Evidence map›Paper›PMID 33124527›Full record

ArticleTechnology in cancer research & treatment

Clinical Applications of RNA Editing Technology for the Early Detection of Cancer and Future Directions.

Mujib Ullah, Asma Akbar, Gustavo Yannarelli

Abstract readLetter
In one paragraph

Article in Technology in cancer research & treatment. 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. Role of CD9 Sensing, AI, and Exosomes in Cellular Communication of Cancer.International journal of stem cell research and therapy · 2023
    Article
  3. Review
  4. Review
  5. SAR-CoV-2 infection, emerging new variants and the role of activation induced cytidine deaminase (AID) in lasting immunity.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2021
    Article
  6. 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

3 authors.

Mujib UllahInstitute for Immunity, Transplantation, Stem Cell Biology and Regenerative Medicine, School of Medicine, 6429Stanford University, CA, USA.ORCID 0000-0003-0168-8700
Asma AkbarInstitute for Immunity, Transplantation, Stem Cell Biology and Regenerative Medicine, School of Medicine, 6429Stanford University, CA, USA.
Gustavo YannarelliLaboratorio de Regulación Génica y Células Madre, Instituto de Medicina Traslacional, Trasplante y Bioingeniería (IMeTTyB), Universidad Favaloro-CONICET, Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of cancer has great clinical importance and potentially improves cure, survival rate and treatment outcome. RNA editing technology can be used as targeted and precise molecular scissors to cut and replace disease-causing genes with healthy ones. This is a post transcriptional modification that can lead to the recoding of proteins. RNA editing technology is in its infancy, but it can be used for early diagnoses and effective treatment of cancer. The full potential of precision medicine will be achieved by using the knowledge of RNA reversible-recoding to edit the protein. RNA editing technology could be used to expose chemo resistant cancer cells, dormant cancer stem cells and other malignant tumors. RNA editing generates RNA and protein diversity to accelerate and enhance the screening window for early detection of cancer. We propose that the RNA editing sites could be used as a novel tool for early detection of cancer.

Indexed as

Early Detection of CancerDrug Resistance, NeoplasmHumansNeoplasm ProteinsNeoplasmsPrecision MedicineRNA EditingRNA, NeoplasmNeoplasm ProteinsRNA, Neoplasm

Identifiers

PMID33124527
PMCPMC7607768

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.