Evidence map›Paper›PMID 36071981›Full record

ReviewExploration of targeted anti-tumor therapy2022

miRNA therapeutics in precision oncology: a natural premium to nurture.

Chakresh Kumar Jain, Poornima Srivastava, Amit Kumar Pandey, Nisha Singh, R Suresh Kumar

Abstract readReview
In one paragraph

Review in Exploration of targeted anti-tumor therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
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

5 authors.

Chakresh Kumar Jain *Department of Biotechnology, Jaypee Institute of Information Technology, Noida 201307, India.ORCID https://orcid.org/0000-0002-9226-7719
Poornima Srivastava *Department of Biotechnology, Jaypee Institute of Information Technology, Noida 201307, India.
Amit Kumar PandeyAmity Institute of Biotechnology, Amity University Haryana, Panchgaon, Manesar, Haryana 122413, India.ORCID https://orcid.org/0000-0001-5887-8412
Nisha SinghDepartment of Bioinformatics, Gujarat Biotechnology University, Gandhinagar, GIFT city 382355, India.ORCID https://orcid.org/0000-0002-1950-815X
R Suresh KumarMolecular Genetics Lab, Molecular Biology Group, National Institute of Cancer Prevention and Research (ICMR), Noida 201307, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamic spectrum of microRNA (miRNA) has grown significantly over the years with its identification and exploration in cancer therapeutics and is currently identified as an important resource for innovative strategies due to its functional behavior for gene regulation and modulation of complex biological networks. The progression of cancer is the consequence of uncontrolled, nonsynchronous procedural faults in the biological system. Diversified and variable cellular response of cancerous cells has always raised challenges in effective cancer therapy. miRNAs, a class of non-coding RNAs (ncRNAs), are the natural genetic gift, responsible to preserve the homeostasis of cell to nurture. The unprecedented significance of endogenous miRNAs has exhibited promising therapeutic potential in cancer therapeutics. Currently, miRNA mimic miR-34, and an antimiR aimed against miR-122 has entered the clinical trials for cancer treatments. This review, highlights the recent breakthroughs, challenges, clinical trials, and advanced delivery vehicles in the administration of miRNA therapies for precision oncology.

Indexed as

cancerliposomesmicroRNAsmiRBasemiRTarBase

Identifiers

PMID36071981
PMCPMC9446160

What OpenQuestion holds

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LicenceCC BY
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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.