Evidence map›Paper›PMID 31258013›Full record

ArticleCell cycle (Georgetown, Tex.)2019

Identification and validation of microRNAs that synergize with miR-34a - a basis for combinatorial microRNA therapeutics.

Esteban A Orellana, Chennan Li, Alexa Lisevick, Andrea L Kasinski

Open access · bronzeAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. RNAi-Based Therapeutics and Novel RNA Bioengineering Technologies.The Journal of pharmacology and experimental therapeutics · 2023
    Review
  5. Article
  6. The Features of Immune Checkpoint Gene Regulation by microRNA in Cancer.International journal of molecular sciences · 2022
    Review
  7. Article
  8. Article
  9. MicroRNA-3148 inhibits glioma by decreasingExperimental and therapeutic medicine · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. miRNA-based biomarkers, therapies, and resistance in Cancer.International journal of biological sciences · 2020
    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

4 authors at 2 institutions in 1 country.

Esteban A Orellanaa Department of Biological Sciences , Purdue University , West Lafayette , IN , USA.ORCID 0000-0003-4369-9416
Chennan Lia Department of Biological Sciences , Purdue University , West Lafayette , IN , USA.
Alexa Lisevicka Department of Biological Sciences , Purdue University , West Lafayette , IN , USA.
Andrea L Kasinskia Department of Biological Sciences , Purdue University , West Lafayette , IN , USA.ORCID 0000-0002-9602-7827
Purdue University West Lafayette · USBoston Children's Hospital · US

Funding

Ligand-mediated, vehicle-free delivery of small RNAsR01CA226259 · NCI · PURDUE UNIVERSITY · PI Andrea L Kasinski · 2018 to 2026
$3.4M
Enhancing miRNA Therapeutics through Vehicle Free DeliveryR01CA205420 · NCI · PURDUE UNIVERSITY · PI Andrea L Kasinski · 2017 to 2026
$2.9M
NCI NIH HHS R01 CA205420NCI NIH HHS R01 CA226259
6 · The paper itself

Abstract

Efforts to search for better treatment options for cancer have been a priority, and due to these efforts, new alternative therapies have emerged. For instance, clinically relevant tumor-suppressive microRNAs that target key oncogenic drivers have been identified as potential anti-cancer therapeutics. MicroRNAs are small non-coding RNAs that negatively regulate gene expression at the posttranscriptional level. Aberrant microRNA expression, through misexpression of microRNA target genes, can have profound cellular effects leading to a variety of diseases, including cancer. While altered microRNA expression contributes to a cancerous state, restoration of microRNA expression has therapeutic benefits. For example, ectopic expression of microRNA-34a (miR-34a), a tumor suppressor gene that is a direct transcriptional target of p53 and thus is reduced in p53 mutant tumors, has clear effects on cell proliferation and survival in murine models of cancer. MicroRNA replacement therapies have recently been tested in combination with other agents, including other microRNAs, to simultaneously target multiple pathways to improve the therapeutic response. Thus, we reasoned that other microRNA combinations could collaborate to further improve treatment. To test this hypothesis miR-34a was used in an unbiased cell-based approach to identify combinatorial microRNA pairs with enhanced efficacy over miR-34a alone. This approach identified a subset of microRNAs that was able to enhance the miR-34a antiproliferative activity. These microRNA combinatorial therapeutics could offer superior tumor-suppressive abilities to suppress oncogenic properties compared to a monotherapeutic approach. Collectively these studies aim to address an unmet need of identifying, characterizing, and therapeutically targeting microRNAs for the treatment of cancer.

Indexed as

Carcinoma, Non-Small-Cell LungCell Line, TumorCell ProliferationComputational BiologyHigh-Throughput Screening AssaysHumansLung NeoplasmsMicroRNAsMicroRNAsMIRN34 microRNA, humancombinatorial therapeuticsmiR-34miR-34aMirna-34miRNA therapeuticssynergism

Identifiers

PMID31258013
PMCPMC6649554
OpenAlexW2954125501

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.