers are in PubMed but not listed here.

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

2 authors.

Zhaoying FuDepartment of Biochemistry and Molecular Biology, College of Medicine, Yanan University, Yanan 716000, China.
Jim XiangDivision of Oncology, University of Saskatchewan, Saskatoon, SA S7N 4H4, Canada.

Funding

National Natural Science Foundation of China 81760732
6 · The paper itself

Abstract

The arrival of the monoclonal antibody (mAb) technology in the 1970s brought with it the hope of conquering cancers to the medical community. However, mAbs, on the whole, did not achieve the expected wonder in cancer therapy although they do have demonstrated successfulness in the treatment of a few types of cancers. In 1990, another technology of making biomolecules capable of specific binding appeared. This technique, systematic evolution of ligands by exponential enrichment (SELEX), can make aptamers, single-stranded DNAs or RNAs that bind targets with high specificity and affinity. Aptamers have some advantages over mAbs in therapeutic uses particularly because they have little or no immunogenicity, which means the feasibility of repeated use and fewer side effects. In this review, the general properties of the aptamer, the advantages and limitations of aptamers, the principle and procedure of aptamer production with SELEX, particularly the undergoing studies in aptamers for cancer therapy, and selected anticancer aptamers that have entered clinical trials or are under active investigations are summarized.

Indexed as

Antineoplastic Agents, ImmunologicalAptamers, NucleotideGene Expression Regulation, LeukemicGene Regulatory NetworksHumansLigandsNeoplasmsSELEX Aptamer TechniqueAntineoplastic Agents, ImmunologicalAptamers, NucleotideLigandsaptamercancerSELEXtherapy

Identifiers

PMID32316469
PMCPMC7215806

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.