Evidence map›Paper›PMID 31089250›Full record

ArticleScientific reports2019

Selection of a novel DNA aptamer against OFA/iLRP for targeted delivery of doxorubicin to AML cells.

Yacong An, Yan Hu, Xundou Li, Zhaoyi Li, Jinhong Duan, Xian-Da Yang

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Advances in aptamer-based nuclear imaging.European journal of nuclear medicine and molecular imaging · 2022
    Review
  7. Article
  8. Article
  9. Review
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

6 authors.

Yacong AnInstitute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China.
Yan HuInstitute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China.
Xundou LiInstitute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China.
Zhaoyi LiInstitute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China.
Jinhong DuanInstitute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China.
Xian-Da YangInstitute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China. ayangmd@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The standard treatment for most acute myeloid leukemia (AML) is chemotherapy, which is often associated with severe adverse effects. One strategy to reduce the adverse effects is targeted therapy that can selectively deliver anticancer drugs to tumor cells. Immature laminin receptor protein (OFA/iLRP) is a potential target for AML treatment, because it is over-expressed on the surface of AML cells but under-expressed in normal tissue. In this study, we developed the first aptamer for OFA/iLRP and explored its potential as a targeting ligand for delivery of doxorubicin (Dox) to AML cells in vitro. The selected aptamer (AB3) was a 59-base DNA oligonucleotides. It bound to OFA/iLRP structure with a K

Indexed as

Antineoplastic AgentsAptamers, NucleotideDoxorubicinDrug CarriersDrug Delivery SystemsHL-60 CellsHumansLeukemia, Myeloid, AcuteReceptors, LamininRibosomal ProteinsAntineoplastic AgentsAptamers, NucleotideDoxorubicinDrug CarriersReceptors, LamininRibosomal ProteinsRPSA protein, human

Identifiers

PMID31089250
PMCPMC6517398

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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.